Evidence map›Paper›PMID 28468687›Full record

ArticleBMC public health2017

What are the working mechanisms of a web-based workplace sitting intervention targeting psychosocial factors and action planning?

Katrien De Cocker, Ilse De Bourdeaudhuij, Greet Cardon, Corneel Vandelanotte

Registry-linked trialAbstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02672215 (The Effectiveness of a Web-based Computer-tailored Intervention on Workplace Sitting), which is not on this map. Cited by 18 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 5 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.

NCT02672215 nacompletednot on this map

The Effectiveness of a Web-based Computer-tailored Intervention on Workplace Sitting: a Randomized Controlled Trial

TypeinterventionalSponsorUniversity GhentRan2014 to 2017Enrolled1,061ConditionsSedentary LifestyleArmsStart to stand, generic advice
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. [On the Effectiveness of Digital Workplace Health Promotion in Times of Home Office: A Systematic Review].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2024
    Pooled it
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  3. Workplace interventions for reducing sitting at work.The Cochrane database of systematic reviews · 2018
    Pooled it
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  5. Workplace interventions for reducing sitting at work.The Cochrane database of systematic reviews · 2018
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  12. A Social Cognitive Assessment of Workplace Sedentary Behavior among a Sample of University Employees.International journal of environmental research and public health · 2023
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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

4 authors.

Katrien De CockerDepartment of Movement and Sports Sciences, Ghent University, Watersportlaan 2, B-9000, Ghent, Belgium.
Ilse De BourdeaudhuijDepartment of Movement and Sports Sciences, Ghent University, Watersportlaan 2, B-9000, Ghent, Belgium.
Greet CardonDepartment of Movement and Sports Sciences, Ghent University, Watersportlaan 2, B-9000, Ghent, Belgium.
Corneel VandelanottePhysical Activity Research Group, School for Health, Medical and Applied Sciences, Central Queensland University, Bruce Highway, North Rockhampton, QLD, 4702, Australia. C.vandelanotte@cqu.edu.au.ORCID 0000-0002-4445-8094

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOffice workers demonstrate high levels of sitting on workdays. As sitting is positively associated with adverse health risks in adults, a theory-driven web-based computer-tailored intervention to influence workplace sitting, named 'Start to Stand,' was developed. The intervention was found to be effective in reducing self-reported workplace sitting among Flemish employees. The aim of this study was to investigate through which mechanisms the web-based computer-tailored intervention influenced self-reported workplace sitting.

methodsEmployees (n = 155) participated in a clustered randomised controlled trial and reported socio-demographics (age, gender, education), work-related (hours at work, employment duration), health-related (weight and height, workplace sitting and physical activity) and psychosocial (knowledge, attitudes, self-efficacy, social support, intention regarding (changing) sitting behaviours) variables at baseline and 1-month follow-up. The product-of-coefficients test of MacKinnon based on multiple linear regression analyses was conducted to examine the mediating role of five psychosocial factors (knowledge, attitudes, self-efficacy, social support, intention). The influence of one self-regulation skill (action planning) in the association between the intervention and self-reported workplace sitting time was investigated via moderation analyses.

resultsThe intervention had a positive influence on knowledge (p = 0.040), but none of the psychosocial variables did mediate the intervention effect on self-reported workplace sitting. Action planning was found to be a significant moderator (p < 0.001) as the decrease in self-reported workplace sitting only occurred in the group completing an action plan.

conclusionsFuture interventions aimed at reducing employees' workplace sitting are suggested to focus on self-regulatory skills and promote action planning when using web-based computer-tailored advice.

trial registrationClinicaltrials.gov NCT02672215 ; (Archived by WebCite at https://clinicaltrials.gov/ct2/show/NCT02672215 ).

Indexed as

ExercisePostureSedentary BehaviorAdultAge FactorsBody Weights and MeasuresComputersFemaleHealth Knowledge, Attitudes, PracticeHealth PromotionHumansInternetMaleMiddle AgedOccupational HealthSelf EfficacyComputer-tailoringE-healthEmployeesMediation analysesSedentary behaviour

Identifiers

PMID28468687
PMCPMC5415713

What OpenQuestion holds

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LicenceCC BY
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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.