Effect of sedentary interval intervention on body composition and blood lipid metabolism of obese female college students / 中国学校卫生

Objective@#To explore the intervention effect of sedentary interval on body composition and blood lipid metabolism of obese female college students, so as to provide reference for health promotion among obese students.@*Methods@#Eighty obese female college students from first and second grades were randomly assigned into three groups, the control group ( n =28), experimental group A ( n =26), and experimental group B ( n =26), between September and November 2022. The participants received appropriate dietary guidance, a 90-minute optional physical education course was offered to control group once a week, on the basis of the control group, experimental group A performed 5-minute-intermittent brisk walking (6 km/h) during each break. Experimental group B performed 5-minute-intermittent brisk walking (6 km/h) during each break for the first 4 weeks, then changed to 4-minute-brisk walking (6 km/h) and 1-minute-rope skipping (60 skips/min) during each break for weeks 5-8, and changed to 4-minute-brisk walking (6 km/h) and 1-minute-rope skipping (80 skips/min) during each break for 9-12 weeks. The intervention was performed 10 times per day, with the interruption time and frequency on weekends remaining the same. Body mass index (BMI), body fat rate (BFR), waist hip ratio (WHR), visceral fat index (VFI), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) were measured before and after the experiment.@*Results@#After 12 weeks intervention, there were no significant differences in body composition and blood lipids in control group ( P >0.05), BMI, BFR, VFI and TG in Group A were lower than those before intervention ( t=3.20, 2.80, 8.19, 2.21, P <0.05), BMI, BFR, WHR, VFI, TG, TC, LDL-C were lower and HDL-C in group B were higher than those before intervention ( t=6.27, 5.85, 10.82 , 19.91, 3.86, 3.29, 7.20, -4.93, P <0.01). There were significant differences in BMI, BFR, WHR, VFI and HDL-C among the three groups ( F=24.01, 23.77, 10.00, 15.28, 6.72, P <0.01), and the intervention effects of BMI, BFR and HDL-C in group B were better than those in group A and control group ( P <0.01).@*Conclusion@#The intervention of brisk walking and rope skipping had a good effect on improving body composition and blood lipid metabolism of obese female college students. Schools should make good use of the time between classes and adopt short-time and high-intensity exercise intervention to improve the body composition and blood lipid metabolism of obese students.

Deep learning for analysis of changes in vital capacity and blood markers after swimming matches based on blended learning / Aprendizado profundo para análise das alterações da capacidade vital e marcadores sanguíneos após jogos de natação baseados no aprendizado combinado / Aprendizaje profundo para el análisis de los cambios en la capacidad vital y los marcadores sanguíneos después de los partidos de natación basados en el aprendizaje combinado

ABSTRACT Introduction Nowadays, more people are concerned with physical exercise and swimming competitions, as a major sporting event, have become a focus of attention. Such competitions require special attention to their athletes and the use of computational algorithms assists in this task. Objective To design and validate an algorithm to evaluate changes in vital capacity and blood markers of athletes after swimming matches based on combined learning. Methods The data integration algorithm was used to analyze changes in vital capacity and blood acid after combined learning swimming competition, followed by the construction of an information system model to calculate and process this algorithm. Results Comparative experiments show that the neural network algorithm can reduce the calculation time from the original initial time. In the latest tests carried out in about 10 seconds, this has greatly reduced the total calculation time. Conclusion According to the model requirements of the designed algorithm, practical help has been demonstrated by building a computational model. The algorithm can be optimized and selected according to the calculation model according to the reality of the application. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.

RESUMO Introdução Atualmente, mais pessoas preocupam-se com o exercício físico e as competições de natação, como evento esportivo de destaque, tornou-se foco de atenção. Tais competições exigem atenção especial aos seus atletas e o uso de algoritmos computacionais auxiliam nessa tarefa. Objetivo Projetar e validar um algoritmo para avaliação das alterações da capacidade vital e marcadores sanguíneos dos atletas após os jogos de natação baseados no aprendizado combinado. Métodos O algoritmo de integração de dados foi usado para analisar as mudanças de capacidade vital e ácido sanguíneo após competição de natação de aprendizado combinado, seguido à construção de um modelo de sistema de informação para calcular e processar esse algoritmo. Resultados Experiências comparativas mostram que o algoritmo de rede neural pode reduzir o tempo de cálculo a partir do tempo inicial original. Nos últimos testes levados à cabo em cerca de 10 segundos, isto reduziu muito o tempo total de cálculo. Conclusão De acordo com os requisitos do modelo do algoritmo projetado, foi demonstrada a ajuda prática pela construção de um modelo computacional. O algoritmo pode ser otimizado e selecionado de acordo com o modelo de cálculo, segundo a realidade da aplicação. Nível de evidência II; Estudos terapêuticos - investigação dos resultados do tratamento.

RESUMEN Introducción Hoy en día, cada vez más personas se preocupan por el ejercicio físico y las competiciones de natación, como evento deportivo destacado, se han convertido en un foco de atención. Estas competiciones requieren una atención especial para sus atletas y el uso de algoritmos computacionales ayuda en esta tarea. Objetivo Diseñar y validar un algoritmo para evaluar los cambios en la capacidad vital y los marcadores sanguíneos de los atletas después de los partidos de natación basado en el aprendizaje combinado. Métodos Se utilizó el algoritmo de integración de datos para analizar los cambios de la capacidad vital y la acidez de la sangre tras la competición de natación de aprendizaje combinado, seguido de la construcción de un modelo de sistema de información para calcular y procesar este algoritmo. Resultados Los experimentos comparativos muestran que el algoritmo de la red neuronal puede reducir el tiempo de cálculo con respecto al tiempo inicial. En las últimas pruebas realizadas en unos 10 segundos, esto redujo en gran medida el tiempo total de cálculo. Conclusión De acuerdo con los requisitos del modelo del algoritmo diseñado, se ha demostrado la ayuda práctica mediante la construcción de un modelo computacional. El algoritmo puede optimizarse y seleccionarse según el modelo de cálculo en función de la realidad de la aplicación. Nivel de evidencia II; Estudios terapéuticos - investigación de los resultados del tratamiento.

Relation between lifestyle, negative emotions and obesity of female college students / 中国学校卫生

Objective@#Exploring the relation between lifestyle, negative emotions and obesity of female college students,and to provide references for controlling obesity improving life style and promoting physical and mental health.@*Methods@#A random sample survey of 2 044 female college students in Henan Province was conducted using height and weight tester, body composition analyzer, the Depression-Anxiety-Stress Scale and College Students’ Healthy Lifestyle Scale. SPSS 17.0 and AMOS 20.0 were used for statistical analysis.@*Results@#The detection rates of recessive obesity, overweight and dominant obesity among female college students were 28.6%, 6.5% and 4.2% respectively. Exercise behavior, dietary nutrition behavior and stress management behavior of female college students’ lifestyle could predict the degree of obesity positively, and negative emotions could predict the degree of obesity positively( r =-0.23, -0.22, -0.21, 0.26, P <0.01). The proportion of negative emotions explained in the associations between exercise, dietary behavior and stress management with obesity was 22.1%, 25.9% and 42.5%, respectively, between the negative emotions of exercise behavior and obesity, dietary nutrition behavior and obesity, stress management behavior and obesity.@*Conclusion@#Negative emotions played an intermediary role between exercise behavior and obesity, dietary nutrition behavior and obesity, stress management behavior and obesity.