Short-Term Heart Rate Variability in a Population-Based Sample of 10-Year-Old Children

Jarrin, Denise C.; McGrath, Jennifer J.; Poirier, Paul; Séguin, Louise; Tremblay, Richard E.; Montplaisir, J; Paradis, Gilles; Séguin, Jean R.

doi:10.1007/s00246-014-0962-y

Cited by 44 publications

(45 citation statements)

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“…Results from larger studies (31,32) indicate that boys exhibit greater HRV than girls when examining time domain variables and the frequency domain variable HF. In contrast, we found higher HRV in females than males, specifically among those who were not exposed to ANCS.…”

Section: Discussionmentioning

confidence: 99%

Antenatal steroid exposure and heart rate variability in adolescents born with very low birth weight

et al. 2016

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BackgroundReduced heart rate variability (HRV) suggests autonomic imbalance in the control of heart rate and is associated with unfavorable cardiometabolic outcomes. We examined whether antenatal corticosteroid (ANCS) exposure had long-term programming effects on heart rate variability (HRV) in adolescents born with very low birth weight (VLBW).MethodsFollow-up study of a cohort of VLBW 14 year-olds born between 1992 and 1996 with 50% exposed to ANCS. HRV in both the time and frequency domains using Nevrokard Software was determined from a 5 minute electrocardiogram tracing.ResultsHRV data from 89 (35 male, 53 non-black) exposed (ANCS+) and 77 (28 male, 29 non-black) unexposed (ANCS−) adolescents were analyzed. HRV did not differ between ANCS+ and ANCS− black participants. However, in non-black participants, a significant interaction between ANCS and sex was observed, with ANCS− females having significantly greater HRV than ANCS+ females and males, and ANCS− males for both time and frequency domain variables.ConclusionsAmong non-black adolescents born with VLBW, ANCS exposure is associated with reduced HRV with apparent sex-specificity. Reduced HRV has been associated with development of adverse cardiometabolic outcomes, thus supporting the need to monitor these outcomes in VLBW adolescents as they mature.

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Section: Discussionmentioning

confidence: 99%

Antenatal steroid exposure and heart rate variability in adolescents born with very low birth weight

et al. 2016

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“…For children at age of 16 years there were no sex differences in any of the HRV studied parameter. Such studies as Jarrin et al (2015) and Galeev et al (2002) raise a question whether all statistically significant differences are clinically relevant? Whether, in fact, the small differences in the values of HRV measures are statistically different because of the mass effect, i.e., large sample sizes influencing p -value (Farland et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Measures of Heart Rate Variability in 24-h ECGs Depend on Age but Not Gender of Healthy Children

et al. 2017

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Many methods computing heart rate variability (HRV) have been applied in studies in children. Not all of these methods have a comprehensive physiological interpretation, and not all of studies are in agreement with the Task Force Standards on HRV from 1996, and the New Joint Position Statement on the advances of HRV from 2015. The study aim was to analyse HRV in the 24-h ECGs of healthy children by the Poincare plots and Lomb-Scargle periodograms, and to follow proper HRV recommendations. Additionally, we investigated the associations between age, children's sex and measured HRV indices. One hundred healthy children, aged 3–18 underwent 24-h ECG Holter monitoring. HRV was analyzed by the Poincaré plots and spectral by Lomb-Scargle periodograms of RR intervals. The Mann-Whitney test was used to compare sex differences in HRV, the van Elteren's test was used to correct for the age-gender interaction, and non-parametric Spearman correlation was applied to analyse the association between age and HRV indices. None of the HRV measures differed significantly between boys and girls. None of the HRV indices was modified by the age-gender interaction. There were statistically significant associations of age with measures of ultra-low (rho = 0.42; p < 0.0001), very low (rho = 0.35; p = 00004) and low (rho = 0.30; p = 0.0028) frequency powers, the ratio of the low to high frequency power (rho = 0.38; p = 0.0001), indices of long-term (SD2; rho = 0.37; p = 0.0002) and total (SDNN; rho = 0.33; p = 0.0008) HRV, and the contribution of the long-term HRV to total HRV (CL; rho = 0.32; p = 0.0012). In general, HRV parameters derived from the analyses of Poincaré plots and Lomb-Scargle periodograms appear not to be affected by gender, however, most of them increase with age in the 24-h ECG recordings in healthy children.

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“…Wake-time was defined as the time children and adolescents woke-up and collected the awake 0 saliva sample. Sleep duration is an established covariate of both HRV and cortisol (Jarrin et al, 2015;Rotenberg et al, 2012) …”

Section: Sleep Duration-mentioning

confidence: 99%

“…Inter-relation models included the main-effects and two-way interaction of HRV and cortisol measures. Both singular and inter-relation models adjusted for developmentally relevant covariates of HRV and cortisol that have been previously established in the literature (Jarrin et al, 2015;Rotenberg et al, 2012), including age, sex, pubertal stage, BMI Z-score, household income, parental education, sleep duration, and wake time. (Inclusion of compliance with cortisol sampling as a covariate did not alter results; data not shown for parsimony).…”

Section: Statistical Analysesmentioning

confidence: 99%

Inter-relation between autonomic and HPA axis activity in children and adolescents

Rotenberg

McGrath

2016

Biological Psychology

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Stress research in youth typically considers either the autonomic nervous system or HPA axis.However, these systems are highly coordinated and physically interconnected. We examined whether the interrelation between cardio-autonomic and HPA axis measures was better associated with perceived stress than their singular associations. Children and adolescents (N = 201) collected saliva samples to measure cortisol (AUC AG , AUC I , maximum), wore an electrocardiogram monitor for 24 h to derive heart rate variability (HRV; LF, HF, LF/HF ratio), and completed the Perceived Stress Scale. The interaction between sympathovagal modulation (LF, LF/HF ratio) and cortisol awakening response (AUC AG , AUC I , maximum) explained significantly greater variance in perceived stress than either stress system alone. Higher sympathovagal modulation combined with higher cortisol awakening response was associated with greater perceived stress. Findings suggest that the inter-relation between cardio-autonomic and HPA axis activity may advance our understanding of how stress impacts health.

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Short-Term Heart Rate Variability in a Population-Based Sample of 10-Year-Old Children

Cited by 44 publications

References 50 publications

Antenatal steroid exposure and heart rate variability in adolescents born with very low birth weight

Antenatal steroid exposure and heart rate variability in adolescents born with very low birth weight

Measures of Heart Rate Variability in 24-h ECGs Depend on Age but Not Gender of Healthy Children

Inter-relation between autonomic and HPA axis activity in children and adolescents

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