Aplicabilidad de la superficie corporal e índicesantropométricos para valorar el tamaño corporal en adolescentes que viven a gran altitud / Applicability of body surface area and anthropometric indices to assess bodysize in adolescents living at high altitude

Introducción: Los índices antropométricos se utilizan para evaluar el estado de salud general, la adecuación nutricional y el patrón de crecimiento físico. Objetivo: Verificar la capacidad de estimar adecuadamente el tamaño corporal por medio de la superficie corporal (SC), Índice de masa corporal (IMC) e índice tri-ponderal (ITP) por edad cronológica (EC) y estado de madurez (EM) en adolescentes que viven a gran altitud del Perú. Métodos: Se efectuó un estudio descriptivo (correlacional) en adolescentes de 10 a 14 años. Fueron reclutados 3.088 escolares. Se evaluó el peso, estatura, se calculó la SC por la fórmula de Dobois y Dubois, el IMC y el ITP. Resultados: En ambos sexos el poder de determinación entre SC con EC, EM, peso y estatura fueron altos (hombres: r2= 0,31 a 0,89% y mujeres: r2= 0,36 a 0,94%). En los hombres, las relaciones entre IMC con EC, EM, y estatura fueron nulas (r2= 0.01 a 0.05%), excepto con el peso (r2= 0.70%), mientras que, en las mujeres, las relaciones fueron bajas con la EC, EM y estatura (r2= 0,11 a 0,24%), excepto en el peso (r2=0,805). Con el ITP, las relaciones con la EC, EM y estatura fueron nulas en ambos sexos (hombres: r2= 0,02 a 0,03% y mujeres: r2= 0,00 a 0,07%), excepto con el peso, donde explica r2= 0,33% en hombres y 0,48% en mujeres. No hubo diferencias cuando se comparó entre hombres y mujeres por EC (11, 12 y 13 años), excepto a los 10 y 14 años. Conclusión: Se verificó que la SC se correlacionó significativamente con la EC, EM, peso y estatura en relación al IMC e IP. Estos resultados sugieren que la SC podría ser un mejor indicador para evaluar y monitorizar el tamaño corporal en adolescentes que viven a elevada altitud.(AU)

Introduction: Anthropometric indices are used to assessgeneral health status, nutritional adequacy and physicalgrowth pattern. Objective: To verify the ability to adequately estimatebody size by body surface area (BS), body mass index (BMI) and tri-ponderal index (TPI) by chronological age (CE) andmaturity status (MS) in adolescents living at high altitude inPeru. Methods: A descriptive (correlational) study was carriedout in adolescents aged 10 to 14 years. A total of 3,088schoolchildren were recruited. Weight, height, BF, BMI andITP were evaluated and calculated by the Dobois and Duboisformula. Results: In both sexes the power of determination betweenCS with CE, MS, weight and height were high (males: r2=0.31 to 0.89% and females: r2= 0.36 to 0.94%). In men, therelationships between BMI with CD, MS, and height were null(r2= 0.01 to 0.05%), except with weight (r2= 0.70%),whereas, in women, the relationships were low with CD, MS,and height (r2= 0.11 to 0.24%), except for weight(r2=0.805). With ITP, the relationships with CD, MS andheight were null in both sexes (men: r2= 0.02 to 0.03% andwomen: r2= 0.00 to 0.07%), except with weight, where it ex-plains r2= 0.33% in men and 0.48% in women. There wereno differences when comparing males and females by CE (11,12 and 13 years), except at 10 and 14 years. Conclusion: It was verified that CS was significantly cor-related with CD, MS, weight and height in relation to BMI andPI. These results suggest that CS could be a better indicatorto assess and monitor body size in adolescents living at highaltitude.(AU)

Physical growth and body adiposity patterns in children and adolescents at high altitudes in Peru: Proposed percentiles for assessment.

OBJECTIVES: This study's purpose was to compare physical growth (PG) patterns of children and adolescents living at high elevations with those of other geographic regions, relate body adiposity indicators, and develop percentile reference tables for assessing physical growth and body adiposity. METHODS: The sample included 1536 children and adolescents ages 5.0 to 17.9 years from Puno (Peru) located between 3821 and 4349 m above sea level. Weight, height, arm and waist circumferences (WC), and three skinfolds measurements were recorded. Body mass index (BMI) and waist-height Index (WHI) were calculated. RESULTS: PG patterns for children living at a high altitude reflected similar values for weight, height, and arm circumference (AC) to those of their counterparts living in Puno (Peru) and La Paz (Bolivia). When compared with children living at moderate altitudes in Peru, they showed slightly lower PG values. BMI explained between 41% and 64% of the variance in sum of the skinfolds, while WC explained between 47% and 66%. HWI was not a strong predictor of variation in sum of skinfolds. Percentiles were generated for WC and the sum of skinfolds. CONCLUSION: Weight, height, and, arm and waist circumference patterns for children and adolescents living at high altitudes were similar to those of La Paz (Bolivia). WC and the sum of the skinfolds were better indicators for analyzing abdominal obesity compared to BMI and WHI. The percentiles proposed may be a useful tool for identifying high risk of developing overweight disorders in pediatric populations living at high altitudes.

Validez, confiabilidad y percentiles para valorar el auto-concepto físico de jóvenes universitarios de Perú / Validity, reliability and percentiles to assess the physical self-concept of young university students in Peru

Fundamentos: Verificar la validez y confiabilidad de la escala de auto-concepto físico (ACF) y proponer referencias por medio de percentiles. Métodos: Se estudió 1.937 jóvenes universitarios (1.064 hombres y 873 mujeres) de la ciudad de Puno, Perú. Se evaluó el peso y estatura y se calculó el índice de Masa Corporal (IMC) de los universitarios. Se utilizó la técnica de la encuesta aplicando una escala de ACF de 30 preguntas. La validación se efectuó por medio de Análisis Factorial Confirmatorio (A-FC). La confiabilidad de verificó por medio de Alpha de Cronbach. Se generaron percentiles por medio del método LMS. Resultados: El A-FC arrojó saturaciones superiores a 0,41 para 29 preguntas. En el modelo generado con 29 preguntas, el porcentaje de explicación de la varianza fue del 42%, el KMO fue de 0,911 (X2= 15578.883, gl= 435, p<0,001). El alpha de Cronbach mostró valores superiores a 0,75. Los percentiles propuestos permiten categorizar el ACF en tres niveles: p85 (alto ACF).Conclusiones: La escala de ACF es válida y confiable para jóvenes universitarios. Los percentiles son una alternativa para identificar, clasificar y categorizar los niveles de ACF

Background: To verify the validity and reliability of the physical self-concept scale (CFA) and to propose references by means of percentiles. Methods: 1937 university students(1064 men and 873 women) from the city of Puno, Peru, were studied. The weight and height were evaluated and the Body Mass Index (BMI) was calculated. The survey technique was used applying an ACF scale of 30 questions. Validation was carried out through Confirmatory Factor Analysis (CF-A). The reliability of verified by means of Alpha de Cronbach. Percentiles were generated by means of the LMS method. Results: The CF-A showed saturations higher than 0.41 for 29 questions. In the model generated with 29 questions, the percentage explanation of the variance was 42%, the KMO was 0.911 (X2 = 15578.883, gl = 435, p <0.001). Cronbach's alpha showed values above 0.75. The proposed percentiles allow categorizing the ACF into three levels: p85 (high ACF). Conclusions: The ACF scale is valid and reliable for university students. The percentiles are an alternative to identify, classify and categorize the ACF levels