Abstract

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 µm (PM10), 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.

Highlights

  • annual PM10 level (AnnPM10), annual levels for particles of aerodynamic diameter

  • We considered comorbidities including hypertension, diabetes, dyslipidemia, stroke, and arthritis; if participants were diagnosed by a doctor and currently under treatment for at least one disease, they were grouped into any comorbidity and others were grouped into non-comorbidity

  • The majority of participants did not engage in physical activity [16,617 (71.8%)] but more than half of the study sample were active in the labor market: total 61.2% (14,168), men 75.0% (7669), and women 50.3% (6499)

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Summary

Introduction

Concerns about mental health have been growing worldwide and mental health conditions are reported to depend on many factors, including demographic factors [1,2,3] such as socio-economic factors [4,5] and health behaviors, and ecological environmental factors [6,7,8,9].previous studies on the relationships between mental health and associated factors have usually focused on either objective demographic factors including socio-economic conditions, environmental factors, subgroup populations among inpatients, or on specific age groups such as younger generations [8] or the elderly [2,6,10].Already, some studies have reported that perceptions of low social status in adults may be involved in the pathogenesis of depression [4] and an index of socio-economic status seems to predict depression symptomatology across European countries [5]. Concerns about mental health have been growing worldwide and mental health conditions are reported to depend on many factors, including demographic factors [1,2,3] such as socio-economic factors [4,5] and health behaviors, and ecological environmental factors [6,7,8,9]. Previous studies on the relationships between mental health and associated factors have usually focused on either objective demographic factors including socio-economic conditions, environmental factors, subgroup populations among inpatients, or on specific age groups such as younger generations [8] or the elderly [2,6,10]. The health behavior factors may be associated with mental health. Public Health 2017, 14, 431; doi:10.3390/ijerph14040431 www.mdpi.com/journal/ijerph

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