Related Experiment Videos
Anthropometric body fat composition reference values in Spanish adolescents. The AVENA Study
L A Moreno1, M I Mesana, M González-Gross
1EU Ciencias de la Salud, Universidad de Zaragoza, Spain. lmoreno@unizar.es
European Journal of Clinical Nutrition
|October 20, 2005
Summary
This study establishes reference values for body mass index (BMI), skinfolds, and body fat percentage in Spanish adolescents. These findings aid in assessing adiposity levels and identifying nutritional status in this population.
Area of Science:
- Pediatric Endocrinology
- Nutritional Science
- Public Health
Background:
- The AVENA Study (Food and Assessment of the Nutritional Status of Adolescents) is a significant initiative in Spain.
- Establishing normative data for anthropometric measurements is crucial for adolescent health assessment.
Purpose of the Study:
- To determine reference values for body mass index (BMI), sum of six skinfolds (sigma6 skinfolds), and body fat percentage (BF%) in Spanish adolescents aged 13-18 years.
- To provide a basis for classifying Spanish adolescents regarding their adiposity levels.
Main Methods:
- A multicentre cross-sectional study was conducted with a representative sample of Spanish adolescents.
- Anthropometric measurements including weight, height, and six skinfold thicknesses were collected from 2160 adolescents.
- Body mass index (BMI), sigma6 skinfolds, and body fat percentage (BF%) were calculated using established formulas.
Main Results:
- Females exhibited significantly higher sigma6 skinfolds and BF% compared to males across age groups.
- In males, age significantly influenced BMI, sigma6 skinfolds, and BF%; in females, only BF% was significantly affected by age.
- Percentile distributions for sigma6 skinfolds and BF% were more dispersed towards higher values in males than in females.
Conclusions:
- The generated percentile values serve as essential reference data for Spanish adolescents.
- These reference values facilitate the classification of adolescents based on adiposity and the estimation of high or low adiposity prevalence.