Age-related disparities in diabetes risk attributable to modifiable risk factor profiles in Chinese adults: a nationwide, population-based, cohort study

National investigations of age-specific modifiable risk profiles for diabetes are crucial to promote personalised strategies for the prevention and control of diabetes, particularly in countries such as China, which is experiencing both a diabetes epidemic and a rapidly ageing population. We aimed t...

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Veröffentlicht in:The Lancet. Healthy longevity 2021-10, Vol.2 (10), p.e618-e628
Hauptverfasser: Wang, Tiange, Zhao, Zhiyun, Wang, Guixia, Li, Qiang, Xu, Yu, Li, Mian, Hu, Ruying, Chen, Gang, Su, Qing, Mu, Yiming, Tang, Xulei, Yan, Li, Qin, Guijun, Wan, Qin, Gao, Zhengnan, Yu, Xuefeng, Shen, Feixia, Luo, Zuojie, Qin, Yingfen, Chen, Li, Huo, Yanan, Zeng, Tianshu, Chen, Lulu, Ye, Zhen, Zhang, Yinfei, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Deng, Huacong, Zhao, Jiajun, Shi, Lixin, Xu, Yiping, Xu, Min, Chen, Yuhong, Wang, Shuangyuan, Lu, Jieli, Bi, Yufang, Ning, Guang, Wang, Weiqing
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Sprache:eng
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Zusammenfassung:National investigations of age-specific modifiable risk profiles for diabetes are crucial to promote personalised strategies for the prevention and control of diabetes, particularly in countries such as China, which is experiencing both a diabetes epidemic and a rapidly ageing population. We aimed to examine the associations of 12 potentially modifiable socioeconomic, lifestyle, and metabolic risk factors with diabetes in a nationwide prospective cohort of Chinese adults across four age groups. We analysed data from the China Cardiometabolic Disease and Cancer Cohort Study, a nationwide, population-based, cohort study done between Jan 1, 2011, and Dec 31, 2016. Among 93 781 participants without diabetes at baseline and with complete information available about risk factors and diabetes incidence, we examined the hazard ratios (HRs) and population-attributable risk percentages (PAR%s) of incident diabetes associated with 12 potentially modifiable risk factors: two socioeconomic risk factors (less education and intermediate or low grade occupation), five lifestyle risk factors (unhealthy diet, physical inactivity, current alcohol consumption, current smoking, and unhealthy sleep), and five metabolic risk factors (general or central obesity, insulin resistance, prediabetes, hypertension, and dyslipidaemia) across four age groups (40 to
ISSN:2666-7568
2666-7568
DOI:10.1016/S2666-7568(21)00177-X