Citation

Yankey O, Amegbor PM, Lee J. Spat. Spatiotemporal Epidemiol. 2021; 38: e100438.

Copyright

(Copyright © 2021, Elsevier Publishing)

DOI

10.1016/j.sste.2021.100438

PMID

34353527

Abstract

We examined the association of sociodemographic factors on mental health risk within the city of Akron (Ohio). A Spatial Bayesian Hierarchical model was used in this study. We found that the risk of poor mental health was positively associated with the proportion of people lacking sufficient sleep (RR = 0.42, 95% CI:0.22-0.62), the percentage of people below poverty (RR = 0.12, 95% CI: 0.09, 0.16), and the percentage of married couples (RR = 0.02, 95% CI: -0.05, 0.08). On the contrary, the percentage of female population (RR = -0.06, 95% CI: -0.13, 0.01), the percentage of the black population (RR = -0.05, 95% CI: -0.08, -0.02), and the college-educated population (RR = -0.03, 95% CI: -0.09, 0.04) was negatively associated with the risk of poor mental health. We also found that the sociodemographic variables have spatially varying effects across different neighborhoods. Future studies will examine the joint spatial effect of poor mental health risk and suicide ideation in the study area.

Language: en

Keywords

Humans; Risk Factors; Female; Mental Health; Ohio; Spatial Analysis; Bayes Theorem; Sociodemographic Factors