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Your best day: An interactive app to translate how time reallocations within a 24-hour day are associated with health measures

Author

Listed:
  • Dorothea Dumuid
  • Timothy Olds
  • Melissa Wake
  • Charlotte Lund Rasmussen
  • Željko Pedišić
  • Jim H Hughes
  • David JR Foster
  • Rosemary Walmsley
  • Andrew J Atkin
  • Leon Straker
  • Francois Fraysse
  • Ross T Smith
  • Frank Neumann
  • Ron S Kenett
  • Paul Jarle Mork
  • Derrick Bennett
  • Aiden Doherty
  • Ty Stanford

Abstract

Reallocations of time between daily activities such as sleep, sedentary behavior and physical activity are differentially associated with markers of physical, mental and social health. An individual’s most desirable allocation of time may differ depending on which outcomes they value most, with these outcomes potentially competing with each other for reallocations. We aimed to develop an interactive app that translates how self-selected time reallocations are associated with multiple health measures. We used data from the Australian Child Health CheckPoint study (n = 1685, 48% female, 11–12 y), with time spent in daily activities derived from a validated 24-h recall instrument, %body fat from bioelectric impedance, psychosocial health from the Pediatric Quality of Life Inventory and academic performance (writing) from national standardized tests. We created a user-interface to the compositional isotemporal substitution model with interactive sliders that can be manipulated to self-select time reallocations between activities. The time-use composition was significantly associated with body fat percentage (F = 2.66, P

Suggested Citation

  • Dorothea Dumuid & Timothy Olds & Melissa Wake & Charlotte Lund Rasmussen & Željko Pedišić & Jim H Hughes & David JR Foster & Rosemary Walmsley & Andrew J Atkin & Leon Straker & Francois Fraysse & Ross, 2022. "Your best day: An interactive app to translate how time reallocations within a 24-hour day are associated with health measures," PLOS ONE, Public Library of Science, vol. 17(9), pages 1-16, September.
    • Handle: RePEc:plo:pone00:0272343
    DOI: 10.1371/journal.pone.0272343
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    References listed on IDEAS

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    1. Zou, Guang Yong & Taleban, Julia & Huo, Cindy Y., 2009. "Confidence interval estimation for lognormal data with application to health economics," Computational Statistics & Data Analysis, Elsevier, vol. 53(11), pages 3755-3764, September.
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