Prevalence and potential risk factors of self-reported diabetes among elderly people in China: A national cross-sectional study of 224,142 adults
AimTo evaluated the prevalence and potential risk factors of self-reported diabetes among the elderly in China, by demographic data, socioeconomic factors, and psychological factors.MethodsDescriptive analysis and Chi-square analysis were used to assess the prevalence and variation between self-repo...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-12-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1051445/full |
| _version_ | 1797959612790472704 |
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| author | Xing Hu Xing Hu Lingbing Meng Zhimin Wei Hongxuan Xu Jianyi Li Yingying Li Na Jia Hui Li Xin Qi Xuezhai Zeng Qiuxia Zhang Juan Li Deping Liu |
| author_facet | Xing Hu Xing Hu Lingbing Meng Zhimin Wei Hongxuan Xu Jianyi Li Yingying Li Na Jia Hui Li Xin Qi Xuezhai Zeng Qiuxia Zhang Juan Li Deping Liu |
| author_sort | Xing Hu |
| collection | DOAJ |
| description | AimTo evaluated the prevalence and potential risk factors of self-reported diabetes among the elderly in China, by demographic data, socioeconomic factors, and psychological factors.MethodsDescriptive analysis and Chi-square analysis were used to assess the prevalence and variation between self-reported diabetes and non-diabetes by demographic data, living habits, socioeconomic factors and comorbidities. Univariate and multivariate logistic regression were used to describe the odds ratios (OR) of diabetes prevalence in different groups, while stratification analysis was performed to describe prevalence based on gender, age, and urban/rural areas.Results215,041 elderly adults (102,692 males and 112,349 females) were eventually included in the analysis. The prevalence of self-reported diabetes among the elderly in China is about 8.7%, with the highest prevalence in Beijing (20.8%) and the lowest prevalence in Xizang (0.9%). Logistic regression analysis showed that urban area (P < 0.001), older age (65–84 years old, P < 0.001), female (P < 0.001), higher income(P < 0.001), poor sleep quality (P = 0.01) and some other factors were potential risk factors for diabetes.ConclusionsThis study illustrates the prevalence and potential risk factors of diabetes among the elderly in China Meanwhile, these results provide information to assist the government in controlling non-communicable diseases in the elderly. |
| first_indexed | 2024-04-11T00:35:11Z |
| format | Article |
| id | doaj.art-b47fa3d25298412f8f6d211ea55b7721 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-11T00:35:11Z |
| publishDate | 2022-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-b47fa3d25298412f8f6d211ea55b77212023-01-06T23:27:58ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-12-011010.3389/fpubh.2022.10514451051445Prevalence and potential risk factors of self-reported diabetes among elderly people in China: A national cross-sectional study of 224,142 adultsXing Hu0Xing Hu1Lingbing Meng2Zhimin Wei3Hongxuan Xu4Jianyi Li5Yingying Li6Na Jia7Hui Li8Xin Qi9Xuezhai Zeng10Qiuxia Zhang11Juan Li12Deping Liu13Health Service Department of the Guard Bureau of the Joint Staff Department, Beijing, ChinaGraduate School of Peking University Health Science Center, Beijing, ChinaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 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, 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, 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, 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, ChinaInstitute of Psychology, Chinese Academy of Sciences, Beijing, ChinaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaAimTo evaluated the prevalence and potential risk factors of self-reported diabetes among the elderly in China, by demographic data, socioeconomic factors, and psychological factors.MethodsDescriptive analysis and Chi-square analysis were used to assess the prevalence and variation between self-reported diabetes and non-diabetes by demographic data, living habits, socioeconomic factors and comorbidities. Univariate and multivariate logistic regression were used to describe the odds ratios (OR) of diabetes prevalence in different groups, while stratification analysis was performed to describe prevalence based on gender, age, and urban/rural areas.Results215,041 elderly adults (102,692 males and 112,349 females) were eventually included in the analysis. The prevalence of self-reported diabetes among the elderly in China is about 8.7%, with the highest prevalence in Beijing (20.8%) and the lowest prevalence in Xizang (0.9%). Logistic regression analysis showed that urban area (P < 0.001), older age (65–84 years old, P < 0.001), female (P < 0.001), higher income(P < 0.001), poor sleep quality (P = 0.01) and some other factors were potential risk factors for diabetes.ConclusionsThis study illustrates the prevalence and potential risk factors of diabetes among the elderly in China Meanwhile, these results provide information to assist the government in controlling non-communicable diseases in the elderly.https://www.frontiersin.org/articles/10.3389/fpubh.2022.1051445/fullprevalenceself-reporteddiabeteselderlynational cross-sectional study |
| spellingShingle | Xing Hu Xing Hu Lingbing Meng Zhimin Wei Hongxuan Xu Jianyi Li Yingying Li Na Jia Hui Li Xin Qi Xuezhai Zeng Qiuxia Zhang Juan Li Deping Liu Prevalence and potential risk factors of self-reported diabetes among elderly people in China: A national cross-sectional study of 224,142 adults Frontiers in Public Health prevalence self-reported diabetes elderly national cross-sectional study |
| title | Prevalence and potential risk factors of self-reported diabetes among elderly people in China: A national cross-sectional study of 224,142 adults |
| title_full | Prevalence and potential risk factors of self-reported diabetes among elderly people in China: A national cross-sectional study of 224,142 adults |
| title_fullStr | Prevalence and potential risk factors of self-reported diabetes among elderly people in China: A national cross-sectional study of 224,142 adults |
| title_full_unstemmed | Prevalence and potential risk factors of self-reported diabetes among elderly people in China: A national cross-sectional study of 224,142 adults |
| title_short | Prevalence and potential risk factors of self-reported diabetes among elderly people in China: A national cross-sectional study of 224,142 adults |
| title_sort | prevalence and potential risk factors of self reported diabetes among elderly people in china a national cross sectional study of 224 142 adults |
| topic | prevalence self-reported diabetes elderly national cross-sectional study |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1051445/full |
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