Evidence map›Paper›PMID 39752552›Full record

ArticleDiabetes care2025

Incidence and Risk Factors of Diagnosed Young-Adult-Onset Type 2 Diabetes in the U.S.: The National Health Interview Survey 2016-2022.

Lan Xu, Jinjun Ran, Hui Shao, Meng Chen, Hao Tang, Yongxuan Li, Yaqing Xu, Yue Huang, Feng Tao, Zhenxiu Liu and 1 more

Abstract read
In one paragraph

Article in Diabetes care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
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  6. Article
  7. Review
  8. Review
  9. Confluence of Diabetes Risk.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
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  11. Review
  12. 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

11 authors.

Lan XuDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-8654-679X
Jinjun RanDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-2684-6341
Hui ShaoEmory Global Diabetes Research Center, Emory University, Atlanta, GA.ORCID 0000-0002-4088-546X
Meng ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hao TangDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yongxuan LiDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yaqing XuDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yue HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Feng TaoShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Zhenxiu LiuShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Victor W ZhongDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-9208-4683

Funding

Translational Research Core - Engagement and Behavior ChangeP30DK111024 · NIDDK · EMORY UNIVERSITY · PI Mohammed Kumail Ali · 2016 to 2026
$13.4M
Fundamental Research Funds for the Central Universities YG2023QNB03Innovative Research Team of High-level Local University in Shanghai Not applicableKey R&D Program of China 2022YFC2705203National Natural Science Foundation of China 82373551NIDDK NIH HHS P30 DK111024Shanghai Jiao Tong University Young Faculty Initiation Program KJ3-0221-22-6313Shanghai Key Discipline of Public Health Grants Award GWVI-11.1-20Shanghai Science and Technology Development Foundation 22YF1421100
6 · The paper itself

Abstract

objectiveTo estimate the incidence and identify risk factors for diagnosed type 2 diabetes (T2D) among young U.S. adults. RESEARCH DESIGN AND

methodsWe analyzed 142,884 adults aged 18-79 years with self-reported diabetes type from the cross-sectional National Health Interview Survey in 2016-2022, representing the noninstitutionalized U.S. civilian population. Incidence of diagnosed T2D was calculated for three age groups: young-adult onset (18-44 years), middle-age onset (45-64 years), and older-adult onset (65-79 years); the latter two groups were included to highlight the distinct risk factor profile of young-adult-onset T2D. Multivariable logistic regressions were used to identify risk factors for young-adult-onset T2D.

resultsThe estimated incidence of diagnosed young-adult-onset T2D was 3.0 per 1,000 adults (95% CI 2.6-3.5). Minority groups, socioeconomically disadvantaged individuals, and people with cardiometabolic diseases or psychological conditions had a higher incidence of diagnosed young-adult-onset T2D compared with their counterparts. Lipid-lowering medication use (adjusted odds ratio [aOR] 13.15, 95% CI 8.85-19.55), antihypertensive medication use (aOR 11.89, 95% CI 7.97-17.73), and obesity (BMI ≥30 vs. <25 kg/m2, aOR 10.89, 95% CI 6.69-17.7) were the strongest risk factors for young-adult-onset T2D; these risk factors, along with hypertension, hyperlipidemia, and coronary heart disease, were more strongly associated with young-adult-onset T2D compared with later-onset T2D, with up to 4.5 times higher aORs.

conclusionsThis study quantified the incidence of diagnosed young-adult-onset T2D in U.S. adults and identified its distinct risk factor profile. Targeted prevention strategies for young-adult-onset T2D are needed for minority and socioeconomically disadvantaged people and those with cardiometabolic diseases.

Indexed as

Diabetes Mellitus, Type 2AdolescentAdultAgedAge of OnsetCross-Sectional StudiesFemaleHealth SurveysHumansIncidenceMaleMiddle AgedRisk FactorsUnited StatesYoung Adult

Identifiers

PMID39752552
PMCPMC12328765

What Socratic holds

Textmetadata
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 Socratic graph.