Peak oxygen uptake cut-points to identify children at increased cardiometabolic risk - The PANIC Study

Andrew O Agbaje, Eero A Haapala, Niina Lintu, Anna Viitasalo, Alan R Barker, Tim Takken, Tuomo Tompuri, Virpi Lindi, Timo A Lakka

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

We aimed to develop cut-points for directly measured peak oxygen uptake (VO 2peak) to identify boys and girls at increased cardiometabolic risk using different scaling methods to control for body size and composition. Altogether 352 children (186 boys, 166 girls) aged 9-11 years were included in the analyses. We measured V̇O 2peak directly during a maximal cycle ergometer exercise test and lean body mass (LM) by bioelectrical impedance. We computed a sex- and age-specific cardiometabolic risk score (CRS) by summing important cardiometabolic risk factors and defined increased cardiometabolic risk as >1 standard deviation above the mean of CRS. Receiver operating characteristics curves were used to detect V̇O 2peak cut-points for increased cardiometabolic risk. Boys with V̇O 2peak <45.8 mL kg body mass (BM) −1 min −1 (95% confidence interval [CI] = 45.1 to 54.6, area under the curve [AUC] = 0.86, P < 0.001) and <63.2 mL kg LM −1 min −1 (95% CI =52.4 to 67.5, AUC = 0.65, P = 0.006) had an increased CRS. Girls with V̇O 2peak <44.1 mL kg BM −1 min −1 (95% CI = 44.0 to 58.6, AUC = 0.67, P = 0.013) had an increased CRS. V̇O 2peak scaled by BM −0.49 and LM −0.77 derived from log-linear allometric modeling poorly predicted increased cardiometabolic risk in boys and girls. In conclusion, directly measured VO 2peak <45.8 mL kg BM −1 min −1 among boys and <44.1 mL kg BM −1 min −1 among girls were cut-points to identify those at increased cardiometabolic risk. Appropriately controlling for body size and composition reduced the ability of cardiorespiratory fitness to identify children at increased cardiometabolic risk.

Original languageEnglish
Pages (from-to)16-24
Number of pages9
JournalScandinavian Journal of Medicine & Science in Sports
Volume29
Issue number1
Early online date19 Sept 2018
DOIs
Publication statusPublished - Jan 2019

Keywords

  • Journal Article
  • allometric scaling
  • adiposity
  • metabolic health
  • children
  • aerobic fitness
  • maximal exercise
  • Predictive Value of Tests
  • Cardiorespiratory Fitness
  • Humans
  • Risk Factors
  • Oxygen Consumption
  • Male
  • Exercise Test
  • Female
  • ROC Curve
  • Cardiovascular Diseases/diagnosis
  • Child

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