Evidence map›Paper›PMID 30940176›Full record

SynthesisThe international journal of behavioral nutrition and physical activity2019

Device-measured physical activity, sedentary behaviour and cardiometabolic health and fitness across occupational groups: a systematic review and meta-analysis.

Stephanie A Prince, Cara G Elliott, Kyle Scott, Sarah Visintini, Jennifer L Reed

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The international journal of behavioral nutrition and physical activity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07229963 (Postprandial Cardiometabolic Effects of Interrupting Sedentary Behavior With Exercise of Varying Intensity in Healthy Overweight Adults), which is not on this map. Cited by 101 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 10 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.

NCT07229963 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Postprandial Cardiometabolic Effects of Interrupting Sedentary Behavior With Exercise of Varying Intensity in Healthy Overweight Adults

TypeinterventionalSponsorHacettepe UniversityRan2025 to 2026Enrolled16ConditionsCardiovascular Risk Markers, Substrate Oxidation, Postprandial Metabolism, Exercise PhysiologyArmsAerobic Exercise Intervention, Sprint Exercise Intervention, Sedentary Behaviour Intervention
3 · Its place in the literature

Who cites it

101 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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41 more citing papers are in PubMed but not listed here.

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

5 authors.

Stephanie A PrinceDivision of Cardiac Prevention and Rehabilitation, University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, Ontario, K1Y 4W7, Canada. sprinceware@ottawaheart.ca.ORCID 0000-0001-6729-5649
Cara G ElliottDivision of Cardiac Prevention and Rehabilitation, University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, Ontario, K1Y 4W7, Canada.
Kyle ScottDivision of Cardiac Prevention and Rehabilitation, University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, Ontario, K1Y 4W7, Canada.
Sarah VisintiniBerkman Library, University of Ottawa Heart Institute, Ottawa, Canada.
Jennifer L ReedDivision of Cardiac Prevention and Rehabilitation, University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, Ontario, K1Y 4W7, Canada.

Funding

CIHR
6 · The paper itself

Abstract

backgroundWith approximately 8 hours of one's waking day spent at work, occupational tasks and environments are important influencers on an individual's physical activity (PA) and sedentary behaviours. Little research has compared device-measured physical activity, sedentary behaviour and cardiometabolic outcomes between occupational groups.

objectiveTo compare device-measured movement (sedentary time [ST], light intensity physical activity [LPA], moderate-to-vigorous intensity physical activity [MVPA], and steps) across occupations. The secondary objective was to examine whether cardiometabolic and fitness outcomes differed by occupation.

methodsFive bibliographic databases were searched to identify all studies which included working age, employed adults from high-income countries, and reported on device-measured movement within occupations. Risk of bias within and across studies was assessed. Results were synthesized using meta-analyses and narrative syntheses.

resultsThe review includes 132 unique studies with data from 15,619 participants. Working adults spent ~ 60% of their working and waking time engaged in sedentary behaviour; a very small proportion (~ 4%) of the day included MVPA. On average, workers accumulated 8124 steps/day. Office and call center workers' steps/day were among the lowest, while those of postal delivery workers were highest. Office workers had the greatest ST and the lowest time in LPA both at work and during wakeful time. However, office workers had the greatest minutes sent in MVPA during wakeful hours. Laborers had the lowest ST and spent a significantly greater proportion of their work time in LPA and MVPA. Healthcare and protective services workers had higher levels of LPA at work compared to other occupations. Workers in driving-based occupations tended to have a higher body mass index and blood pressure.

conclusionThis review identifies that occupational and wakeful time PA and ST differed between occupations. Future studies are needed to assess whether patterns differ by age and sex, describe leisure-time movement and movement patterns, and the relationship with cardiometabolic health. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42017070448 .

Indexed as

Fitness TrackersSedentary BehaviorBlood PressureBody Mass IndexExerciseHumansOccupationsMotor activityOccupationSedentary behaviourSystematic reviewWorkplace

Identifiers

PMID30940176
PMCPMC6444868

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.