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Are adolescents who were breast-fed less likely to be overweight? Analyses of sibling pairs to reduce confounding.
- Source :
- Epidemiology; Mar2005, Vol. 16 Issue 2, p247-253, 7p
- Publication Year :
- 2005
-
Abstract
- <bold>Background: </bold>Cohort analyses suggesting that breast-feeding protects against being overweight have been criticized for inadequately controlling for confounding associated with the self-selection of feeding practices.<bold>Methods: </bold>Using nationally representative U.S. data from the National Longitudinal Study of Adolescent Health (1994-1996), we performed traditional cohort analyses (n = 11,998) using logistic regression to estimate the relation between breast-feeding and adolescent overweight (body mass index > or =85 percentile, based on year 2000 CDC growth charts), controlling for known potential confounders. Breast-feeding also was assessed in a subsample of 850 sibling pairs to account for unmeasured genetic and environmental factors.<bold>Results: </bold>Among girls in the full cohort, the odds of being overweight declined among those who had been breast-fed at least 9 months; odds ratios ranged from 0.90 (95% confidence interval = 0.74-1.09) for <3 months of breast-feeding to 0.78 (0.64-0.96) for > or =9 months. A similar effect was seen in boys, although these trends were less consistent. In contrast, an analysis of sibling pairs provided no evidence of breast-feeding effects on weight within discordant trends.<bold>Conclusion: </bold>Cohort data indicate that odds of being overweight decrease as breast-feeding duration increases, at least among girls. However, sibling analyses suggest that this relationship may not be causal but rather attributable to unmeasured confounding related to mothers' choice to breast-feed, or to other childhood risk factors for overweight. Our results illustrate the utility of sibling analyses in understanding the true effect of early life exposures (such as breast-feeding) on health outcomes over time, independent of confounding factors that may not be satisfactorily controlled using traditional prospective cohort methods. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10443983
- Volume :
- 16
- Issue :
- 2
- Database :
- Supplemental Index
- Journal :
- Epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 138710866
- Full Text :
- https://doi.org/10.1097/01.ede.0000152900.81355.00