Cardiorespiratory fitness in children: Evidence for criterion-referenced cut-points
Criterion-referenced cut-points for field-based cardiorespiratory fitness for children (CRF) are lacking. This study determined: (a) the association between CRF and obesity, (b) the optimal cut-points for low CRF associated with obesity in children, and (c) the association between obesity and peak o...
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description | Criterion-referenced cut-points for field-based cardiorespiratory fitness for children (CRF) are lacking. This study determined: (a) the association between CRF and obesity, (b) the optimal cut-points for low CRF associated with obesity in children, and (c) the association between obesity and peak oxygen uptake ([Formula: see text]) estimated from the 20-m shuttle run test using two different prediction equations.
A total of 8,740 children aged 10.1±1.2 were recruited from 11 sites across Canada. CRF was assessed using 20mSRT reported as running speed at the last completed stage, number of completed laps and predicted [Formula: see text], which was estimated at the age by sex level using the Léger et al. and FitnessGram equations. Body mass index and waist circumference z-scores were used to identify obesity. Receiver operating characteristic (ROC) curves and logistic regression determined the discriminatory ability of CRF for predicting obesity.
20mSRT had satisfactory predictive ability to detect obesity estimated by BMI, WC, and BMI and WC combined (area under the curve [AUC]>0.65). The FitnessGram equation (AUC>0.71) presented somewhat higher discriminatory power for obesity than the equation of Léger et al. (AUC>0.67) at most ages. Sensitivity was strong (>70%) for all age- and sex-specific cut-points, with optimal cut-points in 8- to 12-year-olds for obesity identified as 39 mL•kg-1•min-1 (laps: 15; speed: 9.0 km/h) and 41 mL•kg-1•min-1 (laps: 15-17; speed: 9.0 km/h) for girls and boys, respectively.
20mSRT performance is negatively associated with obesity and CRF cut-points from ROC analyses have good discriminatory power for obesity. |
doi_str_mv | 10.1371/journal.pone.0201048 |
format | Article |
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A total of 8,740 children aged 10.1±1.2 were recruited from 11 sites across Canada. CRF was assessed using 20mSRT reported as running speed at the last completed stage, number of completed laps and predicted [Formula: see text], which was estimated at the age by sex level using the Léger et al. and FitnessGram equations. Body mass index and waist circumference z-scores were used to identify obesity. Receiver operating characteristic (ROC) curves and logistic regression determined the discriminatory ability of CRF for predicting obesity.
20mSRT had satisfactory predictive ability to detect obesity estimated by BMI, WC, and BMI and WC combined (area under the curve [AUC]>0.65). The FitnessGram equation (AUC>0.71) presented somewhat higher discriminatory power for obesity than the equation of Léger et al. (AUC>0.67) at most ages. Sensitivity was strong (>70%) for all age- and sex-specific cut-points, with optimal cut-points in 8- to 12-year-olds for obesity identified as 39 mL•kg-1•min-1 (laps: 15; speed: 9.0 km/h) and 41 mL•kg-1•min-1 (laps: 15-17; speed: 9.0 km/h) for girls and boys, respectively.
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A total of 8,740 children aged 10.1±1.2 were recruited from 11 sites across Canada. CRF was assessed using 20mSRT reported as running speed at the last completed stage, number of completed laps and predicted [Formula: see text], which was estimated at the age by sex level using the Léger et al. and FitnessGram equations. Body mass index and waist circumference z-scores were used to identify obesity. Receiver operating characteristic (ROC) curves and logistic regression determined the discriminatory ability of CRF for predicting obesity.
20mSRT had satisfactory predictive ability to detect obesity estimated by BMI, WC, and BMI and WC combined (area under the curve [AUC]>0.65). The FitnessGram equation (AUC>0.71) presented somewhat higher discriminatory power for obesity than the equation of Léger et al. (AUC>0.67) at most ages. Sensitivity was strong (>70%) for all age- and sex-specific cut-points, with optimal cut-points in 8- to 12-year-olds for obesity identified as 39 mL•kg-1•min-1 (laps: 15; speed: 9.0 km/h) and 41 mL•kg-1•min-1 (laps: 15-17; speed: 9.0 km/h) for girls and boys, respectively.
20mSRT performance is negatively associated with obesity and CRF cut-points from ROC analyses have good discriminatory power for obesity.</description><subject>Age</subject><subject>Analysis</subject><subject>Barnes, Grant</subject><subject>Biology and Life Sciences</subject><subject>Body composition</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Cardiorespiratory fitness</subject><subject>Child development</subject><subject>Child health</subject><subject>Children</subject><subject>Children & youth</subject><subject>Criteria</subject><subject>Criterion-referenced tests</subject><subject>Exercise</subject><subject>Fitness</subject><subject>Girls</subject><subject>Health aspects</subject><subject>Health care</subject><subject>Human performance</subject><subject>Laboratories</subject><subject>Lang, Joel</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Medicine and Health 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One</addtitle><date>2018-08-01</date><risdate>2018</risdate><volume>13</volume><issue>8</issue><spage>e0201048</spage><epage>e0201048</epage><pages>e0201048-e0201048</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Criterion-referenced cut-points for field-based cardiorespiratory fitness for children (CRF) are lacking. This study determined: (a) the association between CRF and obesity, (b) the optimal cut-points for low CRF associated with obesity in children, and (c) the association between obesity and peak oxygen uptake ([Formula: see text]) estimated from the 20-m shuttle run test using two different prediction equations.
A total of 8,740 children aged 10.1±1.2 were recruited from 11 sites across Canada. CRF was assessed using 20mSRT reported as running speed at the last completed stage, number of completed laps and predicted [Formula: see text], which was estimated at the age by sex level using the Léger et al. and FitnessGram equations. Body mass index and waist circumference z-scores were used to identify obesity. Receiver operating characteristic (ROC) curves and logistic regression determined the discriminatory ability of CRF for predicting obesity.
20mSRT had satisfactory predictive ability to detect obesity estimated by BMI, WC, and BMI and WC combined (area under the curve [AUC]>0.65). The FitnessGram equation (AUC>0.71) presented somewhat higher discriminatory power for obesity than the equation of Léger et al. (AUC>0.67) at most ages. Sensitivity was strong (>70%) for all age- and sex-specific cut-points, with optimal cut-points in 8- to 12-year-olds for obesity identified as 39 mL•kg-1•min-1 (laps: 15; speed: 9.0 km/h) and 41 mL•kg-1•min-1 (laps: 15-17; speed: 9.0 km/h) for girls and boys, respectively.
20mSRT performance is negatively associated with obesity and CRF cut-points from ROC analyses have good discriminatory power for obesity.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30067796</pmid><doi>10.1371/journal.pone.0201048</doi><tpages>e0201048</tpages><orcidid>https://orcid.org/0000-0002-0489-7906</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age Analysis Barnes, Grant Biology and Life Sciences Body composition Body mass Body mass index Body size Cardiorespiratory fitness Child development Child health Children Children & youth Criteria Criterion-referenced tests Exercise Fitness Girls Health aspects Health care Human performance Laboratories Lang, Joel Mathematical analysis Mathematical models Medicine and Health Sciences Metabolism Obesity Oxygen Oxygen uptake People and Places Physical fitness Population Predictions Public health Regression analysis Research and Analysis Methods Risk factors Sex Social Sciences Teenagers |
title | Cardiorespiratory fitness in children: Evidence for criterion-referenced cut-points |
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