Association of heart rate and diabetes among 0.5 million adults in the China Kadoorie biobank: Results from observational and Mendelian randomization analyses

孟德尔随机化 医学 比例危险模型 生命银行 糖尿病 观察研究 2型糖尿病 内科学 单核苷酸多态性 人口学 置信区间 危险系数 内分泌学 生物信息学 遗传学 生物 遗传变异 社会学 基因型 基因
作者
Wenxiu Wang,Jingjia Wang,Jun Lv,Canqing Yu,Chunli Shao,Yi‐Da Tang,Yu Guo,Bin Zheng,Huaidong Du,Ling Yang,Iona Y. Millwood,Robin Walters,Yiping Chen,Liang Chang,Lei Fan,Junshi Chen,Zhengming Chen,Tao Huang,Liming Li,Junshi Chen,Zhengming Chen,Robert Clarke,Rory Collins,Yu Guo,Liming Li,Jun Lv,Richárd Pető,Robin Walters,Daniel Avery,Ruth Boxall,Derrick Bennett,Yu‐Mei Chang,Yiping Chen,Zhengming Chen,Robert Clarke,Huaidong Du,Simon Gilbert,Alex Hacker,Mike Hill,Michael V. Holmes,Andri Iona,Christiana Kartsonaki,Rene Kerosi,Ling Kong,Om Kurmi,Garry Lancaster,Sarah Lewington,Keqin Lin,J. A. M. McDonnell,Iona Y. Millwood,Qunhua Nie,Jayakrishnan Radhakrishnan,Paul Ryder,Sam Sansome,Dan Schmidt,Paul Sherliker,Rajani Sohoni,Becky Stevens,Iain Turnbull,Robin G. Walters,Jenny Wang,Lin Wang,Neil Wright,Ling Yang,Xiaoming Yang,Bin Zheng,Yu Guo,Xiao Han,Chenping Hou,Jun Lv,Pei Pei,Chao Liu,Yunlong Tan,Canqing Yu,Zengchang Pang,Ruqin Gao,Shanpeng Li,Shaojie Wang,Yongmei Liu,Ranran Du,Yajing Zang,Liang Cheng,Xiaocao Tian,Hua Zhang,Yaoming Zhai,Na Feng,Xiaotao Sun,Feifei Li,Silu Lv,Junzheng Wang,Wei Hou,Mingyuan Zeng,Jian Ge,Xin‐Da Zhou,Lucy Yang,Hua He,Bo Yu,Yanjie Li,Qinai Xu,Qi Kang,Ziyan Guo,Dan Wang,Xiaoyi Hu,Jinyan Chen,Yan Fu,Zhenwang Fu,Xiaohuan Wang,Min Wang,Zhendong Guo,Shukuan Wu,Yilei Li,Huimei Li,Zhanli Fu,Ming Wu,Yonglin Zhou,Jinyi Zhou,Ran Tao,Jie Yang,Jian Su,Fang Liu,Jun Zhang,Yihe Hu,Yan Lü,Liangcai Ma,Aiyu Tang,Shuo Zhang,Jianrong Jin,Jingchao Liu,Zhenzhu Tang,Naying Chen,Ying Huang,Mingqiang Li,Jia Meng,Rong Pan,Qilian Jiang,Jian Lan,Yun Liu,Liuping Wei,Liyuan Zhou,Ningyu Chen Ping Wang,Fanwen Meng,Yulu Qin,Sisi Wang,Xianping Wu,Ningmei Zhang,Xiaofang Chen,Weiwei Zhou,Guojin Luo,Jianguo Li,Xiaofang Chen,Xunfu Zhong,Jiaqiu Liu,Qiang Sun,Pengfei Ge,Xiaolan Ren,Caixia Dong,Dongliang Zhang,Enke Mao,Xiaoping Wang,Tao Wang,Xi Zhang,Zhongxiang Ding,Gang Zhou,Feng Shi,Liang Chang,Lei Fan,Yulian Gao,Tengbing He,Huarong Sun,Ping He,Chen Hu,Xukui Zhang,Huifang Wu,Ping He,Miao Yu,Ruying Hu,Hao Wang,Yijian Qian,Chunmei Wang,Kaixu Xie,Lingli Chen,Yidan Zhang,Dongxia Pan,Qijun Gu,Yanqing Huang,Biyun Chen,Li Yin,Huilin Liu,Zhongxi Fu,Qi Xu,Xin Xu,Hao Zhang,Huajun Long,Xianzhi Li,Libo Zhang,Zhe Qiu
出处
期刊:Nutrition Metabolism and Cardiovascular Diseases [Elsevier]
卷期号:31 (8): 2328-2337 被引量:4
标识
DOI:10.1016/j.numecd.2021.04.015
摘要

Background and aims Observational studies have associated resting heart rate with incident diabetes. Whether the associations are causal remains unclear. We aimed to examine the shape and strength of the associations and assessed the causal relevance of such associations in Chinese adults. Methods and results The China Kadoorie Biobank enrolled 512,891 adults in China. Cox proportional hazard regression models was conducted to estimate hazard ratios (HRs) for the associations of resting heart rate with type 2 diabetes and total diabetes. Among 92,724 participants, 36 single-nucleotide polymorphisms (SNPs) related to resting heart rate were used to construct genetic risk score. We used Mendelian randomization analyses to make the causal inferences. During a median follow-up of 9 years, 7872 incident type 2 diabetes and 13,349 incident total diabetes were documented. After regression dilution bias adjustment, each 10 bpm higher heart rate was associated with about a 26% higher risk of type 2 diabetes (HR, 1.26 [95% CI, 1.23, 1.29]) and 23% higher risk of total diabetes (HR, 1.23 [95% CI, 1.20, 1.26]). Instrumental variable analyses showed participants at top quintile compared with those at bottom quintile had 30% higher risk for type 2 diabetes (HR, 1.30 [95% CI, 1.17, 1.43]), and 10% higher risk for total diabetes (HR, 1.10 [95% CI, 1.02, 1.20]). Conclusions This study provides evidence that resting heart rate is an important risk factor for diabetes risk. The results suggest that novel treatment approaches targeting reduction of high heart rate for incidence of diabetes may be worth further investigation.
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