Evidence map›Paper›PMID 38765732›Full record

ArticlePediatric diabetes2023

Household Food Insecurity and Cognition in Youth and Young Adults with Youth-Onset Diabetes.

Andrea D Brown, Angela D Liese, Allison L B Shapiro, Edward A Frongillo, Greta Wilkening, Julius Fridriksson, Anwar T Merchant, Leora Henkin, Elizabeth T Jensen, Beth A Reboussin and 6 more

Abstract read
In one paragraph

Article in Pediatric diabetes, 2023. 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
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.

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

16 authors.

Andrea D BrownDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC, USA 29208.
Angela D LieseDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC, USA 29208.
Allison L B ShapiroDepartment of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, 13123 E 16th Ave, Aurora, CO, USA 80045.
Edward A FrongilloDepartment of Health Promotion, Education, and Behavior, University of South Carolina, 915 Greene Street Columbia, SC, USA 29208.
Greta WilkeningDepartment of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, 13123 E 16th Ave, Aurora, CO, USA 80045.
Julius FridrikssonDepartment of Communication Sciences & Disorders, University of South Carolina, 1705 College Street Columbia, SC, USA 29208.
Anwar T MerchantDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC, USA 29208.
Leora HenkinDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, 475 Vine Street, Winston-Salem, NC, USA 27101.
Elizabeth T JensenDepartment of Epidemiology and Prevention, Wake Forest School of Medicine, 475 Vine Street, Winston-Salem, NC USA 27101.
Beth A ReboussinDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, 475 Vine Street, Winston-Salem, NC, USA 27101.
Amy S ShahDepartment of Pediatrics, Division of Endocrinology, Cincinnati Children's Hospital Medical Center and The University of Cincinnati, 3333 Burnet Avenue, MLC 4002 Cincinnati, OH, USA 45229.
Santica MarcovinaMedpace Reference Laboratories, 5365 Medpace Way, Cincinnati, OH, USA 45227.
Lawrence M DolanDepartment of Pediatrics, Division of Endocrinology, Cincinnati Children's Hospital Medical Center and The University of Cincinnati, 3333 Burnet Avenue, MLC 4002 Cincinnati, OH, USA 45229.
Dana DabeleaDepartment of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, 13123 E 16th Ave, Aurora, CO, USA 80045.
Catherine PihokerDepartment of Pediatrics, University of Washington, Box 356320, Seattle WA, USA 98115-8160.
Jason A MendozaDepartment of Pediatrics, University of Washington, Box 356320, Seattle WA, USA 98115-8160.

Funding

Limited Competition for the Continuation of the SEARCH for Diabetes in Youth Cohort Study (UC4)SEARCH for Diabetes in Youth Cohort StudyUC4DK108173 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DAGOSTINO, RALPH B. · 2015 to 2016
$14.8M
Impact of Disparities in Food Security on Glycemic Control and Health CareUtilization Among Youth and Young Adults with DiabetesR01DK117461 · NIDDK · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI ANGELA D LIESE, Jason A Mendoza · 2018 to 2026
$6.1M
Biomedical-Behavioral Interface: Prevention and Developmental Sciences TrainingT32GM081740 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI PRINZ, RONALD J · 2008 to 2022
$4.5M
Limited Competition for the Closeout of the SEARCH for Diabetes in Youth Cohort StudyR01DK127208 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DAGOSTINO, RALPH B., JENSEN, ELIZABETH T · 2020 to 2020
$2.0M
The neural underpinnings of disinhibited eating behavior in adolescents with and without obesityK01DK120562 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI SHAPIRO, ALLISON LIVIA BUTI · 2020 to 2024
$707k
NIDDK NIH HHS K01 DK120562NIDDK NIH HHS R01 DK117461NIDDK NIH HHS R01 DK127208NIDDK NIH HHS UC4 DK108173NIGMS NIH HHS T32 GM081740
6 · The paper itself

Abstract

Objective: We evaluated the association of household food insecurity (FI) with cognition in youth and young adults with type 1 diabetes (T1D) or type 2 diabetes (T2D). Design: In this cross-sectional study, age-adjusted scores for composite Fluid Cognition, and sub-domain scores for Receptive Language and Inhibitory Control and Attention, were modeled stratified by diabetes-type using linear regression, with FI in the past year as the predictor, controlling for covariates. Tests for processing speed, inhibitory control/attention, working memory, episodic memory, and cognitive flexibility were administered to measure composite Fluid Cognition score. The NIHT-CB Picture Vocabulary Test was used to assess Crystallized Cognition score and rapid identification of congruent versus noncongruent items were used to assess Inhibitory Control and Attention score. Setting: The SEARCH for Diabetes in Youth study, representative of 5 U.S. states. Participants: Included 1574 youth and young adults with T1D or T2D, mean age of 21 years, mean diabetes duration of 11 years, 51% non-Hispanic white, and 47% had higher HbA1c levels (>9% HbA1c). Results: Approximately 18% of the 1,240 participants with T1D and 31% of the 334 with T2D experienced FI. The food-insecure group with T1D had a lower composite Fluid Cognition score (β= -2.5, 95% confidence interval (CI)= -4.8, -0.1) and a lower Crystallized Cognition score (β= -3.4, CI= -5.6, -1.3) than food-secure peers. Findings were attenuated to non-significance after adjustment for demographics. Among T2D participants, no associations were observed. In participants with T1D effect modification by glycemic levels were found in the association between FI and composite Fluid Cognition score but adjustment for socioeconomic characteristics attenuated the interaction (p=0.0531). Conclusions: Food-insecure youth and young adults with T1D or T2D did not have different cognition compared to those who were food-secure after adjustment for confounders. Longitudinal research is needed to further understand relations amongst these factors.

Indexed as

CognitionDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Food InsecurityAdolescentAdultChildCross-Sectional StudiesFamily CharacteristicsFemaleHumansMaleYoung AdultCognitionCrystallized CognitionDiabetesFluid CognitionFood Insecurity

Identifiers

PMID38765732
PMCPMC11100256

What OpenQuestion holds

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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.