Influencing factors for depressive symptoms in the elderly aged 65 years and older in 8 longevity areas in China
Kang Qi, Lyu Yuebin, Wei Yuan, Shi Wanying, Duan Jun, Zhou Jinhui, Wang Jiaonan, Zhao Feng, Qu Yingli, Liu Ling, Liu Yingchun, Cao Zhaojin, Yu Qiong, Shi Xiaoming
Abstract
ObjectiveTo analyze influencing factors for depressive symptoms in the elderly aged 65 years and older in 8 longevity areas in China.
MethodsWe recruited 2 180 participants aged 65 years and older in 8 longevity areas from Healthy Aging and Biomarkers Cohort Study, a sub-cohort of the Chinese Longitudinal Healthy Longevity Survey in 2017. Multivariate logistic regression analysis was performed to evaluate the relationships of socio-demographic characteristics, behavioral lifestyle, chronic disease prevalence, functional status, family and social support with depressive symptoms in the elderly.
ResultsThe detection rate of depression symptoms was 15.0% in the elderly aged 65 years and older in 8 longevity areas of China, and the detection rate of depression symptoms was 11.5% in men and 18.5% in women. Multivariate logistic regression analysis results showed that the detection rate of depressive symptoms was lower in the elderly who had regular physical exercises (OR=0.44, 95%CI: 0.26-0.74), frequent fish intakes (OR=0.57, 95%CI: 0.39-0.83), recreational activities (OR=0.65, 95%CI: 0.44-0.96), social activities (OR=0.28, 95%CI: 0.11-0.73) and community services (OR=0.68, 95%CI: 0.50-0.93). The elderly who were lack of sleep (OR=2.04, 95%CI: 1.49-2.80), had visual impairment (OR=1.54, 95%CI: 1.08-2.18), had gastrointestinal ulcer (OR=2.97, 95%CI: 1.53-5.77), had arthritis (OR=2.63, 95%CI: 1.61-4.32), had higher family expenditure than income (OR=1.80, 95%CI: 1.17-2.78) and were in poor economic condition (OR=4.58, 95%CI: 2.48-8.47) had higher detection rate of depressive symptoms.
ConclusionThe status of doing physical exercise, fish intake in diet, social activity participation, sleep quality or vision, and the prevalence of gastrointestinal ulcers and arthritis were associated with the detection rate of depressive symptoms in the elderly.
Key words:
Depressive symptom; Elderly; Influence factor
Contributor Information
Kang Qi
National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
Lyu Yuebin
National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Wei Yuan
National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
Shi Wanying
National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Duan Jun
National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei 230032, China
Zhou Jinhui
National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Wang Jiaonan
National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Zhao Feng
National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Qu Yingli
National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Liu Ling
National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Liu Yingchun
National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Cao Zhaojin
National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
Yu Qiong
Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, China
Shi Xiaoming
National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
