Effect of resting heart rate on the risk of metabolic syndrome in adults: a dose-response meta-analysis.

Abstract

Aims: Given the notable rise in the prevalence of metabolic syndrome (MS) in China, it is urgent to identify early screening indicators. Extensive dose-response meta-analyses have been conducted to investigate the association between resting heart rate (RHR) and MS, and additional relevant studies have been updated in the last five years. Therefore, this paper aims to update the results of previous meta-analyses.

Data synthesis: PubMed, Cochrane Library, Web of Science, and Embase databases were searched from the inception to 25th May 2023. Additional relevant references were manually screened. Quality assessment was performed independently by authors using the Newcastle-Ottawa Scale. Stata 15.0 software was applied for data analysis. A random-effects model was adopted to pool the effect size of hazard ratio (HR) and 95% confidence interval (CI). A restricted cubic spline function was utilized to assess dose-response relationships. The protocol was prospectively registered in PROSPERO (number CRD42023458979). 35 studies from 21 reports were included, with 433,365 adults and 84,354 events of MS and/or diabetes mellitus. The highest RHR tertile was positively associated with the risk of MS [HR = 1.80, 95% CI (1.60, 2.04)]. Dose-response analysis suggested a non-linear correlation between RHR and MS, with a 3.5% increase in risk per unit increase in RHR, at a RHR of 42.5.

Conclusions: Both high RHR and its increasing rate are significantly associated with the risk of MS. Therefore, RHR might be a non-invasive and convenient community-based screening tool for the management and monitoring of MS.