Evidence map›Paper›PMID 35668746›Full record

ArticleTranslational journal of the American College of Sports Medicine2021

Acute Effect of Height-Adjustable Workstations on Blood Glucose Levels in Women With Impaired Fasting Glucose Levels While Working: A Pilot Study.

Amanda R Bonikowske, Katie C Carpenter, Steven D Stovitz, Dipankar Bandyopadhyay, Mark A Pereira, Beth A Lewis

Open access · greenAbstract read
In one paragraph

Article in Translational journal of the American College of Sports Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 79% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 1 country.

Amanda R BonikowskeDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
Katie C CarpenterIsagenix Worldwide Inc, Gilbert, Arizona.
Steven D StovitzDepartment of Family Medicine and Community Health, University of Minnesota, Minneapolis, Minnesota.
Dipankar BandyopadhyayDepartment of Biostatistics, Virginia Commonwealth University, Richmond, Virginia.
Mark A PereiraDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota.
Beth A LewisSchool of Kinesiology, University of Minnesota, Minneapolis, Minnesota.
University of Minnesota · USMayo Clinic in Arizona · USVirginia Commonwealth University · US

Funding

Stand and Move at Work: A Group-Randomized TrialR01CA198971 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI BUMAN, MATTHEW P, PEREIRA, MARK A · 2015 to 2018
$2.6M
NCI NIH HHS R01 CA198971
6 · The paper itself

Abstract

Objective: To examine the effect on continuously monitored blood glucose (CGM) among participants with impaired fasting glucose (IFG) who used a height-adjustable desk while working. Methods: The study was a repeated measures pilot study in overweight or obese women who had IFG (blood glucose [BG] >100 mg/dL) and a sedentary job. Blood glucose was monitored with CGM devices during two 1-week periods at work; 1 week in the seated position and 1 week using alternate bouts of sitting and standing (by adjusting their desks) throughout the workday. Results: Ten women completed the study. Sedentary time significantly predicted BG independently of diet and overall physical activity ( Conclusions: Sedentary time is a strong predictor of increased BG in women with IFG and a sedentary job.

Indexed as

blood glucoseobesityoverweightsedentarysittingstandingwork

Identifiers

PMID35668746
PMCPMC9165470
OpenAlexW3196806249

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

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.