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BMJ Open logoLink to BMJ Open
. 2016 Oct 10;6(10):e012182. doi: 10.1136/bmjopen-2016-012182

Psychotropic drug use and alcohol consumption among older adults in Germany: results of the German Health Interview and Examination Survey for Adults 2008–2011

Yong Du 1,2, Ingrid-Katharina Wolf 1,2, Hildtraud Knopf 1,2
PMCID: PMC5073532  PMID: 27855095

Abstract

Objectives

The use and combined use of psychotropic drugs and alcohol among older adults is a growing public health concern and should be constantly monitored. Relevant studies are scarce in Germany. Using data of the most recent national health survey, we analyse prevalence and correlates of psychotropic drug and alcohol use among this population.

Methods

Study participants were people aged 60–79 years (N=2508) of the German Health Interview and Examination Survey for Adults 2008–2011. Medicines used during the last 7 days were documented. Psychotropic drugs were defined as medicines acting on the nervous system (ATC code N00) excluding anaesthetics (N01), analgesics/antipyretics (N02B), but including opiate codeines used as antitussives (R05D). Alcohol consumption in the preceding 12 months was measured by frequency (drinking any alcohol-containing beverages at least once a week/a day) and quantity (alcohol consumed in grams/day; cut-offs: 10/20 g/day for women/men defining moderate and risky drinking). SPSS complex sample module was used for analysis.

Results

21.4% of study participants use psychotropic medications, 66.9% consume alcohol moderately and 17.0% riskily, 51.0% drink alcohol at least once a week and 18.4% daily, 2.8% use psychotropic drugs combined with daily alcohol drinking. Among psychotropic drug users, 62.7% consume alcohol moderately, 14.2% riskily. The most frequently used psychotropic medications are antidepressants (7.9%) and antidementia (4.2%). Factors associated with a higher rate of psychotropic drug use are female sex, worse health status, certified disability and polypharmacy. Risky alcohol consumption is positively associated with male sex, smoking, upper social class, better health status, having no disability and not living alone.

Conclusions

Despite the high risk of synergetic effects of psychotropic drugs and alcohol, a substantial part of older psychotropic drug users consume alcohol riskily and daily. Health professionals should talk about the additional health risks of alcohol consumption when prescribing psychotropic drugs to older adults.

Keywords: psychotropic drugs, alcohol, national health survey, older adults, Germany


Strengths and limitations of this study.

  • A large sample of concurrent data on medication use, sociodemographic and health characteristics allows analyses of psychotropic drug and alcohol use on a population representative level.

  • The short observation period (7 days) minimises recall bias concerning medication use, and quality control is ensured by checking original packages.

  • Alcohol consumption was measured by frequency and quantity.

  • The use of psychotropic drugs is likely to be underestimated as people who are institutionalised and those with severe disease and psychiatric disorders (including cognitive impairments, depression, dementia, etc) are less likely to participate in national health surveys.

  • Under-reporting of alcohol use is possible as people tend to answer questions concerning intoxicating substances according to social desirability.

Introduction

Psychotropic drugs such as antidepressants, sedatives or hypnotics are characterised by their impact on the central nervous system (CNS) and influence perception, mood, consciousness or behaviour. They are established clinical treatments for a variety of neurological and mental diseases but also harbour risks of side effects and the development of dependency. Older adults, due to the loss of close persons, social networks or autonomy, may suffer from emotional and mental disorders and are a major group of psychotropic drug users.1 2 Nevertheless, the use of psychotropic medications by older adults should be considered carefully. Older adults are particularly vulnerable to drug-related adverse health consequences due to significant changes in pharmacokinetic and pharmacodynamic properties of drugs related to ageing processes.3 Additionally, an age-related increase in multimorbidity and polypharmacy among older adults aggravates those risks.4

Alcohol is a substance with psychotropic characteristics and also widely consumed by older adults. Sharing the same metabolic enzymes with psychotropic drugs, alcohol is broken down mainly in the liver.5 The intake of alcohol alters the activity of the metabolic enzymes and may result in pharmacokinetic and pharmacodynamic interactions with psychotropic drugs.5 Combined use of psychotropic drugs with alcohol, even in small amounts, can produce synergistic effects and therefore may be harmful and risky for older adults.5 6 For example, alcohol enhances the sedative effects of frequently used antidepressants, benzodiazepines and sleep medications,5 increasing greatly the risks of falls and hip fractures.7 The use of alcohol and psychotropic drugs among older adults, particularly combined use of both, constitutes a growing public health concern and should be constantly monitored and carefully reviewed over time.8

Psychotropic drug use and alcohol consumption have been investigated previously in the general adult population or in studies regarding alcohol-interactive medication use.9–12 Only a few studies investigated specifically the use of psychotropic drugs and alcohol among older adults.12–14 Our own previous study, which also investigated the use of psychotropic drugs and alcohol among older adults, was conducted using data of a national health survey from 1998.14 An update is needed, given significant changes in demographics, health behaviour as well as disease profiles over the last decade.

With the recent data of the German Health Interview and Examination Survey for Adults 2008–2011, we analyse prevalence and correlates of psychotropic medicine use and alcohol consumption as well as the concomitant use of both among older people.

Methods

Study design and participants

As database for the present study served the German Health Interview and Examination Survey for Adults, wave 1 (DEGS1), which was conducted by the Robert Koch Institute from November 2008 to December 2011. DEGS1 aims to provide representative data on the health of adults aged 18–79 years living in Germany. Details of the study design, sampling strategy and protocol have been published elsewhere.15 16 Briefly, a two-stage, probability-cluster sampling procedure was applied. A sample of 180 primary sample units, representative of municipality sizes and structures in Germany, were selected. In the second stage, random samples were drawn from local population registries stratified by age and sex. The final sample aged 18–79 years with completed interview and examination data amounted to 7115 adults.15 16

For the present analyses, only participants aged 60–79 years with complete interview and examination data were included, resulting in a total of 2508 participants (1277 women, 1231 men) (table 1).

Table 1.

Study population, prevalence of psychotropic drug use and alcohol consumption among adults aged 60– 79 years by sociodemographic and health-related factors: German Health Interview and Examination Survey for Adults (DEGS1) 2008–2011

  Study population
Psychotropic drug use (n=518)
Alcohol consumption—by frequency
Alcohol consumption—by quantity
          At least once a week (n=1295)
At least once a day (n=468)
Moderate drinking† (n=1659)
Risky drinking‡ (n=459)
N Per cent Per cent 95% CI Per cent 95% CI Per cent 95% CI Per cent 95% CI Per cent 95% CI
Total 2508 100.0 21.4 19.3 to 23.7 51.0 48.1 to 53.9 18.4 16.3 to 20.7 66.9 64.1 to 69.5 17.0 14.9 to 19.2
Sex
 Men 1231 46.9 15.9 13.2 to 18.9 68.4** 64.8 to 71.8 29.7** 26.2 to 33.4 67.3 63.7 to 70.7 23.9** 20.7 to 27.3
 Women 1277 53.1 26.3** 23.2 to 29.7 35.2 31.8 to 38.9 8.1 6.4 to 10.2 66.5 62.6 to 70.2 10.9 9.0 to 13.2
Age group, years
 60–69 1398 52.5 18.1 15.5 to 21.1 52.9 49.1 to 56.7 18.9 16.1 to 22.0 64.4 61.0 to 67.7 18.8 16.0 to 22.0
 70–79 1110 47.5 25.1* 21.4 to 29.1 48.8 44.9 to 52.7 17.8 15.1 to 21.0 69.7* 65.5 to 73.6 14.8 12.1 to 18.0
Region of residence§
 Northern Germany 644 25.8 19.4 15.4 to 24.1 42.4 36.6 to 48.3 14.5 11.0 to 18.8 66.2 60.7 to 71.3 16.8 12.6 to 22.0
 Central Germany 1141 41.3 22.0 19.0 to 25.3 49.1 45.2 to 53.0 16.4 13.6 to 19.7 69.1 65.5 to 72.5 12.8 10.8 to 15.2
 Southern Germany 723 32.9 22.3 18.4 to 26.8 60.2** 55.7 to 64.6 24.0* 20.0 to 28.4 64.7 59.1 to 69.9 22.3** 18.3 to 26.9
Social status
 Lower 436 24.1 25.4* 20.6 to 30.9 39.4 33.3 to 45.8 16.2 12.1 to 21.4 65.2 58.4 to 71.4 12.8 9.2 to 17.4
 Middle 1489 59.3 21.4 18.6 to 24.4 51.3 47.5 to 55.0 17.9 15.3 to 20.7 67.8 64.5 to 70.8 16.0 13.6 to 18.7
 Upper 562 16.5 15.3 12.0 to 19.4 65.7** 59.8 to 71.1 23.3 19.2 to 27.9 67.2 61.8 to 72.2 26.3** 21.6 to 31.7
Living alone
 Yes 507 21.3 27.7* 22.7 to 33.4 36.0 29.8 to 42.7 9.9 7.2 to 13.5 62.5 56.3 to 68.3 12.0 8.9 to 16.0
 No 1987 78.7 19.6 17.4 to 22.2 55.0** 51.9 to 58.1 20.6** 18.1 to 23.4 68.3 65.4 to 71.1 18.2** 16.0 to 20.7
Smoking
 Smoker 302 12.5 17.7 12.7 to 24.0 53.0 45.1 to 60.7 30.4** 23.7 to 38.0 55.5** 48.4 to 62.5 26.2** 19.9 to 33.7
 Ex-smoker 927 36.3 21.0 17.6 to 24.9 60.7** 56.0 to 65.1 21.7 18.3 to 25.7 66.1 61.7 to 70.2 21.4 17.9 to 25.4
 Never-smoker 1265 51.2 22.1 19.0 to 25.6 44.2 40.4 to 48.1 13.3 11.0 to 16.0 70.6 66.5 to 74.4 11.7 9.7 to 14.1
Health status
 Better 1503 58.2 13.1 11.0 to 15.5 55.7** 52.0 to 59.4 20.9* 18.1 to 24.0 67.1 63.4 to 70.6 19.8** 16.9 to 23.1
 Worse 986 41.8 32.5** 28.7 to 36.6 44.3 40.2 to 48.5 14.8 12.2 to 17.8 66.6 62.7 to 70.3 13.0 10.9 to 15.5
Certified disability
 Yes 649 29.1 30.6** 26.0 to 35.5 47.8 42.1 to 53.6 14.8 11.6 to 18.7 66.9 62.2 to 71.3 13.5 10.4 to 17.4
 No 1801 70.9 17.2 15.1 to 19.6 52.4 49.2 to 55.6 19.8* 17.4 to 22.4 66.9 63.8 to 69.8 18.4 16.2 to 20.9
Polypharmacy¶
 Yes 771 30.7 37.8** 33.8 to 42.1 46.5 42.4 to 50.7 17.6 14.8 to 20.8 67.7 63.7 to 71.4 14.5 12.2 to 17.3
 No 1730 69.3 9.4 7.5 to 11.8 54.3** 50.7 to 57.9 19.1 16.2 to 22.3 66.5 63.0 to 69.9 18.7* 16.0 to 21.8

Missing values for: psychotropic drug use (n=7), alcohol use at least once a week and once a day (n=135), moderate and risky drinking (n=46), social status (n=16), living alone (n=14), smoking (n=14), health status (n=19), certified disability (n=58), polypharmacy (n=7).

*p<0.05 or **p<0.01, Rao-Scott second-order χ2 test; figures in bold denote statistical significance.

†Moderate drinking: average daily consumption of alcohol between >0 and<10 g for women, and between >0 and<20 g for men.

‡Risky drinking: average daily consumption of alcohol≥10 g for women, and≥20 g for men.

§Regions: Northern Germany (federal states: Berlin, Brandenburg, Bremen, Hamburg, Lower Saxony, Mecklenburg-Vorpommern, Schleswig-Holstein); Central Germany (Hesse, North Rhine-Westphalia, Saxony, Saxony-Anhalt, Thuringia), Southern Germany (Baden-Württemberg, Bavaria, Rhineland-Palatinate, Saarland).

¶Polypharmacy: use of five or more drugs including prescribed and OTC drugs in the last 7 days.

All percentages and 95% CIs were weighted according to the German national population of 31 December 2010.

DEGS1 was approved by the Federal and State Commissioners for Data Protection and the Charité-Universitätsmedizin Berlin ethics committee (number EA2/047/08). Survey participants provided written informed consent prior to interviews and examinations.

Data collection

Data collection in DEGS1 was conducted via self-administered questionnaires, standardised physician-administered computer-assisted personal interviews (CAPI), standardised personal interviews on medicine usage, medical examinations, physiological measurements and laboratory tests.15

Self-administered questionnaires were used to collect data on sociodemographic characteristics (age, sex, region of residence), individual information on household size (number of persons living in household), income, profession and educational attainment, health-related behaviour (such as tobacco use), dietary and nutritional habits (including alcohol consumption), self-rated health status and officially certified disability.15

Detailed information on medication use was recorded by trained health professionals. In the invitation letter, participants were asked to bring the original packages of all medications—prescribed and Over-The-Counter (OTC) products—used during the past 7 days to the examination site for the purpose of documentation and verification. This permitted automated recording of unique product identifiers and drug coding according to the WHO ‘Anatomical Therapeutic Chemical’ (ATC) classification system.17

Defining psychotropic drug use and measuring alcohol consumption

In the present study, we included psychotropic drugs belonging to the nervous system class (ATC code N00) as well as opiates used as antitussives (ATC code R05DA) and aspirin–caffeine combination preparations (ATC code N02BA71) considering their CNS effects.14 We excluded other analgesics and antipyretics such as aspirin and paracetamol (ATC code N02B), local anaesthetics (ATC code N01B), homeopathic drugs of the ATC class N00 and drugs with indistinct active ingredients.14 Psychotropic drugs with herbal active ingredients were considered and coded separately under specific subgroups.

Alcohol consumption during the preceding 12 months was recorded via a standardised food-frequency questionnaire. We asked each survey participant ‘How often have you taken these alcohol-containing beverages over the last 12 months?’ differentiating according to the type of alcoholic beverages (namely ‘beer’, ‘wine, champagne, fruit wine’, ‘cocktail and other alcohol-containing mixtures’ and ‘spirits’). Eleven possible answer choices were provided ranging from ‘never’ to ‘more than five times daily’. Based on frequency of alcohol consumption, participants were classified as ‘at least once a week’ (‘one to two times a week’, ‘three to four times a week’, ‘five to six times a week’, ‘once daily’, to ‘more than five times daily’)—or ‘daily’ (‘once daily’, ‘two times daily’, ‘three times daily’, ‘four to five times daily’, ‘more than five times daily’) alcohol users.

For each consumed alcohol-containing beverage, the estimated volume (for beverages with high percentage of alcohol, this would be gauged to the nearest 2 cL) was recorded. The mean amount of alcohol consumed every day (grams per day) was computed for each survey participant by multiplying the frequency and amount of alcohol in grams contained in the consumed drinks according to methods previously described.18 Internationally, limits for risky alcohol consumption vary widely and do not differentiate according to age.19 In Germany, the threshold for risky drinking is set at ≥10–12 g/day of alcohol for women and ≥20–24 g/day for men.20 21 Considering our study participants were 60 years and older—and in the absence of age-specific limits—we adopted the lower limits of ≥10 g/day for women and ≥20 g/day for men to classify risky drinking.14 Moderate drinking was then defined as consumption of alcohol between >0 and <10 g/day for women, and between >0 and <20 g/day for men.

Covariables

Sociodemographic variables included sex, age and region of residence, social status and household size. Age groups included were 60–69 and 70–79 years. Regarding the region of residence, we considered the possible geographical differences in alcohol consumption among people in Germany and grouped the regions into three areas with each including several federal states: Northern Germany (Berlin, Brandenburg, Bremen, Hamburg, Lower Saxony, Mecklenburg-Vorpommern and Schleswig-Holstein); Central Germany (Hesse, North Rhine-Westphalia, Saxony, Saxony-Anhalt and Thuringia) and Southern Germany (Baden-Württemberg, Bavaria, Rhineland-Palatinate and Saarland). Socioeconomic status (SES) was classified as lower, middle and upper using an established index, including information on education, professional status and household income.22 Household size was categorised as living alone if only one single person was reported in a household.

Health-related variables included smoking status, self-perceived health status, having a certified disability and polypharmacy. Smoking status was assessed using four categories, namely ‘yes, daily’, ‘yes, occasionally’, ‘ex-smoker’ and ‘never smoker’. For the present analyses, we classified smokers as those who answered ‘yes, occasionally’ and ‘yes, daily’, while the other two categories remained unchanged. Information on self-perceived health status was also collected via self-administered questionnaires. The possible five answer choices were dichotomised as ‘better’ (very good or good) and ‘worse’ (fair, bad or very bad). Additionally, people were asked, if they had an officially certified disability (yes/no). Polypharmacy was assumed if five or more medicines (prescription and/or OTC) were used in the past 7 days. Additionally, for the purpose of conducting sensitivity analyses, we defined polypharmacy by (1) counting the number of prescription drugs only and (2) excluding psychotropic drugs.

Statistical analyses

All statistical analyses were performed using SPSS statistical software (V.20.0, SPSS, Chicago, Illinois, USA). In order to adjust for sample clustering effects, the SPSS complex samples module was used for all analyses. Sampling weights were used to correct deviations in the sample from the structure of the German general population of 31 December 2010 with respect to age, sex, region of residence, type of municipality, nationality and educational level.16

Descriptive statistics were used to examine characteristics of the study population. Weighted prevalence rates of psychotropic drug use, alcohol consumption and combined use of both substances were estimated and stratified according to above described covariables. Differences in the prevalence estimates between subgroups were tested by second-order Rao-Scott χ2 tests. ORs and 95% CIs were derived from multivariable logistic regression models with psychotropic drug use, alcohol consumption and combined use of both substances as dependent variables and all covariables as predictive variables. We also looked at the association of body mass index (BMI) and sports activities with psychotropic drug use and alcohol consumption. We repeated the regression analyses adding BMI (<25, 25–30, ≥30 kg/m2) and sports activities (no sports,<2 hours/week and ≥2 hours/week in the past 3 months) in models. Both were not significantly associated with psychotropic drug use—overall and in major subgroups—and alcohol consumption (data not shown). For each variable, weighted proportion and unweighted n depict the number of participants with complete information. The number of persons with missing values was explicitly stated for each variable with a range of 0.3% (n=7) for psychotropic drug use, 1.8% (n=48) for risky alcohol drinking, to 5.4% (n=135) for daily alcohol drinking. Persons with missing values were excluded from the analyses, with pairwise deletion for descriptive and listwise deletion for multivariable analyses. A probability level for statistically significant group differences was considered at p<0.05 based on two-sided tests.

Results

Our study includes 2508 people aged 60–79 years, with an almost equal proportion of women and men. Half of our study participants are never-smokers, one-quarter resides in Northern Germany and every fourth has a lower SES. Nearly 60% of the participants perceive their health status as ‘better’, about 30% report having a certified disability or being exposed to polypharmacy and about 20% of older adults live alone (table 1).

Overall, 21.4% of all study participants use at least one psychotropic medication, 66.9% consume alcohol moderately and 17.0% riskily. About 51.0% of older adults drink alcohol at least once a week, while 18.4% are daily alcohol consumers (table 1).

Stratified by sociodemographic and health-related covariables, a significantly higher prevalence rate of psychotropic drug use is found among women, the older age group (70–79 years), people with a lower social status, those living alone, people with a worse health status, those having a certified disability and participants with polypharmacy. In contrast, a significantly higher prevalence rate of weekly alcohol use is found among men, people residing in Southern Germany, those with an upper social status, people living with others, those with a good health status, smokers and people without polypharmacy. Similar results are found for daily and risky alcohol use (table 1). Concerning moderate drinking, higher prevalence rates are found among the older age group (70–79 years), but lower rates are found among current smokers (table 1).

Table 2 depicts the use of psychotropic drugs according to specific subgroups. In total, 518 older participants consume 740 psychotropic drugs. Of these drugs, 571 (77.2%) are synthetics, while 169 (22.8%) are phytomedicines. The user prevalence for synthetics and phytomedicines amounts to 16.9% and 6.5%, respectively.

Table 2.

Use of psychotropic drugs according to specific subgroups among adults aged 60 and 79 years: German Health Interview and Examination Survey for Adults (DEGS1) 2008–2011

ATC code Medication class/active pharmaceutical ingredient No. of drugs No. of users User prevalence
Per cent 95% CI
Synthetics 571 404 16.9 14.9 to 19.1
 N02A Narcotic analgesics 104 96 4.1 3.2 to 5.3
N02AX51 Tilidin 31 30 1.3 0.8 to 2.0
N02AX02 Tramadol 26 26 0.9 0.6 to 1.5
 N02C Antimigraine preparations 7 7 0.4 0.2 to 1.0
 N03 Antiepileptics 70 63 2.3 1.7 to 3.3
N03AF01 Carbamazepin 19 17 0.7 0.3 to 1.5
N03AX12 Gabapentin 17 17 0.6 0.3 to 1.2
N03AX16 Pregabalin 15 13 0.4 0.2 to 0.8
 N04 Antiparkinsonian agents 47 32 1.2 0.7 to 2.0
N04BA11 Levodopa and benserazide 18 16 0.7 0.3 to 1.4
 N05A Antipsychotics 24 21 0.8 0. 5 to 1.2
 N05B Anxiolytics 48 48 2.2 1.5 to 3.1
N05BA Benzodiazepine derivatives 46 46 2.1 1.4 to 3.1
N05BA08 Bromazepam 15 15 0.9 0.5 to 1.8
 N05C Hypnotics and sedatives 52 42 1.3 0.9 to 1.9
N05CD Benzodiazepines 11 11 0.4 0.2 to 0.9
N05CF Benzodiazepine-related drugs 28 28 0.8 0.5 to 1.3
 N06A Antidepressants 169 151 6.7 5.5 to 8.5
N06AA Non-selective monoamine reuptake inhibitors 82 80 3.8 2.8 to 5.3
N06AA09 Amitriptylin 26 25 1.4 0.8 to 2.3
N06AA05 Opipramol 21 21 1.1 0.5 to 2.2
N06AB Selective serotonin reuptake inhibitors (SSRIs) 47 47 2.0 1.4 to 2.7
N06AB04 Citalopram 29 29 1.0 0.7 to 1.6
 N06B Psychostimulants 5 5 0.5 0.1 to 1.8
 N06D Antidementia drugs 10 10 0.4 0.2 to 1.0
 N07 Others 35 34 1.5 1.0 to 2.5
Phytomedicines 169 158 6.5 5.4 to 7.8
N06DP01 Ginkgo biloba 89 88 3.8 3.0 to 4.8
N06AP01 St John's wort 27 27 1.1 0.8 to 1.7
N05CP01/06 Valerian 44 42 1.5 1.0 to 2.1
N05CP04/05/08 Others used for sleep 9 9 0.4 0.1 to 1.0
Specific drug classes of interest
 Antidepressants (N06A synthetics and St John's wort) 196 173 7.9 6.5 to 9.5
 Antidementia drugs (N06D synthetics and Ginkgo biloba) 99 97 4.2 3.3 to 5.4
 Hypnotics and sedatives (N05C synthetics, valerian and others used for sleep) 105 98 3.3 2.6 to 4.3
 Benzodiazepines (N05BA, N05CD, N03AE01, N05CF) 86 84 3.3 2.5 to 4.4
All psychotropic drugs (synthetics and phytomedicines) 740 518 21.4 19.3 to 23.7

All percentages and 95% CIs were weighted according to the German national population on 31 December 2010.

Among synthetic drugs, antidepressants are most frequently used (6.7%), followed by narcotic analgesics (4.1%), antiepileptics (2.3%) and anxiolytics (2.2%) (table 2). In contrast, synthetic antimigraine preparations, antidementia drugs, psycho-stimulants and antipsychotics are used by <1% of the study population. The so-called Z-drugs under the ATC code N05CF (benzodiazepine-related drugs) account for the majority of hypnotics and sedatives (N05C) with a user prevalence rate of 0.8% (zopidem 0.5% and zopiclone 0.3%, data not shown in table 2). Almost half of synthetic antidepressants are non-selective monoamine reuptake inhibitors, while selective serotonin reuptake inhibitors account for 27.8%. Nearly, all anxiolytics originate from the medication group of benzodiazepine derivatives. About 3.3% of older adults use benzodiazepine or benzodiazepine-related drugs (table 2).

The most frequently used phytomedicines are Ginkgo biloba (3.8%), followed by valerian (1.5%) and St John's wort (1.1%). Looking at the total of phytomedicine and synthetics use, antidepressants (7.9%) and antidementia drugs (4.2%) are the most frequently used psychotropic medications among older adults (table 2).

Table 3 describes the use of specific psychotropic drug groups of interest differentiated according to sociodemographic and health-related factors. A high use of synthetic medication, but not phytomedicines, is found among persons with a low social status and among those with a certified disability. People with a worse health status and those exposed to polypharmacy are significantly more likely to use any psychotropic drugs. Similarly, there is a greater probability of psychotropic medicine use among people with a certified disability (with exception of phytomedicines, hypnotics and sedatives and antidementia drugs).

Table 3.

Prevalence of specific psychotropic drugs’ use among adults aged 60–79 years by sociodemographic and health-related factors: German Health Interview and Examination Survey for Adults (DEGS1) 2008–2011

Synthetic medicines
Phytomedicines
Antidepressants†
Hypnotics and sedatives‡
Narcotic analgesics§
Benzodiazepines and related drugs¶
Antidementia drugs**
Antiepileptics††
Per cent 95% CI Per cent 95% CI Per cent 95% CI Per cent 95% CI Per cent 95% CI Per cent 95% CI Per cent 95% CI Per cent 95% CI
Sex
Men 13.1 10.8 to 16.0 3.7 2.6 to 5.1 3.4 2.4 to 4.8 1.6 .9 to 2.6 3.3 2.0 to 5.3 1.7 1.0 to 2.8 3.1 2.0 to 4.7 3.2* 2.1 to 5.0
Women 20.2** 17.3 to 23.5 9.0** 7.2 to 11.2 11.8** 9.4 to 14.7 4.9** 3.7 to 6.6 4.9 3.6 to 6.5 4.7** 3.3 to 6.5 5.2 3.8 to 7.0 1.5 0.9 to 2.6
Age group, years
60–69 14.7 12.3 to 17.6 4.3 3.3 to 5.6 7.3 5.5 to 9.7 2.8 2.0 to 3.9 4.2 2.8 to 6.2 2.3 1.6 to 3.3 2.1 1.4 to 3.2 2.7 1.8 to 3.9
70–79 19.3* 15.9 to 23.1 8.9** 7.0 to 11.4 8.5 6.3 to 11.3 4.0 2.8 to 5.7 4.1 3.0 to 5.7 4.4* 2.9 to 6.6 6.5** 4.7 to 8.8 2.0 1.1 to 3.6
Region of residence‡‡
Northern Germany 15.6 12.3 to 19.6 5.2 3.5 to 7.8 6.6 4.6 to 9.4 2.6 1.5 to 4.5 4.0 2.4 to 6.4 2.3 1.3 to 3.9 3.0 1.8 to 5.0 2.6 1.4 to 4.6
Central Germany 16.1 13.3 to 19.4 7.7 5.9 to 10.0 7.5 5.5 to 10.0 3.7 2.6 to 5.4 4.0 2.8 to 5.6 3.7 2.5 to 5.3 5.2 3.7 to 7.4 1.9 1.2 to 3.2
Southern Germany 18.9 15.0 to 23.5 6.0 4.3 to 8.2 9.4 6.7 to 12.9 3.4 2.2 to 5.3 4.5 2.7 to 7.4 3.6 2.0 to 6.4 3.8 2.4 to 5.9 2.6 1.4 to 4.9
Social status
Lower 21.9* 17.2 to 27.4 4.4 2.7 to 7.1 8.4 5.6 to 12.4 3.0 1.7 to 5.5 7.3** 4.9 to 10.7 4.0 2.2 to 7.2 3.1 1.6 to 5.9 1.8 0.8 to 4.2
Middle 16.6 14.1 to 19.5 7.2 5.7 to 9.1 8.2 6.3 to 10.8 3.5 2.5 to 4.8 3.5 2.4 to 5.0 3.1 2.1 to 4.6 4.6 3.3 to 6.3 2.7 1.7 to 4.1
Upper 10.4 7.8 to 13.9 6.8 4.6 to 9.9 5.5 3.7 to 8.1 3.4 2.0 to 5.9 1.9 1.1 to 3.5 3.0 1.6 to 5.5 4.0 2.5 to 6.4 1.6 0.7 to 3.8
Living alone
 Yes 22.4* 18.0 to 27.6 9.3* 6.2 to 13.6 14.2** 10.4 to 19.1 3.4 1.9 to 5.8 5.2 3.3 to 8.2 5.0 2.8 to 8.9 7.0* 4.3 to 11.3 2.3 1.1 to 4.6
 No 15.4 13.2 to 17.9 5.7 4.5 to 7.1 6.1 4.7 to 7.9 3.3 2.5 to 4.4 3.9 2.8 to 5.3 2.8 2.0 to 3.9 3.4 2.5 to 4.5 2.3 1.6 to 3.4
Smoking
 Smoker 14.1 9.9 to 19.7 3.9 1.9 to 7.7 7.0 4.4 to 10.9 2.8 1.3 to 5.9 4.7 2.5 to 8.8 2.4 1.1 to 5.0 1.3 .5 to 3.5 2.5 1.1 to 6.0
 Ex-smoker 16.1 13.0 to 19.6 6.9 5.1 to 9.4 5.8 4.1 to 8.2 3.8 2.5 to 5.7 5.3 3.4 to 8.3 2.7 1.6 to 4.7 4.2 2.8 to 6.2 3.5* 2.2 to 5.7
 Never-smoker 17.7 14.7 to 21.3 6.3 4.9 to 7.9 9.0 6.8 to 11.8 3.2 2.2 to 4.5 3.2 2.2 to 4.5 4.0 2.7 to 5.7 4.3 3.1 to 6.0 1.4 0.8 to 2.4
Health status
Better 9.2 7.4 to 11.4 5.2 3.9 to 6.9 4.9 3.7 to 6.6 2.3 1.6 to 3.3 1.2 0.5 to 2.6 1.9 1.2 to 3.1 3.1 2.2 to 4.3 1.1 0.6 to 2.0
Worse 27.3** 23.7 to 31.3 8.2* 6.3 to 10.5 12.0** 9.3 to 15.3 4.8* 3.4 to 6.8 8.1** 6.2 to 10.6 5.2** 3.6 to 7.5 5.4* 3.8 to 7.7 3.9** 2.6 to 5.9
Certified disability
 Yes 27.3** 23.1 to 32.1 6.1 4.1 to 9.2 11.6* 8.5 to 15.5 3.7 2.4 to 5.6 7.7** 5.4 to 10.8 5.0* 3.2 to 7.7 4.7 2.8 to 8.0 5.0** 3.1 to 7.9
 No 12.1 10.1 to 14.4 6.6 5.3 to 8.2 6.3 4.9 to 8.0 3.0 2.2 to 4.0 2.5 1.7 to 3.7 2.5 1.7 to 3.6 4.1 3.1 to 5.4 1.3 0.8 to 2.0
Polypharmacy§§
 Yes 31.2** 27.3 to 35.4 10.9** 8.8 to 13.4 15.0** 12.0 to 18.6 6.1** 4.6 to 8.1 8.4** 6.4 to 10.9 6.3** 4.5 to 8.7 7.4** 5.5 to 9.9 4.6** 3.1 to 6.7
 No 6.4 4.8 to 8.6 3.3 2.2 to 4.9 2.6 1.7 to 4.0 1.3 0.8 to 2.2 1.0 0.4 to 2.5 1.1 0.5 to 2.3 1.8 1.1 to 3.0 0.7 0.4 to 1.1

*p<0.05 or **p<0.01, comparison within specific subgroup, the Rao-Scott second-order χ2 test. Figures in bold denote statistical significance.

Missing values for: social status (n=16), living alone (n=14), smoking (n=14), health status (n=19), certified disability (n=58), polypharmacy (n=7).

All percentages and 95% CIs were weighted according to the German national population of 31 December 2010.

†N06A synthetics and St John's wort (N06AP01).

‡N05C synthetics, valerian and others used for sleep (N05CP).

§N02A.

¶N05BA, N05CD, N03AE01 and N05CF.

**N06D synthetics and Ginkgo biloba (N06DP01).

††N03.

‡‡Regions: Northern Germany (federal states: Berlin, Brandenburg, Bremen, Hamburg, Lower Saxony, Mecklenburg-Vorpommern, Schleswig-Holstein); Central Germany (Hesse, North Rhine-Westphalia, Saxony, Saxony-Anhalt, Thuringia), Southern Germany (Baden-Württemberg, Bavaria, Rhineland-Palatinate, Saarland).

§§Polypharmacy: use of five or more drugs, including prescribed and OTC drugs in the last 7 days.

Women are more likely to use all subgroups of psychotropic drugs with the exception of antiepileptics. People who live alone significantly more often use antidepressants and antidementia drugs, while people with a lower social status are more likely to use narcotic analgesics. The region of residence and smoking status are less likely to be associated with the use of subgroups of psychotropic drugs except that ex-smokers are significantly more likely to use antiepileptics (table 3).

Figure 1 depicts psychotropic drug use in relation to daily and risky alcohol drinking. Approximately two-thirds (75.5%) of those who drink daily also drink riskily with a prevalence rate of 13.9% (areas A6 and A5). Among those who drink daily, only one-fifth (20.9%) do not drink riskily and do not use psychotropic drugs (area A3). The prevalence of psychotropic drug use combined with daily alcohol drinking amounts to 2.8% (areas A5 and A2), the majority of this group drinks also riskily (area A5, prevalence 2.1%).

Figure 1.

Figure 1

Prevalence of psychotropic drug use and alcohol consumption among adults aged 60–79 years. German Health Interview and Examination Survey for Adults (DEGS1) 2008–2011. A1, psychotropic drug use only, no alcohol use (n=387, 17.5%, 95% CI 15.5% to 19.6%). A2, combined use of psychotropic drugs and alcohol (but not risky drinking) (n=17, 0.7%, 95% CI 0.4% to 1.2%). A3, daily alcohol use, but not risky drinking, no psychotropic drug use (n=99, 3.9%, 95% CI 2.9% to 5.1%). A4, psychotropic drug use combined with risky drinking (but not daily) (n=22, 1.0%, 95% CI 0.6% to 1.7%). A5, psychotropic drug use combined with daily risky drinking (n=59, 2.1%, 95% CI 1.5% to 2.9%). A6, daily risky alcohol drinking, but no psychotropic drug use (n=293, 11.9%, 95% CI 10.3% to 13.7%). A7, risky drinking only, no daily alcohol use and no psychotropic drug use (n=82, 2.6%, 95% CI 1.9% to 3.5%). One hundred and forty-two persons with missing values for psychotropic drug use, risky drinking or daily alcohol drinking were excluded; 1407 non-users of psychotropic drugs who neither drink daily nor riskily are not shown in the figure. All percentages were weighted according to the German national population of 31 December 2010; Daily alcohol drinking, drinking of alcohol-containing beverages at least once a day; Risky drinking, average daily alcohol consumption of ≥20 g for men and ≥10 g for women.

The proportions of alcohol users according to frequency and volume of alcohol use and stratified by specific psychotropic drug groups are shown in table 4. The majority of all psychotropic drug users (62.7%) drink alcohol moderately, while 14.2% drink riskily. Nearly half of psychotropic drug users (45.7%) drink alcohol at least once a week, while 12.9% drink alcohol daily. There are no significant differences within the subgroups of alcohol consumption in relation to the subgroups of psychotropic drugs (table 4).

Table 4.

Alcohol consumption among psychotropic drug users aged 60–79 years—overall and in major subgroups: German Health Interview and Examination Survey for Adults (DEGS1) 2008–2011

 
Alcohol consumption according to frequency
Alcohol consumption according to quantity
 
At least once a week
At least once a day
Moderate drinking*
Risky drinking†
Psychotropic drugs N n % 95% CI n % 95% CI n % 95% CI N % 95% CI
Any psychotropic drugs 518 227 45.7 39.9 to 51.6 76 12.9 9.6 to 17.2 319 62.7 56.8 to 68.2 82 14.2 10.9 to 18.3
Antidepressants 173 68 41.4 31.2 to 52.4 21 10.4 6.1 to 17.3 93 51.4 41.4 to 61.4 24 14.7 8.9 to 23.3
Hypnotics and sedatives 98 47 50.1 37.5 to 62.6 15 17.0 8.8 to 30.3 57 62.4 49.8 to 73.5 19 18.7 11.3 to 29.5
Antidementia drugs 97 43 44.2 31.1 to 58.1 15 13.5 7.3 to 23.8 67 68.9 56.4 to 79.2 13 11.3 5.7 to 21.0
Narcotic analgesics 96 40 38.5 27.1 to 51.3 15 12.5 7.0 to 21.4 55 59.8 48.0 to 70.6 15 11.1 6.3 to 19.0
Benzodiazepines and related drugs 84 36 46.8 32.4 to 61.7 7 7.7 3.0 to 18.4 50 62.2 46.2 to 75.9 12 14.1 6.0 to 29.6
Antiepileptics 63 28 50.3 32.9 to 67.5 12 19.0 9.3 to 34.8 36 60.7 44.3 to 75.0 10 12.2 5.8 to 24.0

*Men >0 and<20 g, women >0 and<10 g/day.

†Men ≥20 g, women ≥10 g/day.

All percentages were weighted according to the German national population of 31 December 2010.

Table 5 presents factors associated with psychotropic drug, alcohol and the combined use of both substances. Polypharmacy and female sex are correlates of psychotropic drug use, overall and for major subgroups of interest. Correlates of daily drinking combined with psychotropic drug use are worse health status and polypharmacy. In contrast, male sex and residing in Southern Germany are predictors for alcohol use. Lower social status, worse health status, disability and living alone are adversely associated with any alcohol drinking or risky drinking, whereas positively associated with any psychotropic drug use or specific subgroups (antidepressants and narcotic analgesics). Older age (70–79 years) is associated with the use of phytomedicine only, while ex-smokers are more likely to use phytomedicines, hypnotics and sedatives and to practice risky alcohol consumption (table 5). Sensitivity analyses involving polypharmacy defined by including prescription drugs only show no substantial changes. Sensitivity analyses involving polypharmacy without psychotropic medicines show that the associations between polypharmacy and any psychotropic drug use are attenuated while the statistical significance remains unchanged (OR 1.88, 95% CIs 1.42 to 2.48, p<0.0001). Also, the associations of polypharmacy with daily or risky alcohol drinking remain non-significant (data not shown).

Table 5.

Factors associated with psychotropic drug use and alcohol consumption among adults aged 60–79 years—overall and in subgroups of interest: German Health Interview and Examination Survey for Adults (DEGS1) 2008–2011

Psychotropic drug use
Alcohol consumption
Any psychotropic drug
All phytomedicines
All antidepressants
All hypnotics and sedatives
Narcotic analgesics
At least once a week
At least once a day
Risky alcohol drinking
Psychotropic drug use combined with daily drinking
R2 0.213
0.106
0.190
0.120
0.216
0.209
0.186
0.117
0.059
OR 95% CI OR 95% CI OR 95% CI OR 95% CI OR 95% CI OR 95% CI OR 95% CI OR 95% CI OR 95% CI
Sex
Women 1.83 1.27 to 2.64 2.66 1.54 to 4.59 3.00 1.79 to 5.04 4.40 2.01 to 9.63 1.85 1.00 to 3.43 0.28 0.22 to 0.36 0.21 0.15 to 0.29 0.46 0.35 to 0.61 0.61 0.27 to 1.37
Age group, years
70–79 1.19 0.85 to 1.65 1.75 1.17 to 2.60 0.90 0.54 to 1.5 1.32 0.78 to 2.23 0.75 0.4 to 1.39 1.07 0.84 to 1.36 1.10 0.82 to 1.48 0.90 0.66 to 1.23 1.20 0.62 to 2.34
Region of residence*
Central Germany 1.05 0.74 to 1.50 1.35 0.80 to 2.28 0.95 0.57 to 1.59 1.35 0.67 to 2.71 1.06 0.54 to 2.09 1.47 1.10 to 1.98 1.19 0.82 to 1.72 0.78 0.53 to 1.13 1.60 0.59 to 4.35
Southern Germany 1.09 0.72 to 1.64 1.14 0.66 to 1.98 1.33 0.75 to 2.36 1.31 0.61 to 2.83 1.09 0.49 to 2.45 2.35 1.72 to 3.22 1.95 1.34 to 2.86 1.45 0.96 to 2.21 1.46 0.51 to 4.19
Social status
Lower 1.22 0.77 to 1.94 0.38 0.19 to 0.76 0.88 0.44 to 1.74 0.59 0.24 to 1.43 2.49 1.07 to 5.80 0.44 0.30 to 0.66 0.95 0.60 to 1.52 0.53 0.34 to 0.81 1.24 0.43 to 3.61
Middle 1.08 0.76 to 1.55 0.72 0.45 to 1.15 1.01 0.58 to 1.75 0.68 0.33 to 1.39 1.29 0.58 to 2.84 0.73 0.52 to 1.03 1.00 0.73 to 1.37 0.65 0.46 to 0.92 1.26 0.54 to 2.96
Living alone
Yes 1.11 0.80 to 1.55 1.15 0.65 to 2.02 1.57 1.02 to 2.43 0.64 0.33 to 1.25 0.91 0.49 to 1.71 0.71 0.52 to 0.98 0.65 0.44 to 0.98 0.86 0.61 to 1.22 1.21 0.54 to 2.69
Smoking
Smoker 1.05 0.67 to 1.65 1.03 0.46 to 2.29 1.00 0.59 to 1.69 1.74 0.71 to 4.27 1.84 0.81 to 4.18 1.16 0.78 to 1.73 2.60 1.69 to 4.00 2.41 1.52 to 3.82 1.44 0.55 to 3.78
Ex-smoker 1.18 0.82 to 1.72 1.85 1.13 to 3.02 0.84 0.50 to 1.40 2.30 1.18 to 4.49 1.78 0.95 to 3.36 1.30 0.98 to 1.72 1.22 0.88 to 1.68 1.62 1.18 to 2.21 1.38 0.70 to 2.70
Health status
Worse 1.74 1.28 to 2.36 1.09 0.71 to 1.66 1.39 0.85 to 2.29 1.26 0.74 to 2.14 3.59 1.64 to 7.85 0.76 0.58 to 0.98 0.74 0.53 to 1.03 0.73 0.54 to 0.99 1.88 1.03 to 3.43
Certified disability
Yes 1.60 1.17 to 2.18 0.62 0.38 to 1.01 1.52 0.97 to 2.36 1.02 0.58 to 1.79 2.00 0.99 to 4.05 0.77 0.58 to 1.04 0.57 0.41 to 0.80 0.66 0.48 to 0.92 0.89 0.48 to 1.64
Polypharmacy†
Yes 4.30 3.11 to 5.94 2.82 1.69 to 4.70 5.39 3.03 to 9.57 4.08 2.20 to 7.59 5.94 2.34 to 15.0 0.91 0.71 to 1.16 1.31 0.96 to 1.80 1.03 0.78 to 1.36 2.46 1.10 to 5.48

ORs and 95% CI were derived from logistic regression models with all variables as independent variables and were weighted according to the German national population on 31 December 2010. Figures in bold denote statistical significance. References are: man, 60–69 years, Northern Germany, upper social status, not living alone, never smoker, worse health status, having no certified disability and no polypharmacy.

*Regions: Northern Germany (federal states: Berlin, Brandenburg, Bremen, Hamburg, Lower Saxony, Mecklenburg-Vorpommern, Schleswig-Holstein); Central Germany (Hesse, North Rhine-Westphalia, Saxony, Saxony-Anhalt, Thuringia), Southern Germany (Baden-Württemberg, Bavaria, Rhineland-Palatinate, Saarland).

†Polypharmacy: use of five or more drugs, including prescribed and OTC drugs in the last 7 days.

Discussion

The present study provides representative data on psychotropic drug use and alcohol consumption among adults aged 60–79 years in Germany. About 21.4% of older adults use at least one psychotropic medication in the past 7 days, more than half consume any alcohol-containing beverage, about 17–18% practice daily and/or risky alcohol drinking, and 2.8% use psychotropic drugs combined with daily alcohol drinking. More than half of those who use any psychotropic drugs consume alcohol moderately or at least once a week, while about 13–14% consumes alcohol daily or riskily. Factors associated with a higher rate of psychotropic drug use are female sex, worse health status, certified disability and polypharmacy. Correlates of higher rates of alcohol consumption are male sex, living in Southern Germany, upper social class, having a good health status and not living alone.

Using the same methods, our previous study based on data from 1998 finds prevalence rates of psychotropic drug use of 20.1%, alcohol use of 47.3% and risky drinking of 15.1%,14 which are comparable to findings of the present study. Yet, comparability of our results with other national and international studies is limited as there are great differences in study design, data collection, observational windows and definitions of psychotropic drugs and risky alcohol consumption.

A regional population-based study of health in the Pomeranian area of Germany reports that among adults aged 60–79 years, 3.8% of men and 6.8% of women use sedatives, hypnotics or anxiolytics during the 7 days preceding the data collection.23 In our study, 3.3% (1.6% hypnotics and sedatives+1.7% benzodiazepines) of the men and 9.6% (4.9% hypnotics and sedatives+4.7% benzodiazepines) of the women use sedatives, hypnotics and benzodiazepines and related drugs. The Pomeranian study includes more drugs of the substance groups sedatives, hypnotics or anxiolytics than our study.23 In our analyses, no use of barbiturates was included, while antiepileptic drugs and anxiolytics were analysed separately. The use of opioids with a prevalence rate of 0.9% in men and 1.6% in women in the Pomeranian study23 is lower than our findings of 3.3% in men and 4.9% in women. Higher values in our study could be based on differences in definition of opioids. Our study includes not only opioids used as analgesics but also as antitussives.

International population-based health surveys observe similar prevalence rates for the use of subgroups of psychotropic drugs as our study. The US National Health and Nutrition Examination Survey (NHANES) 2007–2012 finds a prevalence of opioid analgesics' use in the past 30 days of 7.9% (men 6.9%, women 8.6%) among adults aged 60 years and older.24 In the Australian National Survey of Mental Health and Well-being 2007, including the age group 65–74 years, the prevalence of any antidepressant use amounts to 7.4%, and of anxiolytics, sedatives or hypnotics to 7.9% in the past 2 weeks.25 In a representative sample of community-dwelling adults aged 60 years and older in Ireland, regular exposure to CNS drugs include antidepressants (prevalence 7.4%), hypnotics (5.5%), anxiolytics (2.7%) and opioid analgesics (3.1%).10 A direct comparison of these findings with our results is impossible due to differences in the definition of psychotropic drugs (eg, phytomedicines are also considered in our study) and observation windows as well as study populations. Comparative studies, including Germany and other European countries, however, demonstrate that psychotropic drug use is generally lower among adults in Germany than in Western European—but higher than in Eastern European countries.26–30

Patterns of alcohol consumption differ widely between countries and are influenced by drinking cultures and social norms.31 32 Alcohol use is found to be consistently high among older adults with a range between 40% and 60% and a higher use in men than in women in Belgium,33 USA9 34 and Spain.35 Prevalence rates of risky drinking in international studies are difficult to compare because definitions of standard drinking size, alcohol consumption guidelines32 and definitions of risky drinking19 vary widely between countries and studies.32 For example, in the USA, drinking limits are two standard drinks or 28 g of alcohol per day for men and one standard drink or 14 g of alcohol for women, while in Germany, the threshold for risky drinking is set at ≥20–24 g/day for men and ≥10–12 g/day of alcohol for women.20 21 32 In the USA, the National Health and Nutrition Examination Survey 2005–2008 finds that 53.6% of people 65 years and older are non-drinkers and 8.3% consume alcohol daily or almost daily in the past 12 months.36 In this study, 14.5% of the older alcohol consumers drink alcohol in excess of limits recommended by the National Institute on Alcohol Abuse and Alcoholism (NIAAA), namely drinking no more than three drinks a day and no more than seven drinks in a week.36 An analysis of the 2005 and 2006 National Survey on Drug Use and Health (NSDUH) assessing past-month alcohol use finds that among people aged 65 years and older, 13% of men and 8% of women report at-risk alcohol use (defined as two or more drinks on a usual drinking day within the past 30 days) and more than 14% of men and 3% of women report binge drinking (defined as five or more drinks on the same occasion on at least 1 day in the past 30 days).37 The NSDUH 2010 finds that 7.6% of people aged 65 years and older practice binge- and 1.6% heavy drinking (defined as five or more drinks on the same occasion on each of 5 or more days in the past 30 days).38 In Australia, ∼18% of men and 4% of women aged 65–74 years are heavy drinkers (>14 drinks/week).39 In the UK, 27% of men and 14% of women aged 65 years and older are excessive drinkers (drinking on 5 or more days last week).40 Similar to our findings, in a Belgian study, about one in five older adults (20.5%) practices heavy drinking (>8 glasses/week).33 In an Irish study 19.7%10 and in a Spanish study 7.8%35 of older adults consume alcohol riskily. The former study defined risky drinking according to NIAAA recommendation,10 while the latter defined risky drinking as ≥40 g alcohol per day for men and ≥24 g alcohol per day for women,35 much higher than the thresholds used in our study. The thresholds used in our study are lower than those in some other studies, which may partly account for the prevalence differences between studies.

The American Geriatrics Society suggests that benzodiazepines or other sedative-hypnotics should not be used in older adults as first choice for insomnia, agitation or delirium because of the substantial risks associated with them.41 Concomitant use of alcohol and psychotropic drugs, particularly sedatives, hypnotics and benzodiazepines, may produce additional sedation and increase greatly the risk of injuries caused by falling and other accidents among older adults.5 Although ‘concurrent’ or ‘concomitant’ use of psychotropic drugs and alcohol has been investigated in previous studies,2 9 12 14 42 due to differences in observational windows for drug use and alcohol exposure, it actually cannot be guaranteed that participants were exposed to the two substances at the same time in these studies.2 9 12 14 42 In the present study, we investigate daily alcohol drinking among psychotropic drug users to increase the possibility of a simultaneous exposure of the two substances at the same day. Among those who used any psychotropic medicines, ∼13% drink daily with no substantial differences between subgroups of psychotropic drugs (table 4). As most of those daily drinkers consume alcohol also riskily, this poses a great risk of interactions. Consistent with our findings, 18.0% of older adults taking antidepressants, 14.8% taking opioids, 13.0% taking antiepileptics, antipsychotics or hypnotics are found to be heavy drinkers in a large population-based study in Ireland.10 In a national representative sample of adults aged 60 years and older in Spain, 36.5% of sleeping pill users are moderate and 5.6% heavy alcohol drinkers.35 In our study, 62.4% of hypnotic and sedative users consume alcohol moderately and 18.7% riskily. Again, definition of risky drinking may explain some of the differences.

We identified certain groups with an increased risk of exposure to psychotropic substance use. Those who already belong to a vulnerable group (eg, worse health status, disability, polypharmacy) or women are also more frequently exposed to psychotropic drug use. European studies confirm these findings.27 43 Male sex, people with an upper SES, those living with a partner, smokers and those with a better health status are more frequently daily alcohol consumers. These factors are consistent with studies on alcohol use in the USA,44 Belgian,33 Ireland10 and Finland.45 In particular, we find that people with a worse health status and polypharmacy are more likely to use a combination of the two substances. Generally, we assume that polypharmacy defined by the number of prescription drugs is related to health status based on the fact that polypharmacy is closely associated with multimorbidities (and thus probably poor health status). Yet, polypharmacy defined by the number of any drugs used may be related to the style of coping with health issues. However, sensitivity analyses suggest there is no substantial difference between the two different definitions of polypharmacy in our study. Health professionals should pay attention when prescribing psychotropic drugs to these vulnerable people.

Strengths of our study include the large sample size and using nationally representative data and standardised valid data collection tools. The weighted results allow generalisation to the community-dwelling older adults in Germany. Recall bias concerning medicine use is minimised by reducing the observation period to the last 7 days before the interview and by asking people to bring the packages of medication to the examination sites. However, there are some limitations to our study. First, we cannot exclude selection bias, as persons who are hospitalised or institutionalised were not included. Older community-dwelling people with cognitive impairment, depression or other mental or physical severe illness are likely to be under-represented in the national survey due to the need to travel to survey sites. Therefore, estimation of psychotropic drug use may be underestimated. A further weakness of our study is the age limit of 79 years. Older people usually consume more psychotropic medication.46 47 Additionally, under-reporting of alcohol use is likely because people tend to answer questions concerning these substances according to social desirability.48

Conclusion

In summary, the use of psychotropic drugs and alcohol is common among older adults in Germany. Despite the high risk of synergetic effects of psychotropic drugs and alcohol, more than half of those who use any psychotropic drugs consume alcohol moderately or at least once a week, while about 13–14% consumes alcohol daily or riskily. Health professionals should pay attention to particularly vulnerable people, such as those exposed to polypharmacy and people with a worse health status. Further investigations are needed to monitor trends in the use of specific subgroups of psychotropic medicines and to evaluate health effects in association with alcohol consumption patterns among older adults over time.

Acknowledgments

The authors thank the survey participants for contributing towards our understanding of psychotropic substance use among older adults.

Footnotes

Contributors: YD helped conceptualise the study, conducted the statistical analyses, interpreted the results, contributed to literature review and wrote the manuscript. I-KW helped conceptualise the study, provided the literature review, assisted in interpreting results and writing the manuscript. HK generated the original idea, coordinated, conceptualised and conducted the project, provided specific knowledge and reviewed the manuscript. HK is the guarantor who takes the responsibility for the study. All authors read and approved the final manuscript.

Funding: This work was supported by the Federal Ministry of Health and the Robert Koch Institute. The German Health Interview and Examination Survey for Adults 2008–2011 was funded by the Federal Ministry of Health.

Competing interests: None declared.

Ethics approval: the Charité-Universitätsmedizin Berlin ethics committee.

Provenance and peer review: Not commissioned; externally peer reviewed.

Data sharing statement: No additional data are available.

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