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A Comprehensive Youth Diabetes Epidemiological Data Set and Web Portal: Resource Development and Case Studies
Catherine McDonough1, Yan Chak Li1, Nita Vangeepuram2,3
1Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
JMIR Public Health and Surveillance
|April 26, 2024
Summary
Rising rates of type 2 diabetes and pre-diabetes in youth necessitate understanding risk factors. This study created a comprehensive dataset and a web portal (POND) to share findings and facilitate research on youth pre-diabetes and diabetes.
Area of Science:
- Public Health
- Epidemiology
- Data Science
Background:
- Increasing prevalence of type 2 diabetes mellitus (DM) and pre-diabetes mellitus (pre-DM) among US youth.
- Urgent need to identify associated risk factors.
- Lack of accessible youth pre-DM/DM data hinders research.
Purpose of the Study:
- Build a high-quality, comprehensive epidemiological dataset for youth pre-DM/DM.
- Make data accessible via a user-friendly web portal to facilitate research.
- Address the gap in youth pre-DM/DM data and research.
Main Methods:
- Utilized National Health and Nutrition Examination Survey (NHANES) data (1999-2018) for youth aged 12-19.
- Cleaned and harmonized relevant variables for pre-DM/DM.
- Employed bivariate statistical analyses and an Ensemble Integration (EI) machine learning framework.
- Developed the Prediabetes/diabetes in youth Online Dashboard (POND) for data and code sharing.
Main Results:
- Extracted 95 variables across sociodemographic, health status, diet, and lifestyle domains.
- Identified 27 significant pre-DM/DM correlates (e.g., BMI, added sugar intake, screen time).
- EI framework identified 16 overlapping and 11 additional predictive variables, spanning all domains.
Conclusions:
- Developed one of the largest public epidemiological datasets for youth pre-DM/DM.
- Identified multifactorial risk factors across various domains.
- The POND platform facilitates future youth pre-DM/DM research and applications.
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