Evidence map›Paper›PMID 26374514›Full record

ArticleBMC public health2015

Excessive sitting at work and at home: Correlates of occupational sitting and TV viewing time in working adults.

Nyssa T Hadgraft, Brigid M Lynch, Bronwyn K Clark, Genevieve N Healy, Neville Owen, David W Dunstan

Abstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
–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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Social ecological correlates of workplace sedentary behavior.The international journal of behavioral nutrition and physical activity · 2017
    Trial
  6. Trial
  7. Article
  8. Observational
  9. Article
  10. Article
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  12. Article
  13. Movement Behavior and Health Outcomes among Sedentary Adults: A Cross-Sectional Study.International journal of environmental research and public health · 2023
    Article
  14. Article
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  17. Article
  18. Article
  19. Observational
  20. Walking Engagement in Mexican Americans Who Participated in a Community-Wide Step Challenge in El Paso, TX.International journal of environmental research and public health · 2021
    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

6 authors.

Nyssa T HadgraftBaker IDI Heart and Diabetes Institute, Melbourne, Australia. nyssa.hadgraft@bakeridi.edu.au.
Brigid M LynchBaker IDI Heart and Diabetes Institute, Melbourne, Australia. brigid.lynch@cancervic.org.au.
Bronwyn K ClarkSchool of Public Health, The University of Queensland, Brisbane, Australia. b.clark3@uq.edu.au.
Genevieve N HealyBaker IDI Heart and Diabetes Institute, Melbourne, Australia. g.healy@uq.edu.au.
Neville OwenBaker IDI Heart and Diabetes Institute, Melbourne, Australia. neville.owen@bakeridi.edu.au.
David W DunstanBaker IDI Heart and Diabetes Institute, Melbourne, Australia. david.dunstan@bakeridi.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent evidence links sedentary behaviour (or too much sitting) with poorer health outcomes; many adults accumulate the majority of their daily sitting time through occupational sitting and TV viewing. To further the development and targeting of evidence-based strategies there is a need for identification of the factors associated with higher levels of these behaviours. This study examined socio-demographic and health-related correlates of occupational sitting and of combined high levels of occupational sitting/TV viewing time amongst working adults.

methodsParticipants were attendees of the third wave (2011/12) of the Australian Diabetes, Obesity and Lifestyle (AusDiab) study who worked full-time (≥35 h/week; n = 1,235; 38 % women; mean ± SD age 53 ± 7 years). Logistic and multinomial logistic regression analyses were conducted (separately for women and men) to assess cross-sectional associations of self-reported occupational sitting time (categorised as high/low based on the median) and also the combination of occupational sitting time/TV viewing time (high/low for each outcome), with a number of potential socio-demographic and health-related correlates.

resultsHigher levels of occupational sitting (>6 h/day) were associated with higher household income for both genders. Lower levels of occupational sitting were associated with being older (women only); and, for men only, having a blue collar occupation, having a technical/vocational educational attainment, and undertaking more leisure-time physical activity (LTPA). Attributes associated with high levels of both occupational sitting and TV viewing time included white collar occupation (men only), lower levels of LTPA (both genders), higher BMI (men), and higher energy consumption (women).

conclusionsHigher household income (both genders) and professional/managerial occupations (men only) were correlates of high occupational sitting time, relative to low occupational sitting time, while health-related factors (lower LTPA, higher BMI - men, and higher energy consumption - women) were associated with high levels of both occupational sitting and TV viewing time, relative to low occupational sitting and low TV viewing time. These findings suggest possible high-risk groups that may benefit from targeted interventions. Further research is needed on potentially modifiable environmental and social correlates of occupational sitting time, in order to inform workplace initiatives.

Indexed as

EmploymentExerciseLeisure ActivitiesOccupationsPostureSedentary BehaviorTelevisionAustraliaCross-Sectional StudiesEnvironmentFemaleHumansIncomeMaleMiddle AgedMotor Activity

Identifiers

PMID26374514
PMCPMC4571074

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.