在德国代表性人口样本中制定性别评分,并将其与各种社会地位相关联
Lisa Wandschneider1, Odile Sauzet1,2, Oliver Razum1,3
1Department of Epidemiology and International Public Health, School of Public Health, Bielefeld University, Bielefeld, Germany.
Frontiers in epidemiology
|March 8, 2024
概括
这项研究开发了一种性别分数来分析健康不平等,发现社会地位影响性别实践. 这种工具可以通过在背景下理解性别来帮助解决健康差异.
科学领域:
- 流行病学 流行病学
- 社会学 社会学 社会学
- 公共卫生 公共卫生
背景情况:
- 在流行病学研究中,性别通常被忽视为一种关系概念.
- 重新思考性别概念化和操作化对于推进定量健康研究至关重要.
- 公共卫生干预措施的有效证据需要改进性别分析.
研究的目的:
- 为流行病学分析构建特定背景的性别评分.
- 评估性别评分的歧视力如何在交叉的社会地位 (性别/性别,种族,阶级,年龄,性吸引力) 中变化.
- 探索性别社会实践及其在不同社会群体中的分布.
主要方法:
- 利用来自德国社会经济小组数据的多变量后勤回归和条件概率.
- 根据男性性-女性性连续性沿着性别社会实践制定了基于性别的性别评分.
- 用密度图来比较跨社会群体性别社会实践的分布.
主要成果:
- 用13个与性别相关的变量 (n=20,767) 定义了一个性别得分.
- 家庭和家庭结构在性别分数中占有最高的权重.
- 年轻的人,没有孩子的人,不同居的人,或在同性/性别伙伴关系中的人,在女性/男性实践中表现出更大的重叠.
结论:
- 经验数据支持性别理论作为一个特定于背景的构造,在社会群体之间有不同的分布.
- 经济参与和家庭结构是男女实践异质性的关键驱动力.
- 开发的性别评分可以帮助流行病学努力减少性别不平等和相关的健康差异.
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