Drinking Patterns and Abstinence Among the Elderly

Douglass, Richard L.; Schuster, E.; McClelland, Steven C.

doi:10.3109/10826088809039206

Cited by 26 publications

(22 citation statements)

References 7 publications

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“…Consistent with Douglass et al's (1988) and Stall's (1987) suppositions, we showed in previous research an association between overall health burden and lower alcohol consumption, and fewer drinking problems, at 10-and 20-year follow-ups (Moos et al, 2009). We showed also that baseline drinking beyond recommended guidelines, smoking, and heavier reliance on avoidance coping foreshadow within-individual decline in alcohol consumption during "early" late life (i.e., from about age 60 to about age 70; Brennan et al, 2010).…”

Section: Predictors Of Late-life Drinking Trajectoriessupporting

confidence: 64%

“…Few studies have examined biological, psychological, and social factors proposed by Douglass et al (1988) and Stall (1987) to infl uence late-life drinking trajectories. With regard to biological infl uences, older men identify health problems as a key reason that they cut down on or quit drinking (Stall, 1986b;Walton et al, 2000).…”

Section: Predictors Of Late-life Drinking Trajectoriesmentioning

confidence: 99%

“…Predictors of late-life drinking trajectories may include distal historical and social infl uences, as well as more proximal biological, psychological, and social effects (Douglass et al, 1988;Stall, 1987). Macro-historical contexts (e.g., Prohibition) and social demographic characteristics may place formative stamps on late-life drinking trajectories.…”

Section: Predictors Of Late-life Drinking Trajectoriesmentioning

confidence: 99%

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Twenty-Year Alcohol-Consumption and Drinking-Problem Trajectories of Older Men and Women

Brennan¹,

Schutte²,

Moos³

et al. 2011

J. Stud. Alcohol Drugs

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ABSTRACT. Objective: The aim of this study was to describe older adults' 20-year alcohol-consumption and drinking-problem trajectories, identify baseline predictors of them, and determine whether older men and women differ on late-life drinking trajectory characteristics and predictors. Method: Two-group simultaneous latent growth modeling was used to describe the characteristics and baseline predictors of older community-residing men's (n = 399) and women's (n = 320) 20-year drinking trajectories. Chi-square difference tests of increment in fi t of latent growth models with and without gender invariance constraints were used to determine gender differences in drinking trajectory characteristics and predictors. Results: Unconditional quadratic growth models best described older individuals' within-individual, 20-year drinking trajectories, with alcohol consumption following an average pattern of delayed decline, and drinking problems an average pattern of decline followed by leveling off. On average, older men declined in alcohol consumption somewhat later than did older women. The best baseline predictors of more rapid decline in alcohol consumption and drinking problems were drinking variables indicative of heavier, more problematic alcohol use at late middle age. Conclusions: The course of alcohol consumption and drinking problems from late middle age onward is one of net decline, but this decline is neither swift nor invariable. Gender differences in the timing of decline in drinking suggest that ongoing monitoring of alcohol consumption may be especially important for older men. Further research is needed to identify factors known at late middle age that prospectively explain long-term change in late-life use of alcohol. (J. Stud Alcohol Drugs, 72, 308-321, 2011) (Ahlstrom, 2008). However, there is scarce evidence to support this view, and it has been drawn from studies with important design and analytic limitations. Furthermore, there has been almost no research to identify predictors of late-life decline in alcohol consumption and drinking problems. From a public health perspective, it is important to identify factors known at late middle age that prospectively infl uence older adults' subsequent drinking trajectories; this might inform development of interventions aimed at promoting healthier late-life drinking practices.This study builds on others' and our previous work in this area Moos et al., 2009Moos et al., , 2010 by using latent growth modeling to describe the 20-year drinking trajectories of men and women as they mature from late middle age (about age 55-65) through "later" old age (about age 75-85). In addition, it extends earlier research by determining whether key demographic, health-related, coping, and social context characteristics known at late middle age predict the level and shape of older individuals' subsequent 20-year drinking trajectories. Because so little is known about older women's drinking behavior as distinct from that of older men, this study also addresses whether gender...

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Section: Predictors Of Late-life Drinking Trajectoriessupporting

confidence: 64%

Section: Predictors Of Late-life Drinking Trajectoriesmentioning

confidence: 99%

Section: Predictors Of Late-life Drinking Trajectoriesmentioning

confidence: 99%

See 1 more Smart Citation

Twenty-Year Alcohol-Consumption and Drinking-Problem Trajectories of Older Men and Women

Brennan¹,

Schutte²,

Moos³

et al. 2011

J. Stud. Alcohol Drugs

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“…The prevalence of alcohol problems in elderly patients related to 2 diagnostic criteria: a positive CAGE questionnaire (2 points or more) and an alcohol-related discharge diagnosis. 24,[27][28][29][30][31]. In our study a very statistically significant association was found between higher alcohol use, higher educational level and higher family income.…”

Section: Discussionsupporting

confidence: 48%

Alcohol Use Disorders in French University Hospital Patients

Ganry¹,

Joly²,

Stan-Quintin³

et al. 2000

Eur Addict Res

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The adult patients of the somatic departments of Amiens University Hospital were screened on a randomly selected day by interviewers who examined them using a structured questionnaire regarding lifestyle, with the CAGE questionnaire, and their daily alcohol consumption. The medical histories of all patients were collected. A patient was considered having an alcohol problem if one or more of the following criteria was fulfilled: (1) a CAGE questionnaire score of 2 or more positive answers; (2) an alcohol-related diagnosis. In total, 869 patients fulfilled the entry criteria (377 patients were excluded owing to predefined exclusion criteria). A hundred and sixty-seven patients (19.2%) fulfilled 1 or 2 of the criteria for an alcohol problem. Eighty-eight patients (10.1%) had an alcohol-related discharge diagnosis. The prevalence of patients with a positive CAGE score was 13.5% and was significantly higher among male patients (22.7%) than among female patients (5.5%). The frequency of a higher socioeconomic status or the status of ‘living alone’ increased significantly with alcohol consumption.

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“…Lower alcohol use in older age groups has been observed in several cross-sectional studies (Douglass et al, 1988;McKim and Quinlan, 1991). However, one longitudinal study from the US found an increase over time in the mean alcohol intake of those who drank in all age groups (Gordon and Kannel, 1983).…”

Section: Introductionmentioning

confidence: 99%