Evidence map›Paper›PMID 29035315›Full record

ArticleInternational journal of environmental research and public health2017

Breaking Up Sitting with Light-Intensity Physical Activity: Implications for Shift-Workers.

Grace E Vincent, Sarah M Jay, Corneel Vandelanotte, Sally A Ferguson

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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

4 authors.

Grace E VincentSchool for Health, Medical and Applied Sciences, Central Queensland University, Wayville 5034, Australia. g.vincent@cqu.edu.au.
Sarah M JaySchool for Health, Medical and Applied Sciences, Central Queensland University, Wayville 5034, Australia. s.jay@cqu.edu.au.
Corneel VandelanotteSchool for Health, Medical and Applied Sciences, Central Queensland University, Wayville 5034, Australia. c.vandelanotte@cqu.edu.au.
Sally A FergusonSchool for Health, Medical and Applied Sciences, Central Queensland University, Wayville 5034, Australia. sally.ferguson@cqu.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prolonged sitting, restricted sleep, and circadian disruption are all independent risk factors for non-communicable diseases. Previous research has demonstrated that breaking up sitting with light-intensity physical activity has clear benefits for the health of day workers, but these findings may not apply in the presence of sleep restriction and/or circadian disruption-both of which are commonly experienced by shift-workers. Specifically, sleep restriction, and circadian disruption result in acute physiological changes that may offset the benefits of breaking up sitting. This commentary will explore the potential benefits of breaking up sitting for health, work performance, and subsequent sleep in shift-workers. Future areas of research designed to understand the mechanisms by which prolonged sitting and shift work impact worker health and safety and to support the design of effective occupational health and safety interventions are proposed.

Indexed as

ExerciseOccupational HealthPostureShift Work ScheduleHumansRisk FactorsSleepnight-shiftnon-communicable diseasesedentary behaviourshift-worksitting breaks

Identifiers

PMID29035315
PMCPMC5664734

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.