Evidence map›Paper›PMID 40229983›Full record

ArticleJournal of activity, sedentary and sleep behaviors2022

Many different roads lead to Rome: equivalence of time-use for activity, sedentary and sleep behaviours and dietary intake profiles among adolescents.

Dorothea Dumuid, Maddison L Mellow, Tyman E Stanford, Kar Hau Chong, Susan M Sawyer, Ashleigh E Smith, Charlotte Lund Rasmussen, Alexandra Wade, Timothy Olds

Abstract read
In one paragraph

Article in Journal of activity, sedentary and sleep behaviors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Machine learning in physical activity, sedentary, and sleep behavior research.Journal of activity, sedentary and sleep behaviors · 2024
    Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Dorothea DumuidAlliance for Research in Exercise, Nutrition and Activity, Allied Health & Human Performance, University of South Australia, City East Campus, Frome Rd, GPO Box 2471, Adelaide, SA, 5001, Australia. dot.dumuid@unisa.edu.au.
Maddison L MellowAlliance for Research in Exercise, Nutrition and Activity, Allied Health & Human Performance, University of South Australia, City East Campus, Frome Rd, GPO Box 2471, Adelaide, SA, 5001, Australia.
Tyman E StanfordAlliance for Research in Exercise, Nutrition and Activity, Allied Health & Human Performance, University of South Australia, City East Campus, Frome Rd, GPO Box 2471, Adelaide, SA, 5001, Australia.
Kar Hau ChongEarly Start, School of Health and Society, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, NSW, Australia.
Susan M SawyerCentre for Adolescent Health, Royal Children's Hospital and Murdoch Children's Research Institute, The University of Melbourne, Parkville, VIC, Australia.
Ashleigh E SmithAlliance for Research in Exercise, Nutrition and Activity, Allied Health & Human Performance, University of South Australia, City East Campus, Frome Rd, GPO Box 2471, Adelaide, SA, 5001, Australia.
Charlotte Lund RasmussenDepartment of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
Alexandra WadeAlliance for Research in Exercise, Nutrition and Activity, Allied Health & Human Performance, University of South Australia, City East Campus, Frome Rd, GPO Box 2471, Adelaide, SA, 5001, Australia.
Timothy OldsAlliance for Research in Exercise, Nutrition and Activity, Allied Health & Human Performance, University of South Australia, City East Campus, Frome Rd, GPO Box 2471, Adelaide, SA, 5001, Australia.

Funding

National Health and Medical Research Council APP1162166National Health and Medical Research Council NHMRC APP1171981
6 · The paper itself

Abstract

backgroundHow we spend our time and what we eat have important implications for our health. Evidence suggests that health-equivalent behaviour change options which result in the same benefit are available within both time use (physical activities, sedentary behaviours and sleep) and diet (e.g., fruit and vegetables, snack foods). However, it is not yet known if health-equivalent choices exist across both time-use and diet behaviours. This study aimed to explore if a variety of different time-use and dietary profiles were associated with equivalent physical functioning score among adolescents.

methodsThis study used cross-sectional data from 2123 adolescent participants from the Longitudinal Study of Australian Children (LSAC) (mean age = 14.4 ± 0.5 years), including time-use diaries (min/day of sleep, self-care, screen time, quiet time, physical activity, school-related and domestic/social), diet questionnaires (serves/day of fruit and vegetables, discretionary (snack) foods and sugar-sweetened beverages) and a measure of physical functioning (PedsQL™ 4.0 physical functioning scale for teens). Multiple linear regression models were used to find the association of 24-h time-use composition (expressed as isometric log ratios) and dietary variables with physical functioning score. The models were used to estimate which time-use and diet profiles (within a feasible range from the sample average) were associated with equivalent physical functioning scores. Finally, an interactive app was developed to make the results accessible to end users.

resultsWithin 30 min and 1.5 servings of the average adolescent's time-use and dietary behaviours, 45 equivalent options were associated with a ~ 0.2 SD improvement in physical functioning scale. All options associated with this improvement in physical function involved increasing physical activity and increasing fruit and vegetable intake, whilst also reducing discretionary food intake and sugar-sweetened beverages. Most behavioural options also increased sleep and reduced time spent in self-care, screen time and quiet time activities.

conclusionsThere are a range of time-use and diet profiles that may result in equivalent benefits in physical functioning among adolescents. Communicating these options using decision tools such as interactive apps may allow for tailored interventions across both time use and diet which are based on an individual's needs, preferences and constraints.

Indexed as

AdolescentDietHealthNon-communicable diseasesTime use

Identifiers

PMID40229983
PMCPMC11934514

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.