Understanding county-level mental health determinants to guide community prevention efforts

BACKGROUND: Mental health disparities represent a growing challenge for public health systems, making it important to understand how local environmental and socioeconomic conditions contribute to population mental health outcomes. This study examined how county-level environmental, socioeconomic, and demographic characteristics relate to mental health outcomes in the US. METHODS: Multivariable ordinary least squares regression was used with state-clustered standard errors. Two measures of mental health were analyzed: the average number of mentally unhealthy days and the percentage of adults experiencing frequent mental distress. RESULTS: Severe housing problems and insufficient sleep were consistently associated with poorer mental health, while higher food environment quality was linked to reduced frequent mental distress. Socioeconomic factors, including poverty, education, and median household income, showed clear associations. Demographic characteristics, such as higher proportions of non-Hispanic White and female residents, also corresponded to increased mental health challenges. CONCLUSIONS: These findings identify county-level conditions that may serve as targets for community-based prevention and intervention strategies, providing guidance for program administrators, planners, and policymakers seeking to reduce mental distress and improve population mental health.