Literature DB >> 33423055

Is the US Gender Gap in Depression Changing Over Time? A Meta-Regression.

Jonathan M Platt, Lisa Bates, Justin Jager, Katie A McLaughlin, Katherine M Keyes.   

Abstract

The depression gap refers to higher rates of depression among women than men. Change in the depression gap over time might elucidate social causes of this disparity-such as unequal college attendance or employment status. We conducted a meta-regression analysis to estimate variation in the depression gap over time by age, accounting for potential sources of variation between studies. Electronic databases and bibliographies were searched for English-language studies from January 1980 through October 2019; 144 independent estimates from US-representative samples met selection criteria (n = 813,189). The depression gap was summarized as prevalence ratios among studies using diagnostic instruments and as standardized mean differences among symptom-based studies. Primary study measures were baseline study year (range, 1982-2017) and age (age groups ranging, in years, from 10-59 and 60 or older). Compared with respondents aged ≥60 years, depression prevalence was greater among respondents aged 10-19 (prevalence ratio = 1.26, 95% confidence interval: 1.02, 1.56). Over time, the depression gap did not change among adults, but it increased among adolescents (age-by-time interaction prevalence ratio = 1.05, 95% confidence interval: 1.01, 1.08). Results were similar for symptom-based studies. The present study finds no evidence of a change in the depression gender gap for US adults; however, the gap increased among adolescents. Greater attention to factors driving this widening disparity in adolescent depression is needed.
© The Author(s) 2021. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  United States; depression; depressive symptoms; gender; health disparities; time trends

Mesh:

Year:  2021        PMID: 33423055      PMCID: PMC8484777          DOI: 10.1093/aje/kwab002

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  55 in total

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Journal:  Clin Psychol Rev       Date:  2007-03-03

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Journal:  Nat Hum Behav       Date:  2019-01-14

3.  Depression as an antecedent to heart disease among women and men in the NHANES I study. National Health and Nutrition Examination Survey.

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Journal:  J Abnorm Psychol       Date:  2000-05

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Authors:  M A Young; L F Fogg; W A Scheftner; M B Keller; J A Fawcett
Journal:  J Affect Disord       Date:  1990-03       Impact factor: 4.839

6.  Investigating the link between liking versus wanting self-esteem and depression in a nationally representative sample of American adults.

Authors:  Brad J Bushman; Scott J Moeller; Sara Konrath; Jennifer Crocker
Journal:  J Pers       Date:  2012-10

7.  Are testosterone levels and depression risk linked based on partnering and parenting? Evidence from a large population-representative study of U.S. men and women.

Authors:  Lee T Gettler; Rahul C Oka
Journal:  Soc Sci Med       Date:  2016-06-25       Impact factor: 4.634

8.  Social Rhythm and Mental Health: A Cross-Cultural Comparison.

Authors:  Jürgen Margraf; Kristen Lavallee; XiaoChi Zhang; Silvia Schneider
Journal:  PLoS One       Date:  2016-03-08       Impact factor: 3.240

9.  Uncovering the hidden impacts of inequality on mental health: a global study.

Authors:  Shoukai Yu
Journal:  Transl Psychiatry       Date:  2018-05-18       Impact factor: 6.222

Review 10.  Current, future and potential use of mobile and wearable technologies and social media data in the ABCD study to increase understanding of contributors to child health.

Authors:  K S Bagot; S A Matthews; M Mason; Lindsay M Squeglia; J Fowler; K Gray; M Herting; A May; I Colrain; J Godino; S Tapert; S Brown; K Patrick
Journal:  Dev Cogn Neurosci       Date:  2018-03-28       Impact factor: 6.464

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