The Risk of Eating Disorders in Adolescent Athletes: How We Might Address This Phenomenon?

Eating disorders are psychiatric and behavioral health pathologies of high complexity and different etiology, which can affect age groups, sexes, and ethnicities indistinctly. This study aimed to evaluate the risk of eating disorders and the possible relation with the sports profile of Colombian adolescent athletes. This was an exploratory cross-sectional quantitative study that used an online form designed with a sociodemographic questionnaire and the EAT-26 scale to determine the eating disorder risk of the object population. A total of 354 adolescent athletes participated. There were 182 men and 172 women and the mean age was 15.59 (range: 10-19 years, SD = 1.938). The participants presented a significantly low risk of eating disorders (21.2%) with no differences in prevalence between both sexes. The risk of eating disorder was related to the result of the last competition (p = 0.01), the type of sport (p = 0.032), the years of sports practice (p = 0.004), and the number of training hours a day (p = 0.011). It is relevant to recognize that adolescents and athletes are vulnerable populations regarding eating disorders. In conclusion, adolescent athletes should be the object of special attention to prevent eating disorders and their consequences on health and sports performance.

Estimación de riesgo cardiovascular por mediciones corporales como punto a favor de la atención primaria / Estimation of Cardiovascular Risk Based on Body Measu8rements: A Score Ahead in Primary Care

Introducción: El riesgo cardiovascular es considerado actualmente como uno de los más peligrosos desencadenantes de enfermedades crónicas, ya que es el causante de miles de muertes a nivel mundial. Objetivo: Generar un modelo de regresión logística para una aplicación de escritorio que estime el riesgo cardiovascular por medidas antropométricas y diferentes fórmulas, y así identificar la prevalencia del riesgo cardiovascular en la población objeto de estudio. Métodos: Estudio observacional descriptivo de corte transversal realizado en 169 trabajadores de una institución universitaria del suroccidente colombiano, a los cuales se les tomaron medidas antropométricas de peso, talla y circunferencia de cintura aplicando el protocolo de la Sociedad Internacional de Avances para la Cineantropometría. Además, se aplicó una encuesta estructurada para recolectar datos sociodemográficos. Los datos se analizaron con un paquete estadístico minitab con una descripción univariada para variables cualitativas como frecuencias absolutas y relativas; media y desviación estándar para las cuantitativas. La aplicación de escritorio resultado se realizó con la plataforma JAVA. Resultados: En una población de 93 mujeres y 76 hombres se halló un modelo de regresión logística con las variables cuantitativas predictoras peso y circunferencia de cintura con relación significativa a la variable respuesta riesgo cardiovascular, al igual que la variable cualitativa género. Aplicando el modelo se halló prevalencia de riesgo cardiovascular de 53,85 por ciento en la población laboralmente activa de la institución universitaria. Conclusiones: El riesgo cardiovascular es un fenómeno que cada vez gana más fuerza, y la toma de peso y circunferencia de cintura generan una determinación de este riesgo, hecho que facilitará la prevención y el control de enfermedades cardiovasculares en la atención primaria(AU)

Introduction: Cardiovascular risk is currently considered one of the most dangerous triggers of chronic diseases, as it is the cause of thousands of deaths worldwide. Objective: To create a logistic regression model for a desktop application that estimates cardiovascular risk using anthropometric measures and different formulas, and thus identify the prevalence of cardiovascular risk in the study population. Methods: A descriptive, observational and cross-sectional study was carried out with 169 workers from a university in southwestern Colombia, to whom anthropometric measurements such as weight, height and waist circumference were taken, applying the protocol of the International Society for the Advancement of Kinanthropometry. In addition, a structured survey was applied to collect sociodemographic data. The data were analyzed with a Minitab statistical package, using univariate description for qualitative variables as absolute and relative frequencies, as well as mean and standard deviation for quantitative variables. The resulting desktop application was made with the JAVA platform. Results: In a population of 93 women and 76 men, a logistic regression model was found, using the quantitative predictor variables of weight and waist circumference, significantly related to the cardiovascular risk response variable, as well as the qualitative variable of gender. Applying the model, prevalence of cardiovascular risk was found to be 53.85 percent in the working population of the university institution. Conclusions: Cardiovascular risk is a phenomenon that is gaining more and more strength, while measuring weight and waist circumference is a way for determining such risk, a fact that will facilitate the prevention and control of cardiovascular diseases in the primary care level(AU)

[Relationship between pattern of food consumption and body composition in university students: a cross-sectional study]. / Relación entre el patrón de consumo de alimentos y la composición corporal de estudiantes universitarios: estudio transversal.

INTRODUCTION: Introduction: young university students face a social dynamics that has generated complex lifestyles and, especially, an imbalance in the intake of macro and micronutrients, characterized by having a high caloric density intake, which results in significant excess of weight. It is unknown if these consumption patterns are related to body composition. This research aimed to determine the relationship between pattern of food consumption and body composition in university students. Method: an observational, descriptive, cross-sectional study with a sample of 189 students. Sociodemographic variables obtained by a survey, body composition variables obtained by bioimpedance, and food groups and their categories obtained via a 24-hour reminder method were included. A multinomial logistic regression model was performed to explain body composition according to consumption of food groups. Results: statistically significant associations were obtained between food consumption and body composition for visceral fat and consumption of eggs, meats, sausages and grains (p = 0.024), and consumption of sugars with bone mass (p = 0.029) and muscle mass (p = 0.013). The multiple regression model showed that sugar consumption increases the risk of having visceral fat (OR = 2.71), and increases the probability of being classified as an obese person (OR = 2.55). Consumption of eggs, meats, sausages, and grains favors an acceptable percentage of visceral fat (OR = 0.14). The consumption of fruits and vegetables increases the risk of having a high percentage of water (OR = 5.41), and low fat percentage (OR = 3.60). Conclusions: the consumption of sugars seems to have a close relationship with variables of body composition such as visceral fat, bone mass, and muscle mass. The consumption of fruits and vegetables was related to a low percentage of fat; however, their consumption is proportionally related to high levels of body water. Studies to establish associations between body composition and food consumption should be carried out taking into account specific intakes in order to establish a more accurate association.

INTRODUCCIÓN: Introducción: los jóvenes universitarios enfrentan diversas situaciones sociales que generan cambios en los estilos de vida. Estos están asociados a desequilibrios en la ingesta dietética, caracterizada por una gran densidad calórica, lo que produce sobrepeso. Al mismo tiempo, se conoce la relación entre los patrones de consumo y la composición corporal, pero existe un vacío en la población universitaria colombiana. Así pues, el objetivo de esta investigación fue determinar la relación del patrón de consumo de alimentos con la composición corporal en universitarios. Método: estudio observacional, descriptivo, de corte transversal con una muestra de 189 estudiantes. Se incluyeron variables sociodemográficas obtenidas por encuesta, variables de composición corporal derivadas de la bioimpedancia, y los grupos de alimentos y sus categorías por el método del recordatorio de 24 horas. Se realizó un modelo de regresión logística multinomial para explicar la composición corporal de acuerdo con el consumo de los grupos de alimentos. Resultados: se obtuvieron asociaciones estadísticamente significativas entre el consumo de alimentos y la composición corporal para la grasa visceral y el consumo de huevos, carnes, embutidos y granos (p = 0,024), y para el consumo de azúcares con respecto a la masa ósea (p = 0,029) y la masa muscular (p = 0,013). El modelo de regresión múltiple mostró que el consumo de azúcar incrementa la probabilidad de tener grasa visceral (OR = 2,71) y la probabilidad de clasificar a una persona como obesa (OR = 2,55). El consumo de huevos, carnes, embutidos y granos favorece la clasificación de la grasa visceral como aceptable (OR = 0,14). El consumo de frutas y verduras incrementa la probabilidad de presentar un alto porcentaje de agua (OR = 5,41) y la clasificación del porcentaje de grasa como bajo (OR = 3,60). Conclusiones: el consumo de frutas y verduras se corresponde con un porcentaje bajo de grasa; no obstante, su ingesta se vincula proporcionalmente con altos niveles de agua corporal. Se deben realizar estudios que establezcan asociaciones entre la composición corporal y el consumo de alimentos, teniendo en cuenta la ingesta específica que pueda establecer una correlación con mayor precisión.