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Prevalence and potential risk factors of self-reported diabetes among elderly people in China

A national cross-sectional study of 224,142 adults

Bibliographic Data

ID22085014
AuthorsXing Hu (0000-0001-9701-1790, Peking University), Ling‐bing Meng (0000-0003-1746-6109, Chinese Academy of Medical Sciences & Peking Union Medical College), Lingbing Meng, Zhimin Wei (0000-0001-9489-5199), Hongxuan Xu (0000-0002-0750-2279, Chinese Academy of Medical Sciences & Peking Union Medical College), Jianyi Li (0000-0002-3520-2281, Chinese Academy of Medical Sciences & Peking Union Medical College), Yingying Li (0000-0002-1858-4257), Ying‐Ying Li (0000-0002-9127-604X, Chinese Academy of Medical Sciences & Peking Union Medical College), Na Jia (0000-0003-0532-7064, Chinese Academy of Medical Sciences & Peking Union Medical College), Hui Li (0000-0001-9355-1116, Chinese Academy of Medical Sciences & Peking Union Medical College), Xin Qi (0000-0002-6040-9567), Qi Xin (0000-0003-1191-3158, Chinese Academy of Medical Sciences & Peking Union Medical College), Xuezhai Zeng (Chinese Academy of Medical Sciences & Peking Union Medical College), Qiuxia Zhang (0009-0003-2560-4038), Juan Li (0000-0002-8639-6100, Chinese Academy of Medical Sciences & Peking Union Medical College), Deping Liu (0000-0001-5887-4120, Chinese Academy of Medical Sciences & Peking Union Medical College, corresponding author)
Year2022
Volume10
Pages1051445-1051445
Publication date2022-12-16
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.1051445
PMID36620236
OpenAlexW4313275898
LanguageEN
Citations received4
References cited41

Aim To evaluated the prevalence and potential risk factors of self-reported diabetes among the elderly in China, by demographic data, socioeconomic factors, and psychological factors. Methods Descriptive 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. Results 215,041 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. Conclusions This 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

Cross-sectional study · Diabetes mellitus · Environmental health · Logistic regression · Multivariate analysis · Odds ratio · Population · Socioeconomic status · Chronic Disease Management Strategies · Demography · Diabetes Management and Education · Diabetes, Cardiovascular Risks, and Lipoproteins · Medicine · Gerontology · Internal Medicine

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Citations per year1.33
Citation span2023 - 2025 (3)
Highly citedNo

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