Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • Other Publications
    • abfm

User menu

Search

  • Advanced search
American Board of Family Medicine
  • Other Publications
    • abfm
American Board of Family Medicine

American Board of Family Medicine

Advanced Search

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • JABFM on Bluesky
  • JABFM On Facebook
  • JABFM On Twitter
  • JABFM On YouTube
Research ArticleOriginal Research

A Longitudinal Effectiveness Study of a Child Obesity Electronic Health Record Tool

Amy Braddock, Richelle J. Koopman, Jamie Smith, Andy S. Lee, Samuel Holt McNair, Sarah Hampl, Nuha Wareg, Megan Clary, Natalie Miller and Christy B. Turer
The Journal of the American Board of Family Medicine July 2022, 35 (4) 742-750; DOI: https://doi.org/10.3122/jabfm.2022.04.210385
Amy Braddock
From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT).
MD, MSPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Richelle J. Koopman
From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT).
MD, MS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jamie Smith
From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT).
MA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andy S. Lee
From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Samuel Holt McNair
From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sarah Hampl
From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT).
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nuha Wareg
From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT).
MPH, MBBS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Megan Clary
From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT).
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Natalie Miller
From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT).
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christy B. Turer
From University of Missouri, Columbia, MO (AB, RJK, JS, NW, MC); University of Missouri School of Medicine, Columbia, MO (ASL, SHM); General Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles & Nutrition, Kansas City, MO, University of MO-Kansas City School of Medicine (SH); Cahaba Family Medicine, Pelham, AL (NM); Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas (CBT).
MD, MHS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Tables

    • View popup
    Table 1.

    Definition of Favorable versus unfavorable BMI Pattern per First and Last BMI Percentile (BMI%)

    Last BMI%
    First BMI%Favorable BMI patternUnfavorable BMI pattern
    Healthy weight, BMI% <85thHealthy weight, BMI% <85thOverweight/obesity, BMI% ≥85th
    Overweight/obesity, BMI% ≥85thHealthy weight, BMI% <85thOverweight/obesity, BMI% ≥85th
    • Abbreviation: BMI, Body Mass Index.

    • View popup
    Table 2.

    Sample Demographics Overall, by Intervention Arm, and by Baseline BMI Category

    Intervention versus ControlBMI Category at Baseline
    OverallFitTasticControlp-ValueHealthyOverweight/ Obesityp-Value
    N%N%N%N%N%
    Overall29110017961.511238.5--20269.48930.6--
    Child gender0.630.06
        Male15653.69452.56255.410150.05561.8
        Female13546.48547.55044.610150.03438.2
    Child age0.230.07
        2 to 5 years15954.610357.55650.011958.94044.9
        6 to 12 years9231.65027.94237.55929.23337.1
        13 to 17 years4013.82614.51412.52411.91618.0
    Child's race0.370.75
        Caucasian23681.114480.49282.11668217078.6
        African American3010.3168.91412.5199.41112.3
        Other Race124.195.032.694.433.3
        Unknown/Missing134.4105.532.683.955.6
    BMI at baseline0.21--
        Healthy20269.412936.17343.8----
        Overweight/obesity8930.65063.93956.2----
    Parent education0.0020.01
        No college degree10736.85128.55650.06431.74348.3
        College degree18362.912770.95650.013868.34550.6
        (not reported)(1)--(1)(1)
    Study arm--0.21
        Control11238.5----7336.13943.8
        Intervention17961.5----12963.95056.2
    • Abbreviation: BMI, Body Mass Index.

    • View popup
    Table 3.

    BMI Pattern FitTastic versus Control

    Full Sample (n = 291)Overweight/Obese Only (n = 89)
    % Favorable% Unfavorableχ2p-Value% Favorable% Unfavorableχ2p-Value
    FitTastic68.731.33.430.0632.068.04.470.03
    Control58.042.012.887.2
    • Abbreviation: BMI, Body Mass Index.

    • View popup
    Table 4.

    Multivariable Analysis of Factors Associated with Favorable BMI Pattern, Overall and in Sub-Sample with Overweight/Obesity

    Overall Sample (n = 291)Overweight/Obese Subsample (n = 89)
    95% CI95% CI
    ORLowHighp-ValueORLowHighp-Value
    Intervention versus control1.420.842.390.193.81.113.20.04
    Child age
        2 to 5 years2.211.054.630.0415.41.6148.40.02
        6 to 12 years1.380.633.000.416.60.667.10.11
        13 to 17 years (referent)
    Male gender (vs female)2.041.223.400.012.70.98.20.09
    African American (vs other race)0.520.231.170.110.20.11.40.10
    Parental education:
        College degree versus no degree1.110.951.290.171.00.71.320.80
    • Abbreviations: BMI, Body Mass Index; OR, odds ratio; CI, confidence interval.

PreviousNext
Back to top

In this issue

The Journal of the American Board of Family     Medicine: 35 (4)
The Journal of the American Board of Family Medicine
Vol. 35, Issue 4
July/August 2022
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Board of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
A Longitudinal Effectiveness Study of a Child Obesity Electronic Health Record Tool
(Your Name) has sent you a message from American Board of Family Medicine
(Your Name) thought you would like to see the American Board of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
3 + 1 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
A Longitudinal Effectiveness Study of a Child Obesity Electronic Health Record Tool
Amy Braddock, Richelle J. Koopman, Jamie Smith, Andy S. Lee, Samuel Holt McNair, Sarah Hampl, Nuha Wareg, Megan Clary, Natalie Miller, Christy B. Turer
The Journal of the American Board of Family Medicine Jul 2022, 35 (4) 742-750; DOI: 10.3122/jabfm.2022.04.210385

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
A Longitudinal Effectiveness Study of a Child Obesity Electronic Health Record Tool
Amy Braddock, Richelle J. Koopman, Jamie Smith, Andy S. Lee, Samuel Holt McNair, Sarah Hampl, Nuha Wareg, Megan Clary, Natalie Miller, Christy B. Turer
The Journal of the American Board of Family Medicine Jul 2022, 35 (4) 742-750; DOI: 10.3122/jabfm.2022.04.210385
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Methods
    • Results
    • Discussion
    • Conclusion
    • Acknowledgments
    • Notes
    • References
  • Figures & Data
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Family Medicine Researchers Explore the Social Determinants of Health, COVID-19 Issues, and Cancer Survivor Care
  • Google Scholar

More in this TOC Section

  • Regional Variation in Scope of Practice by Family Physicians
  • Successful Implementation of Integrated Behavioral Health
  • Identifying and Addressing Social Determinants of Health with an Electronic Health Record
Show more Original Research

Similar Articles

Keywords

  • Body Mass Index
  • Control Groups
  • Counseling
  • Electronic Health Records
  • Exercise
  • Healthy Lifestyle
  • Logistic Models
  • Patient Care Team
  • Pediatric Obesity
  • Primary Health Care
  • Technology

Navigate

  • Home
  • Current Issue
  • Past Issues

Authors & Reviewers

  • Info For Authors
  • Info For Reviewers
  • Submit A Manuscript/Review

Other Services

  • Get Email Alerts
  • Classifieds
  • Reprints and Permissions

Other Resources

  • Forms
  • Contact Us
  • ABFM News

© 2025 American Board of Family Medicine

Powered by HighWire