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Segmented School Physical Activity and Weight Status in Children: Application of Compositional Data Analysis

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  • Ryan Donald Burns

    (Department of Health & Kinesiology, University of Utah, Salt Lake City, UT 84112, USA)

  • Timothy A. Brusseau

    (Department of Health & Kinesiology, University of Utah, Salt Lake City, UT 84112, USA)

  • Yang Bai

    (Department of Health & Kinesiology, University of Utah, Salt Lake City, UT 84112, USA)

  • Wonwoo Byun

    (Department of Health & Kinesiology, University of Utah, Salt Lake City, UT 84112, USA)

Abstract

The purpose of this study was to apply compositional data analysis (CoDA) for the analysis of segmented school step counts and associate the school step count composition to body mass index (BMI) z-scores in a sample of children. Participants were 855 (51.8% female) children recruited from the fourth and fifth grades from four schools following a 7-h school schedule. Using piezoelectric pedometers, step count data were collected during physical education, recess, lunch, and during academic class time. A multi-level mixed effects model associated the step count composition with BMI z-scores. Compositional isotemporal substitution determined changes in BMI z-scores per reallocation of steps between pairs of school segments. A higher percentage of steps accrued during physical education (b = −0.34, 95%CI: −0.65–−0.03, p = 0.036) and recess (b = −0.47, 95%CI: −0.83–−0.11, p = 0.012), relative to other segments, was associated with lower BMI z-scores. Specifically, a 5% to 15% reallocation of steps accrued during lunchtime to either physical education or recess was associated with lower BMI z-scores, ranging from −0.07 to −0.25 standard deviation units. Focusing school-based promotion of physical activity during physical education and recess may have greater relative importance if targeted outcomes are weight-related.

Suggested Citation

  • Ryan Donald Burns & Timothy A. Brusseau & Yang Bai & Wonwoo Byun, 2021. "Segmented School Physical Activity and Weight Status in Children: Application of Compositional Data Analysis," IJERPH, MDPI, vol. 18(6), pages 1-11, March.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:6:p:3243-:d:521320
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    References listed on IDEAS

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    3. Dorothea Dumuid & Željko Pedišić & Javier Palarea-Albaladejo & Josep Antoni Martín-Fernández & Karel Hron & Timothy Olds, 2020. "Compositional Data Analysis in Time-Use Epidemiology: What, Why, How," IJERPH, MDPI, vol. 17(7), pages 1-17, March.
    4. Nikola Štefelová & Jan Dygrýn & Karel Hron & Aleš Gába & Lukáš Rubín & Javier Palarea-Albaladejo, 2018. "Robust Compositional Analysis of Physical Activity and Sedentary Behaviour Data," IJERPH, MDPI, vol. 15(10), pages 1-18, October.
    5. Chin, J.J. & Ludwig, D., 2013. "Increasing children's physical activity during school recess periods," American Journal of Public Health, American Public Health Association, vol. 103(7), pages 1229-1234.
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