인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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
Objectives: This study aimed to identify the health problems and risk behaviors that exist in Seoul counties, as well as to understand how health risk behaviors are related to quality of life. Methods: Fuzzy-set ideal type analysis was used to categorize health risk behaviors affecting the quality of life of residents from 25 districts in Seoul. Eight ideal sets were created based on the independent variables: smoking, high-risk drinking, and physical inactivity. Each variable was judged to have attributes based on the average of Seoul. Factors associated with health-related quality of life were identified by type by multiple regression analysis. Results: Those with high scores for two or more health risk behaviors accounted for a larger proportion of the population. Some districts had high scores for specific behaviors with an affiliation score (0-1) of 0.7 or higher, indicating that the health problem is more prevalent in these regions than in other areas. The EQ-5D index found that physical inactivity was the most strongly associated of the three health risk behaviors. Conclusion: Combinations of health risk behaviors have different effects on health levels in different districts, necessitating the consideration of multiple factors. Types of health risk behaviors show potential for use as a basis for selecting and identifying priority health problems for community health promotion projects.
본문·목차
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