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KMID : 0858820130300050139
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Journal of Korean Society for Health Education and Promotion
2013 Volume.30 No. 5 p.139 ~ p.151
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A Prediction Model for Depression in Patients with Parkinson’s Disease
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Bae Eun-Sook
Cheon Sang-Myung
Kim Jae-Woo
Kang Chang-Wan
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Abstract
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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(β=.20, p＜.001), quality of sleeping(β=-.40, p＜.001), ADL(β=-.20, p＜.01), and social participation(β=-.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.
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KEYWORD
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Depression, Social stigma, Quality of sleeping, ADL, Social participation
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