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The Effects of Satisfaction in Elderly Care Facilities and Daily Stress of the Elderly on Depression and Self-esteem

요양시설 입소노인의 이용만족도와 일상생활 스트레스가 우울 및 자아존중감에 미치는 영향

  • Sa, Young-Hoa (Department of Education at Dongbang Graduate University) ;
  • Cho, Sung-Je (Department of Education at Dongbang Graduate University)
  • 사영화 (동방대학원대학교 교육학과) ;
  • 조성제 (동방대학원대학교 교육학과)
  • Received : 2013.12.06
  • Accepted : 2014.02.05
  • Published : 2014.02.28

Abstract

This research aimed to empirically investigate the effects of satisfaction in Elderly Care Facilities (ECF) and daily stresses of aged people on their depression and self-esteem. Subjects were 271 visitors to 8 ECFs located in Central Korea including Seoul. The data was collected by the survey on them, conducted from March 3 to August 25, 2013. By analyzing the data, we found that the satisfaction with service utilization in ECF can reduce depression, while the satisfaction with medical rehabilitation service may increase depression and that the satisfaction with physical environment can reduce self-esteem. Also, the results showed that the stress related to family relationship has a positive effect on depression and a negative effect on self-esteem. and that the stress concerning residential environment can decrease self-esteem. Depression and self-esteem of the elderly can be predicted by satisfaction in ECFs, but not better than by their daily stresses. Among the predictors of depression and self-esteem, in this study, stress concerning family relationship is the most significant and the strongest.

본 연구에서는 노인요양시설의 이용만족도와 일상생활 스트레스가 노인의 우울과 자아존중감에 미치는 영향을 실증적으로 알아보고자 하였다. 연구대상은 서울과 중부권 지역의 노인요양시설 8개소의 입소노인 271명이며. 2013년 3월 10일부터 8월 25일까지 설문조사를 통해 데이터를 수집하였다. 분석 결과, 노인요양시설의 서비스 이용 만족이 우울을 낮추고 의료재활서비스 만족은 우울을 증가시키는 것으로 나타났다. 그리고 시설환경에 대한 만족수준이 높을수록 자아존중감이 낮은 것으로 나타났다. 일상생활 스트레스 중 가족관계와 관련된 스트레스는 우울을 높이고 자아존 중감을 낮추며 주거환경에 관한 스트레스도 자아존중감을 감소시키는 것으로 나타났다. 노인요양시설의 이용만족도보다는 일상생활 스트레스가 노인의 우울과 자아존중감을 더 잘 설명하고 있는 것으로 나타났으며, 우울과 자아존중감의 여러 영향요인 중 본 연구에서는 가족관계와 관련된 스트레스가 가장 강력한 예측인자인 것으로 나타났다.

Keywords

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