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Why is high-risk drinking more prevalent among men than women? evidence from South Korea
BACKGROUND: It is important to identify and quantify the factors that affect gender differences in high-risk drinking (HRD), from both an academic and a policy perspective. However, little is currently known about them. This study examines these factors and estimates the percentage contribution each...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394216/ https://www.ncbi.nlm.nih.gov/pubmed/22304965 http://dx.doi.org/10.1186/1471-2458-12-101 |
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author | Chung, Woojin Lim, Seungji Lee, Sunmi |
author_facet | Chung, Woojin Lim, Seungji Lee, Sunmi |
author_sort | Chung, Woojin |
collection | PubMed |
description | BACKGROUND: It is important to identify and quantify the factors that affect gender differences in high-risk drinking (HRD), from both an academic and a policy perspective. However, little is currently known about them. This study examines these factors and estimates the percentage contribution each makes to gender differences in HRD. METHODS: This study analyzed information on 23,587 adults obtained from the Korea National Health and Nutrition Surveys of 1998, 2001, and 2005. It found that the prevalence of HRD was about 5 times higher among men (0.37) than women (0.08). Using a decomposition approach extended from the Oaxaca-Blinder method, we decomposed the gender difference in HRD to an "overall composition effect" (contributions due to gender differences in the distribution of observed socio-economic characteristics), and an "overall HRD-tendency effect" (contributions due to gender differences in tendencies in HRD for individuals who share socio-economic characteristics). RESULTS: The HRD-tendency effect accounted for 96% of the gender difference in HRD in South Korea, whereas gender differences in observed socio-economic characteristics explained just 4% of the difference. Notably, the gender-specific HRD-tendency effect accounts for 90% of the gender difference in HRD. CONCLUSION: We came to a finding that gender-specific HRD tendency is the greatest contributor to gender differences in HRD. Therefore, to effective reduce HRD, it will be necessary to understand gender differences in socioeconomic characteristics between men and women but also take notice of such differences in sociocultural settings as they experience. And it will be also required to prepare any gender-differentiated intervention strategy for men and women. |
format | Online Article Text |
id | pubmed-3394216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33942162012-07-16 Why is high-risk drinking more prevalent among men than women? evidence from South Korea Chung, Woojin Lim, Seungji Lee, Sunmi BMC Public Health Research Article BACKGROUND: It is important to identify and quantify the factors that affect gender differences in high-risk drinking (HRD), from both an academic and a policy perspective. However, little is currently known about them. This study examines these factors and estimates the percentage contribution each makes to gender differences in HRD. METHODS: This study analyzed information on 23,587 adults obtained from the Korea National Health and Nutrition Surveys of 1998, 2001, and 2005. It found that the prevalence of HRD was about 5 times higher among men (0.37) than women (0.08). Using a decomposition approach extended from the Oaxaca-Blinder method, we decomposed the gender difference in HRD to an "overall composition effect" (contributions due to gender differences in the distribution of observed socio-economic characteristics), and an "overall HRD-tendency effect" (contributions due to gender differences in tendencies in HRD for individuals who share socio-economic characteristics). RESULTS: The HRD-tendency effect accounted for 96% of the gender difference in HRD in South Korea, whereas gender differences in observed socio-economic characteristics explained just 4% of the difference. Notably, the gender-specific HRD-tendency effect accounts for 90% of the gender difference in HRD. CONCLUSION: We came to a finding that gender-specific HRD tendency is the greatest contributor to gender differences in HRD. Therefore, to effective reduce HRD, it will be necessary to understand gender differences in socioeconomic characteristics between men and women but also take notice of such differences in sociocultural settings as they experience. And it will be also required to prepare any gender-differentiated intervention strategy for men and women. BioMed Central 2012-02-06 /pmc/articles/PMC3394216/ /pubmed/22304965 http://dx.doi.org/10.1186/1471-2458-12-101 Text en Copyright ©2012 Chung et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Chung, Woojin Lim, Seungji Lee, Sunmi Why is high-risk drinking more prevalent among men than women? evidence from South Korea |
title | Why is high-risk drinking more prevalent among men than women? evidence from South Korea |
title_full | Why is high-risk drinking more prevalent among men than women? evidence from South Korea |
title_fullStr | Why is high-risk drinking more prevalent among men than women? evidence from South Korea |
title_full_unstemmed | Why is high-risk drinking more prevalent among men than women? evidence from South Korea |
title_short | Why is high-risk drinking more prevalent among men than women? evidence from South Korea |
title_sort | why is high-risk drinking more prevalent among men than women? evidence from south korea |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394216/ https://www.ncbi.nlm.nih.gov/pubmed/22304965 http://dx.doi.org/10.1186/1471-2458-12-101 |
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