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: As life expectancy increases, the number of the oldest-old is rapidly increasing. Due to the lack of empirical research on the oldest-old, however, the factors leading to depression among the oldest-old is still unknown. In order to address the limitation, this study aims to achieve two goals: (1) to examine biopsychosocial factors associated with depression among the oldest-old and (2) to examine whether the predictors of depression differ by age groups (85-89 group vs 90 and over group). Methods: Sample consists of 362 oldest-old aged 85 and older who participated in the 11<SUP>th</SUP> Korean Welfare Panel Study. Data were analyzed through the Structural Equational Modeling and multi-group SEM. Results: (1) Self-rated health, self-esteem, social relationship satisfaction were associated with depression. (2) The predictors of depression varied by age groups in terms of family relationship satisfaction, gender, and income. Conclusions: Given the various factors associated with depression among the oldest-old and the age differences identified by this study, practical implications can be drawn as follow. Approaches to depression for the oldest-old should consider age-specific strategies that differ from other age group. The oldest-old are not always homogeneous groups, interventions should be tailored by age groups even within the oldest-old populations.
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.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2018-517-003585585
