Abstract
Purpose: Given that self-perceptions of mental and physical health are important predictors of health outcomes and well-being, particularly among older adults, this study focuses on associations among age, alcohol consumption, and indicators of both self-rated mental health and self-rated physical health in a sample of sexual minority women (SMW).
Methods: This study uses a community sample of SMW to examine the associations among age, drinking, and self-rated mental and physical health.
Results: Heavy drinking among older adult SMW (55+) was less prevalent than among young SMW, ages 18–25 and ages 26–39, but similar to rates reported among SMW ages 40–54. In addition, older SMW reported significantly higher levels of self-rated mental health, compared with SMW in the other age groups, but we found no significant associations between age and self-rated physical health. Across all age groups, moderate drinkers reported better self-rated physical health than alcohol abstainers.
Conclusions: Overall, these results suggest that, among SMW, drinking does not decline as sharply with age as it does for heterosexual women in the general population. Given the current and projected increases in the aging population and the risks that heavy drinking presents for morbidity and mortality, interventions aimed at older SMW are needed.
Keywords: : aging, bisexual women, lesbian women, mental health, physical health, substance use/abuse
Introduction
In 2012, women represented 56.4% of the U.S. general population aged 65 and older1; the number of women in this age group is projected to increase steadily until 2030. Importantly, increasing numbers of women are consuming alcohol later in life,2 and older adults have the highest risk of alcohol-related mortality.3 These considerations amplify the need to understand relationships between drinking and health among older women.
Research on sexual minority women's (SMW; e.g., lesbian, bisexual) aging, health, and drinking behavior is important for several reasons. In general, compared with heterosexual women, SMW are less likely to abstain from drinking alcohol and more likely to report alcohol-related problems and to seek alcohol treatment.4–7 Moreover, relative to heterosexual women, SMW are at higher risk of mood and anxiety disorders,8 as well as alcohol use and other substance use disorders,9 potentially burdening them unduly as older adults. Minority stress is the prevailing theoretical explanation for the disproportionately high rates of hazardous drinking among SMW.10,11 The stress of having a stigmatized and marginalized identity is theorized to lead to poorer physical and mental health outcomes, as well as to maladaptive health behaviors. Minority stress may compound the normal effects of aging and put older SMW at higher risk of poorer health outcomes than heterosexual women. Despite alcohol-related disparities between heterosexual and SMW that might extend into older adulthood, with remarkably few exceptions,12–14 little attention has been given to age-related drinking patterns among SMW.
Drinking and aging
A sizable proportion of older adult women in the general population consume alcohol regularly, into their 60s and beyond.15–18 Heterosexual women typically show a robust age-related decline in alcohol use, whereas lesbian women evince smaller and slower declines.19 Thus, older age may be less protective against heavier alcohol consumption among SMW than among heterosexual women.20 Moderate alcohol consumption levels have been associated with lower rates of mortality and morbidity among both middle-aged and older men and women in the United States.18,21 However, because SMW are more likely than heterosexual women to drink, and may continue to drink and drink more heavily as they age, they may be at heightened risk of poor mental and physical health in older adulthood.
Aging and health among SMW
Research on the mental and physical health of older SMW is sparse, and results are mixed. Among adults living in California, compared with their heterosexual counterparts, older SMW ages 50–70 reported equivalent risk of heart disease, hypertension, and diabetes, but higher levels of psychological distress.22 Notably, these findings may not be generalizable given that the sample was at the younger end of the older adult age range and differed demographically from women in the general population.22 Reviews of the extant literature, however, also support an equivalent risk of hypertension and diabetes among lesbian, bisexual, and heterosexual women.23,24 In contrast, population-based studies have shown higher rates of obesity among SMW, ages 50 and older, compared with heterosexual women.23–25 Although older SMW consistently report poorer self-rated mental health and heightened physical disability relative to their heterosexual counterparts,26,27 results of studies are equivocal in regard to sexual identity differences in self-rated physical health among older adult women living in the United States.22,25
There is also little research on associations between aging and drinking among SMW. A recent study of U.S. adults found lower rates of high-risk drinking at older ages among women in a sample of adult sexual minorities ages 50–98.14 A community-based study of predominantly lesbian women recruited in Chicago compared drinking levels across wider age ranges of SMW and found significantly lower past-year rates of heavy episodic drinking and intoxication among SMW ages 51 and older, compared with SMW ages 18–30, yet equivalent odds of being classified as a past-year heavy drinker (>1 oz ethanol/day).19 It remains unknown as to how varying levels of alcohol consumption are associated with perceptions of physical and mental health,18,28 and whether those associations differ by age, particularly among SMW.
Current study
Self-perceptions of health are important contributors to the well-being of older adults,29 and a large proportion of older adults expect deterioration in physical and mental health as they grow older.30 Such negative self-perceptions have been shown to have a detrimental impact on self-rated mental and physical health,31 even after adjusting for objective health indicators.32 Given that self-perceptions of mental and physical health are important predictors of health outcomes and well-being, particularly among older adults,29 this study focuses on associations among age, alcohol consumption, and indicators of both self-rated mental health and self-rated physical health in a sample of SMW. Specifically, we compared alcohol consumption levels among older (55+) and younger age groups (18–25, 26–39, and 40–54) of SMW, and the associations between levels of drinking and self-rated mental and physical health.
Consistent with the Minority Stress Theory,10,11 which posits that SMW's higher rates of hazardous drinking stem from stress due to their marginalized status, we hypothesized that normative age-related declines in drinking reported by women in the general population would be smaller, or absent, among SMW. Associations between moderate drinking and mental health have been somewhat mixed in the general literature,33 and there is little evidence on which to base a hypothesis about self-rated mental health among moderate-drinking SMW. On the one hand, many older SMW have experienced a lifetime of living with chronic stress related to their minority status, which could logically contribute to poorer overall mental health. On the other hand, research has found that adverse experiences ostensibly foster subsequent adaptability and resilience, with resulting advantages for mental health and well-being.34 Research in the general population has shown that moderate drinkers are more sociable and less likely to be depressed than abstainers.35 Based on these general findings and the aforementioned considerations, we examined the exploratory hypothesis that older SMW who were moderate drinkers may have better self-rated mental health than older SMW who abstained from alcohol. Finally, because heterosexual and SMW do not differ biologically, we expected that moderate drinking would provide similar physiological protective effects for physical health. As such, we hypothesized that, similar to findings for women in the general population, older moderate-drinking SMW would report better self-rated physical health than older SMW abstainers.
Methods
Data source
To test our hypotheses, we used data from the Chicago Health and Life Experiences of Women (CHLEW) study. The CHLEW was designed to replicate and extend the National Study of Health and Life Experiences of Women (NSHLEW), a 20-year longitudinal study of alcohol use among women in the general U.S. population.36,37 To date, CHLEW researchers have collected three waves of data from women recruited in the greater Chicago metropolitan area.19,38 The CHLEW includes a broad range of questions about drinking and drinking-related problems, mental and physical health, and life experiences. The current study was approved by the Institutional Review Board at the Principal Investigator's (PI's; T.L.H.) academic institutions (University of Illinois at Chicago and Columbia University).
Sample
In 2000–2001, 447 women (ages 18 or older) who identified as lesbian were recruited from Chicago and the surrounding suburbs by using social network and snowball sampling methods. Eligible women who gave written consent were interviewed at baseline. The wave 2 survey was conducted in 2004–2005 with 384 women (response rate = 86%), and the wave 3 survey was conducted in 2010–2012 with 353 women (response rate = 79%). In wave 3, a supplemental sample of younger women (ages 18–25), Black and Hispanic women, and bisexual women (N = 373) was recruited by using a modified version of respondent-driven sampling.39 This study used wave 3 data only, which included 353 participants from the original 2000–2001 cohort and 373 from the supplemental 2010–2012 sample (N = 726).
Measures
Age
Participants were grouped into four age categories: 18–25, 26–39, 40–54, and 55 and older. Research on age differences in drinking has tended to use census-based age groupings (e.g., 45–64 years, 65 and older).40 However, because only 5% of SMW (n = 36) in the CHLEW sample were older than age 65, we used age 55 as our cutoff for older age. Sensitivity analyses compared outcomes for SMW who were ages 55–64 and those 65 and older and found no significant differences.
Drinking levels
Drinking levels were constructed from reports of wine, liquor, and beer consumption during the past 30 days, converted to ounces of ethanol per day. We used two separate definitions of alcohol-consumption levels: NSHLEW levels36,37 and current National Institute on Alcohol Abuse and Alcoholism (NIAAA) levels.41 NSHLEW is the parent study of the CHLEW, and its drinking level measures have been used for more than 20 years. Our use of this variable supports comparisons across the NSHLEW and CHLEW studies. In the NSHLEW (as in most drinking surveys in the 1980s and 1990s), drinking levels were defined as: light (<0.22 oz ethanol [absolute alcohol]/day; 1–3 standard drinks per week), moderate (0.22–0.99 oz ethanol/day; 4–13 drinks/week), and heavy (1 oz or more/day; 14 or more drinks/week). Drinking levels using current NIAAA guidelines are: light (1–3 drinks per week), moderate (4–7 drinks/week and no more than 3 drinks/day), and heavy drinking (>7 drinks/week or >3 drinks/day).
Self-rated mental health and physical health
Participants were asked how, in general, their mental or emotional health had been during the past year. A separate, parallel question asked about their self-rated physical health during the same time frame. Participants rated their mental and physical health, respectively, on a scale ranging from 1 (very poor) to 6 (excellent). Examinations of quantile normal plots (i.e., Q-Q plots) suggested that the frequency distributions of both outcome variables were relatively normal (mental health: M = 4.01; standard deviation (SD) = 1.17; Skew: −0.26; Kurtosis: −0.06; physical health: M = 4.16; SD = 1.15; Skew: −0.15; Kurtosis: −0.51).
Data analysis
Chi-square tests were used to examine whether demographic category distributions were independent of the age group categories. Univariate analyses examined the distributions of self-rated mental and physical health, respectively, by age groups and drinking levels. In multivariate analysis of covariance (ANCOVA) models (a type of general linear model), estimates were adjusted for the influence of demographic characteristics on self-rated mental and physical health. Covariates included race/ethnicity, education level, relationship status, employment status, and income. All analyses used SPSS version 23 (IBM Corp., Armonk, NY) statistical software. A categorical age group variable, drinking-level variable, and the interaction between the two were entered simultaneously into separate ANCOVA models (with covariates) to predict associations with self-rated physical and mental health, respectively. Significant effects in ANCOVA models were followed with planned contrasts to test hypotheses regarding mental and physical health outcomes among age groups based on drinking levels. Sensitivity analyses (available on request), utilizing nominal regression, suggested that relevant violations of analysis of variance (ANOVA)-based model assumptions did not alter the primary findings and interpretations of this study.
Results
Sample
Table 1 summarizes sample demographics by age group. Chi-square tests of independence showed that relationships between age groups and demographic characteristics were non-randomly distributed in every case. Follow-up comparisons suggested that SMW in differing age groups had unique constellations of demographic features. In comparisons with other age groups, older SMW (ages 55+; the subgroup of primary interest) were more likely to: identify as lesbian (than bisexual), be White, have higher levels of education and income (75,000 or higher), and be unemployed but not seeking employment.
Table 1.
Total (N = 726) | 18–25 | 26–39 | 40–54 | 55+ | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Variable | n | % | n | % | n | % | n | % | n | % | P |
Age | |||||||||||
18–25 | 142 | 19.6 | — | — | — | — | — | — | — | — | — |
26–39 | 232 | 32.0 | — | — | — | — | — | — | — | — | — |
40–54 | 225 | 31.0 | — | — | — | — | — | — | — | — | — |
55+ | 127 | 17.5 | — | — | — | — | — | — | — | — | — |
Sexual identity | <0.001 | ||||||||||
Lesbian | 517 | 74.1 | 89 | 62.7 | 145 | 66.5 | 174 | 81.7 | 109 | 87.2 | |
Bisexual | 181 | 25.9 | 53 | 37.3 | 73 | 33.5 | 39 | 18.3 | 16 | 12.8 | |
Race/ethnicity | <0.001 | ||||||||||
White | 271 | 37.3 | 54 | 38.0 | 75 | 32.3 | 66 | 29.3 | 76 | 59.8 | |
African American | 260 | 35.8 | 44 | 31.0 | 79 | 34.1 | 95 | 42.2 | 42 | 33.1 | |
Hispanic | 168 | 23.1 | 43 | 30.3 | 65 | 28.0 | 54 | 24.0 | 6 | 4.7 | |
Other | 27 | 3.7 | 1 | 0.7 | 13 | 5.6 | 10 | 4.4 | 3 | 2.4 | |
Relationship status | <0.001 | ||||||||||
In a committed relationship/cohabiting | 289 | 38.6 | 34 | 23.9 | 105 | 44.2 | 95 | 39.6 | 55 | 44.0 | |
In a committed relationship/not cohabiting | 157 | 22.3 | 47 | 33.1 | 46 | 19.8 | 47 | 23.1 | 17 | 12.8 | |
Single | 276 | 39.1 | 61 | 43.0 | 80 | 35.9 | 81 | 37.3 | 54 | 43.2 | |
Education | <0.001 | ||||||||||
Less than high school | 57 | 7.9 | 18 | 12.7 | 11 | 4.8 | 23 | 10.2 | 5 | 3.9 | |
High school | 90 | 12.4 | 25 | 17.6 | 24 | 10.4 | 24 | 10.7 | 17 | 13.4 | |
Some college | 229 | 31.6 | 68 | 47.9 | 67 | 29.1 | 71 | 31.6 | 23 | 18.1 | |
College graduate | 153 | 21.1 | 20 | 14.1 | 67 | 29.1 | 39 | 17.3 | 27 | 21.3 | |
Graduate school | 195 | 26.9 | 11 | 7.7 | 61 | 26.5 | 68 | 30.2 | 55 | 43.3 | |
Income | <0.001 | ||||||||||
Less than 20,000 | 222 | 32.0 | 72 | 58.1 | 57 | 25.1 | 62 | 28.1 | 31 | 25.4 | |
20,000–39,000 | 130 | 18.7 | 23 | 18.5 | 56 | 24.7 | 30 | 13.6 | 21 | 17.2 | |
40,000–74,999 | 170 | 24.5 | 21 | 16.9 | 59 | 26.0 | 60 | 27.1 | 30 | 24.6 | |
75,000 or more | 172 | 24.8 | 8 | 6.5 | 55 | 24.2 | 69 | 31.2 | 40 | 32.8 | |
Employment | <0.001 | ||||||||||
Full time | 366 | 50.6 | 49 | 34.5 | 145 | 62.8 | 128 | 56.9 | 44 | 34.9 | |
Part time | 127 | 17.5 | 40 | 28.2 | 35 | 15.2 | 38 | 16.9 | 14 | 11.1 | |
Unemployed-looking | 118 | 16.3 | 39 | 27.5 | 36 | 15.6 | 33 | 14.7 | 10 | 7.9 | |
Unemployed-not looking | 113 | 15.6 | 14 | 9.9 | 15 | 6.5 | 26 | 11.6 | 58 | 46.0 |
Due to missing data not all columns sum to the total sample size of 726.
Associations between age and drinking levels
As shown in Table 2, SMW ages 55 or older were significantly less likely to be heavy drinkers (10.3%) than SMW ages 18–25 (24.6%) and 26–39 (19.4%), but did not differ from those who were 40–54 (14.4%). SMW ages 55+ (24.6%) and 40–54 (20.3%) were significantly less likely to be moderate drinkers than those ages 18–25 (34.5%) and 26–39 (32.3%). Rates of light drinking were higher among SMW ages 55+ (32.5%) and 40–54 (35.1%), compared with those ages 25 and younger (27.5%); SMW ages 26–39 (31.5%) were not statistically different compared with any other age group. SMW ages 55 and older (32.5%) and 40–54 (30.2%) were significantly more likely to be abstainers than those ages 26–39 (16.8%) and ages 18–25 (13.4%). We found no significant difference in rates of abstention between SMW who were 40–54 and those 55 years or older.
Table 2.
18–25 | 26–39 | 40–54 | 55+ | Total | ||||||
---|---|---|---|---|---|---|---|---|---|---|
n | % | n | % | n | % | n | % | n | % | |
CHLEW drinking levels (past 30 days) | ||||||||||
Abstainers | 19 | 13.41,b | 39 | 16.81,b | 67 | 30.21,a | 41 | 32.51,a | 166 | 23.0 |
Light | 39 | 27.52,b | 73 | 31.52,a,b | 78 | 35.11,a | 41 | 32.52,a | 231 | 32.0 |
Moderate | 49 | 34.52,3,b | 75 | 32.32,b | 45 | 20.31,a | 31 | 24.62,3,a | 200 | 27.7 |
Heavy | 35 | 24.63,4,b | 45 | 19.42,b | 32 | 14.41,a | 13 | 10.33,4,a | 125 | 17.3 |
Rows with differing numerical superscripts indicate significant differences in the distribution of drinker types within each age cohort. Columns with differing alphabetical superscripts indicate significant differences in the distribution of age cohorts for a particular type of drinker.
CHLEW, Chicago Health and Life Experiences of Women.
Associations between age and self-rated mental health
We used general linear modeling to examine unadjusted (results not shown in tables) and adjusted (Table 3) associations among age, drinking levels, and self-rated past-year mental health. Unadjusted analyses showed that self-rated mental health was distinct among age groups, F (3, 706) = 3.665, P < 0.05. Planned contrasts showed that women ages 55 and older reported significantly better self-rated mental health in the past year than any other age group (Table 4). When key covariates were added to the model, self-rated mental health remained statistically different by age group, F (3, 643) = 2.940, P < 0.05. Planned contrasts, in adjusted models, again showed that the oldest age group reported significantly better past-year mental health than any other age group (55+ vs. 40–54: Est. = −0.42, standard error (SE) = 0.15, P = 0.006; 55+ vs. 26–39: Est. = −0.50, SE = 0.16, P = 0.001; 55+ vs. 25 and younger: Est. = −0.47, SE = 0.18, P = 0.01). There was no significant association between drinking level and self-rated mental health. Adjusted and unadjusted interactions in ANOVA models between drinking levels and age cohort in predicting self-rated mental health were not significant.
Table 3.
Self-rated mental health | Self-rated physical health | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
SS | df | MS | F | P | SS | df | MS | F | P | |
Covariates | ||||||||||
Race/ethnicity | 3.773 | 2 | 1.886 | 1.447 | 0.236 | 16.808 | 2 | 8.404 | 6.914 | 0.001 |
Education level | 6.153 | 4 | 1.538 | 1.180 | 0.318 | 11.246 | 4 | 2.812 | 2.313 | 0.056 |
Relationship status | 5.191 | 3 | 1.730 | 1.327 | 0.264 | 12.630 | 3 | 4.210 | 3.464 | 0.016 |
Employment status | 2.377 | 3 | 0.792 | 0.608 | 0.610 | 9.837 | 3 | 3.279 | 2.698 | 0.045 |
Income | 5.612 | 3 | 1.871 | 1.435 | 0.231 | 8.964 | 3 | 2.988 | 2.458 | 0.062 |
Main effects | ||||||||||
Age cohort | 15.142 | 3 | 5.047 | 3.873 | 0.009 | 5.987 | 3 | 1.996 | 1.642 | 0.178 |
Drinking level | 1.601 | 3 | 0.534 | 0.409 | 0.746 | 4.647 | 3 | 1.549 | 1.274 | 0.282 |
Interaction | ||||||||||
Age cohort × drinking level | 21.531 | 9 | 2.392 | 1.836 | 0.059 | 12.612 | 9 | 1.401 | 1.153 | 0.323 |
SS, Sum of Squares; MS, Mean Square.
Table 4.
18–25 | 26–39 | 40–54 | 55+ | Total | ||||||
---|---|---|---|---|---|---|---|---|---|---|
M | SD | M | SD | M | SD | M | SD | M | SD | |
Self-rated mental health | ||||||||||
Abstainers | 3.47 | 1.02 | 4.08 | 1.24 | 4.10 | 1.25 | 4.17a | 1.36 | 4.04a | 1.26 |
Light | 4.00 | 1.17 | 3.73 | 0.93 | 4.17 | 1.23 | 4.50a | 1.11 | 4.06a | 1.14 |
Moderate | 4.02 | 1.01 | 4.00 | 1.01 | 3.98 | 1.36 | 4.06a | 1.29 | 4.01a | 1.13 |
Heavy | 3.661 | 1.08 | 3.981 | 0.99 | 3.721 | 1.14 | 4.772,a | 1.01 | 3.90a | 1.10 |
Total | 3.851 | 1.09 | 3.921 | 1.03 | 4.051 | 1.25 | 4.312 | 1.24 | 4.01 | 1.16 |
Self-rated physical health | ||||||||||
Abstainers | 4.05 | 1.35 | 4.15 | 1.16 | 4.12 | 1.17 | 3.70a | 1.32 | 4.02a | 1.23 |
Light | 4.46 | 1.07 | 4.15 | 1.13 | 4.00 | 1.29 | 3.83a | 1.32 | 4.10a | 1.22 |
Moderate | 4.29 | 1.02 | 4.48 | 1.06 | 4.27 | 1.19 | 4.52b | 1.18 | 4.39b | 1.10 |
Heavy | 4.201 | 0.76 | 4.131 | 0.89 | 3.911 | 1.03 | 4.381,a,b | 1.19 | 4.12a,b | 0.93 |
Total | 4.281 | 1.03 | 4.251 | 1.07 | 4.081 | 1.20 | 4.021 | 1.81 | 4.16 | 1.15 |
Columns with differing numerical superscripts indicate significant differences in self-ratings of mental or physical health outcomes across age groups (Referent: 55+). Rows with differing alphabetical superscripts indicate significant differences in self-rated mental or physical health outcomes across drinker types (Referent: Abstainers).
SD, standard deviation.
Associations between age and self-rated physical health
We found no significant effect of age cohort on self-rated physical health. However, the association between drinking levels and self-rated physical health in unadjusted analyses was significant, F (3, 706) = 3.815, P = 0.01. According to pairwise contrasts, moderate drinkers reported significantly better physical health than abstainers and light drinkers in unadjusted models (see Table 4; moderate vs. abstainers: Est. = 0.38, SE = 0.13, P = 0.003; moderate vs. light: Est. = 0.28, SE = 0.12, P = 0.017). Comparisons revealed no significant differences in self-rated physical health between abstainers and light (abstainers vs. light: Est. = −0.10, SE = 0.13, P = 0.42) or heavy (abstainers vs. heavy: Est. = −0.15, SE = 0.15, P = 0.32) drinkers. Adjusting for covariates, the association between drinking levels and self-rated physical health was no longer significant. The interaction between age and drinking levels in relation to self-rated physical health was non-significant in both unadjusted and adjusted analyses.
Stratified associations between age and self-rated mental and physical health
We stratified models to examine age differences in self-rated mental and physical health among moderate and heavy drinkers (results not shown in tables) and among older SMW (age 55+). We found an unadjusted effect, suggesting that self-rated mental health differed by age group, F (3, 317) = 2.663, P < 0.05, but there was no significant interaction between age and drinking level. Adjusting for covariates, age differences in self-rated mental health were attenuated among moderate and heavy drinkers, F (3, 290) = 2.413, P = 0.067. Although the interaction between drinking level and age was still not significant, F (3, 290) = 2.463, P = 0.063, post-hoc comparisons suggested that older (55+) heavy drinkers reported better mental health than their younger, heavy-drinking counterparts. Among moderate and heavy drinkers, there was no association between age and physical health in either adjusted or unadjusted analyses.
Among older SMW, we found no unadjusted or adjusted effects of drinking level on self-rated mental health. There was an unadjusted effect of drinking level on self-rated physical health F (3, 126) = 2.825, P < 0.05; moderate drinkers reported significantly better physical health compared with abstainers. Adjusting for covariates, this main effect of drinking level was attenuated, F (3, 126) = 2.331, P = 0.078, but the pairwise comparison between moderate drinkers and abstainers remained significant.
Supplemental analyses
We ran additional analyses to examine whether using the current NIAAA guidelines for women's drinking risk levels41 changed the associations among age, drinking levels, and self-rated health. Using NIAAA's categories “never drink alcohol,” “low risk,” “increased risk,” and “high risk”41 we found no associations with either self-rated mental health or physical health.
Discussion
We found few differences in drinking levels among SMW based on age. Older SMW (55+) were less likely than SMW in the two younger age groups to be heavy drinkers and more likely than SMW in the two younger age groups to be abstainers. However, in support of our first hypothesis, unlike studies of drinking among women in the general population, we did not see marked age-related declines in drinking.
Consistent with research in the general population,42 we found that the oldest women in the study rated their mental health most positively. One possible reason for the higher levels of self-rated mental health among older SMW may be related to “crisis competence.”43,44 The crisis competence theory suggests that among those who successfully navigate sexual minority-related stressors in early life, skills may develop that support successful navigation of aging.45,46 Thus, it is possible that the higher self-rated mental health among older SMW in our sample may be a result of resilience developed over time.
Among women in our sample, self-rated mental health was generally not associated with drinking levels. One exception to this was that among heavy drinkers, older SMW reported better self-rated mental health than did their younger counterparts. By contrast, Fredriksen-Goldsen et al. showed that older lesbian, gay, and bisexual (LGB) adults, particularly those 80 years or older, reported lower physical quality of life than younger LGB adults.27 Moreover, previous research has also demonstrated that older SMW self-report “fair” or “poor” physical health and higher levels of physical disability more often than their heterosexual counterparts.22 Our finding of no association between age group and self-rated physical health may have been influenced by demographic factors other than age. Indeed, in our highly diverse sample, there were significant associations between race/ethnicity and self-rated physical health and between relationship status and self-rated physical health, indicating that these factors may play a larger role in perceptions of physical health among SMW than chronological age itself. Prior research suggests that a minority race/ethnicity is associated with poorer physical health among older LGBT (lesbian, gay, bisexual, and transgender) adults.47 Multiply marginalized identities may increase overall risk of poor physical health, particularly when coupled with a lack of financial and social resources. Future research should investigate racial/ethnic differences in the associations among aging, alcohol use, and health outcomes among SMW.
We found that SMW who were moderate drinkers reported more positive perceptions of physical health than light drinkers or abstainers, although this association was not significant in adjusted models. We also found no differences in self-rated physical health between heavy and light or heavy and moderate drinkers, even among older (55+) SMW. These findings are consistent with previous research in the general population.18,42 Together, extant findings and our own results suggest that moderate alcohol consumption among women may not be detrimental to self-rated physical and mental health. Aside from subjective health effects, previous research has also shown that moderate alcohol consumption may be differentially protective among middle-aged and older adults in the United States,48,49 whereas abstention may be associated with poorer health and increased mortality.18,49
Notably, slightly more than 10% of older SMW in the study were considered heavy drinkers. Although the rate of heavy drinking was significantly lower in this age group than in the 18–25 group, it is more than double the rate of heavy drinking among older women in the general population.50 Given that heavy drinking is associated with elevated rates of morbidity and mortality,50 this disparity is of concern. Our finding that rates of heavy drinking in SMW are less likely to attenuate with age may be partially attributable to lower adherence to traditional heteronormative gender roles, such as marriage and parenting, which are associated with less drinking among women in the general population.5,19 Until 2015, in most states in the United States, same-sex couples could not legally marry, thereby limiting options for formalization and legal recognition of relationships. However, marriage and, in some studies, cohabitation have been associated with lower drinking levels in heterosexual couples51 and in cohabiting and committed relationships among SMW.52 Lack of legal recognition of same-sex relationships also limits financial and psychological benefits, which may increase stress and hazardous drinking.52 Future research should examine age-related changes in drinking among SMW that may be associated with changes in marriage laws.
The Minority Stress Theory10,11 posits that stress from marginalized identities has substantial negative effects on physical and mental health outcomes, and stress has been found to partially account for the higher rates of heavy and hazardous drinking among SMW overall. Smaller age-related declines in drinking among SMW5,19,53 may be related to the disproportionate accumulation of stress across the lifespan.19 However, given our finding that older SMW perceived themselves to be more mentally/emotionally healthy than younger SMW, future research is needed to better understand factors that contribute to this smaller age-related decline in drinking. In particular, qualitative research may provide a fuller understanding of the motivations associated with drinking among older SMW. Such research could also improve understanding of the risks and benefits associated with drinking among older SMW.
Limitations
This study was among the first to examine, across age groups, the association between level of alcohol consumption and subjective mental and physical health among lesbian and bisexual women. However, several limitations may affect the generalizability of our findings. First, we were unable to directly compare findings from SMW with those from heterosexual women, although we framed our results in relation to findings from women in the general population. Second, most studies of older adults use an age cutoff of 65 and older, but given the relatively small number of women older than age 65 in the CHLEW study, we used age 55 and older to define older SMW. In support of this decision, we compared outcomes between SMW ages 55–64 and those ages 65 and older and found no significant differences. Third, the older women in our sample were predominantly White, highly educated, and had higher incomes, which may limit the generalizability to SMW more broadly. Fourth, mental and physical health were subjectively assessed. Nevertheless, prior literature suggests that subjective perceptions of health are often more predictive of health-related outcomes than are objective health indicators.32 Finally, because these findings were based on cross-sectional data, we were unable to address directionality of the association between abstention and self-rated health. For example, rather than assuming that abstention leads to poorer physical health, abstainers may have stopped drinking alcohol due to medical conditions or to medication contraindications.3,42 Prospective, longitudinal studies are needed to more thoroughly test our hypotheses. Despite these limitations, the current findings provide insight into the relationships between alcohol consumption and self-rated health among SMW of varying ages.
Conclusion
By 2030, ∼3 million people ages 65 and older in the United States are expected to identify as sexual minorities,54 suggesting a critical need to understand factors supporting healthy aging in this population. Our finding that SMW's drinking does not decline sharply with age raises concerns about risk of alcohol-related morbidity and mortality, despite the concomitant improved self-rated mental health and lack of age-related decline in self-rated physical health. Given our rapidly aging population, if the baby boomer generation carries its heavier drinking patterns into older age, we may see higher levels of drinking among women overall than have been seen historically, perhaps resulting in smaller disparities between older SMW and heterosexual women. However, our findings suggest a strong need for intervention among older heavy-drinking SMW; although they may perceive their health relatively positively, their drinking behaviors may have negative, unforeseen implications for morbidity and mortality. Thus, interventions should target the underlying reasons for the maintenance of heavier drinking patterns into older adulthood. Further, LGBT-affirmative alcohol interventions should address the potential long-term impacts of stigma and marginalization and the possibly lower levels of social support among SMW, particularly in older adulthood.
Acknowledgments
This work was supported by Research Grant No. R01 AA13328 (T.L.H., Principal Investigator) from the U.S. NIAAA/National Institutes of Health (NIH). The authors would like to express their gratitude to the women of Chicago who participated in the CHLEW study. They would also like to thank Perry Benson for his assistance with data management.
Disclaimer
The content is the sole responsibility of the authors and does not necessarily represent the official views of NIAAA or NIH.
Author Disclosure Statement
No competing financial interests exist.
References
- 1.Ortman JM, Velkoff VA, Hogan H: An Aging Nation: The Older Population in the United States. Current Population Reports. Washington, DC: United States Census Bureau, 2014, pp 1–28 [Google Scholar]
- 2.Kerr WC, Greenfield TK, Bond J, et al. : Age-period-cohort modelling of alcohol volume and heavy drinking days in the US National Alcohol Surveys: Divergence in younger and older adult trends. Addiction 2009;104:27–37 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Holahan CJ, Schutte KK, Brennan PL, et al. : Late-life alcohol consumption and 20-year mortality. Alcohol Clin Exp Res 2010;34:1961–1971 [DOI] [PubMed] [Google Scholar]
- 4.Drabble L, Midanik LT, Trocki K: Reports of alcohol consumption and alcohol-related problems among homosexual, bisexual and heterosexual respondents: Results from the 2000 National Alcohol Survey. J Stud Alcohol 2005;66:111–120 [DOI] [PubMed] [Google Scholar]
- 5.Hughes TL, Wilsnack SC, Kantor LW: The influence of gender and sexual orientation on alcohol use and alcohol-related problems: Toward a global perspective. Alcohol Res 2016;38:121–132 [PMC free article] [PubMed] [Google Scholar]
- 6.Hughes T, Szalacha LA, McNair R: Substance abuse and mental health disparities: Comparisons across sexual identity groups in a national sample of young Australian women. Soc Sci Med 2010;71:824–831 [DOI] [PubMed] [Google Scholar]
- 7.McCabe SE, Bostwick WB, Hughes TL, et al. : The relationship between discrimination and substance use disorders among lesbian, gay, and bisexual adults in the United States. Am J Public Health 2010;100:1946–1952 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Bostwick WB, Boyd CJ, Hughes TL, McCabe SE: Dimensions of sexual orientation and the prevalence of mood and anxiety disorders in the United States. Am J Public Health 2010;100:468–475 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.McCabe SE, Hughes TL, Bostwick WB, et al. : Sexual orientation, substance use behaviors and substance dependence in the United States. Addiction 2009;104:1333–1345 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Meyer IH: Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: Conceptual issues and research evidence. Psychol Bull 2003;129:674–697 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Meyer IH: Minority stress and mental health in gay men. J Health Soc Behav 1995;36:38–56 [PubMed] [Google Scholar]
- 12.Boehmer U, Miao X, Linkletter C, Clark MA: Adult health behaviors over the life course by sexual orientation. Am J Public Health 2012;102:292–300 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hughes TL: Developing a research career focusing on a stigmatized and marginalized population: Sexual minority women's drinking. Subst Abus 2015;36:144–148 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Bryan AEB, Kim HJ, Fredriksen-Goldsen KI: Factors associated with high-risk alcohol consumption among LGB older adults: The roles of gender, social support, perceived stress, discrimination, and stigma. Gerontologist 2017;57(Suppl. 1):S95–S104 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Chan AM, von Mühlen D, Kritz-Silverstein D, Barrett-Connor E: Regular alcohol consumption is associated with increasing quality of life and mood in older men and women: The Rancho Bernardo Study. Maturitas 2009;62:294–300 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Delker E, Brown Q, Hasin DS: Alcohol consumption in demographic subpopulations: An epidemiologic overview. Alcohol Res 2016;38:7–15 [PMC free article] [PubMed] [Google Scholar]
- 17.Bobo JK, Greek AA, Klepinger DH, Herting JR: Alcohol use trajectories in two cohorts of U.S. women aged 50 to 65 at baseline. J Am Geriatr Soc 2010;58:2375–2380 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Lang I, Wallace RB, Huppert FA, Melzer D: Moderate alcohol consumption in older adults is associated with better cognition and well-being than abstinence. Age Ageing 2007;36:256–261 [DOI] [PubMed] [Google Scholar]
- 19.Hughes TL, Wilsnack SC, Szalacha LA, et al. : Age and racial/ethnic differences in drinking and drinking-related problems in a community sample of lesbians. J Stud Alcohol 2006;67:579–590 [DOI] [PubMed] [Google Scholar]
- 20.Green KE, Feinstein BA: Substance use in lesbian, gay, and bisexual populations: An update on empirical research and implications for treatment. Psychol Addict Behav 2012;26:265–278 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Moore AA, Giuli L, Gould R, et al. : Alcohol use, comorbidity, and mortality. J Am Geriatr Soc 2006;54:757–762 [DOI] [PubMed] [Google Scholar]
- 22.Wallace SP, Cochran SD, Durazo EM, Ford CL: The health of aging lesbian, gay and bisexual adults in California. Policy Brief UCLA Cent Health Policy Res 2011;(PB2011–PB2012):1–8 [PMC free article] [PubMed] [Google Scholar]
- 23.Eliason MJ: Chronic physical health problems in sexual minority women: Review of the literature. LGBT Health 2014;1:259–268 [DOI] [PubMed] [Google Scholar]
- 24.Simoni JM, Smith L, Oost KM, et al. : Disparities in physical health conditions among lesbian and bisexual women: A systematic review of population-based studies. J Homosex 2017;64:32–44 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Fredriksen-Goldsen KI, Kim HJ, Barkan SE, et al. : Health disparities among lesbian, gay, and bisexual older adults: Results from a population-based study. Am J Public Health 2013;103:1802–1809 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Fredriksen-Goldsen KI, Kim HJ, Shui C, Bryan AEB: Chronic health conditions and key health indicators among lesbian, gay, and bisexual older US adults, 2013–2014. Am J Public Health 2017;107:1332–1338 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Fredriksen-Goldsen KI, Kim HJ, Shiu C, et al. : Successful aging among LGBT older adults: Physical and mental health-related quality of life by age group. Gerontologist 2015;55:154–168 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Vogeltanz ND, Wilsnack SC, Vickers KS, Kristjanson AP: Sociodemographic characteristics and drinking status as predictors of older women's health. J Gen Psychol 1999;126:135–147 [DOI] [PubMed] [Google Scholar]
- 29.Pinquart M: Correlates of subjective health in older adults: A meta-analysis. Psychol Aging 2001;16:414–426 [DOI] [PubMed] [Google Scholar]
- 30.Sarkisian CA, Hays RD, Mangione CM: Do older adults expect to age successfully? The association between expectations regarding aging and beliefs regarding healthcare seeking among older adults. J Am Geriatr Soc 2002;50:1837–1843 [DOI] [PubMed] [Google Scholar]
- 31.Levy BR, Slade MD, Kasl SV: Longitudinal benefit of positive self-perceptions of aging on functional health. J Gerontol B Psychol Sci Soc Sci 2002;57:P409–P417 [DOI] [PubMed] [Google Scholar]
- 32.Stewart TL, Chipperfield JG, Perry RP, Weiner B: Attributing illness to “old age”: Consequences of a self-directed stereotype for health and mortality. Psychol Health 2012;27:881–897 [DOI] [PubMed] [Google Scholar]
- 33.El-Guebaly N: Investigating the association between moderate drinking and mental health. Ann Epidemiol 2007;17:S55–S62 [Google Scholar]
- 34.Seery MD, Holman EA, Silver RC: Whatever does not kill us: Cumulative lifetime adversity, vulnerability, and resilience. J Pers Soc Psychol 2010;99:1025–1041 [DOI] [PubMed] [Google Scholar]
- 35.Skogen JC, Harvey SB, Henderson M, et al. : Anxiety and depression among abstainers and low-level alcohol consumers. The Nord-Trøndelag Health Study. Addiction 2009;104:1519–1529 [DOI] [PubMed] [Google Scholar]
- 36.Wilsnack RW, Kristjanson AF, Wilsnack SC, Crosby RD: Are U.S. women drinking less (or more)? Historical and aging trends, 1981–2001. J Stud Alcohol 2006;67:341–348 [DOI] [PubMed] [Google Scholar]
- 37.Wilsnack RW, Wilsnack SC, Klassen AD: Women's drinking and drinking problems: Patterns from a 1981 national survey. Am J Public Health 1984;74:1231–1238 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Everett BG, Hatzenbuehler ML, Hughes TL: The impact of civil union legislation on minority stress, depression, and hazardous drinking in a diverse sample of sexual-minority women: A quasi-natural experiment. Soc Sci Med 2016;169:180–190 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Martin K, Johnson TP, Hughes TL: Using respondent driven sampling to recruit sexual minority women. Surv Pract 2015;8:pii: [PMC free article] [PubMed] [Google Scholar]
- 40.Howden LM, Meyer JA: Age and sex composition: 2010. 2010 census briefs. Washington, DC: United States Census Bureau, 2011, pp 1–16 [Google Scholar]
- 41.National Institute on Alcohol Abuse and Alcoholism. Drinking levels defined. Available at www.niaaa.nih.gov/alcohol-health/overview-alcohol-consumption/moderate-binge-drinking Accessed June27, 2017
- 42.Byles J, Young A, Furuya H, Parkinson L: A drink to healthy aging: The association between older women's use of alcohol and their health-related quality of life. J Am Geriatr Soc 2006;54:1341–1347 [DOI] [PubMed] [Google Scholar]
- 43.McParland J, Camic PM: Psychosocial factors and ageing in older lesbian, gay and bisexual people: A systematic review of the literature. J Clin Nurs 2016;25:3415–3437 [DOI] [PubMed] [Google Scholar]
- 44.Fredriksen-Goldsen KI, Muraco A: Aging and sexual orientation: A 25-year review of the literature. Res Aging 2010;32:372–413 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Schope RD: Who's afraid of growing old? Gay and lesbian perceptions of aging. J Gerontol Soc Work 2005;45:23–39 [DOI] [PubMed] [Google Scholar]
- 46.Barrett A, Barbee H: Variation in subjective aging by sexual minority status. Int J Aging Hum Dev 2017;85:44–66 [DOI] [PubMed] [Google Scholar]
- 47.Kim HJ, Jen S, Fredriksen-Goldsen KI: Race/ethnicity and health-related quality of life among LGBT older adults. Gerontologist 2017;57(Suppl. 1):S30–S39 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Boissoneault J, Lewis B, Nixon SJ: Acute behavioral and long-term health effects of moderate alcohol use in older adults. Curr Addict Rep 2016;3:62–74 [Google Scholar]
- 49.Knott CS, Coombs N, Stamatakis E, Biddulph JP: All cause mortality and the case for age specific alcohol consumption guidelines: Pooled analyses of up to 10 population based cohorts. BMJ 2015;350:h384. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Merrick EL, Horgan CM, Hodgkin D, et al. : Unhealthy drinking patterns in older adults: Prevalence and associated characteristics. J Am Geriatr Soc 2008;56:214–223 [DOI] [PubMed] [Google Scholar]
- 51.Fischer JL, Wiersma JD: Romantic relationships and alcohol use. Curr Drug Abuse Rev 2012;5:98–116 [DOI] [PubMed] [Google Scholar]
- 52.Veldhuis CB, Hughes TL, Drabble LA, et al. : Relationship status and drinking-related outcomes in a community sample of lesbian and bisexual women. J Soc Pers Relat 2017, pp 1–25 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Hughes TL, Wilsnack SC, Kristjanson AF: Substance use and related problems among U.S. women who identify as mostly heterosexual. BMC Public Health 2015;15:803. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Movement Advancement Project (MAP) and Services & Advocacy for Gay, Lesbian, Bisexual & Transgender Elders (SAGE): Improving the Lives of LGBT Older Adults. New York, 2010, pp 1–90 [Google Scholar]