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This predictive study aimed to determine the factors associated with depression including age, gender, income, duration of illness, number of medical illness, physical activity, and social support among persons with chronic medical illness in Bhutan. A simple random sampling technique was conducted to recruit 120 adults diagnosed with chronic medical illness in a hospital, Bhutan. Data were carried out from March to April 2018. Research instruments were self-report questionnaires, including a demographic, the patient health, the global physical activity, and the medical outcomes study social support survey. Their reliability were range from .88-.93. Descriptive statistics and Stepwise multiple regression analysis were used to analyze the data.
Prediction analysis revealed 35.3% variance in the prediction of depression from five significant predictors. The best predictor was gender (male) (β = -.242), followed by age (β = -.218), physical activity (β = -.229), social support (β = -.202), and duration of chronic medical illness (β = -.168). These findings suggest that nurses and related health care providers could utilize to plan and develop an activity or intervention to lessen depression in persons with medical chronic illness by promoting social support and physical activity focusing on female, young and newly diagnosed patients.
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