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Compositional Data Analysis in Time-Use Epidemiology

In: Advances in Compositional Data Analysis

Author

Listed:
  • Dorothea Dumuid

    (University of South Australia, Allied Health & Human Performance, Alliance for Research in Exercise, Nutrition and Activity (ARENA))

  • Željko Pedišić

    (Institute for Health and Sport, Victoria University)

  • Javier Palarea-Albaladejo

    (Biomathematics and Statistics Scotland)

  • Josep Antoni Martín-Fernández

    (University of Girona, Department of Computer Science, Applied Mathematics and Statistics)

  • Karel Hron

    (Palacký University, Department of Mathematical Analysis and Applications of Mathematics)

  • Timothy Olds

    (University of South Australia, Allied Health & Human Performance, Alliance for Research in Exercise, Nutrition and Activity (ARENA))

Abstract

How we allocate time to activities impacts our health. Daily times spent in activities are interrelated because they compete for time-shares within a finite 24 h window. If more time is spent in one activity, time must be taken from one or more of the remaining activities to maintain the fixed total of 24 h. Thus, time-use data have a relative nature and can be analysed accordingly using compositional data analysis. In this chapter, we demonstrate exploratory and cross-sectional inferential analyses of an eight-part time-use composition using data from the Longitudinal Study of Australian Children (n = 2224, 52% boys, mean age = 34 months, standard deviation = 3). For inferential analyses, time-use compositions are expressed as a specific choice of balance coordinates to separate between types of activities. Considering the balance coordinates as explanatory variables, we explore the relationship between children’s time-use composition and their socio-emotional health. Subsequently, we consider the balance coordinates as dependent variables and explore the relationship between parental perception of neighbourhood liveability and their child’s time-use composition.

Suggested Citation

  • Dorothea Dumuid & Željko Pedišić & Javier Palarea-Albaladejo & Josep Antoni Martín-Fernández & Karel Hron & Timothy Olds, 2021. "Compositional Data Analysis in Time-Use Epidemiology," Springer Books, in: Peter Filzmoser & Karel Hron & Josep Antoni Martín-Fernández & Javier Palarea-Albaladejo (ed.), Advances in Compositional Data Analysis, pages 383-404, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-71175-7_20
    DOI: 10.1007/978-3-030-71175-7_20
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