@article{be7705e7613343c094533a5c0972afc7,
title = "Association Between Fasting Blood Glucose and All-Cause Mortality in a Rural Chinese Population: 15-Year Follow-Up Cohort Study",
abstract = "Introduction: The worldwide prevalence of diabetes has been increasing for decades; diabetes can lead to serious health problems and even death, but the effects of maintaining low fasting blood glucose (FBG) remain controversial. The purpose of this study was to investigate the relationship between FBG levels and all-cause mortality in a long-term follow-up cohort and to find a relatively safe range of FBG levels. Methods: This study included 17,902 adults from a community-based cohort study in rural China who were prospectively followed from 2003 to 2018. Generalized estimating equations were used to evaluate the association between FBG and all-cause mortality, adjusting for pertinent covariates and auto-correlations among siblings. Results: A total of 1053 (5.9%) deaths occurred during 15 years of follow-up. There was a significant U-shaped association between all-cause mortality and FBG. Compared with the reference group (FBG of 5.6 – < 6.1 mmol/l), the risk of death among individuals with FBG levels < 5.6 mmol/l significantly increased by 38% (OR 1.34; 95% CI 1.13–1.59), while the risk of death among individuals with FBG ≥ 6.1 mmol/l or participants with a self-reported history of diabetes significantly increased by 51% (OR 1.49; 95% CI 1.20–1.85). Additionally, the U-shaped association remained steady in any stratification of risk factors. Conclusion: Our study showed a significant U-shaped relationship between FBG levels and risk of all-cause mortality in this rural Chinese population. When FBG was within the range of 5.6 – < 6.1 mmol/l, the risk of all-cause mortality was the lowest.",
keywords = "All-cause mortality, Fasting blood glucose, U-shaped relationship",
author = "Nannan Cheng and Yue Zhang and Jie Yang and Jingyi Li and Lijing Ye and Ziyi Zhou and Zhuo Wang and Lishun Liu and Yun Song and Zhibo Yang and Guiping She and Xue Bai and Xiao Huang and Xiaoshu Cheng and Genfu Tang and Binyan Wang and Xianhui Qin and Pierre Zalloua and Fangrong Yan and Xiping Xu",
note = "Funding Information: The study was supported by funding from the following: the National Key Research and Development Program (2016YFE0205400, 2018ZX09739010, 2018ZX09301034003), the Science and Technology Planning Project of Guangzhou, China (201707020010), the Science, Technology, and Innovation Committee of Shenzhen (GJHS20170314114526143, JSGG20180703155802047), the Economic, Trade and Information Commission of Shenzhen Municipality (20170505161556110, 20170505160926390, 201705051617070), the National Natural Science Foundation of China (81730019, 81973133, 81960074, 81500233), Jiangxi Outstanding Person Foundation (20192BCBL23024), and the Major Projects of the Science and Technology Department, Jiangxi (20171BAB205008). The journal{\textquoteright}s Rapid Service Fee was paid by the authors. Xiping Xu, the PI of the osteoporosis cohort study, has full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Funding Information: Xiping Xu reports grants from the National Key Research and Development Program (2016YFE0205400, 2018ZX09739010, 2018ZX09301034003), the Science and Technology Planning Project of Guangzhou, China (201707020010), the Science, Technology and Innovation Committee of Shenzhen (GJHS20170314114526143, JSGG20180703155802047), and the Economic, Trade and Information Commission of Shenzhen Municipality (20170505161556110, 20170505160926390, 201705051617070). Xianhui Qin reports grants from the National Natural Science Foundation of China (81730019, 81973133). Xiao Huang reports grants from the National Natural Science Foundation of China (81960074, 81500233), the Jiangxi Outstanding Person Foundation (20192BCBL23024), and Major Projects of the Science and Technology Department, Jiangxi (20171BAB205008). Nannan Cheng, Yue Zhang, Jie Yang, Jingyi Li, Lijing Ye, Ziyi Zhou, Zhuo Wang, Lishun Liu, Yun Song, Zhibo Yang, Guiping She, Xue Bai, Xiaoshu Cheng, Genfu Tang, Binyan Wang, Pierre Zalloua, and Fangrong Yan have nothing to disclose. Publisher Copyright: {\textcopyright} 2020, The Author(s).",
year = "2020",
month = nov,
day = "1",
doi = "10.1007/s13300-020-00927-6",
language = "British English",
volume = "11",
pages = "2691--2701",
journal = "Diabetes Therapy",
issn = "1869-6953",
publisher = "Springer Publishing Company",
number = "11",
}