This Methodologies for Improving Measurement of Alcohol Consumption and Problems research component continues Center research to improve precision of alcohol measurement, make innovations in research design and measures for clinical populations. To accomplish this we specify three new methodological sub-studies. Sub-Study 1 analyzes data from wireless (cell-phone) and landline telephone samples in the 2009/10 (N12) and 2014/15 (N13) National Alcohol Surveys. The wireless-only population is projected to comprise 30% of the U.S. population by 2015. Thus, reaching wireless-only households is crucial to securing nationally representative samples. Sub-Study 1 critically examines differences in alcohol-related outcomes by telephone interviewing mode and evaluates methods, such as propensity score, sample selection approaches, and weighting in landline-only samples to adjust for omission/under-representation of wireless using individuals. Results will inform the alcohol field and optimize future national surveys. Addressing NIAAA priorities of research on special populations, Sub-Study 2 focuses on analysis of biases from case-crossover studies on the relative risk of injury and alcohol and alcohol-attributable fraction in cross-national emergency room studies. It applies new and innovative methods towards AAF estimation and modifications that have not previously explored cross-nationally. Findings will improve the case-crossover design by accounting for key situational confounders of the alcohol-injury relationship. Results are also expected to have domestic and international impact on global burden of disease estimates and thereby on the worldwide public health significance of alcohol. Sub-Study 3 examines variability in item functioning of the AUDIT, a widely used alcohol use disorder screening tool, using item response theory (IRT) analyses on cross-national and NAS data. This sub-study addresses the NIAAA research priority of better understanding differential reliability and validity of AUD diagnoses among demographic, ethnic, and cultural subgroups. It will identify individual and macro-level factors, such as drinking culture and gender inequity, in item response biases for the AUDIT. Findings are expected to inform clinical and research guidelines for improved alcohol screening and measurement, tailored to specific subgroups, both cross-nationally and within the US.
This component seeks to rigorously study alcohol measurement and research design issues to improve alcohol research techniques. The impact of dual-frame sampling (landline and wireless phone), study design for assessing alcohol and injury associations in emergency room samples, and factors influencing responses to items on alcohol screeners will be critically evaluated. Findings are expected to improve alcohol assessment and research in clinical and population studies, of high importance to public health.
|Drabble, Laurie; Trocki, Karen F; Klinger, Jamie L (2016) Religiosity as a protective factor for hazardous drinking and drug use among sexual minority and heterosexual women: Findings from the National Alcohol Survey. Drug Alcohol Depend 161:127-34|
|Martin, Christopher S; Greenfield, Thomas K; Babor, Thomas F (2016) The Key Problem Is That Alcohol Research Is Underfunded Despite Large Industry Profit and Billions of Dollars in Annual Alcoholic Beverage Tax Revenues. J Stud Alcohol Drugs 77:545-7|
|Stockwell, Tim; Zhao, Jinhui; Greenfield, Thomas et al. (2016) Estimating under- and over-reporting of drinking in national surveys of alcohol consumption: identification of consistent biases across four English-speaking countries. Addiction 111:1203-13|
|Zemore, Sarah E; Mulia, Nina; Williams, Edwina et al. (2016) Job loss and alcohol dependence among Blacks and Whites in a National Longitudinal Survey. J Ethn Subst Abuse :1-14|
|Zemore, Sarah E; Ye, Yu; Mulia, Nina et al. (2016) Poor, persecuted, young, and alone: Toward explaining the elevated risk of alcohol problems among Black and Latino men who drink. Drug Alcohol Depend 163:31-9|
|Talley, Amelia E; Gilbert, Paul A; Mitchell, Jason et al. (2016) Addressing gaps on risk and resilience factors for alcohol use outcomes in sexual and gender minority populations. Drug Alcohol Rev 35:484-93|
|Gilbert, Paul A; Zemore, Sarah E (2016) Discrimination and drinking: A systematic review of the evidence. Soc Sci Med 161:178-94|
|Subbaraman, Meenakshi Sabina (2016) Substitution and Complementarity of Alcohol and Cannabis: A Review of the Literature. Subst Use Misuse 51:1399-414|
|Kerr, William C; Ye, Yu; Greenfield, Thomas K et al. (2016) Changes in heavy drinking following onset of health problems in a U.S. general population sample. Prev Med 95:47-51|
|Karriker-Jaffe, Katherine J; Liu, HuiGuo; Kaplan, Lauren M (2016) Understanding Associations Between Neighborhood Socioeconomic Status and Negative Consequences of Drinking: a Moderated Mediation Analysis. Prev Sci 17:513-24|
Showing the most recent 10 out of 188 publications