Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/154154
Author(s): Moreira, C
Meira-Machado, L
Fonseca, MJ
Santos, AC
Title: A Multistate Model for Analyzing Transitions Between Body Mass Index Categories During Childhood: The Generation XXI Birth Cohort Study
Publisher: Oxford University Press
Issue Date: 2019
Abstract: Prevalences of overweight and obesity in young children have risen dramatically in the last several decades in most developed countries. Childhood overweight and obesity are known to have immediate and long-term health consequences and are now recognized as important public health concerns. We used a Markov 4-state model with states defined by 4 body mass index (BMI; weight (kg)/height (m)(2)) categories (underweight (<-2 standard deviations (SDs) of BMI z score), normal weight (-2 SD 1), overweight (1 < SD 2), and obese (>2 SDs of BMI z score)) to study the rates of transition to higher or lower BMI categories among children aged 4-10 years. We also used this model to study the relationships between explanatory variables and their transition rates. The participants consisted of 4,887 children from the Generation XXI Birth Cohort Study (Porto, Portugal; 2005-2017) who underwent anthropometric evaluation at age 4 years and in at least 1 of the subsequent follow-up waves (ages 7 and 10 years). Children who were normal weight were more likely to move to higher BMI categories than to lower categories, whereas overweight children had similar rates of transition to the 2 adjacent categories. We evaluated the associations of maternal age and education, type of delivery, sex, and birth weight with childhood overweight and obesity, but we observed statistically significant results only for sex and maternal education with regard to the progressive transitions.
Subject: body mass index; body mass transitions; childhood obesity; Generation XXI; interval censoring; multistate models
DOI: 10.1093/aje/kwy232
URI: https://hdl.handle.net/10216/154154
Source: American Journal of Epidemiology, Volume 188, Issue 2, February 2019, Pages 305–313, https://doi.org/10.1093/aje/kwy232
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by/4.0/
Appears in Collections:ISPUP - Artigo em Revista Científica Internacional

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