Biomaterial Database

Are alcohol policies associated with alcohol consumption in low- and middle-income countries? 2014

Won Kim Cook, and Jason Bond, and Thomas K Greenfield

Alcohol Research Group, Public Health Institute, Emeryville, CA, USA.

OBJECTIVE To examine the associations between alcohol control policies in four regulatory domains with alcohol consumption in low- and middle-income countries (LAMICs), controlling for country-level living standards and drinking patterns. METHODS Cross-sectional analyses of individual-level alcohol consumption survey data and country-level alcohol policies using multi-level modeling. METHODS Data from 15 LAMICs collected in the Gender, Alcohol, and Culture: an International Study (GENACIS) data set. METHODS Individuals aged 18-65 years. METHODS Alcohol policy data compiled by the World Health Organization; individual-level current drinking status, usual quantity and frequency of drinking, binge drinking frequency and total drinking volume; gross domestic product based on purchasing power parity (GDP-PPP) per capita; detrimental drinking pattern scale; and age and gender as individual-level covariates. RESULTS Alcohol policies regulating the physical availability of alcohol, particularly those concerning business hours or involving a licensing system for off-premises alcohol retail sales, as well as minimum legal drinking age, were the most consistent predictors of alcohol consumption. Aggregate relative alcohol price levels were associated inversely with all drinking variables (P < 0.05) except drinking volume. Greater restrictions on alcohol advertising, particularly beer advertising, were associated inversely with alcohol consumption (P < 0.05). Policies that set legal blood alcohol concentration (BAC) limits for drivers and random breath testing to enforce BAC limits were not associated significantly with alcohol consumption. CONCLUSIONS Alcohol policies that regulate the physical availability of alcohol are associated with lower alcohol consumption in low- and middle-income countries.

UI	MeSH Term	Description	Entries
D008297	Male		Males
D008875	Middle Aged	An adult aged 45 - 64 years.	Middle Age
D008969	Molecular Sequence Data	Descriptions of specific amino acid, carbohydrate, or nucleotide sequences which have appeared in the published literature and/or are deposited in and maintained by databanks such as GENBANK, European Molecular Biology Laboratory (EMBL), National Biomedical Research Foundation (NBRF), or other sequence repositories.	Sequence Data, Molecular,Molecular Sequencing Data,Data, Molecular Sequence,Data, Molecular Sequencing,Sequencing Data, Molecular
D011203	Poverty	A situation in which the level of living of an individual, family, or group is below the standard of the community. It is often related to a specific income level.	Federal Poverty Level,Federal Poverty Threshold,Indigency,Low-Income Population,Absolute Poverty,Extreme Poverty,Indigents,Low Income Population,Federal Poverty Levels,Indigent,Level, Federal Poverty,Low Income Populations,Low-Income Populations,Population, Low Income,Population, Low-Income,Poverty Level, Federal,Poverty Threshold, Federal,Poverty, Absolute,Poverty, Extreme
D003430	Cross-Sectional Studies	Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time.	Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005260	Female		Females
D006291	Health Policy	Decisions, usually developed by government policymakers, for determining present and future objectives pertaining to the health care system.	Health Care Policies,Health Policies,Healthcare Policy,National Health Policy,Care Policies, Health,Health Care Policy,Health Policy, National,Healthcare Policies,National Health Policies,Policies, Health,Policies, Health Care,Policies, Healthcare,Policy, Health,Policy, Health Care,Policy, Healthcare
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293	Adolescent	A person 13 to 18 years of age.	Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D000328	Adult	A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available.	Adults