title: Influence of heart rate at rest for predicting the metabolic syndrome in older Chinese adults.
abstract: The aim of this study was to examine the relationship between seated resting heart rate and the metabolic syndrome (MetS) among older residents of Guangzhou, South China. A total of 30,519 older participants (≥50 years) from the Guangzhou Biobank Cohort Study were stratified into quartiles based on seated resting heart rate. The associations between each quartile and the MetS were assessed using multivariable logistic regression. A total of 6,907 (22.8 %) individuals were diagnosed as having the MetS, which was significantly associated with increasing heart rate quartiles (P < 0.001). Participants in the uppermost quartile (mean resting heart rate 91 ± 8 beats/min) of this cardiovascular proxy had an almost twofold increased adjusted risk (odds ratio (95 % CI) = 1.94 (1.79, 2.11), P < 0.001) for the MetS, as compared to those in the lowest quartile (mean resting heart rate, 63 ± 4 beats/min). Heart rate, which is an inexpensive and simple clinical measure, was independently associated with the MetS in older Chinese adults. We hope these observations will spur further studies to examine the usefulness of resting heart rate as a means of risk stratification in such populations, for which targeted interventions should be implemented.
authors.affiliation: Public Health, Epidemiology and Biostatistics, University of Birmingham, Birmingham, B15 2TT, UK. BXO882@bham.ac.uk
authors.forename: Bríain
authors.initials: B
authors.lastname: O'Hartaigh
authors.forename: Chao Qiang
authors.initials: CQ
authors.lastname: Jiang
authors.forename: Jos A
authors.initials: JA
authors.lastname: Bosch
authors.forename: Wei Sen
authors.initials: WS
authors.lastname: Zhang
authors.forename: Kar Keung
authors.initials: KK
authors.lastname: Cheng
authors.forename: Tai Hing
authors.initials: TH
authors.lastname: Lam
authors.forename: G Neil
authors.initials: GN
authors.lastname: Thomas
mesh_terms: D017677:Age Distribution; D000368:Aged; D044466:Asian People / Q000706:statistics & numerical data*; D002681:China / Q000453:epidemiology; D015331:Cohort Studies; D050171:Dyslipidemias / Q000175:diagnosis / Q000208:ethnology*; D005260:Female; D006339:Heart Rate; D006801:Humans; D006943:Hyperglycemia / Q000175:diagnosis / Q000208:ethnology*; D008055:Lipids / Q000097:blood; D016015:Logistic Models; D008297:Male; D024821:Metabolic Syndrome / Q000175:diagnosis / Q000208:ethnology*; D008875:Middle Aged; D016017:Odds Ratio; D011237:Predictive Value of Tests; D012146:Rest; D012307:Risk Factors
chemical_list: D008055:Lipids