Evidence map›Paper›PMID 27595712›Full record

ArticleJournal of diabetes science and technology2017

Characterization of Exercise and Alcohol Self-Management Behaviors of Type 1 Diabetes Patients on Insulin Pump Therapy.

Maria Adela Grando, Danielle Groat, Hiral Soni, Mary Boyle, Marilyn Bailey, Bithika Thompson, Curtiss B Cook

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2017. 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
1.5field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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 at 2 institutions in 1 country.

Maria Adela Grando1 Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ, USA.
Danielle Groat1 Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ, USA.
Hiral Soni1 Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ, USA.
Mary Boyle2 Division of Endocrinology, Mayo Clinic Arizona, Scottsdale, AZ, USA.
Marilyn Bailey2 Division of Endocrinology, Mayo Clinic Arizona, Scottsdale, AZ, USA.
Bithika Thompson2 Division of Endocrinology, Mayo Clinic Arizona, Scottsdale, AZ, USA.
Curtiss B Cook1 Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ, USA.
Mayo Clinic in Arizona · USArizona State University · US

Funding

iDASH: Integrating Data for Analysis, Anonymization, and SharingU54HL108460 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2010 to 2015
$19.1M
Patient-centered decision support based on device evidence (I DECIDE)R21LM011667 · NLM · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI GRANDO, MARIA ADELA · 2014 to 2015
$403k
NHLBI NIH HHS U54 HL108460NLM NIH HHS R21 LM011667
6 · The paper itself

Abstract

backgroundThere is a lack of systematic ways to analyze how diabetes patients use their insulin pumps to self-manage blood glucose to compensate for alcohol ingestion and exercise. The objective was to analyze "real-life" insulin dosing decisions occurring in conjunction with alcohol intake and exercise among patients using insulin pumps.

methodsWe recruited adult type 1 diabetes (T1D) patients on insulin pump therapy. Participants were asked to maintain their daily routines, including those related to exercising and consuming alcohol, and keep a 30-day journal on exercise performed and alcohol consumed. Thirty days of insulin pump data were downloaded. Participants' actual insulin dosing behaviors were compared against their self-reported behaviors in the setting of exercise and alcohol.

resultsNineteen T1D patients were recruited and over 4000 interactions with the insulin pump were analyzed. The analysis exposed variability in how subjects perceived the effects of exercise/alcohol on their blood glucose, inconsistencies between self-reported and observed behaviors, and higher rates of blood glucose control behaviors for exercise versus alcohol.

conclusionCompensation techniques and perceptions on how exercise and alcohol affect their blood glucose levels vary between patients. Improved individualized educational techniques that take into consideration a patient's unique life style are needed to help patients effectively apply alcohol and exercise compensation techniques.

Indexed as

Alcohol DrinkingBlood Glucose Self-MonitoringExerciseHealth BehaviorAdultBlood GlucoseDiabetes Mellitus, Type 1FemaleHealth Knowledge, Attitudes, PracticeHumansHypoglycemic AgentsInsulinInsulin Infusion SystemsMaleMedical RecordsMiddle AgedBlood GlucoseHypoglycemic AgentsInsulinalcoholcarbohydratesdiabetesexerciseinsulin dosinginsulin pumpself-management behaviorstype 1 diabetes

Identifiers

PMID27595712
PMCPMC5478020
OpenAlexW2510396134

What OpenQuestion holds

Textmetadata
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.