Literature DB >> 8854330

Population-based study of heart rate variability and prevalent myocardial infarction. The Atherosclerosis Risk in Communities Study.

D Liao1, G W Evans, L E Chambless, R W Barnes, P Sorlie, R J Simpson, G Heiss.   

Abstract

Clinically based studies have indicated that patients who have suffered myocardial infarction (MI) exhibit lower heart rate variability (HRV). Such associations have not been reported at the population level. To investigate whether MI is related to lower HRV in the general population, the authors examined a stratified random sample of 2,243 men and women aged 45-64 years, of whom 260 had had MI and 1,983 were free of any coronary heart disease manifestations. All were part of the biracial cohort of the Atherosclerosis Risk in Communities study sampled from four United States communities. Resting, 2-minute supine heart rate data were analyzed using spectral analysis to estimate high-frequency (0.16-0.35 Hz) and low-frequency (0.025-0.15 Hz) spectral powers as conventional indices of HRV. The mean levels of high-frequency powers were 1.02 and 1.23 (beats/min)2 for MI and non-MI groups, respectively (P < .05), and the low-frequency means were 2.46 and 3.11 (beats/min)2 for MI and non-MI groups, respectively (P < .01). Age, race, and sex-adjusted odds ratios (95% confidence interval) of lower high-frequency and low-frequency powers contrasting MI to non-MI individuals were 1.52 (range, 1.09-2.10) and 1.54 (range, 1.12-2.10), respectively. After adjustment for use of beta-blocker medication, the odds ratios (95% confidence interval) were 1.26 (range, 0.88-1.81) and 1.22 (range, 0.87-1.69) for lower high-frequency and low-frequency powers, respectively. The findings from this first population-based study of prevalent MI and HRV provide support for an inverse association between MI and lower HRV. However, adjusting for beta-blocker use eliminates the statistical association. These findings confirm that impaired HRV is found in individuals with prevalent MI, even when drawn as a sample of community-dwelling individuals. This impaired HRV may contribute to the increased risk of subsequent cardiovascular events previously observed in survivors of acute MI. The cross-sectional data also suggest that use of beta-blockers diminishes the odds of lower HRV associated with MI.

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Year:  1996        PMID: 8854330     DOI: 10.1016/s0022-0736(96)80082-3

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  8 in total

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Authors:  Sol M Rodríguez-Colón; Edward O Bixler; Xian Li; Alexandros N Vgontzas; Duanping Liao
Journal:  Int J Pediatr Obes       Date:  2010-10-04

2.  Metabolic syndrome burden in apparently healthy adolescents is adversely associated with cardiac autonomic modulation--Penn State Children Cohort.

Authors:  Sol M Rodríguez-Colón; Fan He; Edward O Bixler; Julio Fernandez-Mendoza; Alexandros N Vgontzas; Susan Calhoun; Zhi-Jie Zheng; Duanping Liao
Journal:  Metabolism       Date:  2015-02-03       Impact factor: 8.694

3.  Sleep variability and cardiac autonomic modulation in adolescents - Penn State Child Cohort (PSCC) study.

Authors:  Sol M Rodríguez-Colón; Fan He; Edward O Bixler; Julio Fernandez-Mendoza; Alexandros N Vgontzas; Susan Calhoun; Zhi-Jie Zheng; Duanping Liao
Journal:  Sleep Med       Date:  2014-11-04       Impact factor: 3.492

4.  The circadian pattern of cardiac autonomic modulation and obesity in adolescents.

Authors:  Sol Rodríguez-Colón; Fan He; Edward O Bixler; Julio Fernandez-Mendoza; Alexandros N Vgontzas; Arthur Berg; Yuka Imamura Kawasawa; Duanping Liao
Journal:  Clin Auton Res       Date:  2014-10-31       Impact factor: 4.435

5.  Is volcanic air pollution associated with decreased heart-rate variability?

Authors:  Dominic C Chow; Andrew Grandinetti; Ed Fernandez; A J Sutton; Tamar Elias; Barbara Brooks; Elizabeth K Tam
Journal:  Heart Asia       Date:  2010-02-23

6.  Five minute recordings of heart rate variability for population studies: repeatability and age-sex characteristics.

Authors:  R Sinnreich; J D Kark; Y Friedlander; D Sapoznikov; M H Luria
Journal:  Heart       Date:  1998-08       Impact factor: 5.994

7.  Race differences in age-trends of autonomic nervous system functioning.

Authors:  Thomas E Fuller-Rowell; David R Williams; Gayle D Love; Paula S McKinley; Richard P Sloan; Carol D Ryff
Journal:  J Aging Health       Date:  2013-06-18

8.  Insulin resistance and circadian rhythm of cardiac autonomic modulation.

Authors:  Sol M Rodríguez-Colón; Xian Li; Michele L Shaffer; Fan He; Edward O Bixler; Alexandros N Vgontzas; Jianwen Cai; Duanping Liao
Journal:  Cardiovasc Diabetol       Date:  2010-12-06       Impact factor: 9.951

  8 in total

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