Literature DB >> 26458183

The role of sex, gender, and education on depressive symptoms among young adults in the United States.

Philip A Gibson1, Elizabeth H Baker2, Adrienne N Milner2.   

Abstract

BACKGROUND: Men are less likely to experience depression and both women and men who self-assess as high in traits associated with masculinity are less likely to experience depression. Recent theoretical developments stress that the context of gender construction varies by other aspects of social status such as education.
METHODS: Data come from the National Longitudinal Study of Adolescent Health Wave III, romantic relationship sub-sample, a nationally representative sample of middle and high school students in the U.S. in 1997. Wave III data were collected in 2001-2002 when they are ages 18-26. A subsample of individuals who were or currently are in a romantic relationship (N=4302) were administered the Bem Sex Role Inventory (BSRI).
RESULTS: We find that femininity, not masculinity, results in less depressive symptoms among women regardless of education. Femininity is associated with less depressive symptoms among college educated men, but masculinity is associated with less depressive symptoms among non-college educated men. Sex differences in the association between gender traits and depression symptoms are smaller among those who have attended college.
CONCLUSIONS: Results stress the importance of context for understanding the relationship between sex, gender, and depression. Individuals benefit more from both masculinity and femininity with increased education. Conversely, those with less education may be penalized for sex-gender incongruent traits in terms of mental health. LIMITATIONS: These analyses are cross-sectional, making causal inference impossible. This sample is limited to young adults who were or had been in a romantic relationship at the time of the survey.
Copyright © 2015. Published by Elsevier B.V.

Entities:  

Keywords:  Education; Gender; Health inequalities; Mental health; Sex

Mesh:

Year:  2015        PMID: 26458183     DOI: 10.1016/j.jad.2015.08.067

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  7 in total

1.  The Investigation of Gender Differences in Subjective Wellbeing in Children and Adolescents: The UP&DOWN Study.

Authors:  Sara Esteban-Gonzalo; Laura Esteban-Gonzalo; Verónica Cabanas-Sánchez; Marta Miret; Oscar L Veiga
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2.  The efficacy and safety of 10 mg/day vortioxetine compared to placebo for adult major depressive disorder: a meta-analysis.

Authors:  Jiahuan Zheng; Zhaoyu Wang; Enli Li
Journal:  Afr Health Sci       Date:  2019-03       Impact factor: 0.927

Review 3.  Languishing in the crossroad? A scoping review of intersectional inequalities in mental health.

Authors:  Nadja Fagrell Trygg; Per E Gustafsson; Anna Månsdotter
Journal:  Int J Equity Health       Date:  2019-07-24

4.  Gender-Based Analysis of the Association Between Mental Health, Sleep Quality, Aggression, and Physical Activity Among University Students During the COVID-19 Outbreak.

Authors:  César Rubén Vuelvas-Olmos; Dalinda Isabel Sánchez-Vidaña; Nadia Yanet Cortés-Álvarez
Journal:  Psychol Rep       Date:  2022-04-18

Review 5.  Sex and Gender Differences in Central Nervous System-Related Disorders.

Authors:  Emanuela Zagni; Lucia Simoni; Delia Colombo
Journal:  Neurosci J       Date:  2016-05-30

6.  Depression in relation to sex and gender expression among Swedish septuagenarians-Results from the H70 study.

Authors:  Therese Rydberg Sterner; Pia Gudmundsson; Hanna Falk; Nazib Seidu; Felicia Ahlner; Hanna Wetterberg; Lina Rydén; Robert Sigström; Svante Östling; Anna Zettergren; Silke Kern; Margda Waern; Ingmar Skoog
Journal:  PLoS One       Date:  2020-09-14       Impact factor: 3.240

7.  The impact of the COVID-19 epidemic on mental health of undergraduate students in New Jersey, cross-sectional study.

Authors:  Aleksandar Kecojevic; Corey H Basch; Marianne Sullivan; Nicole K Davi
Journal:  PLoS One       Date:  2020-09-30       Impact factor: 3.240

  7 in total

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