Resting heart rate and risk of metabolic syndrome in adults: a dose–response meta-analysis of observational studies

被引:0
作者
Xuejiao Liu
Xinping Luo
Yu Liu
Xizhuo Sun
Chengyi Han
Lu Zhang
Bingyuan Wang
Yongcheng Ren
Yang Zhao
Dongdong Zhang
Dongsheng Hu
Ming Zhang
机构
[1] Shenzhen University,Department of Preventive Medicine, Health Sciences Center
[2] Shenzhen University,The Affiliated Luohu Hospital, Health Sciences Center
[3] Zhengzhou University,Department of Epidemiology and Health Statistics, College of Public Health
来源
Acta Diabetologica | 2017年 / 54卷
关键词
Resting heart rate; Metabolic syndrome; Dose–response analysis; Meta-analysis;
D O I
暂无
中图分类号
学科分类号
摘要
The magnitude of the risk of metabolic syndrome (MetS) with increased resting heart rate (RHR) has been inconsistently reported in some observational studies, and whether a dose–response relationship exists between RHR and MetS is unclear. We performed a meta-analysis including dose–response analysis to quantitatively evaluate this association in adults. We searched PubMed, Web of Knowledge, China National Knowledge Infrastructure, and WanFang databases for articles published up to April 2, 2016. A random-effects model was used to pool relative risks (RRs) and 95% confidence intervals (CIs); restricted cubic spline function was used to assess the dose–response relationship. Seven prospective cohort studies and 10 cross-sectional studies with a total of 169,786 participants were included. The pooled RR was 2.10 (95% CI 1.80–2.46, I2 = 79.8%, n = 13) for the highest versus reference RHR category and 1.28 (95% CI 1.23–1.34, I2 = 87.7%, n = 15) for each 10 beats per minute (bpm) increment in RHR. We found no evidence of a nonlinear dose–response association between RHR and MetS (Pnonlinearity = 0.201). The relationship was consistent in most subgroup analyses and robust on sensitivity analysis. No significant publication bias was observed. This meta-analysis suggests that risk of MetS may be increased with elevated RHR.
引用
收藏
页码:223 / 235
页数:12
相关论文
共 251 条
[1]  
Alberti KG(2009)Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity Circulation 120 1640-1645
[2]  
Eckel RH(2007)The metabolic syndrome and risk of cardiovascular disease and diabetes: experiences with the new diagnostic criteria from the International Diabetes Federation Horm Metab Res 39 642-650
[3]  
Grundy SM(2014)A simplified indication of metabolic syndrome to recognize subjects with a moderate risk to develop type 2 diabetes mellitus in a large Italian sample Acta Diabetol 51 35-41
[4]  
Zimmet PZ(2015)ATLANTIC-DIP: prevalence of metabolic syndrome and insulin resistance in women with previous gestational diabetes mellitus by International Association of Diabetes in Pregnancy Study Groups criteria Acta Diabetol 52 153-160
[5]  
Cleeman JI(2010)Metabolic syndrome and all-cause mortality: a meta-analysis of prospective cohort studies Eur J Epidemiol 25 375-384
[6]  
Donato KA(2012)Metabolic syndrome and risk of cancer: a systematic review and meta-analysis Diabetes Care 35 2402-2411
[7]  
Saely CH(2005)Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement: executive summary Crit Pathw Cardiol 4 198-203
[8]  
Rein P(2011)Metabolic syndrome and kidney disease: a systematic review and meta-analysis Clin J Am Soc Nephrol 6 2364-2373
[9]  
Drexel H(2004)The metabolic syndrome and chronic kidney disease in U.S. adults Ann Intern Med 140 167-174
[10]  
Sacco S(2011)Metabolic syndrome: definitions and controversies BMC Med 9 48-1733