Evidence map›Paper›PMID 31646994›Full record

Observational studyBMC public health2019

Life on holidays: study protocol for a 3-year longitudinal study tracking changes in children's fitness and fatness during the in-school versus summer holiday period.

Amanda Watson, Carol Maher, Grant R Tomkinson, Rebecca Golley, François Fraysse, Dorothea Dumuid, Hayley Lewthwaite, Tim Olds

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The Annual Rhythms in Sleep, Sedentary Behavior, and Physical Activity of Australian Adults: A Prospective Cohort Study.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2024
    Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. How do 24-h movement behaviours change during and after vacation? A cohort study.The international journal of behavioral nutrition and physical activity · 2023
    Article
  15. Article
  16. Article
  17. The impact of summer vacation on children's obesogenic behaviors and body mass index: a natural experiment.The international journal of behavioral nutrition and physical activity · 2020
    Observational
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

8 authors.

Amanda WatsonAlliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences, University of South Australia, Adelaide, Australia. amanda.watson@unisa.edu.au.ORCID http://orcid.org/0000-0002-9058-3435
Carol MaherAlliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences, University of South Australia, Adelaide, Australia.
Grant R TomkinsonAlliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences, University of South Australia, Adelaide, Australia.
Rebecca GolleyCollege of Nursing and Health Sciences, Flinders University, Bedford Park SA 5042, South Australia.
François FraysseAlliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences, University of South Australia, Adelaide, Australia.
Dorothea DumuidAlliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences, University of South Australia, Adelaide, Australia.
Hayley LewthwaiteAlliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences, University of South Australia, Adelaide, Australia.
Tim OldsAlliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences, University of South Australia, Adelaide, Australia.

Funding

National Health and Medical Research Council APP1125913National Health and Medical Research Council APP1143379National Health and Medical Research Council APP1162166National Heart Foundation of Australia APP102084
6 · The paper itself

Abstract

backgroundEmerging evidence suggests that children become fatter and less fit over the summer holidays but get leaner and fitter during the in-school period. This could be due to differences in diet and time use between these distinct periods. Few studies have tracked diet and time use across the summer holidays. This study will measure rates of change in fatness and fitness of children, initially in Grade 4 (age 9 years) across three successive years and relate these changes to changes in diet and time use between in-school and summer holiday periods.

methodsGrade 4 Children attending Australian Government, Catholic and Independent schools in the Adelaide metropolitan area will be invited to participate, with the aim of recruiting 300 students in total. Diet will be reported by parents using the Automated Self-Administered 24-h Dietary Assessment Tool. Time use will be measured using 24-h wrist-worn accelerometry (GENEActiv) and self-reported by children using the Multimedia Activity Recall for Children and Adults (e.g. chores, reading, sport). Measurement of diet and time use will occur at the beginning (Term 1) and end (Term 4) of each school year and during the summer holiday period. Fitness (20-m shuttle run and standing broad jump) and fatness (body mass index z-score, waist circumference, %body fat) will be measured at the beginning and end of each school year. Differences in rates of change in fitness and fatness during in-school and summer holiday periods will be calculated using model parameter estimate contrasts from linear mixed effects model. Model parameter estimate contrasts will be used to calculate differences in rates of change in outcomes by socioeconomic position (SEP), sex and weight status. Differences in rates of change of outcomes will be regressed against differences between in-school and summer holiday period diet and time use, using compositional data analysis. Analyses will adjust for age, sex, SEP, parenting style, weight status, and pubertal status, where appropriate. DISCUSSION: Findings from this project may inform new, potent avenues for intervention efforts aimed at addressing childhood fitness and fatness. Interventions focused on the home environment, or alternatively extension of the school environment may be warranted.

trial registrationAustralia New Zealand Clinical Trials Registry, identifier ACTRN12618002008202 . Retrospectively registered on 14 December 2018.

Indexed as

HolidaysPhysical FitnessSchoolsAustraliaChildFemaleHumansLongitudinal StudiesMalePediatric ObesityResearch DesignTime FactorsCohortCompositional data analysisDietObesityOverweightPhysical activitySedentary behaviourSleepUse of time

Identifiers

PMID31646994
PMCPMC6813137

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.