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Determinants of Adiposity Rebound Timing in Children.
Ip, Edward H; Marshall, Sarah A; Saldana, Santiago; Skelton, Joseph A; Suerken, Cynthia K; Arcury, Thomas A; Quandt, Sara A.
Afiliação
  • Ip EH; Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC.
  • Marshall SA; Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC.
  • Saldana S; Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC.
  • Skelton JA; Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC.
  • Suerken CK; Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC.
  • Arcury TA; Department of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC.
  • Quandt SA; Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC. Electronic address: squandt@wakehealth.edu.
J Pediatr ; 184: 151-156.e2, 2017 05.
Article em En | MEDLINE | ID: mdl-28242030
OBJECTIVE: Adiposity rebound (AR) or BMI (body mass index) rebound refers to the increase in BMI following the minimum BMI in early childhood. Early AR (before age 5) is predictive of adult obesity. To determine how 4 domains - demographics, maternal BMI, food security, and behavioral characteristics - may affect timing of AR. STUDY DESIGN: A total of 248 children, ages 2.5-3.5 years, in Latino farmworker families in North Carolina were examined at baseline and every 3 months for 2 years. BMI was plotted serially for each child and the onset of BMI rebound was determined by visual inspection of the graphs. Given the ages of the children, all rebounds were detected before age 5 years and were deemed "early," whereas other children were classified as "nonrebounders." Classes were then compared in terms of the 4 domains with the use of bivariate analyses and linear mixed models. RESULTS: A total of 131 children demonstrated early rebound, 59 children were nonrebounders, and a further 35 had inconclusive data. Parents of early rebounders were less likely to have documentation permitting legal residence in the US. Mothers of early rebounders were on average 3 BMI units heavier. Sex, household food security, diet quality, caloric intake, and daily activity did not differ between classes. In multivariable analysis, female sex, limited maternal education, increased maternal BMI, and increased caloric intake were significant predictors of early rebound. CONCLUSION: High maternal BMI was the strongest predictor of early BMI rebound, but increased caloric intake also was significant. Limiting excess calories could delay premature AR and lower the risk of future obesity.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Índice de Massa Corporal / Adiposidade / Obesidade Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child, preschool / Female / Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Índice de Massa Corporal / Adiposidade / Obesidade Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child, preschool / Female / Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article