Evidence map›Paper›PMID 22582333›Full record

ReviewPsychosomatic medicine2012

Continuous glucose monitoring: a review for behavioral researchers.

Julie Wagner, Howard Tennen, Howard Wolpert

Open access · greenAbstract readReview
In one paragraph

Review in Psychosomatic medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

26 citing papers in PubMed, 54 citations in OpenAlex.

  1. Trial
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  5. Article
  6. The sleep health composite and chronotype among children and adolescents with type 1 diabetes compared to case-control peers without diabetes.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Observational
  7. Article
  8. Leveraging continuous glucose monitoring as a catalyst for behaviour change: a scoping review.The international journal of behavioral nutrition and physical activity · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Device integration of electrochemical biosensors.Nature reviews bioengineering · 2023
    Review
  14. Article
  15. Article
  16. Observational
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  19. Article
  20. Sleep-wake characteristics, daytime sleepiness, and glycemia in young adults with type 1 diabetes.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Julie WagnerBehavioral Sciences and Community Health, University of Connecticut Health Center, Farmington, CT 06405, USA. juwagner@uchc.edu
Howard Tennen
Howard Wolpert
UConn Health · US

Funding

Behavioral and Physiological Responses to Race-Related Stress in Diabetic WomenR21DK074468 · NIDDK · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI WAGNER, JULIE A · 2007 to 2008
$403k
NIDDK NIH HHS R21 DK074468
6 · The paper itself

Abstract

objectiveContinuous glucose monitoring (CGM) systems collect and store glucose data in an ongoing fashion for several days at a time. The main advantage of CGM is that it can help identify fluctuations and trends that would otherwise go unnoticed with other glucose measures. Here, we provide a review of CGM for behavioral researchers.

methodsWe begin with a brief review of diabetes and glucose measurement and then describe what CGM is and reference the commercial CGM systems currently available. We discuss the challenges involved in using CGM in behavioral research. We then present a broad overview of CGM in behavioral research, including data from ours and others' research programs. Finally, we cover some practical issues to be considered when using CGM, suggest reporting guidelines for the behavioral researcher, and offer suggestions for future research.

resultsOnly a handful of behavioral researchers are using CGM, although its use is increasing. The main ways that CGM is being used in behavioral research is to investigate basic biobehavioral processes, to assess the effects of behavioral interventions on diabetes control, and to use CGM itself as a behavior modification and teaching tool in diabetes self-management interventions.

conclusionsContinuous glucose monitoring holds promise to help behavioral researchers unravel the complex relationships among glucose and intrapersonal, interpersonal, and contextual factors. However, the uptake of CGM for this purpose is limited, and the possibilities for its use are largely unmet. We encourage behavioral researchers to implement CGM in their protocols and to do so in a way that maximizes its explanatory power.

Indexed as

Behavioral ResearchBlood GlucoseBlood Glucose Self-MonitoringDiabetes MellitusHumansMedical RecordsMonitoring, AmbulatoryOutcome Assessment, Health CareSelf CareStress, PsychologicalBlood Glucose

Identifiers

PMID22582333
PMCPMC3354527
OpenAlexW2083451793

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.