Korean Journal of Health Education and Promotion (보건교육건강증진학회지)

Korean Society for Health Education and Promotion (한국보건교육건강증진학회)
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A Prediction Model for Depression in Patients with Parkinson's Disease

파킨슨병 환자의 우울 예측 모형

  • Bae, Eun Sook (Department of Nursing Science, Dong-Eui University) ;
  • Chun, Sang Myung (Parkinson's Center of Dong-A, Dong-A University Hospital) ;
  • Kim, Jae Woo (Parkinson's Center of Dong-A, Dong-A University Hospital) ;
  • Kang, Chang Wan (Department of Data Information Science, Dong-Eui University)
  • 배은숙 (동의대학교 간호학과) ;
  • 천상명 (동의대병원 파킨슨센터) ;
  • 김재우 (동의대병원 파킨슨센터) ;
  • 강창완 (동의대학교 데이터정보학과)
  • Received : 2013.11.08
  • Accepted : 2013.12.11
  • Published : 2013.12.31
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Abstract

Objectives: This study investigated how income, duration of illness, social stigma, quality of sleeping, ADL and social participation related to Parkinson's disease(PD) predict depression in a conceptual model based on the International Classification of Functioning(ICF) model. Methods: The sample included 206 adults with idiopathic Parkinson's disease(IPD) attending D university hospital in B Metro-politan City. A structured questionnaire was used and conducted face-to-face interviews. The collected data were analyzed for fitness, using the AMOS 18.0 program. Results: A path analysis showed that the overall model provided empirical evidence for linkages in the ICF model. Depression was manifested by significant direct effects of social stigma(${\beta}=.20$, p<.001), quality of sleeping(${\beta}=-.40$, p<.001), ADL(${\beta}=-.20$, p<.01), and social participation(${\beta}=-.12$, p<.05), indirect effects including income(p<.05), duration of illness(p<.05). These variables explained 45.9% of variance in the prediction model. Conclusions: This model may help nurses to collect and assess information to develop intervention program for depression.

Keywords

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