Establishing modified Canadian Aerobic Fitness Test (mCAFT) cut-points to detect clustered cardiometabolic risk among Canadian children and youth aged 9 to 17 years

Appl Physiol Nutr Metab. 2020 Mar;45(3):311-317. doi: 10.1139/apnm-2019-0303. Epub 2019 Aug 12.

Abstract

The objective of this study was to establish cut-points to identify potential clustered cardiometabolic risk among children (aged 9-13 years) and youth (aged 14-17 years) using the modified Canadian Aerobic Fitness Test (mCAFT). Nationally representative cross-sectional data were obtained from cycles 1 and 2 (2007-2011) of the Canadian Health Measures Survey. Cardiorespiratory fitness was measured using the mCAFT, which was used to estimate peak oxygen consumption. Clustered cardiometabolic health was identified as the mean of 4 standardized variables: sum of 4 skinfolds; total cholesterol-to-high-density lipoprotein ratio; and systolic and diastolic blood pressure. In total, 2106 (49% female) participants were retained for this analysis. The optimal mCAFT cut-point for males was 49 and 46 mL·kg-1·min-1 among children and youth, respectively. Among females, the mCAFT cut-point was 46 and 37 mL·kg-1·min-1 among children and youth, respectively. In 2016-2017, 83% of females and 71% of males met the new mCAFT cut-points. The mCAFT cut-points can help identify children and youth at potential risk of poor cardiometabolic health in public health surveillance, clinical, and school-based settings. Novelty We developed new mCAFT cut-points to identify potential clustered cardiometabolic risk among Canadian children and youth. These mCAFT cut-points can be used to inform national health surveillance efforts.

Keywords: adolescent; aerobic evaluation; aptitude physique; child; enfant; fitness; health; santé; surveillance; évaluation aérobie.

MeSH terms

  • Adolescent
  • Canada / epidemiology
  • Cardiovascular Diseases / epidemiology*
  • Cardiovascular Diseases / physiopathology*
  • Child
  • Cluster Analysis
  • Cross-Sectional Studies
  • Female
  • Health Status
  • Health Surveys / methods*
  • Health Surveys / statistics & numerical data
  • Humans
  • Male
  • Metabolic Diseases / epidemiology*
  • Metabolic Diseases / physiopathology*
  • Physical Fitness / physiology*
  • Risk Factors