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Relevant demographic and environmental conditions need to be understood before tailoring policies to improve mental health. Using community health survey data from 25 communities in Seoul, 2013, cross-sectional associations between mental health and community level environments were assessed. Mental health outcomes (self-rated stress levels (SRS) and depressive symptoms (DS)) were analyzed. Community environmental factors included green space, green facilities, and annual PM10 level (AnnPM10); socio-demographic factors included sex, age, education, labor market participation, comorbidity, sleep hours, physical activity, smoking, and drinking. A total of 23,139 people with the following characteristics participated: men (44.2%); age groups 19-39 (36.0%), 40-59 (39.4%), 60-74 (19.2%), and 75+ (5.4%). Women had higher odds ratios (OR) for SRS OR 1.22, 95% Confidence interval (CI) 1.17-1.27 and DS OR 1.55, 95% CI 1.42-1.71. Regular physical activity predicted SRS OR 0.90, 95% CI 0.84-0.95 and DS OR 0.98, 95% CI 0.88-1.10; current smoking and drinking were adversely associated with both SRS and DS. Higher accessibility to green space (Q4) was inversely associated with DS OR 0.89, 95% CI 0.81-0.97 compared to lower accessibility (Q1). AnnPM10, annual levels for particles of aerodynamic diameter 10), among communities was associated with poorer SRS OR 1.02, 95% CI 1.00-1.04 by 10 μg/m³ increases. Therefore, both demographic and environmental factors should be considered to understand mental health conditions among the general population.
Kim et al. (Mon,) studied this question.
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