scholarly journals The Relationship between Physical Activity, Body Mass Index and Body Composition among Students at a Pre-University Centre in Malaysia

2020 ◽  
Vol 19 (2) ◽  
Author(s):  
You HW ◽  
Tan PL ◽  
Mat Ludin AF
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Composition ◽  
University Students ◽  
Muscle Mass ◽  
Body Mass ◽  
Fat Mass ◽  
The Body ◽  
Study Results ◽  
The Relationship

INTRODUCTION: Physical activity is an essential element in our daily life that leads to long-term health benefits. Physical activity refers to movement of the body that requires energy. Body mass index (BMI) indicates a ratio of body weight to squared height, which is a useful health indicator. On the contrary, body composition describes the body by measuring percentages of fat and muscle in human bodies. MATERIALS AND METHODS: This cross-sectional study aimed to determine the relationship between physical activities, BMI and body composition among pre-university students from one of the universities in Selangor, Malaysia. Stratified random sampling was employed to recruit 70 pre-university students into this study. RESULTS: From the study, 50% of the respondents are categorized as minimally active. In addition, there is significant difference between the physical activity levels of male and female respondents. The relationship between physical activity and BMI indicates a very weak negative correlation. Similarly, the correlation between physical activity and fat mass is a weak negative relationship. Meanwhile, there is a weak positive correlation between physical activity and muscle mass. CONCLUSION: Therefore, it can be concluded that when physical activity increases, BMI and body fat mass will decrease, while muscle mass will increase. Moreover, it was shown that there was a significant relationship between physical activity and body composition. 

scholarly journals The Single Nucleotide PolymorphismPPARG2Pro12Ala Affects Body Mass Index, Fat Mass, and Blood Pressure in Severely Obese Patients

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Ana Paula dos Santos Rodrigues ◽  
Lorena Pereira Souza Rosa ◽  
Hugo Delleon da Silva ◽  
Elisângela de Paula Silveira-Lacerda ◽  
Erika Aparecida Silveira
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Obese Patients ◽  
Pro12ala Polymorphism ◽  
Logistic Regression Models ◽  
Severely Obese

Background. ThePPARG2Pro12Ala (rs1801282) andIL6-174G >C (rs1800795) have important function in body weight regulation and a potential role in obesity risk. We aimed to investigate the association betweenPPARG2Pro12Ala andIL6-174G >C variants and the genotypes interaction with body composition, metabolic markers, food consumption, and physical activity in severely obese patients.Methods. 150 severely obese patients (body mass index (BMI) ≥ 35 kg/m2) from Central Brazil were recruited. Body composition, metabolic parameters, physical activity, and dietary intake were measured. The genotype was determined by the qPCR TaqMan Assays System. Multiple linear regression and multiple logistic regression models were fitted adjusting for confounders.Results. Ala carriers of the Pro12Ala polymorphism had higher adiposity measures (BMI:p=0.031, and fat mass:p=0.049) and systolic blood pressure (p=0.026) compared to Pro homozygotes. We found no important associations between the -174G >C polymorphism and obesity phenotypes. When genotypes were combined, individuals with genotypes ProAla + AlaAla and GC + CC presented higher BMI (p=0.029) and higher polyunsaturated fatty acids (PUFAs) consumption (p=0.045) compared to the ones with genotypes ProPro and GG, and individuals carriers of thePPARG2Ala allele only (genotype ProAla + AlaAla and GG) had higher fat mass and systolic and diastolic blood pressure compared to the ones with genotypes ProPro and GG.Conclusions. Severely obese individuals carrying the Ala allele of thePPARG2Pro12Ala polymorphism had higher measures of adiposity and blood pressure, while no important associations were found for theIL6-174G >C polymorphism.

The Relationship among Television Watching, Physical Activity, and Body Composition of 5- or 6-Year-Old Children

1996 ◽  
Vol 8 (1) ◽  
pp. 15-26 ◽  
Author(s):  
Robert H. DuRant ◽  
William O. Thompson ◽  
Maribeth Johnson ◽  
Tom Baranowski
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Composition ◽  
Rating Scale ◽  
The Body ◽  
Activity Level ◽  
Television Watching ◽  
Activity Rating ◽  
The Relationship

This follow-up investigation examined the relationship among observed time of television watching, physical activity, and body composition in 5- to 6-year-old children previously studied 2 years ago. Activity level on school and nonschool days was measured with the Children’s Activity Rating Scale. Television watching time was assessed by direct observation, and body composition was measured with the body mass index, skinfold thicknesses, and waist/hip ratio. Television watching behavior, which increased from the earlier study, was not associated with body composition. Physical activity was lower during television watching than nontelevision watching time.

Asociación entre la composición corporal y la condición física en estudiantes de grado sexto, pertenecientes a la institución educativa moderna de Tuluá, Colombia año 2019 (Association between body composition and the physical condition in sixth grade st

Retos ◽  
2020 ◽  
pp. 539-546
Author(s):  
Luis Hebert Palma Pulido ◽  
Carlos Hernán Méndez Díaz ◽  
Alfonso Cespedes Manrrique ◽  
Jorge Andrés Castro Mejía ◽  
Alejandro Viveros Restrepo ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Physical Condition ◽  
Pearson Correlation ◽  
Sixth Grade ◽  
The Body ◽  
Fat Percentage ◽  
Cardiovascular Capacity

 El siguiente estudio, tuvo como finalidad, determinar la correlación entre la composición corporal y la condición física en niños de sexto grado de la Institución Educativa de Tuluá, Colombia. El estudio fue no experimental, descriptivo y de alcance correlacional. La valoración de la composición corporal, se realizó mediante el índice de masa corporal y el porcentaje de grasa (fórmula de Slaughter y Lohmann). La condición física, se determinó por medio de la batería Fitnessgram. La muestra fue de 193 niños y niñas, entre ocho y 12 años. Los resultados se determinaron, por medio de estadísticos descriptivos y correlación de Pearson. Estos resultados, evidenciaron una r=-0,52 y -0,72 para niño y niña respectivamente, entre el porcentaje de grasa y la capacidad cardiovascular. Las correlaciones entre el índice de masa corporal y peso corporal, con el porcentaje de grasa fueron, r=0,59 niña 0,76 y niño y r=0,46 niña y 0,67 niño respectivamente, indicando que, a mayor masa corporal mayor grasa. La correlación entre masa grasa y el test de barra fija fue inversa, pero no alta, r=-0,23 y -0,24, sin embaro, cuando este test se correlacionó con el índice de masa corporal, dicha correlación fue mayor, r=-0,57 y -0,78, reflejando que, la masa corporal, afectó la resistencia en la barra. La flexibilidad y agilidad, no se alteraron por la masa grasa, r < 0,20. Como conclusión, se evidencia que, la masa grasa puede disminuir la capacidad cardiovascular y resistencia a la fuerza, sin embargo, la flexibilidad y la velocidad-agilidad pueden no alterarse.  Abstract. The following study aimed at determining the correlation between body composition and physical condition in sixth grade students from the high school Institución Educativa Moderna in Tuluá, Colombia. It was carried as a non-experimental, descriptive, and correlational study. The assessment of body composition was carried out using the body mass index and the fat percentage based on Slaughter and Lohmann formula. Physical condition was determined by using the Fitnessgram battery. The sample consisted of 193 boys and girls, around eight and 12 years old. The results were determined by means of descriptive statistics and Pearson correlation. These results showed r = -0.52 and -0.72 for boys and girls respectively, after correlating the percentage of fat and cardiovascular capacity. The correlation of their body mass index and their body weight, towards the percentage of fat were: r = 0.59 girl, 0.76 boy and r = 0.46 girl and 0.67 boy respectively, indicating that, the higher the body mass the higher the increase of fat. The correlation between fat mass and the fixed bar test was inverse, but not high: r = -0.23 and -0.24. However, when this test was correlated with the body mass index, that correlation was higher: r = -0.57 and -0.78, reflecting that the body mass affected the resistance at the bar. Flexibility and agility were not altered by fat mass: r <0.20. In conclusion, it is evidenced that fat mass can decrease cardiovascular capacity and resistance to strength, however, flexibility and speed-agility may not be altered.

scholarly journals Accuracy of Body Mass Index and Obesity Status in Police Trainees

2022 ◽  
Vol 12 (1) ◽  
pp. 42-49
Author(s):  
Miloš Stojković ◽  
Katie M. Heinrich ◽  
Aleksandar Čvorović ◽  
Velimir Jeknić ◽  
Gianpiero Greco ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Direct Method ◽  
Body Height ◽  
Overweight And Obesity ◽  
The Body ◽  
Measurement Tool ◽  
Obesity Status ◽  
Study Results

The first aim of this study was to compare body mass index (BMI) (indirect method) classification with the body fat percent (PBF) (direct method) and to determine how BMI classifies subjects with different levels of skeletal muscle mass percent (PSMM). The second aim was to determine the prevalence of overweight and obesity status among police trainees (PTs). A total of 103 male PTs participated in this research: age = 21.46 ± 0.64 years, body mass (BM) = 75.97 ± 8.10 kg, body height (BH) = 174.07 ± 6.31 cm, BMI = 25.05 ± 2.12 kg/m2. The InBody 370 multichannel bioelectrical impedance analysis (BIA) measured body composition. Study results indicated that muscular PTs could be misclassified as overweight and that PBF identified more subjects as obese. Namely, three PTs were obese according to BMI, while 13 were obese according to PBF. The information provided by this research could be used to help professionals understand the importance of measuring body composition, and the inaccuracies in BMI classification. In conclusion, whenever possible PSMM and PBF should replace the utilization of BMI to screen overweight and obesity in PTs. Agencies may think of using BIA as non-invasive, quick and inexpensive measurement tool.

scholarly journals The Relationship among Body Mass Index, Physical Activity, Dynamic Balance, and Sleep Patterns

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Geubrina Kananda ◽  
Eka Roina Megawati
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Dynamic Balance ◽  
Overweight And Obesity ◽  
The Body ◽  
Sleep Patterns ◽  
Fall Injury ◽  
The World ◽  
The Relationship

According to the World Health Organization in 2010, overweight and obesity are the fifth risk factors of the cause of death in the world. Obesity is influenced by the level of physical activity and it could cause a disturbance in dynamic balance and induce sleep disorder known as sleep apnea. Meanwhile, the lack of physical activity also affects the dynamic balance that can increase the risk of fall injury during the dynamic physical activity. The aim of this study was to investigate the relationship among body mass index, physical activity, the dynamic balance, and sleep patterns. The subjects of this study were 72 young adults aged 20 years in average, consisted of 47 males and 25 females. The body mass index was undertaken by dividing the body weight (kg) and height in meter square (m2). The level of physical activity was performed by using the International Physical Activity Questionnaire. Meanwhile, the dynamic balance was measured by using the modified Bass test; while sleep patterns was measured by using the Pittsburgh Sleep Quality Index. This study found that there was a significant association between BMI and dynamic balance with p value = 0.006 (p 0.05); whereas physical activity was not significantly associated to the dynamic balance (p0.05). Meanwhile, body mass index and physical activity were not significantly associated to sleep patterns (p 0.05). This study concludes that body mass index has a significant association to dynamic balance. Meanwhile, dynamic balance is highly needed in carrying out dynamic physical activity to avoid fall injury.

scholarly journals Design and Validation of the Equation for Correction of Body Mass Index

2021 ◽  
Vol 10 (3) ◽  
pp. 400-411
Author(s):  
Abbas Farjad Pezeshk ◽  
◽  
Nader Nokhodchi ◽  
Mohammad Yousefi ◽  
Saeed Ilbeigi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Multiple Regression ◽  
Correlation Coefficient ◽  
Body Mass ◽  
Body Fat ◽  
The Body ◽  
Spearman Correlation ◽  
Body Fat Percent ◽  
The Relationship

Background and Aims: The Body Mass Index (BMI) is considered one of the most common indexes for examining the health. The purpose of this study was the design and validation of the equations for the accuracy of BMI. Methods: In the current 419 athletic and non-athletic subjects participated in this study. Anthropometrical measurement was performed using International Standard for Anthropometry and Kinanthropometry (ISAK) protocol, and mesomorphic and endomorphic calculated based on the Heath-Carter methods. The Spearman correlation coefficient was used to determine the relationship between BMI and body fat percent, mesomorphic and endomorphic values. Multiple regressions were used to predict BMI. Results: There is a high correlation between BMI with mesomorphic and endomorphic values (P<0.01), but the correlation of BMI with mesomorphic in athletic men was higher than endomorphic (0.77 vs. 0.63). Multiple regression produces some equations for predicting mesomorphic and endomorphic, and bland Altman believes that all equations predict fatness. Conclusion: According to the results, the Equations proposed in this study could appropriately turn BMI to predict body composition so that this equation could determine higher BMI because of the higher muscular mass.

scholarly journals Diferencias en la composición corporal y actividad física en estudiantes universitarios según año de ingreso

2016 ◽  
Vol 18 (3) ◽  
pp. 474
Author(s):  
Fernando Rodriguez Rodriguez ◽  
Mitzi Santibañez Miranda ◽  
Grundy Montupin Rozas ◽  
Francisca Chávez Ramírez ◽  
Patricio Solis Urra
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Physical Structure ◽  
Female Students ◽  
Activity Level ◽  
The University ◽  
Estudiantes Universitarios

Introducción: La etapa universitaria es un proceso determinante para consolidar los hábitos de vida, donde los estudiantes se ven obligados a cambiar la mayoría de sus hábitos, que propician una mala alimentación, pobre organización del tiempo y menor actividad física, teniendo repercusiones en la condición y estructura física, lo que puede afectar considerablemente el estado de salud de esta población. Objetivo: El objetivo de este trabajo fue determinar las diferencias en la composición corporal y actividad física en estudiantes universitarios según su año de ingreso. Materiales y métodos: Participaron en el estudio 287 estudiantes de ambos sexos (171 mujeres y 116 hombres), pertenecientes a las facultades de “Filosofía y Educación”, “Ingenierías” y “Ciencias”, a los cuales se les realizó una evaluación antropométrica para estimar la composición corporal con las ecuaciones de De Rose y Guimaraes y un cuestionario de frecuencia de actividad física. Resultados: Los resultados indican que existen diferencias en el Índice de Masa Corporal y masa grasa entre estudiantes mujeres de 1º y 2º año y entre 1º y 5º año en los hombres. La masa muscular no presenta grandes diferencias entre los grupos, pero si se aprecia cambios negativos entre el Índice de Masa Corporal y masa grasa de estudiantes que recién ingresan versus los estudiantes de último año. Conclusiones: Durante la universidad se vive un periodo crítico que afecta el nivel actividad física y el estado nutricional de los estudiantes y que podría empeorar en estudiantes con más años en la universidad.AbstractIntroduction: The university stage is a determining process when consolidating people’s habits of life, where students are forced to change most of their habits favoring a poor diet, poor organization of time and less physical activity, which at the same time, has an impact on the condition and physical structure and can significantly affect the health status of this population. Objective: To determine the differences in body composition and physical activity in university students according to their year of admission. Materials and methods: The study involved 287 male and female students (171 women and 116 men) who belonged to the faculties of Philosophy and Education, Engineering and Science, who underwent an anthropometric assessment to estimate body composition with De Rose and Guimaraes equations and a frequency of physical activity questionnaire. Results: The results show that there are differences in Body Mass Index and fat mass among female students of first and second year and between the first and fifth year in men. Muscle mass had no significant differences between groups, but there is negative changes between Body Mass Index and fat mass from students newly admitted versus students in their last year. Conclusions: During the university stage, students face a critical period that affects their physical activity level and nutritional status, which could get worse for students with more years at the university.

Correlation between Body Mass Index and Physical Activity with Scoliosis in Young Adult

1970 ◽  
Vol 5 (02) ◽  
pp. 38-44
Author(s):  
Eufrasia Victa Swastika Anggriasti ◽  
Maria Regina Rachmawati
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
High School Students ◽  
Body Mass ◽  
The Body ◽  
Trunk Muscles ◽  
School Students ◽  
Cross Sectional ◽  
Activity Increase ◽  
The Relationship

Background: Scoliosis is a deformity of spine that has excessive lateral curve. The deformity could becaused by postural adaptation to an imbalance of local trunk muscles or by another risk factors. There are tworisk factors, that are obesity and physical activity, which have not been studied in Indonesia yet about theircorrelation with scoliosis The aim of this study was to analyze the relationship between body mass index andphysical activity with scoliosis in young adults.Method: Study design was cross sectional. The subjects were High School students in Depok, recruited byconsecutive non-random sampling. The body mass index (BMI) was measured by body weight (Kg)/bodyheight (m2). The intensity of physical activity measured subjectively by International Physical ActivityQuestionnaires (IPAQ). Detection of postural scoliosis was by inspection and palpation and the deviationmeasured by scoliometer. The data were presence in univariate and bivariate, analyzed by the Pearsen Chisquare.Results: This study conducted in 165 subjects, the mean of age was 16-17 years old. There was no correlationbetween BMI and scoliosis (p=0,11). However the higher intensity of physical activity has correlated with thelower frequency of scoliosis (p=0.00).Conclusions: The lower intensity of physical activity increase the frequency of the postural scoliosis, in theother hand there was no correlation between BMI and scoliosis in young adults.Keywords : Scoliosis, Obesity, Physical activity

Relation of Body Mass Index and Body Fat Mass for Spanish University Students, Taking into Account Leisure-Time Physical Activity

2009 ◽  
Vol 108 (2) ◽  
pp. 343-348 ◽  
Author(s):  
Javier Molina-García ◽  
Isabel Castillo ◽  
Carlos Pablos ◽  
Ana Queralt
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
University Students ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Body Fat Mass ◽  
Metabolic Equivalents

The objective of this cross-sectional study was to analyze the relation of Body Mass Index with body fat mass while taking into account the amount of leisure-time physical activity for 299 male university students. Body fat mass was measured by bioelectrical impedance analysis. An estimation of energy expenditure in leisure-time physical activity in metabolic equivalents (METs) was obtained so participants were divided into six activity groups by percentile: no physical activity by the first group and participants physically active were divided into five groups by percentiles: <25%, 26–50%, 51–75%, 76–90%, and 91–100%. Correlations of Body Mass Index with body fat mass were strong in different groups—values ranged from .76 to .85, except for the >90% group.

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