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Associations of cardiometabolic risk factors with heart rate variability in 6‐ to 8‐year‐old children: The PANIC Study

2019; Wiley; Volume: 21; Issue: 2 Linguagem: Inglês

10.1111/pedi.12967

1399-5448

Marja H. Leppänen, Eero A. Haapala, Aapo Veijalainen, Santeri Seppälä, Ricardo Santos Oliveira, Niina Lintu, Tomi Laitinen, Mika P. Tarvainen, Timo A. Lakka,

Cardiovascular Function and Risk Factors

Pediatric DiabetesVolume 21, Issue 2 p. 251-258 ORIGINAL ARTICLE: OBESITY/INSULIN RESISTANCE, TYPE 2 DIABETES Associations of cardiometabolic risk factors with heart rate variability in 6- to 8-year-old children: The PANIC Study Marja H. Leppänen, Corresponding Author Marja H. Leppänen marja.leppanen@folkhalsan.fi orcid.org/0000-0001-6933-8809 Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland Folkhälsan Research Center, Helsinki, Finland Correspondence Marja H. Leppänen, Faculty of Sport and Health Sciences, University of Jyväskylä, 40100 Jyväskylä, Finland. Email: marja.leppanen@folkhalsan.fiSearch for more papers by this authorEero A. Haapala, Eero A. Haapala orcid.org/0000-0001-5096-851X Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, FinlandSearch for more papers by this authorAapo Veijalainen, Aapo Veijalainen Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, FinlandSearch for more papers by this authorSanteri Seppälä, Santeri Seppälä Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, FinlandSearch for more papers by this authorRicardo S. Oliveira, Ricardo S. Oliveira Departamento de Educação Física, Universidade Federal do Rio Grande do Norte, Natal, BrazilSearch for more papers by this authorNiina Lintu, Niina Lintu Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, FinlandSearch for more papers by this authorTomi Laitinen, Tomi Laitinen Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, FinlandSearch for more papers by this authorMika P. Tarvainen, Mika P. Tarvainen Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland Department of Applied Physics, University of Eastern Finland, Kuopio, FinlandSearch for more papers by this authorTimo A. Lakka, Timo A. Lakka Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland Kuopio Research Institute of Exercise Medicine, Kuopio, FinlandSearch for more papers by this author Marja H. Leppänen, Corresponding Author Marja H. Leppänen marja.leppanen@folkhalsan.fi orcid.org/0000-0001-6933-8809 Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland Folkhälsan Research Center, Helsinki, Finland Correspondence Marja H. Leppänen, Faculty of Sport and Health Sciences, University of Jyväskylä, 40100 Jyväskylä, Finland. Email: marja.leppanen@folkhalsan.fiSearch for more papers by this authorEero A. Haapala, Eero A. Haapala orcid.org/0000-0001-5096-851X Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, FinlandSearch for more papers by this authorAapo Veijalainen, Aapo Veijalainen Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, FinlandSearch for more papers by this authorSanteri Seppälä, Santeri Seppälä Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, FinlandSearch for more papers by this authorRicardo S. Oliveira, Ricardo S. Oliveira Departamento de Educação Física, Universidade Federal do Rio Grande do Norte, Natal, BrazilSearch for more papers by this authorNiina Lintu, Niina Lintu Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, FinlandSearch for more papers by this authorTomi Laitinen, Tomi Laitinen Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, FinlandSearch for more papers by this authorMika P. Tarvainen, Mika P. Tarvainen Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland Department of Applied Physics, University of Eastern Finland, Kuopio, FinlandSearch for more papers by this authorTimo A. Lakka, Timo A. Lakka Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland Kuopio Research Institute of Exercise Medicine, Kuopio, FinlandSearch for more papers by this author First published: 19 December 2019 https://doi.org/10.1111/pedi.12967Citations: 5 Funding information Diabetes Research Foundation in Finland; Finnish Innovation Fund Sitra; Foundation for Paediatric Research; Juho Vainion Säätiö; Ministry of Education and Culture of Finland; Ministry of Social Affairs and Health of Finland; Paavo Nurmen Säätiö; Research Committee of the Kuopio University Hospital Catchment Area; Social Insurance Institution of Finland; Suomen Kulttuurirahasto; Sydäntutkimussäätiö; the city of Kuopio; Yrjö Jahnssonin Säätiö Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract Background 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. Citing Literature Volume21, Issue2March 2020Pages 251-258 RelatedInformation