Danilo Silva1, André O Werneck1, Paul Collings2,3, Crisieli M Tomeleri1, RôMulo A Fernandes4, Enio Ronque1, Danielle Venturini5, Décio S Barbosa5, Manuel J Coelho-E-Silva6, Luís B Sardinha7, Edilson S Cyrino1. 1. Study and Research Group in Metabolism, Nutrition, and Exercise (GEPEMENE) State University of Londrina (UEL), Londrina, Brazil. 2. MRC Epidemiology Unit, University of Cambridge, Cambridge, UK. 3. Bradford Institute for Health Research, Bradford NHS Foundation Trust, Bradford, UK. 4. Scientific Research Group Related to Physical Activity (GICRAF), Laboratory of InVestigation in Exercise (LIVE), Department of Physical Education, Universidade Estadual Paulista (UNESP), Presidente Prudente, Brazil. 5. Department of Pathology, Clinical and Toxicological Analysis, Center of Health Sciences, University Hospital, State University of Londrina (UEL), Londrina, Brazil. 6. Faculty of Sport Sciences and Physical Education, University of Coimbra, Coimbra, Portugal. 7. Exercise and Health Laboratory, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal.
Abstract
OBJECTIVE: Our aim was to determine the relationship between cardiorespiratory fitness (CRF) and metabolic risk in adolescents from Southern Brazil. METHODS: We performed a school-based cross-sectional study in 1,037 adolescents (436 boys) aged 10-16 years from Londrina, PR, Brazil. CRF was determined by 20-m shuttle run test. A continuous metabolic risk score was obtained from the mean of fasting glucose, triglycerides, high density lipoprotein, blood pressure, and waist circumference z-scores. Age, physical activity (Baecke questionnaire), body mass index (BMI; weight/stature(2) ), and somatic maturity (Mirwald method) were included as covariates in multiple linear regression analyses. RESULTS: CRF was related to metabolic risk in boys (β = -0.02, P < 0.01) and girls (β = -0.01, P = 0.02) after adjusting for chronological age, BMI, and somatic maturity. However, when adjusted for physical activity, CRF failed to explain metabolic risk in girls (β = -0.01, P = 0.24). CONCLUSION: We conclude that CRF is independently and inversely related to metabolic risk in boys, but physical activity either mediates or confounds the association between CRF and metabolic risk in girls. Am. J. Hum. Biol. 28:534-538, 2016.
OBJECTIVE: Our aim was to determine the relationship between cardiorespiratory fitness (CRF) and metabolic risk in adolescents from Southern Brazil. METHODS: We performed a school-based cross-sectional study in 1,037 adolescents (436 boys) aged 10-16 years from Londrina, PR, Brazil. CRF was determined by 20-m shuttle run test. A continuous metabolic risk score was obtained from the mean of fasting glucose, triglycerides, high density lipoprotein, blood pressure, and waist circumference z-scores. Age, physical activity (Baecke questionnaire), body mass index (BMI; weight/stature(2) ), and somatic maturity (Mirwald method) were included as covariates in multiple linear regression analyses. RESULTS: CRF was related to metabolic risk in boys (β = -0.02, P < 0.01) and girls (β = -0.01, P = 0.02) after adjusting for chronological age, BMI, and somatic maturity. However, when adjusted for physical activity, CRF failed to explain metabolic risk in girls (β = -0.01, P = 0.24). CONCLUSION: We conclude that CRF is independently and inversely related to metabolic risk in boys, but physical activity either mediates or confounds the association between CRF and metabolic risk in girls. Am. J. Hum. Biol. 28:534-538, 2016.
Authors: Leonardo G O Luz; Manuel J Coelho-E-Silva; João P Duarte; João Valente-Dos-Santos; Aristides Machado-Rodrigues; André Seabra; Bruno C M Carmo; Roel Vaeyens; Renaat M Philippaerts; Sean P Cumming; Robert M Malina Journal: J Sports Sci Med Date: 2018-05-14 Impact factor: 2.988
Authors: André O Werneck; Jorge Conde; Manuel J Coelho-E-Silva; Artur Pereira; Daniela C Costa; Diogo Martinho; João P Duarte; João Valente-Dos-Santos; Rômulo A Fernandes; Mariana B Batista; David Ohara; Edilson S Cyrino; Enio R V Ronque Journal: BMC Pediatr Date: 2019-04-08 Impact factor: 2.125