ArticleThe Journal of school health2016
Exploring Categorical Body Mass Index Trajectories in Elementary School Children.
Article in The Journal of school health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Weight Status Transitions and Validation of an Obesity Model for Aboriginal and Torres Strait Islander Children and Adolescents.Medical decision making : an international journal of the Society for Medical Decision Making · 2025Article
- Investigation of the pharmacological treatment patterns of Chinese patients with major depressive disorder under real-world settings using multi-channel sequence analysis.Frontiers in psychiatry · 2023Article
- Use of State Sequence Analysis in Pharmacoepidemiology: A Tutorial.International journal of environmental research and public health · 2021Article
- Article
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Authors and funding
4 authors.
Funding
Abstract
backgroundStudies 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.
methodsSequences 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.
resultsAggregated 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.
conclusionThe finding of early emergence of stable obesity states, especially in Hispanic children confirms the need for early childhood interventions to influence BMI.
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Registered trials
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