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Pediatric data from the All of Us research program: demonstration of pediatric obesity over time

Nicholas P Giangreco1, Sulieman Lina2, Jun Qian2

  • 1Department of Biomedical Informatics, Columbia University, New York, New York, USA.

JAMIA Open
|February 14, 2022
PubMed

Insights

The All of Us Research Program offers valuable pediatric electronic health record (EHR) data. This data reveals a concerning rise in childhood obesity trends, correlating with adult body mass index (BMI).

Area of Science:

  • Pediatric Health Research
  • Public Health Surveillance
  • Biomedical Informatics

Background:

  • The All of Us Research Program collects extensive health data.
  • Retrospective pediatric data is crucial for understanding long-term health trends.
  • Childhood obesity is a significant and growing public health concern.

Purpose of the Study:

  • To describe the availability and utility of pediatric data within the All of Us Research Program.
  • To demonstrate the use of this data for analyzing trends in childhood obesity.
  • To investigate the correlation between childhood obesity and adult BMI.

Main Methods:

  • Analysis of electronic health record (EHR) data from All of Us participants.
  • Inclusion of pediatric diagnoses, prescriptions, visits, procedures, and physical measurements.
  • Correlation analysis between pediatric obesity diagnoses and adult BMI measurements.

Main Results:

  • Identified 19,729 participants with legacy pediatric EHR data dating back to 1980.
  • Observed an increasing trend in pediatric obesity diagnoses over time.
  • Found a correlation between pediatric obesity diagnoses and adult BMI measurements.

Conclusions:

  • The All of Us Research Program provides a rich dataset of retrospective pediatric EHRs for nearly 20,000 participants.
  • This data is essential for addressing current public health issues like the rise in pediatric obesity.
  • The availability of this data can accelerate pediatric research.
Abstract

Keywords:
electronic health recordsmedical informaticspediatricspublic health informaticsretrospective studies

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