Influencing factors of depressive symptoms among rural elderly patients with chronic diseases / 预防医学

ABSTRACT

Objective@#To investigate the influencing factors of depressive symptoms among rural elderly patients with chronic diseases in China, so as to provide insights into depression prevention and control among the rural elderly patients with chronic diseases.@*Methods@#The basic demographics, health status, and lifestyle of rural residents at ages of 65 years and older who had at least one chronic disease were retrieved from The Chinese Longitudinal Healthy Longevity Survey (CLHLS) database in 2018, and participants' depressive symptoms were assessed with The Center for Epidemiological Studies Depression-10 (CES-D-10) scale. Factors affecting the depressive symptoms were identified with a multivariable logistic regression model. @*Results@#Totally 5 146 rural elderly patients with chronic diseases were enrolled, including 2 373 men (46.11%) and 2 773 women (53.89%). The prevalence of depressive symptoms was 27.13%. Multivariable logistic regression analysis identified having two and more children (OR=0.614, 95%CI 0.387-0.975), living alone (OR=1.450, 95%CI 1.192-1.764), life satisfaction (general, OR=1.933, 95%CI 1.651-2.264; low, OR=5.366, 95%CI 3.488-8.254), self-assessed health status (general, OR=2.697, 95%CI 2.284-3.185; poor, OR=5.338, 95%CI 4.262-6.685), disability in instrumental activities of daily living (OR=1.592, 95%CI 1.328-1.908), sleep duration (normal, OR=0.502, 95%CI 0.429-0.586; too long, OR=0.494, 95%CI 0.405-0.603), exercise (OR=0.721, 95%CI 0.607-0.856), watching TV (OR=0.787, 95%CI 0.664-0.933), and gardening activities (OR=0.781, 95%CI 0.626-0.975) as factors affecting depressive symptoms among rural elderly patients with chronic diseases.@*Conclusions@#The prevalence of depressive symptoms was 27.13% among rural elderly patients with chronic diseases. Number of children, living style, life satisfaction, health status, sleep duration, exercise, watching TV, and gardening activities are associated with the development of depressive symptoms among rural elderly patients with chronic diseases.