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Screening and brief intervention for alcohol use disorder risk in three middle-income countries
BACKGROUND: This study examined the prevalence of screening and brief intervention (SBI) for alcohol use disorder (AUD) risk in samples of adult drinkers in three middle-income countries (Brazil, China, South Africa), and the extent to which meeting criteria for AUD risk was associated with SBI. MET...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609268/ https://www.ncbi.nlm.nih.gov/pubmed/36289538 http://dx.doi.org/10.1186/s12889-022-14358-4 |
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author | Paschall, Mallie J. Ringwalt, Christopher L. Fisher, Deborah A. Grube, Joel W. Achoki, Tom Miller, Ted R. |
author_facet | Paschall, Mallie J. Ringwalt, Christopher L. Fisher, Deborah A. Grube, Joel W. Achoki, Tom Miller, Ted R. |
author_sort | Paschall, Mallie J. |
collection | PubMed |
description | BACKGROUND: This study examined the prevalence of screening and brief intervention (SBI) for alcohol use disorder (AUD) risk in samples of adult drinkers in three middle-income countries (Brazil, China, South Africa), and the extent to which meeting criteria for AUD risk was associated with SBI. METHODS: Cross-sectional survey data were collected from adult samples in two cities in each country in 2018. Survey measures included past-year alcohol use, the CAGE assessment for AUD risk, talking to a health care professional in the past year, alcohol use screening by a health care professional, receiving advice about drinking from a health care professional, and sociodemographic characteristics. The prevalence of SBI was determined for past-year drinkers in each country and for drinkers who had talked to a health care professional. Logistic regression analyses were conducted to examine whether meeting criteria for AUD risk was associated with SBI when adjusting for sociodemographic characteristics. RESULTS: Among drinkers at risk for AUD, alcohol use screening rates ranged from 6.7% in South Africa to 14.3% in Brazil, and brief intervention rates ranged from 4.6% in South Africa to 8.2% in China. SBI rates were higher among drinkers who talked to a health care professional in the past year. In regression analyses, AUD risk was positively associated with SBI in China and South Africa, and with brief intervention in Brazil. CONCLUSION: Although the prevalence of SBI among drinkers at risk for AUD in Brazil, China, and South Africa appears to be low, it is encouraging that these drinkers were more likely to receive SBI. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14358-4. |
format | Online Article Text |
id | pubmed-9609268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96092682022-10-28 Screening and brief intervention for alcohol use disorder risk in three middle-income countries Paschall, Mallie J. Ringwalt, Christopher L. Fisher, Deborah A. Grube, Joel W. Achoki, Tom Miller, Ted R. BMC Public Health Research BACKGROUND: This study examined the prevalence of screening and brief intervention (SBI) for alcohol use disorder (AUD) risk in samples of adult drinkers in three middle-income countries (Brazil, China, South Africa), and the extent to which meeting criteria for AUD risk was associated with SBI. METHODS: Cross-sectional survey data were collected from adult samples in two cities in each country in 2018. Survey measures included past-year alcohol use, the CAGE assessment for AUD risk, talking to a health care professional in the past year, alcohol use screening by a health care professional, receiving advice about drinking from a health care professional, and sociodemographic characteristics. The prevalence of SBI was determined for past-year drinkers in each country and for drinkers who had talked to a health care professional. Logistic regression analyses were conducted to examine whether meeting criteria for AUD risk was associated with SBI when adjusting for sociodemographic characteristics. RESULTS: Among drinkers at risk for AUD, alcohol use screening rates ranged from 6.7% in South Africa to 14.3% in Brazil, and brief intervention rates ranged from 4.6% in South Africa to 8.2% in China. SBI rates were higher among drinkers who talked to a health care professional in the past year. In regression analyses, AUD risk was positively associated with SBI in China and South Africa, and with brief intervention in Brazil. CONCLUSION: Although the prevalence of SBI among drinkers at risk for AUD in Brazil, China, and South Africa appears to be low, it is encouraging that these drinkers were more likely to receive SBI. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14358-4. BioMed Central 2022-10-26 /pmc/articles/PMC9609268/ /pubmed/36289538 http://dx.doi.org/10.1186/s12889-022-14358-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Paschall, Mallie J. Ringwalt, Christopher L. Fisher, Deborah A. Grube, Joel W. Achoki, Tom Miller, Ted R. Screening and brief intervention for alcohol use disorder risk in three middle-income countries |
title | Screening and brief intervention for alcohol use disorder risk in three middle-income countries |
title_full | Screening and brief intervention for alcohol use disorder risk in three middle-income countries |
title_fullStr | Screening and brief intervention for alcohol use disorder risk in three middle-income countries |
title_full_unstemmed | Screening and brief intervention for alcohol use disorder risk in three middle-income countries |
title_short | Screening and brief intervention for alcohol use disorder risk in three middle-income countries |
title_sort | screening and brief intervention for alcohol use disorder risk in three middle-income countries |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609268/ https://www.ncbi.nlm.nih.gov/pubmed/36289538 http://dx.doi.org/10.1186/s12889-022-14358-4 |
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