Mahalakshmi Gopalakrishnamoorthy1, Kathryn Whyte2, Michelle Horowitz2, Elizabeth Widen2,3,4, Tatiana Toro-Ramos2, Jill Johnson2, Sonia Gidwani5, Charles Paley5, Barak Rosenn6, Susan Lin7, John Thornton8, Xavier Pi-Sunyer2,3, Dympna Gallagher2,3. 1. Division of Pediatric Endocrinology, Columbia University Irving Medical Center, New York, New York, USA. 2. Division of Endocrinology, Department of Medicine, New York Nutrition Obesity Research Center, Columbia University Irving Medical Center, New York, New York, USA. 3. Institute of Human Nutrition, Vagelos College of Physicians and Surgeons, Columbia University. 4. Department of Nutritional Sciences, The University of Texas at Austin, Austin, Texas, USA. 5. Department Pediatrics, Mount Sinai West Hospital, Mount Sinai Health System, Icahn School of Medicine, New York, New York, USA. 6. Department of Obstetrics and Gynecology, Mount Sinai West Hospital, Mount Sinai Health System, Icahn School of Medicine, New York, New York, USA. 7. Center for Family and Community Medicine, Columbia University, New York, New York, USA. 8. Consultant, New York, New York, USA.
Abstract
BACKGROUND: Currently available infant body composition measurement methods are impractical for routine clinical use. The study developed anthropometric equations (AEs) to estimate fat mass (FM, kg) during the first year using air displacement plethysmography (PEA POD® Infant Body Composition System) and Infant quantitative magnetic resonance (Infant-QMR) as criterion methods. METHODS: Multi-ethnic full-term infants (n = 191) were measured at 3 days, 15 and 54 weeks. Sex, race/ethnicity, gestational age, age (days), weight-kg (W), length-cm (L), head circumferences-cm (HC), skinfold thicknesses mm [triceps (TRI), thigh (THI), subscapular (SCP), and iliac (IL)], and FM by PEA POD® and Infant-QMR were collected. Stepwise linear regression determined the model that best predicted FM. RESULTS: Weight, length, head circumference, and skinfolds of triceps, thigh, and subscapular, but not iliac, significantly predicted FM throughout infancy in both the Infant-QMR and PEA POD models. Sex had an interaction effect at 3 days and 15 weeks for both the models. The coefficient of determination [R2 ] and root mean square error were 0.87 (66 g) at 3 days, 0.92 (153 g) at 15 weeks, and 0.82 (278 g) at 54 weeks for the Infant-QMR models; 0.77 (80 g) at 3 days and 0.82 (195 g) at 15 weeks for the PEA POD models respectively. CONCLUSIONS: Both PEA POD and Infant-QMR derived models predict FM using skinfolds, weight, head circumference, and length with acceptable R2 and residual patterns.
BACKGROUND: Currently available infant body composition measurement methods are impractical for routine clinical use. The study developed anthropometric equations (AEs) to estimate fat mass (FM, kg) during the first year using air displacement plethysmography (PEA POD® Infant Body Composition System) and Infant quantitative magnetic resonance (Infant-QMR) as criterion methods. METHODS: Multi-ethnic full-term infants (n = 191) were measured at 3 days, 15 and 54 weeks. Sex, race/ethnicity, gestational age, age (days), weight-kg (W), length-cm (L), head circumferences-cm (HC), skinfold thicknesses mm [triceps (TRI), thigh (THI), subscapular (SCP), and iliac (IL)], and FM by PEA POD® and Infant-QMR were collected. Stepwise linear regression determined the model that best predicted FM. RESULTS: Weight, length, head circumference, and skinfolds of triceps, thigh, and subscapular, but not iliac, significantly predicted FM throughout infancy in both the Infant-QMR and PEA POD models. Sex had an interaction effect at 3 days and 15 weeks for both the models. The coefficient of determination [R2 ] and root mean square error were 0.87 (66 g) at 3 days, 0.92 (153 g) at 15 weeks, and 0.82 (278 g) at 54 weeks for the Infant-QMR models; 0.77 (80 g) at 3 days and 0.82 (195 g) at 15 weeks for the PEA POD models respectively. CONCLUSIONS: Both PEA POD and Infant-QMR derived models predict FM using skinfolds, weight, head circumference, and length with acceptable R2 and residual patterns.
Authors: Sisitha Jayasinghe; Manoja P Herath; Jeffrey M Beckett; Kiran D K Ahuja; Nuala M Byrne; Andrew P Hills Journal: Eur J Clin Nutr Date: 2020-10-14 Impact factor: 4.016
Authors: Kristina M Stanfield; Jonathan C Wells; Mary S Fewtrell; Chris Frost; David A Leon Journal: Int J Epidemiol Date: 2012-09-14 Impact factor: 7.196