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Do ethnic inequalities in multimorbidity reflect ethnic differences in socioeconomic status? The HELIUS study

机译:多元化的种族不平等反映了社会经济地位的族裔差异吗? Helius学习

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Background: The burden of multimorbidity is likely higher in ethnic minority populations, as most individual diseases are more prevalent in minority groups. However, information is scarce. We examined ethnic inequalities in multimorbidity, and investigated to what extent they reflect differences in socioeconomic status (SES). Methods: We included Healthy Life in an Urban Setting study participants of Dutch (N=4582), South-Asian Surinamese (N=3258), African Surinamese (N=4267), Ghanaian (N=2282), Turkish (N=3879) and Moroccan (N=4094) origin (aged 18-70 years). Educational level, employment status, income situation and multimorbidity were defined based on questionnaires. We described the prevalence and examined age-adjusted ethnic inequalities in multimorbidity with logistic regression analyses. To assess the contribution of SES, we added SES indicators to the age-adjusted model. Results: The prevalence of multimorbidity ranged from 27.1 to 53.4% in men and from 38.5 to 69.6% in women. The prevalence of multimorbidity in most ethnic minority groups was comparable to the prevalence among Dutch participants who were 1-3 decades older. After adjustment for SES, the odds of multimorbidity remained significantly higher in ethnic minority groups. For instance, age-adjusted OR for multimorbidity for the Turkish compared to the Dutch changed from 4.43 (3.84-5.13) to 2.34 (1.99-2.75) in men and from 5.35 (4.69-6.10) to 2.94 (2.54-3.41) in women after simultaneous adjustment for all SES indicators. Conclusions: We found a significantly higher prevalence of multimorbidity in ethnic minority men and women compared to Dutch, and results pointed to an earlier onset of multimorbidity in ethnic minority groups. These inequalities in multimorbidity were not fully accounted for by differences in SES.
机译:背景:少数民族群体中多药物的负担可能更高,因为大多数个体疾病在少数群体中更为普遍。但是,信息很少。我们检查了多重无水性的族裔不平等,并调查了他们在多大程度上反映了社会经济地位的差异(SES)。方法:我们在城市设定学习参与者的健康生活中包括荷兰(N = 4582),南亚苏里南(N = 3258),非洲苏里南人(n = 4267),加纳(n = 2282),土耳其语(n = 3879 )摩洛哥(n = 4094)起源(18-70岁)。教育水平,就业状况,收入情况和多重资料是根据问卷定义的。我们描述了具有逻辑回归分析的多重无水量的患病率和审查的年龄调整的族裔不平等。为了评估SES的贡献,我们将SES指标添加到年龄调整后的模型。结果:多药物的患病率从男性的27.1%到53.4%,女性患者的38.5%至69.6%。大多数少数民族群体中多重群体的患病率与荷兰参与者之间的患病率相当,年龄较大的荷兰参与者。在调整SES后,少数民族群体的多重多态差异仍然显着提高。例如,与荷兰人相比,与荷兰人相比的年龄调整或用于土耳其多元的多元,从4.43(3.84-5.13)变为2.34(1.99-2.75),女性中的5.35(4.69-6.10)到2.94(2.54-3.41)同时调整所有SES指标。结论:与荷兰人相比,我们发现少数民族男女多层群体的多重多用途患病率显着更高,结果指出了少数民族群体中较早发病的结果。多重无水性的这些不等式没有通过SES的差异完全占据。

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  • 来源
    《European journal of public health》 |2019年第4期|共7页
  • 作者单位

    Univ Amsterdam Amsterdam Publ Hlth APH Res Inst Amsterdam UMC Dept Publ Hlth Amsterdam;

    Univ Amsterdam Amsterdam Publ Hlth APH Res Inst Amsterdam UMC Dept Publ Hlth Amsterdam;

    Univ Amsterdam Amsterdam UMC Dept Clin Epidemiol Biostat &

    Bioinformat Amsterdam Netherlands;

    Univ Amsterdam Amsterdam Publ Hlth APH Res Inst Amsterdam UMC Dept Publ Hlth Amsterdam;

    Univ Amsterdam Amsterdam Publ Hlth APH Res Inst Amsterdam UMC Dept Publ Hlth Amsterdam;

    Univ Amsterdam Amsterdam Publ Hlth APH Res Inst Amsterdam UMC Dept Publ Hlth Amsterdam;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 流行病学与防疫;
  • 关键词

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