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. 2021 Dec 16;16(12):e0261292. doi: 10.1371/journal.pone.0261292

A systematic review of self-report measures used in epidemiological studies to assess alcohol consumption among older adults

Kjerstin Tevik 1,2,*, Sverre Bergh 2,3, Geir Selbæk 2,4,5, Aud Johannessen 2,6, Anne-S Helvik 1,2
Editor: Petri Böckerman7
PMCID: PMC8675766  PMID: 34914759

Abstract

Background

There is a lack of standardization regarding how to assess and categorize alcohol intake in older adults. The aim of this study was to systematically review methods used in epidemiological studies to define drinking patterns and measure alcohol consumption among older adults.

Methods

A systematic search was conducted in the MEDLINE, PubMed, PsycINFO, EMBASE, and CINAHL databases for studies published from January 2009 to April 2021. Studies were included if they were observational studies with a quantitative design; the mean age of the participants was ≥ 65 years; questionnaires, screening tools, or diagnostic tools were used to define alcohol consumption; and alcohol consumption was self-reported.

Results

Of 492 studies considered, 105 were included. Among the 105 studies, we detected 19 different drinking patterns, and each drinking pattern had a wide range of definitions. The drinking patterns abstaining from alcohol, current drinking, and risk drinking had seven, 12 and 21 diverse definitions, respectively. The most used questionnaire and screening tools were the quantity-frequency questionnaire, with a recall period of 12 months, and the full and short versions of the Alcohol Use Disorders Identification Test, respectively.

Conclusion

No consensus was found regarding methods used to assess, define, and measure alcohol consumption in older adults. Identical assessments and definitions must be developed to make valid comparisons of alcohol consumption in older adults. We recommend that alcohol surveys for older adults define the following drinking patterns: lifetime abstainers, former drinkers, current drinkers, risk drinking, and heavy episodic drinking. Standardized and valid definitions of risk drinking, and heavy episodic drinking should be developed. The expanded quantity-frequency questionnaire including three questions focused on drinking frequency, drinking volume, and heavy episodic drinking, with a recall period of 12 months, could be used.

Introduction

In recent years, epidemiological studies on alcohol consumption in older adults have been carried out quite regularly, especially in the United States of America (USA) [15] and Europe [69]. Several studies have shown an increase in alcohol consumption and a decrease in the prevalence of abstention among older adults [1012]. Older adults have also been found to drink more frequently than younger age groups [13, 14]. The reported prevalence of abstaining from alcohol [15, 16], current drinking [17, 18], elevated drinking [19], risk-drinking [20, 21], or heavy drinking [6, 22] among older adults varies within and between countries and between studies. Some of the variation in the findings may be due to the method used when questioning participants about alcohol consumption using different questionnaires. It may also be due to the definition used to categorize different drinking patterns. There is a lack of standardization regarding how to assess and categorize alcohol intake in older adults. The absence of standardized definitions of different drinking patterns makes it difficult to compare findings between studies [23]. In addition, there is no international standard for the number of grams of alcohol in one drink or unit of alcohol [2426]. The USA uses the term standard drink [24], which is defined as 14 grams of alcohol [24, 27]. The United Kingdom (UK) uses the term unit of alcohol, which is defined as 8 grams of alcohol [24, 27]. This means that a unit of alcohol in the UK is equivalent to 0.564 (just over half) of a standard drink in the USA. In addition, a standard drink or unit of alcohol might be referred to as a beverage [16] or a glass of alcohol [28] in other studies. In this manuscript, we use the term “drink”, which corresponds to a standard drink in the USA and a unit of alcohol in the UK/Europe.

Compared with younger adults, older adults are more sensitive to alcohol due to reduced metabolism of alcohol and changed body composition with decreased body water and increased body fat, leading to higher blood alcohol concentration and a prolonged effect of alcohol [2931]. Thus, lower levels of alcohol may cause more adverse health consequences in older adults than in younger adults [31]. Different levels of alcohol consumption in middle-aged and older adults have shown to increase the risk for death from coronary heart disease (alcohol intake ≥ 60 g/day in men and ≥ 20 g/day in women) [32], increase the risk of cancer (alcohol intake > 60 g/day in men and > 30 g/day in women) [33], and dementia and Alzheimer’s disease (drinking alcohol five or more times in the previous fortnight) [34].

The greater sensitivity to alcohol should affect how risk consumption is defined in older adults, but internationalized threshold values for risk consumption are not defined. However, alcohol consumption guidelines for older adults have been established in recent years in some Western countries [35]. The US guidelines developed by the National Institute on Alcohol Abuse and Alcoholism (NIAAA) [36] recommend that adults over age 65 who are healthy and do not take medications should not drink more than three drinks on a given day or seven drinks in a week. Drinking above these limits for healthy older adults may cause health problems and be referred to as elevated drinking or risk drinking [36]. However, these recommendations are not internationalized. Because a high proportion of older adults have several chronic health conditions and use medication that may interact negatively in combined use with alcohol, it has been recommended that definitions of risk related to alcohol consumption in older adults include information regarding both current health status and use of medication [23, 37]. Due to the greater sensitivity to health risk of alcohol among older adults, the prevalence of binge drinking in older age is of interest [38, 39]. NIAAA defines binge drinking as consuming five or more drinks among men and four or more drinks among women in about two hours [39]. Assessment of binge drinking is relevant in alcohol surveys of older adults. Furthermore, it may be relevant to distinguish between binging (infrequent heavy) versus spacing (steady daily) drinking patterns [40], and especially among older adults drinking higher weekly volume (i.e., eight drinks or more). These opposite drinking patterns can produce the same weekly alcohol volume [40] but binge drinking may lead to higher risk of negative health consequences than steady daily drinking [41, 42]. In alcohol surveys of older adults, it may also be relevant to ask about the maximum number of drinks consumed in any day, the frequency of subjective drunkenness, drinking context, and duration of drinking occasions [25, 26, 40].

During the last decades there have been several international expert groups and meetings convened to discuss alcohol measurement and drinking patterns in the general adult population [24, 25, 40, 43, 44]. The aim of these expert groups has been to give an overview of the current knowledge on measuring frequency, quantity, and volume of drinking, and make consensus recommendations [24, 25, 40, 43, 44].

In epidemiological studies of alcohol consumption, it is recommended that participants be classified into one of three categories: lifetime abstainer, former drinker, or current drinker [24, 43, 45]. According to the World Health Organization (WHO), a lifetime abstainer can be defined as never having consumed alcohol in their life; a former drinker as not having consumed alcohol in the last 12 months but having consumed alcohol earlier; and a current drinker as drinking alcohol once a year or more [24]. Assessment of alcohol consumption in epidemiological studies can be done through personal face-to-face interviews, telephone interviews, or self-administered questionnaires [24, 43, 44]. The most commonly used methods to define drinking pattern and measure alcohol consumption are, 1) the quantity-frequency (QF) questionnaire, which includes two questions about drinking frequency and the usual number of drinks consumed on drinking days; 2) the graduated quantity-frequency (GQF) questionnaire which includes six questions about frequency of consuming various quantities of drinks; 3) the beverage-specific quantity-frequency (BSQF) questionnaire which includes 18 questions about drinking particular types of alcoholic beverages and the quantity; 4) the last seven days consumption questionnaire, which is a retrospective diary showing how much alcohol a person drank on each of the last seven days; 5) the last occasion questionnaire, which indicates the quantity of alcohol consumed on the last drinking occasion, and 6) the Yesterday method which asks questions about beverage types and sizes of drinks consumed the day before the interview [24, 26, 40, 43, 44, 46, 47].

The QF questionnaire has been widely used to measure alcohol consumption since the early 1950s [44]. The GQF and the BSQF questionnaires measure both volume of alcohol and patterns of drinking, have been used less, but have an advantage over the QF questionnaire which only measure the volume [44]. Previous studies have reported higher estimates of volume and prevalence of high-risk drinking using GQF compared to QF questionnaire and weekly drinking measures [46, 48]. A variation of the QF questionnaire (the ‘period-specific normal week’ assessment instrument) includes questions about drinking variability and asks about alcohol consumption during a normal week the last year [44]. The alcohol consumption during the week is separated between weekdays and on weekend (i.e., Friday, Saturday, and Sunday) [44]. This assessment instrument is relevant to use when exploring groups where weekend drinking may vary substantially from drinking during the week [44]. The Yesterday method may have some advantages in groups where daily drinking is common [47]. An Australian study of the general population found the Yesterday method to minimize under-reporting of overall alcohol consumption compared to the QF and GQF questionnaires, and recommended the Yesterday method as a supplement to the QF and GQF questionnaires [47].

When it comes to questions about drinking frequency, it is preferable to ask in terms of prespecified frequency range categories such as twice a day, daily, 5–6 times a week/nearly every day, 3–4 times a week, 1–2 times a week, 2–3 times a month, once a month, 6–11 times a year, and 1–5 times a year [25]. Furthermore, it is recommended to ask the question in terms of number of drinks per day and not per occasion, since a day may be a more ‘objective’ measure [25]. Continued drinking past midnight should be defined in the day [25].

According to the WHO and other expert groups, studies of alcohol consumption in general populations should contain items for measuring drinking pattern, volume of consumption, and prevalence and volume of high-risk consumption [24, 25]. The minimum required method is an expanded QF questionnaire that includes three questions asking about 1) abstention (lifetime and past 12 months) and drinking frequency, 2) usual number of drinks on drinking days, and 3) the frequency of heavy episodic drinking occasions in the last year (i.e., consuming five or more drinks [> 60 g alcohol] in a single day) [24, 25]. Including question about heavy episodic drinking can counter underestimates of alcohol consumption from the traditional QF questionnaire [40]. Volume of alcohol consumption and threshold values for risk consumption may be set by using the expanded QF, the GQF, and the BSQF questionnaire [24, 43]. In addition, in alcohol surveys, it is recommended to include some questions on alcohol-related problems, such as the screening tool Alcohol Use Disorders Identification Test (AUDIT) [24, 43]. The AUDIT, with 10 structured questions, aims to identify individuals with hazardous and harmful drinking patterns [49]. The short version of the AUDIT (AUDIT-C) consists of the three first questions of the AUDIT [50].

The length of the period for which the respondents are asked about alcohol consumption is called the recall period. The recall period may vary from the last day to lifetime and influences the responses given and the representativeness of the actual consumption [24, 26, 45]. A recall period of 12 months is recommended when using QF, GQF, or BSQF questionnaires because this recall period provides a more comprehensive picture of alcohol consumption [24, 43]. Especially when linking alcohol consumption with alcohol-related consequences, a recall period of at least 12 months is of importance [25]. Shorter recall period is more prone to miss intermittent heavy drinkers [26]. Seasonal variability will also be minimized with 12 months recall period [26].

Even though there have been several previous efforts regarding the standardization of methods to assess, define, and measure alcohol consumption in the adult general population [24, 25, 40, 43, 44], the standardization has so far almost been absent for the aged population. It is important to increase the attention around the need for standardized methodology in alcohol surveys in the aged population. Thus, the aim of this study is to systematically review methods used in epidemiological studies to define drinking patterns and measure alcohol consumption among older adults.

Material and methods

The PRISMA 2009 statement was used as a guideline for writing this review [51]. A PRISMA checklist is provided in S1 Checklist. We do not have a published protocol for this systematic review.

Search strategy and study selection

A librarian conducted a systematic, computerized search in the MEDLINE, PubMed, PsycINFO, EMBASE, and CINAHL databases for articles published from January 2009 to April 2021. The last search was performed April 13, 2021. The following terms were used for searching the databases: ‘alcohol drinking’[MeSH Terms] OR (‘alcohol’[All Fields] AND ‘drinking’[All Fields]) OR ‘alcohol drinking’[All Fields]/trends[MeSH Subheading] OR ‘alcohol drinking/epidemiology’ AND ‘Aged: 65+ years’. Articles were exported and managed using EndNote Version 20. In addition, reference lists of included studies were screened to find studies that were not detected in the systematic searches. Studies were included in the review if the following criteria were met:

  • Mean age of participants ≥ 65 years

  • Observational studies with quantitative design (longitudinal or cross-sectional)

  • Questionnaires, screening tools, or diagnostic tools used to define alcohol consumption

  • Self-reported use of alcohol consumption

  • Published in a scientific referee-based journal and written in English

Studies were excluded from the review if they were

  • Theoretical, qualitative, editorial articles or comments on studies

  • Studies conducted in the general population/sample (≥ 18 years, mean age < 65 years) with subgroup analysis of older adults

  • Intervention studies

  • Review/meta-analysis studies

Identification of relevant studies

After identification of studies through searching in bibliographic databases and examining reference lists to identify relevant publications not detected through the computerized search, each title and abstract was screened by the first and last author (KT or ASH) to determine potential eligibility. The full-text versions were obtained if it was unclear whether the study met the inclusion criteria. Any uncertainty regarding study eligibility was resolved through discussion between two authors (KT/ASH).

Data extraction

From the included studies, the first author (KT) extracted information about year of publication; year of data collection; study country; study population/sample; study design; number of participants; age and gender of participants; questionnaires, screening tools, diagnostic tools or guidelines used to define drinking pattern; recall period; definition of drinking pattern; definition of alcohol content (i.e., grams) in one drink; and measure of alcohol consumption. The present review refers to the measure used by the authors in the original articles in the tables.

Quality assessment

The quality assessment of the included studies was assessed according to nine predefined criteria (see Table 1) [52, 53] by two authors independently (KT and ASH). Disagreement was resolved by discussion between these two authors. A score of 1 was given for +, and a score of 0 was given for both −(minus) and ? (? = unclear). The sum score of the quality assessment of each study could vary between 0 and 9.

Table 1. Criteria for assessing quality.

Criteria Score
1 The aims/objectives of the study clearly described. +/−/?
2 Description of inclusion and exclusion criteria and study participant’s rate. +/−/?
3 Description of study population (age and gender). +/−/?
4 Contained information about study setting. +/−/?
5 Number of participants > 1000. +/−/?
6 Information about non-responders versus responders. +/−/?
7 Funding sources or conflicts of interest that may affect the authors’ interpretation of the results described or ruled out. +/−/?
8 Ethical approval or consent of participants attained. +/−/?
9 Longitudinal design. +/−/?

+ = score 1; − (minus) = score 0; ? (unclear) = score 0.

An overall methodological quality percentage was calculated. Studies who scored ≥ 80% of the maximum obtainable points (≥ 8 points) were considered to have strong quality, studies with a score of 70–79% of the maximum obtainable points (7 points) were considered to have good quality, 50–69% fair quality (5 or 6 points) and < 50% poor quality (≤ 4 points) [54].

Risk of bias in individual studies

We did not assess risk of bias of individual studies as this is a systematic review regarding methods used to define, and measure alcohol consumption and not regarding interventions, prognosis, or etiology.

Ethics

Ethical approval was not required because the study used secondary data.

Results

Literature search and selection

The bibliographic database search identified 2816 articles. After duplicates were removed, 1279 studies were identified. We found 15 additional records in the reference lists of included studies that were not detected through the systematic searches. Each title and abstract of the 1294 studies were screened by two authors (KT or ASH), and the full texts of 492 studies were considered for possible inclusion. Of the 492 full-text studies considered, 105 were included. Fig 1 presents the PRISMA flow diagram [51], which gives an overview of the search strategy and detailed information about studies that were identified, screened, assessed for eligibility, and included in the review.

Fig 1. Flow diagram depicting study identified, screened, assessed for eligibility, and included in this review [51].

Fig 1

Settings and samples

The characteristics of the included studies (N = 105) are presented in one large sample (S1 Table). The sample size of individual studies ranged from 25 to 36,136,889. The mean age of the participants was from 65.0 to 87.4 years, and the age range was 18 to 105 years. Men and women were included in almost all studies, except for six that included only men [15, 5559] and two that included only women [60, 61].

In total, 81 of 105 studies included community-dwelling participants. Eleven studies recruited participants from different health care settings such as hospitals, old-age psychiatry clinic, an adult psychiatry clinic, and public centers [18, 19, 6270]. Three studies included both non-institutionalized and institutionalized participants [6, 71, 72], and one study included only Veteran Affairs patients [73]. The study setting and the participants were not clearly described in nine studies [1, 7481]. In total, 42 of the studies were conducted in Europe, 28 in the USA, 10 in Australia/New Zealand, eight in Latin/South America, 14 in Asia, and one in Africa. Two studies were conducted in both Norway and China.

Design

Forty-one of the studies had a longitudinal design, and 64 had a cross-sectional design.

Quality assessment of the included studies

A description of the quality assessment of the included studies is provided in Table 2. Twenty-eight studies received ≥ 8 points indicating strong quality, 38 studies received 7 points (good quality), 36 studies received either 5 or 6 points (fair quality), and three studies received 4 points (poor quality).

Table 2. Quality assessment of included studies.

First author (reference) 1 Aim 2 Inclusion/exclusion 3 Population (age/gender) 4 Study setting 5 n > 1000 6 Responders / non-responders comparison 7 Funding resources/ conflict of interest 8 Ethical approval/ consent 9 Longi-tudinal Score +/-/? Max score 9
Aalto et al. 2011 [50] + + + + - - + + - 6
Agahi et al. 2016 [6] + + + + - - + + + 7
Agahi et al. 2019 [74] + + + ? + - + + + 7
Aguila et al. 2016 [82] + + + + + - + + + 8
Ahlner et al. 2018 [71] + + + + + - + + - 7
AlGhatrif et al. 2013 [15] + + + + - + + - + 7
Almeida et al. 2014 [55] + + + + + - + + + 8
Almeida et al. 2017 [56] + + + + + - + + + 8
Barnes et al. 2010 [83] + + + + + - + - - 6
Bazal et al. 2019 [75] + + + ? + - + + + 7
Bell et al. 2015 [84] + + + + + - + + + 8
Britton et al. 2020 [85] + + + + + - + + + 8
Bryant et al. 2013 [86] + + + + + - - - - 5
Bryant et al. 2013 [87] + + + + + - + - - 6
Bryant et al. 2019 [88] + + + + + - - + - 6
Buja et al. 2010 [77] + + + ? + - + - + 6
Buja et al. 2011 [76] + + + ? + + + + + 8
Chan et al. 2010 [62] + + + + - + + + - 7
Chavez et al. 2016 [73] + + + + + - + + + 8
Choi et al. 2011 [89] + + + + + - + - - 6
Cohen-Mansfield et al. 2012 [28] + + + + + - + + - 7
Cousins et al. 2014 [90] + + + + + - + + - 7
D’Ovidio et al. 2019 [65] + + + + + - + + - 7
Davis et al. 2014 [78] + + + ? + + + + - 7
Dhana et al. 2020 [91] + + + + + - + + + 8
Forlani et al. 2014 [92] + + + + - - + + - 6
Foster et al. 2019 [93] + + + + + - + + - 7
Fuentes et al. 2017 [7] + + + + + - + + - 7
Gargiulo et al. 2013 [94] + + + + + ? + + + 8
Gibson et al. 2017 [17] + + + + + + + + - 8
Gonzalez-Rubio et al. 2016 [95] + + + + - - + + - 6
Goulden 2016 [1] + + + ? + - + + + 7
Guidolin et al. 2016 [72] + - + + - - - + - 4
Hajek et al. 2017 [96] + + + + + - + + - 7
Halme et al. 2010 [97] + + + + + - + - + 7
Han et al. 2019 [98] + + ? + + - + + - 6
Hassing 2018 [8] + + + + - + + + + 8
Heegard et al. 2011 [16] + + + + - + - + - 6
Heffernan et al. 2016 [99] + + + + - + + + + 8
Hoang et al. 2014 [60] + + + + + + + + + 9
Hoeck et al. 2013 [100] + + + + + - + - - 6
Holton et al. 2019 [101] + + + + + ? + + + 8
Hongtong et al. 2016 [102] + + + + - - + + - 6
Ilomaki et al. 2013 [57] + + + + + - + + - 7
Ilomaki et al. 2014 [58] + + + + + - + + - 7
Immonen et al. 2011 [103] + + + + + + - - - 6
Immonen et al. 2013 [104] + + + + + - + + - 7
Iparraguirre 2015 [20] + + + + + - + + + 8
Ivan et al. 2014 [63] + + + + - - + + - 6
Jentsch et al. 2017 [61] + + ? + + - + + - 6
Jeong et al. 2012 [105] + - + + - - + + + 6
Johannessen et al. 2017 [19] + + + + - + + + - 7
Kim et al. 2015 [106] + + + + + - + + - 7
Kim et al. 2020 [66] + + + + - - + + - 6
Kohno et al. 2019 [81] + + + - + - + + - 6
Lasebikan et al. 2015 [107] + + + + + - - + - 6
Li et al. 2017 [108] + + + + + + + + - 8
Li et al. 2019 [109] + + + + + - + + - 7
Lima et al. 2009 [22] + + + + - - + + - 6
Listabarth et al. 2021 [110] + + + + + - + - - 6
Liu et al. 2019 [111] + + + + + - + + + 8
Machado et al. 2017 [21] + + + + + - + - - 6
Marti et al. 2015 [112] + ? ? + + - + - - 4
McCaul et al. 2010 [113] + + + + + - + - + 7
McClure et al. 2013 [2] + - + + + - + + - 6
McEvoy et al. 2013 [3] + + + + + + + + + 9
Merrick et al. 2011 [114] + + + + + - - - + 6
Moore et al. 2009 [115] + + + + + - + + - 7
Munoz et al. 2018 [9] + + + + + ? + + - 7
Nadkarni et al. 2011 [116] + + + + + - + + - 7
Nogueira et al. 2013 [117] + + + + + - + + - 7
Nuevo et al. 2015 [118] + + + + + - + + - 7
Ormstad et al. 2016 [79] + - + ? + - + - + 5
Ortola et al. 2017 [119] + + + + + - + + + 8
Ortola et al. 2019 [120] + + + + - - + + + 7
Parikh et al. 2015 [121] + ? + + + - + - - 5
Rao et al. 2015 [122] + + + + + - + - - 6
Richard et al. 2017 [4] + + + + + - + + + 8
Roson et al. 2010 [18] + + + + + - + + - 7
Ryan et al. 2013 [123] + + + + + - + - - 6
Sacco et al. 2009 [124] + + + + + - + - - 6
Sanford et al. 2020 [125] + + + + + - + + - 7
Satre et al. 2011 [64] + + + + - - + + - 6
Scott et al. 2020 [80] + + + ? + - + - + 6
Shaw et al. 2011 [126] + + + + + - + - + 7
Shiotsuki et al. 2019 [67] + + + + + - + + - 7
Siddiquee et al. 2020 [59] + + + + - - + + - 6
Soler-Vila et al. 2019 [127] + + + + + - + + + 8
Suo et al. 2019 [68] + + + + + - + + - 7
Tait et al. 2013 [128] + + + + + - + + + 8
Tateishi et al. 2019 [69] + + + + + - + + + 8
Tevik et al. 2017 [129] + + + + + - + + - 7
Tevik et al. 2019 [130] + + + + + + + + + 9
Towers et al. 2018 [131] + + + + + - + - - 6
Towers et al. 2019 [132] + + + + + - + + - 7
Vafeas et al. 2017 [133] + + - + - - - + - 4
van Oort et al. 2020 [134] + + + + - - + + + 7
Villalonga-Olives et al. 2020 [135] + + + + + - ? + + 7
Villar Luis et al. 2018 [136] + + + + - - - + - 5
Waern et al. 2014 [12] + + + + + + + + - 8
Wang et al. 2017 [137] + + + + + + + + - 8
Weyerer et al. 2011 [138] + + + + + - + + + 8
Weyerer et al. 2009 [139] + + + + + + + + - 8
Wilson et al. 2014 [5] + + + + + - + - - 6
Zaitsu et al. 2020 [70] + + + + + ? + + - 7

+ = score 1; − (minus) = score 0; ? (unclear) = score 0.

Assessment of alcohol consumption

Alcohol consumption was assessed using the QF questionnaire in 34 studies, the BSQF questionnaire in six studies, and the GQF questionnaire in one study (see Tables 3 and 4). Thirty-six of the studies used either screening tools, diagnostic tools, or guidelines to define different drinking patterns (Tables 3 and 4). In total, eight different screening tools were used, and the AUDIT (4 studies) and short version of the AUDIT (AUDIT-C, 9 studies) were the most used tools. A cutoff value of eight or more was used by three studies applying the AUDIT to define risk drinking [105, 133, 136]. Four of the studies using the AUDIT-C chose a cutoff of four or more in men and three or more in women for hazardous drinking [18, 84, 132] and elevated alcohol consumption [19], respectively (S1 Table). Another study using the AUDIT-C showed a sensitivity and specificity of 94% and 80%, respectively, with a cutoff value of four or more when screening for heavy drinking [50].

Table 3. Method and measure of alcohol consumption in older adults.

Author and country Recall period Data collection Questionnaire/screening tool/diagnostic tool/guidelines Measure
Aalto et al. 2011 Finland [50] Last month Self-reporting AUDIT g/week, drinks/week score of screening
Agahi et al. 2016 Sweden [6] Last 12 months Face-to-face interview QF drinks/month
Agahi et al. 2019 Sweden [74] Last 12 months Face-to-face interview Drinking frequency times/week
Aguila et al. 2016 Mexico [82] Last month Face-to-face interview QF, NIAAA guidelines drinks/week
Ahlner et al. 2018 Sweden [71] Last month Self-reporting Drinking frequency
Weekly volume of alcohol: beer, wine, spirits
days/week
g/week
AlGhatrif et al. 2013 USA [15] Last month In-home interviews QF drinks/month
Almeida et al. 2014 Australia [55] Last week Face-to-face interview Weekly quantity of drinks drinks/week
Almeida et al. 2017 Australia [56] Last week Face-to-face interview Weekly quantity of drinks drinks/week
Barnes et al. 2010 USA [83] Last 12 months Mailed survey CARET score of screening
Bazal et al. 2019 Spain [75] Not reported Self-reporting Validated food-frequency questionnaire g/day
g/week
units/week
Bell et al. 2015 England [84] Last 12 months Self-reporting Drinking frequency
Daily quantity of drinks
AUDIT
times/week
drinks/day
score of screening
Britton et al. 2020 United Kingdom [85] Last week AUDT-C: not reported Self-reporting Weekly volume and weekly quantity of units of alcohol
AUDIT-C
g/week, units/week
score of screening
Bryant et al. 2013 USA [86] Last 12 months Telephone survey QF
Frequency of binge drinking
drinks/day
days/year
Bryant et al. 2013 USA [87] Last 12 months Telephone survey Frequency of binge drinking drinks/sitting, days/year
Bryant et al. 2019 USA [88] Last month Telephone interview QF drinks/month
Buja et al. 2010 Italy [77] Last week Face-to-face interview Daily volume of wine or beer
Weekly volume of spirits
g/day
g/week
Buja et al. 2011 Italy [76] Last 12 months Face-to-face interview Daily volume of wine or beer
Weekly volume of spirits
g/day
g/week
Chan et al. 2010 China [62] Not reported Face-to-face interview BSQF g/week
Chavez et al. 2016 USA [73] Last 12 months Face-to-face interview AUDIT-C score of screening
Choi et al. 2011 USA [140] Last 3 months Self-reporting QF and binge drinking drinks/day
Cohen-Mansfield et al. 2012 Israel [28] Last month In-home interview QF glass of different beverages/day
Cousins et al. 2014 Ireland [90] Last 6 months Self-reporting QF, NIAAA guidelines
CAGE
drinks/day, drinks/week, score of screening
D’Ovidio et al. 2019 Ireland, the Netherlands, and Italy [65] Lifetime Self-reporting Weekly quantity of units/glasses of alcohol Lifetime total units of alcohol
Davis et al. 2014 Iceland [78] Last month Self-reporting QF g/week, drinks/week
Dhana et al. 2020 USA [91] Not reported Self-reporting Food frequency questionnaire drinks/day, g/day
Forlani et al. 2014 Italy [92] Not reported Face-to-face interview Daily quantity of each beverage units/day
Foster et al. 2019 England [93] Last week Self-reporting Drinking diary: weekly quantity of units of alcohol units/week
Fuentes et al. 2017 Europe [7] Last 3 months Self-reporting QF and binge drinking drinks/occasion
Gargiulo et al. 2013 Italy [94] Not reported In-home-interview Daily volume of wine drinking ml/day
Gibson et al. 2017 Jamaica [17] Last 12 months Self-reporting Assessed drinking alcohol last month not reported
Gonzalez-Rubio et al. 2016 Spain [95] Last 12 months Interviewed by a trained nutritionist QF g/day
Goulden 2016 USA [1] Last 3 months Telephone/In person interview QF g/day
Guidolin et al. 2016 Brazil [72] Last 12 months In-home/In-hospital interview Mini International Neuropsychiatric Interview diagnostic criteria
Hajek et al. 2017 Germany [96] Not reported Computer assisted interview Drinking frequency times/week
Halme et al. 2010 Finland [97] Last 12 months Self-reporting BSQF drinks/week
Han et al. 2019 USA [98] Last month Self-reporting Binge drinking drinks/occasion
Hassing 2018 Sweden [8] Not reported Self-reporting BSQF drinks/week
Heegaard et al. 2011 Denmark [16] Last week Face-to-face interview Weekly quantity of different beverages beverages/week
Heffernan et al. 2016 Australia [99] Last 12 months Face-to-face interview QF drinks/day
Hoang et al. 2014 USA [60] Last month Self-reporting QF drinks/week
Hoeck et al. 2013 Belgium [100] Last week Self-reporting Weekly quantity of glasses of alcohol
CAGE
glasses/week
score of screening
Holton et al. 2019 Ireland [101] Not reported Self-reporting QF drinks/week
Hongthong et al. 2016 Thailand [102] Not reported Face-to-face interview Quantity per drinking episode
Drinking frequency
drinks/drinking episode days/week
Ilomaki et al. 2013 Australia [57] Last 12 months Self-reporting Expanded QF (including binge drinking) CAGE drinks/day
score of screening
Ilomaki et al. 2014 Australia [58] Last 12 months Self-reporting Expanded QF (including binge drinking) CAGE drinks/day
score of screening
Immonen et al. 2011 Finland [103] Not reported Self-reporting QF drinks/day, drinks/week
Immonen et al. 2013 Finland [104] Not reported Self-reporting QF drinks/day, drinks/week
Iparraguirre et al. 2015 England [20] Not reported Self-reported Guidelines: National Institute for Health and Care Excellence units/week
Ivan et al. 2014 USA [63] Last month Self-reporting Weekly quantity of drinks drinks/week
Jentsch et al. 2017 Germany [61] Not reported Telephone survey/self-report AUDIT-C score of screening
Jeong et al. 2012 Korea [105] Last 12 months Clinical interview AUDIT drinks/week, score of screening
diagnostic criteria
DSM-IV
Johannessen et al. 2017 Norway [19] Not reported Face-to-face interview AUDIT, AUDIT-C score of screening
Kim et al. 2015 Korea [106] Not reported Face-to-face interview AUDIT score of screening
Kim et al. 2020 Korea [66] Last 12 months and lifetime Face-to-face interview QF standard drinks/week g/week
Kohno et al. 2019 Japan [81] Not reported Face-to-face interview Weekly drinking frequency.
Assessed type of alcohol and daily quantity of grams of alcohol according to a formula
days/week
g/day
Lasebikan et al. 2015 Nigeria [107] Last week Face-to-face interview Daily and weekly quantity of units of alcohol units/day, units/week
Li et al. 2017 China and Norway [108] Last 12 months Self-reporting Drinking frequency (Norway) time/month
Li et al. 2019 China and Norway [109] China: Not reported Norway: Last 12 months Self-reporting China: Daily and weekly quantity of drinks (liquor, wine, beer)
Norway: Drinking frequency
China: drinks/day, drinks/week
Norway: days/week
Lima et al. 2009 Brazil [22] Not reported Self-reporting Daily quantity of beverages drinks/day
Listabarth et al. 2020 12 European countries [110] Last week Last 3 months Computer assisted personal interview Weekly quantity of drinks
Frequency of excessive drinking
drinks/occasion
Liu et al. 2019 Japan [111] Not reported Self-reporting QF units/day
Villar Luis et al. 2018 Brazil [136] Not reported In home interview AUDIT, MAST-G score of screening
Machado et al. 2017 Latin America [21] Not reported Self-reporting QF, NIAAA guidelines units/week
Marti et al. 2015 USA [112] Last month Computer assisted interview Binge drinking drinks/occasion
McCaul et al. 2010 Australia [113] Not reported Self-reporting Drinking frequency
Quantity of drinks per day
days/week
drinks/day
McClure et al. 2013 USA [2] Last 12 months Self-reporting QF
Binge drinking
drinks/week
drinks at one sitting
McEvoy et al. 2013 USA [3] Not reported Self-reporting Weekly quantity of different beverages NIAAA guidelines g/week, drinks/day
Merrick et al. 2011 USA [114] Last 12 months Computer assisted interview QF, heavy episodic drinking, NIAAA guidelines drinks/month, drinks/day
Moore et al. 2009 USA [115] Last 12 months Face-to-face interview QF drinks/week
Munoz et al. 2018 Europe [9] Last 12 months Computer assisted interview Composite International Interviews, DSM-IV diagnostic criteria
Nadkarni et al. 2011 Dominican Republic [116] Not reported Face-to-face interview Weekly quantity of units of alcohol units/week
Nogueira et al. 2013 Brazil [117] Not reported Face-to-face interview Screening for lifetime alcohol abuse and dependence (SRQ) score of screening
Nuevo et al. 2015 Europe [118] Last week Face-to-face interview Timeline-follow-back method standard drinks/week
Ormstad et al. 2016 Norway [79] Not reported Self-reporting Drinking frequency times/week
Ortola et al. 2017 Spain [119] Last 12 months In-home interview Validated diet history
Binge drinking
g/day
g/drinking occasion
Ortolà et al. 2019 Spain [120] Last 12 months Computer assisted telephone interview Validated diet history (34 alcoholic beverages) g/day
Parikh et al. 2015 USA [121] Last month Self-reporting Binge drinking drinks/occasion
Rao et al. 2015 United Kingdom [122] Not reported Self-reporting Weekly quantity of units of alcohol units/week
Richard et al. 2017 USA [4] Last 12 months Self-reporting QF times/week, drinks/day
Roson et al. 2010 Spain [18] Not reported Self-reporting QF
AUDIT, AUDIT-C, SIAC
drinks/week, g/week score of screening
Ryan et al. 2013 USA [123] Last 12 months Face-to-face interview QF, heavy episodic drinking, NIAAA guidelines drinks/month, drinks/day
Sacco et al. 2009 USA [124] Last 12 months Face-to-face interview QF, NIAAA guidelines
DSM-IV
drinks/week, drinks/occasion diagnostic criteria
Sanford et al. 2020 USA [125] Last 12 months Self-reporting Daily quantity of drinks
Binge drinking
drinks/day
Satre et al. 2011 USA [64] Last 30 days Telephone interview Drinking frequency
GQF
SMAST Heavy episodic drinking
days/month drinks/month
score of screening drinks/occasion
Scott et al. 2020 USA [80] Last 3 months Self-reporting QF drinks/day, drinks/week
Shaw et al. 2011 USA [126] Last month Self-reporting QF, NIAAA guidelines drinks/month
Shiotsuki et al. 2019 Japan [67] Not reported Self-reporting Daily volume of alcohol prior to stroke onset g/day
Siddiquee et al. 2020 Japan [59] Last week/ month Self-reporting BSQF g/day
Soler-Vila et al. 2019 Spain [127] Last year Last month Computer assisted telephone interview Validated diet history: daily quantity of drinks and volume of alcohol and binge drinking drinks/day
g/day
g/session
Suo et al. 2019 China [68] Lifetime Electronic questionnaire Yearly volume of alcohol (spirits, beer, wine) (cumulative drinking amount) g/day-years
Tait et al. 2013 Australia [128] Not reported Self-reporting QF, Australian guidelines drinks/day
Tateishi et al. 2019 Japan [69] Not reported Self-reporting Daily volume of alcohol consumption g/day
Tevik et al. 2017 Norway [129] Last 12 months Self-reporting Drinking frequency days/week
Tevik et al. 2019 Norway [130] Last 12 months Self-reporting Drinking frequency days/week
Towers et al. 2018 New Zealand [131] Not reported Self-reporting AUDIT-C drinks/day
Towers et al. 2019 New Zealand [132] AUDIT-C: 12 months
CARET: Not reported
Self-reporting AUDIT-C, CARET AUDIT-C: score of screening
CARET: not reported cut-off value
Vafeas et al. 2017 Australia [133] Not reported Self-reporting AUDIT score of screening
van Oort et al. 2020 The Netherlands [134] Last 12 months Self-reporting Validated food-frequency questionnaire g/week
Villalonga-Olives et al. 2020 USA [135] Last 3 months Self-reporting Frequency of binge drinking drinks/occasion
Waern et al. 2014 Sweden [12] Last week Psychiatric interview Drinking frequency
Weekly volume of alcohol intake
times/week
g/week
Wang et al. 2017 China [137] Last 12 months Face-to face interview Drinking frequency days/week
Weyerer et al. 2009 Germany [139] Not reported Structured clinical interview BSQF, Guidelines: British Medical Association g/day
Weyerer et al. 2011 Germany [138] Not reported Structured clinical interview BSQF g/day
Wilson et al. 2014 USA [5] Not reported Self-reporting QF, NIAAA guidelines, binge drinking
ARPS Risk Classification Algorithm
times/week
drinks/week, drinks/day score of screening
Zaitsu et al. 2020 Japan [70] Lifetime Self-reporting Daily number of drinks and drinking years drinking years
drinks–years
drinks/day

ARPS = Alcohol Related Problem Survey; AUDIT = Alcohol Use Disorders Identification Test; BSQF = Beverage Specific Quantity-Frequency; CAGE = Cut down, Annoyed, Guilty, Eye opener; CARET = Comorbidity Alcohol Risk Evaluation Tool; DSM-IV = Diagnostic and Statistical Manual of Mental Disorders; GQF = Graduated Quantity-Frequency; ICD = International Classification of Diseases; MAST-G = Michigan Alcoholism Screening Test–Geriatric Version; NIAAA = National Institute on Alcohol Abuse and Alcoholism; QF = Quantity Frequency; SIAC = Systematic Inventory Alcohol consumption questionnaire; SMAST = Short Michigan Alcohol Screening Test.

Table 4. Methods used to define drinking pattern.

Method N studies*
QF 34
BSQF 6
GQF 1
Daily quantity (units) or volume (gram) of alcohol 13
Weekly quantity (drinks/glasses/units) or volume (gram) of alcohol 17
Yearly alcohol consumption (g/day-years, drink/years) 2
Drinking frequency 16
Binge drinking/heavy episodic drinking 18
Screening tools** 21
Diagnostic tools*** 4
Guidelines 11
Food-frequency questionnaire 3
Drinking diary 1
Diet history 2
Other 4

QF = Quantity-Frequency; BSQF = Beverage Specific Quantity-Frequency; GQF = Graduated Quantity-Frequency.

*The number of studies does not sum up to 105 as several studies used several methods to define drinking pattern.

**ARPS (Alcohol Related Problem Survey) Risk Classification Algorithm; AUDIT (Alcohol Use Disorders Identification Test); AUDIT-C (short version); CAGE (Cut down, Annoyed, Guilty, Eye opener); CARET (Comorbidity Alcohol Risk Evaluation Tool); MAST-G (Michigan Alcoholism Screening Test-Geriatric version); SMAST (Short Michigan Alcohol Screening Test); SRQ (Screening for lifetime alcohol abuse and dependence).

***DSM-IV (Diagnostic and Statistical Manual of Mental Disorders); Mini International Neuropsychiatric Interview.

The recall period varied from the last week to lifetime (see Table 3). Most of the studies used the last 12 months (N = 34), last month (N = 16), or last week (N = 12) as a recall period. Recall periods of three and six months were used by six studies and one study, respectively. A lifetime recall period was used by four studies. Thirty-five studies did not report the recall period. All studies used self-report to assess alcohol consumption.

A high proportion of the included studies (N = 67) used drinks, units, beverages, or glasses per day, week, or month to measure alcohol consumption (see Tables 3 and 5). In total, 39 of these studies (N = 67) defined the alcohol content in one standard drink, unit, or beverage. The definition of one standard drink, unit, or beverage varied from 8 grams of alcohol to 50 grams of alcohol. The alcohol content in one standard drink or unit was defined as 8 grams, 10 grams, and 12 grams in 6, 16, and 8 studies, respectively. In four studies, a standard drink or unit was defined as 13 and 15 grams of alcohol, respectively, while six studies defined a standard drink or unit as 14 grams of alcohol. Studies conducted in China [109] and Japan [59, 70, 111] defined a standard drink of unit as 50 grams of alcohol [109] and 20–23 grams of alcohol [59, 70, 111], respectively. Three studies used several definitions of one standard drink [59, 99, 118], whereas two studies defined the alcohol content in one drink in ounces [60, 88]. Twenty-eight studies (N = 28) used grams of alcohol per day or week as a measure.

Table 5. Different measures of alcohol consumption.

Measure N studies*
drinks/standard drinks/units/beverages per day 26
drinks/standard drinks/units/beverages/glasses per week 34
drinks/month 7
drinks on one occasion/sitting/drinking episode 11
g/day 17
g/week 11
g/drinking occasion/session 2
ml/day 1
times/week 7
days/week 9
days or time/month 2
days/year 2
drink-years 1
g/day–years 1
lifetime total units of alcoholic beverages 1
score of screening or diagnostic criteria 23

g = gram; ml = milliliters.

*The number of studies does not sum up to 105 as several studies used several measures of alcohol consumption.

In total, 19 different drinking patterns were detected, which ranged from abstaining to alcohol abuse (see Table 6). Each drinking pattern had diverse definitions. The drinking patterns abstaining from alcohol, current drinking, risk drinking, and heavy drinking had, for example, seven, 12, 21, and 25 diverse definitions, respectively (Table 6). The definitions of abstaining from alcohol ranged from not drinking alcohol at all in their entire life to drinking less than one unit a week. Twenty-three studies separated abstainers from former drinkers when defining abstainers. Current drinkers were defined as drinking alcohol in the last 12 months to consuming ≥ 60 grams of alcohol per day. The definition of risk drinking ranged from drinking eight or more drinks per week for both women and men to drinking 35 and 50 drinks per week for women and men, respectively. Table 6 describes the range of definitions for other drinking patterns. Twenty-one studies defined heavy episodic drinking/binge drinking, and the most used definition was drinking five or more drinks on any occasion within the past 30 days.

Table 6. Definitions of different pattern of alcohol consumption.

Category Definition Author and country
ABSTAINERS
Lifetime abstainers Not drinking alcohol in their entire life AlGhatrif et al. 2013 USA [15]
Lifetime abstainers Never consumed alcohol Jentsch et al. 2017 Germany [61] Zaitsu et al. 2020 Japan [70]
Lifetime abstainers < 12 drinks in life Sanford et al. 2020 USA [125]
Lifetime abstainers Not defined Towers et al. 2019 New Zealand [132]
Abstainer Denied drinking alcohol Scott et al. 2020 USA [80]
Abstainers Did not drink alcohol Agahi et al. 2016 Sweden [6]
Abstainers No current or past alcohol consumption Buja et al. 2011 Italy [76]
Abstainers Not drinking at all during the last year Halme et al. 2010 Finland [97]
Abstainers No alcohol use in past 12 months Heffernan et al. 2016 Australia [99]
Abstainers Did not drink at all during the previous year Lima et al. 2009 Brazil [22]
Abstainers < 1 beverage/week Heegaard et al. 2011 Denmark [16]
Never drinkers Never consumed/drunk alcohol Tevik et al. 2019 Norway [130], Siddiquee et al. 2020 Japan [59]
Never drinkers Average alcohol intake of 0 g/day Ortolà et al. 2019 Spain [120]
Never drinkers Had not consumed > 12 alcoholic drinks during their lifetime Ilomaki et al. 2013 Australia [57], Ilomaki et al. 2014 Australia [58]
Never drinker Not defined Zaitsu et al. 2020 Japan [70]
Never Not defined D’Ovidio et al. 2019 Ireland, the Netherlands, and Italy [65]
Current abstainers Not defined Towers et al. 2019 New Zealand [132]
NON-DRINKERS
Non-drinkers Life-time abstainers and those who did not drink within the last year (former drinkers) Richard et al. 2017 USA [4]
Non-drinkers Being abstinent from alcohol a period of 4 years Goulden et al. 2016 USA [1]
Non-drinkers last year Not consumed alcohol last year Tevik et al. 2019 Norway [130]
Non-drinkers or occasional drinkers Consumed a mean of 0 glasses alcohol/week Hoeck et al. 2013 Belgium [100]
Non-drinkers 0 g alcohol/week Chan et al. 2010 China [62] van Oort et al. 2020 The Netherlands [134]
Non-drinkers 0 drinks/week Hoang et al. 2014 USA [60]
Non-drinkers Life-long abstainers and very occasional drinkers (individuals who reported 0 g/day of alcohol intake in the last year, but self-described as drinkers) Soler-Vila et al. 2019 Spain [127]
Non-drinker Did not drink alcohol last year Britton et al. 2020 United Kingdom [85]
Non drinker Not defined Kim et al. 2020 Korea [66]
Non-drinkers Not defined Liu et al. 2019 Japan [111]
Non-drinker Not defined Shiotsuki et al. 2019 Japan [67]
FORMER DRINKERS
Former drinkers Consumed alcohol in the past, but did not consume any alcohol during the previous 12 months Ilomaki et al. 2013 Australia [57], Ilomaki et al. 2014 Australia [58]
Former drinkers Drank alcohol during their entire life, but not the past month AlGhatrif et al. 2013 USA [15]
Former drinkers Consumed alcohol in the past, but no longer at the time of the interview Buja et al. 2011 Italy [76]
Ex-drinkers Drank previously, but not in the past 12 months Marti et al. 2015 USA [112]
Ex-drinkers Drank in the past, but stopped drinking currently Chan et al. 2010 China [62]
Former drinkers Previously reported consumption, but none in the most recent phase Britton et al. 2020 United Kingdom [85]
Former drinker Used to drink regularly, but have not drunk in the past year Kim et al. 2020 Korea [66]
Former drinkers No drinks in the past year Sanford et al. 2020 USA [125]
Former drinker Not defined Zaitsu et al. 2020 Japan [70]
Former drinker Not defined D’Ovidio et al. 2019 Ireland, the Netherlands, and Italy [65]
Ex drinkers Quit before interview Siddiquee et al. 2020 Japan [59]
Ex-drinkers Average alcohol intake of 0 g/day who answered that they used to drink but had quit Ortolà et al. 2019 Spain [120]
Ex drinkers Quit drinking and reported 0 g/day of alcohol intake last 12 months Soler-Vila et al. 2019 Spain [127]
Ex-drinkers Stopped drinking alcohol for at least two years before the interview date Suo et al. 2019 China [68]
CURRENT DRINKERS
Current alcohol use Alcohol consumption last 12 months Gibson et al. 2017 Jamaica [17]
Current drinking Alcohol consumption last 12 months Wang et al. 2017 China [137]
Current drinkers ≥ 1 drink in the past year Sanford et al. 2020 USA [125]
Current drinkers Alcohol consumption last 6 months Cousins et al. 2014 Ireland [90]
Current drinkers Consumed alcohol at the time of the interview Buja et al. 2011 Italy [76]
Current drinkers At least alcohol consumption a few times a year Tevik et al. 2019 Norway [130]
Current drinkers ≥ 12 drinks during the previous 12 months Ilomaki et al. 2014 Australia [58]
Current drinkers Drunk alcohol in the past week or month Siddiquee et al. 2020 Japan [59]
Current drinkers > 1 drink/week Roson et al. 2010 Spain [18]
Current drinkers Average alcohol intake > 0 g/day Ortolà et al. 2019 Spain [120]
Current drinker Definition 1: 40–59 g/day
Definition 2: ≥ 60 g/day
Shiotsuki et al. 2019 Japan [67]
Current drinker Not defined Zaitsu et al. 2020 Japan [70]
Current drinker Not defined D’Ovidio et al. 2019 Ireland, the Netherlands, and Italy [65]
Present alcohol consumption China: Drank alcohol at present; Norway: Alcohol consumption ≥ once a month Li et al. 2017 China and Norway [108]
Past year alcohol consumption Consumed any alcohol in the past 12 months Bryant et al. 2013 USA [86]
Minimal/non-users < 1 drink/month Immonen et al. 2013 Finland [104]
Lifetime drinkers Drinking any type of alcoholic beverages ≥ 12 times during their lifetime Munoz et al. 2018 Europe [9]
OCCASIONAL DRINKERS
Occasional drinkers < 4 drinks/month Gonzàles-Rubio et al. 2016 Spain [95]
Occasional drinkers Drinking at least once over a period of 4 years, but less than once a week Goulden 2016 USA [1]
Occasional drinkers < 1 time a month, 1–3 times a month, once a week or several times a week Hajek et al. 2017 Germany [96]
Occasional drinking < 1 drink/week Hassing 2018 Sweden [8]
Occasional drinkers At least 1 standard drink but < 15 (< 12 for women) in a single week or < 5 (< 4 for women) on the same day Nuevo et al. 2015 Europe [118]
Occasional drinkers Including nondrinkers and < 1 day/week Kohno et al. 2019 Japan [81]
Occasional drinkers Alcohol consumption a few times a year Tevik et al. 2019 Norway [130]
Occasional drinker Not defined Shiotsuki et al. 2019 Japan [67]
Rarely drinking Reported alcohol consumption, but not in the past year McCaul et al. 2010 Australia [113]
MILD DRINKERS
Mild drinking > 1 standard drink/week Kim et al. 2020 Korea [66]
Mild drinkers < 20 g/day Kohno et al. 2019 Japan [81]
LIGHT TO MODERATE DRINKERS
Very light drinkers < 1 drink/week Davis et al. 2014 Iceland [78]
Very light drinkers < 14 g/day Siddiquee et al. 2020 Japan [59]
Light drinkers > 0 to < 3 drinks per week Hoang et al. 2014 USA [60]
Light drinkers ≤ 3 drinks/week Moore et al. 2009 USA [115]
Light drinking 0 < drinks ≤ 7 per week Jeong et al. 2012 Korea [105]
Light drinkers 14–23 g/day van Oort et al. 2020 The Netherlands [134]
Light drinkers ≤ 1 standard drink/day and no binge drinking in the last 30 days Soler-Vila et al. 2019 Spain [127]
Light drinkers 0–30 g/week van Oort et al. 2020 The Netherlands [134]
Light-to-moderate drinkers 0.5–30 drinks/month Agahi et al. 2016 Sweden [6]
Light-to-moderate drinkers Women: 1–7 drinks/week Davis et al. 2014 Iceland [78]
Light drinkers Men: 1–7 drinks/week Davis et al. 2014 Iceland [78]
Light/moderate alcohol consumption ≤ 7 drinks/week, and ≤ 3 drinks/day Wilson et al. 2014 USA [5]
Low-moderate drinking levels 0–100 g alcohol/week Waern et al. 2014 Sweden [12]
Light/moderate drinkers ≤ 10 drinks/weeks, ≤ 4 drinks/day Cousins et al. 2014 Ireland [90]
Light drinkers Men: < 168 g alcohol/week; Women: < 112 g alcohol/week Chan et al. 2010 China [62]
Light consumption 1–2 drinks/day Lima et al. 2009 Brazil [22]
Low-moderate drinking Men: < 30 g/day, ≤ 140 g/week (> 0 and ≤ 14 units/week)
Women: < 15 g/day in women, ≤ 70 g/week in women (> 0 and ≤ 7 units/week
Bazal et al. 2019 Spain [75]
Light-to-moderate drinkers > 30 - ≤ 70 g/week van Oort et al. 2020 The Netherlands [134]
REGULAR DRINKERS
Regular drinkers Dinking at least 1 drink/week on at least one occasion (over a period of 4 years) Goulden et al. 2016 USA [1]
Regular drinkers Alcohol consumption ≥ 1 day/week Tevik et al. 2017 Norway [129]
Regular drinkers 1–5 days/week Kohno et al. 2019 Japan [81]
Regular drinkers < 15 drinks/week Almeida et al. 2014 Australia [55]
Non-risky alcohol intake No daily alcohol consumption Hajek et al. 2017 Germany [96]
HABITUAL DRINKERS
Habitual drinkers 6–7 days/week Kohno et al. 2019 Japan [81]
LOW RISK DRINKNIG
Low risk drinkers ≤ 30 drinks during the month prior to the interview and ≤ 3 drinks/occasion AlGhatrif et al. 2013 USA [15]
Low risk Men: ≥ 1– < 30 g/day (up to 2 drinks a day); Women: ≥ 1 –< 15 g/day (up to 1 drink a day) Dhana et al. 2020 USA [91]
Low risk Men: ≤ 4 drinks/day; Women: ≤ 2 drinks/day (Australian guidelines) Heffernan et al. 2016 Australia [99]
Low risk Men: ≤ 4 drinks/day and ≤ 14 drinks/week; Women: ≤ 3 drinks/day and ≤ 7 drinks/week (US guidelines) Heffernan et al. 2016 Australia [99]
Low alcohol intake 4 drinks/week Hassing 2018 Sweden [8]
Low risk > 2 ≤ 2 drinks/day Tait et al. 2013 Australia [128]
Low risk drinking Men: ≤ 21 units/week; Women: ≤ 14 units/week Iparraguirre et al. 2015 England [20]
Low risk drinkers Men: ≤ 280 g alcohol/week or ≤ 28 standard drinks/week
Women: ≤ 140 g alcohol/week or ≤ 14 standard drinks/week
AUDIT-C score < 4 in men and < 3 in women
Roson et al. 2010 Spain [18]
MEDITERRANEAN ALCOHOL DRINKING
Mediterranean alcohol drinking 10–30 g/day in men and 5–15 g/day in women, preferably red wine consumption with low spirits consumption Bazal et al. 2019 Spain [75]
Mediterranean drinking pattern < 40 g/day for men, < 24 g/day for women, no binge drinking, with preference for wine and drinking only with meals Ortola et al. 2017 Spain [119]
FREQUENT DRINKING
Frequent drinkers Alcohol consumption ≥ 4 days/week Tevik et al. 2019 Norway [130]
Frequent drinking Drinking 5–7 days/week Wang et al. 2017 China [137]
Frequent drinkers ≥ 15 (≥ 12 women) standard drinks in the entire week, but no more than 5 (4 women) on the same day Nuevo et al. 2015 Europe [118]
Daily drinkers Alcohol consumption on 7 days per week Ilomaki et al. 2013 Australia [57], Ilomaki et al. 2014 Australia [58]
MODERATE DRINKING
Moderate users ≥ 1 drink/month, but ≤ 7 drinks/week Immonen et al. 2011 Finland [103]
Irregular moderate drinkers < 1 drink/week Halme et al. 2010 Finland [97]
Regular moderate drinkers 1–7 drinks/week Halme et al. 2010 Finland [97]
Moderate drinkers 1–7 glasses/week Hoeck et al. 2013 Belgium [100]
Moderate drinking 1–7 units/week Machado et al. 2017 Latin America [21]
Moderate drinkers ≤ 3 drinks/day and ≤ 7 drinks/week Scott et al. 2020 USA [80]
Moderate drinkers ≤ 250 ml alcohol/day Gargiulo et al. 2013 Italy [94]
Moderate drinkers 0.5–1 standard drink per drinking episode Hongthong et al. 2016 Thailand [102]
Moderate drinkers ≥ 3 to ≤ 7 drinks per week Hoang et al. 2014 USA [60]
Moderate drinking ≤ 7 drinks/week Ivan et al. 2014 USA [63]
Moderate drinkers Men ≥ 65 years and women: ≤ 1 drink/day
Men < 65 years: ≤ 2 drinks/day
Richard et al. 2017 USA [4]
Moderate drinking 8 drinks/week Hassing 2018 Sweden [8]
Moderate drinkers 1–14 units/week, 8–112 g/week (within United Kingdom guidelines) Britton et al. 2020 United Kingdom [85]
Moderate drinkers Men: 4–14 drinks/week; Women: 4–7 drinks/week Moore et al. 2009 USA [115]
Moderate drinking 7 < alcoholic drinks ≤ 14 per week Jeong et al. 2012 Korea [105]
Moderate drinkers Men: 7–14 drinks/week Davis et al. 2014 Iceland [78]
Exceeding moderate drinking limits > 1 drink/day for women and > 2 drinks/day for men (Centers for Disease Control and Prevention guidelines) Sanford et al. 2020 USA [125]
Moderate drinkers >70 - ≤ 140 g/week van Oort et al. 2020 The Netherlands [134]
Moderate drinkers 1–2 drinks/day Towers et al. 2018 New Zealand [131]
Moderate occasionally ≤ 2 units/day Liu et al. 2019 Japan [111]
Moderate daily ≤ 2 units/day Liu et al. 2019 Japan [111]
Moderate drinking Up to 2 drinks/day Ilomaki et al. 2014 Australia [58]
Moderate drinkers Men: 1–21 beverages/week; Women: 1–14 beverages/week Heegaard et al. 2011 Denmark [16]
Moderate drinkers 15–27 drinks/week Almeida et al. 2014 Australia [55]
Moderate drinkers Men: ≤ 30 g alcohol/day; Women: ≤ 20 g alcohol/day Weyerer et al. 2009 Germany [139]
Moderate drinkers 20–39.9 g/day Kohno et al. 2019 Japan [81]
Moderate drinkers > 23–46 g/day Siddiquee et al. 2020 Japan [59]
Moderate drinkers Men: < 40 g alcohol/day; Women: < 24 g alcohol/day Ortola et al. 2017 Spain [119]
Moderate drinkers Men: < 40 g alcohol/day; Women: < 25 g alcohol/day Gonzàlez-Rubio et al. 2016 Spain [95]
Moderate consumption 3–4 drinks/day Lima et al. 2009 Brazil [22]
Moderate drinkers Men: > 168 g, but < 400 g alcohol/week; Women: > 112 g, but < 280 g alcohol/week Chan et al. 2010 China [62]
ELEVATED ALCOHOL CONSUMPTION
Elevated alcohol consumption China: > 1 drink/day or > 7 drinks/week
Norway: Drinking 4–7 days a week
Li et al. 2019 China and Norway [109]
RISK DRINKING
Risk drinkers/at risk consumption ≥ 8 units or drinks/week Machado et al. 2017 Latin America [21], Sacco et al. 2009 USA [124]
Risky alcohol intake Daily alcohol consumption Hajek et al. 2017 Germany [96]
At risk drinkers > 30 drinks during the month prior to the interview or > 3 drinks/occasion AlGhatrif et al. 2013 USA [15]
At-risk drinking Consuming > 7 drinks/week or ≥ 5 drinks on a typical drinking day or using ≥ 3 drinks several times per week Immonen et al. 2011 Finland [103], Immonen et al. 2013 Finland [104]
At risk drinkers/drinking 8–14 glasses or drinks /week Hoeck et al. 2013 Belgium [100], Ivan et al. 2014 USA [63]
At risk drinkers > 1 standard drink (> 14 g of alcohol) per day or any binge drinking in the last 30 days (≥ 80 g for men and ≥ 60 g for women of alcohol in one session) Soler-Vila et al. 2019 Spain [127]
At risk drinking ≥ 100 g alcohol/week in men and women
Alternative cut-off for at-risk drinking in women: ≥ 60 g alcohol/week
Waern et al. 2014 Sweden [12]
At risk alcohol consumption ≥ 100 g alcohol/week Ahlner et al. 2018 Sweden [71]
Risky drinking Men: ≥ 10 drinks/week; Women: ≥ 7 drinks/week; or ≥ 5 drinks at one sitting ≥ 1 time/year for both men and women McClure et al. 2013 USA [2]
At risk drinking Definition 1: >10 units of alcohol per week
Definition 2: >14 units of alcohol per week
Foster et al. 2019 England [93]
High risk Men: ≥ 30 g/day; Women: ≥ 15 g/day Dhana et al. 2020 USA [91]
Risky Men: > 4 drinks/day; Women: > 2 drinks/day (Australian guidelines) Heffernan et al. 2016 Australia [99]
Increased risk Men: > 4 drinks/day or > 14 drinks/week; Women: > 3 drinks/day or > 7 drinks/week (US guidelines) Heffernan et al. 2016 Australia [99]
Risky alcohol consumption assessed with use of SIAC Men: > 280 g alcohol/week or > 28 standard drinks/week; Women: > 140 g alcohol/week or > 14 standard drinks/week Roson et al. 2010 Spain [18]
Increased risk drinking Men: 22 ≤ 50 units/week; Women: 15 ≤ 35 units/week Iparraguirre 2015 England [20]
At-risk drinkers Men: > 30 g alcohol/day; Women: > 20 g alcohol/day Weyerer et al. 2009 Germany [139]
Long term risk > 2 ≤ 4 drinks/day Tait et al. 2013 Australia [128]
Short term risk > 4 drinks/day Tait et al. 2013 Australia [128]
Unsafe drinkers Men: > 21 units/week; Women: > 14 units/week Rao et al. 2015 United Kingdom [122]
Highest risk Men: both > 4 drinks/day and > 14 drinks/week; Women: both > 3 drinks/day and > 7 drinks/week (US guidelines) Heffernan et al. 2016 Australia [99]
Higher risk drinking Men: > 50 alcohol units/week; Women: > 35 units/week Iparraguirre et al. 2015 England [20]
UNSAFE DRINKING
Unsafe drinking ≥ 14 standard drinks/week, ≥ 140 g/week Kim et al. 2020 Korea [66]
HEAVY DRINKING
Heavy drinkers > 30 drinks/month Agahi et al. 2016 Sweden [6], Shaw et al. 2011 USA [126]
Heavy drinkers ≥ 8 drinks/week Hoang et al. 2014 USA [60]
Heavy drinking ≥ 8 drinks (≥ 96 g alcohol) in a week or ≥ 4 drinks (≥ 48 g alcohol) at least in one day last 28 days Aalto et al. 2011 Finland [50]
Heavy drinkers 8–14 drinks/week Halme et al. 2010 Finland [97]
Heavy occasionally > 2 units/day Liu et al. 2019 Japan [111]
Heavy daily > 2 units/day Liu et al. 2019 Japan [111]
Heavy drinkers >140 g/week van Oort et al. 2020 The Netherlands [134]
Heavy drinking Men: ≥ 30 g/day, > 140 g/week (> 14 units/week); Women: ≥ 15 g/day, > 70 g/week (>7 units/week) Bazal et al. 2019 Spain [75]
Heavy drinkers > 10 drinks/week, > 4 drinks/day Cousins et al. 2014 Ireland [90]
Heavy drinkers Men: > 14 drinks/week; Women: > 7 drinks/week; and > 7 drinks/week for women and men Moore et al. 2009 USA [115]
Heavy drinkers Men: > 14 drinks/week; Women: > 7 drinks/week Davis et al. 2014 Iceland [78]
Heavy drinking > 14 drinks/week Ivan et al. 2014 USA [63], Jeong et al. 2012 Korea [105]
Heavy drinkers > 2 drinks/day Ilomaki et al. 2013 Australia [57]
Heavy drinkers ≥ 15 units/week (above United Kingdom guidelines) Britton et al. 2020 United Kingdom [85]
Heavy drinkers Men ≥ 65 years and women: > 1–3 drinks/day Richard et al. 2017 USA [4]
Heavy drinkers ≥ 15 standard drink units (≥ 12 women) during the week, and ≥ 5 (≥ 4 women) on at least one day Nuevo et al. 2015 Europe [118]
Heavy drinkers ≥ 15 drinks/week Halme et al. 2010 Finland [97]
Heavy drinkers 15–21 glasses/week Hoeck et al. 2013 Belgium [100]
Heavy drinkers Men: > 17 standard drinks/week; Women: > 11 standard drinks/week; Men/women: ≥ 6 standard drinks per drinking occasion Holton et al. 2019 Ireland [101]
Heavy drinkers Men: > 21 beverages or units/week; Women: > 14 beverages or units/week Heegard et al. 2011 Denmark [16], Nadkarni et al. 2011 Dominican Republic [116]
Heavy drinkers Men: ≥ 40 g alcohol/day; Women: ≥ 24 g alcohol/day Ortola et al. 2017 Spain [119]
Heavy drinkers ≥ 40 g/day Kohno et al. 2019 Japan [81]
Heavy drinkers > 46 g/day Siddiquee et al. 2020 Japan [59]
Heavy drinkers Men: > 400 g alcohol/week; Women: > 280 g alcohol/week Chan et al. 2010 China [62]
Heavy drinkers ≥ 3 drinks/day Towers et al. 2018 New Zealand [131]
Heavy drinking 3–4 drinks/day Ilomaki et al. 2014 Australia [58]
Heavy consumption ≥ 5 drinks/day Lima et al. 2009 Brazil [22]
PROBLEMATIC/HARMFUL DRINKING
Problematic alcohol use > 1 standard drink/day or > 7 standard drinks/week and > 3 drinks on one occasion Aguila et al. 2016 Mexico [82]
Problematic drinkers > 21 glasses/week Hoeck et al. 2013 Belgium [100]
Harmful drinking Men: > 60 g alcohol/day; Women: > 40 g alcohol/day Weyerer et al. 2011 Germany [138]
EXCESSIVE DRINKING
Excessive alcohol consumption > 1 unit/day at a sitting or > 7 units/week Lasebikan et al. 2015 Nigeria [107]
Excessive drinkers > 3 drinks/day for men ≥ 65 years and women, > 4 drinks/day for men < 65 years Richard et al. 2017 USA [4]
Excessive drinking > 4 drinks/day Ilomaki et al. 2014 Australia [58]
Excessive drinking ≥ 6 alcoholic drinks per occasion last 3 months Listabarth et al. 2020 12 European countries [110]
Regular excessive alcohol consumption > 6 drinks/day Almeida et al. 2017 Australia [56]
Extremely high consumption Men: > 120 g alcohol/day; Women: > 80 g alcohol/day Weyerer et al. 2011 Germany [138]
BINGE DRINKING/HEAVY EPISODIC DRINKING
Binge drinking Men: ≥ 4 drinks per drinking day; Women: ≥ 3 drinks per drinking day Choi et al. 2011 USA [140]
Binge drinking > 4 drinks on one occasion Hoang et al. 2014 USA [60], Villalonga-Olives et al. 2020 USA [135]
Binge drinking ≥ 5 drinks for men, ≥ 4 drinks for women on at least one occasion (at the same time or within a couple of hours apart) in the past 30 days Parikh et al. 2015 USA [121]
Binge drinking Men: ≥ 5 drinks on the same occasion; Women: ≥ 4 drinks on the same occasion. Han et al. 2019 USA [98]
Past year binge drinking Men: ≥ 5 drinks in one day/sitting; Women: ≥ 4 drinks in one day/sitting Bryant et al. 2013 USA [86], Bryant et al. 2013 USA [87]
Binge drinking ≥ 5 drinks at least once per month Ilomaki et al. 2013 Australia [57], Ilomaki et al. 2014 Australia [58]
Binge drinking ≥ 5 drinks on the same occasion in at least one day in the past 30 days Marti et al. 2015 USA [112]
Binge drinking ≥ 5 drinks on any occasion within the past 30 days Davis et al. 2014 Iceland [78]
Binge drinking ≥ 5 drinks during at least one day over the past year in women and men Sanford et al. 2020 USA [125]
Binge drinking ≥ 5 drinks in at least one day in the past 12 months Wilson et al. 2014 USA [5]
Binge drinking ≥ 6 standard drinks on one occasion at least monthly Fuentes et al. 2017 Europe [7], Jeong et al. 2012 Korea [105]
Binge drinking > 6 standard drinks per drinking day past year Kim et al. 2020 Korea [66]
Binge drinking ≥ 80 g in men, ≥ 60 g in women, during any drinking session in the preceding 30 days Ortola et al. 2017 Spain [119]
Heavy episodic drinking ≥ 4 drinks in a single day in a typical month last year Merrick et al. 2011 USA [114]
Heavy episodic drinking ≥ 4 drinks in any single day Ryan et al. 2013 USA [123]
Heavy occasional drinkers ≥ 5 (≥ 4 in women) standard drinks in one day but no more than 15 (12 in women) standard drinks in the entire week Nuevo et al. 2015 Europe [118]
Heavy episodic use ≥ 5 drinks on one occasion in the past year Sacco et al. 2009 USA [124]
Heavy episodic drinking ≥ 5 (5–7 or ≥ 8) on ≥ one occasions in the prior year Satre et al. 2011 USA [64]
SCREENING TOOLS
AUDIT-C: hazardous drinking AUDIT-C score ≥ 4 in men and ≥ 3 in women Bell et al. 2015 England [84] Towers et al. 2019 New Zealand [132]
AUDIT-C: elevated alcohol consumption AUDIT-C score ≥ 4 in men and ≥ 3 in women Johannessen et al. 2017 Norway [19]
AUDIT-C: increased risk of hazardous drinking/alcohol abuse or dependence AUDIT-C score ≥ 4 in men and ≥ 3 in women Roson et al. 2010 Spain [18]
AUDIT-C: heavy drinking AUDIT cutoff ≥ 4 (sensitivity 94% and specificity 80%) Aalto et al. 2011 Finland [50]
AUDIT-C: high risk alcohol consumption AUDIT-C score ≥ 4 Jentsch et al. 2017 Germany [61]
AUDIT-C: hazardous drinking AUDIT-C score ≥ 5 Britton et al. 2020 United Kingdom [85]
AUDIT-C: Low-risk drinking: Men: AUDIT-C score 1–3; Women: AUDIT-C score 1–2
Moderate-risk drinking: Men: AUDIT-C score 4–7; Women: AUDIT-C score 3–7
High-risk drinking: Men/women: AUDIT-C score 8–12
Chavez et al. 2016 USA [73]
AUDIT: heavy drinking AUDIT cutoff ≥ 5 (sensitivity 86% and specificity 87%) Aalto et al. 2011 Finland [50]
AUDIT Low risk use: AUDIT score 0–7
Risk use: AUDIT score 8–14
Villar Luis et al. 2018 Brazil [136]
AUDIT: hazardous and harmful drinking AUDIT-score ≥ 8 in men and ≥ 6 in women Roson et al. 2010 Spain [18]
AUDIT: at-risk drinking AUDIT score ≥ 8 Jeong et al. 2012 Korea [105]
AUDIT: problem drinkers AUDIT score ≥ 12 Kim et al. 2015 Korea [106]
AUDIT Low risk: AUDIT score 0–7
Risky alcohol use: AUDIT score 8–12
High risk alcohol use: AUDIT score ≥ 13
High consumption risk: AUDIT score ≥ 6 for question 1–3 may indicate risk of alcohol-related harm
High dependence risk: AUDIT score ≥ 4 for question 4–6, possibility of alcohol dependence
High alcohol-related problems risk: any score > 0 for question 7–10
Vafeas et al. 2017 Australia [133]
CAGE: problem drinking CAGE score ≥ 2 Cousins et al. 2014 Ireland [90]
CAGE: alcohol problem CAGE score ≥ 2 or CAGE 65+ score ≥ 1 Hoeck et al. 2013 Belgium [100]
CAGE: problem drinkers CAGE score ≥ 2 Ilomaki et al. 2013 Australia [57], Ilomaki et al. 2014 Australia [58]
CARET: at risk drinking Categorized as 1) Alcohol use behaviors in the last 12 months, 2) Alcohol use and medications taken at least 3–4 times per week currently, 3) Alcohol use and comorbidities in the past 12 months Barnes et al. 2010 USA [83]
CARET: hazardous drinking 27-item. Evaluates hazardous drinking regarding to level of alcohol use (frequency, quantity, and binge) and whether such drinking occurs in the presence of critical factors known to increase the risk of alcohol-related harm for older adults (i.e., comorbidities, use of alcohol-interactive medication [e.g., analgesics], and alcohol risk behaviors [e.g., driving after drinking alcohol]). Towers et al. 2019 New Zealand [132]
MAST-G: alcohol related problems MAST-G score ≥ 5 Villar Luis et al. 2018 Brazil [136]
SMAST: possible lifetime alcohol problems SMAST score ≥ 3 Satre et al. 2011 USA [64]
ALCOHOL ABUSE, DEPENDENCE OR MISUSE
Current alcohol abuse ≥ 1 of 4 criteria last 12 months obtained via the Mini International neuropsychiatric Interview Guidolin et al. 2016 Brazil [72]
Current alcohol dependence ≥ 3 of 7 criteria last 12 months obtained via the Mini International neuropsychiatric Interview Guidolin et al. 2016 Brazil [72]
Abuse ≥ 35 drinks/week Almeida et al. 2014 Australia [55]
Lifetime alcohol misuse Score ≥ 1 from the five-item Self-Reporting Questionnaire Nogueira et al. 2013 Brazil [117]
Major lifetime alcohol misuse Score ≥ 2 from the five-item Self-Reporting Questionnaire Nogueira et al. 2013 Brazil [117]
DSM-IV
DSM-IV: Alcohol abuse or alcohol dependence Jeong et al. 2012 Korea [105]
DSM-IV: Abuse Current, 12-month, and lifetime Muñoz et al. 2018 Europe [9]
DSM-IV: Dependence Current, 12-month, and lifetime Muñoz et al. 2018 Europe [9]
DSM-IV: Alcohol use disorder Current, 12 month, and lifetime Muñoz et al. 2018 Europe [9]
DSM-IV: Past year alcohol abuse or dependence Sacco et al. 2009 USA [124]
ACCORDING TO GUIDELINES
Within-guidelines drinkers ≤ 30 drinks/month, or ≤ 3 drinks on a single day Merrick et al. 2011 USA [114]
Within guidelines drinkers Not exceeding the monthly limit (≤ 30 drinks per typical month) or the single day limit (< 4 drinks in any single day) Ryan et al. 2013 USA [123]
Exceeding monthly limits > 30 drinks per typical month Ryan et al. 2013 USA [123]
Exceeding the monthly limit, but not single day limit > 30 drinks/months, ≤ 3 drinks on a single day Merrick et al. 2011 USA [114]
Exceeded guidelines: At risk drinkers Exceeded the monthly limit (> 30 drinks per typical month), but not the single-day limit (< 4 drinks in any single day), and heavy episodic drinkers who exceeded the single-day drinking limit (≥ 4 drinks) with or without exceeding the monthly limit. Ryan et al. 2013 USA [123]
Drinking in excess of NIAAA guidelines > 1 drink/day for women of any age and men ≥ 65 years; > 2 drinks/day for men < 65 years McEvoy et al. 2013 USA [3]
Alcohol in excess of NIAAA limits > 7 drinks/week, > 3 drinks/day Wilson et al. 2014 USA [5]
FREQUENCY
Frequency of alcohol consumption Non-drinkers; Infrequent drinkers: < 2 times/month; Weekly: 1–4 times/week; Near daily drinkers: 5–7 times/week Richard et al. 2017 USA [4]
Frequency of alcohol consumption Never; ≤ 1 time a month; 2–4 times a month; 2–3 times a week; 4–5 times a week; daily/almost daily Wilson et al. 2014 USA [5]
Frequency of alcohol consumption Monthly or less; Every week: 1–4 times/week; Daily or almost daily: 5–7 times/week Agahi et al. 2019 Sweden [74]
Weekly drinking frequency ≥ 2 days/week, ≥ 3 drinks/week Aguila et al. 2016 Mexico [82]
Number of drinking days/week 0 days (non-drinkers), 1–7 days Choi et al. 2011 USA [140]
QUANTITY
g alcohol/day Volume consumed in men: ≤ 12, 13–24, 25–47, ≥ 48 g/day
Volume consumed in women: ≤ 12, 13–24, > 24 g/day
Buja et al. 2010 Italy [77], Buja et al. 2011 Italy [76]
Daily alcohol consumption 20 g/day; 21–59 g/day; ≥ 60 g/day Tateishi et al. 2019 Japan [69]
g alcohol/week 0, 1–20, 20–40, 40–60, 100–150, 150–250, 250–500 or > 500 g alcohol/week Ahlner et al. 2018 Sweden [71]
Alcohol units per week None in the past week, 1–14 units, 14–21 unit, > 21 units Britton et al. 2020 United Kingdom [85]
Alcohol units last week Categorization 1:
None (last 12 months); < 1 unit; 1–7 units; > 7–10 units; > 10–14 units; > 14–21 units; > 21–28 units; > 28–35 units; > 35–50 units; > 50 units
Categorization 2:
None or < 1 unit last 12 months; 1–10 units; > 10–21 units; > 21–28 units; > 28–50 units; > 50 units
Foster et al. 2019 England [93]
Drinks/day ≤ 1, 2, 3, 4, ≥ 5 drinks/day Wilson et al. 2014 USA [5]
Drinks/day ≤ 2 drinks/day, 2–4 drinks/day, 4–6 drinks/day, > 6 drinks/day Almeida et al. 2017 Australia [56]
Drinks/month Mean monthly drinks Bryant et al. 2019 USA [88]
Number of drinks on drinking days Men: 0–4 drinks/day; Women: 0–3 drinks/day Choi et al. 2011 USA [140]
Lifetime cumulative dose of alcohol Quartiles of lifetime total units of alcoholic beverages D’Ovidio et al. 2019 Ireland, the Netherlands, and Italy [65]
ALCOHOL CONSUMPTION BY YEAR
Duration of drinking Never; 0–19 year; 20–39 year; ≥ 40 years Zaitsu et al. 2020 Japan [70]
Cumulative drinking amount Categorization according to g/day-years: Never; < 1000; 1000–2250; 2250–4000; ≥ 4000 Suo et al. 2019 China [68]
Drink-year levels Classification 1: 0 (lifetime abstainer = never consumed alcohol); > 0–20 drink-years; > 20–40 drink-years; > 40–60 drink-years; > 60–90 drink-years; > 90 drink-years Classification 2: 0 drinks per day (lifetime abstainer); ≤ 2 drinks/day and < 20 years; ≤ 2 drinks/day and 20–39 years; ≤ 2 drinks/day and ≥ 40 years; > 2 drinks/day and < 20 years; > 2 drinks/day and 20–39 years; > 2 drinks/day and ≥ 40 year Zaitsu et al. 2020 Japan [70]

g = grams.

AUDIT = Alcohol Use Disorders Identification Test; AUDIT-C = Alcohol Use Disorders Identification Test, short form; CAGE = Cut down, Annoyed, Guilty, Eye opener; CARET = Comorbidity Alcohol Risk Evaluation; DSM-IV = Diagnostic and Statistical Manual of Mental Disorders, 4th Edition; ICD-10 = International Classification of Diseases 10th Revision; MAST-G = Michigan Alcoholism Screening Test-Geriatric Version; NIAAA = National Institute on Alcohol Abuse and Alcoholism; SIAC = Systematic Inventory Alcohol questionnaire; SMAST = Short Michigan Alcohol Screening Test.

Discussion

This systematic review has reviewed different ways of asking about alcohol consumption in older adults to define and measure alcohol consumption and drinking patterns in epidemiological studies. No consensus was found regarding methods used to assess, define, and measure alcohol consumption in older adults. Among the 105 studies included, we detected 19 different drinking patterns, and each drinking pattern had a wide range of definitions. The drinking patterns abstaining from alcohol, current drinking, and risk drinking had seven, 12, and 21 diverse definitions, respectively. The most used questionnaire and screening tools were the QF questionnaire, with a recall period of 12 months, and the AUDIT/AUDIT-C, respectively. The volume of alcohol intake was more frequently presented in standard drinks than in grams, and the definition of one standard drink varied from 8 grams of alcohol to 50 grams of alcohol.

Definition of drinking patterns

Abstainers and drinkers

In alcohol surveys, it is important to ask about drinking frequency to identify those who are abstainers and drinkers [43]. This review detected seven and 12 different definitions of abstainers and current drinkers, respectively. The wide variation in definitions will have a significant impact on how these drinking patterns are classified [45]. When the definitions are not identical, we are not able to make a valid comparison between studies of the prevalence of abstainers and current drinkers in older adults.

Twenty-three of the included studies separated abstainers from former drinkers when defining abstainers. It is recommended that individuals in alcohol studies be divided into lifetime abstainers, former drinkers, and current drinkers [24, 43]. This is especially important in studies investigating the health consequences of alcohol consumption. If former drinkers are included in the abstaining category, the health benefits of light-to-moderate drinking may be exaggerated [45]. Former drinkers might have quit drinking due to health problems [45, 141], and if they are included in the abstainer category, it may not be the absence of alcohol that elevates their risk for negative health consequences, but rather their poor health [141]. The definitions provided by the WHO [24] for lifetime abstainers (never having consumed alcohol in their life), former drinkers (not having consumed alcohol in the last 12 months, but having consumed alcohol earlier), and current drinkers (consuming alcohol once a year or more) could be used in alcohol surveys conducted in samples of older adults.

Risk drinkers

This review detected 21 different definitions of risk drinking among older adults. However, a commonly used definition was drinking above seven drinks a week, which is in line with the US alcohol guidelines for older adults developed by the NIAAA [36]. Even so, to our knowledge, this definition has not been validated in a sample of older adults.

The WHO has suggested an international threshold value for high-risk drinking as greater than 60 grams of alcohol (equivalent to 4.3 standard drinks in the USA) on any given day for men and greater than 40 grams of alcohol (equivalent to 2.9 standard drinks in the USA) for women [24]. These values are estimated for the general population, and not for the older population, who might experience negative health consequences at lower alcohol consumption than younger adults due to alcohol-related physiological changes [31].

An international threshold value for risk drinking has not been set for the older population, but it is highly warranted. A risk-drinking definition for older adults should be developed and validated in epidemiologic observation studies among older adults. In addition, whether a risk definition for older adults should include questions about both health condition and use of medications should be considered. Several authors have recommended that a risk definition for older adults should account for both current health status and use of medication [23, 37, 142].

Heavy episodic drinking

Of the 21 studies including a definition of heavy episodic drinking/binge drinking in their assessment of alcohol consumption, the most used definition was consuming five or more drinks of alcohol on any occasion within the past 30 days. It is highly recommended to assess heavy episodic drinking [24], but there is little agreement on how heavy episodic drinking should be defined for older adults. For example, “is drinking on any occasion” the best wording? Others have pointed out that “occasion” is difficult to understand, and the definition could rather use drinks within “one day” to increase precision and comprehensibility [25, 43]. Furthermore, it is important to develop a standardized definition including the number of drinks needed to define heavy episodic drinking for older adults, especially because tolerance is reduced in older adults [2931].

Assessment of alcohol consumption

Questionnaires

Most (N = 34) of the studies used the QF questionnaire to assess alcohol consumption. This questionnaire is commonly used in assessment of alcohol consumption [44, 143], but has been criticized for underestimating alcohol consumption compared with the GQF questionnaire [46, 143, 144]. Assessing alcohol consumption only with the use of the QF questionnaire, could lead to heavy episodic drinkers not being identified [46, 145]. A previous study by Rehm et al. [46] has also shown that the GQF questionnaire was superior to QF questionnaire and weekly diary in capturing risky and harmful drinking volumes. Thus, the WHO recommends that with the use of the QF questionnaire, a question about heavy episodic drinking should be included when estimating the volume of alcohol consumption and the proportion of risk drinking. As already mentioned in the introduction, this questionnaire is called the expanded QF questionnaire [24]. Only two studies in this review followed the WHO’s recommendation when using the QF questionnaire [57, 58]; thus, there is room for improvement in studies using the QF questionnaire to assess alcohol consumption in older adults.

In the present study, we found that few studies used the GQF (N = 1) and BSQF (N = 6) questionnaires. With the GQF questionnaire, the proportion of older adults engaging in risk consumption can be estimated without any additional questions [24], and the GQF is recommended by the WHO and other expert groups for use in the general population [24, 40]. As the GQF (six questions) and the BSQF (18 questions) questionnaires include more questions than the expanded QF (three questions) questionnaire, it will be more time consuming for older adults to respond to all questions in the GQF and the BSQF questionnaires. In addition, older adults might find it difficult to answer the questions included in the GQF and BSQF, such as frequencies of consuming various quantities of drinks and drinking particular types of beverages. Thus, the response rate might be lower with the use of the GQF and BSQF questionnaires than with the expanded QF questionnaire. The results will be systematically biased if older adults do not respond to difficult questions regarding alcohol intake, or if they answer them in a systematically biased way [146]. A review has examined how aging affects self-report questionnaires in general [146], and the authors found that the completeness of self-report questionnaires among older adults decreased with increasing difficulty of questions. To ensure higher response rate and accuracy in alcohol surveys in older adults, the best approach might be to use the expanded QF questionnaire.

Moreover, underestimation of alcohol consumption, especially among heavy drinkers, is well known [147] and will influence the validity of the results. In addition, older adults who do not drink alcohol at all or who do so at very low levels, might not answer the questions about alcohol consumption, as they might consider the questions to be irrelevant. Older adults might not answer alcohol questions due to stigma associated with drinking [148, 149], and answers to alcohol questions by older adults are prone to recall bias due to cognitive impairment and memory errors [150152]. Thus, the validity of the results might increase with a face-to-face interview when using the QF, GQF, or BSQF questionnaire, where the interviewer can help the participants to complete the questions and to recall the number of alcohol drinks consumed. The use of pictures of standard drinks might be valuable in this context [24, 26]. A face-to-face interview is also recommended in the general population [43]. However, in large population-based studies, face-to-face interviews might not be feasible as they are more time consuming and costly than self-administered questionnaires [153].

Screening tools

In total, eight different screening tools were used to assess alcohol consumption, the most common of which were the AUDIT and AUDIT-C. A cutoff value of eight or more was used by several studies included in this review [105, 133, 136]. A meta-analysis [154] has also shown that there is strong evidence for the diagnostic accuracy of the AUDIT with a cutoff value of eight or more in elderly patients [154]. However, the WHO [49] recommends a cutoff value of seven or more for women and men 65 years or older which will increase the sensitivity for this population [49]. The short version of the AUDIT (AUDIT-C) might have an optimal cutoff value of four or more, as one of the included studies showed high sensitivity and specificity with the use of this cutoff value when screening for heavy drinking [50].

In alcohol surveys including older adults, the AUDIT or AUDIT-C work well and are recommended [49, 50]. However, the screening tool CARET (Comorbidity Alcohol Risk Evaluation), which includes both health condition and use of medication when assessing alcohol risk, could also be relevant to use in an elderly sample [83, 132].

Guidelines

Several of the included studies (N = 11) used alcohol guidelines to assess and define the drinking pattern of older adults. However, alcohol guidelines are not internationally standardized [35]. Some of the studies used guidelines for the general population [20], whereas other used guidelines for older adults [126]. Because a drink of alcohol is not standardized, it might also be difficult to standardize alcohol guidelines for older adults.

Recall period

Several studies (N = 34) included in this review used a recall period of the last 12 months, which is in line with the WHO’s recommendation [24]. It is suggested that a recall period of the last 12 months will give the most valid assessment of alcohol consumption [24, 26, 43]. However, 28 studies used a recall period of the last month or last week. A shorter recall period minimizes problems of memory loss [45], which is important when studying alcohol consumption in older adults. Older adults might find it difficult to recall their alcohol consumption in the last 12 months [43], and a shorter recall period could yield a more reliable assessment of alcohol consumption [24]. However, a recall period of the last week or last month might not represent older adults’ typical drinking pattern in the last year, as older adults might be irregular drinkers and might not have been drinking during the last month [43]. Consequently, older adults with an infrequent drinking pattern might be misclassified as abstainers with the use of a short recall period [44, 45]. Infrequent heavy episodic drinkers could also be wrongly classified with the use of a short recall period [24]. Moreover, in studies assessing alcohol-related problems, it is particularly important to use a long recall period, as alcohol-related problems only can be measured with sufficient precision over a period of at least one year [25, 45]. Thus, a recall period of the last 12 months seems desirable in studies assessing alcohol consumption in older adults.

However, an unexpected high number of the included studies (N = 35) did not report the recall period at all. Missing information regarding the recall period will complicate the interpretation of the importance of alcohol consumption for health and well-being in older adults.

Measure of alcohol consumption

Most of the studies (N = 67) reported the total volume of alcohol consumption in standard drinks, units, or glasses, whereas 27 studies reported the volume of alcohol consumption in grams. Presenting the volume in grams might be difficult for the reader to interpret, whereas presenting the results in drinks could be problematic, as drinkers frequently do not consume standard drinks. In addition, many are not familiar with the concept of standard drinks, which makes it difficult to estimate the number of consumed drinks [24, 25, 27]. Participants are likely to report drink sizes they actually consume which differ from the size of standard drinks [26]. Thus, as already mentioned, pictures of a standard drink of beer, wine, or liquor could be helpful for older adults when estimating how much they have been drinking [24, 26]. This method was used by Nuevo and colleagues [118], who examined older adults’ drinking patterns in 14 European countries. The interviewers showed the participants a card with pictures representing one drink of alcohol according to the standard for each country [118].

In this systematic review, the definition of one standard drink varied from 8 grams of alcohol to 50 grams of alcohol. Thus, using the term drinks in alcohol surveys will complicate international comparisons [24]. The question has been raised of whether an international universal standard of drinks should be established [24]. In the meantime, the WHO suggests that alcohol consumption should be reported in grams of alcohol for the sake of international comparison [24].

Strengths and limitations

The strengths of our review include the use of five widely recognized bibliographic databases: MEDLINE, PubMed, CINAHL, PsycINFO, and EMBASE.

One limitation of this review is the exclusion of studies published in a language other than English and older studies published before 2009. Thus, there could be studies written in other languages and older studies that used other definitions that are not reported in this review. Even so, this review detected a wide range of definitions of different drinking patterns.

In alcohol surveys, it is recommended to ask about the drinking context, which focuses on drinking with meals or not, drinking alone or not (e.g., with family members, friends, work colleagues, etc.), drinking on a weekday or on a weekend, and drinking in public (bars and restaurants) or at home [24, 25, 43]. The drinking context seems to be an important factor explaining alcohol consumption and the risk of alcohol consumption [43]. However, in this systematic review, we did not assess drinking context in the included studies. It is desirable that coming studies ask about drinking context when assessing alcohol consumption in older adults [24, 43].

Implications

We want to acknowledge the previous expert groups and alcohol epidemiologists for their effort to standardize the alcohol methodology in adult general population surveys [24, 25, 40, 43, 44]. However, it seems thus far that they have failed to fully achieve a standardization, and especially for the subgroup of the aged population. Different aims, traditions, and simple research group preferences may have resulted in the variety of measures and definitions found in this systematic review. Future research should work toward establishing a standardized assessment and definition of drinking patterns in older adults, especially risk drinking and heavy episodic drinking. Methodological studies are needed to study the reliability and validity of different assessment instrument and definitions [46]. Standardized assessments and definitions will contribute to improving the comparison of findings between studies and countries and to drawing firm conclusions about the prevalence and health effect of different drinking patterns. Use of a standardized and concise methodology in alcohol surveys of older adults could also lead to more informed and evidence-based policymaking to reduce alcohol’s burden on health and economy [43].

Conclusions

Several previous expert groups and alcohol epidemiologists have had an aim of standardizing the alcohol methodology in adult general population surveys. However, so far it seems that they have failed to fully achieve a standardization, and especially in the subgroup of the aged population. This systematic review shows that the included studies (N = 105) varied widely in the questionnaire applied, definitions, and measures to define drinking patterns in older adults. Different aims, traditions, and simple research group preferences may have resulted in the variety of measures and definitions found in this systematic review. Identical assessments and definitions need to be developed and used to make valid comparisons of alcohol consumption in older adults. In total, we detected 19 different drinking patterns, and each drinking pattern had a wide range of definitions. We recommend that alcohol surveys in older adults define the following drinking patterns: lifetime abstainers, former drinkers, current drinkers, risk drinking, and heavy episodic drinking. The definitions used by the WHO for lifetime abstainers, former drinkers, and current drinkers are recommended to be used for older adults. Standardized and valid definitions of risk drinking and heavy episodic drinking should be developed. The expanded QF questionnaire including three questions with a focus on drinking frequency, drinking volume, and heavy episodic drinking, with a recall period of 12 months, could be used.

Supporting information

S1 Checklist. PRISMA 2009 checklist.

(DOC)

S1 Table. Self-report measures used in epidemiological studies to assess alcohol consumption among older adults.

(DOCX)

Acknowledgments

We would like to acknowledge Vigdis Knutsen, the librarian at the Norwegian National Advisory Unit on Ageing and Health, who developed and executed the search strategy.

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

The authors received no specific funding for this work.

References

  • 1.Goulden R. Moderate Alcohol Consumption Is Not Associated with Reduced All-cause Mortality. The American journal of medicine. 2016;129(2):180-6.e4. Epub 2015/11/03. doi: 10.1016/j.amjmed.2015.10.013 . [DOI] [PubMed] [Google Scholar]
  • 2.McClure LA, Fernandez CA, Clarke TC, Leblanc WG, Arheart KL, Fleming LE, et al. Risky drinking in the older population: a comparison of Florida to the rest of the US. Addictive behaviors. 2013;38(4):1894–7. Epub 2013/02/06. doi: 10.1016/j.addbeh.2012.12.020 . [DOI] [PubMed] [Google Scholar]
  • 3.McEvoy LK, Kritz-Silverstein D, Barrett-Connor E, Bergstrom J, Laughlin GA. Changes in alcohol intake and their relationship with health status over a 24-year follow-up period in community-dwelling older adults. Journal of the American Geriatrics Society. 2013;61(8):1303–8. Epub 2013/07/20. doi: 10.1111/jgs.12366 ; PubMed Central PMCID: PMC3819601. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Richard EL, Kritz-Silverstein D, Laughlin GA, Fungb TT, Barrett-Connor E, McEvoy LK, et al. Alcohol Intake and Cognitively Healthy Longevity in Community-Dwelling Adults: The Rancho Bernardo Study. Journal of Alzheimer’s Disease. 2017;59(3):803–14. doi: 10.3233/JAD-161153 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Wilson SR, Knowles SB, Huang Q, Fink A. The prevalence of harmful and hazardous alcohol consumption in older U.S. adults: data from the 2005–2008 National Health and Nutrition Examination Survey (NHANES). Journal of general internal medicine. 2014;29(2):312–9. Epub 2013/10/09. doi: 10.1007/s11606-013-2577-z ; PubMed Central PMCID: PMC3912311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Agahi N, Kelfve S, Lennartsson C, Kareholt I. Alcohol consumption in very old age and its association with survival: A matter of health and physical function. Drug and alcohol dependence. 2016;159:240–5. Epub 2016/01/18. doi: 10.1016/j.drugalcdep.2015.12.022 . [DOI] [PubMed] [Google Scholar]
  • 7.Fuentes S, Bilal U, Galan I, Villalbi JR, Espelt A, Bosque-Prous M, et al. Binge drinking and well-being in European older adults: do gender and region matter? European journal of public health. 2017;27(4):692–9. Epub 2017/04/22. doi: 10.1093/eurpub/ckw246 ; PubMed Central PMCID: PMC5881769. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Hassing LB. Light Alcohol Consumption Does Not Protect Cognitive Function: A Longitudinal Prospective Study. Front Aging Neurosci. 2018;10:81. Epub 2018/04/11. doi: 10.3389/fnagi.2018.00081 ; PubMed Central PMCID: PMC5879951. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Muñoz M, Ausín B, Santos-Olmo AB, Härter M, Volkert J, Schulz H, et al. Alcohol use, abuse and dependence in an older European population: Results from the MentDis_ICF65+ study. PloS one. 2018;13(4):e0196574. Epub 2018/05/01. doi: 10.1371/journal.pone.0196574 ; PubMed Central PMCID: PMC5927409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Bratberg GH, WilsnacK SC, Wilsnack R, Haugland SH, Krokstad S, Sund ER, et al. Gender differences and gender convergence in alcohol use over the past three decades (1984–2008), The HUNT Study, Norway. BMC public health. 2016;16(1):1–12. doi: 10.1186/s12889-016-3384-3 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Breslow RA, Castle IJP, Chen CM, Graubard BI. Trends in Alcohol Consumption Among Older Americans: National Health Interview Surveys, 1997 to 2014. Alcoholism: Clinical & Experimental Research. 2017;41(5):976–86. doi: 10.1111/acer.13365 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Waern M, Marlow T, Morin J, Ostling S, Skoog I. Secular changes in at-risk drinking in Sweden: birth cohort comparisons in 75-year-old men and women 1976–2006. Age and ageing. 2014;43(2):228–34. Epub 2013/09/27. doi: 10.1093/ageing/aft136 ; PubMed Central PMCID: PMC3927771. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.National Institute of Public Health. [Alkohol i Norge]. 2018. Alcohol in Norway. Only in Norwegian. Available from: https://www.fhi.no/nettpub/alkoholinorge/.
  • 14.Australian Institute of Health and Welfare. 2010 National Drug Strategy Household Survey Report. 2011. Available from: https://www.aihw.gov.au/reports/illicit-use-of-drugs/2010-ndshs/contents/table-of-contents.
  • 15.AlGhatrif M, Markides KS, Kuo Y-f, Ray LA, Moore AA. The effect of prevalent cardiovascular conditions on the association between alcohol consumption and mortality among older Mexican American men. Ethnicity & disease. 2013;23(2):168–74. . [PMC free article] [PubMed] [Google Scholar]
  • 16.Heegaard K, Avlund K, Holm-Pedersen P, Hvidtfeldt UA, Bardow A, Granbak M. Amount and type of alcohol consumption and missing teeth among community-dwelling older adults: Findings from the Copenhagen Oral Health Senior study. Journal of public health dentistry. 2011;71(4):318–26. 10.1111/j.1752-7325.2011.00276.x . [DOI] [PubMed] [Google Scholar]
  • 17.Gibson RC, Waldron NK, Abel WD, Eldemire-Shearer D, James K, Mitchell-Fearon K. Alcohol use, depression, and life satisfaction among older persons in Jamaica. International psychogeriatrics. 2017;29(4):663–71. Epub 2016/12/13. doi: 10.1017/S1041610216002209 . [DOI] [PubMed] [Google Scholar]
  • 18.Roson B, Monte R, Gamallo R, Puerta R, Zapatero A, Fernandez-Sola J, et al. Prevalence and routine assessment of unhealthy alcohol use in hospitalized patients. European journal of internal medicine. 2010;21(5):458–64. Epub 2010/09/08. doi: 10.1016/j.ejim.2010.04.006 . [DOI] [PubMed] [Google Scholar]
  • 19.Johannessen A, Engedal K, Larsen M, Lillehovde E, Stellander LT, Helvik A-S. Alcohol and prescribed psychotropic drug use among patients admitted to a department of old-age psychiatry in Norway. Nordic Studies on Alcohol and Drugs. 2017;34(1):57–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Iparraguirre J. Socioeconomic determinants of risk of harmful alcohol drinking among people aged 50 or over in England. BMJ open. 2015;5(7):e007684. 10.1136/bmjopen-2015-007684. . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Machado MPA, Opaleye DC, Pereira TV, Padilla I, Noto AR, Prince M, et al. Alcohol and tobacco consumption concordance and its correlates in older couples in Latin America. Geriatrics & gerontology international. 2017;17(11):1849–57. Epub 2017/01/07. doi: 10.1111/ggi.12974 ; PubMed Central PMCID: PMC5724508. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Lima MC, Simao MO, Oliveira JB, Cavariani MB, Tucci AM, Kerr-Correa F. Alcohol use and falls among the elderly in Metropolitan Sao Paulo, Brazil. Cadernos de saude publica. 2009;25(12):2603–11. Epub 2010/03/02. doi: 10.1590/s0102-311x2009001200007 . [DOI] [PubMed] [Google Scholar]
  • 23.Gilson KM, Bryant C, Judd F. Exploring risky drinking and knowledge of safe drinking guidelines in older adults. Substance use & misuse. 2014;49(11):1473–9. Epub 2014/05/16. doi: 10.3109/10826084.2014.912233 . [DOI] [PubMed] [Google Scholar]
  • 24.World Health Organization. International guide for monitoring alcohol consumption and related harm. Department of Mental Health and Substance Dependence, Noncommunicable Diseases and Mental Health Cluster, World Health Organization, 2000. WHO/MSD/MSB/00.4. Available from: https://apps.who.int/iris/handle/10665/66529. [Google Scholar]
  • 25.Dawson DA, Room R. Towards agreement on ways to measure and report drinking patterns and alcohol-related problems in adult general population surveys: the Skarpö conference overview. Journal of substance abuse. 2000;12(1–2):1–21. Epub 2001/04/06. doi: 10.1016/s0899-3289(00)00037-7 . [DOI] [PubMed] [Google Scholar]
  • 26.Greenfield TK, Kerr WC. Alcohol measurement methodology in epidemiology: recent advances and opportunities. Addiction (Abingdon, England). 2008;103(7):1082–99. Epub 2008/04/22. doi: 10.1111/j.1360-0443.2008.02197.x ; PubMed Central PMCID: PMC2782942. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Kerr WC, Stockwell T. Understanding standard drinks and drinking guidelines. Drug and alcohol review. 2012;31(2):200–5. Epub 2011/11/05. doi: 10.1111/j.1465-3362.2011.00374.x ; PubMed Central PMCID: PMC3276704. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Cohen-Mansfield J. Trends in Health Behaviors in the Old-Old Population: Results from a National Survey. Behavioral Medicine. 2012;38(1):6–11. doi: 10.1080/08964289.2011.644642 . [DOI] [PubMed] [Google Scholar]
  • 29.Meier P, Seitz HK. Age, alcohol metabolism and liver disease. Curr Opin Clin Nutr Metab Care. 2008;11(1):21–6. Epub 2007/12/20. doi: 10.1097/MCO.0b013e3282f30564 . [DOI] [PubMed] [Google Scholar]
  • 30.Moore AA, Whiteman EJ, Ward KT. Risks of combined alcohol/medication use in older adults. Am J Geriatr Pharmacother. 2007;5(1):64–74. Epub 2007/07/05. doi: 10.1016/j.amjopharm.2007.03.006 ; PubMed Central PMCID: PMC4063202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Hallgren M, Högberg P, Andrèasson S. Alcohol consumption among elderly European Union citizens. Health effects, consumption trends and related issues. Expert Conference on Alcohol and Health, 21–22 September 2009, Stockholm, Sweden. Swedish National Institute of Public Health. Available from: https://www.researchgate.net/publication/234057043_Alcohol_consumption_among_elderly_European_Union_citizens_Health_effects_consumption_trends_and_related_issues.
  • 32.Bobak M, Malyutina S, Horvat P, Pajak A, Tamosiunas A, Kubinova R, et al. Alcohol, drinking pattern and all-cause, cardiovascular and alcohol-related mortality in Eastern Europe. European journal of epidemiology. 2016;31(1):21–30. Epub 2015/10/16. doi: 10.1007/s10654-015-0092-8 ; PubMed Central PMCID: PMC4756032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Bergmann MM, Rehm J, Klipstein-Grobusch K, Boeing H, Schütze M, Drogan D, et al. The association of pattern of lifetime alcohol use and cause of death in the European prospective investigation into cancer and nutrition (EPIC) study. International journal of epidemiology. 2013;42(6):1772–90. doi: 10.1093/ije/dyt154 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Langballe EM, Ask H, Holmen J, Stordal E, Saltvedt I, Selbaek G, et al. Alcohol consumption and risk of dementia up to 27 years later in a large, population-based sample: the HUNT study, Norway. European journal of epidemiology. 2015;30(9):1049–56. Epub 2015/05/15. doi: 10.1007/s10654-015-0029-2 ; PubMed Central PMCID: PMC4584101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.IARD. Drinking Guidelines: General Population. Available from: http://www.iard.org/resources/drinking-guidelines-general-population/.
  • 36.National Institute on Alcohol Abuse and Alcoholism. Older adults. USA 2019. Available from: https://www.niaaa.nih.gov/alcohols-effects-health/special-populations-co-occurring-disorders/older-adults.
  • 37.Moore AA, Morton SC, Beck JC, Hays RD, Oishi SM, Partridge JM, et al. A new paradigm for alcohol use in older persons. Med Care. 1999;37(2):165–79. Epub 1999/02/19. doi: 10.1097/00005650-199902000-00007 . [DOI] [PubMed] [Google Scholar]
  • 38.Azagba S, Shan L, Latham K, Manzione L. Trends in Binge and Heavy Drinking among Adults in the United States, 2011–2017. Substance use & misuse. 2020;55(6):990–7. Epub 2020/01/31. doi: 10.1080/10826084.2020.1717538 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.National Institute on Alcohol Abuse and Alcoholism. What Is Binge Drinking? USA 2021. Available from: Binge Drinking | National Institute on Alcohol Abuse and Alcoholism (NIAAA) (nih.gov).
  • 40.Greenfield TK. Evaluating competing models of alcohol-related harm. Alcoholism, clinical and experimental research. 1998;22(2 Suppl):52s–62s. Epub 1998/05/29. doi: 10.1097/00000374-199802001-00008 . [DOI] [PubMed] [Google Scholar]
  • 41.Liu W, Redmond EM, Morrow D, Cullen JP. Differential effects of daily-moderate versus weekend-binge alcohol consumption on atherosclerotic plaque development in mice. Atherosclerosis. 2011;219(2):448–54. Epub 2011/09/21. doi: 10.1016/j.atherosclerosis.2011.08.034 ; PubMed Central PMCID: PMC3226915. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Piano MR, Mazzuco A, Kang M, Phillips SA. Cardiovascular Consequences of Binge Drinking: An Integrative Review with Implications for Advocacy, Policy, and Research. Alcoholism, clinical and experimental research. 2017;41(3):487–96. Epub 2017/01/10. doi: 10.1111/acer.13329 ; PubMed Central PMCID: PMC7318786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Moskalewicz J, Sieroslawski J. Drinking poulation surveys–Guidance document for standardized approach. Final report prepared for the project Standardizing Measurement of Alcohol-Related-Troubles–SMART. Institute of Psychiatry and Neurology, Warsaw: 2010. Available from: https://www.drugsandalcohol.ie/15682/1/EU_Comm_Drinking_population_surveys.pdf. [Google Scholar]
  • 44.Rehm J. Measuring quantity, frequency, and volume of drinking. Alcoholism, clinical and experimental research. 1998;22(2 Suppl):4s–14s. Epub 1998/05/29. doi: 10.1097/00000374-199802001-00002 . [DOI] [PubMed] [Google Scholar]
  • 45.Dawson DA. Methodological issues in measuring alcohol use. Alcohol Res Health. 2003;27(1):18–29. Epub 2004/08/11. ; PubMed Central PMCID: PMC6676704. [PMC free article] [PubMed] [Google Scholar]
  • 46.Rehm J, Greenfield TK, Walsh G, Xie X, Robson L, Single E. Assessment methods for alcohol consumption, prevalence of high risk drinking and harm: a sensitivity analysis. International journal of epidemiology. 1999;28(2):219–24. Epub 1999/05/26. doi: 10.1093/ije/28.2.219 . [DOI] [PubMed] [Google Scholar]
  • 47.Stockwell T, Zhao J, Chikritzhs T, Greenfield TK. What did you drink yesterday? Public health relevance of a recent recall method used in the 2004 Australian National Drug Strategy Household Survey. Addiction (Abingdon, England). 2008;103(6):919–28. Epub 2008/05/17. doi: 10.1111/j.1360-0443.2008.02219.x ; PubMed Central PMCID: PMC2782945. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Midanik LT. Comparing usual quantity/frequency and graduated frequency scales to assess yearly alcohol consumption: results from the 1990 US National Alcohol Survey. Addiction (Abingdon, England). 1994;89(4):407–12. Epub 1994/04/01. doi: 10.1111/j.1360-0443.1994.tb00914.x . [DOI] [PubMed] [Google Scholar]
  • 49.Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG. AUDIT—The Alcohol Use Disorders Identification Test. Guidelines for Use in Primary Care. World Health Organization. Department of Mental Health and Substance Dependence. 2001. WHO/MSD/MSB/01.6a. Available from: https://apps.who.int/iris/bitstream/handle/10665/67205/WHO_MSD_MSB_01.6a.pdf?sequence=1. [Google Scholar]
  • 50.Aalto M, Alho H, Halme JT, Seppä K. The alcohol use disorders identification test (AUDIT) and its derivatives in screening for heavy drinking among the elderly. International journal of geriatric psychiatry. 2011;26(9):881–5. doi: 10.1002/gps.2498 . [DOI] [PubMed] [Google Scholar]
  • 51.Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS medicine. 2009;6(7):e1000097. Epub 2009/07/22. doi: 10.1371/journal.pmed.1000097 ; PubMed Central PMCID: PMC2707599. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Harris JD, Quatman CE, Manring MM, Siston RA, Flanigan DC. How to write a systematic review. Am J Sports Med. 2014;42(11):2761–8. Epub 2013/08/09. doi: 10.1177/0363546513497567 . [DOI] [PubMed] [Google Scholar]
  • 53.Oxman AD. Checklists for review articles. BMJ (Clinical research ed). 1994;309(6955):648–51. Epub 1994/09/10. doi: 10.1136/bmj.309.6955.648 ; PubMed Central PMCID: PMC2541456. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Parsons L, Cordier R, Munro N, Joosten A, Speyer R. A systematic review of pragmatic language interventions for children with autism spectrum disorder. PloS one. 2017;12(4):e0172242. Epub 2017/04/21. doi: 10.1371/journal.pone.0172242 ; PubMed Central PMCID: PMC5398499. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Almeida OP, Hankey GJ, Yeap BB, Golledge J, Flicker L. Alcohol consumption and cognitive impairment in older men: A mendelian randomization study. Neurology. 2014;82(12):1038–44. doi: 10.1212/WNL.0000000000000255 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Almeida OP, McCaul K, Hankey GJ, Yeap BB, Golledge J, Flicker L. Excessive alcohol consumption increases mortality in later life: a genetic analysis of the health in men cohort study. Addiction biology. 2017;22(2):570–8. doi: 10.1111/adb.12340 . [DOI] [PubMed] [Google Scholar]
  • 57.Ilomaki J, Gnjidic D, Hilmer SN, Le Couteur DG, Naganathan V, Cumming RG, et al. Psychotropic drug use and alcohol drinking in community-dwelling older Australian men: the CHAMP study. Drug and alcohol review. 2013;32(2):218–22. Epub 2012/08/14. doi: 10.1111/j.1465-3362.2012.00496.x . [DOI] [PubMed] [Google Scholar]
  • 58.Ilomaki J, Gnjidic D, Le Couteur DG, Bell JS, Blyth FM, Handelsman DJ, et al. Alcohol consumption and tobacco smoking among community-dwelling older Australian men: the Concord Health and Ageing in Men Project. Australasian journal on ageing. 2014;33(3):185–92. Epub 2014/02/14. doi: 10.1111/ajag.12048 . [DOI] [PubMed] [Google Scholar]
  • 59.Siddiquee AT, Kadota A, Fujiyoshi A, Miyagawa N, Saito Y, Suzuki H, et al. Alcohol consumption and cognitive function in elderly Japanese men. Alcohol (Fayetteville, NY). 2020;85:145–52. Epub 2020/01/11. doi: 10.1016/j.alcohol.2020.01.001 . [DOI] [PubMed] [Google Scholar]
  • 60.Hoang TD, Byers AL, Barnes DE, Yaffe K. Alcohol consumption patterns and cognitive impairment in older women. American Journal of Geriatric Psychiatry. 2014;22(12):1663–7. doi: 10.1016/j.jagp.2014.04.006 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Jentsch F, Allen J, Fuchs J, von der Lippe E. Typical patterns of modifiable health risk factors (MHRFs) in elderly women in Germany: results from the cross-sectional German Health Update (GEDA) study, 2009 and 2010. BMC women’s health. 2017;17:1–10. doi: 10.1186/s12905-016-0358-7 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Chan KK, Chiu KC, Chu LW. Association between alcohol consumption and cognitive impairment in Southern Chinese older adults. International journal of geriatric psychiatry. 2010;25(12):1272–9. Epub 2010/11/19. doi: 10.1002/gps.2470 . [DOI] [PubMed] [Google Scholar]
  • 63.Ivan MC, Amspoker AB, Nadorff MR, Kunik ME, Cully JA, Wilson N, et al. Alcohol use, anxiety, and insomnia in older adults with generalized anxiety disorder. The American journal of geriatric psychiatry: official journal of the American Association for Geriatric Psychiatry. 2014;22(9):875–83. Epub 2013/08/27. doi: 10.1016/j.jagp.2013.04.001 ; PubMed Central PMCID: PMC3842378. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Satre DD, Sterling SA, Mackin RS, Weisner C, Satre DD, Sterling SA, et al. Patterns of alcohol and drug use among depressed older adults seeking outpatient psychiatric services. American Journal of Geriatric Psychiatry. 2011;19(8):695–703. doi: 10.1097/JGP.0b013e3181f17f0a . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.D’Ovidio F, Rooney JPK, Visser AE, Manera U, Beghi E, Logroscino G, et al. Association between alcohol exposure and the risk of amyotrophic lateral sclerosis in the Euro-MOTOR study. J Neurol Neurosurg Psychiatry. 2019;90(1):11–9. Epub 2018/08/05. doi: 10.1136/jnnp-2018-318559 . [DOI] [PubMed] [Google Scholar]
  • 66.Kim JW, Byun MS, Yi D, Lee JH, Ko K, Jeon SY, et al. Association of moderate alcohol intake with in vivo amyloid-beta deposition in human brain: A cross-sectional study. PLoS medicine. 2020;17(2):e1003022. Epub 2020/02/26. doi: 10.1371/journal.pmed.1003022 ; PubMed Central PMCID: PMC7041799. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Shiotsuki H, Saijo Y, Ogushi Y, Kobayashi S. Relationships between Alcohol Intake and Ischemic Stroke Severity in Sex Stratified Analysis for Japanese Acute Stroke Patients. Journal of stroke and cerebrovascular diseases: the official journal of National Stroke Association. 2019;28(6):1604–17. Epub 2019/03/25. doi: 10.1016/j.jstrokecerebrovasdis.2019.02.034 . [DOI] [PubMed] [Google Scholar]
  • 68.Suo C, Yang Y, Yuan Z, Zhang T, Yang X, Qing T, et al. Alcohol Intake Interacts with Functional Genetic Polymorphisms of Aldehyde Dehydrogenase (ALDH2) and Alcohol Dehydrogenase (ADH) to Increase Esophageal Squamous Cell Cancer Risk. J Thorac Oncol. 2019;14(4):712–25. Epub 2019/01/15. doi: 10.1016/j.jtho.2018.12.023 . [DOI] [PubMed] [Google Scholar]
  • 69.Tateishi R, Uchino K, Fujiwara N, Takehara T, Okanoue T, Seike M, et al. A nationwide survey on non-B, non-C hepatocellular carcinoma in Japan: 2011–2015 update. Journal of gastroenterology. 2019;54(4):367–76. Epub 2018/12/01. doi: 10.1007/s00535-018-1532-5 ; PubMed Central PMCID: PMC6437291. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Zaitsu M, Takeuchi T, Kobayashi Y, Kawachi I. Light to moderate amount of lifetime alcohol consumption and risk of cancer in Japan. Cancer. 2020;126(5):1031–40. Epub 2019/12/10. doi: 10.1002/cncr.32590 ; PubMed Central PMCID: PMC7027900. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Ahlner F, Sigstrom R, Sterner TR, Fassberg MM, Kern S, Ostling S, et al. Increased alcohol consumption among Swedish 70-year-olds 1976 to 2016: Analysis of data from The Gothenburg H70 Birth Cohort Studies, Sweden. Alcoholism: Clinical and Experimental Research. 2018;42(12):2403–12. 10.1111/acer.13893. PubMed PMID: 2018-63313-013. [DOI] [PubMed] [Google Scholar]
  • 72.Guidolin BL, Silva Filho IG, Nogueira EL, Ribeiro Junior FP, Cataldo Neto A. Patterns of alcohol use in an elderly sample enrolled in the Family Health Strategy program in the city of Porto Alegre, Brazil. Ciencia & saude coletiva. 2016;21(1):27–35. Epub 2016/01/28. doi: 10.1590/1413-81232015211.10032015 . [DOI] [PubMed] [Google Scholar]
  • 73.Chavez LJ, Liu C-F, Tefft N, Hebert PL, Clark BJ, Rubinsky AD, et al. Unhealthy alcohol use in older adults: Association with readmissions and emergency department use in the 30 days after hospital discharge. Drug & Alcohol Dependence. 2016;158:94–101. doi: 10.1016/j.drugalcdep.2015.11.008 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Agahi N, Dahlberg L, Lennartsson C. Social integration and alcohol consumption among older people: A four-year follow-up of a Swedish national sample. Drug & Alcohol Dependence. 2019;196:40–5. doi: 10.1016/j.drugalcdep.2018.12.011 . [DOI] [PubMed] [Google Scholar]
  • 75.Bazal P, Gea A, Martínez-González MA, Salas-Salvadó J, Asensio EM, Muñoz-Bravo C, et al. Mediterranean alcohol-drinking pattern, low to moderate alcohol intake and risk of atrial fibrillation in the PREDIMED study. Nutrition, metabolism, and cardiovascular diseases: NMCD. 2019;29(7):676–83. Epub 2019/05/13. doi: 10.1016/j.numecd.2019.03.007 . [DOI] [PubMed] [Google Scholar]
  • 76.Buja A, Scafato E, Baggio B, Sergi G, Maggi S, Rausa G, et al. Renal impairment and moderate alcohol consumption in the elderly. Results from the Italian Longitudinal Study on Aging (ILSA). Public health nutrition. 2011;14(11):1907–18. Epub 2011/07/07. doi: 10.1017/S1368980011000863 . [DOI] [PubMed] [Google Scholar]
  • 77.Buja A, Scafato E, Sergi G, Maggi S, Suhad MA, Rausa G, et al. Alcohol consumption and metabolic syndrome in the elderly: results from the Italian longitudinal study on aging. European journal of clinical nutrition. 2010;64(3):297–307. Epub 2009/11/26. doi: 10.1038/ejcn.2009.136 . [DOI] [PubMed] [Google Scholar]
  • 78.Davis BJK, Vidal J-S, Garcia M, Aspelund T, van Buchem MA, Jonsdottir MK, et al. The alcohol paradox: light-to-moderate alcohol consumption, cognitive function, and brain volume. Journals of Gerontology Series A: Biological Sciences & Medical Sciences. 2014;69(12):1528–35. doi: 10.1093/gerona/glu092 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Ormstad H, Rosness TA, Bergem AL, Bjertness E, Strand BH. Alcohol consumption in the elderly and risk of dementia related death—a Norwegian prospective study with a 17-year follow-up. The International journal of neuroscience. 2016;126(2):135–44. Epub 2014/12/17. doi: 10.3109/00207454.2014.997876 . [DOI] [PubMed] [Google Scholar]
  • 80.Scott RG, Wiener CH, Paulson D. The Benefit of Moderate Alcohol Use on Mood and Functional Ability in Later Life: Due to Beers or Frequent Cheers? The Gerontologist. 2020;60(1):80–8. Epub 2018/10/26. doi: 10.1093/geront/gny129 . [DOI] [PubMed] [Google Scholar]
  • 81.Kohno K, Niihara H, Hamano T, Takeda M, Nakagawa Y, Shiwaku K, et al. J-curve association between alcohol intake and varicose veins in Japan: The Shimane CoHRE Study. The Journal of dermatology. 2019;46(10):902–6. Epub 2019/07/30. doi: 10.1111/1346-8138.15022 . [DOI] [PubMed] [Google Scholar]
  • 82.Aguila E, Guerrero EG, Vega WA. Sociodemographic characteristics associated with alcohol use among low-income Mexican older adults. Substance Abuse Treatment, Prevention & Policy. 2016;11:1–9. doi: 10.1186/s13011-016-0061-6 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Barnes AJ, Moore AA, Xu H, Ang A, Tallen L, Mirkin M, et al. Prevalence and correlates of at-risk drinking among older adults: the project SHARE study. Journal of general internal medicine. 2010;25(8):840–6. Epub 2010/04/17. doi: 10.1007/s11606-010-1341-x ; PubMed Central PMCID: PMC2896609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Bell S, Britton A. Reliability of a retrospective decade-based life-course alcohol consumption questionnaire administered in later life. Addiction (Abingdon, England). 2015;110(10):1563–73. Epub 2015/06/09. doi: 10.1111/add.13012 ; PubMed Central PMCID: PMC4587356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Britton A, Fat LN, Neligan A. The association between alcohol consumption and sleep disorders among older people in the general population. Scientific reports. 2020;10(1):5275. Epub 2020/03/27. doi: 10.1038/s41598-020-62227-0 ; PubMed Central PMCID: PMC7093458. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Bryant AN, Kim G. The relation between acculturation and alcohol consumption patterns among older Asian and Hispanic immigrants. Aging & mental health. 2013;17(2):147–56. Epub 2012/10/27. doi: 10.1080/13607863.2012.727382 . [DOI] [PubMed] [Google Scholar]
  • 87.Bryant AN, Kim G. The relation between frequency of binge drinking and psychological distress among older adult drinkers. Journal of aging and health. 2013;25(7):1243–57. Epub 2013/08/31. doi: 10.1177/0898264313499933 . [DOI] [PubMed] [Google Scholar]
  • 88.Bryant AN, Kim G. Regional and racial/ethnic variations in alcohol consumption among older adults. Aging & mental health. 2019;23(11):1503–9. Epub 2019/01/03. doi: 10.1080/13607863.2018.1506746 ; PubMed Central PMCID: PMC6606409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Choi NG, Dinitto DM, Choi NG, DiNitto DM. Psychological distress, binge/heavy drinking, and gender differences among older adults. American Journal on Addictions. 2011;20(5):420–8. doi: 10.1111/j.1521-0391.2011.00149.x . [DOI] [PubMed] [Google Scholar]
  • 90.Cousins G, Galvin R, Flood M, Kennedy MC, Motterlini N, Henman MC, et al. Potential for alcohol and drug interactions in older adults: evidence from the Irish longitudinal study on ageing. BMC geriatrics. 2014;14:57. Epub 2014/04/29. doi: 10.1186/1471-2318-14-57 ; PubMed Central PMCID: PMC4008399. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Dhana K, Evans DA, Rajan KB, Bennett DA, Morris MC. Healthy lifestyle and the risk of Alzheimer dementia: Findings from 2 longitudinal studies. Neurology. 2020;95(4):e374–e83. Epub 2020/06/20. doi: 10.1212/WNL.0000000000009816 ; PubMed Central PMCID: PMC7455318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Forlani M, Morri M, Belvederi Murri M, Bernabei V, Moretti F, Attili T, et al. Anxiety symptoms in 74+ community-dwelling elderly: associations with physical morbidity, depression and alcohol consumption. PloS one. 2014;9(2):e89859. Epub 2014/03/04. doi: 10.1371/journal.pone.0089859 ; PubMed Central PMCID: PMC3935948. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Foster J, Patel S. Prevalence of simultaneous use of alcohol and prescription medication in older adults: findings from a cross-sectional survey (Health Survey for England 2013). BMJ Open. 2019;9(6):e023730. Epub 2019/07/01. doi: 10.1136/bmjopen-2018-023730 ; PubMed Central PMCID: PMC6609060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Gargiulo G, Testa G, Cacciatore F, Mazzella F, Galizia G, Della-Morte D, et al. Moderate alcohol consumption predicts long-term mortality in elderly subjects with chronic heart failure. The journal of nutrition, health & aging. 2013;17(5):480–5. Epub 2013/05/03. doi: 10.1007/s12603-012-0430-4 . [DOI] [PubMed] [Google Scholar]
  • 95.González-Rubio E, San Mauro I, López-Ruíz C, Díaz-Prieto L, Marcos A, Nova E, et al. Relationship of moderate alcohol intake and type of beverage with health behaviors and quality of life in elderly subjects. Quality of Life Research. 2016;25(8):1931–42. doi: 10.1007/s11136-016-1229-2 . [DOI] [PubMed] [Google Scholar]
  • 96.Hajek A, Bock JO, Weyerer S, Konig HH. Correlates of alcohol consumption among Germans in the second half of life. Results of a population-based observational study. BMC geriatrics. 2017;17(1):207. Epub 2017/09/10. doi: 10.1186/s12877-017-0592-3 ; PubMed Central PMCID: PMC5591529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Halme JT, Seppa K, Alho H, Poikolainen K, Pirkola S, Aalto M. Alcohol consumption and all-cause mortality among elderly in Finland. Drug and alcohol dependence. 2010;106(2–3):212–8. Epub 2009/09/29. doi: 10.1016/j.drugalcdep.2009.08.017 . [DOI] [PubMed] [Google Scholar]
  • 98.Han BH, Moore AA, Ferris R, Palamar JJ. Binge Drinking Among Older Adults in the United States, 2015 to 2017. Journal of the American Geriatrics Society. 2019;67(10):2139–44. Epub 2019/08/01. doi: 10.1111/jgs.16071 ; PubMed Central PMCID: PMC6800799. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Heffernan M, Mather KA, Jing X, Assareh AA, Kochan NA, Reppermund S, et al. Alcohol Consumption and Incident Dementia: Evidence from the Sydney Memory and Ageing Study. Journal of Alzheimer’s Disease. 2016;52(2):529–38. doi: 10.3233/JAD-150537 . [DOI] [PubMed] [Google Scholar]
  • 100.Hoeck S, Van Hal G. Unhealthy drinking in the Belgian elderly population: prevalence and associated characteristics. European journal of public health. 2013;23(6):1069–75. 10.1093/eurpub/cks152. PubMed PMID: 2013-42700-012. [DOI] [PubMed] [Google Scholar]
  • 101.Holton A, Boland F, Gallagher P, Fahey T, Kenny RA, Cousins G. Longitudinal prevalence of potentially serious alcohol-medication interactions in community-dwelling older adults: a prospective cohort study. European Journal of Clinical Pharmacology. 2019;75(4):569–75. doi: 10.1007/s00228-018-02608-7 . [DOI] [PubMed] [Google Scholar]
  • 102.Hongthong D, Somrongthong R, Wongchaiya P, Kumar R. Factors Predictive Of Alcohol Consumption Among Elderly People In A Rural Community: A Case Study In Phayao Province Thailand. Journal of Ayub Medical College, Abbottabad: JAMC. 2016;28(2):237–40. Epub 2016/04/01. . [PubMed] [Google Scholar]
  • 103.Immonen S, Valvanne J, Pitkala KH. Prevalence of at-risk drinking among older adults and associated sociodemographic and health-related factors. The journal of nutrition, health & aging. 2011;15(9):789–94. Epub 2011/11/18. doi: 10.1007/s12603-011-0115-4 . [DOI] [PubMed] [Google Scholar]
  • 104.Immonen S, Valvanne J, Pitkälä KH. The prevalence of potential alcohol-drug interactions in older adults. Scand J Prim Health Care. 2013;31(2):73–8. Epub 2013/04/30. doi: 10.3109/02813432.2013.788272 ; PubMed Central PMCID: PMC3656398. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Jeong HG, Kim TH, Lee JJ, Lee SB, Park JH, Huh Y, et al. Impact of alcohol use on mortality in the elderly: results from the Korean Longitudinal Study on Health and Aging. Drug and alcohol dependence. 2012;121(1–2):133–9. Epub 2011/09/13. doi: 10.1016/j.drugalcdep.2011.08.017 . [DOI] [PubMed] [Google Scholar]
  • 106.Kim SA, Kim E, Morris RG, Park WS. Exploring the non-linear relationship between alcohol consumption and depression in an elderly population in Gangneung: the Gangneung Health Study. Yonsei medical journal. 2015;56(2):418–25. Epub 2015/02/17. doi: 10.3349/ymj.2015.56.2.418 ; PubMed Central PMCID: PMC4329353. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Lasebikan VO, Gureje O. Lifetime and 7-day alcohol consumption in the elderly, prevalence and correlates: Reports from the Ibadan Study of Aging. African journal of medicine and medical sciences. 2015;44(1):33–41. Epub 2015/11/10. . [PubMed] [Google Scholar]
  • 108.Li J, Wu B, Selbæk G, Krokstad S, Helvik AS. Factors associated with consumption of alcohol in older adults—a comparison between two cultures, China and Norway: the CLHLS and the HUNT-study. BMC geriatrics. 2017;17(1):172. Epub 2017/08/02. doi: 10.1186/s12877-017-0562-9 ; PubMed Central PMCID: PMC5537928. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Li J, Wu B, Tevik K, Krokstad S, Helvik AS. Factors associated with elevated consumption of alcohol in older adults-comparison between China and Norway: the CLHLS and the HUNT Study. BMJ open. 2019;9(8):e028646. Epub 2019/08/05. doi: 10.1136/bmjopen-2018-028646 ; PubMed Central PMCID: PMC6687031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Listabarth S, Vyssoki B, Waldhoer T, Gmeiner A, Vyssoki S, Wippel A, et al. Hazardous alcohol consumption among older adults: A comprehensive and multi-national analysis of predictive factors in 13,351 individuals. Eur Psychiatry. 2020;64(1):e4. Epub 2020/12/22. doi: 10.1192/j.eurpsy.2020.112 ; PubMed Central PMCID: PMC8057428. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Liu Y, Mitsuhashi T, Yamakawa M, Sasai M, Tsuda T, Doi H, et al. Alcohol consumption and incident dementia in older Japanese adults: The Okayama Study. Geriatrics & gerontology international. 2019;19(8):740–6. Epub 2019/06/08. doi: 10.1111/ggi.13694 . [DOI] [PubMed] [Google Scholar]
  • 112.Marti CN, Choi NG, DiNitto DM, Choi BY. Associations of lifetime abstention and past and current alcohol use with late-life mental health: a propensity score analysis. Drug and alcohol dependence. 2015;149:245–51. Epub 2015/03/03. doi: 10.1016/j.drugalcdep.2015.02.008 . [DOI] [PubMed] [Google Scholar]
  • 113.McCaul KA, Almeida OP, Hankey GJ, Jamrozik K, Byles JE, Flicker L. Alcohol use and mortality in older men and women. Addiction (Abingdon, England). 2010;105(8):1391–400. Epub 2010/06/10. doi: 10.1111/j.1360-0443.2010.02972.x . [DOI] [PubMed] [Google Scholar]
  • 114.Merrick ES, Hodgkin D, Garnick DW, Horgan CM, Panas L, Ryan M, et al. Older adults’ inpatient and emergency department utilization for ambulatory-care-sensitive conditions: relationship with alcohol consumption. Journal of aging and health. 2011;23(1):86–111. Epub 2010/10/12. doi: 10.1177/0898264310383156 ; PubMed Central PMCID: PMC3021178. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Moore AA, Karno MP, Grella CE, Lin JC, Warda U, Liao DH, et al. Alcohol, tobacco, and nonmedical drug use in older U.S. Adults: data from the 2001/02 national epidemiologic survey of alcohol and related conditions. Journal of the American Geriatrics Society. 2009;57(12):2275–81. Epub 2009/10/31. doi: 10.1111/j.1532-5415.2009.02554.x ; PubMed Central PMCID: PMC3646625. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Nadkarni A, Acosta D, Rodriguez G, Prince M, Ferri CP. The psychological impact of heavy drinking among the elderly on their co-residents: the 10/66 group population based survey in the Dominican Republic. Drug and alcohol dependence. 2011;114(1):82–6. Epub 2010/10/26. doi: 10.1016/j.drugalcdep.2010.09.005 ; PubMed Central PMCID: PMC3123469. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Nogueira EL, Neto AC, Cauduro MHF, Ulrich LEF, Spanemberg L, DeCarli GA, et al. Prevalence and patterns of alcohol misuse in a community-dwelling elderly sample in Brazil. Journal of aging and health. 2013;25(8):1340–57. 10.1177/0898264313506461. PubMed PMID: 2014-00121-005. [DOI] [PubMed] [Google Scholar]
  • 118.Nuevo R, Chatterji S, Verdes E, Naidoo N, Ayuso-Mateos JL, Miret M. Prevalence of alcohol consumption and pattern of use among the elderly in the WHO European Region. European addiction research. 2015;21(2):88–96. Epub 2014/11/22. doi: 10.1159/000360002 . [DOI] [PubMed] [Google Scholar]
  • 119.Ortola R, Garcia-Esquinas E, Galan I, Guallar-Castillon P, Lopez-Garcia E, Banegas JR, et al. Patterns of alcohol consumption and risk of falls in older adults: a prospective cohort study. Osteoporosis international: a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA. 2017;28(11):3143–52. Epub 2017/07/21. doi: 10.1007/s00198-017-4157-2 . [DOI] [PubMed] [Google Scholar]
  • 120.Ortolá R, García-Esquinas E, Soler-Vila H, Ordovas JM, López-García E, Rodríguez-Artalejo F. Changes in health status predict changes in alcohol consumption in older adults: the Seniors-ENRICA cohort. Journal of epidemiology and community health. 2019;73(2):123–9. Epub 2018/11/01. doi: 10.1136/jech-2018-211104 . [DOI] [PubMed] [Google Scholar]
  • 121.Parikh RB, Junquera P, Canaan Y, Oms JD. Predictors of binge drinking in elderly Americans. The American journal on addictions. 2015;24(7):621–7. Epub 2015/08/25. doi: 10.1111/ajad.12275 . [DOI] [PubMed] [Google Scholar]
  • 122.Rao R, Schofield P, Ashworth M. Alcohol use, socioeconomic deprivation and ethnicity in older people. BMJ open. 2015;5(8):e007525. Epub 2015/08/26. doi: 10.1136/bmjopen-2014-007525 ; PubMed Central PMCID: PMC4550718. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Ryan M, Merrick EL, Hodgkin D, Horgan CM, Garnick DW, Panas L, et al. Drinking patterns of older adults with chronic medical conditions. Journal of general internal medicine. 2013;28(10):1326–32. Epub 2013/04/24. doi: 10.1007/s11606-013-2409-1 ; PubMed Central PMCID: PMC3785666. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Sacco P, Bucholz KK, Spitznagel EL. Alcohol use among older adults in the National Epidemiologic Survey on Alcohol and Related Conditions: a latent class analysis. Journal of studies on alcohol and drugs. 2009;70(6):829–38. Epub 2009/11/10. doi: 10.15288/jsad.2009.70.829 ; PubMed Central PMCID: PMC2776115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Sanford NN, Sher DJ, Xu X, Ahn C, D’Amico AV, Aizer AA, et al. Alcohol Use Among Patients With Cancer and Survivors in the United States, 2000–2017. J Natl Compr Canc Netw. 2020;18(1):69–79. Epub 2020/01/08. doi: 10.6004/jnccn.2019.7341 . [DOI] [PubMed] [Google Scholar]
  • 126.Shaw BA, Agahi N, Krause N, Shaw BA, Agahi N, Krause N. Are changes in financial strain associated with changes in alcohol use and smoking among older adults? Journal of Studies on Alcohol & Drugs. 2011;72(6):917–25. doi: 10.15288/jsad.2011.72.917 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Soler-Vila H, Ortolá R, García-Esquinas E, León-Muñoz LM, Rodríguez-Artalejo F. Changes in Alcohol Consumption and Associated Variables among Older Adults in Spain: A population-based cohort study. Scientific reports. 2019;9(1):10401. Epub 2019/07/20. doi: 10.1038/s41598-019-46591-0 ; PubMed Central PMCID: PMC6639301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Tait RJ, French DJ, Burns RA, Byles JE, Anstey KJ. Alcohol, hospital admissions, and falls in older adults: a longitudinal evaluation. International psychogeriatrics. 2013;25(6):901–12. Epub 2013/02/26. doi: 10.1017/S1041610213000173 . [DOI] [PubMed] [Google Scholar]
  • 129.Tevik K, Selbaek G, Engedal K, Seim A, Krokstad S, Helvik AS. Use of alcohol and drugs with addiction potential among older women and men in a population-based study. The Nord-Trondelag Health Study 2006–2008 (HUNT3). PloS one. 2017;12(9):e0184428. Epub 2017/09/09. doi: 10.1371/journal.pone.0184428 ; PubMed Central PMCID: PMC5590962. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Tevik K, Selbæk G, Engedal K, Seim A, Krokstad S, Helvik AS. Mortality in older adults with frequent alcohol consumption and use of drugs with addiction potential—The Nord Trøndelag Health Study 2006–2008 (HUNT3), Norway, a population-based study. PloS one. 2019;14(4):e0214813. Epub 2019/04/17. doi: 10.1371/journal.pone.0214813 ; PubMed Central PMCID: PMC6467384. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Towers A, Philipp M, Dulin P, Allen J. The "Health Benefits" of Moderate Drinking in Older Adults may be Better Explained by Socioeconomic Status. The journals of gerontology Series B, Psychological sciences and social sciences. 2018;73(4):649–54. Epub 2016/12/09. doi: 10.1093/geronb/gbw152 . [DOI] [PubMed] [Google Scholar]
  • 132.Towers A, Szabó Á, Newcombe DAL, Sheridan J, Moore AA, Hyde M, et al. Hazardous Drinking Prevalence and Correlates in Older New Zealanders: A Comparison of the AUDIT-C and the CARET. Journal of aging and health. 2019;31(10):1770–89. Epub 2018/08/28. doi: 10.1177/0898264318794108 ; PubMed Central PMCID: PMC6393211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Vafeas C, Graham R, de Jong G, Sharp J, Ngune I, Maes S. Alcohol consumption patterns of older adults: a study in a regional town in Western Australia. Contemporary nurse. 2017;53(6):647–57. Epub 2017/12/28. doi: 10.1080/10376178.2017.1421051 . [DOI] [PubMed] [Google Scholar]
  • 134.van Oort S, Beulens JW, van der Heijden A, Elders PJM, Stehouwer CDA, van de Luitgaarden IAT, et al. Moderate and heavy alcohol consumption are prospectively associated with decreased left ventricular ejection fraction: The Hoorn Study. Nutrition, metabolism, and cardiovascular diseases: NMCD. 2020;30(1):132–40. Epub 2019/11/02. doi: 10.1016/j.numecd.2019.09.021 . [DOI] [PubMed] [Google Scholar]
  • 135.Villalonga-Olives E, Almansa J, Shaya F, Kawachi I. Perceived social capital and binge drinking in older adults: The Health and Retirement Study, US data from 2006–2014. Drug and alcohol dependence. 2020;214:108099. Epub 2020/08/01. doi: 10.1016/j.drugalcdep.2020.108099 . [DOI] [PubMed] [Google Scholar]
  • 136.Villar Luis MA, de Lima Garcia MV, Pinto Barbosa S, da Costa Lima DW. Use of alcohol among elderly people attending Primary Health Care. Acta Paulista de Enfermagem. 2018;31(1):46–53. doi: 10.1590/1982-0194201800008 . [DOI] [Google Scholar]
  • 137.Wang S, Ungvari GS, Forester BP, Chiu HFK, Wu Y, Kou C, et al. Gender differences in general mental health, smoking, drinking and chronic diseases in older adults in Jilin province, China. Psychiatry research. 2017;251:58–62. Epub 2017/02/12. doi: 10.1016/j.psychres.2017.02.007 . [DOI] [PubMed] [Google Scholar]
  • 138.Weyerer S, Schaufele M, Wiese B, Maier W, Tebarth F, van den Bussche H, et al. Current alcohol consumption and its relationship to incident dementia: results from a 3-year follow-up study among primary care attenders aged 75 years and older. Age and ageing. 2011;40(4):456–63. Epub 2011/03/04. doi: 10.1093/ageing/afr007 . [DOI] [PubMed] [Google Scholar]
  • 139.Weyerer S, Schaufele M, Eifflaender-Gorfer S, Kohler L, Maier W, Haller F, et al. At-risk alcohol drinking in primary care patients aged 75 years and older. International journal of geriatric psychiatry. 2009;24(12):1376–85. Epub 2009/04/22. doi: 10.1002/gps.2274 . [DOI] [PubMed] [Google Scholar]
  • 140.Choi NG, Dinitto DM, Choi NG, Dinitto DM. Heavy/binge drinking and depressive symptoms in older adults: gender differences. International journal of geriatric psychiatry. 2011;26(8):860–8. doi: 10.1002/gps.2616 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Fillmore KM, Stockwell T, Chikritzhs T, Bostrom A, Kerr W. Moderate alcohol use and reduced mortality risk: systematic error in prospective studies and new hypotheses. Annals of epidemiology. 2007;17(5 Suppl):S16–23. Epub 2007/05/05. doi: 10.1016/j.annepidem.2007.01.005 . [DOI] [PubMed] [Google Scholar]
  • 142.Fink A, Morton SC, Beck JC, Hays RD, Spritzer K, Oishi S, et al. The alcohol-related problems survey: identifying hazardous and harmful drinking in older primary care patients. Journal of the American Geriatrics Society. 2002;50(10):1717–22. Epub 2002/10/09. doi: 10.1046/j.1532-5415.2002.50467.x . [DOI] [PubMed] [Google Scholar]
  • 143.Ilomäki J, Paljärvi T, Korhonen MJ, Enlund H, Alderman CP, Kauhanen J, et al. Prevalence of concomitant use of alcohol and sedative-hypnotic drugs in middle and older aged persons: a systematic review. Ann Pharmacother. 2013;47(2):257–68. Epub 2013/01/31. doi: 10.1345/aph.1R449 . [DOI] [PubMed] [Google Scholar]
  • 144.Heeb JL, Gmel G. Measuring alcohol consumption: a comparison of graduated frequency, quantity frequency, and weekly recall diary methods in a general population survey. Addictive behaviors. 2005;30(3):403–13. Epub 2005/02/19. doi: 10.1016/j.addbeh.2004.04.022 . [DOI] [PubMed] [Google Scholar]
  • 145.Reid MC, Tinetti ME, O’Connor PG, Kosten TR, Concato J. Measuring alcohol consumption among older adults: a comparison of available methods. The American journal on addictions. 2003;12(3):211–9. Epub 2003/07/10. doi: 10.1111/j.1521-0391.2003.tb00649.x . [DOI] [PubMed] [Google Scholar]
  • 146.Knäuper B, Carrière K, Chamandy M, Xu Z, Schwarz N, Rosen NO. How aging affects self-reports. Eur J Ageing. 2016;13(2):185–93. Epub 2016/04/02. doi: 10.1007/s10433-016-0369-0 ; PubMed Central PMCID: PMC5550601. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Hajat S, Haines A, Bulpitt C, Fletcher A. Patterns and determinants of alcohol consumption in people aged 75 years and older: results from the MRC trial of assessment and management of older people in the community. Age and ageing. 2004;33(2):170–7. Epub 2004/02/13. doi: 10.1093/ageing/afh046 . [DOI] [PubMed] [Google Scholar]
  • 148.Aira M, Hartikainen S, Sulkava R. Community prevalence of alcohol use and concomitant use of medication—a source of possible risk in the elderly aged 75 and older? International journal of geriatric psychiatry. 2005;20(7):680–5. Epub 2005/07/16. doi: 10.1002/gps.1340 . [DOI] [PubMed] [Google Scholar]
  • 149.Merrick EL, Horgan CM, Hodgkin D, Garnick DW, Houghton SF, Panas L, et al. Unhealthy drinking patterns in older adults: prevalence and associated characteristics. Journal of the American Geriatrics Society. 2008;56(2):214–23. Epub 2007/12/19. doi: 10.1111/j.1532-5415.2007.01539.x . [DOI] [PubMed] [Google Scholar]
  • 150.Blazer DG, Wu LT. The epidemiology of at-risk and binge drinking among middle-aged and elderly community adults: National Survey on Drug Use and Health. The American journal of psychiatry. 2009;166(10):1162–9. Epub 2009/08/19. doi: 10.1176/appi.ajp.2009.09010016 ; PubMed Central PMCID: PMC3074476. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Del Boca FK, Darkes J. The validity of self-reports of alcohol consumption: state of the science and challenges for research. Addiction (Abingdon, England). 2003;98 Suppl 2:1–12. Epub 2004/02/27. doi: 10.1046/j.1359-6357.2003.00586.x . [DOI] [PubMed] [Google Scholar]
  • 152.Ilomäki J, Korhonen MJ, Enlund H, Hartzema AG, Kauhanen J. Risk drinking behavior among psychotropic drug users in an aging Finnish population: the FinDrink study. Alcohol (Fayetteville, NY). 2008;42(4):261–7. Epub 2008/04/11. doi: 10.1016/j.alcohol.2008.02.002 . [DOI] [PubMed] [Google Scholar]
  • 153.Kelley K, Clark B, Brown V, Sitzia J. Good practice in the conduct and reporting of survey research. Int J Qual Health Care. 2003;15(3):261–6. Epub 2003/06/14. doi: 10.1093/intqhc/mzg031 . [DOI] [PubMed] [Google Scholar]
  • 154.Berner MM, Kriston L, Bentele M, Härter M. The alcohol use disorders identification test for detecting at-risk drinking: a systematic review and meta-analysis. Journal of studies on alcohol and drugs. 2007;68(3):461–73. Epub 2007/04/21. doi: 10.15288/jsad.2007.68.461 . [DOI] [PubMed] [Google Scholar]

Decision Letter 0

Petri Böckerman

19 Oct 2021

PONE-D-21-29079Various self-report measures used in epidemiological studies to assess alcohol consumption among older adults – A systematic reviewPLOS ONE

Dear Dr. Tevik,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. The revised version should address all concerns.

Please submit your revised manuscript by Dec 03 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

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We look forward to receiving your revised manuscript.

Kind regards,

Petri Böckerman

Academic Editor

PLOS ONE

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3. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

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Reviewers' comments:

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Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: This is an important systematic review of alcohol consumption and pattern measurement for epidemiological studies of older adults (65 plus years old). The review including 105 studies winnowed from many more in a comprehensive search found wide variation in every aspect of measurement strategy and importantly alcohol use pattern definitions. Basic variance was also found in drink size included, duration of measurement and type of measure, i.e., QF, BSQF, GQF Weekly diary, Last occasion. Conclusions and implications proposed by the authors emphasized the need for standardization. The manuscript is very well written and provides a wealth of tabular material.

I have a number of comments and suggestions for improvement of the paper:

1) LL 104-113 The list of measurement approaches is fine but there is here and in many places following an overuse of secondary references 24 and 36, (WHO international measurement guidelines and SMART, respectively). While I have nothing against these citations based essentially of expert groups, some other citations could help reduce the over-reliance one example being Greenfield & Kerr, Alcohol measurement methodology in epidemiology: recent advances and opportunities- Addiction, 2008. It would be worth emphasizing that last drinking occasion (and yesterday drinking especially) typically have specialized uses for better calibrating longer duration measures such as 12-month measures (e.g., Stockwell et al. What did you drink yesterday? Etc. Addiction, 2008).

2) I commend the authors for identifying LL 59-64 identifying perennial problems of measurement and pattern definition. A type of pattern definition that does not appear to have been given sufficient attention in the excellent review (perhaps because the older age literature has attended to it less than in general population studies), is that of relative binging vs spacing of drinks to obtain the same volume. At the lower weekly levels such as those recommended for older adults by NIAAA 5/4+ (M/W) drinks or (5 or 4 x 12 g = 60 or 40 g ethanol) is a good indicator of this intake variability. At the higher volume levels 8+ may separate spacers (or even drinkers) from bunched (or binge) drinking patterns (per the GQF measure used, however, in only one of the included studies: Satre et al. [53]). Some recommendation for a smaller set of items have noted the value of including maximum in any day (usually categorized).

3) LL 133-137 The lack of standardization – aim of a systematic review somewhat puts the cart before the hose, in the sense that the ultimate finding that there is very little standardization seems to motivate the review that finds this. The conclusions and Implications sections echo the hope for moving toward more standardization, but I think it might be acknowledges somewhere that different aims (as well as traditions and simple research group preferences) result in the variety of measures and definitions seen. The authors could note (relevant although not specific to assessing drinking patterns among older adults) that over the years there have been expert meetings and groups convened to discuss alcohol measurement and patterns, and sometimes to make some consensus recommendations. One meeting organized by Stockwell was in Freemantle AU, and led to reference 24. Another was at NIAAA (See Alcohol Clin Exp Res 22, 4S-14S & 52S-62S, 1998). A third was a conference organized by Room held at Skarpö, Sweden in 2000, resulting in a special edition of the J Substance Use (e.g., Dawson & Room, Toward agreement on ways to measure and report drinking patterns and alcohol-related problems in adult general population surveys: the Skarpö Conference overview. J Subst Abuse 12, 1-21, 2000. SMART [Ref 36] represents a more recent effort. I therefore feel that the conclusions regarding standardization might be tempered by acknowledging the many previous such efforts of groups of alcohol epidemiologists, which have thus far failed to fully achieve such a standardization of alcohol measures and pattern definitions for general population surveys and similarly by extension for the aging subgroup. However, the authors are commended for recognizing that patterns and guidelines could differ in the elder group, and that on guidelines there is no empirically backed international guideline (LL 542-543).

4) LL 483-484 An important reference that complements [134] is Rehm, et al. Assessment methods for alcohol consumption, prevalence of high risk drinking and harm: a sensitivity analysis. Int J Epidemiol 28, 219-224, 1999. Even though GQF was only used in one paper in the review, this proved superior to QF and weekly diary in capturing risky and harmful drinking volumes.

Reviewer #2: Dr. Tevik and collaborators reported in an elegant systematic review how different are the parameters used for the categorization/assessment of alcohol drinking among epidemiological studies. This paper raised an important question since the assessment of alcohol consumption is used for the diagnostic of alcohol use disorder, thus if studies/hospitals don’t use the same criteria and definitions the diagnostics could be under or overestimated. All the criteria used for the studies selection/inclusion were well thinking and organized. Authors also followed a recommended structure for systematic review (prism9). Data is well reported and clear in all tables throughout the manuscript. All important “side” points were mentioned, such as problems with stigma; underestimation of alcohol consumption during self-report; the population’s knowledge about the definitions of standard-drinking and the use of figures to clarify that during interviews. The limitations and strengths were also mentioned. My two suggestions are: 1) Flip the title: A systematic review of self-report measures used in epidemiological studies to assess alcohol consumption among older adults; 2) Although authors included the country of each study on table 3, would be also interesting if they keep that information on table 6, so the readers would have an idea about which are the criteria used in each country. Besides that, the study is timely, the methodology applied is sound, the authors provide clear models and hypothesis, and the findings are clearly embedded in a theoretical framework in the discussion section.

**********

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Reviewer #2: No

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PLoS One. 2021 Dec 16;16(12):e0261292. doi: 10.1371/journal.pone.0261292.r002

Author response to Decision Letter 0


17 Nov 2021

Academic Editor PLOS ONE

Petri Böckerman

Dear Dr Petri Böckerman,

Please find enclosed a copy of the manuscript “A systematic review of self-report measures used in epidemiological studies to assess alcohol consumption among older adults”. The article has not been published or submitted elsewhere. The authors have contributed to the conception, conduct and analyses of the study, and preparation of the manuscript according to the requirements of your journal and the Vancouver conversion, with no research misconduct.

We appreciated the review. The revision has now been carried out. The entire document with the review from the reviewers is copied below, and the response of the review is written in red. We are looking forward to receiving a response from you regarding our manuscript.

Sincerely yours,

Kjerstin Tevik

Sverre Bergh Geir Selbæk Aud Johannessen Anne-S. Helvik

Corresponding author

Kjerstin Tevik

Holemslykkjvegen 63

7224 Melhus

Telephone: +47 93039386

e-mail: kjerstin.e.tevik@ntnu.no

PONE-D-21-29079

Various self-report measures used in epidemiological studies to assess alcohol consumption among older adults – A systematic review

PLOS ONE

Dear Dr. Tevik,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

The revised version should address all concerns.0

Please submit your revised manuscript by Dec 03 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

• A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

• A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

• An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

The authors of the present systematic literature review agreed regarding methodological strategy, including for example inclusion/exclusion criteria and definitions and wrote the agreement down (in Norwegian) prior to study start. However, we do not have a fully written protocol in English, and thus, no protocol is attached to this resubmission.

We look forward to receiving your revised manuscript.

Kind regards,

Petri Böckerman

Academic Editor

PLOS ONE

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

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https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available. For more information about our data policy, please see http://journals.plos.org/plosone/s/data-availability.

Upon re-submitting your revised manuscript, please upload your study’s minimal underlying data set as either Supporting Information files or to a stable, public repository and include the relevant URLs, DOIs, or accession numbers within your revised cover letter. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. Any potentially identifying patient information must be fully anonymized.

Important: If there are ethical or legal restrictions to sharing your data publicly, please explain these restrictions in detail. Please see our guidelines for more information on what we consider unacceptable restrictions to publicly sharing data: http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. Note that it is not acceptable for the authors to be the sole named individuals responsible for ensuring data access.

We will update your Data Availability statement to reflect the information you provide in your cover letter.

Unfortunately, we do not have a minimal data set underlying the results described in our manuscript. The results presented in this systematic review are found in the six tables in the main manuscript and in the large supplemental table.

3. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

The reference list is reviewed to ensure that it is correct.

The reference list is changed. The following new references are included in the manuscript and in the reference list:

Azagba, S., Shan, L., Latham, K., & Manzione, L. (2020). Trends in Binge and Heavy Drinking among Adults in the United States, 2011-2017. Subst Use Misuse, 55(6), 990-997. doi:10.1080/10826084.2020.1717538

Dawson, D. A., & Room, R. (2000). Towards agreement on ways to measure and report drinking patterns and alcohol-related problems in adult general population surveys: the Skarpö conference overview. J Subst Abuse, 12(1-2), 1-21. doi:10.1016/s0899-3289(00)00037-7

Greenfield, T. K. (1998). Evaluating competing models of alcohol-related harm. Alcohol Clin Exp Res, 22(2 Suppl), 52s-62s. doi:10.1097/00000374-199802001-00008

Greenfield, T. K., & Kerr, W. C. (2008). Alcohol measurement methodology in epidemiology: recent advances and opportunities. Addiction, 103(7), 1082-1099. doi:10.1111/j.1360-0443.2008.02197.x

Liu, W., Redmond, E. M., Morrow, D., & Cullen, J. P. (2011). Differential effects of daily-moderate versus weekend-binge alcohol consumption on atherosclerotic plaque development in mice. Atherosclerosis, 219(2), 448-454. doi:10.1016/j.atherosclerosis.2011.08.034

Midanik, L. T. (1994). Comparing usual quantity/frequency and graduated frequency scales to assess yearly alcohol consumption: results from the 1990 US National Alcohol Survey. Addiction, 89(4), 407-412. doi:10.1111/j.1360-0443.1994.tb00914.x

National Institute on Alcohol Abuse and Alcoholism. What Is Binge Drinking? USA 2021.

Available from: Binge Drinking | National Institute on Alcohol Abuse and Alcoholism (NIAAA) (nih.gov)

Piano, M. R., Mazzuco, A., Kang, M., & Phillips, S. A. (2017). Cardiovascular Consequences of Binge Drinking: An Integrative Review with Implications for Advocacy, Policy, and Research. Alcohol Clin Exp Res, 41(3), 487-496. doi:10.1111/acer.13329

Rehm, J. (1998). Measuring quantity, frequency, and volume of drinking. Alcohol Clin Exp Res, 22(2 Suppl), 4s-14s. doi:10.1097/00000374-199802001-00002

Rehm, J., Greenfield, T. K., Walsh, G., Xie, X., Robson, L., & Single, E. (1999). Assessment methods for alcohol consumption, prevalence of high risk drinking and harm: a sensitivity analysis. Int J Epidemiol, 28(2), 219-224. doi:10.1093/ije/28.2.219

Stockwell, T., Zhao, J., Chikritzhs, T., & Greenfield, T. K. (2008). What did you drink yesterday? Public health relevance of a recent recall method used in the 2004 Australian National Drug Strategy Household Survey. Addiction, 103(6), 919-928. doi:10.1111/j.1360-0443.2008.02219.x

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

________________________________________

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

________________________________________

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

________________________________________

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

________________________________________

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: This is an important systematic review of alcohol consumption and pattern measurement for epidemiological studies of older adults (65 plus years old). The review including 105 studies winnowed from many more in a comprehensive search found wide variation in every aspect of measurement strategy and importantly alcohol use pattern definitions. Basic variance was also found in drink size included, duration of measurement and type of measure, i.e., QF, BSQF, GQF Weekly diary, Last occasion. Conclusions and implications proposed by the authors emphasized the need for standardization. The manuscript is very well written and provides a wealth of tabular material.

I have a number of comments and suggestions for improvement of the paper:

1) LL 104-113 The list of measurement approaches is fine but there is here and in many places following an overuse of secondary references 24 and 36, (WHO international measurement guidelines and SMART, respectively). While I have nothing against these citations based essentially of expert groups, some other citations could help reduce the over-reliance one example being Greenfield & Kerr, Alcohol measurement methodology in epidemiology: recent advances and opportunities- Addiction, 2008. It would be worth emphasizing that last drinking occasion (and yesterday drinking especially) typically have specialized uses for better calibrating longer duration measures such as 12-month measures (e.g., Stockwell et al. What did you drink yesterday? Etc. Addiction, 2008).

Thanks for the valuable suggestion of new articles that could be used. We also appreciate the suggestion about emphasizing the Yesterday method. New text is included which can be read from page 8 and line 186 (Revised Manuscript with Track Changes):

“Especially when linking alcohol consumption with alcohol-related consequences a recall period of at least 12 months is of importance (Dawson & Room, 2000). Shorter recall period is more prone to miss intermittent heavy drinkers (Greenfield & Kerr, 2008). Seasonal variability will also be minimized with 12 months recall period (Greenfield & Kerr, 2008).

The “Yesterday method” is included in the introduction part from page 6 and line 134:

“….the Yesterday method which asks questions about beverage types and sizes of drinks consumed the day before the interview (Stockwell, Zhao, Chikritzhs, & Greenfield, 2008).

The advantage of the “Yesterday method” is included from page 7 and line 151:

“The Yesterday method may have some advantages in groups where daily drinking is common (Stockwell et al., 2008). An Australian study of the general population found the Yesterday method to minimize under-reporting of overall alcohol consumption compared to the QF and GQF questionnaires, and recommended the Yesterday method as a supplement to the QF and GQF questionnaires (Stockwell et al., 2008)”.

In the discussion part the following has been included as now reads from page 73 and line 585:

“Participants are likely to report drink sizes they actually consume which differ from the size of standard drinks (Greenfield & Kerr, 2008)”.

2) I commend the authors for identifying LL 59-64 identifying perennial problems of measurement and pattern definition. A type of pattern definition that does not appear to have been given sufficient attention in the excellent review (perhaps because the older age literature has attended to it less than in general population studies), is that of relative binging vs spacing of drinks to obtain the same volume. At the lower weekly levels such as those recommended for older adults by NIAAA 5/4+ (M/W) drinks or (5 or 4 x 12 g = 60 or 40 g ethanol) is a good indicator of this intake variability. At the higher volume levels 8+ may separate spacers (or even drinkers) from bunched (or binge) drinking patterns (per the GQF measure used, however, in only one of the included studies: Satre et al. [53]). Some recommendation for a smaller set of items have noted the value of including maximum in any day (usually categorized).

Thanks for making us aware of the drinking pattern binging versus spacing of drinks. In the introduction part we have added the following which can be read from page 5 and line 95:

“Due to the greater sensitivity to health risk of alcohol among older adults, the prevalence of binge drinking in older age is of interest (Azagba, Shan, Latham, & Manzione, 2020; NIAAA, 2021). NIAAA defines binge drinking as consuming 5 or more drinks among men and 4 or more drinks among women in about two hours (NIAAA, 2021). Assessment of binge drinking is relevant in alcohol surveys of older adults. Furthermore, it may be relevant to distinguish between binging (infrequent heavy) versus spacing (steady daily) drinking patterns (Greenfield, 1998), and especially among older adults drinking higher weekly volume (i.e., 8 drinks or more). These opposite drinking patterns can produce the same weekly alcohol volume (Greenfield, 1998) but binge drinking may lead to higher risk of negative health consequences than steady daily drinking (Liu, Redmond, Morrow, & Cullen, 2011; Piano, Mazzuco, Kang, & Phillips, 2017). In alcohol surveys of older adults, it may also be relevant to ask about the maximum number of drinks consumed in any day, the frequency of subjective drunkenness, drinking context and duration of drinking occasions (Dawson & Room, 2000; Greenfield, 1998; Greenfield & Kerr, 2008)”.

3) LL 133-137 The lack of standardization – aim of a systematic review somewhat puts the cart before the hose, in the sense that the ultimate finding that there is very little standardization seems to motivate the review that finds this. The conclusions and Implications sections echo the hope for moving toward more standardization, but I think it might be acknowledges somewhere that different aims (as well as traditions and simple research group preferences) result in the variety of measures and definitions seen. The authors could note (relevant although not specific to assessing drinking patterns among older adults) that over the years there have been expert meetings and groups convened to discuss alcohol measurement and patterns, and sometimes to make some consensus recommendations. One meeting organized by Stockwell was in Freemantle AU, and led to reference 24. Another was at NIAAA (See Alcohol Clin Exp Res 22, 4S-14S & 52S-62S, 1998). A third was a conference organized by Room held at Skarpö, Sweden in 2000, resulting in a special edition of the J Substance Use (e.g., Dawson & Room, Toward agreement on ways to measure and report drinking patterns and alcohol-related problems in adult general population surveys: the Skarpö Conference overview. J Subst Abuse 12, 1-21, 2000. SMART [Ref 36] represents a more recent effort. I therefore feel that the conclusions regarding standardization might be tempered by acknowledging the many previous such efforts of groups of alcohol epidemiologists, which have thus far failed to fully achieve such a standardization of alcohol measures and pattern definitions for general population surveys and similarly by extension for the aging subgroup. However, the authors are commended for recognizing that patterns and guidelines could differ in the elder group, and that on guidelines there is no empirically backed international guideline (LL 542-543).

We really appreciate that the reviewer has made us aware of the number of expert groups and meetings that have led to several published studies. These expert groups are cited both in the introduction and discussion part. Please read from page 5 and line 110:

“During the last decades there have been several international expert groups and meetings convened to discuss alcohol measurement and drinking patterns in the general adult general population (Dawson & Room, 2000; Greenfield, 1998; Moskalewicz & Sieroslawski, 2010; Rehm, 1998; WHO, 2000). The aim of these expert groups has been to give an overview of the current knowledge on measuring frequency, quantity, and volume of drinking, and make consensus recommendations.

From page 6 and 138 the following is included:

The QF questionnaire has been widely used to measure alcohol consumption since the early 1950s (Rehm, 1998). The GQF and the BSQF questionnaires measure both volume of alcohol and patterns of drinking, have been used less, but have an advantage over the QF questionnaire which only measure the volume (Rehm, 1998). Previous studies have reported higher estimates of volume and prevalence of high-risk drinking using GQF compared to QF questionnaire and weekly drinking measures (Midanik, 1994; Rehm et al., 1999). A variation of the QF questionnaire (the ‘period-specific normal week’ assessment instrument) includes questions about drinking variability and asks about alcohol consumption during a normal week the last year (Rehm, 1998). The alcohol consumption during the week is separated between weekdays and on weekend (i.e., Friday, Saturday, and Sunday) (Rehm, 1998). This assessment instrument is relevant to use when exploring groups where weekend drinking may vary substantially from drinking during the week (Rehm, 1998). The Yesterday method may have some advantages in groups where daily drinking is common (Stockwell et al., 2008). An Australian study of the general population found the Yesterday method to minimize under-reporting of overall alcohol consumption compared to QF and GQF questionnaires, and recommended the Yesterday method as a supplement to the QF and GQF questionnaires (Stockwell et al., 2008).

When it comes to questions about drinking frequency it is preferable to ask in terms of prespecified frequency range categories such as twice a day, daily, 5-6 times a week/nearly every day, 3-4 times a week, 1-2 times a week, 2-3 times a month, once a month, 6-11 times a year, and 1-5 times a year (Dawson & Room, 2000). Furthermore, it is recommended to ask the question in terms of number of drinks per day and not per occasion, since a day may be a more ‘objective’ measure (Dawson & Room, 2000). Continued drinking past midnight should be defined in the day (Dawson & Room, 2000).

The introduction to the aim of the study is changed and can be read from page 8 and line 192:

“Even though there have been several previous efforts regarding the standardization of methods to assess, define, and measure alcohol consumption in the adult general population (Dawson & Room, 2000; Greenfield, 1998; Moskalewicz & Sieroslawski, 2010; Rehm, 1998; WHO, 2000), the standardization has so far almost been absent for the aged population. It is important to increase the attention around the need for standardized methodology in alcohol surveys in the aged population. Thus, the aim of this study is to systematically review methods used in epidemiological studies to define drinking patterns and measure alcohol consumption among older adults”.

Some new elements regarding drinking context are included in the discussion section from page 74 and line 607:

“In alcohol surveys, it is recommended to ask about the drinking context, which focuses on drinking with meals or not, drinking alone or not (e.g., with family members, friends, work colleagues, etc.), drinking on a weekday or on a weekend, and drinking in public (bars and restaurants) or at home (Dawson & Room, 2000; Moskalewicz & Sieroslawski, 2010; WHO, 2000).

We acknowledge the expert groups under “Implications” in the discussion part (see page 75 and from line 616):

“We want to acknowledge the previous expert groups and alcohol epidemiologists for their effort to standardize the alcohol methodology in adult general population surveys (Dawson & Room, 2000; Greenfield, 1998; Moskalewicz & Sieroslawski, 2010; Rehm, 1998; WHO, 2000). However, it seems thus far that they have failed to fully achieve a standardization, and especially for the subgroup of the aged population. Different aims, traditions, and simple research group preferences may have resulted in the variety of measures and definitions found in this systematic review… Methodological studies are needed to study the reliability and validity of different assessment instrument and definitions (Rehm et al., 1999).

In the conclusion we also refer to the expert groups and the alcohol epidemiologists (see page 75 and line 632):

“Several previous expert groups and alcohol epidemiologists have had an aim of standardizing the alcohol methodology in adult general population surveys. However, so far it seems that they have failed to fully achieve a standardization, and especially in the subgroup of the aged population….Different aims, traditions, and simple research group preferences may have resulted in the variety of measures and definitions found in this systematic review”:

4) LL 483-484 An important reference that complements [134] is Rehm, et al. Assessment methods for alcohol consumption, prevalence of high risk drinking and harm: a sensitivity analysis. Int J Epidemiol 28, 219-224, 1999. Even though GQF was only used in one paper in the review, this proved superior to QF and weekly diary in capturing risky and harmful drinking volumes.

Thanks for the suggestion of this important reference. In the discussion the following is included (see page 69 and line 492):

“A previous study by Rehm et al. (Rehm et al., 1999) has also shown that the GQF questionnaire was superior to QF questionnaire and weekly diary in capturing risky and harmful drinking volumes”.

Reviewer #2: Dr. Tevik and collaborators reported in an elegant systematic review how different are the parameters used for the categorization/assessment of alcohol drinking among epidemiological studies. This paper raised an important question since the assessment of alcohol consumption is used for the diagnostic of alcohol use disorder, thus if studies/hospitals don’t use the same criteria and definitions the diagnostics could be under or overestimated. All the criteria used for the studies selection/inclusion were well thinking and organized. Authors also followed a recommended structure for systematic review (prism9). Data is well reported and clear in all tables throughout the manuscript. All important “side” points were mentioned, such as problems with stigma; underestimation of alcohol consumption during self-report; the population’s knowledge about the definitions of standard-drinking and the use of figures to clarify that during interviews. The limitations and strengths were also mentioned. My two suggestions are:

1) Flip the title: A systematic review of self-report measures used in epidemiological studies to assess alcohol consumption among older adults;

Thanks for the suggestion. We have changed the title (see page 1, line 1).

2) Although authors included the country of each study on table 3, would be also interesting if they keep that information on table 6, so the readers would have an idea about which are the criteria used in each country.

We agree, and the country is included for each study in Table 3 (page 43).

Besides that, the study is timely, the methodology applied is sound, the authors provide clear models and hypothesis, and the findings are clearly embedded in a theoretical framework in the discussion section.

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References

Azagba, S., Shan, L., Latham, K., & Manzione, L. (2020). Trends in Binge and Heavy Drinking among Adults in the United States, 2011-2017. Subst Use Misuse, 55(6), 990-997. doi:10.1080/10826084.2020.1717538

Dawson, D. A., & Room, R. (2000). Towards agreement on ways to measure and report drinking patterns and alcohol-related problems in adult general population surveys: the Skarpö conference overview. J Subst Abuse, 12(1-2), 1-21. doi:10.1016/s0899-3289(00)00037-7

Greenfield, T. K. (1998). Evaluating competing models of alcohol-related harm. Alcohol Clin Exp Res, 22(2 Suppl), 52s-62s. doi:10.1097/00000374-199802001-00008

Greenfield, T. K., & Kerr, W. C. (2008). Alcohol measurement methodology in epidemiology: recent advances and opportunities. Addiction, 103(7), 1082-1099. doi:10.1111/j.1360-0443.2008.02197.x

Liu, W., Redmond, E. M., Morrow, D., & Cullen, J. P. (2011). Differential effects of daily-moderate versus weekend-binge alcohol consumption on atherosclerotic plaque development in mice. Atherosclerosis, 219(2), 448-454. doi:10.1016/j.atherosclerosis.2011.08.034

Midanik, L. T. (1994). Comparing usual quantity/frequency and graduated frequency scales to assess yearly alcohol consumption: results from the 1990 US National Alcohol Survey. Addiction, 89(4), 407-412. doi:10.1111/j.1360-0443.1994.tb00914.x

Moskalewicz J, Sieroslawski J. Drinking poulation surveys – Guidance document for

standardized approach. Final report prepared for the project Standardizing Measurement of Alcohol-Related-Troubles – SMART. Institute of Psychiatry and Neurology, Warsaw 2010. Available from: https://www.drugsandalcohol.ie/15682/1/EU_Comm_Drinking_population_surveys.pdf

National Institute on Alcohol Abuse and Alcoholism. What Is Binge Drinking? USA 2021.

Available from: Binge Drinking | National Institute on Alcohol Abuse and Alcoholism (NIAAA) (nih.gov)

Piano, M. R., Mazzuco, A., Kang, M., & Phillips, S. A. (2017). Cardiovascular Consequences of Binge Drinking: An Integrative Review with Implications for Advocacy, Policy, and Research. Alcohol Clin Exp Res, 41(3), 487-496. doi:10.1111/acer.13329

Rehm, J. (1998). Measuring quantity, frequency, and volume of drinking. Alcohol Clin Exp Res, 22(2 Suppl), 4s-14s. doi:10.1097/00000374-199802001-00002

Rehm, J., Greenfield, T. K., Walsh, G., Xie, X., Robson, L., & Single, E. (1999). Assessment methods for alcohol consumption, prevalence of high risk drinking and harm: a sensitivity analysis. Int J Epidemiol, 28(2), 219-224. doi:10.1093/ije/28.2.219

Stockwell, T., Zhao, J., Chikritzhs, T., & Greenfield, T. K. (2008). What did you drink yesterday? Public health relevance of a recent recall method used in the 2004 Australian National Drug Strategy Household Survey. Addiction, 103(6), 919-928. doi:10.1111/j.1360-0443.2008.02219.x

World Health Organization. International guide for monitoring alcohol consumption and

related harm. Department of Mental Health and Substance Dependence,

Noncommunicable Diseases and Mental Health Cluster, World Health Organization, 2000. WHO/MSD/MSB/00.4. Available from: https://apps.who.int/iris/handle/10665/66529

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Decision Letter 1

Petri Böckerman

29 Nov 2021

A systematic review of self-report measures used in epidemiological studies to assess alcohol consumption among older adults

PONE-D-21-29079R1

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Acceptance letter

Petri Böckerman

3 Dec 2021

PONE-D-21-29079R1

A systematic review of self-report measures used in epidemiological studies to assess alcohol consumption among older adults

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