인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Purpose: This study aims to examine how urban physical environmental factors affect residents’ mental health, focusing on four key indicators: suicide risk, depression, anxiety disorder, and perceived stress. While previous studies often targeted a single outcome or specific region, this research adopts a multidimensional approach to identify how different environmental characteristics distinctly influence each mental health indicator. Method: Data were drawn from the 2022 Korea National Health and Nutrition Examination Survey (KNHANES), including responses from 6,265 adults nationwide. A multilevel logistic regression analysis was conducted to examine the relationship between mental health and urban environmental factors, distinguishing between personal-level (Level 1) and regional-level (Level 2) characteristics. Each mental health outcome variable was binarized and analyzed separately. Regional-level variables were categorized into three domains: (1) spatial environment (air pollution level, building density, walkability), (2) land use (land-use mix, green area ratio, residential area ratio, commercial area ratio), and (3) urban planning facility (schools, cultural facilities, sports facilities, welfare facilities, medical institutions). personal-level characteristics were included as control variables. Result: The results showed that urban physical environmental factors had differential effects on mental health indicators. Suicide risk was associated with pollution level, number of schools, and number of medical facilities. Depression was associated with building density, land-use mix, housing ratio, and commercial ratio. Anxiety disorder was not significantly associated with any environmental variables. Perceived stress was associated with walkability.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-26-02-094565030