ArticleThe Diabetes educator2016
A Self-assessment Tool for Screening Young Adults at Risk of Type 2 Diabetes Using Strong Heart Family Study Data.
Article in The Diabetes educator, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Screening Tools for Early Identification of Adults at High Risk of Type 2 Diabetes: A Scoping Review.Healthcare (Basel, Switzerland) · 2026Review
- Characteristics associated with early- vs. later-onset adult diabetes: The CARDIA study.Diabetes research and clinical practice · 2021Article
- DS21, a new noninvasive technology, is effective and safe for screening for prediabetes and diabetes in Chinese population.Biomedical engineering online · 2020Article
- The Efficacy of New Chinese Diabetes Risk Score in Screening Undiagnosed Type 2 Diabetes and Prediabetes: A Community-Based Cross-Sectional Study in Eastern China.Journal of diabetes research · 2020Article
- Hospital admissions for hyperglycemic emergencies in young adults at an inner-city hospital.Diabetes research and clinical practice · 2019Article
- Early-onset diabetes: an epidemic in China.Frontiers of medicine · 2018Review
- Prediabetes and Cardiovascular Disease: Pathophysiology and Interventions for Prevention and Risk Reduction.Endocrinology and metabolism clinics of North America · 2018Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
purposeThe purpose of this study is to characterize risk factors associated with type 2 diabetes in young adults aged 18 to 29 years to develop a noninvasive risk assessment tool for use with younger American populations.
methodsThe self-assessment tool was developed with the Strong Heart Family Study data. A total of 590 young American Indian adults (242 men) who had normoglycemia and were not receiving diabetes treatment were included. Risk factors recommended by the American Diabetes Association were used to assess diabetes risk in these young adults. A logistic regression model was developed to calculate the predicted probability. The area under the receiver operating characteristic curve was used to evaluate the model.
resultsThe final model showed that parental history of diabetes, obesity level, alcohol consumption, and high fasting glucose, even within normal range, were significantly associated with onset of prediabetes/diabetes in 5 years. The area under the receiver operating characteristic curve value was 0.68 with original and validated data, indicating that the risk assessment tool had reasonably good discrimination ability.
conclusionsThis new noninvasive screening tool, based on data from American Indian young adults, has potential to screen young adults' early-onset diabetes risk. Future studies are warranted to test this risk assessment tool in other racial/ethnic young adults.
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