Evidence map›Paper›PMID 32508201›Full record

Trial reportJournal of health psychology2021

Attentional bias to diabetes cues mediates disease management improvements in a pilot randomized controlled trial for adolescents with type 1 diabetes.

Rebecca J Crochiere, Amy Hughes Lansing, Ann Carracher, Esha Vaid, Catherine Stanger

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of health psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Rebecca J CrochiereDrexel University, USA.ORCID 0000-0003-2383-158X
Amy Hughes LansingUniversity of Nevada, USA.
Ann CarracherGeisel School of Medicine at Dartmouth, USA.
Esha VaidPennsylvania State University, USA.
Catherine StangerGeisel School of Medicine at Dartmouth, USA.

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Thinking Outside the Clinic: A Digital Health Approach for Young Adults with Type 1 DiabetesR01DK124428 · NIDDK · DARTMOUTH COLLEGE · PI CATHERINE STANGER, CATHERINE STANGER CATHERINE STANGER · 2020 to 2024
$3.1M
Incentives, Cognitive Training, and Internet Therapy for Teens with Poorly Controlled Type 1 DiabetesDP3HD076602 · NICHD · DARTMOUTH COLLEGE · PI CATHERINE STANGER, CATHERINE STANGER CATHERINE STANGER · 2012 to 2015
$2.6M
NICHD NIH HHS DP3 HD076602NIDA NIH HHS P30 DA029926NIDDK NIH HHS R01 DK124428
6 · The paper itself

Abstract

For type 1 diabetes management, the role of attentional bias remains unclear. This secondary analysis examined type 1 diabetes attentional bias and adolescent type 1 diabetes management prior to and during a cognitive and behavioral intervention. Youth with type 1 diabetes and above target glycemic control were assigned to intervention or usual care control. Participants completed baseline and follow-up type 1 diabetes Stroop tasks, HbA1c tests, and blood glucose meter downloads. Intervention was associated with greater reductions in type 1 diabetes attentional bias than control, and these reductions partially mediated the effect of treatment on diabetes management behaviors. Type 1 diabetes attentional bias is a potential target to improve type 1 diabetes management.

Indexed as

Attentional BiasDiabetes Mellitus, Type 1AdolescentCuesDisease ManagementGlycated HemoglobinHumansPilot ProjectsGlycated Hemoglobinadolescenceattentional biasdiabetes managementtype 1 diabetes

Identifiers

PMID32508201
PMCPMC8767794

What OpenQuestion 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 OpenQuestion graph.