Flaxseed energy and macronutrients balance / Influencia de la energía de la linaza en el equilibrio de macronutrientes

Background/objectives: Flaxseed has functional properties in the reduction of the risk of chronic non-communicable diseases such as cardiovascular disease, diabetes and cancer. Regardless of its high energy density, the consumption of flaxseed tends to promote body weight maintenance. The purpose of this study was to evaluate energy and macronutrient balance after flaxseed consumption. Subjects/methods: Twenty four healthy volunteers were allocated into 3 experimental groups, when they consumed flaxseed (FS), defatted flaxseed flour (FF), or flaxseed oil (FO). During the control period they were provided a diet without flaxseed products for 7-9 days. Following that diets containing 70 g of one of the flaxseed products were consumed for another 7-9 day- period. Test foods were consumed exclusively in the laboratory and fecal excretion was collected during the study. There was a higher energy excretion (P < 0.05) in the FF and FS groups, compared to their control and FO group. Results: The excretions of total lipid and the PUFA α-linolenic acid were higher in FS group (P < 0.05). Conclusions: The intake of 70 g/day of FS and FF raised lipid and energy excretion, which may mitigated the effect of flaxseed consumption on body weight (AU)

Introducción/objetivos: La linaza tiene propiedades funcionales en la reducción del riesgo de enfermedades crónicas no transmisibles tales como las enfermedades cardiovasculares, diabetes y cáncer. A pesar de su alta densidad de energía, el consumo de linaza tiende a favorecer el mantenimiento del peso corporal. El propósito de este estudio fue evaluar la energía y el equilibrio de macronutrientes después del consumo de linaza. Materiales y métodos: Veinticuatro voluntarios sanos fueron distribuidos en 3 grupos experimentales, cuando consumieron linaza (LI), harina de linaza desgrasada (LD), o aceite de linaza (AL). Durante el período de control se les proporcionó una dieta de 7-9 días sin productos de linaza. Enseguida, durante otro período de 7-9 días, fueron consumidas dietas que contenían 70g de uno de los productos de linaza. Los alimentos de prueba fueron consumidos exclusivamente en el laboratorio y la excreción fecal se recogió durante el estudio. Hubo una excreción de energía más alta (P < 0,05) en los grupos LD y LI, en comparación con el grupo de control y el AL. Resultados: Las excreciones de los lípidos totales y el ácido graso α-linolénico, AGPI, fueron mayores en el grupo LI (P < 0,05). Conclusiones: La ingesta de 70 g/día de LI y LD aumentó la excreción de lípidos y energía, lo que puede haber mitigado el efecto del consumo de linaza en el peso corporal (AU)

Flaxseed energy and macronutrients balance.

BACKGROUND/OBJECTIVES: Flaxseed has functional properties in the reduction of the risk of chronic non-communicable diseases such as cardiovascular disease, diabetes and cancer. Regardless of its high energy density, the consumption of flaxseed tends to promote body weight maintenance. The purpose of this study was to evaluate energy and macronutrient balance after flaxseed consumption. SUBJECTS/METHODS: Twenty four healthy volunteers were allocated into 3 experimental groups, when they consumed flaxseed (FS), defatted flaxseed flour (FF), or flaxseed oil (FO). During the control period they were provided a diet without flaxseed products for 7-9 days. Following that diets containing 70 g of one of the flaxseed products were consumed for another 7-9 day- period. Test foods were consumed exclusively in the laboratory and fecal excretion was collected during the study. There was a higher energy excretion (P < 0.05) in the FF and FS groups, compared to their control and FO group. RESULTS: The excretions of total lipid and the PUFA α-linolenic acid were higher in FS group (P < 0.05). CONCLUSIONS: The intake of 70 g/day of FS and FF raised lipid and energy excretion, which may mitigated the effect of flaxseed consumption on body weight.

Gasto energético de adultos brasileños saludables: una comparación de métodos / Energy expenditure of healthy brazilian adults: A comparison of methods

Hay diversos métodos disponibles para medir el consumo de energía en el ser humano. Debido al alto costo y pequeño número de laboratorios capaces de utilizar la calorimetría directa y la técnica del agua doblemente marcada, se ha realizado un número relativamente pequeño de mediciones del gasto energético utilizándose estos métodos. Así, cada día más, los investigadores se atienen en alto grado a los métodos de calorimetría indirecta (CI) y bioimpedancia eléctrica (BIA) y los clínicos a las ecuaciones de predicción para calcular los requerimientos de energía total en sus estudios y pacientes respectivamente. Objetivo: Evaluar el Gasto Energético Basal (GEB) y el Gasto Energético Total (GET) de individuos saludables comparando los resultados de CI, BIA y ecuaciones predictivas con los de requerimiento estimado de energía (EER), Fleisch, FAO/WHO/UNU 1985 y 2001. Material y métodos: Se evaluó el gasto energético en 81 individuos de ambos sexos por CI y BIA. De estos, fueron calculados el GEB por las ecuaciones FAO/WHO/UNU 1985 y 2001 y el GET por EER, Fleisch y FAO/WHO/UNU 1985 y 2001. Los datos se analizaron con el programa Sigma Stat for Windows versión 2.03 y se utilizó eltest de Dunn's para la comparación de las medianas obtenidas por los métodos y ecuaciones (p < 0,05). Resultados: Se verificó que el 60,5% de los participantes eran hombres. Los individuos en su mayoría eran eutróficos. La BIA mostró diferencias significativas entre los sexos. Las medianas de GEB, obtenidas por BIA y CI, presentaron diferencias estadísticamente significativas solamente para mujeres (p < 0,05) con una subestimación de los resultados del GEB obtenidos por la BIA en relación a los obtenidos por CI. Diferencias significativas fueron encontradas entre las fórmulas predictivas y la CI para ambos sexos, demostrando también una subestimación de esas en relación a la CI. Se observó una sobreestimación de GET con las fórmulas predictivas de la FAO/WHO/UNU/85 y 2001 en relación a la EER y Fleisch, para ambos sexos. Conclusión: La estimación del GEB puede ser realizada tanto por BIA como por CI, pero la BIA debe ser usada con criterios, ya que subestima de forma significativa para mujeres. En relación a las ecuaciones predictivas se puede observar que la sobreestimación puede desarrollar un balance energético positivo en poblaciones con riesgos para el sobrepeso y obesidad. Así son necesarias comparaciones para identificar las limitaciones de cada método (AU)

There are many available methods to measure the human energy consumption. Due to the high cost and small number of laboratories able to perform it, the direct calorimetry and doubly labeled water technique are rarely used to measure the energy expenditure. As consequence, there is an increase use of the indirect calorimetry and bioelectrical impedance analysis methods by researchers and predictive equations by physicians to calculate the total energy requirements in research and in clinic. Objective: To evaluate the basal energy expenditure (GEB) and total energy expenditure (GET) of healthy subjects comparing results of indirect calorimetry (CI), bioelectrical impedance analysis (BIA) and predictive equations such as estimated energy requirements (EER), Fleish, FAO/WHO/UNU 1985 and 2001. Material and methods: It was evaluated the energy expenditure in 81 subjects of both gender by CI and BIA. Of these, the GEB by predictive equations FAO/WHO/UNU 1985 and 2001 and the GET by EER, Fleisch and FAO/WHO/UNU 1985 and 2001 were calculated. The data was analyzed with the software Sigma Stat for Windows version 2.03 and Dunn's test was used for comparison of mean obtained with methods and equations (p < 0.05). Results: It was verified that 60.5% of the participants were men. The majority of subjects were eutrofic. BIA showed significant differences between men and women. The differences between the values of GEB, obtained by BIA and CI, were statistically significant only for women (p < 0.05) with an underestimation of the GEB results obtained by BIA in relation to those obtained by CI. Significant difference was found between the predictive equations and CI for both sexes, also demonstrating an underestimation of the equations in relation to CI. It was observed an overestimation of GET with the predictive equations of FAO/WHO/UNU/85 and 2001 in relation to EER and Fleisch for both sexes. Conclusion: The estimation of GEB can be carried out by both BIA and CI, although BIA must be used with criteria since it underestimates in a significant way for women. In relation to the predictive equations, overestimation can develop positive energy balance in populations with risks for overweight and obesity. Thus, it is necessary comparisons to identify the limitations of each method (AU)

[Energy expenditure of healthy Brazilian adults: a comparison of methods]. / Gasto energético de adultos brasileños saludables: una comparación de métodos.

UNLABELLED: There are many available methods to measure the human energy consumption. Due to the high cost and small number of laboratories able to perform it, the direct calorimetry and doubly labeled water technique are rarely used to measure the energy expenditure. As consequence, there is an increase use of the indirect calorimetry and bioelectrical impedance analysis methods by researchers and predictive equations by physicians to calculate the total energy requirements in research and in clinic. OBJECTIVE: To evaluate the basal energy expenditure (GEB) and total energy expenditure (GET) of healthy subjects comparing results of indirect calorimetry (CI), bioelectrical impedance analysis (BIA) and predictive equations such as estimated energy requirements (EER), Fleish, FAO/WHO/UNU 1985 and 2001. MATERIAL AND METHODS: It was evaluated the energy expenditure in 81 subjects of both gender by CI and BIA. Of these, the GEB by predictive equations FAO/WHO/UNU 1985 and 2001 and the GET by EER, Fleisch and FAO/WHO/UNU 1985 and 2001 were calculated. The data was analyzed with the software Sigma Stat for Windows version 2.03 and Dunn's test was used for comparison of mean obtained with methods and equations (p < 0.05). RESULTS: It was verified that 60.5% of the participants were men. The majority of subjects were eutrofic. BIA showed significant differences between men and women. The differences between the values of GEB, obtained by BIA and CI, were statistically significant only for women (p < 0.05) with an underestimation of the GEB results obtained by BIA in relation to those obtained by CI. Significant difference was found between the predictive equations and CI for both sexes, also demonstrating an underestimation of the equations in relation to CI. It was observed an overestimation of GET with the predictive equations of FAO/WHO/UNU/85 and 2001 in relation to EER and Fleisch for both sexes. CONCLUSION: The estimation of GEB can be carried out by both BIA and CI, although BIA must be used with criteria since it underestimates in a significant way for women. In relation to the predictive equations, overestimation can develop positive energy balance in populations with risks for overweight and obesity. Thus, it is necessary comparisons to identify the limitations of each method.