Evidence map›Paper›PMID 38512423›Full record

ArticleJournal of racial and ethnic health disparities2025

Race/Ethnicity and Other Predictors of Early-Onset Type 2 Diabetes Mellitus in the US Population.

Noé Carème Manfouo Fouotsa, Ruth Ndjaboue, Gerard Ngueta

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Article in Journal of racial and ethnic health disparities, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Noé Carème Manfouo FouotsaCHU de Sherbrooke Research Center, DOCC (Diabetes, Obesity and Cardiovasvascular Complications), CRCHUS-Hôpital Fleurimont, 12Eme Avenue Nord, Sherbrooke, Québec, 3001, Canada.ORCID 0000-0001-6133-8185
Ruth NdjaboueCanada Research Chair in Inclusivity and Active Ageing, University of Sherbrooke, Sherbrooke, Canada.
Gerard NguetaCHU de Sherbrooke Research Center, DOCC (Diabetes, Obesity and Cardiovasvascular Complications), CRCHUS-Hôpital Fleurimont, 12Eme Avenue Nord, Sherbrooke, Québec, 3001, Canada. Gerard.Ngueta2@USherbrooke.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAmong US adults aged 20 + years in the USA with previously diagnosed type 2 diabetes mellitus (T2DM), we aimed to estimate the prevalence of early-onset T2DM (onset at age < 50.5 years) and to test associations between early-onset T2DM and race/ethnicity, and other hypothesized predictors.

methodsWe pooled data from the annual National Health and Nutrition Examination Surveys (NHANES) over the years 2001 through 2018. We tested hypotheses of association and identified predictors using stepwise logistic regression analysis, and 11 supervised machine learning classification algorithms.

resultsAfter appropriate weighting, we estimated that among adults in the USA aged 20 + years with previously diagnosed T2DM, the prevalence of early-onset was 52.9% (95% confidence intervals, 49.6 to 56.2%). Among Non-Hispanic Whites (NHW) the prevalence was 48.6% (95% CI, 44.6 to 52.6%), among Non-Hispanic Blacks: 56.9% (95% CI, 51.8 to 62.0%), among Hispanics: 62.7% (95% CI, 53.2 to 72.3%). In the final multivariable logistic regression model, the top-3 markers predicting early-onset T2DM in males were NHB ethnicity (OR = 2.97; 95% CI: 2.24-3.95) > tobacco smoking (OR = 2.79; 95% CI: 2.18-3.58) > high education level (OR = 1.65; 95% CI: 1.27-2.14) in males. In females, the ranking was tobacco smoking (OR = 2.59; 95% CI: 1.90-3.53) > Hispanic ethnicity (OR = 1.49; 95% CI: 1.08-2.05) > obesity (OR = 1.30; 95% CI: 0.91-1.86) in females. The acculturation score emerged from the machine learning approach as the dominant marker explaining the race disparity in early-onset T2DM.

conclusionsThe prevalence of early-onset T2DM was higher among NHB and Hispanic people, than among NHW people. Independently of race/ethnicity, acculturation, tobacco smoking, education level, marital status, obesity, and hypertension were also predictive.

Indexed as

Diabetes Mellitus, Type 2EthnicityRacial GroupsAdultAge of OnsetBlack or African AmericanFemaleHispanic or LatinoHumansMaleMiddle AgedNutrition SurveysPrevalenceRisk FactorsUnited StatesWhiteEarly type 2 diabetes mellitusMachine learningMutual informationRace/ethnicityStepwise logistic regression

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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.