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Fat-free mass hydration in newborns: assessment and implications for body composition studies.
MedLine Citation:
PMID:  21226759     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Aim:  Equipment (Pea Pod) offering new possibilities to assess infant body composition has recently become available and has already been used in several studies. In the Pea Pod, body density is converted to body composition using one of two models ("Fomon" or "Butte") with different water content in fat-free mass (hydration factor, HF). In healthy fullterm infants we assessed HF and its biological variability in 12 newborns and calculated body composition using the two models at one and 12 weeks in 108 infants. Body weight and volume were assessed in Pea Pod and body water was assessed using isotope dilution. Results:  HF was 80.9% with low biological variability (0.8% of average HF). Body fat (%) was significantly lower at one and 12 weeks when calculated using the "Butte" model than when using the "Fomon" model. The difference was more pronounced at one than at 12 weeks. Conclusion:  Our HF-value agrees with that in the "Fomon" model, its low biological variability can be reconciled with the statement that Pea Pod is accurate in newborns, and "Fomon" is the best available model for studies in Pea Pod.
Authors:
Britt Eriksson; Marie Löf; Olle Eriksson; Ulf Hannestad; Elisabet Forsum
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-1-12
Journal Detail:
Title:  Acta paediatrica (Oslo, Norway : 1992)     Volume:  -     ISSN:  1651-2227     ISO Abbreviation:  -     Publication Date:  2011 Jan 
Date Detail:
Created Date:  2011-1-13     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9205968     Medline TA:  Acta Paediatr     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Foundation Acta Paediatrica.
Affiliation:
Department of Clinical and Experimental Medicine, Linköping University, SE 581 85 Linköping, Sweden Department of Computer and Information Science, Linköping University, SE 581 83 Linköping, Sweden.
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