BACKGROUND: This study was designed to model the relationship between an ActiGraph-based "in-school" physical activity (PA) and the daily one among children and to quantify how school can contribute to the daily PA recommendations. METHOD: Fifty boys and 43 girls (aged 8 to 11 years) wore ActiGraph for 2 schooldays of no structured PA. The daily moderate-to-vigorous PA (MVPA(d)) was regressed on the school time MVPA (MVPA(s)). Then, a ROC analysis was computed to define the required MVPA(s). RESULTS: Children spent 57% of their awaking time at school. School time PA opportunities (ie, recesses: approximately 18% of a child's awaking time) accounted for > 70% of the MVPA(d) among children. Then, MVPA(d) (Y) could be predicted from MVPA(s) (X) using the equation: Y= 2.06 X0.88; R2 = .889, P < .0001. Although, this model was sex-specifically determined, cross-validations showed valid estimates of MVPA(d). Finally, with a sensitivity of 100% and a specificity of 90%, MVPA(s), a 34 min x d(-1) was required to prompt the daily recommendation. CONCLUSIONS: The current study shows the contribution of MVPA at school to recommended activity levels and suggests the value of activity performed during recesses. It also calls for encouraging both home- and community-based interventions, predominantly directed toward girls.
BACKGROUND: This study was designed to model the relationship between an ActiGraph-based "in-school" physical activity (PA) and the daily one among children and to quantify how school can contribute to the daily PA recommendations. METHOD: Fifty boys and 43 girls (aged 8 to 11 years) wore ActiGraph for 2 schooldays of no structured PA. The daily moderate-to-vigorous PA (MVPA(d)) was regressed on the school time MVPA (MVPA(s)). Then, a ROC analysis was computed to define the required MVPA(s). RESULTS:Children spent 57% of their awaking time at school. School time PA opportunities (ie, recesses: approximately 18% of a child's awaking time) accounted for > 70% of the MVPA(d) among children. Then, MVPA(d) (Y) could be predicted from MVPA(s) (X) using the equation: Y= 2.06 X0.88; R2 = .889, P < .0001. Although, this model was sex-specifically determined, cross-validations showed valid estimates of MVPA(d). Finally, with a sensitivity of 100% and a specificity of 90%, MVPA(s), a 34 min x d(-1) was required to prompt the daily recommendation. CONCLUSIONS: The current study shows the contribution of MVPA at school to recommended activity levels and suggests the value of activity performed during recesses. It also calls for encouraging both home- and community-based interventions, predominantly directed toward girls.
Authors: Thibaut Derigny; Christophe Schnitzler; Teun Remmers; Dave Van Kann; Joseph Gandrieau; Ndongo Seye; Georges Baquet; François Potdevin Journal: BMC Public Health Date: 2022-07-12 Impact factor: 4.135
Authors: Robert Glenn Weaver; Rafael M Tassitano; Maria Cecília M Tenório; Keith Brazendale; Michael W Beets Journal: J Phys Act Health Date: 2021-10-09
Authors: Mine Yıldırım; Maïté Verloigne; Ilse de Bourdeaudhuij; Odysseas Androutsos; Yannis Manios; Regina Felso; Éva Kovács; Alain Doessegger; Bettina Bringolf-Isler; Saskia J te Velde; Johannes Brug; Mai J M Chinapaw Journal: BMC Public Health Date: 2011-03-25 Impact factor: 3.295
Authors: Dorota Groffik; Erik Sigmund; Karel Frömel; František Chmelík; Petra Nováková Lokvencová Journal: Int J Public Health Date: 2012-03-14 Impact factor: 3.380