: To obtain bioelectrical data to assess nutritional status for extremely low-birth-weight (ELBW) infants upon reaching term-corrected age. : A descriptive, observational, prospective, and single-center study, which included ELBW preterm infants was performed. The study variables collected were gestational age, sex, and anthropometry at birth and at term-corrected age. Bioelectrical impedance vector analysis (BIVA) was performed by a phase-sensitive device (BIA 101 BIVA PRO AKERN srl, Pisa, Italy). The components of the impedance vector-resistance (R) and reactance (Xc)-were normalized for body height (H). For each subject, the measurement was taken between the 36th and 44th weeks of postmenstrual age (PMA). A semi-quantitative analysis of body composition was performed using the vector modality of the BIA. Using the RXc graph method, the bivariate 95% confidence intervals of the mean vectors were constructed. From the bivariate normal distribution of R/H and Xc/H, the bivariate 95%, 75%, and 50% tolerance intervals for this cohort were drawn. The individual impedance vectors were compared with the distribution of the vectors from other populations. : 85 ELBW infants (40 male, 45 female) were included, with a mean gestational age at birth of 26 + 6 weeks (±1.76). Mean R/H was 870.33 (±143.21) Ohm/m and Xc/H was 86.84 (±19.05) Ohm/m. We found differences in the bioelectrical data with regard to gender, with resistance values being significantly higher in females. Our ellipses align closely with those from other term neonatal cohorts. : Bioelectrical data and the confidence and tolerance ellipses of an ELBW infant cohort are presented and can be used as a reference standard for nutritional assessment at discharge.
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http://dx.doi.org/10.3390/nu16244348 | DOI Listing |
Cien Saude Colet
December 2024
Departamento de Medicina Preventiva, Universidade Federal de São Paulo. São Paulo SP Brasil.
This study aimed to evaluate the body composition of the Khisêdjê, an Indigenous people residing in the Xingu Indigenous Territory, and compare it to the results obtained by anthropometry. One hundred seventy-nine individuals aged above 20 of both genders were included. The nutritional status was classified per the cutoff proposed by the WHO (1995).
View Article and Find Full Text PDFNutrients
December 2024
Aladina-MGU-Regional Human Milk Bank, 12 de Octubre University Hospital, 28041 Madrid, Spain.
: To obtain bioelectrical data to assess nutritional status for extremely low-birth-weight (ELBW) infants upon reaching term-corrected age. : A descriptive, observational, prospective, and single-center study, which included ELBW preterm infants was performed. The study variables collected were gestational age, sex, and anthropometry at birth and at term-corrected age.
View Article and Find Full Text PDFPediatr Pulmonol
January 2025
Pulmonary and Sleep Medicine, DeVos Children's Hospital, Grand Rapids, Michigan, USA.
Objective: We prospectively monitored rates of change for growth, body mass and composition, muscle strength, and FEV1 in 6-11-year-olds initiating ETI therapy, comparing them to those of US reference children. We assessed factors potentially contributing to rate of change and report ranges of individual variation.
Methods: Body composition was assessed using bioelectrical impedance analysis (BIA), and rates of change were analyzed using linear mixed effects regression models.
Cureus
December 2024
Pediatrics, Assiut University, Assiut, EGY.
Background Feeding and growth during infancy have been associated with later life body mass index and early excessive weight gain is associated with obesity later on. This study aimed to assess the effect of feeding in the first two years of life on the body composition of children at the preschool age and detect the importance of using bioelectrical impedance (BIA) analysis in identifying individuals at risk of overweight and obesity. Methods A cross-sectional study included 160 children.
View Article and Find Full Text PDFStress
December 2025
Metabolic & Applied Physiology Laboratory, Department of Health & Human Performance, Texas State University, San Marcos, TX, USA.
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