Evidence map›Paper›PMID 36859292›Full record

ArticleThe international journal of behavioral nutrition and physical activity2023

How do 24-h movement behaviours change during and after vacation? A cohort study.

Ty Ferguson, Rachel Curtis, Francois Fraysse, Timothy Olds, Dorothea Dumuid, Wendy Brown, Adrian Esterman, Carol Maher

Abstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Ty FergusonAlliance for Research in Exercise, Nutrition and Activity (ARENA) of the University of South Australia, Adelaide, SA, Australia. ty.ferguson@unisa.edu.au.ORCID 0000-0003-0106-7621
Rachel CurtisAlliance for Research in Exercise, Nutrition and Activity (ARENA) of the University of South Australia, Adelaide, SA, Australia.
Francois FraysseAlliance for Research in Exercise, Nutrition and Activity (ARENA) of the University of South Australia, Adelaide, SA, Australia.
Timothy OldsAlliance for Research in Exercise, Nutrition and Activity (ARENA) of the University of South Australia, Adelaide, SA, Australia.
Dorothea DumuidAlliance for Research in Exercise, Nutrition and Activity (ARENA) of the University of South Australia, Adelaide, SA, Australia.
Wendy BrownSchool of Human Movement and Nutrition Sciences of the University of Queensland, Brisbane, QLD, Australia.
Adrian EstermanAlliance for Research in Exercise, Nutrition and Activity (ARENA) of the University of South Australia, Adelaide, SA, Australia.
Carol MaherAlliance for Research in Exercise, Nutrition and Activity (ARENA) of the University of South Australia, Adelaide, SA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor adults, vacations represent a break from daily responsibilities of work - offering the opportunity to re-distribute time between sleep, sedentary behaviour, light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) across the 24-h day. To date, there has been minimal research into how activity behaviour patterns change on vacation, and whether any changes linger after the vacation. This study examined how daily movement behaviours change from before, to during and after vacations, and whether these varied based on the type of vacation and vacation duration.

methodsData collected during the Annual Rhythms In Adults' lifestyle and health (ARIA) study were used. 308 adults (mean age 40.4 years, SD 5.6) wore Fitbit Charge 3 fitness trackers 24 h a day for 13 months. Minute-by-minute movement behaviour data were aggregated into daily totals. Multi-level mixed-effects linear regressions were used to compare movement behaviours during and post-vacation (4 weeks) to pre-vacation levels (14 days), and to examine the associations with vacation type and duration.

resultsParticipants took an average of 2.6 (SD = 1.7) vacations of 12 (SD = 14) days' (N = 9778 days) duration. The most common vacation type was outdoor recreation (35%) followed by family/social events (31%), rest (17%) and non-leisure (17%). Daily sleep, LPA and MVPA all increased (+ 21 min [95% CI = 19,24] p < 0.001, + 3 min [95% CI = 0.4,5] p < 0.02, and + 5 min [95% CI = 3,6] p < 0.001 respectively) and sedentary behaviour decreased (-29 min [95% CI = -32,-25] p < 0.001) during vacation. Post-vacation, sleep remained elevated for two weeks; MVPA returned to pre-vacation levels; and LPA and sedentary behaviour over-corrected, with LPA significantly lower for 4 weeks, and sedentary behaviour significantly higher for one week. The largest changes were seen for "rest" and "outdoor" vacations. The magnitude of changes was smallest for short vacations (< 3 days).

conclusionsVacations are associated with favourable changes in daily movement behaviours. These data provide preliminary evidence of the health benefits of vacations.

trial registrationThe study was prospectively registered on the Australian New Zealand Clinical Trial Registry (Trial ID: ACTRN12619001430123).

Indexed as

HabitsSedentary BehaviorAdultAustraliaCohort StudiesHumansRecreation24-h dayHolidayMovement behavioursPhysical activitySedentary behaviourSleepTime useVacation

Identifiers

PMID36859292
PMCPMC9976678

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LicenceCC BY
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Registered trials

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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.