Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Biblioteca Digital d...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

Developmental pathways of fitness, and not baseline, predict fitness status at the end of childhood

Authors: Rodrigues, Luis Paulo; Stodden, David F.; Lopes, Vitor P.;

Developmental pathways of fitness, and not baseline, predict fitness status at the end of childhood

Abstract

It is generally described that children fitness levels increase along childhood. Complementary to this idea is the notion that the tracking of children’s fitness is good to moderate during this developmental time, and that baseline (initial values) of fitness are determinant on fitness development. The importance of developmental pathways has been recently reinforced by a theoretical argument that predicts that healthy lifestyle trajectories will evolve through either a positive or negative spiral of engagement or disengagement, respectively, in various physical activity behaviors across childhood that are reciprocally linked to motor skill, perceived competence and fitness development (Stodden et al., 2008). The main goal of this study is to test the hypothesis that different developmental pathways of physical fitness do occur during childhood (6-to-9 years-old), and to test their correlation with baseline fitness status. Methods This longitudinal study design included 507 primary school children who were assessed annually for four years on seven physical fitness tests. Childhood individual trajectories (baseline and slope values) on each of the fitness tests were determined along the four years of the study. Participants were divided into three groups according to individual fitness trajectories over time: Slow Rate of Change (Slow RC Change), Average Rate of Change (Average RC), and High Rate of Change (High RC). An ANOVA 3x2 (Group x Sex) with Bonferroni post hoc tests was used to test for the differences on rate of change between the constituted groups, and sex. Correlations between slope and test values were used to analyze the possibility of fitness performance prediction along the four years of the study. Results Results showed (1)significant differences on the rate of change between all groups (p.15 for all cases);and no positive correlation between baseline values and final values on physical fitness. Discussion The fact that differential pathways of fitness development were found throughout childhood adds to the established knowledge, and can be used as fundament for children’s fitness programs. The level of fitness, even if not satisfactory early in childhood, can be changed, and it is the pathway, not the baseline, that shows to be of major importance for children to achieve a fit state. In conclusion, children show different rates of change in fitness development over childhood; and having a positive developmental trajectory of fitness predicts a fitter state at the end of childhood, independent of the initial values at 6-years-of-age.Introduction It is generally described that children fitness levels increase along childhood. Complementary to this idea is the notion that the tracking of children’s fitness is good to moderate during this developmental time, and that baseline (initial values) of fitness are determinant on fitness development. The importance of developmental pathways has been recently reinforced by a theoretical argument that predicts that healthy lifestyle trajectories will evolve through either a positive or negative spiral of engagement or disengagement, respectively, in various physical activity behaviors across childhood that are reciprocally linked to motor skill, perceived competence and fitness development (Stodden et al., 2008). The main goal of this study is to test the hypothesis that different developmental pathways of physical fitness do occur during childhood (6-to-9 years-old), and to test their correlation with baseline fitness status. Methods This longitudinal study design included 507 primary school children who were assessed annually for four years on seven physical fitness tests. Childhood individual trajectories (baseline and slope values) on each of the fitness tests were determined along the four years of the study. Participants were divided into three groups according to individual fitness trajectories over time: Slow Rate of Change (Slow RC Change), Average Rate of Change (Average RC), and High Rate of Change (High RC). An ANOVA 3x2 (Group x Sex) with Bonferroni post hoc tests was used to test for the differences on rate of change between the constituted groups, and sex. Correlations between slope and test values were used to analyze the possibility of fitness performance prediction along the four years of the study. Results Results showed (1)significant differences on the rate of change between all groups (p.15 for all cases);and no positive correlation between baseline values and final values on physical fitness. Discussion The fact that differential pathways of fitness development were found throughout childhood adds to the established knowledge, and can be used as fundament for children’s fitness programs. The level of fitness, even if not satisfactory early in childhood, can be changed, and it is the pathway, not the baseline, that shows to be of major importance for children to achieve a fit state. In conclusion, children show different rates of change in fitness development over childhood; and having a positive developmental trajectory of fitness predicts a fitter state at the end of childhood, independent of the initial values at 6-years-of-age.

Country
Portugal
Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities
STARS EU