Evidence map›Paper›PMID 26937959›Full record

ArticlePloS one2016

Objectively Measured Total and Occupational Sedentary Time in Three Work Settings.

Paula van Dommelen, Jennifer K Coffeng, Hidde P van der Ploeg, Allard J van der Beek, Cécile R L Boot, Ingrid J M Hendriksen

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In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 6 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

27 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  4. Workplace pedometer interventions for increasing physical activity.The Cochrane database of systematic reviews · 2020
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  18. Age-period-cohort Analysis of Healthy Lifestyle Behaviors Using the National Health and Nutrition Survey in Japan.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2020
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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.

Paula van DommelenDepartment of Life Style, Netherlands Organisation for Applied Scientific Research TNO, Leiden, The Netherlands.
Jennifer K CoffengDepartment of Public and Occupational Health, EMGO+ Institute for Health and Care Research, VU University Medical Center (VUmc), Amsterdam, The Netherlands.
Hidde P van der PloegDepartment of Public and Occupational Health, EMGO+ Institute for Health and Care Research, VU University Medical Center (VUmc), Amsterdam, The Netherlands.
Allard J van der BeekDepartment of Public and Occupational Health, EMGO+ Institute for Health and Care Research, VU University Medical Center (VUmc), Amsterdam, The Netherlands.
Cécile R L BootDepartment of Public and Occupational Health, EMGO+ Institute for Health and Care Research, VU University Medical Center (VUmc), Amsterdam, The Netherlands.
Ingrid J M HendriksenDepartment of Life Style, Netherlands Organisation for Applied Scientific Research TNO, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSedentary behaviour increases the risk for morbidity. Our primary aim is to determine the proportion and factors associated with objectively measured total and occupational sedentary time in three work settings. Secondary aim is to study the proportion of physical activity and prolonged sedentary bouts.

methodsData were obtained using ActiGraph accelerometers from employees of: 1) a financial service provider (n = 49 men, 31 women), 2) two research institutes (n = 30 men, 57 women), and 3) a construction company (n = 38 men). Total (over the whole day) and occupational sedentary time, physical activity and prolonged sedentary bouts (lasting ≥30 minutes) were calculated by work setting. Linear regression analyses were performed to examine general, health and work-related factors associated with sedentary time.

resultsThe employees of the financial service provider and the research institutes spent 76-80% of their occupational time in sedentary behaviour, 18-20% in light intensity physical activity and 3-5% in moderate-to-vigorous intensity physical activity. Occupational time in prolonged sedentary bouts was 27-30%. Total time was less sedentary (64-70%), and had more light intensity physical activity (26-33%). The employees of the construction company spent 44% of their occupational time in sedentary behaviour, 49% in light, and 7% in moderate intensity physical activity, and spent 7% in sedentary bouts. Total time spent in sedentary behavior was 56%, 40% in light, and 4% in moderate intensity physical behaviour, and 12% in sedentary bouts. For women, low to intermediate education was the only factor that was negatively associated with occupational sedentary time.

conclusionsSedentary behaviour is high among white-collar employees, especially in highly educated women. A relatively small proportion of sedentary time was accrued in sedentary bouts. It is recommended that worksite health promotion efforts should focus on reducing sedentary behaviour through improving light intensity physical activity.

Indexed as

Academies and InstitutesConstruction IndustrySedentary BehaviorAdultCross-Sectional StudiesFemaleHealth PromotionHumansMaleMiddle AgedWorkplace

Identifiers

PMID26937959
PMCPMC4777435

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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.