Decomposing socioeconomic inequality in poor mental health among Iranian adult population: Results from the PERSIAN cohort study

4Citations
Citations of this article
44Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: Socioeconomic inequality in mental health in Iran is poorly understood. This study aimed to assess socioeconomic inequality in poor mental health among Iranian adults. Methods: The study used the baseline data of PERSIAN cohort study including 131,813 participants from 17 geographically distinct areas of Iran. The Erreygers Concentration index (E) was used to quantify the socioeconomic inequalities in poor mental health. Moreover, we decomposed the E to identify factors contributing to the observed socioeconomic inequality in poor mental health in Iran. Results: The estimated E for poor mental health was - 0.012 (95% CI: - 0.0144, - 0.0089), indicating slightly higher concentration of mental health problem among socioeconomically disadvantaged adults in Iran. Socioeconomic inequality in poor mental health was mainly explained by gender (19.93%) and age (12.70%). Region, SES itself, and physical activity were other important factors that contributed to the concentration of poor mental health among adults with low socioeconomic status. Conclusion: There exists nearly equitable distribution in poor mental health among Iranian adults, but with important variations by gender, SES, and geography. These results suggested that interventional programs in Iran should focus on should focus more on socioeconomically disadvantaged people as a whole, with particular attention to the needs of women and those living in more socially disadvantaged regions.

Cite

CITATION STYLE

APA

Najafi, F., Pasdar, Y., Karami Matin, B., Rezaei, S., Kazemi Karyani, A., Soltani, S., … Salimi, Y. (2020). Decomposing socioeconomic inequality in poor mental health among Iranian adult population: Results from the PERSIAN cohort study. BMC Psychiatry, 20(1). https://doi.org/10.1186/s12888-020-02596-y

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free