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Abstract. Objective: To compare the body fat percentage %BF predicted through the body adiposity index (BAI) BAI in a sample of physically active Mexican college students, using bioelectrical impedance analysis (BIA) as reference method. Methods: 78 volunteered university students (20.67 ± 1.69 yrs.) partake in study considered as highly active; the %BF determined by BIA was performed using Inbody 720; BAI was calculated by anthropometric assessment from hip and height measures calculated as follows: BAI=[hip circumference (cm)/height (m)1.5]–18. Pearson’s correlation coefficient was used to evaluate the association between BAI and %BF assessed by BIA. Results: The correlations of % BF between BIA and the estimated by BAI were r = 0.81, p < 0.001 in man and r = 0.69, p < 0.001 in women. Paired t-test in man showed a significant mean difference in %BF between methods (p = 0.001). The bias of the body adiposity was 5.77± 4.2 % (CI95% = 4.40 to 7.14), indicating that the body adiposity index method measured lower %BF than the bioelectrical impedance. Paired t-test in women did not show significant difference (p = 0.355). Lin’s concordance correlation coefficient was considered poor in man (ρc = 0.49) and women (ρc = 0.63), indicating than BAI underestimating %BF in relation to the BIA. Conclusion: In physically active Mexican college students, BAI presented low agreement with %BF measured by BIA; therefore, BAI is not recommended for %BF prediction in this sample studied. Resumen. Objetivo: Comparar el porcentaje de grasa corporal % BF predicho por el índice de adiposidad corporal (BAI) y el análisis de impedancia bioeléctrica (BIA) en una muestra de estudiantes universitarios Mexicanos físicamente activos. Método: 78 estudiantes universitarios (Edad media= 20,67±1,69 años) voluntarios considerados físicamente activos mediante el cuestionario (IPAQ) participaron en el estudio; Para determinar el %GC con el método de referencia el AIB se realizó con el equipo Inbody 720; el IAC se determinó mediante valoración antropométrica de las medidas circunferencia de cadera y talla calculándose con la fórmula: IAC (%GC)=[circunferencia de cadera (cm)/talla(m)1,5]-18. Resultados: Las correlaciones de Pearson del %GC entre IAC y las estimada por AIB fue de r=0,81, p<0,001 en hombres y r=0.69, p<0.001 en mujeres. La prueba t-Student en hombres mostró diferencias significativas del %GC entre los métodos (p=0,001). El sesgo del %GC fue 5,77±4,2% (IC95%=4,40-7,14), lo que indica que la media del %GC por IAC fue inferior al AIB. La prueba t-Student en mujeres no mostró diferencias significativas (p=0,355). La concordancia del coeficiente de correlación de Lin se consideró pobre en hombres (ρc=0,49) y mujeres (ρc=0,63), indicando que el IAC subestima él %GC en relación con el AIB. Conclusión: En los estudiantes universitarios mexicanos físicamente activos evaluados, el IAC presentó baja concordancia del %GC medido por AIB; por lo anterior, el IAC no se recomienda para predecir el %GC en esta muestra estudiada.

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El propósito del estudio fue describir las características cineantropométricas y la ingesta nutricional de mujeres y hombres costarricenses dedicados al modelaje publicitario. Se realizó un estudio transversal descriptivo con modelos y controles. Se midieron características cineantropométricas y la ingesta de alimentos. Participaron 135 personas, divididas en grupos de modelos (mujeres, n = 35, hombres, n = 18) y controles (mujeres, n = 40, hombres, n = 42). Independientemente del sexo, el porcentaje de grasa corporal fue menor en las personas que se dedican al modelaje que los participantes control (p ≤ .001). Las mujeres modelos tenían un menor índice de conicidad que las mujeres controles (p ≤ .001), y los hombres modelos y los controles tuvieron un índice de conicidad similar (p = .692). El arroz y los frijoles fueron los carbohidratos complejos más comunes en la dieta de los sujetos en general. En comparación con los controles, los modelos presentan una menor frecuencia de consumo de arroz, un mayor consumo de verduras harinosas y cereales integrales, una preferencia por grasas saludables y menor consumo de galletas dulces, repostería y aceite vegetal. En conclusión, las personas que se dedican al modelaje tienen una adiposidad menor e ingieren alimentos en porciones más saludables que quienes no son modelos.Abstract. The purpose of the study was to describe the kinanthropometric characteristics and nutritional intake of female and male Costa Rican advertising models. Models and controls participated in a cross-sectional study. Kinanthropometric characteristics and food intake were measured. This is a cross-sectional study in which models and controls completed questionnaires. Kinanthropometric characteristics and food intake were measured. Participants were 135 subjects divided into groups of models (females, n = 35, males, n = 18) and controls (females, n = 40, males, n = 42). Regardless of gender, body fat percentage was lower in models than in control participants (p ≤ .001). Female models had a lower conicity index than female controls (p ≤ .001), and male models and controls had a similar conicity index (p = .692). Rice and beans were the most common complex carbohydrates in the diet of individuals in general. Compared to controls, the models had a lower frequency consumption of rice, higher starch vegetables and whole grains intake, a preference for healthy fats and lower intake of sweet cookies, pastries and vegetable oil. In conclusion, advertising models had a lower adiposity and their food consumption consisted on healthier portions than their control counterparts.

Measurement of resting metabolic rate (RMR) is an important f actor f or weight management. Previous research has reported several variables to estimate RMR such as body siz e, percent f at (% BF), age, and sex; however, little is known regarding the effect of circumference measures in estimating RMR. PURPOSE: The purpose of this study was to develop a model to estimate RMR using waist circumf erence (WC), an easily obtainable measure, and cross-validate it to previously published models. METHODS:Subjects were 14 0 adult men and women, ages 18-6 5 ye ars. RMR was measured through indirect calorimetry, % BF was measured through air displacement plethysmography, and f at mass and f at-f ree mass were determined f rom % BF and weight. O ther variables collected were: weight, height, age, sex, ethnicity, body mass index, WC, hip circumf erence, waist-to-hip ratio, waist-to-height ratio, and % BF estimated f rom bioelectrical impedance analysis. Subjects were randomly divided into derivation and cross-validation samples. A multiple regression model was developed to determine the most accurate estimation of RMR in the derivation sample. The crossvalidation sample was used to confirm the accuracy of the model and to compare the accuracy to published models. RESULTS:The best predictors f or estimating RMR were body weight, r = 0.7 0, p= 0.031, age, r =-0.30, p= 0.012, and sex, r = 0.5 1, p= 0.018. Other factors failed to account for significant variation in the model. The derived eq ua tion f or estimating RMR is: RMR (kcal/ day) = 8 4 3.1 1 + 8 .7 7 (weight)-4 .23(age) + 228 .5 4 (sex, M = 1, F = 0), R 2 = 0.6 8 , S EE = 17 3 kc al/ day. Cross-validation statistics were: R 2 = 0.54, p ≤0.05, SEE = 199 kcal/day, and total error = 198 kcal/ day. I n published models, R 2 ranged f rom 0.4 7 t o 0.5 7 , S EE ranged f rom 19 2 t o 213 kcal/ day, and total error ranged f rom 212 to 1311 kcal/ day. CONCLUSIONS:Crossvalidation to published models f or estimating RMR were similar to those of the derived model; however, the total error in the derived eq ua tion was lower than any of the previously published models. Several published models considerably overestimate RMR compared to the current model. The results of this study suggest that RMR can be reasonably estimated with easily obtainable measures which allow f or estimation and implementation of RMR f or weight management in clinical practice.