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Influence of heart rate at rest for predicting the metabolic syndrome in older Chinese adults

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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.

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Acknowledgments

The Guangzhou Biobank Cohort Study was funded by the National Natural Science Foundation of China/Research Grants Council (No. 30518001; HKU720/05) grant; the University of Hong Kong Foundation for Educational Development and Research, Hong Kong; the Guangzhou Public Health Bureau and the Guangzhou Science and Technology Bureau, Guangzhou, China; and The University of Birmingham, UK. BόH is funded by a BBSRC studentship grant to GNT and JB. We thank the Guangzhou Health and Happiness Association for the Respectable Elders for recruiting the participants. The Guangzhou Biobank Cohort Study investigators include the followings: the Guangzhou Number 12 People’s Hospital: WS Zhang, M Cao, T Zhu, B Liu, CQ Jiang (Co-PI); The University of Hong Kong: CM Schooling, SM McGhee, RF Fielding, GM Leung, TH Lam (Co-PI); The University of Birmingham: GN Thomas, B ó Hartaigh, P Adab, KK Cheng (Co-PI).

Conflict of interest

The authors declare no conflict of interest.

Author information

Authors and Affiliations

  1. Public Health, Epidemiology and Biostatistics, University of Birmingham, Birmingham, B15 2TT, UK

    Bríain ó Hartaigh, Kar Keung Cheng & G. Neil Thomas

  2. Guangzhou Occupational Disease Prevention and Treatment Centre, Guangzhou No. 12 Hospital, Guangzhou, People’s Republic of China

    Chao Qiang Jiang & Wei Sen Zhang

  3. Department of Clinical Psychology, University of Amsterdam, Amsterdam, The Netherlands

    Jos A. Bosch

  4. Department of Community Medicine, School of Public Health, University of Hong Kong, Pokfulam, Hong Kong SAR, People’s Republic of China

    Tai Hing Lam

Authors
  1. Bríain ó Hartaigh
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  2. Chao Qiang Jiang
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  3. Jos A. Bosch
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  4. Wei Sen Zhang
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  5. Kar Keung Cheng
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  6. Tai Hing Lam
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  7. G. Neil Thomas
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Corresponding authors

Correspondence to Tai Hing Lam or G. Neil Thomas.

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Communicated by Massimo Federici.

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ó Hartaigh, B., Jiang, C.Q., Bosch, J.A. et al. Influence of heart rate at rest for predicting the metabolic syndrome in older Chinese adults. Acta Diabetol 50, 325–331 (2013). https://doi.org/10.1007/s00592-012-0396-z

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  • DOI: https://doi.org/10.1007/s00592-012-0396-z

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