Buckley, C. orcid.org/0000-0002-8430-0347, Brennan, A. orcid.org/0000-0002-1025-312X, Kerr, W. et al. (4 more authors) (2022) Improved estimates for individual and population-level alcohol use in the United States, 1984-2020. International Journal of Alcohol and Drug Research, 10 (1). pp. 24-33. ISSN 1925-7066
Abstract
Aims:
While nationally representative alcohol surveys are a mainstay of public health monitoring, they underestimate consumption at the population level. This paper demonstrates how to adjust individual-level survey data using aggregated alcohol per capita (APC) data for improved individual- and population-level consumption estimates.
Design and methods:
For the period 1984-2020 data on self-reported alcohol consumption in the past 30 days were taken from the Behavioral Risk Factor Surveillance System (BRFSS) involving participants (18+ years) in the US. Monthly abstainers were re-allocated into lifetime abstainers, former drinkers and 12-month drinkers using the 2005 National Alcohol Survey data. To correct for under-coverage of alcohol use, we triangulated APC and survey data by upshifting quantity (average grams/ day) and frequency (drinking days/week) of alcohol use based on national and state-level alcohol per capita data.
Findings The corrections described above resulted in better correspondence between survey and APC data. Following our procedure, national estimates of alcohol quantity increased from 45% to 77% of APC estimates. Both quantity and frequency of alcohol use were upshifted; by upshifting to 90% of APC, we were able to fit trends and distributions in APC patterns for individual states and the US.
Conclusions: An individual-level dataset which more accurately reflects the alcohol use of US citizens was achieved. This dataset will be invaluable as a research tool and for the planning and evaluation of alcohol control policies for the US. The methodology described can also be used to adjust individual-level alcohol survey data in other geographical settings.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 International Journal of Alcohol and Drug Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | Alcohol drinking; Epidemiology; Population health; Survey data; Synthetic populations |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 26 Apr 2023 15:51 |
Last Modified: | 26 Apr 2023 15:51 |
Status: | Published |
Publisher: | International Journal of Alcohol and Drug Research |
Refereed: | Yes |
Identification Number: | 10.7895/ijadr.383 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:198477 |
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