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Yoo CS, Lee K, Yi SH, et al. Association of heart rate variability with the framingham risk score in healthy adults. Korean J Fam Med. 2011;32(6):334-40doi: 10.4082/kjfm.2011.32.6.334.
Yoo, C. S., Lee, K., Yi, S. H., Kim, J. S., & Kim, H. C. (2011). Association of heart rate variability with the framingham risk score in healthy adults. Korean journal of family medicine, 32(6), 334-40. https://doi.org/10.4082/kjfm.2011.32.6.334
Yoo, Cheol Seung, et al. "Association of heart rate variability with the framingham risk score in healthy adults." Korean journal of family medicine vol. 32,6 (2011): 334-40. doi: https://doi.org/10.4082/kjfm.2011.32.6.334
Yoo CS, Lee K, Yi SH, Kim JS, Kim HC. Association of heart rate variability with the framingham risk score in healthy adults. Korean J Fam Med. 2011 Sep;32(6):334-40. doi: 10.4082/kjfm.2011.32.6.334. Epub 2011 Sep 28. PMID: 22745871; PMCID: PMC3383143.
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Korean J Fam Med. 2011 Sep;32(6):334-40. doi: 10.4082/kjfm.2011.32.6.334. Epub 2011 Sep 28.

Association of heart rate variability with the framingham risk score in healthy adults.

Korean journal of family medicine

Cheol Seung Yoo, Kayoung Lee, Sang Hoon Yi, Jun-Su Kim, Hee-Cheol Kim

Affiliations

  1. School of Computer Aided Science & Institute of Basic Science, Inje University, Gimhae, Korea.

PMID: 22745871 PMCID: PMC3383143 DOI: 10.4082/kjfm.2011.32.6.334

Abstract

BACKGROUND: The aim of this study was to investigate the relationship between heart rate variability (HRV), the Framingham risk score (FRS), and the 10-year risk of coronary heart disease (CHD) development among Korean adults.

METHODS: The subjects were 85 healthy Korean adults recruited from a health check-up center. The FRS and 10-year risk of CHD development were calculated.

RESULTS: The FRS in men was inversely correlated with the standard deviation of all normal to normal RR-intervals (SDNN); the root mean square successive difference (RMSSD); the percentage of successive normal cardiac inter-beat intervals greater than 20 ms, 30 ms, and 50 ms (pNN20, pNN30, pNN50); the low frequency (LF); and the high frequency (HF) (P < 0.05). There was no significant relationship between the FRS and HRV in women. Overall, in the receiver operating characteristic (ROC) analysis, the RMSSD, HF, SDNN, LF, LF/HF ratio, and pNN30 predicted an increased 10-year CHD risk. After adjusting for sex and body mass index, those with greater than one standard deviation in the RMSSD, HF, and LF had a 52-59% reduction in their 10-year risk of CHD development ≥ 10%.

CONCLUSION: This study therefore indicates that the HRV indices, particularly SDNN, RMSSD, pNN30, LF, and HF may be useful parameters for the assessment of CHD risk. Most notably, the usefulness of these HRV measures as indicators for CHD risk evaluation may be greater among men than among women.

Keywords: Electrocardiography; Heart Rate; Risk Assessment

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