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.
中科院分区:
文献类型:
--
作者:
Balloo, Kieran;Hosein, Anesa;Byrom, Nicola;Essau, Cecilia A.
关键词:
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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影响因子:
3.1
作者:
Bowl, Ric
通讯作者:
Bowl, Ric
影响因子:
3.3
作者:
Byrom, Nicola
通讯作者:
Byrom, Nicola
影响因子:
2.1
作者:
Frijters, Paul;Johnston, David W.;Shields, Michael A.
通讯作者:
Shields, Michael A.
DOI:
10.1016/bs.acdb.2015.12.001
发表时间:
2016-01-01
期刊:
EQUITY AND JUSTICE IN DEVELOPMENTAL SCIENCE: THEORETICAL AND METHODOLOGICAL ISSUES
影响因子:
--
作者:
Ghavami, Negin;Katsiaficas, Dalal;Rogers, Leoandra Onnie
通讯作者:
Rogers, Leoandra Onnie
DOI:
10.1016/j.ssmph.2018.03.005
发表时间:
2018-04
期刊:
SSM - population health
影响因子:
--
作者:
Axelsson Fisk S;Mulinari S;Wemrell M;Leckie G;Perez Vicente R;Merlo J
通讯作者:
Merlo J