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.
학술저널
DBpia Top 10%
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초록·키워드
This study aims to explore the key factors influencing generalized anxiety disorder (GAD) and depression in older adults using decision tree analysis, based on the 2022 1st-year National Health Statistics data from the Korea Disease Control and Prevention Agency (KDCA). To achieve this objective, the CHAID algorithm of the decision tree method was applied. The dependent variables were selected as depression and anxiety, while the independent variables included gender, elderly classification, marital status, employment status, subjective health perception, stress perception, moderate-intensity leisure activity participation, high-intensity leisure activity participation, and physical activity during mobility.
The analysis revealed that the predictive factors for generalized anxiety disorder in older adults were "stress perception" and "elderly classification". Additionally, the predictive factors for depression included "stress perception", "subjective health perception", and "elderly classification". In summary, both generalized anxiety disorder and depression were found to be significantly influenced by stress perception and elderly classification, with subjective health perception identified as an additional critical factor for depression.
The analysis revealed that the predictive factors for generalized anxiety disorder in older adults were "stress perception" and "elderly classification". Additionally, the predictive factors for depression included "stress perception", "subjective health perception", and "elderly classification". In summary, both generalized anxiety disorder and depression were found to be significantly influenced by stress perception and elderly classification, with subjective health perception identified as an additional critical factor for depression.
본문·목차
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오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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