Department of Social Epidemiology, Institute of Public Health and Nursing Research, Faculty of Human and Health Sciences, University of Bremen, 28359 Bremen, Germany.
Health Sciences Bremen, University of Bremen, 28359 Bremen, Germany.
Int J Environ Res Public Health. 2023 Jan 26;20(3):2220. doi: 10.3390/ijerph20032220.
To date, PHMR has often relied on male/female stratification, but rarely considers the complex, intersecting social positions of men and women in describing the prevalence of health and disease. Stratification on an Intersectional Gender-Score (IG-Score), which is based on a variety of social covariables, would allow comparison of the prevalence of individuals who share the same complex intersectional profile (IG-Score). The cross-sectional case study was based on the German Socio-Economic Panel 2017 (n = 23,269 age 18+). After stratification, covariable-balance within the total sample and IG-Score-subgroups was assessed by standardized mean differences. Prevalence of self-rated health, mental distress, depression and hypertension was compared in men and women. In the IG-Score-subgroup with highest proportion of males and lowest probability of falling into the 'woman'-category, most individuals were in full-time employment. The IG-Score-subgroup with highest proportion of women and highest probability of falling into the 'woman'-category was characterized by part-time/occasional employment, housewife/-husband, and maternity/parental leave. Gender differences in prevalence of health indicators remained within the male-dominated IG-Score-subgroup, whereas the same prevalence of depression and self-rated health was observed for men and women constituting the female-dominated IG-Score-subgroup. These results might indicate that sex/gender differences of depression and self-rated health could be interpreted against the background of gender associated processes. In summary, the proposed procedure allows comparison of prevalence of health indicators conditional on men and women sharing the same complex intersectional profile.
迄今为止,人口健康与生殖医学(PHMR)通常依赖于男女分层,但在描述健康和疾病的普遍程度时,很少考虑男性和女性复杂的、交叉的社会地位。基于多种社会协变量的交叉性别评分(IG-Score)分层,可以比较具有相同复杂交叉特征(IG-Score)的个体的流行率。这项横断面病例研究基于德国社会经济面板 2017 年的数据(年龄在 18 岁及以上的 n = 23269 人)。在分层后,通过标准化平均差异评估总样本和 IG-Score 亚组内的协变量平衡。比较了男性和女性的自评健康、精神困扰、抑郁和高血压的流行率。在男性比例最高、落入“女性”类别概率最低的 IG-Score 亚组中,大多数人从事全职工作。女性比例最高、落入“女性”类别概率最高的 IG-Score 亚组的特征是兼职/偶尔工作、家庭主妇/丈夫、产假/陪产假。健康指标的流行率在男性主导的 IG-Score 亚组内存在性别差异,而在女性主导的 IG-Score 亚组中,男性和女性的抑郁和自评健康的流行率相同。这些结果可能表明,抑郁和自评健康的性别差异可以根据与性别相关的过程来解释。总之,所提出的程序允许在男性和女性具有相同的复杂交叉特征的条件下比较健康指标的流行率。