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

Authors :
Tiange Wang, ProfPhD
Zhiyun Zhao, PhD
Guixia Wang, ProfMD
Qiang Li, ProfMD
Yu Xu, ProfPhD
Mian Li, PhD
Ruying Hu, ProfPhD
Gang Chen, ProfMD
Qing Su, ProfMD
Yiming Mu, ProfMD
Xulei Tang, ProfMD
Li Yan, ProfMD
Guijun Qin, ProfMD
Qin Wan, ProfMD
Zhengnan Gao, ProfMD
Xuefeng Yu, ProfMD
Feixia Shen, ProfMD
Zuojie Luo, ProfMD
Yingfen Qin, ProfMD
Li Chen, ProfMD
Yanan Huo, ProfMD
Tianshu Zeng, ProfMD
Lulu Chen, ProfMD
Zhen Ye, ProfPhD
Yinfei Zhang, ProfMD
Chao Liu, ProfMD
Youmin Wang, ProfMD
Shengli Wu, ProfMD
Tao Yang, ProfMD
Huacong Deng, ProfMD
Jiajun Zhao, ProfMD
Lixin Shi, ProfMD
Yiping Xu, ProfMS
Min Xu, ProfPhD
Yuhong Chen, ProfMD
Shuangyuan Wang, PhD
Jieli Lu, ProfMD
Yufang Bi, ProfMD
Guang Ning, ProfMD
Weiqing Wang, ProfMD
Source :
The Lancet. Healthy Longevity, Vol 2, Iss 10, Pp e618-e628 (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

Summary: Background: 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. Methods: 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

Subjects

Subjects :
Geriatrics
RC952-954.6
Medicine

Details

Language :
English
ISSN :
26667568
Volume :
2
Issue :
10
Database :
Directory of Open Access Journals
Journal :
The Lancet. Healthy Longevity
Publication Type :
Academic Journal
Accession number :
edsdoj.38291b43371f413aa4c7e6cea77c98c4
Document Type :
article
Full Text :
https://doi.org/10.1016/S2666-7568(21)00177-X