Department of Health Policy and Management, Graduate School of Public Health, Yonsei University, Seoul, South Korea.
BMC Public Health. 2012 Feb 6;12:101. doi: 10.1186/1471-2458-12-101.
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.
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).
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.
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.
从学术和政策角度来看,识别和量化影响高危饮酒(HRD)中性别差异的因素非常重要。然而,目前对此知之甚少。本研究探讨了这些因素,并估计了每个因素对 HRD 中性别差异的贡献百分比。
本研究分析了 1998 年、2001 年和 2005 年韩国国家健康和营养调查中获得的 23587 名成年人的信息。结果发现,男性(0.37)的 HRD 患病率约为女性(0.08)的 5 倍。使用从 Oaxaca-Blinder 方法扩展而来的分解方法,我们将 HRD 中的性别差异分解为“总体构成效应”(由于观察到的社会经济特征分布中的性别差异而产生的贡献)和“总体 HRD 倾向效应”(由于具有社会经济特征的个体 HRD 倾向中的性别差异而产生的贡献)。
HRD 倾向效应解释了韩国 HRD 中性别差异的 96%,而观察到的社会经济特征差异仅解释了差异的 4%。值得注意的是,特定于性别的 HRD 倾向效应解释了 HRD 中性别差异的 90%。
我们的研究结果表明,特定于性别的 HRD 倾向是导致 HRD 中性别差异的最大因素。因此,为了有效减少 HRD,有必要了解男性和女性之间社会经济特征的性别差异,但也要注意他们所经历的社会文化背景中的此类差异。还需要为男性和女性制定任何有性别差异的干预策略。