Predictive Factors of Resilience among Older Adults with Major Depressive Disorder During Covid-19 Pandemic
Keywords:
Resilience, Older adults with depressive disorder, COVID-19Abstract
This objective of predictive correlation research was aimed at examining predictive factors of resilience among older adults with major depressive disorder during the Coronavirus disease 2019 (COVID-19) pandemic. Samples were 137 older adults with major depressive disorder who were treated at the psychiatric outpatient clinic of the hospitals. Multi-stage random sampling technique was used. Seven instruments were used to collect data: 1) demographic questionnaire; 2) Depressive Symptom Inventory for Thai Older Persons with depressive disorders; 3) Stress Test Questionnaire; 4) Geriatric Anxiety Scale; 5) Family Support Scale; 6) COVID-19 Preventive Health Behaviors Questionnaire; and 7) Connor–Davidson Resilience Scale (Thai version). For the instruments 2-7, Cronbach’s alpha coefficient reliability was .91, .79, .87, .91, .95, .91 respectively. Data were analyzed by descriptive statistics, and multiple linear regression analysis.
Results were as the following: Anxiety had the highest statistically significant negative correlation with sample resilience (r = -.467, p < .01), followed by depressive symptoms (r = -.428, p < .01), stress (r = -.409, p < .01). COVID-19 preventive health behavior had the highest statistically significant positive correlation with resilience (r = -.399, p < .01), followed by family support (r = .340, p < .01). Two factors of depressive symptoms and COVID-19 preventive health behavior could account for predicting resilience at 47.3%
Recommendations: To promote preventive health behavior and family support; as well as to decrease depressive symptoms, stress, and anxiety would increase resilience among older adults with major depressive disorder.
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