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

Author:

Giangreco Nicholas P12ORCID,Lina Sulieman3,Qian Jun3,Kuoame Aymone4,Subbian Vignesh56ORCID,Boerwinkle Eric7,Cicek Mine8,Clark Cheryl R9ORCID,Cohen Elizabeth10,Gebo Kelly A11,Loperena-Cortes Roxana4,Mayo Kelsey4,Mockrin Stephen1213,Ohno-Machado Lucila14,Schully Sheri D12,Tatonetti Nicholas P12,Ramirez Andrea H1215

Affiliation:

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

2. Department of Systems Biology, Columbia University, New York, New York, USA

3. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA

4. Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA

5. Department of Biomedical Engineering, The University of Arizona, Tucson, Arizona, USA

6. Department of Systems & Industrial Engineering, The University of Arizona, Tucson, Arizona, USA

7. School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA

8. Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA

9. Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA

10. Hunter-Bellevue School of Nursing, Hunter College City University of New York, New York, New York, USA

11. Bloomberg School of Public Health, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

12. All of Us Research Program, National Institutes of Health, Bethesda, Maryland, USA

13. Leidos, Inc, Frederick, Maryland, USA

14. Department of Biomedical Informatics, UCSD Health, La Jolla, California, USA

15. Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA

Abstract

Abstract Objective To describe and demonstrate use of pediatric data collected by the All of Us Research Program. Materials and Methods All of Us participant physical measurements and electronic health record (EHR) data were analyzed including investigation of trends in childhood obesity and correlation with adult body mass index (BMI). Results We identified 19 729 participants with legacy pediatric EHR data including diagnoses, prescriptions, visits, procedures, and measurements gathered since 1980. We found an increase in pediatric obesity diagnosis over time that correlates with BMI measurements recorded in participants’ adult EHRs and those physical measurements taken at enrollment in the research program. Discussion We highlight the availability of retrospective pediatric EHR data for nearly 20 000 All of Us participants. These data are relevant to current issues such as the rise in pediatric obesity. Conclusion All of Us contains a rich resource of retrospective pediatric EHR data to accelerate pediatric research studies.

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

Reference28 articles.

1. The ‘All of Us’ Research Program;Murray;N Engl J Med,2019

2. The All of Us Research Program: data quality, utility, and diversity;Ramirez;medRxiv,2020

3. Observational Health Data Sciences and Informatics (OHDSI): opportunities for observational researchers;Hripcsak;Stud Health Technol Inform,2015

4. Electronic health record-enabled research in children using the electronic health record for clinical discovery;Sutherland;Pediatr Clin North Am,2016

5. Data science for child health;Bennett;J Pediatr,2019

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