Evidence map›Paper›PMID 39249159›Full record

ArticleClinical autonomic research : official journal of the Clinical Autonomic Research Society2025

Comprehensive linear and nonlinear heart rate variability normative data in children.

Bahram Kakavand, Takeshi Tsuda, Aliya Centner, Safia Centner, Timothy Maul

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Article in Clinical autonomic research : official journal of the Clinical Autonomic Research Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Bahram KakavandDivision of Cardiology, Nemours Children's Health, 6535 Nemours Parkway, Orlando, FL, 32832, USA. bk0006@nemours.org.ORCID http://orcid.org/0000-0001-9984-7735
Takeshi TsudaNemours Cardiac Center, Nemours Children's Health, Wilmington, DE, USA.
Aliya CentnerCollege of Medicine, University of Central Florida, Orlando, FL, USA.
Safia CentnerCollege of Medicine, University of Central Florida, Orlando, FL, USA.
Timothy MaulDivision of Cardiology, Nemours Children's Health, 6535 Nemours Parkway, Orlando, FL, 32832, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe autonomic nervous system (ANS) is critical in regulating involuntary bodily functions, including heart rate. Heart rate variability (HRV) reflects the complex interplay between the ANS and humoral factors, making it a valuable noninvasive tool for assessing autonomic function. While HRV has been extensively studied in adults, normative data for HRV in children, primarily based on long-term rhythm recordings, are limited.

objectiveThis study aimed to establish comprehensive normative data for HRV in children.

methodsIn this retrospective study, we examined 24-h Holter monitors of children aged 1 day to 18 years, divided into six age groups, at Nemours Children's Health in Orlando, Florida, spanning the years 2013-2023. HRV analysis encompassed time-domain, frequency-domain, and nonlinear indices.

resultsHolter data for a total of 247 patients in six age groups were included. An age-related uptrend was observed in all time- and frequency-domain variables except the normalized unit of low-frequency power. Entropy analysis revealed contradictory results among different entropy techniques. Sample and approximate entropy analyses were consistent and showed less complexity and more predictability of HRV with decreasing heart rate, while Shannon entropy analysis showed the opposite. Fractal detrended fluctuation analysis exhibited significant decreases across the age groups, suggestive of diminishing self-similarity of HRV patterns.

conclusionControl of heart rate and HRV is a highly complex process and requires further study for a better understanding. It seems that no single parameter can fully elucidate the entire process. A combination of time-domain, frequency-domain, and nonlinear indices may be necessary to explain HRV behavior in the growing body.

Indexed as

Autonomic Nervous SystemHeart RateAdolescentChildChild, PreschoolElectrocardiography, AmbulatoryFemaleHumansInfantInfant, NewbornMaleNonlinear DynamicsReference ValuesRetrospective StudiesChildrenFrequency domainHRVNonlinear HRVTime domain

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.