关键词: Gender History of migration Income Intersectionality SOMA.SOC Social inequalities in health Somatic symptom severity Somatic symptoms

Mesh : Adult Male Female Humans Medically Unexplained Symptoms Cross-Sectional Studies Socioeconomic Factors Gender Identity Income

来  源:   DOI:10.1038/s41598-024-54042-8   PDF(Pubmed)

Abstract:
Somatic symptoms are common in a wide range of medical conditions. In severe cases, they are associated with high individual and economic burden. To explore social inequalities in somatic symptom severity (SSS) and to identify social groups with highest SSS, we applied an intersectional research approach. Analyses are based on cross-sectional data of the adult population living in Germany (N = 2413). SSS was assessed with the Somatic Symptom Scale-8. A multiple linear regression model with three-way interaction of gender, income and history of migration and post-hoc pairwise comparison of estimated marginal means was conducted. Analyses revealed intersectional inequalities in SSS along the axis of gender, income, and history of migration. Highest SSS was found in males with low income whose parent(s) immigrated, females with low income who immigrated themselves, and females with low income and no history of migration. Intersectional approaches contribute to a more comprehensive understanding of health disparities. To reduce disparities in SSS, proportionate universal interventions combining universal screening and targeted treatment seem promising.
摘要:
躯体症状在广泛的医疗条件中是常见的。在严重的情况下,他们伴随着沉重的个人和经济负担。探讨躯体症状严重程度(SSS)的社会不平等,并确定SSS最高的社会群体,我们采用了交叉研究方法。分析基于居住在德国的成年人口的横截面数据(N=2413)。SSS采用躯体症状量表-8进行评估。具有性别三因素交互作用的多元线性回归模型,进行了收入和移民历史以及估计边际均值的事后成对比较。分析揭示了SSS沿性别轴的交叉不平等,收入,移民的历史。最高的SSS在父母移民的低收入男性中发现,低收入女性移民自己,和低收入和没有移民史的女性。交叉方法有助于更全面地了解健康差异。为了减少SSS的差异,将普遍筛查和靶向治疗结合起来的相称的普遍干预措施似乎很有希望.
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