Evidence map›Paper›PMID 22713740›Full record

ArticleThe international journal of behavioral nutrition and physical activity2012

Temporal trends in non-occupational sedentary behaviours from Australian Time Use Surveys 1992, 1997 and 2006.

Josephine Y Chau, Dafna Merom, Anne Grunseit, Chris Rissel, Adrian E Bauman, Hidde P van der Ploeg

Open access · goldAbstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
14.0field-weighted citation impact, top 1% of its field
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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
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  6. Article
  7. Sedentary Behavior Patterns of the Hungarian Adult Population.International journal of environmental research and public health · 2023
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  12. Trends and correlates of meeting 24-hour movement guidelines: a 15-year study among 167,577 Thai adults.The international journal of behavioral nutrition and physical activity · 2020
    Article
  13. Article
  14. Article
  15. Sedentary behaviour surveillance in Canada: trends, challenges and lessons learned.The international journal of behavioral nutrition and physical activity · 2020
    Article
  16. 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
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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

6 authors at 1 institution in 1 country.

Josephine Y ChauPrevention Research Collaboration, Sydney School of Public Health, University of Sydney, Sydney, Australia. josephine.chau@sydney.edu.au
Dafna Merom
Anne Grunseit
Chris Rissel
Adrian E Bauman
Hidde P van der Ploeg
University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent epidemiological data highlight the potential detrimental associations between sedentary behaviours and health outcomes, yet little is known about temporal trends in adult sedentary time. This study used time use data to examine population trends in sedentary behaviours in non-occupational domains and more specifically during leisure time.

methodsWe conducted secondary analysis of population representative data from the Australian Time Use Surveys 1992, 1997 and 2006 involving respondents aged 20 years and over with completed time use diaries for two days. Weighted samples for each survey year were: n = 5851 (1992), n = 6419 (1997) and n = 5505 (2006). We recoded all primary activities by domain (sleep, occupational, transport, leisure, household, education) and intensity (sedentary, light, moderate). Adjusted multiple linear regressions tested for differences in time spent in non-occupational sedentary behaviours in 1992 and 1997 with 2006 as the reference year.

resultsTotal non-occupational sedentary time was slightly lower in 1997 than in 2006 (mean = 894 min/2d and 906 min/2d, respectively; B = -11.2; 95%CI: -21.5, -0.9). Compared with 2006, less time was spent in 1997 in sedentary transport (B-6.7; 95%CI: -10.4, -3.0) and sedentary education (B = -6.3; 95%CI: -10.5, -2.2) while household and leisure sedentary time remained stable. Time engaged in different types of leisure-time sedentary activities changed between 1997 and 2006: leisure-time computer use increased (B = -26.7; 95%CI: -29.5, -23.8), while other leisure-time sedentary behaviours (e.g., reading, listening to music, hobbies and crafts) showed small concurrent reductions. In 1992, leisure screen time was lower than in 2006: TV-viewing (B = -24.2; 95%CI: -31.2, -17.2), computer use (B = -35.3; 95%CI: -37.7, -32.8). In 2006, 90 % of leisure time was spent sedentary, of which 53 % was screen time.

conclusionsNon-occupational sedentary time has increased slightly from 1997 to 2006 in the Australian adult population. This seems to be the result of small increases in sedentary transport and education time while sedentary household and leisure time were stable over this time period. However, almost all leisure time is spent sedentary and the composition of sedentary leisure time changed between 1992 and 2006 towards a larger proportion being screen-based activities. This could be an important observation for public health, as most of the evidence on the detrimental effects of sedentary behaviour is around watching television and health.

Indexed as

Health BehaviorHealth SurveysLeisure ActivitiesAdultAgedAustraliaComputersEducational StatusFamily CharacteristicsFemaleHumansMaleMiddle AgedSedentary BehaviorTelevisionYoung Adult

Identifiers

PMID22713740
PMCPMC3419123
OpenAlexW2143539994

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.