Using LMS tables to determine waist circumference and waist-to-height ratios in Colombian children and adolescents: the FUPRECOL study
Metadatos
Afficher la notice complèteAuteur
Ramírez-Vélez, Robinson; Moreno Jiménez, Javier; Correa Bautista, Jorge Enrique; Martínez Torres, Javier; González-Ruiz, Katherine; González Jiménez, Emilio; Schmidt Río Valle, Jacqueline; Lobelo, Felipe; García-Hermoso, AntonioEditorial
Biomed Central
Materia
Central obesity Reference values Anthropometric indices
Date
2017Referencia bibliográfica
Ramírez-Vélez, R.; et al. Using LMS tables to determine waist circumference and waist-to-height ratios in Colombian children and adolescents: the FUPRECOL study. BMC Pediatrics. 17: 162 (2017). [http://hdl.handle.net/10481/49670]
Patrocinador
The FUPRECOL Study was carried out with financial support from Instituto Colombiano para el Desarrollo de la Ciencia y la Tecnología “Francisco José de Caldas” COLCIENCIAS (Contract N° 671–2014 Code 122265743978).Résumé
Background: Waist circumference (WC) and waist-to-height ratio (WHtR) are often used as indices predictive of
central obesity. The aims of this study were: 1) to obtain smoothed centile charts and LMS tables for WC and WHtR
among Colombian children and adolescents; 2) to evaluate the utility of these parameters as predictors of
overweight and obesity.
Method: A cross-sectional study was conducted of a sample population of 7954 healthy Colombian schoolchildren
[3460 boys and 4494 girls, mean age 12.8 (±2.3) years]. Weight, height, body mass index (BMI), WC and WHtR were
measured, and percentiles were calculated using the LMS method (Box-Cox, median and coefficient of variation).
Appropriate cut-off points of WC and WHtR for overweight and obesity, according to International Obesity Task
Force definitions, were selected using receiver operating characteristic (ROC) analysis. The discriminating power of
WC and WHtR is expressed as area under the curve (AUC).
Results: Reference values for WC and WHtR are presented. Mean WC increased and WHtR decreased with age for
both genders. A moderate positive correlation was observed between WC and BMI (r = 0.756, P < 0.01) and
between WHtR and BMI (r = 0.604, P < 0.01). ROC analysis revealed strong discrimination power in the identification
of overweight and obesity for both measures in our sample population. Overall, WHtR was a slightly better
predictor of overweight/obesity (AUC 95% CI 0.868–0.916) than WC (AUC 95% CI 0.862–0.904).
Conclusion: This paper presents the first sex and age-specific WC and WHtR percentiles for Colombian children
and adolescents aged 9.0–17.9 years. The LMS tables obtained, based on Colombian reference data, can be used as
quantitative tools for the study of obesity and its comorbidities.