Self-reported prevalence and potential factors influencing cardio-cerebral vascular disease among the Chinese elderly: A national cross-sectional study
BackgroundAging 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...
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Cardiovascular Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcvm.2022.979015/full |
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| author | Lingbing Meng Lingbing Meng Jiapei Xu Jiapei Xu Jianyi Li Jianyi Li Jiabin Hu Hongxuan Xu Dishan Wu Dishan Wu Xing Hu Xuezhai Zeng Qiuxia Zhang Juan Li Juan Li Tao Gong Deping Liu Deping Liu |
| author_facet | Lingbing Meng Lingbing Meng Jiapei Xu Jiapei Xu Jianyi Li Jianyi Li Jiabin Hu Hongxuan Xu Dishan Wu Dishan Wu Xing Hu Xuezhai Zeng Qiuxia Zhang Juan Li Juan Li Tao Gong Deping Liu Deping Liu |
| author_sort | Lingbing Meng |
| collection | DOAJ |
| description | BackgroundAging 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 methodsThrough 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.ResultsAfter 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.ConclusionMajor 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. |
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| last_indexed | 2024-04-12T16:26:57Z |
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| spelling | doaj.art-e84f4bca8405448ba1467da42dedf6b52022-12-22T03:25:20ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2022-10-01910.3389/fcvm.2022.979015979015Self-reported prevalence and potential factors influencing cardio-cerebral vascular disease among the Chinese elderly: A national cross-sectional studyLingbing Meng0Lingbing Meng1Jiapei Xu2Jiapei Xu3Jianyi Li4Jianyi Li5Jiabin Hu6Hongxuan Xu7Dishan Wu8Dishan Wu9Xing Hu10Xuezhai Zeng11Qiuxia Zhang12Juan Li13Juan Li14Tao Gong15Deping Liu16Deping Liu17Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaGraduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaGraduate School, Peking University Fifth School of Clinical Medicine (Beijing Hospital), Beijing, ChinaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaGraduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaHealth Service Department of the Guard Bureau of the Joint Staff Department, Beijing, ChinaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaGraduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaHealth Service Department of the Guard Bureau of the Joint Staff Department, Beijing, ChinaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaChina Research Center on Aging, Beijing, ChinaCenter on Aging Psychology, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, ChinaDepartment of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaGraduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaBackgroundAging 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 methodsThrough 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.ResultsAfter 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.ConclusionMajor 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.https://www.frontiersin.org/articles/10.3389/fcvm.2022.979015/fullCCVDSSAPURelderlymultivariate linear regression modelrisk factors |
| spellingShingle | Lingbing Meng Lingbing Meng Jiapei Xu Jiapei Xu Jianyi Li Jianyi Li Jiabin Hu Hongxuan Xu Dishan Wu Dishan Wu Xing Hu Xuezhai Zeng Qiuxia Zhang Juan Li Juan Li Tao Gong Deping Liu Deping Liu Self-reported prevalence and potential factors influencing cardio-cerebral vascular disease among the Chinese elderly: A national cross-sectional study Frontiers in Cardiovascular Medicine CCVD SSAPUR elderly multivariate linear regression model risk factors |
| title | Self-reported prevalence and potential factors influencing cardio-cerebral vascular disease among the Chinese elderly: A national cross-sectional study |
| title_full | Self-reported prevalence and potential factors influencing cardio-cerebral vascular disease among the Chinese elderly: A national cross-sectional study |
| title_fullStr | Self-reported prevalence and potential factors influencing cardio-cerebral vascular disease among the Chinese elderly: A national cross-sectional study |
| title_full_unstemmed | Self-reported prevalence and potential factors influencing cardio-cerebral vascular disease among the Chinese elderly: A national cross-sectional study |
| title_short | Self-reported prevalence and potential factors influencing cardio-cerebral vascular disease among the Chinese elderly: A national cross-sectional study |
| title_sort | self reported prevalence and potential factors influencing cardio cerebral vascular disease among the chinese elderly a national cross sectional study |
| topic | CCVD SSAPUR elderly multivariate linear regression model risk factors |
| url | https://www.frontiersin.org/articles/10.3389/fcvm.2022.979015/full |
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