Estimating diabetes prevalence among NYC youth: Evidence from the Automated Student Health Record

We provide the first estimates of childhood type 1 and type 2 diabetes prevalence following the onset of the COVID-19 pandemic. Our analysis documents change in prevalence from 2010−11–2021−22, with a particular focus on trends from 2016−17 onward, using Automated Student Health Record (ASHR) data maintained by New York City Department of Health and Mental Hygiene (NYC DOHMH). We study non-homeschooled students aged 5−17 in grades pre-K to 12 enrolled in New York City Public Schools (NYCPS), resulting in an analytic sample of 2,167,033 unique students. Our main outcome measure is type 1 or 2 diabetes prevalence per 1,000 students each school year. In 2021−22, type 1 diabetes prevalence was highest among White students (2.73 per 1,000; 95% CI: 2.44, 2.97) and those aged 15−17 (2.24 per 1,000; 95% CI: 2.03, 2.45), with no significant increase since 2016−17 ( p > 0.050). Meanwhile, we find type 2 diabetes increased nearly 40% from 2016−17–2021−22 ( p < 0.050), with the highest prevalence among students with obesity (2.35 per 1,000; 95% CI: 1.96, 2.74). While type 2 diabetes has been rising for most demographic groups since 2016−17, we estimate that increases in type 2 diabetes prevalence are largest for older students, students of color, those with obesity, or those living in high-poverty areas, although most increases are not significantly different from other groups. Finally, we demonstrate that systems like ASHR can be a valuable resource for tracking chronic conditions in youth nationwide, underscoring its potential for broader public health monitoring.

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PLoS ONE
Published
2026-11-11
DOI
https://doi.org/10.1371/journal.pone.0344345
Primary Topic
Diabetes and associated disorders
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article
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article

Estimating diabetes prevalence among NYC youth: Evidence from the Automated Student Health Record

Maria Fitzpatrick, Kevin Konty, Sophia E. Day, Kira L. Argenio et al.
PLoS ONE
Diabetes and associated disorders
article

Estimating diabetes prevalence among NYC youth: Evidence from the Automated Student Health Record

Maria Fitzpatrick, Kevin Konty, Sophia E. Day, Kira L. Argenio, Cristina Yunzal‐Butler, Gabrielle Sorresso, Sophia White
article en

Abstract

We provide the first estimates of childhood type 1 and type 2 diabetes prevalence following the onset of the COVID-19 pandemic. Our analysis documents change in prevalence from 2010−11–2021−22, with a particular focus on trends from 2016−17 onward, using Automated Student Health Record (ASHR) data maintained by New York City Department of Health and Mental Hygiene (NYC DOHMH). We study non-homeschooled students aged 5−17 in grades pre-K to 12 enrolled in New York City Public Schools (NYCPS), resulting in an analytic sample of 2,167,033 unique students. Our main outcome measure is type 1 or 2 diabetes prevalence per 1,000 students each school year. In 2021−22, type 1 diabetes prevalence was highest among White students (2.73 per 1,000; 95% CI: 2.44, 2.97) and those aged 15−17 (2.24 per 1,000; 95% CI: 2.03, 2.45), with no significant increase since 2016−17 ( p > 0.050). Meanwhile, we find type 2 diabetes increased nearly 40% from 2016−17–2021−22 ( p < 0.050), with the highest prevalence among students with obesity (2.35 per 1,000; 95% CI: 1.96, 2.74). While type 2 diabetes has been rising for most demographic groups since 2016−17, we estimate that increases in type 2 diabetes prevalence are largest for older students, students of color, those with obesity, or those living in high-poverty areas, although most increases are not significantly different from other groups. Finally, we demonstrate that systems like ASHR can be a valuable resource for tracking chronic conditions in youth nationwide, underscoring its potential for broader public health monitoring.

PLoS ONEVol. 21(11)
Cornell University (US), Weill Cornell Medicine (US)
Diabetes and associated disorders
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