Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/136529
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Type: | Journal article |
Title: | Your best day: An interactive app to translate how time reallocations within a 24-hour day are associated with health measures |
Author: | Dumuid, D. Olds, T. Wake, M. Lund Rasmussen, C. Pedišić, Ž. Hughes, J.H. Foster, D.J. Walmsley, R. Atkin, A.J. Straker, L. Fraysse, F. Smith, R.T. Neumann, F. Kenett, R.S. Jarle Mork, P. Bennett, D. Doherty, A. Stanford, T. |
Citation: | PLoS One, 2022; 17(9):e0272343-1-e0272343-16 |
Publisher: | Public Library of Science (PLoS) |
Issue Date: | 2022 |
ISSN: | 1932-6203 1932-6203 |
Editor: | Harezlak, J. |
Statement of Responsibility: | 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 < .001), psychosocial health (F = 4.02, P < .001), and academic performance (F = 2.76, P < .001). Dragging the sliders on the app shows how self-selected time reallocations are associated with the health measures. For example, reallocating 60 minutes from screen time to physical activity was associated with -0.8 [95% CI -1.0 to -0.5] %body fat, +1.9 [1.4 to 2.5] psychosocial score and +4.5 [1.8 to 7.2] academic performance. Our app allows the health associations of time reallocations to be compared against each other. Interactive interfaces provide flexibility in selecting which time reallocations to investigate, and may transform how research findings are disseminated. |
Keywords: | Sedentary Behavior |
Description: | Published: September 7, 2022 |
Rights: | © 2022 Dumuid et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
DOI: | 10.1371/journal.pone.0272343 |
Grant ID: | http://purl.org/au-research/grants/nhmrc/1162166 http://purl.org/au-research/grants/nhmrc/1171981 http://purl.org/au-research/grants/nhmrc/1160906 http://purl.org/au-research/grants/nhmrc/1186123 http://purl.org/au-research/grants/nhmrc/1041352 http://purl.org/au-research/grants/nhmrc/1109355 |
Published version: | http://dx.doi.org/10.1371/journal.pone.0272343 |
Appears in Collections: | Computer Science publications |
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hdl_136529.pdf | Published version | 2.36 MB | Adobe PDF | View/Open |
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