Explaining ethnic variations in adolescent mental health: a secondary analysis of the Millennium Cohort Study.

Explaining ethnic variations in adolescent mental health: a secondary analysis of the Millennium Cohort Study.
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DOI:
10.1007/s00127-021-02167-w
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发表时间:
2022-04
影响因子:
4.4
通讯作者:
Das-Munshi J
Das-Munshi J
中科院分区:
医学2区
文献类型:
--
作者:
Ahmad G;McManus S;Bécares L;Hatch SL;Das-Munshi J

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种族和青少年心理健康之间的关系进行了调查,使用全国代表性的英国千年队列研究的横断面数据。父母优势和困难问卷报告确定了10,357名14岁的年轻人的心理健康问题(n = 2042,来自少数民族背景:混合n = 492,印度n = 275,巴基斯坦n = 496,孟加拉国n = 221,加勒比黑人n = 102,非洲黑人n = 187,其他种族n = 269)。单变量逻辑回归模型研究了每个因素和结果之间的关联;双变量模型研究了家庭收入是否解释了种族差异,多变量模型还调整了社会支持(自我评估支持,父母关系),参与(社交,有组织的活动,宗教出席)和逆境(欺凌,强迫症,物质使用)的因素。结果按性别分层,因为发现了性别/种族相互作用的证据(P = 0.0002)。与白色同龄人相比,来自非洲黑人(OR 0.15,95% CI 0.04-0.61)和印度背景(OR 0.42,95% CI 0.21-0.86)的男孩的心理健康问题的未校正几率较低。经收入调整后,非洲黑人男孩的几率较低(OR 0.10,95% CI 0.02-0.38),印度人(OR 0.40,95% CI 0.21-0.77),巴基斯坦(OR 0.49,95% CI 0.27-0.89)背景,以及孟加拉国(OR 0.18,95% CI 0.05-0.65)和巴基斯坦(OR 0.63,95% CI 0.41-0.99)背景的女孩。在进一步调整社会支持,参与和逆境因素后,只有来自非洲黑人背景的男孩有较低的心理健康问题的几率(OR 0.16,95%CI 0.03-0.71)。家庭收入混淆了一些来自巴基斯坦和孟加拉国背景的年轻人心理健康问题的患病率较低;研究结果表明,种族差异部分但不完全是由收入,社会支持,参与和逆境造成的。解决收入不平等问题和以社会为重点的干预措施可以防止心理健康问题,无论种族如何。在线版本包含补充材料,可通过10.1007/s 00127 -021-02167-w获得。
The relationship between ethnicity and adolescent mental health was investigated using cross-sectional data from the nationally representative UK Millennium Cohort Study. Parental Strengths and Difficulties Questionnaire reports identified mental health problems in 10,357 young people aged 14 (n = 2042 from ethnic minority backgrounds: Mixed n = 492, Indian n = 275, Pakistani n = 496, Bangladeshi n = 221, Black Caribbean n = 102, Black African n = 187, Other Ethnic Group n = 269). Univariable logistic regression models investigated associations between each factor and outcome; a bivariable model investigated whether household income explained differences by ethnicity, and a multivariable model additionally adjusted for factors of social support (self-assessed support, parental relationship), participation (socialising, organised activities, religious attendance), and adversity (bullying, victimisation, substance use). Results were stratified by sex as evidence of a sex/ethnicity interaction was found (P = 0.0002). There were lower unadjusted odds for mental health problems in boys from Black African (OR 0.15, 95% CI 0.04–0.61) and Indian backgrounds (OR 0.42, 95% CI 0.21–0.86) compared to White peers. After adjustment for income, odds were lower in boys from Black African (OR 0.10, 95% CI 0.02–0.38), Indian (OR 0.40, 95% CI 0.21–0.77), and Pakistani (OR 0.49, 95% CI 0.27–0.89) backgrounds, and girls from Bangladeshi (OR 0.18, 95% CI 0.05–0.65) and Pakistani (OR 0.63, 95% CI 0.41–0.99) backgrounds. After further adjustment for social support, participation, and adversity factors, only boys from a Black African background had lower odds (OR 0.16, 95% CI 0.03–0.71) of mental health problems. Household income confounded lower prevalence of mental health problems in some young people from Pakistani and Bangladeshi backgrounds; findings suggest ethnic differences are partly but not fully accounted for by income, social support, participation, and adversity. Addressing income inequalities and socially focused interventions may protect against mental health problems irrespective of ethnicity. The online version contains supplementary material available at 10.1007/s00127-021-02167-w.
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