Evidence map›Paper›PMID 38311064›Full record

ArticleThe Journal of nutrition2024

Properties of the Household Food Security Survey Module Scale in Young Adults with Diabetes.

Angela D Liese, Andrea D Brown, Edward A Frongillo, Emmanuel F Julceus, Katherine A Sauder, Beth A Reboussin, Anna Bellatorre, Lawrence M Dolan, Kristi Reynolds, Catherine Pihoker and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Observational
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

11 authors at 7 institutions in 1 country.

Angela D LieseDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States. Electronic address: liese@sc.edu.
Andrea D BrownDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
Edward A FrongilloDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
Emmanuel F JulceusDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
Katherine A SauderDepartment of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
Beth A ReboussinDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
Anna BellatorreLifecourse Epidemiology of Adiposity and Diabetes (LEAD Center), Colorado School of Public Health, Aurora, CO, United States.
Lawrence M DolanDepartment of Pediatrics, Cincinnati Children's Hospital, University of Cincinnati College of Medicine, Cincinnati, OH, United States.
Kristi ReynoldsDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States.
Catherine PihokerDivision of Endocrinology and Diabetes, Department of Pediatrics, University of Washington, and Seattle Children's Research Institute, Seattle, WA, United States.
Jason A MendozaFred Hutchinson Cancer Center, University of Washington, and Seattle Children's Research Institute, Seattle, WA, United States.
University of South Carolina · USWake Forest University · USCincinnati Children's Hospital Medical Center · USColorado School of Public Health · USFred Hutch Cancer Center · USKaiser Permanente · USSeattle Children's Hospital · US

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
NIDDK NIH HHS R01 DK117461NIDDK NIH HHS R01 DK127208NIDDK NIH HHS UC4 DK108173NIGMS NIH HHS T32 GM081740
6 · The paper itself

Abstract

backgroundThe Household Food Security Survey Module (HFSSM) was not tailored to people with chronic diseases or young adults (YAs).

objectivesWe aim to evaluate whether the 18-item HFSSM meets assumptions underlying the scale among YAs with diabetes.

methodsData from 1887 YAs with youth-onset type 1 diabetes or type 2 diabetes were used from the SEARCH for Diabetes in Youth Study, 2016-2019, and on 925 who returned for the SEARCH Food Security Cohort Study, 2018-2021, all of whom had completed the HFSSM. Guttman scaling properties (affirmation of preceding less severe items) and Rasch model properties (probability to answer an item based on difficulty level) were assessed.

resultsItems 3 (balanced meals) and 6 (eating less than one should) were affirmed more frequently than expected (nonmonotonic response pattern). At 1.2%-3.5%, item nonresponse was rare among type 1 diabetes but higher among type 2 diabetes (range: 3.1%-10.6%). Items 9 (not eating the whole day) and 3 did not meet the Guttman scaling properties. Rasch modeling revealed that item 3 had the smallest difficulty parameter. INFIT indices suggested that some responses to item 3 did not match the pattern in the rest of the sample. Classifying household food insecurity (HFI) based on items 1 and 2 compared with other 2-item combinations, including item 3, revealed a substantial undercount of HFI ranging from 5% to 8% points.

conclusionsUse of the HFSSM among YAs with diabetes could potentially result in biased HFI reporting and affect estimates of HFI prevalence in this population.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2AdolescentCohort StudiesFood SecurityFood SupplyHumansYoung Adultdiabetes mellitushousehold food securityscale propertiesscreeningyoung adults

Identifiers

PMID38311064
PMCPMC10942855
OpenAlexW4391484881

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.