Literature DB >> 24666688

Normal values for heart rate variability parameters in children 6-8 years of age: the PANIC Study.

Santeri Seppälä1, Tomi Laitinen, Mika P Tarvainen, Tuomo Tompuri, Aapo Veijalainen, Kai Savonen, Timo Lakka.   

Abstract

BACKGROUND: Measurement of heart rate variability (HRV) is a useful method for examining cardiac autonomic control. HRV has been measured in many studies among adults, but research on this topic among children is limited. We therefore defined reference values for a large number of HRV parameters among children.
METHODS: The subjects were a population sample of 465 mainly prepubertal children 6-8 years of age. Electrocardiogram (ECG) was recorded at rest, and 1- and 5-min ECG samples were selected for HRV analyses. HRV data were analysed in boys and girls separately to study possible gender differences in HRV parameters. Pearson's coefficients for correlation of age, maturity stage, height, weight and body mass index - standard deviation score (BMI-SDS) with HRV parameters were computed to study whether these factors confounded the definition of the reference values for HRV parameters.
RESULTS: We found no statistically significant differences in HRV parameters between genders. Therefore, we defined the reference values for all HRV parameters as 5th, 25th, 50th, 75th and 95th percentiles from the ECG samples in all children, but not in boys and girls separately. Age, maturity stage, height, weight and BMI-SDS had weak, if any, associations with HRV parameters, suggesting that they did not confound the definition of the reference values.
CONCLUSION: Same reference values for HRV parameters can be used in boys and girls. Although 5-min ECG recordings are preferable for measuring HRV, also 1-min recordings provide reliable data on most HRV parameters, especially those that mainly describe cardiac parasympathetic regulation.
© 2013 Scandinavian Society of Clinical Physiology and Nuclear Medicine. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  HRV; autonomic regulation; electrocardiography; gender; reference value

Mesh:

Year:  2013        PMID: 24666688     DOI: 10.1111/cpf.12096

Source DB:  PubMed          Journal:  Clin Physiol Funct Imaging        ISSN: 1475-0961            Impact factor:   2.273


  18 in total

1.  Early Heart Rate Variability and Electroencephalographic Abnormalities in Acutely Brain-Injured Children Who Progress to Brain Death.

Authors:  Juan A Piantino; Amber Lin; Daniel Crowder; Cydni N Williams; Erick Perez-Alday; Larisa G Tereshchenko; Craig D Newgard
Journal:  Pediatr Crit Care Med       Date:  2019-01       Impact factor: 3.624

2.  Nonlinear Heart Rate Dynamics Before and After Paroxysmal Atrial Fibrillation Events.

Authors:  Ting-Wei Ernie Liao; Li-Wei Lo; Yenn-Jiang Lin; Shih-Lin Chang; Yu-Feng Hu; Fa-Po Chung; Tze-Fan Chao; Jo-Nan Liao; Hui-Wen Yang; Men-Tzung Lo; Shih-Ann Chen
Journal:  Acta Cardiol Sin       Date:  2022-09       Impact factor: 1.800

3.  Simultaneous Heart Rate Variability and Electroencephalographic Monitoring in Children in the Emergency Department.

Authors:  Juan A Piantino; Amber Lin; Madison Luther; Luis D Centeno; Cydni N Williams; Craig D Newgard
Journal:  J Child Adolesc Trauma       Date:  2020-06-10

Review 4.  An Overview of Heart Rate Variability Metrics and Norms.

Authors:  Fred Shaffer; J P Ginsberg
Journal:  Front Public Health       Date:  2017-09-28

Review 5.  Postnatal Cardiac Autonomic Nervous Control in Pediatric Congenital Heart Disease.

Authors:  Ineke Nederend; Monique R M Jongbloed; Eco J C de Geus; Nico A Blom; Arend D J Ten Harkel
Journal:  J Cardiovasc Dev Dis       Date:  2016-04-15

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

Authors:  Waldemar Bobkowski; Magdalena E Stefaniak; Tomasz Krauze; Katarzyna Gendera; Andrzej Wykretowicz; Jaroslaw Piskorski; Przemyslaw Guzik
Journal:  Front Physiol       Date:  2017-05-18       Impact factor: 4.566

7.  Normative Values for Heart Rate Variability Parameters in School-Aged Children: Simple Approach Considering Differences in Average Heart Rate.

Authors:  Jakub S Gąsior; Jerzy Sacha; Mariusz Pawłowski; Jakub Zieliński; Piotr J Jeleń; Agnieszka Tomik; Tomasz M Książczyk; Bożena Werner; Marek J Dąbrowski
Journal:  Front Physiol       Date:  2018-10-24       Impact factor: 4.566

8.  Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents.

Authors:  Antonio Henrique Germano Soares; Breno Quintella Farah; Gabriel Grizzo Cucato; Carmelo José Albanez Bastos-Filho; Diego Giulliano Destro Christofaro; Luiz Carlos Marques Vanderlei; Aluísio Henrique Rodrigues de Andrade Lima; Raphael Mendes Ritti-Dias
Journal:  Einstein (Sao Paulo)       Date:  2016 Apr-Jun

9.  Relation of Heart Rate and its Variability during Sleep with Age, Physical Activity, and Body Composition in Young Children.

Authors:  David Herzig; Prisca Eser; Thomas Radtke; Alina Wenger; Thomas Rusterholz; Matthias Wilhelm; Peter Achermann; Amar Arhab; Oskar G Jenni; Tanja H Kakebeeke; Claudia S Leeger-Aschmann; Nadine Messerli-Bürgy; Andrea H Meyer; Simone Munsch; Jardena J Puder; Einat A Schmutz; Kerstin Stülb; Annina E Zysset; Susi Kriemler
Journal:  Front Physiol       Date:  2017-02-24       Impact factor: 4.566

10.  Normal Values of Corrected Heart-Rate Variability in 10-Second Electrocardiograms for All Ages.

Authors:  Marten E van den Berg; Peter R Rijnbeek; Maartje N Niemeijer; Albert Hofman; Gerard van Herpen; Michiel L Bots; Hans Hillege; Cees A Swenne; Mark Eijgelsheim; Bruno H Stricker; Jan A Kors
Journal:  Front Physiol       Date:  2018-04-27       Impact factor: 4.566

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