Depression status of elderly patients with metabolic syndrome in three provinces of China.
10.3760/cma.j.cn112338-20220926-00809
- VernacularTitle:中国三省老年代谢综合征患者抑郁状况分析
- Author:
Dan WANG
1
;
Xue Fei FENG
2
;
Shi Ge QI
3
;
Qiu Tong WANG
2
;
Ya Nan HU
4
;
Zhi Hui WANG
3
;
Bao Hua WANG
2
Author Information
1. Cancer and Key Chronic Disease Control and Prevention Laboratory, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China School of Public Health, China Medical University, Shenyang 110122, China.
2. Cancer and Key Chronic Disease Control and Prevention Laboratory, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
3. Division of Elderly Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
4. School of Public Health, China Medical University, Shenyang 110122, China.
- Publication Type:Journal Article
- MeSH:
Aged;
Humans;
Metabolic Syndrome/epidemiology*;
Activities of Daily Living/psychology*;
Depression/epidemiology*;
China/epidemiology*;
Tea;
Risk Factors
- From:
Chinese Journal of Epidemiology
2023;44(4):568-574
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To understand the depression status and its influencing factors in elderly patients with MS in China and to explore the correlation between various components of elderly MS and depression. Methods: This study is based on the "Prevention and Intervention of Key Diseases in Elderly" project. We used a multi-stage stratified cluster random sampling method to complete 16 199 elderly aged 60 years and above in 16 counties (districts) in Liaoning, Henan, and Guangdong Provinces in 2019, excluding 1 001 missing variables. Finally, 15 198 valid samples were included for analysis. The respondents' MS disease was obtained through questionnaires and physical examinations, and the respondents' depression status within the past half month was assessed using the PHQ-9 Depression Screening Scale. The correlation between elderly MS and its components and depression and its influencing factors were analyzed by logistic regression. Results: A total of 15 198 elderly aged 60 years and above were included in this study, with the prevalence of MS at 10.84% and the detection rate of depressive symptoms in MS patients at 25.49%. The detection rates of depressive symptoms in patients with 0, 1, 2, 3, and 4 MS abnormal group scores were 14.56%, 15.17%, 18.01%, 25.21%, and 26.65%, respectively. The number of abnormal components of MS was positively correlated with the detection rate of depressive symptoms, and the difference between groups was statistically significant (P<0.05). The risk of depression symptoms in patients with MS, overweight/obesity, hypertension, diabetes, and dyslipidemia was 1.73 times (OR=1.73, 95%CI:1.51-1.97), 1.13 times (OR=1.13, 95%CI:1.03-1.24), 1.25 times (OR=1.25, 95%CI:1.14-1.38), 1.41 times (OR=1.41, 95%CI:1.24-1.60), 1.81 times (OR=1.81,95%CI:1.61-2.04), respectively, more than those without the disease. Multivariate logistic regression analysis showed that the detection rate of depressive symptoms in patients with sleep disorders was higher than that with normal sleep (OR=4.89, 95%CI: 3.79-6.32). The detection rate of depressive symptoms in patients with cognitive dysfunction was 2.12 times higher than that in the average population (OR=2.12, 95%CI: 1.56-2.89). The detection rate of depressive symptoms in patients with impaired instrumental activities of daily living (IADL) was 2.31 times (OR=2.31, 95%CI: 1.64-3.26) higher than that in the average population. Tea drinking (OR=0.73, 95%CI: 0.54-0.98) and physical exercise (OR=0.67, 95%CI: 0.49-0.90) seemed to be protective factors for depression in elderly MS patients (P<0.05). Conclusions: Older patients with MS and its component abnormalities have a higher risk of depression than the average population. Sleep disorders, cognitive impairment, and IADL impairment are important influencing factors for depression in elderly MS patients, while tea drinking and physical exercise may help to reduce the risk of the disease.
