Bioelectrical impedance vector analysis in obese and overweight children

Autor: Mª Alicia Camina-Martín, Laura Alonso-Izquierdo, Mª. Paz Redondo-del-Río, Sandra de-la-Cruz-Marcos, José Manuel Marugán-de-Miguelsanz, Beatriz de-Mateo-Silleras
Rok vydání: 2018
Předmět:
Male
Pediatric Obesity
Intraclass correlation
Cross-sectional study
Physiology
Overweight
Biochemistry
Body Mass Index
Fats
Families
0302 clinical medicine
Electric Impedance
Medicine and Health Sciences
Medicine
030212 general & internal medicine
Child
Children
Multidisciplinary
Anthropometry
Lipids
Physiological Parameters
Ellipses
Physical Sciences
Body Composition
Female
medicine.symptom
Anatomy
Bioelectrical impedance analysis
Research Article
medicine.medical_specialty
Childhood Obesity
Adolescent
Science
Nutritional Status
Geometry
030209 endocrinology & metabolism
Childhood obesity
03 medical and health sciences
Internal medicine
Humans
Obesity
Nutrition
business.industry
Body Weight
Biology and Life Sciences
medicine.disease
Cross-Sectional Studies
Age Groups
People and Places
Population Groupings
business
Body mass index
Mathematics
Zdroj: PLoS ONE
PLoS ONE, Vol 14, Iss 1, p e0211148 (2019)
ISSN: 1932-6203
Popis: Introduction BMI is the most commonly used indicator to evaluate overweight and obesity, but it cannot distinguish changes in body composition. Over recent years, it has been demonstrated that bioelectrical impedance analysis (BIA) is a more accurate method for analyzing body composition. Bioelectrical impedance vector analysis (BIVA) has revealed its effectiveness as an indicator of nutritional status and hydration. Objective To assess the usefulness of bioimpedance analysis on the study of body composition in a group of children with overweight and obesity. Materials and methods Cross-sectional observational study. The anthropometric parameters of 167 (79 were older than 12 years) overweight and obese children were recorded. Their body composition was analyzed using BIA and BIVA, and was classified based on different criteria. Concordance was analyzed (intraclass correlation coefficient, Bland-Altman analysis and weighted Kappa coefficient). The BIVA of the subgroups was compared using the Mahalanobis distance and Hotelling’s T2. Statistical significance was considered for p
Databáze: OpenAIRE
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