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Greenfield TK, Lui CK, Cook WK, Karriker-Jaffe KJ, Li L, Wilsnack SC, Bloomfield K, Room R, Laslett AM, Bond J, Korcha R. High Intensity Drinking (HID) Assessed by Maximum Quantity Consumed Is an Important Pattern Measure Adding Predictive Value in Higher and Lower Income Societies for Modeling Alcohol-Related Problems. Int J Environ Res Public Health 2023; 20:3748. [PMID: 36834453 PMCID: PMC9958696 DOI: 10.3390/ijerph20043748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/09/2023] [Accepted: 02/13/2023] [Indexed: 05/28/2023]
Abstract
Adjusting for demographics and standard drinking measures, High Intensity Drinking (HID), indexed by the maximum quantity consumed in a single day in the past 12 months, may be valuable in predicting alcohol dependence other harms across high and low income societies. The data consisted of 17 surveys of adult (15,460 current drinkers; 71% of total surveyed) in Europe (3), the Americas (8), Africa (2), and Asia/Australia (4). Gender-disaggregated country analyses used Poison regression to investigate whether HID (8-11, 12-23, 24+ drinks) was incrementally influential, beyond log drinking volume and HED (Heavy Episodic Drinking, or 5+ days), in predicting drinking problems, adjusting for age and marital status. In adjusted models predicting AUDIT-5 for men, adding HID improved the overall model fit for 11 of 15 countries. For women, 12 of 14 countries with available data showed an improved fit with HID included. The results for the five Life-Area Harms were similar for men. Considering the results by gender, each country showing improvements in model fit by adding HID had larger values of the average difference between high intensity and usual consumption, implying variations in amounts consumed on any given day. The amount consumed/day often greatly exceeded HED levels. In many societies of varying income levels, as hypothesized, HID provided important added information on drinking patterns for predicting harms, beyond the standard volume and binging indicators.
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Affiliation(s)
- Thomas K. Greenfield
- Alcohol Research Group, Public Health Institute (PHI), 6001 Shellmound St., Suite 450, Emeryville, CA 94608, USA
| | - Camillia K. Lui
- Alcohol Research Group, Public Health Institute (PHI), 6001 Shellmound St., Suite 450, Emeryville, CA 94608, USA
| | - Won K. Cook
- Alcohol Research Group, Public Health Institute (PHI), 6001 Shellmound St., Suite 450, Emeryville, CA 94608, USA
| | - Katherine J. Karriker-Jaffe
- Community Health & Implementation Research Program, Research Triangle Institute, Berkeley Office, CA 94704, USA
| | - Libo Li
- Alcohol Research Group, Public Health Institute (PHI), 6001 Shellmound St., Suite 450, Emeryville, CA 94608, USA
| | - Sharon C. Wilsnack
- Department of Psychiatry and Behavioral Science, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 94704, USA
| | - Kim Bloomfield
- Centre for Alcohol and Drug Research, School of Business and Social Sciences, Aarhus University, 2400 Copenhagen, Denmark
| | - Robin Room
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University (Melbourne Campus), Bundoora, VIC 3086, Australia
- Centre for Social Research on Alcohol and Drugs, Department of Public Health Sciences, Stockholm University, 106 91 Stockholm, Sweden
| | - Anne-Marie Laslett
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University (Melbourne Campus), Bundoora, VIC 3086, Australia
| | - Jason Bond
- Alcohol Research Group, Public Health Institute (PHI), 6001 Shellmound St., Suite 450, Emeryville, CA 94608, USA
| | - Rachael Korcha
- Alcohol Research Group, Public Health Institute (PHI), 6001 Shellmound St., Suite 450, Emeryville, CA 94608, USA
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