# Assessing the Burden of Diabetes by Type in Children, Adolescents and Young Adults (DiCAYA) - Component B (18 to < 45 yrs)

> **NIH ALLCDC U18** · KAISER FOUNDATION RESEARCH INSTITUTE · 2020 · $249,992

## Abstract

Project Summary
Diabetes, a spectrum of metabolic diseases caused by deficits in insulin secretion, insulin action, or both, is
one of the most common chronic diseases among adults, effecting over 30 million people in the United States
in 2017. Using data from the National Health Interview Survey (NHIS), the CDC estimated that young adults
ages 18-44 years account for ~ 3 million diagnosed diabetes cases and 1.6 million undiagnosed cases in the
US in 2015, with 3.1/1,000 individuals in this age group developing diabetes each year. NHIS results are based
on self-report of diagnosis date, insulin use, and diabetes type, which may not accurately assess diabetes
status and type. In 2017, the Diabetes in Young Adult (DiYA) study estimated that the age- and sex-
standardized diabetes incidence rate was 3.8/1,000 using information in electronic health records (EHR) of a
racially/ethnically diverse population of over 2.1 million health plan members 18-44 years in California. Given
that the incidence and prevalence of diabetes in US children and adolescents < 18 years continues to increase
and there is minimal mortality among this age group, these increases will in part drive increases in prevalence
of diabetes in young adults. A major challenge of diabetes surveillance in this age group is that most reported
estimates of incidence and prevalence are not type-specific. Use of electronic health records (EHRs) allow for
the assessment of type based on clinicians' determination and provides other clinical and demographic
information such as pharmacological treatment, body mass index, age and race/ethnicity. The Aims of this
study are: Aim 1: To ascertain prevalent diabetes cases in calendar years 2020-2024 among young adults
ages 18-44 years at diagnosis, using cost-efficient approaches that maximize use of information in the
electronic health records (EHRs) and administrative databases. Aim 2: To ascertain newly diagnosed
(incident 2020-2024) diabetes cases in young adults ages 18-44 years, using cost-efficient approaches that
maximize use of EHRs and administrative data. Aim 3: To describe selected clinical characteristics at
diagnosis and determine if these characteristics have changed over time. This study will be conducted in
Kaiser Permanente Southern California (KPSC), an integrated health care system that has ~1.4 million
members age 18-44 years in an 8-county area including Los Angeles county, the largest county in California.
The racial/ethnic diversity of the membership, the wealth of clinical information in the EHR including diagnosis
codes from inpatient, outpatient, and virtual care encounters; laboratory test results including diabetes
autoantibodies (when ordered); dispensed prescriptions, height, weight, blood pressure, and patient reported
outcomes that can be linked to demographic and membership data including health plan enrollment start and
end dates, creates a robust platform for diabetes surveillance activities.

## Key facts

- **NIH application ID:** 10085172
- **Project number:** 1U18DP006506-01
- **Recipient organization:** KAISER FOUNDATION RESEARCH INSTITUTE
- **Principal Investigator:** Jean Marie Lawrence
- **Activity code:** U18 (R01, R21, SBIR, etc.)
- **Funding institute:** ALLCDC
- **Fiscal year:** 2020
- **Award amount:** $249,992
- **Award type:** 1
- **Project period:** 2020-09-30 → 2025-09-29

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10085172

## Citation

> US National Institutes of Health, RePORTER application 10085172, Assessing the Burden of Diabetes by Type in Children, Adolescents and Young Adults (DiCAYA) - Component B (18 to < 45 yrs) (1U18DP006506-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10085172. Licensed CC0.

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