We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Overweight in Infancy: Which Pre- and Perinatal Factors Determine Overweight Persistence or Reduction? A Birth Cohort Followed for 11 Years.
- Authors
van Rossem, Lenie; Wijga, Alet H.; Brunekreef, Bert; de Jongste, Johan C.; Kerkhof, Marjan; Postma, Dirkje S.; Gehring, Ulrike; Smit, Henriëtte A.
- Abstract
Background: A considerable proportion of children with early-life overweight attain a normal weight. To recognize infants at risk of persistent overweight, we compared early-life factors of children with a longitudinal pattern of persistent overweight to children with a pattern of overweight in early but not in later childhood. Methods: In 3,550 children participating in a birth cohort that started in 1996/1997 in the Netherlands, body mass index was repeatedly assessed until age 11 and dichotomized into with/without overweight. Latent class growth modeling was used to distinguish trajectories. Our analysis was focused on the comparison of early-life factors in children in a persistent overweight pattern with those in an overweight reduction pattern using multivariable log-binomial regression analyses. Results: Children (n = 133) in the persistent overweight pattern were more likely to have overweight parents [relative risk (RR)mother: 1.85, 95% CI: 1.37-2.49: RRfather: 1.75, 95% CI: 1.21-2.55] than children in the overweight reduction pattern (n = 303). Maternal education, child's gender, ethnicity, birth weight, breast-feeding and maternal smoking during pregnancy did not differ between the trajectories. Conclusion: Health care practitioners should focus on high-weight infants with overweight parents, as these children are less likely to resolve their overweight. © 2014 S. Karger AG, Basel
- Subjects
OBESITY; MEDICAL needs assessment; ACADEMIC medical centers; BODY weight; CHILDBIRTH; PATIENT aftercare; LONGITUDINAL method; EVALUATION of medical care; METABOLISM; NUTRITION; PEDIATRICS; PERINATOLOGY; STATURE; DATA analysis; SOCIOECONOMIC factors; BODY mass index; DATA analysis software; DIAGNOSIS
- Publication
Annals of Nutrition & Metabolism, 2014, Vol 65, Issue 2/3, p211
- ISSN
0250-6807
- Publication type
Article
- DOI
10.1159/000360305