OBJECTIVE: We examined latent classes of alcohol use among current drinkers ages 60 and older and explored risk factors associated with class. METHOD: We used a subsample of older current drinkers (> or =60 years; n = 4,646) from the National Epidemiologic Survey on Alcohol and Related Conditions. Employing alcohol consumption and diagnostic indicators, latent class analysis was used to identify classes. We analyzed the associations between class membership and sociodemographic, psychiatric, health, and mental health variables using multinomial and linear regression. RESULTS: Latent class analysis identified three latent classes. Individuals in the low-risk drinker class (89.17%) displayed low endorsement of heavy episodic use, at-risk consumption, and alcohol abuse/dependence criteria. Individuals in the moderate-risk drinker class (9.65%) were more likely to exceed consumption guidelines, and those in the high-risk drinker class (1.17%) displayed high probabilities of both Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV), criteria and risky alcohol consumption items. Female gender, older age, and African-American race were associated with decreased risk of being a moderate-risk drinker. Being the adult child of an alcoholic, being a previous smoker, and being a current smoker were associated with increased risk. Female gender, older age, and college education were associated with decreased odds of being a high-risk drinker. having major depression, being the child of an alcoholic, and being a current smoker were associated with increased odds of being a high-risk drinker. Individuals classified in the high-risk drinker class had significantly lower self-rated mental and physical health than low-risk drinkers. CONCLUSIONS: A subpopulation of older drinkers may exceed consumption guidelines without DSM-defined alcohol-related problems. However, for some older drinkers, risky alcohol use is part of a larger pattern of health risks including current smoking, major depression, and alcohol abuse/dependence history.
OBJECTIVE: We examined latent classes of alcohol use among current drinkers ages 60 and older and explored risk factors associated with class. METHOD: We used a subsample of older current drinkers (> or =60 years; n = 4,646) from the National Epidemiologic Survey on Alcohol and Related Conditions. Employing alcohol consumption and diagnostic indicators, latent class analysis was used to identify classes. We analyzed the associations between class membership and sociodemographic, psychiatric, health, and mental health variables using multinomial and linear regression. RESULTS: Latent class analysis identified three latent classes. Individuals in the low-risk drinker class (89.17%) displayed low endorsement of heavy episodic use, at-risk consumption, and alcohol abuse/dependence criteria. Individuals in the moderate-risk drinker class (9.65%) were more likely to exceed consumption guidelines, and those in the high-risk drinker class (1.17%) displayed high probabilities of both Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV), criteria and risky alcohol consumption items. Female gender, older age, and African-American race were associated with decreased risk of being a moderate-risk drinker. Being the adult child of an alcoholic, being a previous smoker, and being a current smoker were associated with increased risk. Female gender, older age, and college education were associated with decreased odds of being a high-risk drinker. having major depression, being the child of an alcoholic, and being a current smoker were associated with increased odds of being a high-risk drinker. Individuals classified in the high-risk drinker class had significantly lower self-rated mental and physical health than low-risk drinkers. CONCLUSIONS: A subpopulation of older drinkers may exceed consumption guidelines without DSM-defined alcohol-related problems. However, for some older drinkers, risky alcohol use is part of a larger pattern of health risks including current smoking, major depression, and alcohol abuse/dependence history.
Authors: Bridget F Grant; Deborah A Dawson; Frederick S Stinson; S Patricia Chou; Mary C Dufour; Roger P Pickering Journal: Drug Alcohol Depend Date: 2004-06-11 Impact factor: 4.492
Authors: John P Rice; Rosalind J Neuman; Nancy L Saccone; Jonathan Corbett; Nanette Rochberg; Victor Hesselbrock; Kathleen K Bucholz; Peter McGuffin; Theodore Reich Journal: Alcohol Clin Exp Res Date: 2003-01 Impact factor: 3.455
Authors: Karen I Fredriksen-Goldsen; Loree Cook-Daniels; Hyun-Jun Kim; Elena A Erosheva; Charles A Emlet; Charles P Hoy-Ellis; Jayn Goldsen; Anna Muraco Journal: Gerontologist Date: 2013-03-27