医学
危险系数
四分位数
比例危险模型
内科学
前瞻性队列研究
冲程(发动机)
糖尿病
置信区间
队列研究
2型糖尿病
队列
内分泌学
机械工程
工程类
作者
Yanqiang Lu,Guochen Li,Pietro Ferrari,Heinz Freisling,Yanan Qiao,Luying Wu,Liping Shao,Chaofu Ke
出处
期刊:BMC Medicine
[Springer Nature]
日期:2022-06-03
卷期号:20 (1)
被引量:24
标识
DOI:10.1186/s12916-022-02389-y
摘要
Abstract Background Cardiometabolic multimorbidity (CM) is an increasing public health and clinical concern. However, predictors for the development and prognosis of CM are poorly understood. The aims of this study were to investigate the relation between handgrip strength (HGS) and the risk of CM and to examine the association of HGS with all-cause mortality risk among patients with CM. Methods This prospective cohort study involved 493,774 participants from the UK Biobank. CM was defined as the simultaneous occurrence of two or more of the following conditions: type 2 diabetes, stroke, and coronary heart disease (CHD). Cox proportional hazards models were performed to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs). Results During a median follow-up of 12.1 years, 4701 incident CM cases were documented among participants with none cardiometabolic disease at baseline. Compared with the fourth quartile (Q4), the multivariable adjusted HR (95% CI) value of Q1 of HGS for developing CM was 1.46 (1.34–1.60). In participants with one cardiometabolic disease at baseline, participants in Q1 of HGS also possessed higher risk of CM than those in Q4, with HRs (95% CIs) being 1.35 (1.23–1.49) in patients with type 2 diabetes, 1.23 (1.04–1.46) in patients with stroke, and 1.23 (1.11–1.36) in patients with CHD. For participants with CM at recruitment, HGS was also associated with the risk of all-cause mortality (Q1 vs. Q4 HR: 1.57, 95% CI: 1.36–1.80). Conclusions Our study provided novel evidence that HGS could be an independent predictor of morbidity and all-cause mortality of CM.
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