Ryan E R Reid1, Alicia Fillon2, David Thivel2, Mélanie Henderson3, Tracie A Barnett4, Jean-Luc Bigras5, Marie-Eve Mathieu6. 1. School of Kinesiology and Physical Activity Science, Université de Montréal, Canada; Research Center, Sainte-Justine University Hospital Research Center, Canada. 2. Metabolic Adaptation to Exercise Under PhyioPathological Condition Laboratory (AME2P), Center for Human Nutrition Research (CRNH Auvergne), Clermont Auvergne University, France. 3. Research Center, Sainte-Justine University Hospital Research Center, Canada; Department of Pediatrics, Université de Montréal, Canada. 4. Research Center, Sainte-Justine University Hospital Research Center, Canada; Department of Family Medicine, McGill University, Canada. 5. Research Center, Sainte-Justine University Hospital Research Center, Canada. 6. School of Kinesiology and Physical Activity Science, Université de Montréal, Canada; Research Center, Sainte-Justine University Hospital Research Center, Canada. Electronic address: me.mathieu@umontreal.ca.
Abstract
OBJECTIVES: As time with patients and resources are increasingly limited, it is important to determine if clinical tests can provide further insight into real-world behaviors linked to clinical outcomes. The purpose of this study was to determine which aspects of anthropometry and physical fitness testing are associated with physical activity (PA) levels among youth with obesity. DESIGN: Cross-sectional study. METHOD: Anthropometry [height, waist circumference, bodyweight, fat percentage], physical fitness [muscular endurance (partial curl-ups), flexibility (sit-and-reach), lower-body power (long-jump), upper-body strength (grip), speed/agility (5×5-m shuttle), cardiorespiratory fitness (VO2-max)], and PA [light (LPA), moderate (MPA), vigorous (VPA), MVPA] was assessed in 203 youth with obesity. RESULTS: The sample was stratified by age <12 yrs (children); 12 yrs (adolescents) and sex. Stepwise regression evaluated associations between PA with anthropometry and physical fitness. Children (57% male) and adolescents (45% male) had a BMI Z-score of 3.5(SD:0.94) and 3.1(SD:0.76) respectively. Long-jump explained 19.5% [(Standardized) Beta=0.44; p=0.001] of variance in VPA for childhood girls and 12.6% (Beta=0.35; p=0.025) of variance in MPA for adolescent boys. 5×5-m shuttle explained 8.4% (Beta=-0.29; p=0.042) of variance in MVPA for childhood girls. Body mass explained 6.3% (Beta=-0.25; p=0.007) of variance in LPA in childhood boys. Fat percentage explained 9.8% (Beta=0.31; p=0.03) of variance in MPA in adolescent girls. CONCLUSIONS: In conclusion, tests of lower body power, body mass and fat percentage provide limited information concerning PA levels in youth with obesity. Activity monitoring should be considered in addition to clinical assessments to more fully understand youth health.
OBJECTIVES: As time with patients and resources are increasingly limited, it is important to determine if clinical tests can provide further insight into real-world behaviors linked to clinical outcomes. The purpose of this study was to determine which aspects of anthropometry and physical fitness testing are associated with physical activity (PA) levels among youth with obesity. DESIGN: Cross-sectional study. METHOD: Anthropometry [height, waist circumference, bodyweight, fat percentage], physical fitness [muscular endurance (partial curl-ups), flexibility (sit-and-reach), lower-body power (long-jump), upper-body strength (grip), speed/agility (5×5-m shuttle), cardiorespiratory fitness (VO2-max)], and PA [light (LPA), moderate (MPA), vigorous (VPA), MVPA] was assessed in 203 youth with obesity. RESULTS: The sample was stratified by age <12 yrs (children); 12 yrs (adolescents) and sex. Stepwise regression evaluated associations between PA with anthropometry and physical fitness. Children (57% male) and adolescents (45% male) had a BMI Z-score of 3.5(SD:0.94) and 3.1(SD:0.76) respectively. Long-jump explained 19.5% [(Standardized) Beta=0.44; p=0.001] of variance in VPA for childhood girls and 12.6% (Beta=0.35; p=0.025) of variance in MPA for adolescent boys. 5×5-m shuttle explained 8.4% (Beta=-0.29; p=0.042) of variance in MVPA for childhood girls. Body mass explained 6.3% (Beta=-0.25; p=0.007) of variance in LPA in childhood boys. Fat percentage explained 9.8% (Beta=0.31; p=0.03) of variance in MPA in adolescent girls. CONCLUSIONS: In conclusion, tests of lower body power, body mass and fat percentage provide limited information concerning PA levels in youth with obesity. Activity monitoring should be considered in addition to clinical assessments to more fully understand youth health.
Authors: Eduardo Melguizo-Ibáñez; Virginia Viciana-Garófano; Félix Zurita-Ortega; José Luis Ubago-Jiménez; Gabriel González-Valero Journal: Children (Basel) Date: 2020-12-24