Alcohol Use Frequencies and Associated Problems Across Drinking Contexts
Autor: | Natalie Sumetsky, Paul J. Gruenewald, Sharon Lipperman-Kreda, Juliet P. Lee, Christina Mair |
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Rok vydání: | 2022 |
Předmět: | |
Zdroj: | J Stud Alcohol Drugs |
ISSN: | 1938-4114 1937-1888 |
DOI: | 10.15288/jsad.2022.83.91 |
Popis: | OBJECTIVE: To better quantify the impact of specific on- and off-premise drinking contexts on population-level alcohol-related problems, we evaluated context-specific risks relative to frequency of use of each context. METHOD: We surveyed 860 adult (21–100 years) past-year drinkers in the California East Bay, sampled in areas of high versus low median household income and off-premise alcohol outlet densities. We examined associations of context-specific drinking frequencies in seven on- and off-premise drinking locations with individual and area characteristics using negative binomial regression. Next, we used heteroscedastic ordered logistic regression to relate context-specific drinking frequencies and continued volumes to five drinking-related problems (Alcohol Use Disorders Identification Test scores, physiological problems, risky sex, social problems, and driving after drinking too much). To estimate population-level effects, we assessed drinking frequencies relative to mean past-year use of each drinking context. RESULTS: Higher individual annual income (>$60,000) was associated with more frequent drinking in all on-premise drinking contexts (bars/clubs, restaurants, and stadiums). Heavier overall drinking was associated with drinking more frequently at bars. Drinking more frequently in respondents’ own homes and heavier drinking at friends’/relatives’ homes were associated with most drinking-related problems. The population-level effects of physiological problems and driving after drinking too much were highest for parties and friends’/relatives’ homes, whereas that of risky sex outcomes was highest for bars. CONCLUSIONS: Assessing context-specific risks related to heavy and/or frequent drinking, in combination with scaling these risks to determine population-level impacts, can help tailor interventions to reduce alcohol-related problems across different on- and off-premise contexts. |
Databáze: | OpenAIRE |
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