A1 Journal article (refereed)
Associations of cardiometabolic risk factors with heart rate variability in 6‐ to 8‐year‐old children : The PANIC Study (2020)
Leppänen, M. H., Haapala, E. A., Veijalainen, A., Seppälä, S., Oliveira, R. S., Lintu, N., Laitinen, T., Tarvainen, M. P., & Lakka, T. A. (2020). Associations of cardiometabolic risk factors with heart rate variability in 6‐ to 8‐year‐old children : The PANIC Study. Pediatric Diabetes, 21(2), 251-258. https://doi.org/10.1111/pedi.12967
JYU authors or editors
Publication details
All authors or editors: Leppänen, Marja H.; Haapala, Eero A.; Veijalainen, Aapo; Seppälä, Santeri; Oliveira, Ricardo S.; Lintu, Niina; Laitinen, Tomi; Tarvainen, Mika P.; Lakka, Timo A.
Journal or series: Pediatric Diabetes
ISSN: 1399-543X
eISSN: 1399-5448
Publication year: 2020
Volume: 21
Issue number: 2
Pages range: 251-258
Publisher: John Wiley & Sons
Publication country: United Kingdom
Publication language: English
DOI: https://doi.org/10.1111/pedi.12967
Publication open access: Not open
Publication channel open access:
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/68312
Publication is parallel published: https://erepo.uef.fi/handle/123456789/7990
Abstract
Associations of cardiometabolic risk factors with heart rate variability (HRV) in children are unclear. We examined associations of cardiometabolic risk score (CRS) and individual cardiometabolic risk factors with HRV variables in 6‐ to 8‐year‐olds.
Methods
The participants were a population‐based sample of 443 children participating in baseline measurements of the Physical Activity and Nutrition in Children trial. Cardiometabolic risk factors included waist circumference (WC), insulin, glucose, triglycerides, HDL cholesterol, systolic blood pressure (SBP), and diastolic blood pressure (DBP). CRS was calculated as WC + insulin + glucose + triglycerides − HDL cholesterol + the mean of SBP and DBP. HRV variables (SDNN, RMSSD, HF, LF, LF/HF, Mean RR) were measured using 5‐minute electrocardiography at rest and analyzed using the Kubios HRV software. In this cross‐sectional study, associations of CRS and individual cardiometabolic risk factors with HRV were investigated using linear regression analyses adjusted for sex and peak height velocity.
Results
CRS was negatively associated with RMSSD, HF, Mean RR (P value < .05) and positively with LF/HF (P value = .005). Insulin was negatively associated with SDNN, RMSSD, HF, LF, and Mean RR (P value < .05) and positively with LF/HF (P value = .008). SBP was negatively associated with SDNN, RMSSD, HF, LF, and Mean RR (P value < .05). DBP was negatively associated with SDNN, RMSSD, and Mean RR (P value < .05). WC, glucose, triglycerides, or HDL cholesterol were not associated with HRV variables.
Conclusions
Higher CRS, insulin, and blood pressure were associated with smaller HRV, mainly indicating lower parasympathetic activity, in young children. This knowledge may help improving the clinical management of metabolic syndrome and cardiovascular diseases since childhood.
Keywords: children (age groups); body composition; physical fitness; metabolic disorders; autonomic nervous system
Free keywords: autonomic nervous system; body fat; cardiorespiratory fitness; metabolic profile; pediatrics
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2020
JUFO rating: 2
