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Perceived Interpersonal Discrimination and Older Women’s Mental Health: Accumulation Across Domains Attributions and Time

机译:人际交往能力的感知与老年妇女的心理健康:跨领域归因和时间的积累

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摘要

Experiencing discrimination is associated with poor mental health, but how cumulative experiences of perceived interpersonal discrimination across attributes, domains, and time are associated with mental disorders is still unknown. Using data from the Study of Women’s Health Across the Nation (1996–2008), we applied latent class analysis and generalized linear models to estimate the association between cumulative exposure to perceived interpersonal discrimination and older women’s mental health. We found 4 classes of perceived interpersonal discrimination, ranging from cumulative exposure to discrimination over attributes, domains, and time to none or minimal reports of discrimination. Women who experienced cumulative perceived interpersonal discrimination over time and across attributes and domains had the highest risk of depression (Center for Epidemiologic Studies Depression Scale score ≥16) compared with women in all other classes. This was true for all women regardless of race/ethnicity, although the type and severity of perceived discrimination differed across racial/ethnic groups. Cumulative exposure to perceived interpersonal discrimination across attributes, domains, and time has an incremental negative long-term association with mental health. Studies that examine exposure to perceived discrimination due to a single attribute in 1 domain or at 1 point in time underestimate the magnitude and complexity of discrimination and its association with health.
机译:遭受歧视与心理健康状况不佳相关,但是,人们仍不清楚跨属性,领域和时间的人际间感知到的人际歧视的累积经验与精神障碍的相关性。利用《全国妇女健康研究》(1996-2008年)中的数据,我们应用了潜在类别分析和广义线性模型来估计人际间感知的歧视累积暴露与老年妇女的心理健康之间的关联。我们发现了四种感知到的人际歧视,从累积暴露,对属性,领域和时间的歧视到无歧视报告或极少出现歧视报告。与所有其他类别的妇女相比,随着时间推移以及跨属性和领域经历累积的感知人际歧视的妇女患抑郁症的风险最高(流行病学研究中心抑郁量表得分≥16)。尽管种族/族裔之间感觉到的歧视的类型和严重程度各不相同,但所有妇女的种族/族裔均是如此。跨属性,域和时间的人际歧视的累积暴露与心理健康的长期负相关性增加。研究检查了在1个域或某个时间点由于单一属性而遭受的感知歧视的风险,这些研究低估了歧视的严重程度和复杂性及其与健康的关联。

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