Evidence map›Paper›PMID 29649243›Full record

ArticlePloS one2018

Recent trends in population levels and correlates of occupational and leisure sitting time in full-time employed Australian adults.

Anne Loyen, Tien Chey, Lina Engelen, Adrian Bauman, Jeroen Lakerveld, Hidde P van der Ploeg, Johannes Brug, Josephine Y Chau

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Sedentary behavior does not predict low BMD nor fracture-population-based Canadian Multicentre Osteoporosis Study.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024
    Article
  3. Sedentary time at school and work in Canada.Canadian journal of public health = Revue canadienne de sante publique · 2024
    Article
  4. Article
  5. Temporal Trends and Recent Correlates in Sedentary Behaviors among Chinese Adults from 2002 to 2010-2012.International journal of environmental research and public health · 2019
    Article
  6. Article
  7. Article
  8. 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.

Anne LoyenDepartment of Public and Occupational Health, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, the Netherlands.ORCID 0000-0002-4045-6710
Tien CheyPrevention Research Collaboration, Sydney School of Public Health and Charles Perkins Centre, the University of Sydney, Sydney, Australia.
Lina EngelenPrevention Research Collaboration, Sydney School of Public Health and Charles Perkins Centre, the University of Sydney, Sydney, Australia.
Adrian BaumanPrevention Research Collaboration, Sydney School of Public Health and Charles Perkins Centre, the University of Sydney, Sydney, Australia.
Jeroen LakerveldDepartment of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, the Netherlands.
Hidde P van der PloegDepartment of Public and Occupational Health, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, the Netherlands.
Johannes BrugDepartment of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, the Netherlands.
Josephine Y ChauPrevention Research Collaboration, Sydney School of Public Health and Charles Perkins Centre, the University of Sydney, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to explore the trend in population levels, as well as the correlates, of occupational and leisure sitting time in full-time employed Australian adults between 2007 and 2015. We used data from the 2007/08, 2011/12 and 2014/15 Australian Health Surveys, in which nationally representative samples of the Australian population were interviewed. Full-time (≥35 hours/week) employed respondents reported sitting time at work and during leisure on a usual workday. Trends over time and associations between socio-demographic and health-related characteristics and sitting time were analysed in the combined dataset using multivariable logistic regression models. Over 21,000 observations were included in the analyses. Across the three surveys, approximately 51% of the respondents reported ≥4 hours/workday occupational sitting time, 40% reported ≥4 hours/workday leisure sitting time, and 55% reported ≥7 hours/workday combined occupational and leisure sitting time. There were no clear trends over time. All potential correlates were associated with occupational sitting time and all but educational level were associated with leisure sitting time. The directions of the associations with gender, age and leisure-time physical activity were reversed for occupational sitting time and leisure sitting time. These findings show that the average levels of occupational and leisure sitting time on workdays were high but stable over the past decade. The observed differences in correlates of occupational and leisure sitting time demonstrate the need to assess and address sedentary behaviour domains separately in research and policy.

Indexed as

Health SurveysPostureSedentary BehaviorAdolescentAdultAustraliaFemaleHumansMaleMiddle AgedOccupational ExposureOccupationsParentsRegression AnalysisRural PopulationSocial Class

Identifiers

PMID29649243
PMCPMC5896918

What OpenQuestion holds

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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.