Literature DB >> 27246674

Exploring Categorical Body Mass Index Trajectories in Elementary School Children.

Geraldine Moreno-Black1, Shawn Boles2, Deb Johnson-Shelton3, Cody Evers4.   

Abstract

BACKGROUND: Studies of body mass index (BMI) change have focused on understanding growth trajectories from childhood to adolescence and adolescence to adulthood, but few have explored BMI trajectories solely in elementary (grades K-5) school children. This report complements these studies by exploring changes in obesity status using analytic methods developed to investigate categorical changes in life-course events.
METHODS: Sequences of a 4-state BMI variable (underweight, normal, overweight, and obese) were calculated using height and weight data collected annually (2008-2013) from 414 kindergarten and first-grade students participating in the Community and Schools Together (CAST) project. These sequences were explored using the TraMineR software package to investigate the distribution of sequences and states, calculate transition rates among states, and examine clustering of sequences.
RESULTS: Aggregated cluster solutions were identified consisting of either 4 clusters (normal, stepped, mixed, and obese) or 3 clusters (aggregation of obese cluster cases into stepped cluster) with membership in the former predicted by ethnicity and socioeconomic status (SES) and the latter by SES alone. Transition rate patterns among states varied markedly by cluster and state.
CONCLUSION: The finding of early emergence of stable obesity states, especially in Hispanic children confirms the need for early childhood interventions to influence BMI.
© 2016, American School Health Association.

Entities:  

Keywords:  body mass index; developmental trajectories; elementary school; overweight/obesity

Mesh:

Year:  2016        PMID: 27246674      PMCID: PMC5055398          DOI: 10.1111/josh.12402

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


  39 in total

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

Authors:  Ahmed H YoussefAgha; David K Lohrmann; Wasantha P Jayawardene
Journal:  J Sch Health       Date:  2013-02       Impact factor: 2.118

9.  Incidence of childhood obesity in the United States.

Authors:  Solveig A Cunningham; Michael R Kramer; K M Venkat Narayan
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Journal:  Prev Chronic Dis       Date:  2011-08-15       Impact factor: 2.830

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2.  Use of State Sequence Analysis in Pharmacoepidemiology: A Tutorial.

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