Vitor P Lopes1, Robert M Malina2, Rossana Gomez-Campos3, Marco Cossio-Bolaños4, Miguel de Arruda5, Edilson Hobold6. 1. Instituto Politécnico de Bragança, Departamento de Ciências do Desporto; Centro de Investigação em Desporto, Saúde e Desenvolvimento Humano (CIDESD), Bragança, Portugal. Electronic address: vplopes@ipb.pt. 2. University of Texas, Department of Kinesiology and Health Education, Austin, United States. 3. Universidad Autónoma de Chile, Santiago, Chile. 4. Universidad Católica del Maule, Departamento de Ciencias de la Actividad Física, Talca, Chile; Universidad Nacional de San Agustín, Instituto del Deporte Universitario, Arequipa, Peru. 5. Universidade Estadual de Campinas (UNICAMP), Faculdade de Educação Física, São Paulo, SP, Brazil. 6. Universidade Estadual do Oeste do Paraná, Curso de Educação Física, Marechal Cândido Rondon, PR, Brazil.
Abstract
OBJECTIVE: Evaluate the relationship between body mass index and physical fitness in a cross-sectional sample of Brazilian youth. METHODS: Participants were 3849 adolescents (2027 girls) aged 10-17 years. Weight and height were measured; body mass index was calculated. Physical fitness was evaluated with a multistage 20m shuttle run (cardiovascular endurance), standing long jump (power), and push-ups (upper body strength). Participants were grouped by sex into four age groups: 10-11, 12-13, 14-15, and 16-17 years. Sex-specific ANOVA was used to evaluate differences in each physical fitness item among weight status categories by age group. Relationships between body mass index and each physical fitness item were evaluated with quadratic regression models by age group within each sex. RESULTS: The physical fitness of thin and normal youth was, with few exceptions, significantly better than the physical fitness of overweight and obese youth in each age group by sex. On the other hand, physical fitness performances did not consistently differ, on average, between thin and normal weight and between overweight and obese youths. Results of the quadratic regressions indicated a curvilinear (parabolic) relationship between body mass index and each physical fitness item in most age groups. Better performances were attained by adolescents in the mid-range of the body mass index distribution, while performances of youth at the low and high ends of the body mass index distribution were lower. CONCLUSION: Relationships between the body mass index and physical fitness were generally nonlinear (parabolic) in youth 10-17 years.
OBJECTIVE: Evaluate the relationship between body mass index and physical fitness in a cross-sectional sample of Brazilian youth. METHODS:Participants were 3849 adolescents (2027 girls) aged 10-17 years. Weight and height were measured; body mass index was calculated. Physical fitness was evaluated with a multistage 20m shuttle run (cardiovascular endurance), standing long jump (power), and push-ups (upper body strength). Participants were grouped by sex into four age groups: 10-11, 12-13, 14-15, and 16-17 years. Sex-specific ANOVA was used to evaluate differences in each physical fitness item among weight status categories by age group. Relationships between body mass index and each physical fitness item were evaluated with quadratic regression models by age group within each sex. RESULTS: The physical fitness of thin and normal youth was, with few exceptions, significantly better than the physical fitness of overweight and obese youth in each age group by sex. On the other hand, physical fitness performances did not consistently differ, on average, between thin and normal weight and between overweight and obese youths. Results of the quadratic regressions indicated a curvilinear (parabolic) relationship between body mass index and each physical fitness item in most age groups. Better performances were attained by adolescents in the mid-range of the body mass index distribution, while performances of youth at the low and high ends of the body mass index distribution were lower. CONCLUSION: Relationships between the body mass index and physical fitness were generally nonlinear (parabolic) in youth 10-17 years.
Authors: Hsiu-Hsi Chiang; Po-Fu Lee; Yun-Tsung Chen; Chi-Fang Lin; Shu Xu; Yi-Tien Lin; Yu-Ting Lin; Yan-Jhu Su; Ben-Chang Shia; Wen-Sheng ChangChien; Chien-Chang Ho Journal: Int J Environ Res Public Health Date: 2022-07-21 Impact factor: 4.614