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比较与歧视和精神卫生服务使用相关的单一和交叉社会身份:来自 2014 年英格兰成人精神疾病发病率调查的数据。

A comparison of single and intersectional social identities associated with discrimination and mental health service use: data from the 2014 Adult Psychiatric Morbidity Survey in England.

机构信息

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 3rdfloor E3.14, London, SE5 8AB, UK.

ESRC Centre for Society and Mental Health, King's College London, London, UK.

出版信息

Soc Psychiatry Psychiatr Epidemiol. 2022 Oct;57(10):2049-2063. doi: 10.1007/s00127-022-02259-1. Epub 2022 Mar 7.

DOI:10.1007/s00127-022-02259-1
PMID:35254450
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9477952/
Abstract

Inequities in mental health service use (MHSU) and treatment are influenced by social stratification processes linked to socially contextualised interactions between individuals, organisations and institutions. These complex relations underpin observed inequities and their experience by people at the intersections of social statuses. Discrimination is one important mechanism influencing such differences. We compared inequities in MHSU/treatment through single and intersectional status analyses, accounting for need. We assessed whether past-year discrimination differentially influences MHSU/treatment across single and intersecting statuses. Data came from a population survey (collected 2014-2015) nationally representative of English households (N = 7546). We used a theory and datadriven approach (latent class analysis) which identified five intersectional groups in the population comprising common combinations of social statuses. Single status analyses identified characteristics associated with MHSU/treatment (being a sexual minority (adjusted odds ratio (AOR) 1.65 95% CI:1.09-2.50), female (AOR 1.71, 95% CI:1.45-2.02), economically inactive (AOR 2.02, 95% CI:1.05-3.90), in the most deprived quintile (AOR 1.33, 95% CI:1.02-1.74), and Black (AOR 0.36 95% CI:0.20-0.66)). Intersectional analyses detected patterns not apparent from single status analyses. Compared to the most privileged group ("White British, highly educated, employed, high social class"), "Retired White British" had greater odds of MHSU/treatment (AOR 1.88, 95% CI:1.53-2.32) while "Employed migrants" had lower odds (AOR 0.39, 95% CI:0.27-0.55). Past-year discrimination was associated with certain disadvantaged social statuses and greater MHSU/treatment but-except for sexual minorities-adjusting for discrimination had little influence using either analytic approach. Observing patterns only by single social statuses masks potentially unanticipated and contextually varying inequities. The latent class approach offers policy-relevant insights into patterns and mechanisms of inequity but may mask other key intersectional patterns by statuses less common or under represented in surveys (e.g. UK-born ethnic minority groups). We propose multiple, context-relevant, theory-driven approaches to intersectional understanding of mental health inequalities.

摘要

心理健康服务使用(MHSU)和治疗方面的不平等受到与个体、组织和机构之间社会背景相互作用有关的社会分层过程的影响。这些复杂的关系构成了观察到的不平等现象及其在处于社会地位交叉点的人群中的体验。歧视是影响这种差异的一个重要机制。我们通过单一和交叉地位分析比较了 MHSU/治疗方面的不平等现象,同时考虑了需求因素。我们评估了过去一年的歧视是否会对单一和交叉地位的 MHSU/治疗产生不同的影响。数据来自于一项全国代表性的英国家庭(N=7546)人口调查(2014-2015 年收集)。我们使用了一种理论和数据驱动的方法(潜在类别分析),该方法在人群中确定了五个交叉地位群体,包括社会地位的常见组合。单一地位分析确定了与 MHSU/治疗相关的特征(性少数群体(调整后的优势比(AOR)1.65 95%置信区间:1.09-2.50)、女性(AOR 1.71,95%置信区间:1.45-2.02)、非经济活动者(AOR 2.02,95%置信区间:1.05-3.90)、最贫困五分位数(AOR 1.33,95%置信区间:1.02-1.74)和黑人(AOR 0.36,95%置信区间:0.20-0.66))。交叉地位分析检测到了单一地位分析中未显现的模式。与最特权群体(“英国白人,受过高等教育,有工作,社会地位高”)相比,“退休的英国白人”更有可能接受 MHSU/治疗(AOR 1.88,95%置信区间:1.53-2.32),而“移民就业者”的可能性较低(AOR 0.39,95%置信区间:0.27-0.55)。过去一年的歧视与某些不利的社会地位和更大的 MHSU/治疗相关,但-除了性少数群体-使用这两种分析方法,调整歧视对结果的影响很小。仅通过单一社会地位观察模式掩盖了潜在的意外和情境变化的不平等。潜在类别方法提供了与政策相关的对心理健康不平等模式和机制的洞察,但可能会掩盖调查中不太常见或代表性不足的其他关键交叉地位模式(例如,英国出生的少数族裔群体)。我们提出了多种、与情境相关的、基于理论的交叉理解心理健康不平等的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ae/9477952/4770b0d061eb/127_2022_2259_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ae/9477952/4770b0d061eb/127_2022_2259_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ae/9477952/4770b0d061eb/127_2022_2259_Fig1_HTML.jpg

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