Evidence map›Paper›PMID 26660554›Full record

ArticlePhysiological reports2015

Routine daily physical activity and glucose variations are strongly coupled in adults with T1DM.

Sarah S Farabi, David W Carley, Ali Cinar, Lauretta Quinn

Open access · goldAbstract read
In one paragraph

Article in Physiological reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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 at 2 institutions in 1 country.

Sarah S FarabiCenter for Narcolepsy, Sleep and Health Research, University of Illinois at Chicago, Chicago, Illinois Department of Biobehavioral Health Science, University of Illinois at Chicago, Chicago, Illinois schwarzsar@gmail.com.
David W CarleyCenter for Narcolepsy, Sleep and Health Research, University of Illinois at Chicago, Chicago, Illinois Department of Biobehavioral Health Science, University of Illinois at Chicago, Chicago, Illinois Department of Medicine, University of Illinois at Chicago, Chicago, Illinois Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois.
Ali CinarIlinois Institute of Technology, Chicago, Illinois.
Lauretta QuinnDepartment of Biobehavioral Health Science, University of Illinois at Chicago, Chicago, Illinois.
University of Illinois Chicago · USIllinois Institute of Technology · US

Funding

Control Systems for Artificial Pancreas Use During and After ExerciseDP3DK101075 · NIDDK · ILLINOIS INSTITUTE OF TECHNOLOGY · PI CINAR, ALI · 2013 to 2013
$2.5M
NIDDK NIH HHS DP3 DK101075
6 · The paper itself

Abstract

Type 1 Diabetes (T1DM) is characterized by altered glucose homeostasis resulting in wide glucose variations throughout a 24-h period. The relationship between routine daily physical activity and glucose variations has not been systematically investigated in adults with T1DM. The objectives of this study were to characterize and quantify the relationship between routine daily activity and glucose variations in a small group of adults with T1DM. Adults with T1DM treated with an insulin pump were recruited for the study. Over a 3-day period, glucose variations were monitored with a continuous glucose monitoring system (CGMS) and routine daily physical activity was assessed using an accelerometer-based physical activity-monitoring band. Simultaneous glucose and physical activity data for one 24-h period were used for analysis. Cross-correlation function and wavelet coherence analyses were employed to quantify the coupling between physical activity and glucose. Twelve subjects were included in the analysis. Cross-correlation function analysis revealed strong coupling between activity and glucose. Wavelet Coherence demonstrated that slower oscillations (120-340 min) of glucose and physical activity exhibited significantly greater coherence (F = 12.6, P < 0.0001) than faster oscillations (10 and 120 min). Physical activity and glucose demonstrate strong time and frequency-dependent coupling throughout a 24-h time period in adults with T1DM.

Indexed as

Continuous glucose monitoringdaily activityglucose variationstype 1 diabetes

Identifiers

PMID26660554
PMCPMC4760432
OpenAlexW2213940405

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.