Utilize este identificador para referenciar este registo: https://hdl.handle.net/10216/154154
Autor(es): Moreira, C
Meira-Machado, L
Fonseca, MJ
Santos, AC
Título: A Multistate Model for Analyzing Transitions Between Body Mass Index Categories During Childhood: The Generation XXI Birth Cohort Study
Editor: Oxford University Press
Data de publicação: 2019
Resumo: 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.
Assunto: 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
Fonte: American Journal of Epidemiology, Volume 188, Issue 2, February 2019, Pages 305–313, https://doi.org/10.1093/aje/kwy232
Tipo de Documento: Artigo em Revista Científica Internacional
Condições de Acesso: openAccess
Licença: https://creativecommons.org/licenses/by/4.0/
Aparece nas coleções:ISPUP - Artigo em Revista Científica Internacional

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