Suppr超能文献

低社会地位标志:它们能预测青少年的抑郁症状吗?

Low Social Status Markers: Do They Predict Depressive Symptoms in Adolescence?

作者信息

Jackson Benita, Goodman Elizabeth

机构信息

Benita Jackson, Department of Psychology, Smith College.

出版信息

Race Soc Probl. 2011 Jul;3(2):119-128. doi: 10.1007/s12552-011-9047-1.

Abstract

Some markers of social disadvantage are associated robustly with depressive symptoms among adolescents: female gender and lower socioeconomic status (SES), respectively. Others are associated equivocally, notably Black v. White race/ethnicity. Few studies examine whether markers of social disadvantage by gender, SES, and race/ethnicity jointly predict self-reported depressive symptoms during adolescence; this was our goal. Secondary analyses were conducted on data from a socioeconomically diverse community-based cohort study of non-Hispanic Black and White adolescents (N = 1,263, 50.4% female). Multivariable general linear models tested if female gender, Black race/ethnicity, and lower SES (assessed by parent education and household income), and their interactions predicted greater depressive symptoms reported on the Center for Epidemiological Studies-Depression scale. Models adjusted for age and pubertal status. Univariate analyses revealed more depressive symptoms in females, Blacks, and participants with lower SES. Multivariable models showed females across both racial/ethnic groups reported greater depressive symptoms; Blacks demonstrated more depressive symptoms than did Whites but when SES was included this association disappeared. Exploratory analyses suggested Blacks gained less mental health benefit from increased SES. However there were no statistically significant interactions among gender, race/ethnicity, or SES. Taken together, we conclude that complex patterning among low social status domains within gender, race/ethnicity, and SES predicts depressive symptoms among adolescents.

摘要

社会劣势的一些指标与青少年的抑郁症状密切相关

分别为女性性别和较低的社会经济地位(SES)。其他指标的关联则不明确,尤其是黑人与白人的种族/族裔差异。很少有研究探讨性别、SES和种族/族裔方面的社会劣势指标是否共同预测青少年时期自我报告的抑郁症状;这就是我们的目标。我们对一项基于社区的队列研究数据进行了二次分析,该研究涵盖了社会经济背景多样的非西班牙裔黑人和白人青少年(N = 1263,50.4%为女性)。多变量一般线性模型检验了女性性别、黑人种族/族裔、较低的SES(通过父母教育程度和家庭收入评估)及其相互作用是否能预测在流行病学研究中心抑郁量表上报告的更严重的抑郁症状。模型对年龄和青春期状态进行了调整。单变量分析显示女性、黑人以及SES较低的参与者有更多的抑郁症状。多变量模型显示,两个种族/族裔群体中的女性都报告有更严重的抑郁症状;黑人比白人表现出更多的抑郁症状,但纳入SES后这种关联消失了。探索性分析表明,黑人从SES提高中获得的心理健康益处较少。然而,性别、种族/族裔或SES之间没有统计学上的显著相互作用。综上所述,我们得出结论,性别、种族/族裔和SES中低社会地位领域之间的复杂模式可预测青少年的抑郁症状。

相似文献

4
8
Social disadvantage and adolescent stress.社会劣势与青少年压力。
J Adolesc Health. 2005 Dec;37(6):484-92. doi: 10.1016/j.jadohealth.2004.11.126.

引用本文的文献

10
Predictors of Non-Attendance to the Postpartum Follow-up Visit.产后随访缺席的预测因素。
Matern Child Health J. 2016 Nov;20(Suppl 1):22-27. doi: 10.1007/s10995-016-2184-9.

本文引用的文献

2
Money, schooling, and health: Mechanisms and causal evidence.金钱、教育和健康:机制与因果证据。
Ann N Y Acad Sci. 2010 Feb;1186:56-68. doi: 10.1111/j.1749-6632.2009.05340.x.
6
Intersectionality and research in psychology.交叉性与心理学研究。
Am Psychol. 2009 Apr;64(3):170-80. doi: 10.1037/a0014564.
9

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验