Objective: To measure the accuracy of predictive equations of resting metabolic rate (RMR) in obese teenagers in relation to indirect calorimetry (IC). Methods: This study was conducted with 116 obese teenagers (60 males; 13.7±1.1 years). The RMR was calculated from Harris and Benedict, Schofield, WHO, Henry and Rees equations. The RMR was measured by the QUARK-RMR system. The comparison between predictive equations and IC was by the Student's t test. The reliability of data between predictive equations and IC was verified by the typical error of measurement (TEM) and the coefficient of variation (CV%). Results: Henry's equation was significantly different from IC (p<0.02). The CV% found for each equations compared to IC turned was low. However, when the TEM was measured it was considered high in absolute values which can cause errors when estimating the RMR. Therefore, it is important that specific predictive equations are developed for Brazilian obese teenagers.

Objetivo: Medir la precisión de las ecuaciones predictivas de la tasa metabólica de reposo (TMR) en los adolescentes obesos en relación con la calorimetría indirecta (CI). Métodos: El estudio se realizó en 116 adolescentes obesos (60 niños, 13,7 ± 1,1 años). La TMR se calculó a partir de las ecuaciones predictivas de Harris y Benedict, Schofield, OMS, Henry y Rees. La TMR se midió por el sistema de QUARK-TMR. La comparación entre las ecuaciones de predicción y IC se realizó mediante el test t de Student. La fiabilidad de los datos entre IC y ecuaciones de predicción fue verificada por el error típico de la medición (TEM) y el coeficiente de variación (CV%). Resultados: La ecuación de Henry fue significativamente diferente de IC (p <0,02). El CV% encontrado para cada ecuación en comparación con IC fue bajo; no obstante, cuando se midió el TEM, este fue considerado alto en valores absolutos que puede provocar errores al estimar la TMR. Por lo tanto, es importante que ecuaciones de predicción específicas sean desarrolladas para adolescentes obesos brasileños.

OBJETIVO: Analisar associações entre dois domínios da atividade física de lazer e hábitos alimentares em adolescentes. MÉTODOS: A amostra foi composta por 1.630 adolescentes (46% do gênero masculino e 54% do gênero feminino). O nível de atividade física, o tempo de televisão (TV) e os comportamentos alimentares foram avaliados por entrevista, e, de acordo com o resultado da avaliação, os adolescentes foram classificados como fisicamente ativos, espectadores assíduos de TV, e engajados em dietas não saudáveis/saudáveis. RESULTADOS: Os adolescentes do gênero masculino foram mais ativos do que as do feminino (21,7 e 9,4%, respectivamente; p = 0,001), ao passo que o hábito de assistir TV foi mais frequente entre as meninas (44,0 e 29,2%; p = 0,001). Práticas de atividades físicas foram associadas com maior consumo de frutas (OR = 1,90; IC95% 1,39-2,60) e vegetais (OR = 1,48; IC95% 1,09-2,01), ao passo que o maior consumo de frituras (OR = 2,13; IC95% 1,64-2,77) e salgadinhos (OR = 1,91; IC95% 1,49-2,45) esteve associado ao hábito de assistir TV. CONCLUSÃO: Este estudo epidemiológico apresenta informações indicando que os comportamentos ativo e inativo estiveram diferente e independentemente associados aos hábitos alimentares saudáveis e não saudáveis.

OBJECTIVE: To analyze associations between two physical activity domains during leisure time and different food habits in adolescents. METHODS: The sample comprised 1,630 adolescents (46% male and 54% female). Physical activity level, television (TV) viewing, and eating behaviors were assessed through an interview. According to the results of the assessment, adolescents were classified as physically active or engaged in high amounts of TV viewing and unhealthy/healthy diets. RESULTS: Male adolescents were more active than females (21.7 and 9.4%, respectively; p = 0.001), while TV viewing was more frequent in females (44.0 and 29.2%; p = 0.001). Physical activity level was related to higher consumption of fruits (OR = 1.90; 95%CI 1.39-2.60) and vegetables (OR = 1.48; 95%CI 1.09-2.01), while higher consumption of fried foods (OR = 2.13; 95%CI 1.64-2.77) and snacks (OR = 1.91; 95%CI 1.49-2.45) was associated with TV viewing. CONCLUSION: This study presented epidemiological information indicating that active and inactive behaviors were differently and independently associated with healthy and unhealthy diets.

Background: Television viewing (TV viewing) is an important indicator of physical inactivity. Aim: To analyze the prevalence of different leisure time behaviors and TV viewing among healthy adults and their association with overweight. Material and Methods: Cross sectional survey in which 1061 females and 925 males aged 30 years old or more, answered a self administered questionnaire about physical activity Respondents were classified according to frequency participation in sports, walking, cycling and TV viewing. Body mass index (BMI) was derived from self reported weight and height. Results: Less than 30% of individuals participated regularly in sports and less than 15 and 5% reported a high frequency of walking and cycling, respectively. Subjects regularly engaged in sports had a lower BMI. After adjustments, low cycling frequency and high TV viewing were associated with overweight in men and women, respectively. Conclusions: The prevalence of physical inactivity during leisure time is high among Brazilian adults and associated to obesity.

Ver televisión tiene una estrecha asociación con sedentarismo. Objetivo: Evaluar las actividades de tiempo libre de adultos sanos y el hábito de ver televisión y su asociación con sobrepeso. Material y Métodos: Estudio de corte transversal en el cual 1.061 mujeres y 925 hombres de 30 años de edad y mas contestaron una encuesta auto administrada acerca de actividad física en tiempo libre. Los sujetos fueron clasificados de acuerdo a la frecuencia con que practicaban deportes, caminaban, andaban en bicicleta y veían televisión. El índice de masa corporal (IMC) se calculó utilizando el peso y talla que los sujetos informaron tener. Resultados: Menos del 30% de los individuos practicaban deportes regularmente y menos del 15 y 5% informaron caminar o andar en bicicleta frecuentemente. Los individuos que practicaban deportes en forma regular tenían un IMC menor. Después de ajusfar los datos, una baja frecuencia de ciclismo y una alta frecuencia de ver televisión, se asociaron con sobrepeso en hombres y mujeres, respectivamente. Conclusiones: Existe una asociación entre falta de actividad física recreativa y sobrepeso en este grupo de adultos.