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

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posted on 2025-01-03, 19:03 authored by Lan Xu, Jinjun Ran, Hui Shao, Meng Chen, Hao Tang, Yongxuan Li, Yaqing Xu, Yue Huang, Feng Tao, Zhenxiu Liu, Victor W. Zhong

OBJECTIVE To estimate the incidence and identify risk factors for diagnosed type 2 diabetes (T2D) among young US adults. Research DESIGN and methods We 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 non-institutionalized US 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. RESULTS The estimated incidence of diagnosed young-adult-onset T2D was 3.0 per 1000 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 to their counterparts. Lipid-lowering medication use (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 to later-onset T2D, with up to 4.5 times higher aORs. CONCLUSIONS This study quantified the incidence of diagnosed young-adult-onset T2D in US 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.

Funding

This work was supported by the National Key R&D Program of China (2022YFC2705203 and 2023YFC2506700), the National Natural Science Foundation of China (82373551), Shanghai Key Discipline of Public Health Grants Award (GWVI-11.1-20), and the Innovative Research Team of High-Level Local Universities in Shanghai (Prof. Zhong); the Fundamental Research Funds for the Central Universities (YG2023QNB03), the Shanghai Jiao Tong University Young Faculty Initiation Program (KJ3-0221-22-6313) (Dr. Xu); the Shanghai Science and Technology Development Fund (22YF1421100) (Dr. Ran).

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