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. Author manuscript; available in PMC: 2012 Jun 18.
Published in final edited form as: Age Ageing. 2007 Mar;36(2):203–209. doi: 10.1093/ageing/afl184

Type of alcohol consumed, changes in intake over time and mortality: the Leisure World Cohort Study

Annlia Paganini-Hill 1, Claudia H Kawas 2,3, María M Corrada 3
PMCID: PMC3377489  NIHMSID: NIHMS382722  PMID: 17350977

Abstract

Background

modifiable behavioural risk factors including smoking and alcohol consumption are major contributing or actual causes of mortality.

Objective

to examine the effect of alcohol intake on all-cause mortality in older adults.

Design and Setting

prospective population-based cohort study of residents of a California, United States retirement community.

Subjects

8,877 women and 5,101 men (median age, 74 years) who in the early 1980s completed a postal health survey including details on alcohol consumption.

Methods

participants were followed for 23 years (1981–2004) including two follow-up questionnaires (in 1992 and 1998) asking about current alcohol intake. Age-adjusted and multivariate-adjusted risk ratios of death and 95% confidence intervals were calculated separately for men and women, using proportional hazard regression.

Results

of the 8,644 women and 4,980 men with complete information on the variables of interest and potential confounders, 6,930 women and 4,456 men had died (median age, 87 years). Both men and women who drank alcohol had decreased mortality compared with non-drinkers. Those who drank two or more drinks per day had a 15% reduced risk of death. The reduced risk was not limited to one type of alcohol. Stable drinkers (those who reported drinking both at baseline and follow-up) had a significantly decreased risk of death compared with stable non-drinkers. Those who started drinking at follow-up also had a significantly lower risk. Women who quit drinking were at increased risk of death.

Conclusion

in elderly men and women, moderate alcohol intake exhibits a beneficial effect on mortality. Those who quit may do so for health reasons that affect mortality.

Keywords: alcohol, beer, wine, spirits, mortality, elderly

Introduction

Although cardiovascular disease and cancer are the two leading causes of death among adults in the United States, modifiable behavioural risk factors are major contributing or actual causes of this mortality [1].While smoking remains the leading cause of death (18% in 2000), alcohol consumption (4%) is also a significant factor.

The consumption of alcohol has both beneficial and adverse effects on morbidity and mortality. Although many conditions and diseases, such as violence, accidents, liver and neurological disease, pancreatitis, hemorrhagic stroke, and cancer are exacerbated by alcohol consumption, moderate drinking has been associated with a reduction in atherosclerotic cardiovascular disease [24]. For all-cause mortality the majority of individual studies in numerous countries among various racial/ethnic groups and for both sexes have found J- or U-shaped curves with light to moderate drinkers having a lower mortality risk than non-drinkers or heavy drinkers [59].

Studies of the relationship between mortality and alcohol use in the elderly [919] are limited by small size (<2, 000 elderly participants) [10, 12, 16], short follow-up period (<10 years) [11, 1416, 18] or include only males [10, 12, 18]. As part of a prospective study of the effect of modifiable lifestyle practices on longevity and successful aging, we explored the association of alcohol intake on all-cause mortality in a large cohort (nearly 14,000) of elderly (median age 74 years) men and women with information on many potential confounders and followed for 23 years.

Methods

The Leisure World Cohort Study was established in the early 1980s when 13,978 (8,877 female and 5,101 male) residents of a California retirement community (Leisure World Laguna Hills) completed a postal health survey. The population and the cohort are mostly Caucasian, well-educated, upper-middle class and elderly. The baseline health survey asked demographic information (birth date, sex, marital status, number of children, height, weight); brief medical history (high blood pressure, angina, heart attack, stroke, diabetes, rheumatoid arthritis, fractures after age 40, cancer, gallbladder surgery, glaucoma, cataract surgery); medication use (hypertensive medication, digitalis, nonprescription pain medication); personal habits (cigarette smoking, exercise, alcohol, vitamin intake); and beverage consumption (milk, regular coffee, decaffeinated coffee, black or green tea, and soft drinks).

Consumption of alcoholic beverages was asked separately for wine, beer and hard liquor. Response choices for average weekday consumption were never drink, less than 1, 1, 2, 3, and 4 or more. Intakes of wine, beer and hard liquor were combined to form an overall amount of alcohol consumed. Living cohort members were resurveyed in 1992 and 1998 about their current alcohol drinking. Response choices were never, sometimes, everyday. Using baseline and follow-up surveys, subjects were classified as stable non-drinkers (those who reported not drinking alcohol at baseline and follow-up), stable drinkers (those who reported drinking both at baseline and follow-up), starters (those who reported not drinking at baseline but drinking at either follow-up), and quitters (those who reported drinking at baseline but not drinking at either follow-up).

Cohort members have also been followed by review of local hospital discharge data and determination of vital status by search of national and commercial death indexes and ascertainment of death certificates. Participants were followed to death or 31 December 2004, whichever came first. Forty-two cohort members were lost to follow-up. Previous reports present details of data collection [20, 21].

Proportional hazard regression analyses [22] were carried out separately for men and women. We tested the overall effect of alcohol using likelihood ratio tests (LRTs) comparing age-adjusted models with and without alcohol. Age-adjusted hazard ratios (HRs) and 95% confidence intervals were also obtained using proportional hazard regression. To control for potential confounding factors previously found to be related to mortality in this cohort, we performed multiple proportional hazard regression analysis adjusting for age at entry (continuous), smoking (never, past, current), exercise (0, 0.25, 0.5, 0.75–1.75, 2+ h/day), body mass index (<18.5 (underweight), 18.5–24.9 (normal), 25–29.9 (overweight), 30+ kg/m2 (obese)), caffeine intake (<50, 50–99, 100–199, 200–399, 400+ mg/day) and histories of hypertension, angina, heart attack, stroke, diabetes, rheumatoid arthritis, and cancer. Statistical analyses were performed using SAS version 9.1 (SAS Institute Inc., Cary, NC). No adjustment in the significance level was made for multiple comparisons.

This study was approved by the Institutional Review Boards of the University of Southern California and the University of California, Irvine and funded by the National Institutes of Health (R01CA32197 and R01AG21055), the Earl Carroll Trust Fund, the Al and Trish Nichols Chair in Clinical Neuroscience, and Wyeth-Ayerst Laboratories.

Results

After excluding 233 women and 121 men with missing information on the variables of interest or potential confounding variables, data on 8,644 women and 4,980 men were analyzed. At study entry, the subjects ranged in age from 44 to 101 years (median, 74 years). By 31 December 2004, 11,386 had died. Age at death ranged from 59 to 110 years (median, 87 years).

Table 1 presents selected characteristics of the study subjects for men and women and for alcohol drinkers and non-drinkers. Three-quarters of the cohort drank alcohol. At baseline, alcohol drinkers had a lower prevalence of stroke, diabetes and rheumatoid arthritis but more were smokers and coffee drinkers. Females consumed alcohol less often and in lower amounts than males. While 51–64% of both males and females drank wine or spirits, fewer women than men drank beer (15% versus 41%).

Table 1.

Characteristics of the Leisure World Cohort at baseline

Sex Alcohol drinker

Male Female No Yes
Number 4980 8644 3485 3485
Mean ± Standard deviation
Age at baseline (years) 74.3 ± 7.2 73.2 ± 7.4 74.5 ± 7.6 73.3 ± 7.2
Age at follow-up (years) 85.6 ± 6.9 87.5 ± 7.0 86.7 ± 7.3 86.8 ± 6.9
Follow-up years 11.2 ± 6.8 14.3 ± 6.8 12.2 ± 6.9 13.5 ± 6.9
Body mass index (kg/m2) 24.2 ± 2.9 23.1 ± 3.5 23.5 ± 3.6 23.5 ± 3.2
Exercise (h/day) 1.1 ± 1.3 0.9 ± 1.1 0.9 ± 1.1 1.0 ± 1.2
Caffeine (mg/day) 177 ± 172 168 ± 165 138 ± 159 182 ± 169
%
Alive 11 20 14 17
Female sex 0 100 69 62
History of disease
High blood pressure 36 41 39 39
Angina 15 9.5 13 11
Heart attack 16 6.6 11 9.9
Stroke 7.1 3.7 5.9 4.6
Cancer 9.3 13 12 11
Diabetes 8.2 4.9 9.3 5.1
Rheumatoid arthritis 4.4 6.7 7.1 5.5
Cigarette use
Never 33 55 64 42
Past 58 33 29 46
Current 9 12 7 12
Alcohol drinker 78 72 0 100
Regular coffee drinker 63 58 48 64
Decaffeinated coffee drinker 61 62 59 62
Black or green tea drinker 46 53 47 51

All alcoholic beverages combined and wine, beer and spirits separately were significantly associated with mortality in both men and women (LRT P≤0.01). Table 2 shows the age-adjusted and multivariate-adjusted HRs of mortality for these variables. Both men and women showed a decreased risk of death with alcohol intake. Those who drank two or more drinks per day had a 14–16% reduced risk of death compared with non-drinkers. The reduced risk was not limited to one type of alcohol. Both male and female wine drinkers had significantly lower risks of death as did male beer drinkers and female spirit drinkers. Result for analyses excluding the first 5 years of follow-up were essentially unchanged.

Table 2.

Alcoholic beverage consumption and hazard ratio (HR) of death: The Leisure World Cohort Study, 1981–2004

Male Female

Number of
subjects
Number of
deaths
Model 1: HR
(95% CI)
Model 2: HR
(95% CI)
Number of
subjects
Number of
deaths
Model 1: HR
(95% CI)
Model 2: HR
(95% CI)
Alcohol (drinks/day)
None 1076 988 1.0 1.0 2409 2009 1.0 1.0
≤ 1 1242 1117 0.88 (0.81–0.96) 0.90 (0.82–0.98) 3070 2466 0.89 (0.84–0.94) 0.91 (0.86–0.97)
2 1348 1182 0.85 (0.78–0.92) 0.86 (0.79–0.94) 1819 1424 0.86 (0.80–0.92) 0.84 (0.79–0.91)
3 652 581 0.86 (0.78–0.96) 0.86 (0.77–0.95) 769 598 0.92 (0.84–1.01) 0.84 (0.76–0.92)
4+ 662 588 0.91 (0.82–1.01) 0.84 (0.76–0.93) 577 433 0.92 (0.83–1.02) 0.85 (0.76–0.94)
Wine (drinks/day)
None 2326 2135 1.0 1.0 4201 3543 1.0 1.0
<1 1764 1543 0.83 (0.78–0.89) 0.87 (0.81–0.93) 2887 2218 0.84 (0.80–0.89) 0.87 (0.82–0.92)
≥ 1 890 778 0.86 (0.78–0.93) 0.89 (0.82–0.97) 1556 1169 0.83 (0.78–0.89) 0.86 (0.80–0.92)
Beer (drinks/day)
None 2942 2682 1.0 1.0 7347 5995 1.0 1.0
<1 1529 1334 0.89 (0.83–0.95) 0.90 (0.84–0.96) 1069 762 0.82 (0.77–0.89) 0.83 (0.77–0.90)
≥ 1 509 440 0.89 (0.81–0.99) 0.87 (0.78–0.96) 228 173 0.91 (0.78–1.05) 0.93 (0.80–1.05)
Spirits (drinks/day)
None 1770 1591 1.0 1.0 3789 3086 1.0 1.0
<1 1391 1208 0.85 (0.78–0.91) 0.87 (0.80–0.94) 2402 1845 0.92 (0.87–0.97) 0.93 (0.88–0.99)
≥1 1819 1657 0.95 (0.89–1.02) 0.93 (0.87–1.00) 2453 1999 0.98 (0.92–1.03) 0.92 (0.87–0.97)

Model 1: adjusted for age.

Model 2: adjusted for age, smoking, exercise, body mass index, caffeine consumption, and histories of hypertension, angina, heart attack, stroke, diabetes, rheumatoid arthritis, and cancer.

Table 3 shows how change in alcohol consumption over time was related to death in the 5,511 cohort members with follow-up information (LRT P<0.001). At follow-up a greater proportion of surviving participants in our study reported not drinking (36% versus 26% at baseline). Both men and women who were stable drinkers had significantly reduced risks of death compared with stable non-drinkers. Starters also had a significantly lower risk. Women who quit drinking between baseline and follow-up were at increased risk of death.

Table 3.

Change in alcoholic beverage consumption and hazard ratio (HR) of death: the Leisure World Cohort Study, 1981–2004

Male Female

Number of
subjects
Number of
deaths
Model 1: HR
(95% CI)
Model 2: HR
(95% CI)
Number of
subjects
Number of
deaths
Model 1: HR
(95% CI)
Model 2: HR
(95% CI)
Change in consumption
Stable non-drinkers 260 212 1.0 1.0 652 442 1.0 1.0
Quitters 316 254 0.82 (0.68–0.99) 0.84 (0.70–1.02) 783 577 1.16 (1.03–1.32) 1.17 (1.03–1.33)
Starters 72 47 0.70 (0.51–0.96) 0.69 (0.50–0.96) 158 74 0.74 (0.58–0.95) 0.76 (0.59–0.98)
Stable drinkers 1124 805 0.71 (0.61–0.83) 0.67 (0.57–0.78) 2146 1255 0.87 (0.78–0.97) 0.85 (0.76–0.95)

Model 1: adjusted for age.

Model 2: adjusted for age, smoking, exercise, body mass index, caffeine consumption, and histories of hypertension, angina, heart attack, stroke, diabetes, rheumatoid arthritis, and cancer.

Discussion

Our study confirms the beneficial effect of moderate alcohol drinking on all-cause mortality in elderly adults observed in most previous studies. In the Normative Aging Study [10], the Cancer Prevention II Study [11], the Honolulu Heart Study [12], the HALE Project of European men and women [13], population-based cohorts in East Boston, MA, and New Haven, CT [14], New South Wales [15], Copenhagen, Denmark [9], and Barcelona, Spain [16], adults in a CA health maintenance organization [17], and male veteran patients [18], moderate drinkers had lower mortality rates than non-drinkers. In the health maintenance organization study with 2,594 elderly outpatients, those aged 60–69 who drank more than one drink a month but fewer than two drinks a day had the lowest risk of death; in patients aged 70 and older, those drinking one to two drinks did not have lower mortality than patients who drank less than one drink a month [17]. Likewise, no significant association between drinking and mortality was seen in an Iowa cohort [14] or in the US representative National Health and Nutrition Examination Survey (NHANES I) Epidemiology Follow-up Study of males and females aged 60–75 years [19].

Although definitions of light and moderate alcohol consumption vary among the studies, our results confirmed that these levels decrease risk of death in elderly men and women. The reduced risk (15%) we observed was similar to the 20% lower risks observed in the HALE project of European men and women aged 70 to 90 years and followed for 10 years [13] and in the Cancer Prevention II Study of American men and women aged 60–79 years [11]. For males, the average volume of consumption associated with minimum risk has varied between 6 and 19 g/day of alcohol with relative risks between 0.80 and 0.89; for females it is between 3 and 13 g/day with risks between 0.76 and 0.97, where 1 drink is about 10 g of alcohol [58, 23]. Meta-regression analyses of 29 cohort studies including 171,869 deaths estimated reduced mortality at alcohol doses up to 47–60 g/day [7]. We observed a decreased risk in our highest intake category (4+ drinks/per day). Although most studies reveal a protective effect at low doses of alcohol, heterogeneity of results beyond low doses indicate other factors influence the relationship between average volume of consumption and mortality [6]. Such factors may include smoking, dietary factors, and physical activity.

Alcohol consumption, like other human behaviours, varies considerably over time with average intake declining with increasing age [2426]. The greater proportion of surviving participants in our study who reported not drinking at follow-up compared to baseline is probably due to a combination of the cohort’s becoming older and drinking less, secular changes in alcohol consumption with time, and survival selection effects. Decline in consumption is also associated with the development of ill health, particularly cardiovascular disease. This accumulation of ill health and higher mortality risk in ‘sick quitters’ increases the observed benefit in drinkers if non-drinkers include these ex-drinkers [6, 24, 26]. In addition, regular light drinkers tend to have characteristics advantageous to health [26, 27]. Thus, controlling for baseline disease is important, particularly if alcohol history is unknown. With adjustment for baseline medical history as well as body mass index, exercise, and smoking, the lower risks of death among light and moderate alcohol drinkers observed in our study did not change substantially and remained statistically significant although those associated with heavier drinking were reduced. In addition, analyses excluding the first five years of follow-up and looking at changes in alcohol intake over time confirmed the beneficial effect of alcohol intake on mortality. As expected, stable drinkers had reduced risks of death compared with stable non-drinkers. Previous studies, though generally in younger populations, have found persons with stable patterns of light and moderate alcohol intake to have the lowest mortality risk [25, 28, 29]. In our study those who started drinking acquired the mortality risk associated with moderate drinking. Female quitters were at greater risk, suggesting that those who quit may do so for health reasons that affect mortality.

We found no difference in the effects of wine, beer or hard liquor on mortality. Whereas several studies have not observed any differences between wine, beer and spirits in their association to all-cause mortality [2, 17, 30], others have shown more benefit for wine [3134], and/or beer [35], and/or spirits [36]. In many cases, the strongest inverse relation has been observed for the beverage type most often consumed in the population under study.

Experimental, clinical and epidemiological studies have shown that alcohol (not specific to drink type) increases high density lipoprotein cholesterol concentrations, effects tissue plasminogen activator and other components of clotting and fibrinolysis, and decreases platelet aggregation [2, 37]. These mechanisms provide a biological basis for a causal relation between alcohol consumption and lower rates of coronary heart disease and death.

Strengths and limitations

Like most previous studies reporting on the association of potential risk factors and mortality, our investigation is an observational study. In such studies unrecognized confounders or bias may account for the observed results. In general populations, health-promoting habits tend to cluster. For example, alcohol drinkers may differ from non-drinkers in their smoking, exercise habits, body mass index, and medical history. Indeed, we observed these differences in our cohort. They may also differ from non-drinkers in unmeasured ways that influence longevity and so uncontrolled confounding cannot be ruled out in this or any observational study. In addition, our data on alcohol consumption were self-reported through the use of a mailed questionnaire. Self-report of alcohol use is affected not only by selection, but also by culturally determined socially desirable answers. The lack of objective confirmation of actual amount of alcohol consumed, lack of information concerning alcohol intake before baseline, and inclusion of ex-drinkers with never drinkers in the non-drinker category, as well as lack of assessment of drinking patterns place reservations on the observed findings. The subjects in our study were also healthier and better educated than the general population. However, this cohort has the advantages of large size, long follow-up as well as details on the type of alcohol consumed, changes in intake over time, and the ability to adjust for many potential confounders.

Conclusions

We found a small beneficial effect of alcohol intake (15% reduction in risk) on mortality in both elderly men and women. As a beneficial effect was seen for wine, beer and spirits, a substantial proportion of the benefit is likely due to the alcohol content rather than to other components of each drink. We also found that those who quit drinking have increased mortality compared to stable non-drinkers.

Key points.

  • Elderly men and women who drank alcohol had decreased mortality compared with non-drinkers.

  • Those who consumed two or more drinks per day had a 15% reduced risk of death.

  • The lower risk of death was not limited to one type of alcohol.

  • Starters (non-drinkers at baseline who reported drinking at follow-up) acquired the mortality risk associated with moderate drinking.

  • Quitters (baseline drinkers who reported not drinking at follow-up) were at increased risk of death.

Footnotes

Conflicts of interest

No conflicts of interest exist.

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