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An Evaluation of the Pea Pod System for Assessing Body Composition of Moderately Premature Infants
Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences.
Lund University, Sweden.
Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Medicine and Health Sciences.
2016 (English)In: Nutrients, ISSN 2072-6643, E-ISSN 2072-6643, Vol. 8, no 4, 238- p.Article in journal (Refereed) PublishedText
Abstract [en]

(1) Background: Assessing the quality of growth in premature infants is important in order to be able to provide them with optimal nutrition. The Pea Pod device, based on air displacement plethysmography, is able to assess body composition of infants. However, this method has not been sufficiently evaluated in premature infants; (2) Methods: In 14 infants in an age range of 3-7 days, born after 32-35 completed weeks of gestation, body weight, body volume, fat-free mass density (predicted by the Pea Pod software), and total body water (isotope dilution) were assessed. Reference estimates of fat-free mass density and body composition were obtained using a three-component model; (3) Results: Fat-free mass density values, predicted using Pea Pod, were biased but not significantly (p > 0.05) different from reference estimates. Body fat (%), assessed using Pea Pod, was not significantly different from reference estimates. The biological variability of fat-free mass density was 0.55% of the average value (1.0627 g/mL); (4) Conclusion: The results indicate that the Pea Pod system is accurate for groups of newborn, moderately premature infants. However, more studies where this system is used for premature infants are needed, and we provide suggestions regarding how to develop this area.

Place, publisher, year, edition, pages
MDPI AG , 2016. Vol. 8, no 4, 238- p.
Keyword [en]
body composition; fat-free mass density; isotope dilution; Pea Pod; premature infants; three-component model
National Category
Clinical Medicine
URN: urn:nbn:se:liu:diva-128968DOI: 10.3390/nu8040238ISI: 000374590200060PubMedID: 27110820OAI: diva2:934856

Funding Agencies|Medical Research Council of Southeast Sweden; County Council of Ostergotland

Available from: 2016-06-09 Created: 2016-06-07 Last updated: 2016-06-28

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Forsum, ElisabetTörnqvist, Caroline
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