AUTHOR=Meng Lingbing , Xu Jiapei , Li Jianyi , Hu Jiabin , Xu Hongxuan , Wu Dishan , Hu Xing , Zeng Xuezhai , Zhang Qiuxia , Li Juan , Gong Tao , Liu Deping TITLE=Self-reported prevalence and potential factors influencing cardio-cerebral vascular disease among the Chinese elderly: A national cross-sectional study JOURNAL=Frontiers in Cardiovascular Medicine VOLUME=9 YEAR=2022 URL=https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2022.979015 DOI=10.3389/fcvm.2022.979015 ISSN=2297-055X ABSTRACT=Background

Aging is an essential national condition throughout China in the 21st century. Cardio-cerebral vascular disease (CCVD) is a common chronic vascular disease in the elderly. Despite aging becoming an increasingly pressing issue, there has been no comprehensive national investigation into the risk factors, prevalence, and management of CCVD among the elderly population in China.

Materials and methods

Through the 4th Survey of the Aged Population in Urban and Rural China (SSAPUR), a nationally representative sample of 224,142 adults aged more than 60 years was surveyed using a multistage, stratified sampling method. The 4th SSAPUR was used to investigate CCVD in the elderly. Univariate and multivariate logistic proportional regression analyses explored the risk factors. These risk factors were then entered into a multivariate linear regression model to identify independent predictive factors for CCVD. Disease management was assessed from the self-reported history of physician diagnosis, treatments, and hospital visits among individuals with CCVD.

Results

After excluding samples with missing information, 215,041 individuals were included in the analysis. The overall prevalence of CCVD was 26%. Living in a rural area, being older, being female, having low literacy, smoking, getting little sleep, losing a spouse, being single, not getting enough exercise, having a bad financial situation, and not taking part in public welfare programs were the main risk factors for CCVD among the elderly in China (P < 0.05). In the multivariate linear regression model, holding all other variables at any fixed value, CCVD remained associated with “urban and rural” (β = 0.012, P < 0.001), “age” (β = −0.003, P < 0.001), “sex” (β = −0.022, P < 0.001), “education level” (β = −0.017, P < 0.001), “marriage” (β = 0.004, P = 0.047), “smoking” (β = 0.012, P = 0.003), “drinking” (β = −0.015, P = 0.001), and “sleep” (β = 0.008, P = 0.005). There were no collinearity problems among these factors.

Conclusion

Major risk factors for prevalent CCVD among the elderly in China include the following: rural residence, female, low literacy level, poor sleep quality, bereavement, non-marriage, living alone, lack of exercise, poor financial situation, and non-participation in public welfare activities. Chinese national policies for preventing, controlling, and managing risk factors for CCVD in the elderly must be urgently developed.