Nutritional Assessment and Monitoring of Children

A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrition Methodology & Assessment".

Deadline for manuscript submissions: 15 May 2024 | Viewed by 1116

Special Issue Editors


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Guest Editor
Departamento de Nutrição Social, Universidade Federal Fluminense, Niterói, Brazil
Interests: nutrition assessment; anthropometry; body composition; growth charts; food security; malnutrition; obesity; social inequality

E-Mail Website
Guest Editor
Departamento de Nutrição Social, Universidade Federal Fluminense, Niterói, Brazil
Interests: food security; nutritional assessment; children nutrition; social inequality

Special Issue Information

Dear Colleagues,

In recent decades, assessments of the nutritional status of populations have documented the reduction of undernutrition and the rise in the prevalence of overweight and obesity in most regions of the world. This pattern of nutrition transition was first observed in adults but has since extended to children and adolescents. This new scenario has created new demands and challenged clinicians, epidemiologists, and health officials to develop or adapt the existing assessment methods to cope with it. The current COVID-19 pandemic has made the revision of these procedures an important issue in the policy, public health, clinical, and scientific agendas, particularly due to the rise in food insecurity and undernutrition. As a result, this Special Issue invites original research submissions on the biological, behavioral, and social aspects of nutritional assessment and monitoring in children and adolescents. Contributions may be broad in scope, and possible topics include, but are not limited to, anthropometry and body composition in clinical and survey studies.

Dr. Luiz Antonio Dos Anjos
Dr. Luciene Burlandy Campos De Alcântara
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • nutrition assessment
  • anthropometry
  • body composition
  • growth charts
  • food security
  • malnutrition
  • obesity
  • social inequality

Published Papers (1 paper)

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Research

11 pages, 623 KiB  
Article
One-Year Changes in Bioelectrical Impedance Data in Adolescent Athletes
by Marcus Vinícius de Oliveira Cattem, Camila E. Orsso, Maria Cristina Gonzalez and Josely Correa Koury
Nutrients 2024, 16(5), 701; https://doi.org/10.3390/nu16050701 - 29 Feb 2024
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Abstract
Raw bioelectrical impedance (BI) data and vector analysis (BIVA) have been used to evaluate fat-free mass (FFM) cross-sectionally in adolescent athletes; however, there have been no longitudinal studies about it. This study aimed to assess the magnitude of changes in raw BI data [...] Read more.
Raw bioelectrical impedance (BI) data and vector analysis (BIVA) have been used to evaluate fat-free mass (FFM) cross-sectionally in adolescent athletes; however, there have been no longitudinal studies about it. This study aimed to assess the magnitude of changes in raw BI data (resistance [R], reactance [Xc], and phase angle [PhA]), BIVA, and FFM in adolescent athletes (n = 137, 40% female). BI data were collected using a single-frequency device at baseline and after one year of sports practice. Baseline chronological age categorized the participants (11, 12, or 13 years [y]). In females, Xc/H increased (13 to 14 y, p = 0.04) while R/H decreased in all age groups (p = 0.001). PhA (11 to 12 y, p = 0.048) and FFM (11 to 12 y and 12 to 13 y groups p = 0.001) increased and showed the lowest magnitude of changes in the 13 to 14 y group (p = 0.05). In males, Xc/H decreased (11 to 12 and 12 to 13 y groups, p = 0.001) with a higher magnitude of changes in the 13 to 14 y group (p = 0.004); R/H decreased (p = 0.001); FFM increased in all groups (p = 0.001); however, no magnitude of changes was observed. PhA increased in the 13 to 14 y group (p = 0.004). BIVA showed no differences among ellipse distances in females. In males, a high distance was observed in the 11 to 12 y group. “Time interval” influenced PhA and Xc/H in the female group and R/H and Xc/H in the male group. “Initial age” and “time interval” influenced the increase in PhA in the male group. Raw BI data and BIVA patterns can detect the magnitude of the changes in a sex-dependent manner. Full article
(This article belongs to the Special Issue Nutritional Assessment and Monitoring of Children)
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