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

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.

PEDIATRICS ◽  
1994 ◽  
Vol 94 (4) ◽  
pp. 449-455
Author(s):  
Robert H. DuRant ◽  
Tom Baranowski ◽  
Maribeth Johnson ◽  
William O. Thompson

Purpose. Television watching has been reported to be associated with obesity, resting energy expenditure, and lower daily physical activity among both children and adolescents. However, most of these studies were based on self report or data collected in laboratory settings. This study examined the relationship among observed time of television watching, observed physical activity level and body composition among 3- or 4-year-old children. Methods. African-American (41.4%), Mexican-American (23%), and Anglo-American (35.6%) children (N = 191, males = 90) from the Texas site of the Studies of Child Activity and Nutrition program were observed from 6 to 12 hours per day up to 4 days over 1 year. Activity level each minute of the day was measured with the Children's Activity Rating Scale (interobserver reliability = .84 ± .001). The interobserver reliability of time of television watching was .96 ± .08. Results. The median of the longest number of consecutive minutes of television watching was 15 (range = 1 to 79). The median percent of minutes of television watching of total observed minutes was 14.8% (0% to 58%) and the median percent of minutes of inside minutes was 17.9% (0% to 80.9%). There were no gender or ethnic differences in time watching television or physical activity during television watching. Physical activity during television watching was lowest during the longest bout of television watching (\l=x_\ = 1.48 ± .28) compared to outside minutes (\l=x_\ = 2.38 ± .21), inside non-television minutes (\l=x_\ = 1.96 ± .13) and inside television minutes (\l=x_\ = 1.65 ± .18). The level of physical activity during television-watching times was highest (P <.0031) during October and November and lowest during March, April, June, and July. Longest bout of television watching and percent of minutes watching television to total observed minutes were inversely associated with mean physical activity, percent of minutes of physical activity levels 3, 4, or 5, and percent of physical activity levels 4 or 5. Percent of television watching to inside minutes was negatively correlated with physical activity levels 4 or 5. Television-watching behavior was not associated with body composition. Conclusions. Television watching was weakly negatively correlated with physical activity levels, and physical activity was lower during television-watching than non-television-watching time in this sample of children. Television viewing behavior was not associated with body composition.


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. 


Author(s):  
H. Danin-Mankowitz ◽  
A. Ugarph-Morawski ◽  
F. Braunschweig ◽  
P. Wändell

AbstractVenous thromboembolism (VTE) is the third most common cause of cardiovascular disease. Connection between high level of physical activity (PA) and the onset of VTE is unknown. We searched the literature on the possible association between PA level, especially high levels, and the risk of VTE. A systematic review was carried out to identify relevant articles on the relation between PA level and VTE. The initial search was conducted together with the Karolinska Institutet University Library in February 2018, with follow-up searches after that. In total, 4383 records were found and then screened for exclusion of duplicates and articles outside the area of interest. In total, 16 articles with data on 3 or more levels of PA were included. Of these, 12 were cohort and 4 were case-control studies. Totally 13 studies aimed at investigating VTE cases primarily, while three studies had other primary outcomes. Of the 16 studies, five found a U-shaped association between PA level and VTE risk, although non-significant in three of them. Two articles described an association between a more intense physical activity and a higher risk of VTE, which was significant in one. Nine studies found associations between increasing PA levels and a decreasing VTE risk. Available literature provides diverging results as to the association between high levels of PA and the risk of venous thromboembolism, but with several studies showing an association. Further research is warranted to clarify the relationship between high level PA and VTE.


2006 ◽  
Vol 4 (1) ◽  
pp. 25-35 ◽  
Author(s):  
JULIE MIDTGAARD ◽  
ANDERS TVETERÅS ◽  
MIKAEL RØRTH ◽  
REINHARD STELTER ◽  
LIS ADAMSEN

Background:Exercise is becoming an important component of cancer rehabilitation programs. A consistent finding across studies is that patients experience improved physical fitness and reduced fatigue. However, sustained physical activity is essential if the benefits are to be preserved over the course of cancer survivorship.Objective:This study examined self-reported short-term exercise adherence following a 6-week, supervised exercise program (muscle strength, cardiovascular fitness, relaxation, body awareness, and massage) in a heterogeneous group of 61 cancer patients (mean age 42.9 years, 82% oncological and 18% haematological) from the Body & Cancer Project.Methods:Semistructured interviews were used to quantitatively assess leisure time physical activity level 1 and 3 months after completion of the program. The study furthermore included 3-month follow-up assessment of psychological distress (Hospital Anxiety and Depression Scale—HADS). Patient statements were selected that best illustrated trends found in the statistical material.Results:There was a significant postprogram reduction in physical activity from 6 to 10 weeks and from 6 to 18 weeks. However, the patients (half of whom were still undergoing treatment at the time of follow-up) reported a higher physical activity level postprogram compared to their baseline levels. The analyses showed a positive association between the 3-month postprogram physical activity level and pre-illness physical activity level, treatment, and postprogram changes in depression.Significance of research:Given the significant decrease in postprogram PA level, especially in subjects still undergoing cancer treatment, the study suggests that continuous supervised programs may be required in order to encourage and support exercise adherence in this population. However, randomized clinical controlled trials and more follow-up studies are needed to establish the optimal program length and content for sustained exercise adherence in cancer patients.


2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Justyna Wyszyńska ◽  
Justyna Podgórska-Bednarz ◽  
Justyna Drzał-Grabiec ◽  
Maciej Rachwał ◽  
Joanna Baran ◽  
...  

Introduction. Excessive body mass in turn may contribute to the development of many health disorders including disorders of musculoskeletal system, which still develops intensively at that time.Aim. The aim of this study was to assess the relationship between children’s body mass composition and body posture. The relationship between physical activity level of children and the parameters characterizing their posture was also evaluated.Material and Methods. 120 school age children between 11 and 13 years were enrolled in the study, including 61 girls and 59 boys. Each study participant had the posture evaluated with the photogrammetric method using the projection moiré phenomenon. Moreover, body mass composition and the level of physical activity were evaluated.Results. Children with the lowest content of muscle tissue showed the highest difference in the height of the inferior angles of the scapulas in the coronal plane. Children with excessive body fat had less slope of the thoracic-lumbar spine, greater difference in the depth of the inferior angles of the scapula, and greater angle of the shoulder line. The individuals with higher level of physical activity have a smaller angle of body inclination.Conclusion. The content of muscle tissue, adipose tissue, and physical activity level determines the variability of the parameter characterizing the body posture.


2021 ◽  
Vol 12 ◽  
pp. 215013272110477
Author(s):  
Oscar H. Del Brutto ◽  
Robertino M. Mera ◽  
Denisse A. Rumbea ◽  
Pedro Pérez ◽  
Bettsy Y. Recalde ◽  
...  

Background: Information on the body composition of inhabitants of remote communities during the SARS-CoV-2 pandemic is limited. Using a longitudinal population-based study design, we assessed the association between SARS-CoV-2 infection and changes in body composition. Methods: Community-dwelling older adults living in a rural Ecuadorian village received body composition determinations before and 1 year after the pandemic as well as serological tests for detection of SARS-CoV-2 antibodies. The independent association between SARS-CoV-2 infection and abnormalities in body composition at follow-up was assessed by fitting linear mixed models for longitudinal data. Results: Of 327 enrolled individuals, 277 (85%) received baseline and follow-up body composition determinations, and 175 (63%) of them became SARS-CoV-2 seropositive. Overall, diet and physical activity deteriorated during the follow-up. Multivariate random-effects generalized least squares regression models that included the impact of time and seropositivity on follow-up body composition, showed that neither variable contributed to a worsening in body composition. Multivariate logistic regression models disclosed that the serological status at follow-up cannot be predicted by differences in body composition and other baseline covariates. Conclusions: Study results suggest no increased susceptibility to SARS-CoV-2 infection among older adults with abnormal body composition and no significant changes as a result of worse physical activity and dietary habits or seropositivity during the length of the study. Together with a previous study in the same population that showed decrease in hand-grip strength after SARS-CoV-2, results confirm that dynapenia (and not sarcopenia) is associated with SARS-CoV-2 infection in older adults.


2017 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Putu Denny Tanaya ◽  
Emillia Devi D.Rianti

Obesity is excess weight as a result of stockpiling body fat excessive and could happen to all citizen including on children. The cause of obesity that one of them caused by the imbalance between intake of nutrients with physical activity that is playing. Good physical activity, the body metabolic processes will make the children walk with a maximum intake of calories that can be obtained from food directly in use in both by the body. The aim of this research is to determine the relationship between the obese on 9 to 12 years old kids are playing with a pattern. From the graph is used for children and teenager to define obesity using the Center for Disease Control and Prevention (CDC). Method used by persentil graph body mass index (bmi to age 2 to 20 years in the male and female). Analytic research is the correlation with spearman. The result of research shows that there is no correlation between obesity with a pattern of the activity of playing on children aged 9 to 12 years. Because the value of a correlation coefficient (0.053 > 0.025). It is also avidenced by the result of a coefficient that marked negative and having meaning the absence of correlation ( - 0.209 ). Of the result we can conclude that there are a lot of the main factor in addition to the activity of playing that can cause a child suffering from obesity including genetic factor, and the pattern of hormonal feeding on such a child.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Ana Paula B. Ramkrapes ◽  
Renata G. Duft ◽  
Ivan L. P. Bonfante ◽  
Keryma C. S. Mateus ◽  
Joice C. S. Trombeta ◽  
...  

The present study was designed to compare the body composition and indicators of chronic inflammatory grade, such as leptin, adiponectin, and resistin concentrations in irregularly active and active SCI subjects. Thirty-two male subjects participated in this study. They were divided into three groups: able-bodied control irregularly active (control, n = 11 ), irregularly active with SCI (SCI-IA, n = 8 ), and physically active with SCI (SCI-PA, n = 13 ). The enzyme-linked immunosorbent assay (ELISA) assessed serum concentrations of leptin, adiponectin, and resistin. All volunteers performed the maximum oxygen uptake (VO2max) test, 24 h total energy expenditure (TEE), and body composition by skinfold thicknesses. Leptin concentrations were higher in the SCI-IA group when compared to the other groups, while no significant differences were found between the SCI-PA and control cohorts. In addition, no significant differences were found among groups for serum adiponectin and resistin concentrations either. The SCI-PA group showed significantly higher values for TEE and VO2max when compared to the other groups. Percentages of body fat and circumference were decreased in the control and SCI-PA groups when compared to the SCI-IA cohort. Associations between leptin and cardiorespiratory capacity and anthropometric markers were also observed. Our findings highlight that the lack of physical activity in the SCI subjects leads to poor general physical fitness and higher levels of body adiposity, which may induce hyperleptinemia, an essential marker for cardiometabolic disorders.


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 10 (3) ◽  
pp. 400-411
Author(s):  
Abbas Farjad Pezeshk ◽  
◽  
Nader Nokhodchi ◽  
Mohammad Yousefi ◽  
Saeed Ilbeigi ◽  
...  

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.


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