Literature DB >> 23331267

Use of data mining to reveal body mass index (BMI): patterns among Pennsylvania schoolchildren, pre-k to grade 12.

Ahmed H YoussefAgha1, David K Lohrmann, Wasantha P Jayawardene.   

Abstract

BACKGROUND: Health eTools for Schools was developed to assist school nurses with routine entries, including height and weight, on student health records, thus providing a readily accessible data base. Data-mining techniques were applied to this database to determine if clinically significant results could be generated.
METHODS: Body mass index (BMI) data collected and entered in eTools by school nurses from 657,068 students attending 1156 schools in 49 of 67 Pennsylvania counties during 2005-2009 were analyzed. Students in each BMI category were sorted; regression was used to model mean and percentage trends. A chi-square test of individually matched BMI percentages was computed and migration across normal, overweight, and obese states determined.
RESULTS: The highest percentage of obese students occured in middle school. The mean trends for obesity and overweight had increasing slopes of 0.189 and 0.227, respectively; with regression slope for overweight >59%. Within groups, substantial percentages of individually matched BMIs changed significantly (p < .0001) over 2 years, migrating between normal weight, overweight, and obese. A comparison of 2009 measured BMI for grades 9-12 from eTools with 2009 Pennsylvania Youth Risk Behavior Survey self-reported BMI yielded substantial diferences.
CONCLUSION: A pattern of increasing BMI for elementary students with a corresponding decrease among middle and high school students emerged. The means trends for both overweight and obesity were greater in 2009 than in 2005, increasing steadily to 2008 and slightly declining to 2009. The dominant overall pattern flows from overweight to obese. If continued unabated, percentage of students who are obese will dominate over time.
© 2013, American School Health Association.

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Year:  2013        PMID: 23331267     DOI: 10.1111/josh.12002

Source DB:  PubMed          Journal:  J Sch Health        ISSN: 0022-4391            Impact factor:   2.118


  4 in total

1.  Exploring Categorical Body Mass Index Trajectories in Elementary School Children.

Authors:  Geraldine Moreno-Black; Shawn Boles; Deb Johnson-Shelton; Cody Evers
Journal:  J Sch Health       Date:  2016-07       Impact factor: 2.118

2.  Two Worlds of Obesity: Ethnic Differences in Child Overweight/Obesity Prevalence and Trajectories.

Authors:  Geraldine Moreno-Black; Jean Stockard
Journal:  J Racial Ethn Health Disparities       Date:  2015-08-15

3.  A survey on data mining techniques used in medicine.

Authors:  Saba Maleki Birjandi; Seyed Hossein Khasteh
Journal:  J Diabetes Metab Disord       Date:  2021-08-31

4.  Trends in body mass index and prevalence of extreme high obesity among Pennsylvania children and adolescents, 2007-2011: promising but cautionary.

Authors:  David Lohrmann; Ahmed YoussefAgha; Wasantha Jayawardene
Journal:  Am J Public Health       Date:  2014-02-13       Impact factor: 9.308

  4 in total

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