Estimation of fat-free mass in Asian neonates using bioelectrical impedance analysis
| Autor: | Izzuddin M. Aris, Keith M. Godfrey, Yap Seng Chong, Fabian Yap, Mya-Thway Tint, Peter D. Gluckman, Leigh C. Ward, Shu E Soh, Seang-Mei Saw, Amutha Chinnadurai, Michael S. Kramer, Yung Seng Lee, Barbara E. Lingwood |
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| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Male Pediatrics medicine.medical_specialty media_common.quotation_subject Body water Population Medicine (miscellaneous) Models Biological White People Article Cohort Studies Fetal Development 03 medical and health sciences Child Development Asian People Statistics medicine Electric Impedance Humans Prospective Studies education Prospective cohort study media_common Mathematics Plethysmography Whole Body education.field_of_study Sex Characteristics Singapore 030109 nutrition & dietetics Nutrition and Dietetics Variables Musculoskeletal Development Infant Newborn Anthropometry Cohort Body Composition Female Queensland Bioelectrical impedance analysis human activities Algorithms Cohort study Follow-Up Studies |
| Zdroj: | The British journal of nutrition. 115(6) |
| ISSN: | 1475-2662 |
| Popis: | The aims of this study were to develop and validate a prediction equation of fat-free mass (FFM) based on bioelectrical impedance analysis (BIA) and anthropometry using air-displacement plethysmography (ADP) as a reference in Asian neonates and to test the applicability of the prediction equations in an independent Western cohort. A total of 173 neonates at birth and 140 at two weeks of age were included. Multiple linear regression analysis was performed to develop the prediction equations in a two-third randomly selected subset and validated on the remaining one-third subset at each time point and in an independent Queensland cohort. FFM measured by ADP was the dependent variable, and anthropometric measures, sex and impedance quotient (L2/R50) were independent variables in the model. Accuracy of prediction equations was assessed using intra-class correlation and Bland–Altman analyses. L2/R50was the significant predictor of FFM at week two but not at birth. Compared with the model using weight, sex and length, including L2/R50slightly improved the prediction with a bias of 0·01 kg with 2sdlimits of agreement (LOA) (0·18, −0·20). Prediction explained 88·9 % of variation but not beyond that of anthropometry. Applying these equations to the Queensland cohort provided similar performance at the appropriate age. However, when the Queensland equations were applied to our cohort, the bias increased slightly but with similar LOA. BIA appears to have limited use in predicting FFM in the first few weeks of life compared with simple anthropometry in Asian populations. There is a need for population- and age-appropriate FFM prediction equations. |
| Databáze: | OpenAIRE |
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