Which are the intermediate determinants of gender inequalities in mental health?: A scoping review

• Published in: International Journal of Social Psychiatry 2021-12, Vol.67 (8), p.1005-1025
• Main Authors: Cabezas-Rodríguez, Andrea, Utzet, Mireia, Bacigalupe, Amaia
• Format: Article
• Language: English
• Subjects: Adult; Aged; Caregiving; Employment; European Economic Area; Family Characteristics; Female; Gender; Gender differences; Gender inequality; Health disparities; Health problems; Health services; Health status; Housework; Humans; Intersectionality; Labor market; Male; Medicalization; Medicine; Mens health; Mental disorders; Mental Health; Mental health services; Middle Aged; Segmentation; Sexuality; Social Class; Social classes; Social groups; Social inequality; Social support; Socioeconomic Factors; Suicide; Systematic review; Unemployment; Women; Working conditions; Working women
• ISSN: 0020-7640; 1741-2854
• DOI: 10.1177/00207640211015708

Background: Gender segmentation in the labour market and women’s greater burden of domestic work and caregiving increase their risk of developing mental health problems, especially in vulnerable social groups. Aims: The objectives of this study were to identify and describe the role of working and labour conditions, domestic work and caregiving and social support in gender inequalities in mental health, as well as to assess whether studies have taken an intersectional approach, describing its role in gender inequalities in mental health. Methods: We carried out a systematic review of scientific articles published between 2010 and 2019 in PubMed, Scopus, WoS and PsycInfo, in Spanish and English, conducted in the European Economic Area in populations aged between 25 and 65 years. Studies were excluded if they were qualitative, focused on sexual identity or factors based on biological differences, or considered use of medical services, medicalisation or suicide as the outcome variable. Results: A total of 30 articles were included, of which only four concerned studies in which intersectional analysis had been performed. The mental health of men was seen to be more influenced by employment conditions and that of women by working conditions, the double presence and civil status. Further, depending on the size of the household (women) and unemployment (men), people in lower social classes had poorer mental health outcomes. Conclusions: The results may be useful for designing policies focused on reducing gender inequalities in mental health. Additionally, they show the need for taking an intersectional perspective.