Índice de masa corporal, peso ideal y porcentaje de grasacorporal en personas de diferentes grupos etarios / Body mass index, ideal weight and percentage of body fat inpeople of different age groups

El objetivo es comparar el IMC con el porcentaje de grasa corporal y el peso ideal, para complementar el IMC en el diagnóstico de obesidad, de un grupo de adultos. Métodos: estudio descriptivo, transversal, prospectivo y correlacional, en una muestra de 797 adultos con edad entre 17 y 96 años, atendidos en diferentes centros clínicos de Caracas, entre 2015 y 2018. Las variables son: edad, peso, talla y se calcularon el IMC, porcentaje de grasa corporal (PGC) y peso ideal (PI). Se clasificaron por sexo, grupo etáreo y según el IMC en normalidad y obesidad. Se utilizaron dos fórmulas para el PGC: Deurenberg y Regresión; y tres fórmulas para PI: Lorenz, Ramírez et al y Broca. Se obtuvieron medidas descriptivas, asociación, correlación, comparación de promedios y prueba de normalidad, mediante el soware Excel, Epidat.2. Resultados: Promedios de IMC y PGC aumentan hasta los 40 años y disminuye hasta los 79 años, las variables Talla ­ PI Broca, e IMC- PGCR correlacionan bien (r>0,75). Los promedios del IMC, PGCD, PGCR, PI Broca y PI Lorenz, según sexo, son significativos (p<0,000); para el IMC, en Normalidad y Obesidad, los promedios de peso, IMC, PGCD y PGCR son mayores en grupo de Obesidad, y significativos (p<0,000). La prueba de normalidad Shapiro-Francia comprobó que la distribución del IMC, PGCD, PGCR y PI Lorenz, provienen de una población distribuida normalmente (p< 0,000). Conclusiones: el IMC aun cuando es utilizado más frecuentemente para diagnosticar obesidad, clasifica con normalidad, a quienes tienen un alto porcentaje de grasa corporal(AU)

The objective is to compare BMI with the percentage of body fat and ideal weight, to supplement BMI in the diagnosis of obesity, from a group of adults. METHODS: descriptive, cross-cutting, prospective and correlational study, in a sample of 797 adults between 17 and 96 years old, attended in different clinical centers of Caracas, between 2015 and 2018. the variables are: age, weight, size and BMI was calculated, percentage of body fat (BFP) and ideal weight (IW). they were classified by sex, age group and BMI in normality and obesity. Two formulas were used for BFP: Deurenberg and Regression; and three formulas for IW: Lorenz, Ramirez-Lopez et al and Broca. Descriptive measures, association, correlation, average comparison and normality test were obtained, using Excel software, Epidat.2. RESULT: BMI and BFP averages increase to 40 years and decrease to age 79, the variables Size ­ IW Broca, and BMI- BFPR correlate well (r>0.75). e average BMI, BFPD, BFPR, IW Broca and IW Lorenz, depending on gender, are significant (p<0.000); for BMI, in Normality and Obesity, the weight averages, BMI, BFPD and BFPR are higher in the Obesity group, and significant (p<0,000). the Shapiro-France normality test found that the distribution of BMI, BFPD, BFPR and IW Lorenz, comes from a normally distributed population (p< 0.000). CONCLUSIONS: BMI even though it is most commonly used to diagnose obesity, it classifies normally, those with a high percentage of body fat(AU)

Deterministic economic analysis of feedlot Red Angus young steers: slaughter weights and bonus / Análise econômica determinística do confinamento de novilhos Red Angus superjovens: pesos de abate e bonificações

The joint analysis of indicators of the investment project is very relevant in making decisions, resulting in more consistent information regarding risk assessment and its confrontation with the possibility of return. This research aimed to evaluate the economic feasibility of Red Angus young steers finished in feedlot, slaughtered at 340, 373, 396 or 430kg with use of various financial indicators, marketed with or without bonus. The purchase of feeder cattle and feeding were variable costs with a higher share in the total cost. In the analysis with bonus, the regression analysis to gross margin, net margin, net present value, benefit:cost index and additional return on investment showed quadratic behavior, with the point of maximum at 406kg (R$ 185.17), 406kg (R$ 161.76) , 393kg (R$ 128.29), 392kg (1.12), 392kg (11.98%), respectively. In the analysis without bonus, gross margin and net margin showed a quadratic response (346kg, with R$ 110.31 and R$ 86.90, respectively), while for the other indicators, there was a linear reduction as an increase in slaughter weight.

A análise conjunta de indicadores do projeto de investimento é muito relevante na tomada de decisões, resultando em informações mais consistentes da avaliação do risco e seu confronto com a possibilidade de retorno. Este trabalho teve como objetivo avaliar a viabilidade econômica da terminação de novilhos Red Angus superjovens em confinamento, abatidos com 340, 373, 396 ou 430kg, com uso de diversos indicadores financeiros, comercializados com ou sem bonificação. A compra dos bois magros e a dieta foram os custos variáveis ​​com maior participação no custo total. Na análise com bonificação, a análise de regressão para margem bruta, margem líquida, valor presente líquido, índice benefício:custo e retorno adicional sobre o investimento demonstrou comportamento quadrático, com ponto de máxima aos 406kg (R$ 185,17), 406kg (R$ 161,76), 393kg (R$ 128,29), 392kg (1,12), 392kg (11,98%), respectivamente. Na análise sem bonificação, margem bruta e margem líquida apresentaram comportamento quadrático (346kg, sendo de R$ 110,31 e R$ 86,90, respectivamente), enquanto que, para os demais indicadores, houve redução linear, conforme aumento no peso de abate.