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

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.

2021 ◽  
Vol 11 (9) ◽  
pp. 137-147
Author(s):  
Lorik Ramaj ◽  
Sadete Hasani

The purpose of this study was to investigate and analyze the problems of underweight, overweight and obesity in young people of high school in Drenas, respectively a sample of 150 adolescents (73 males and 77 females aged 17 years). The research was conducted in the physical education class, initially was performed measurement of weight and height then the questionnaire with 26 questions. Data were collected with the statistical program SPSS version 21.0, descriptive analysis was performed with (Mean and standard deviation), all variables were tested for normality, significant level (significant level p <0.05). Results of anthropometric characteristics, the average age was 17.2 years. Weight / kg for men was 59.4 kg for women 57.3kg the average for both genders was 58.3 (± 6.2) kg. Height / cm  males 1.68cm,  females 1.61cm the average of both genders was 1.64 (± 6.6) cm. BMI body mass index kg / m² in men 21.0, women 22.1, the average of both sexes 21.55 kg / m5. The results show that men have lower BMI (p> 0.05) 21.55 kg / m² than girls with 22.1 kg / m². Data showed underweight males are 12%, and females 10%. BMI Normal male 74%, and female 69%. Overweight males 11%, females 13% while a significant difference was observed between obese boys and girls (obese) males 3% and females 8%. The analysis of the questionnaire showed that small percentages are involved in collective or individual sports, the most pronounced participation in sports was identified: football, volleyball and basketball, and relatively satisfactory were physical activity in household activities. It is recommended to build outdoor fitness and sports gyms, as well as the opening of various sports clubs in this area, and to have more research in this area, to prove the institucions how important are places for sport and physical activities.


1970 ◽  
Vol 5 (02) ◽  
pp. 38-44
Author(s):  
Eufrasia Victa Swastika Anggriasti ◽  
Maria Regina Rachmawati

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


Author(s):  
Veerabhadrappa G Mendagudli ◽  
Shivaleela S Sarawad

Obesity has almost tripled globally since 1975. More than 1.9 billion people aged 18 and up were overweight in 2016. Over 650 million of them were obese. In 2016, 39% of adults aged 18 and up were overweight, with 13% being obese. Overweight and obesity kill more people than underweight in the majority of the world's population. In the year 2019, 38 million children under the age of 5 were overweight or obese. In 2016, over 340 million children and adolescents aged 5 to 19 years old were overweight or obese. Obesity can be avoided. Currently, India has over 135 million obese people. Until recently, the body mass index (BMI) was used to measure obesity. By 2020, there will be 158 million obese children around the world, rising to 206 million by 2025 and 254 million by 2030. In reality, India will have the most obese children after China, with 27,481,141 or 27 million, well ahead of the United States' 17 million.


2019 ◽  
Vol 2 (2) ◽  
pp. 86
Author(s):  
Muhammad Fadhol Romdhoni, M.Si. ◽  
Yuhantoro Budi Handoyo Sakti ◽  
Dewi Karita

Research in Semarang 9.1% and 10.6% of children aged 6-7 years, suffered from overweight and obesity, with the ratio of boys are higher than girls. Lifestyle changes is the first step to regulate body mass index back to normal. Healthy active lifestyle is now being campaigned, one of exercises that recently famous is biking. This research is to find out the relationship between time baseline with IMT and biking routine with IMT. This study is a one group survey without a control design. The method used in this study is a cross sectional survey. Respondents are biker who agreed to participated in this study. This study was conducted of 173 respondents. Non-parametric statistical analysis test using Kolmogorov smirnov (alternative test of chi square reasons the data does not meet the requirements). Data on the relationship between time baseline and BMI was p = 0.654 (p> 0.05), shows that time baseline is not related with body mass index (BMI) values. Furthermore, the relationship of biking routines with BMI was p = 0.376 (p> 0.05), which is not related between biking routines and body mass index (BMI) values. In conclusion, that time baseline and biking routines have no relationship to the body mass index value, as one of obesity indicator.


2020 ◽  
Vol 19 (2) ◽  
Author(s):  
You HW ◽  
Tan PL ◽  
Mat Ludin AF

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. 


2000 ◽  
Vol 90 (1) ◽  
pp. 329-337 ◽  
Author(s):  
Linda M. Lemura ◽  
Joseph Andreacci ◽  
Richelle Carlonas ◽  
Jodi M. Klebez ◽  
Sara Chelland

Interest in the benefits of exercise has prompted increased research examining the relationship between physical activity and health status in adults. More recently, considerable research effort has been directed toward the role of physical activity in young children as a precursor to adult physical fitness. The purpose of this study was to estimate the relationship between physical activity measured via accelerometry and body mass index, body mass, body composition, and physical fitness in fourth-grade boys and girls during physical education lessons. 54 fourth-grade students in rural Pennsylvania (28 girls, M age 9.6, SD = .56; 26 boys, M age 9.5, SD = .51) were subjects. Girls were significantly less active during all lessons measured ( p<.001). The results of linear regression analyses indicated that physical activity was negatively associated with body mass index, body mass, and body fat percentage ( p< .05), and positively associated with physical fitness (V̇O2max) ( p<.01). These data indicate the need for curricular intervention to motívate girls to increase their activity during structured physical education lessons and demonstrate the efficacy of the body mass index as a screening tool within the schools.


Author(s):  
Priyam Sharma ◽  
Akshay Berad

Obesity is increasing at an alarming rate throughout the world and has become a global problem. The World Health Organisation (WHO) has declared overweight as one of the top 10 health risks in the world and one of the top five in developed nations (WHO, 2002) In many developing countries, with increasing urbanization, mechanization of jobs and transportation, availability of processed and fast foods, and dependence on television for leisure, people are fast adopting less physically active lifestyles and consuming more “energy-dense, nutrient-poor” diets .The objective of the study was to investigate the prevalence of overweight issues and obesity by recording the body mass index (BMI) and explore the dietary habits, physical activities (PAs), and lifestyles of  females between 20-40 years of age. Questionnaire was used in this study for data collection about general information, body mass index, dietary habits and Lifestyle of 20 female subjects. It was observed that 3 females were underweight, 9 were normal weight and 8 were overweight and obese. From the results of the study, we can conclude that the incidence of being overweight and obese is increasing .The awareness about Physical activities healthy diet/lifestyle, and consequences of overweight and obesity on their health and profession must be increased among the young females to avoid future complications. Key words: Body Mass index, lifestyle, dietary habits, Physical activity


2021 ◽  
pp. 014556132098051
Author(s):  
Matula Tareerath ◽  
Peerachatra Mangmeesri

Objectives: To retrospectively investigate the reliability of the age-based formula, year/4 + 3.5 mm in predicting size and year/2 + 12 cm in predicting insertion depth of preformed endotracheal tubes in children and correlate these data with the body mass index. Patients and Methods: Patients were classified into 4 groups according to their nutritional status: thinness, normal weight, overweight, and obesity; we then retrospectively compared the actual size of endotracheal tube and insertion depth to the predicting age-based formula and to the respective bend-to-tip distance of the used preformed tubes. Results: Altogether, 300 patients were included. The actual endotracheal tube size corresponded with the Motoyama formula (64.7%, 90% CI: 60.0-69.1), except for thin patients, where the calculated size was too large (0.5 mm). The insertion depth could be predicted within the range of the bend-to-tip distance and age-based formula in 85.0% (90% CI: 81.3-88.0) of patients. Conclusion: Prediction of the size of cuffed preformed endotracheal tubes using the formula of Motoyama was accurate in most patients, except in thin patients (body mass index < −2 SD). The insertion depth of the tubes was mostly in the range of the age-based-formula to the bend-to-tip distance.


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