News Release

Researchers develop data-based app to link daily schedule with health

Data revealed associations between how children spend their time and their health and academic performance

Peer-Reviewed Publication


Shiny app interface; time-use reallocation tab.

image: Shiny app interface; time-use reallocation tab. view more 

Credit: Dumuid et al., 2022, PLOS ONE, CC-BY 4.0 (

Researchers studying how children’s daily activities are associated with their health have developed a web app that shows users how reallocating time in their day from one activity to another could impact their health and academic performance. The new app and the data used to develop it are described in a paper published this week in the open-access journal PLOS ONE by Dorothea Dumuid of University of South Australia and colleagues. 

How we use our time may affect our health, wellbeing and productivity, but the relationships between time use and outcomes can be challenging for both health professionals and the general public to interpret. 

In the new study, the researchers used data on 1,685 eleven-to-twelve year-old children enrolled in the Australian Child Health CheckPoint study. Time spent in daily activities was derived from a self-reported 24-hour recall tool in which children recalled the activities they did on the previous day with a granularity of 5 minutes. Data on body fat percentage, psychosocial health and academic performance were also available for each participant. They discovered that, following adjustments for age, socioeconomics and puberty status, how people used their time was significantly associated with body fat percentage (F=2.66, p<0.001), psychosocial health (F=4.02, p<0.001) and academic performance (F=2.76, p<0.001). 

To convey the strength of these associations in an easy-to-understand and interactive way, the authors developed a web app, dubbed Healthy-Day-App in which users input their initial time allocations and then view how changes to their time use would be associated with outcomes. For instance, reallocating 60 minutes from screen time to physical activity is associated, on average, with 4.2% lower body fat (-0.8 [95% CI -1.0 to -0.5] percentage units), 2.5% better psychosocial health (+1.9 [1.4 to 2.5] PedsQL psychosocial health score) and 0.9% higher academic performance (+4.5 [1.8 to 7.2] NAPLAN writing score). However, the benefits may be lessened if the time for physical activity is reallocated from other activities. 

The authors say that the Healthy-Day-App is the first to allow customized estimation of the impact of time allocations and that it may enable better engagements with and understanding of the data not only by researchers but also public health promoters, medical practitioners, fitness professionals, policymakers and members of the general public.

The authors add: “Sleep, exercise, screen time, homework – there are many competing demands on our children’s time because a day only ever has 24 hours. We present an online time reallocation tool that lets us compare how various time-use trade-offs are estimated to influence children’s health and wellbeing.”


In your coverage please use this URL to provide access to the freely available article in PLOS ONE:

Citation: Dumuid D, Olds T, Wake M, Lund Rasmussen C, Pedišić Ž, Hughes JH, et al. (2022) Your best day: An interactive app to translate how time reallocations within a 24-hour day are associated with health measures. PLoS ONE 17(9): e0272343.

Author Countries: Australia, New Zealand, Czech Republic, UK, Italy, Norway

Funding: DD is supported by the Australian National Health and Medical Research Council (NHMRC) Early Career Fellowship APP1162166 and by the Centre of Research Excellence in Driving Global Investment in Adolescent Health funded by NHMRC APP1171981. MW is supported by NHMRC Principal Research Fellowship APP1160906. AD is supported by the Wellcome Trust [223100/Z/21/Z] and the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC). RW is supported by a Medical Research Council Industrial trategy Studentship (grant number MR/S502509/1). This study was supported by NHMRC Ideas APP1186123. The CheckPoint study was supported by the NHMRC [APP1041352; APP1109355]; the National Heart Foundation of Australia [100660; The Royal Children’s Hospital Foundation [2014-241]; the Murdoch Children’s Research Institute (MCRI) [No award number available]; The University of Melbourne [No award number available]; the Financial Markets Foundation for Children [2014-055, 2016-310]; and the Australian Department of Social Services (DSS) [No award number available]. Research at the MCRI is supported by the Victorian Government's Operational Infrastructure Support Program [No award number available]. The funders played no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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