Differences in mental health inequalities based on university attendance: Intersectional multilevel analyses of individual heterogeneity and discriminatory accuracy.

Differences in mental health inequalities based on university attendance: Intersectional multilevel analyses of individual heterogeneity and discriminatory accuracy.
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DOI:
10.1016/j.ssmph.2022.101149
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发表时间:
2022-09
影响因子:
4.7
通讯作者:
Essau, Cecilia A.
Essau, Cecilia A.
中科院分区:
医学2区
文献类型:
--
作者:
Balloo, Kieran;Hosein, Anesa;Byrom, Nicola;Essau, Cecilia A.

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人们越来越关注不同社会背景下青年人心理健康不平等的结构性和社会决定因素。将高等教育作为一个特定的社会背景,目前尚不清楚大学出勤率是否会影响交叉社会身份和立场对年轻人心理健康结果的影响。个体异质性和判别准确性的多水平分析(MAIHDA)被用来预测青春期精神痛苦的几率,性别,社会经济地位,性别认同,种族及其交叉点,与年轻人在25岁时的心理健康结果相关,以及这是否基于大学入学率而有所不同。用MAIHDA方法分析了来自英格兰青年队列研究纵向研究的数据,结果没有显示任何倍增交叉的证据(即,严重)对年轻人心理健康的影响。然而,社会身份和地位的重要主要影响(即,添加剂模型)。研究结果表明,身为女性或被认定为性少数群体的年轻人在25岁时出现心理健康问题的几率增加,尽管自残的几率是上过大学的性少数群体的一半。黑人和亚洲人比白色人更不可能申报精神疾病。在更贫困地区长大的年轻人,没有上过大学的人更有可能遇到心理健康问题。这些研究结果意味着,对年轻人的心理健康干预措施不一定要专门为特定的交叉群体设计。此外,上大学似乎对一些年轻人产生了更好的心理健康结果,因此需要进行更多的调查,以了解大学为年轻人做了什么,以及这是否可以在更广泛的普通人群中复制。MAIHDA被用来分析25岁年轻人的心理健康结果。交叉效应进行了检查内外的大学背景。没有证据表明对年轻人的心理健康有多重影响。加法模型最适合理解心理健康不平等。干预措施最好针对广泛的社会群体成员。
There is an increasing focus on structural and social determinants of inequalities in young people's mental health across different social contexts. Taking higher education as a specific social context, it is unclear whether university attendance shapes the impact of intersectional social identities and positions on young people's mental health outcomes. Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) was used to predict the odds that mental distress during adolescence, sex, socioeconomic status, sexual identity, ethnicity, and their intersections, were associated with young people's mental health outcomes at age 25, and whether this differed based on university attendance. Data from the Longitudinal Study of Young People in England cohort study were analysed with the MAIHDA approach, and the results did not reveal any evidence of multiplicative intersectional (i.e., aggravating) effects on young people's mental health outcomes. However, important main effects of social identities and positions (i.e., an additive model) were observed. The findings suggested that being female or identifying as a sexual minority increased the odds of young people experiencing mental health problems at age 25, although the odds of self-harming were half the size for sexual minorities who had attended university. Black and Asian individuals were less likely to declare a mental illness than White individuals. Young people who grew up in a more deprived area and had not attended university were more likely to experience mental health problems. These findings imply that mental health interventions for young people do not necessarily have to be designed exclusively for specific intersectional groups. Further, university attendance appears to produce better mental health outcomes for some young people, hence more investigation is needed to understand what universities do for young people, and whether this could be replicated in the wider general population. MAIHDA was used to analyse young people's mental health outcomes at age 25. Intersectional effects were examined both in and out of the university context. There was no evidence for multiplicative effects on young people's mental health. Additive models were most suitable for understanding mental health inequalities. Interventions might be best targeted at broad social group memberships.
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