Evidence map›Paper›PMID 38861258›Full record

ArticleJAMA network open2024

Prediabetes Prevalence by Adverse Social Determinants of Health in Adolescents.

Caleb Harrison, Vaishnavi Peyyety, Adriana Rodriguez Gonzalez, Rutha Chivate, Xu Qin, Margaret F Zupa, Maya I Ragavan, Mary Ellen Vajravelu

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Biological and Social Risk Factors for Predicting Type 2 Diabetes in Youth with Prediabetes: Review of Existing Prediction Models.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
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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

8 authors.

Caleb HarrisonCenter for Pediatric Research in Obesity and Metabolism, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
Vaishnavi PeyyetyWashington & Jefferson College, Washington, Pennsylvania.
Adriana Rodriguez GonzalezCenter for Pediatric Research in Obesity and Metabolism, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
Rutha ChivateUniversity of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Xu QinDepartment of Health and Human Development at the School of Education, University of Pittsburgh, Pittsburgh, Pennsylvania.
Margaret F ZupaDivision of Endocrinology and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Maya I RagavanDivision of General Academic Pediatrics, University of Pittsburgh Medical Center Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
Mary Ellen VajraveluCenter for Pediatric Research in Obesity and Metabolism, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.

Funding

Institutional Career Development CoreKL2TR001856 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RAY, KRISTIN N, RUBIO, DORIS M · 2016 to 2025
$13.8M
Training in Renal, GI, Endocrine, and Epithelial BiologyT35DK065521 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DEFRANCO, DONALD B, JURCZAK, MICHAEL J. · 2004 to 2024
$811k
Behavioral Economics for Activity Motivation in Adolescents and Young Adults with Prediabetes and Type 2 DiabetesK23DK125719 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VAJRAVELU, MARY ELLEN · 2020 to 2023
$789k
Developing an Adolescent Relationship Abuse Prevention Intervention for Hispanic Immigrant FamiliesK23HD104925 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RAGAVAN, MAYA · 2022 to 2024
$570k
NCATS NIH HHS KL2 TR001856NICHD NIH HHS K23 HD104925NIDDK NIH HHS K23 DK125719NIDDK NIH HHS T35 DK065521
6 · The paper itself

Abstract

Importance: Several clinical practice guidelines advise race- and ethnicity-based screening for youth-onset type 2 diabetes (T2D) due to a higher prevalence among American Indian and Alaska Native, Asian, Black, and Hispanic youths compared with White youths. However, rather than a biological risk, this disparity likely reflects the inequitable distribution of adverse social determinants of health (SDOH), a product of interpersonal and structural racism. Objective: To evaluate prediabetes prevalence by presence or absence of adverse SDOH in adolescents eligible for T2D screening based on weight status. Design, Setting, and Participants: This cross-sectional study and analysis used data from the 2011 to 2018 cycles of the National Health and Nutrition Examination Survey. Data were analyzed from June 1, 2023, to April 5, 2024. Participants included youths aged 12 to 18 years with body mass index (BMI) at or above the 85th percentile without known diabetes. Main Outcomes and Measures: The main outcome consisted of an elevated hemoglobin A1c (HbA1c) level greater than or equal to 5.7% (prediabetes or undiagnosed presumed T2D). Independent variables included race, ethnicity, and adverse SDOH (food insecurity, nonprivate health insurance, and household income <130% of federal poverty level). Survey-weighted logistic regression was used to adjust for confounders of age, sex, and BMI z score and to determine adjusted marginal prediabetes prevalence by race, ethnicity, and adverse SDOH. Results: The sample included 1563 individuals representing 10 178 400 US youths aged 12 to 18 years (mean age, 15.5 [95% CI, 15.3-15.6] years; 50.5% [95% CI, 47.1%-53.9%] female; Asian, 3.0% [95% CI, 2.2%-3.9%]; Black, 14.9% [95% CI, 11.6%-19.1%]; Mexican American, 18.8% [95% CI, 15.4%-22.9%]; Other Hispanic, 8.1% [95% CI, 6.5%-10.1%]; White, 49.1% [95% CI, 43.2%-55.0%]; and >1 or other race, 6.1% [95% CI, 4.6%-8.0%]). Food insecurity (4.1% [95% CI, 0.7%-7.5%]), public insurance (5.3% [95% CI, 1.6%-9.1%]), and low income (5.7% [95% CI, 3.0%-8.3%]) were each independently associated with higher prediabetes prevalence after adjustment for race, ethnicity, and BMI z score. While Asian, Black, and Hispanic youths had higher prediabetes prevalence overall, increasing number of adverse SDOH was associated with higher prevalence among White youths (8.3% [95% CI, 4.9%-11.8%] for 3 vs 0.6% [95% CI, -0.7% to 2.0%] for 0 adverse SDOH). Conclusions and Relevance: Adverse SDOH were associated with higher prediabetes prevalence, across and within racial and ethnic categories. Consideration of adverse SDOH may offer a more actionable alternative to race- and ethnicity-based screening to evaluate T2D risk in youth.

Indexed as

Diabetes Mellitus, Type 2Prediabetic StateSocial Determinants of HealthAdolescentAmerican Indian or Alaska NativeAsianBlack or African AmericanBody Mass IndexChildCross-Sectional StudiesEthnicityFemaleFood InsecurityGlycated HemoglobinHispanic or LatinoHumansGlycated Hemoglobin

Identifiers

PMID38861258
PMCPMC11167496

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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.