Evidence map›Paper›PMID 27117178›Full record

ArticleBMC public health2016

Assessing and understanding sedentary behaviour in office-based working adults: a mixed-method approach.

Clarice N Waters, Er Pei Ling, Anne H Y Chu, Sheryl H X Ng, Audrey Chia, Yee Wei Lim, Falk Müller-Riemenschneider

Abstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

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

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  17. Active workplace design: current gaps and future pathways.British journal of sports medicine · 2024
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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

7 authors.

Clarice N WatersSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, Tahir Foundation Building, Singapore, 117549, Singapore.
Er Pei LingSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, Tahir Foundation Building, Singapore, 117549, Singapore.
Anne H Y ChuSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, Tahir Foundation Building, Singapore, 117549, Singapore.
Sheryl H X NgSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, Tahir Foundation Building, Singapore, 117549, Singapore.
Audrey ChiaNUS Business School, National University of Singapore, 15 Kent Ridge Drive, Mochtar Riady Building, Singapore, 119245, Singapore.
Yee Wei LimSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, Tahir Foundation Building, Singapore, 117549, Singapore. yee_wei_lim@nuhs.edu.sg.
Falk Müller-RiemenschneiderSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, Tahir Foundation Building, Singapore, 117549, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSedentary behaviours (SB) can be characterized by low energy expenditure in a reclining position (e.g., sitting) often associated with work and transport. Prolonged SB is associated with increased risk for chronic conditions, and due to technological advances, the working population is in office settings with high occupational exposure to SB. This study aims to assess SB among office workers, as well as barriers and strategies towards reducing SB in the work setting.

methodsUsing a mixed-methods approach guided by the socio-ecological framework, non-academic office workers from a professional school in a large public university were recruited. Of 180 eligible office workers, 40 enrolled and completed all assessments. Self-reported and objectively measured SB and activity levels were captured. Focus group discussion (FGD) were conducted to further understand perceptions, barriers, and strategies to reducing workplace SB. Environmental factors were systematically evaluated by trained research staff using an adapted version of the Checklist for Health Promotion Environments at Worksites (CHEW). Thematic analysis of FGD was conducted and descriptive analysis of quantitative data was performed.

resultsThe sample was mostly Chinese (n = 33, 80 %) with a total of 24 (60 %) female participants. Most participants worked five days a week for about 9.5(0.5) hrs/day. Accelerometer data show that participants spend the majority of their days in sedentary activities both on workdays (76.9 %) and non-workdays (69.5 %). Self-report data confirm these findings with median sitting time of 420(180) minutes at work. From qualitative analyses, major barriers to reducing SB emerged, including the following themes: workplace social and cultural norms, personal factors, job scope, and physical building/office infrastructure. CHEW results confirm a lack of support from the physical infrastructure and information environment to reducing SB.

conclusionsThere is high SB among office workers in this sample. We identified multiple levels of influence for prolonged occupational SB, with a particular emphasis on workplace norms and infrastructure as important barriers to reducing SB and increasing PA. A larger, representative sample of the Singaporean population is needed to confirm our findings but it seems that any intervention aimed at reducing SB in the workplace should target individual, environmental, and organizational levels.

Indexed as

Environment DesignExerciseOccupational ExposureOccupationsSedentary BehaviorSocial EnvironmentWorkplaceAdultBehavior TherapyEnergy MetabolismFemaleFocus GroupsHealth PromotionHumansMaleMiddle AgedAdultOccupational HealthSedentary lifestyleWorkplace

Identifiers

PMID27117178
PMCPMC4847225

What OpenQuestion holds

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LicenceCC BY
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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.