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.
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|Kerr, William C; Ye, Yu; Williams, Edwina et al. (2018) Lifetime Alcohol Use Patterns and Risk of Diabetes Onset in the National Alcohol Survey. Alcohol Clin Exp Res :|
|Kerr, William C; Ye, Yu; Subbaraman, Meenakshi Sabina et al. (2018) Changes in Marijuana Use Across the 2012 Washington State Recreational Legalization: Is Retrospective Assessment of Use Before Legalization More Accurate? J Stud Alcohol Drugs 79:495-502|
|Borges, Guilherme; Zemore, Sarah E; Orozco, Ricardo et al. (2018) Drug use on both sides of the US-Mexico border. Salud Publica Mex 60:451-461|
|Karriker-Jaffe, Katherine J; Greenfield, Thomas K; Mulia, Nina et al. (2018) Ten-Year Trend in Women's Reasons for Abstaining or Limiting Drinking: The 2000 and 2010 United States National Alcohol Surveys. J Womens Health (Larchmt) 27:665-675|
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|Kerr, William C; Lui, Camillia; Ye, Yu (2018) Trends and age, period and cohort effects for marijuana use prevalence in the 1984-2015 US National Alcohol Surveys. Addiction 113:473-481|
|Karriker-Jaffe, Katherine J; Li, Libo; Greenfield, Thomas K (2018) Estimating mental health impacts of alcohol's harms from other drinkers: using propensity scoring methods with national cross-sectional data from the United States. Addiction 113:1826-1839|
|Trangenstein, Pamela J; Morojele, Neo K; Lombard, Carl et al. (2018) Heavy drinking and contextual risk factors among adults in South Africa: findings from the International Alcohol Control study. Subst Abuse Treat Prev Policy 13:43|
|Klinger, Jamie L; Karriker-Jaffe, Katherine J; Witbrodt, Jane et al. (2018) Effects of Distance to Treatment on Subsequent Alcohol Consumption. Drugs (Abingdon Engl) 25:173-180|
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