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http://dx.doi.org/10.14367/kjhep.2013.30.5.139

A Prediction Model for Depression in Patients with Parkinson's Disease  

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)
Publication Information
Korean Journal of Health Education and Promotion / v.30, no.5, 2013 , pp. 139-151 More about this Journal
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
Depression; Social stigma; Quality of sleeping; ADL; Social participation;
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