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Evaluating the role of youth-onset diabetes mellitus in the context of food insecurity and preventive care: a repeated cross-sectional study using propensity score weighted machine learning analysis
Background: Youth-onset diabetes mellitus (DM) is an increasing public health concern, especially among adolescents facing socioeconomic challenges. Food insecurity (FI), a key social determinant of health, has been linked to adverse metabolic outcomes, but its association with youth-onset DM and the role of preventive care remain unclear.
Methods: Using repeated cross-sectional data from the National Survey of Children’s Health (2016–2021), we examined the association between FI status (food secure, mild FI and moderate-to-severe FI) and youth-onset DM among adolescents aged 10–17 years. We also evaluated whether usual preventive care modified this association. Propensity score weighting (PSW) was used to reduce the imbalance of measured confounders across FI groups. These weights were applied in the least absolute shrinkage and selection operator logistic regression for variable selection and in the final multivariable logistic regression models.
Results: In the PSW analysis of 66 560 adolescents, 432 had youth-onset DM. Moderate-to-severe FI was associated with higher odds of DM than food-secure adolescents (OR 1.55, 95% CI 1.35 to 1.77; p<0.0001), whereas mild FI was not associated with youth-onset DM. Among adolescents with preventive care visits, both mild FI (OR 1.19, 95% CI 1.04 to 1.37; p=0.0126) and moderate-to-severe FI (OR 1.67, 95% CI 1.46 to 1.92; p<0.0001) were associated with higher odds of DM. Among those without preventive care visits, FI was associated with lower odds of having a reported DM diagnosis, especially in the moderate-to-severe FI group (OR 0.11, 95% CI 0.03 to 0.35; p=0.0002).
Conclusions: Moderate-to-severe FI was associated with youth-onset DM, and this relationship varied by access to preventive care. Adolescents with FI who lack regular preventive care may have fewer opportunities for DM diagnosis. Public health strategies should integrate FI screening, equitable access to preventive services and culturally responsive approaches to chronic disease prevention.
Keywords: Adolescent Health; Endocrinology; Epidemiology; Health services research; Machine Learning
© Author(s) (or their employer(s)) 2026. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group.
Student Contributions
Karan Kumar & Urja Nimitkumar Joshi - MPH Program, UIS