Korean J Obes.
2015 Sep;24(3):166-174. 10.7570/kjo.2015.24.3.166.
The Relationship between Resting Heart Rate and Prevalence of Metabolic Syndrome and Type 2 Diabetes Mellitus in Korean Adults: The Fifth Korea National Health and Nutrition Examination Survey (2012)
- Affiliations
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- 1Department of Sport and Leisure Studies, Yonsei University, Seoul, Korea. jjeon@yonsei.ac.kr
- 2Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, United States.
- 3Cardiovascular Research Laboratory, Spaulding Rehabilitation Hospital, Boston, MA, United States.
- KMID: 2068491
- DOI: http://doi.org/10.7570/kjo.2015.24.3.166
Abstract
- BACKGROUND
The purpose of this study was to examine the association between resting heart rate (RHR), the risk factors and prevalences of metabolic syndrome (MetS) and type 2 diabetes (T2D) in Korean adults.
METHODS
A cross sectional analysis was performed on data from the 2012 Korea National Health and Nutrition Examination Survey (KNHANES V) using frequency analysis, analysis of covariance (ANCOVA), and logistic regression. Participants were stratified according to RHR into 5 groups; <60 bpm, 60-69 bpm, 70-79 bpm, 80-89 bpm, and > or =90 bpm.
RESULTS
The results show that risk factors of MetS and T2D increased as RHR increased. Compared to those with a RHR of <60 bpm, the prevalence of MetS increased in those with RHR of 60-69 bpm, 70-79 bpm, 80-89 bpm and > or =90 bpm by 1.46 (95% confidence interval [CI] 1.03-2.08), 2.05 (95% CI, 1.42-2.96), 2.34 (95% CI, 1.57-3.48), and 2.34 (95% CI, 1.23-4.47), respectively. Similarly, compared to those with a RHR of <60 bpm, the prevalence of T2D increased in those with RHR of 60-69 bpm, 70-79 bpm, 80-89 bpm, and > or =90 bpm by 1.01 (95% CI, 0.72-1.41), 1.44 (95% CI, 1.02-2.05), 1.83 (95% CI, 1.25-2.68), and 2.40 (95% CI, 1.30-4.44), respectively.
CONCLUSION
In conclusion, RHR was significantly associated with risk factors and prevalences of MetS and T2D. This study suggests that RHR is associated with MetS and T2D and can be used to predict such diseases.
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