Evidence map›Paper›PMID 30296174›Full record

ArticleHuman factors2019

Sit-Stand Desk Software Can Now Monitor and Prompt Office Workers to Change Health Behaviors.

Pankaj Parag Sharma, Ranjana K Mehta, Adam Pickens, Gang Han, Mark Benden

Abstract read
In one paragraph

Article in Human factors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Trial
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  8. Smart Software Can Increase Sit-Stand Desk Transitions During Active Computer Use.International journal of environmental research and public health · 2019
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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

5 authors.

Pankaj Parag SharmaTexas A&M University, College Station, USA.ORCID 0000-0003-4528-8610
Ranjana K MehtaTexas A&M University, College Station, USA.
Adam PickensTexas A&M University, College Station, USA.
Gang HanTexas A&M University, College Station, USA.
Mark BendenTexas A&M University, College Station, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the effectiveness of a computer-based intervention designed to increase sit-stand desk usage and help reverse workplace physical inactivity.

backgroundSit-stand desks have been successful in reducing workplace sedentary behavior, but the challenge remains for an effective method to increase the usage in order to experience the health and productivity benefits.

methodData collection (1-year field study with 194 workers) used a novel method of computer software that continuously recorded objective electric sit-stand desk usage, while taking into account the time a worker spends away from their desk (breaks, meetings). During the baseline period, all workers' desk usage was recorded by the software, and the intervention period consisted of software reminders and real-time feedback to all workers to change desk positions. Pooled means were calculated to determine desk usage patterns, and effect sizes and pairwise mean differences were analyzed to test for intervention significance.

resultsThe intervention doubled desk usage by increasing ~1 change to ~2 changes per work day. There was a 76% reduction in workers who never used the sit-stand function of the desk. Medium to large effect sizes from the intervention were observed in all three primary outcome measures (desk in sitting/standing position and desk position changes per work day).

conclusionThese findings demonstrate an effective intervention that increased postural transitioning and interrupted prolonged inactivity while remaining at the workstation. APPLICATION: The methods and results in this research study show that we can quantify an increase in desk usage and collect aggregate data continuously.

Indexed as

Interior Design and FurnishingsOccupational HealthReminder SystemsSedentary BehaviorSoftwareStanding PositionAustraliaErgonomicsHealth BehaviorHumanssoftwarework measurementworkplace ergonomicsworkstation

Identifiers

PMID30296174
PMCPMC6637722

What OpenQuestion holds

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LicenceCC BY-NC
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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.