scholarly journals Effects of Physical Activity on Body Composition and Basal Metabolic Rate of Taiwanese Aboriginal Children during Daily School Time

2009 ◽  
Vol 15 (1) ◽  
pp. 6-11
Author(s):  
T. H. TSAO ◽  
HSU C. H. HSU ◽  
Cheng Iuan HUANG ◽  
Huei Ying Huei Ying WU

LANGUAGE NOTE | Document text in English; abstract also in Chinese. Physical activity is one of the important factors for maintaining weight in adults and children, especially moderate-to- vigorous physical activity (MVPA). However, few studies have discussed about physical activity and body composition of aboriginal children, in spite of the differences existing between aboriginal and non-aboriginal children. As a result, the aim of this study was to investigate the effects of physical activity on the body composition and basal metabolic rate (BMR) of Taiwanese aboriginal children. Methods: Thirty boys (aged 10.7 ± 1.5 yr with a body-mass index (BMI) of 19.0 ± 4.2 kg/m2) and 26 girls (aged 10.0 ± 1.5 yr with a BMI of 18.2 ± 3.7 kg/m2) participated in this study. Bouchard's physical activity questionnaire was used to measure the physical activity level. The body composition and BMR were determined by a bioelectrical impedance analysis. Results: For all subjects, the period of school time, from leaving home to arriving back home, was totally 530 ± 38minutes. Children engaged in 353.8 ± 29.7 (66%), 121.9 ± 9.7 (23%), 37.1 ± 7.5 (7%), and 21.4 ± 7.0 (4%) minutes of sedentary, light, moderate, and vigorous levels of exercise, respectively. The accumulated time of MVPA was significantly higher for boys than for girls. In addition, after the statistical analysis, MVPA was significantly related to the percent body fat and BMR (-0.79 and 0.63; p < 0.05). Conclusions: Sufficient physical activity time, especially MVPA, benefits the maintenance of a normal BMI range for aboriginal children. 身體活動對維持成人與孩童的體重相當重要,特別是中度與激烈程度的身體活動。儘管原住民與非原住民孩童存在著差異,但原住民兒童身體活動與身體組成的關係卻很少被討論。因此,本研究目的探討身體活動對原住民兒童身體組成與基礎代謝率的影響。30位原住民男學童(年齡:10.7 ± 1.5歲,身體質量指數:19.0 ± 4.2 kg/m2)與26位原住民女學童(年齡: 10.0 ± 1.5歲,身體質量指數:18.2 ± 3.7 kg/m2)參與本研究。Bouchard身體活動問卷調查原住民學童不同程度的身體活動,並以生物電阻法原理測量身體組成與基礎代謝率。結果:在校時間,從離家至返家,總計為530 ± 38分鐘。在坐式、輕度、中度、激烈等不同程度的身體活動時間 > 分別為353.8 ± 29.7 (66%)、121.9 ± 9.7 (23%)、37.1 ± 7.5 (7%)、21.4 ± 7.0 (4%)分鐘。男原住民學童在學校累積的中度-激烈的身體活動時間顯著多於女原住民學童。再者,中度-激烈的身體活動時間與原住民學童的體脂肪百分比、基礎代謝率有顯著相關(079、0.63; p < 0.05)。結論:足夠的身體活動時間,特別是中度-激烈程度的身體活動,將有助於原住民學童維持身體質量指數在正常範圍。

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.


Author(s):  
Paweł Brzęk ◽  
Andrzej Gębczyński ◽  
Piotr Selewestruk ◽  
Aneta Książek ◽  
Julita Sadowska ◽  
...  

AbstractThe basal metabolic rate (BMR) accounts for 60–70% of the daily energy expenditure (DEE) in sedentary humans and at least 50% of the DEE in laboratory mice in the thermoneutral zone. Surprisingly, however, the significance of the variation in the BMR is largely overlooked in translational research using such indices as physical activity level (PAL), i.e., the ratio of DEE/BMR. In particular, it is unclear whether emulation of human PAL in mouse models should be carried out within or below the thermoneutral zone. It is also unclear whether physical activity within the thermoneutral zone is limited by the capacity to dissipate heat generated by exercise and obligatory metabolic processes contributing to BMR. We measured PAL and spontaneous physical activity (SPA) in laboratory mice from two lines, divergently selected towards either high or low level of BMR, and acclimated to 30 °C (i.e., the thermoneutral zone), 23 or 4 °C. The mean PAL did not differ between both lines in the mice acclimated to 30 °C but became significantly higher in the low BMR mouse line at the lower ambient temperatures. Acclimation to 30 °C reduced the mean locomotor activity but did not affect the significant difference observed between the selected lines. We conclude that carrying out experiments within the thermoneutral zone can increase the consistency of translational studies aimed at the emulation of human energetics, without affecting the variation in physical activity correlated with BMR.


2020 ◽  
Author(s):  
Cristina Lugones-Sanchez ◽  
Maria Antonia Sanchez-Calavera ◽  
Irene Repiso-Gento ◽  
Esther G Adalia ◽  
J Ignacio Ramirez-Manent ◽  
...  

BACKGROUND Mobile health (mHealth) is currently among the supporting elements that may contribute to an improvement in health markers by helping people adopt healthier lifestyles. mHealth interventions have been widely reported to achieve greater weight loss than other approaches, but their effect on body composition remains unclear. OBJECTIVE This study aimed to assess the short-term (3 months) effectiveness of a mobile app and a smart band for losing weight and changing body composition in sedentary Spanish adults who are overweight or obese. METHODS A randomized controlled, multicenter clinical trial was conducted involving the participation of 440 subjects from primary care centers, with 231 subjects in the intervention group (IG; counselling with smartphone app and smart band) and 209 in the control group (CG; counselling only). Both groups were counselled about healthy diet and physical activity. For the 3-month intervention period, the IG was trained to use a smartphone app that involved self-monitoring and tailored feedback, as well as a smart band that recorded daily physical activity (Mi Band 2, Xiaomi). Body composition was measured using the InBody 230 bioimpedance device (InBody Co., Ltd), and physical activity was measured using the International Physical Activity Questionnaire. RESULTS The mHealth intervention produced a greater loss of body weight (–1.97 kg, 95% CI –2.39 to –1.54) relative to standard counselling at 3 months (–1.13 kg, 95% CI –1.56 to –0.69). Comparing groups, the IG achieved a weight loss of 0.84 kg more than the CG at 3 months. The IG showed a decrease in body fat mass (BFM; –1.84 kg, 95% CI –2.48 to –1.20), percentage of body fat (PBF; –1.22%, 95% CI –1.82% to 0.62%), and BMI (–0.77 kg/m<sup>2</sup>, 95% CI –0.96 to 0.57). No significant changes were observed in any of these parameters in men; among women, there was a significant decrease in BMI in the IG compared with the CG. When subjects were grouped according to baseline BMI, the overweight group experienced a change in BFM of –1.18 kg (95% CI –2.30 to –0.06) and BMI of –0.47 kg/m<sup>2</sup> (95% CI –0.80 to –0.13), whereas the obese group only experienced a change in BMI of –0.53 kg/m<sup>2</sup> (95% CI –0.86 to –0.19). When the data were analyzed according to physical activity, the moderate-vigorous physical activity group showed significant changes in BFM of –1.03 kg (95% CI –1.74 to –0.33), PBF of –0.76% (95% CI –1.32% to –0.20%), and BMI of –0.5 kg/m<sup>2</sup> (95% CI –0.83 to –0.19). CONCLUSIONS The results from this multicenter, randomized controlled clinical trial study show that compared with standard counselling alone, adding a self-reported app and a smart band obtained beneficial results in terms of weight loss and a reduction in BFM and PBF in female subjects with a BMI less than 30 kg/m<sup>2</sup> and a moderate-vigorous physical activity level. Nevertheless, further studies are needed to ensure that this profile benefits more than others from this intervention and to investigate modifications of this intervention to achieve a global effect. CLINICALTRIAL Clinicaltrials.gov NCT03175614; https://clinicaltrials.gov/ct2/show/NCT03175614. INTERNATIONAL REGISTERED REPORT RR2-10.1097/MD.0000000000009633


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.


1961 ◽  
Vol 16 (3) ◽  
pp. 431-434 ◽  
Author(s):  
E. Picó;n-Reátegui

Basal metabolic rate (BMR) and body composition were determined in 17 healthy adult males living at an altitude of 14,900 ft above sea level. Using body surface area as a standard of reference and following the criterion of Boothby et al. ( Am. J. Physiol. 116: 468, 1936), the BMR of the high-altitude resident fell within the limits considered normal for healthy adults at sea level. A comparison with the data obtained by investigators in the United States and in India shows that, when either fat-free body mass (FFM), cell mass (C), or cell solids (S) are the standard of reference, the BMR is higher in the high-altitude resident. The higher O2 consumption per kilogram of FFM, C, or S in the high-altitude resident seems to be one of the many mechanisms developed by the body in its process of adaptation to the low O2 tension. Note: (With the Technical Assistance of Melquiades Huayna-Vera) Submitted on October 24, 1960


2020 ◽  
Vol 24 (5) ◽  
pp. 259-264
Author(s):  
Akan Bayrakdar ◽  
Yağmur Yıldız ◽  
Işık Bayraktar

Background and Study Aim. The aim of this study is to determine the effect of e-sports on physical activity level and body composition. Material and Methods.  The athletes who participated in the study were 19.92± 2.21 years of age, 1.73±0.04 m body height and 78.35±6.52 kg body weight. A total of 137 athletes participated in the study, including 27 from Turkey, 47 from South Korea and 63 from the United States (USA). The data was collected by e-mail from the sports clubs. The athletes who representing their country in international competitions involved in the study. The data obtained were evaluated in the SPSS program. Results.  According to the findings of the study, the body mass index (BMI) of e-sport athletes is 26.03±1.85, the number of physical activity steps is 6646±3400 and the daily e-sport hours are 9.34±1.12. The BMI was determined as USA 26.12, South Korea 26.02 and Turkey 25.84 respectively. The number of physical activity steps was identified as 5255 steps in the US, 7785 steps in South Korea and 7909 steps in Turkey. The daily e-sports hour is set at US 9.63 hours, Turkey 9.29 hours and South Korea 8.97 hours. In comparison of country-based athletes, there was a significant difference between physical activity level and daily e-sports hours at p<0.05. The value of BMI is not different. Although it is not statistically related to the physical activity level and BMI. There was no statistically significant relationship between daily e-sports hours and BMI and physical activity step counts. However, as the time of e-sports increases, BMI increases and the number of physical activity steps decreases. Conclusions.  As a result it is seen in the findings of the research that athletes dealing with e-sports are included in the fat group as a body composition and their daily physical activity steps are low. In addition, according to the results of the research, e-sports are thought to have negative effects on physical health. Thanks to the physical activity programs to be applied to these athletes, it is thought that their body composition and physical activity levels can be improved.


2020 ◽  
Vol 16 (4) ◽  
pp. 578-584
Author(s):  
Prerna P. Patel ◽  
Pinal A. Patel ◽  
Ashish D. Patel ◽  
Shashi A. Chiplonkar ◽  
Anuradha V. Khadilkar

Background: Early growth stunting has been associated with modifications in body composition and its direction differs with the local environment. Data on the association between body composition with growth and the influence of socioeconomic strata (SES) on the same is scarce in Indian adolescents. Objective: The study aimed to examine (i) the associations of SES with body composition and growth (ii) the relationship between body composition and lifestyle factors (physical activity, diet) across SES and (iii) interrelationship between the body composition and growth. Methods: A cross-sectional study on apparently healthy adolescents (10-14years, n=604) from different SES, was conducted in Gujarat, Western India. Outcome parameters included anthropometry, body composition, moderate to vigorous physical activity (MVPA) and dietary intake. Results: 84%, 66% and 39% boys, whereas 61%, 43% and 26% girls from upper, middle and lower SES respectively, were underfat; amongst upper SES, 22% boys and 8% girls were obese (p<0.001). 24% boys and 19% girls from lower SES were stunted (HAZ<-2) (p<0.001). In all SES, 0at mass (FM) showed an inverse correlation, while 0at free mass (FFM) showed a positive correlation with MVPA. Comparing the prevalence of stunting across the % body fat categories revealed that 15% of the underfat boys and 16% of the underfat girls were stunted (p<0.001). Conclusion: SES shows a significant impact on body composition with a majority of lower SES adolescents being underfat. Underfat adolescents were at a greater risk of being stunted.


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