<abstract xmlns="http://www.w3.org/1999/xhtml"> Study aim: The aim of this study was to evaluate the association between objectively measured daily physical activity (PA) and body fat mass (BF) and body mass index (BMI). A further aim was to analyse the variance of PA between quartiles of BF and BMI. Material and methods: A cross-sectional, observational study of 126 university students (53 males aged 20.46 ± 2.04 years and 73 female aged 19.69 ± 1.32 years) was conducted. Results: The female participants and PA characteristics explain 57.10% of BF variance and the model was statistically signifi­cant (F(6, 875) = 196.38; p = 0.001). BMI was also included in the model. Standard binary logistic regression was used to test the hypothesis that female sex and PA characteristics can influence overweight. The full model containing all variables was statistically significant (G2(6) = 58.598, p-value = 0.001). Analysis of variance between BF quartiles revealed statistically sig­nificant differences in male participants in light PA (p = 0.001; ES = 0.09), moderate PA (p = 0.001; ES = 0.042) and vigorous PA (p = 0.001; ES = 0.130). Conclusions: The statistical model in the regression analysis suggests that low and vigorous levels of PA explain 57% of BF variance in female participants. </abstract>

Study aim: The aim of this study was to evaluate the association between objectively measured daily physical activity (PA) and body fat mass (BF) and body mass index (BMI). A further aim was to analyse the variance of PA between quartiles of BF and BMI. Material and methods: A cross-sectional, observational study of 126 university students (53 males aged 20.46 ± 2.04 years and 73 female aged 19.69 ± 1.32 years) was conducted. Results: The female participants and PA characteristics explain 57.10% of BF variance and the model was statistically signifi­cant (F(6, 875) = 196.38; p = 0.001). BMI was also included in the model. Standard binary logistic regression was used to test the hypothesis that female sex and PA characteristics can influence overweight. The full model containing all variables was statistically significant (G2(6) = 58.598, p-value = 0.001). Analysis of variance between BF quartiles revealed statistically sig­nificant differences in male participants in light PA (p = 0.001; ES = 0.09), moderate PA (p = 0.001; ES = 0.042) and vigorous PA (p = 0.001; ES = 0.130). Conclusions: The statistical model in the regression analysis suggests that low and vigorous levels of PA explain 57% of BF variance in female participants.

Association between physical activity patterns and anthropometric characteristics of adults: an issue of public health?

Biomedical Human Kinetics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Study aim: The aim of this study was to evaluate the association between objectively measured daily physical activity (PA) and body fat mass (BF) and body mass...

Association between physical activity patterns and anthropometric characteristics of adults: an issue of public health?

Online veröffentlicht: 08. Sept. 2017

Seitenbereich: 124 - 132

Eingereicht: 27. Mai 2017

Akzeptiert: 28. Aug. 2017

DOI: https://doi.org/10.1515/bhk-2017-0018

Schlüsselwörter
Physical activity - Accelerometry - Body fat mass - Body mass index - Young adults

© Filipe Manuel Clemente, Fernando Manuel Lourenço Martins, Pantelis Theodoros Nikolaidis, Rui Sousa Mendes

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Association between physical activity patterns and anthropometric characteristics of adults: an issue of public health?

Online veröffentlicht: 08. Sept. 2017

Seitenbereich: 124 - 132

Eingereicht: 27. Mai 2017

Akzeptiert: 28. Aug. 2017

DOI: https://doi.org/10.1515/bhk-2017-0018

SchlüsselwörterPhysical activity - Accelerometry - Body fat mass - Body mass index - Young adults

© Filipe Manuel Clemente, Fernando Manuel Lourenço Martins, Pantelis Theodoros Nikolaidis, Rui Sousa Mendes

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Physical activity - Accelerometry - Body fat mass - Body mass index - Young adults