scholarly journals Relationship of exercise at preschool and out of school and daily physical activity to physical fitness in preschool children in the Kanto region: a cross-sectional study

2014 ◽  
Vol 63 (3) ◽  
pp. 323-331
Author(s):  
Chiaki Tanaka ◽  
Yuki Hikihara ◽  
Takafumi Ando ◽  
Kazunori Ohkawara ◽  
Chiyoko Usui ◽  
...  
Keyword(s):  
Physical Activity ◽  
Preschool Children ◽  
Physical Fitness ◽  
Cross Sectional Study ◽  
Daily Physical Activity ◽  
Sectional Study ◽  
Cross Sectional ◽  
Kanto Region ◽  
Relationship Of ◽  
Out Of School

scholarly journals Design of a cross-sectional study on physical fitness and physical activity in children and adolescents after burn injury

2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Laurien M Disseldorp ◽  
Leonora J Mouton ◽  
Tim Takken ◽  
Marco Van Brussel ◽  
Gerard IJM Beerthuizen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Fitness ◽  
Children And Adolescents ◽  
Burn Injury ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Association between objectively measured body composition, sleep parameters and physical activity in preschool children: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e042669
Author(s):  
Justyna Wyszyńska ◽  
Piotr Matłosz ◽  
Muhammad Asif ◽  
Agnieszka Szybisty ◽  
Paweł Lenik ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Preschool Children ◽  
Muscle Mass ◽  
Sleep Duration ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Sleep Parameters ◽  
Objectively Measured

ObjectiveAssociations between self-reported sleep duration and obesity indices in children are well recognised; however, there are no studies on associations between objectively measured other sleep parameters and physical activity with body composition in preschoolers. Therefore, the aim of this study was to determine the associations between sleep parameters and moderate-to-vigorous physical activity (MVPA) with body composition indices in preschoolers using objective measures.DesignA cross-sectional study.ParticipantsThe study group consisted of 676 children aged 5–6 years, who were enrolled in kindergartens in the 2017/2018 school year.Outcome measuresSleep parameters and MVPA were measured using accelerometers for 7 days. Bioelectrical impedance analysis was used to estimate body composition.ResultsSleep duration and sleep efficiency were inversely associated with body fat percentage (BFP) (β=−0.013 and β from –0.311 to −0.359, respectively) and body mass index (BMI) (β from −0.005 to −0.006 and from −0.105 to –0.121, respectively), and directly associated with fat-free mass (FFM) (β from 0.010 to 0.011 and from 0.245 to 0.271, respectively) and muscle mass (β from 0.012 to 0.012 and from 0.277 to 0.307, respectively) in unadjusted and adjusted models. BFP was inversely associated with MVPA and positively associated with number of awakenings and sleep periods. Number of sleep periods was inversely associated with FFM, and positively with BMI and muscle mass. Correlation matrix indicated significant correlation between BFP, FFM and muscle mass with sleep duration, sleep efficiency, number of sleep periods and MVPA.ConclusionsPeriodic assessment of sleep parameters and MVPA in relation to body composition in preschool children may be considered, especially in those who are at risk for obesity.

Distinct Methods for Assessing Compliance With a Physical Activity Guideline for Children in Preschools

2019 ◽  
Vol 16 (10) ◽  
pp. 902-907 ◽  
Author(s):  
Connie L. Tompkins ◽  
Erin K. Shoulberg ◽  
Lori E. Meyer ◽  
Caroline P. Martin ◽  
Marissa Dennis ◽  
...  
Keyword(s):  
Physical Activity ◽  
Preschool Children ◽  
Average Method ◽  
Cross Sectional Study ◽  
Physical Activity Guideline ◽  
Institute Of Medicine ◽  
Sectional Study ◽  
Cross Sectional ◽  
Guideline Compliance ◽  
The Us

Background: According to the US Institute of Medicine guideline, preschool-aged children should participate in ≥15 minutes of physical activity (PA) per hour or 3 hours per day over 12 hours. Examinations of PA guideline compliance to date averaged time spent in PA over several days; however, children could exceed the guideline on some days and not on others. Therefore, this cross-sectional study examined PA guideline compliance in preschool children based on number of minutes per hour (average method) and percentage of days the guideline was met (everyday method). Methods: PA was measured by accelerometry during the preschool day for up to 10 days in 177 children (59.3% males, Mage = 4.23). Minutes per hour and percentage of time in light, moderate to vigorous, and total PAs were calculated. Percentage of days in compliance was determined by number of days in compliance (defined as the child active on average ≥15 min/h) divided by total accelerometer days. Results: Children engaged in PA, on average, 17.01 minutes per hour, suggesting that on average, children are meeting the guideline. However, children were only in compliance with the PA guideline 62.41% of assessment days. Conclusions: Findings demonstrate the importance of examining compliance with both the average and everyday methods to more accurately portray level of Institute of Medicine PA guideline compliance.

scholarly journals Socio-cultural determinants of adiposity and physical activity in preschool children: A cross-sectional study

2010 ◽  
Vol 10 (1) ◽  
Author(s):  
Flavia Bürgi ◽  
Ursina Meyer ◽  
Iris Niederer ◽  
Vincent Ebenegger ◽  
Pedro Marques-Vidal ◽  
...  
Keyword(s):  
Physical Activity ◽  
Preschool Children ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Cultural Determinants

scholarly journals The Sedentary Time and Physical Activity Levels on Physical Fitness in the Elderly: A Comparative Cross Sectional Study

2019 ◽  
Vol 16 (19) ◽  
pp. 3697 ◽  
Author(s):  
Fernanda M. Silva ◽  
João Petrica ◽  
João Serrano ◽  
Rui Paulo ◽  
André Ramalho ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Fitness ◽  
Upper Limb ◽  
Sedentary Time ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Active Group ◽  
Sectional Study ◽  
Cross Sectional ◽  
Inactive Group

Background: Ageing is a life-long process characterized by a progressive loss of physical fitness compromising strength, flexibility, and agility. The purpose of this study was to use accelerometry to examine the relationship between sedentary time, light physical activity (LPA), and moderate to vigorous physical activity (MVPA) with the elderly’s physical fitness. Additionally, we aimed to examine the association between the aforementioned variables on older adults who fulfilled global recommendations on physical activity for health and on those who did not fulfil these recommendations. Methods: Eighty-three elderly (mean ± SD: 72.14 ± 5.61 years old) of both genders volunteered to participate in this cross-sectional study, being divided into an active group (n = 53; 71.02 ± 5.27 years old) and an inactive group (n = 30; 74.13 ± 5.72 years old) according to the established guidelines. Sedentary and physical activity times were assessed using an ActiGraph® GT1M accelerometer, whereas physical fitness was evaluated with the Senior Fitness Test. Results: MVPA time was correlated with lower body mass index (BMI) ((rs = −0.218; p = 0.048; −0.3 < r ≤ −0.1 (small)) and shorter time to complete the agility test ((rs = −0.367; p = 0.001; −0.5 < r ≤ −0.3 (low)). Moreover, MVPA time was positively correlated with aerobic endurance ((rs = 0.397; p = 0.000; 0.5 < r ≤ 0.3 (low)) and strength ((rs = 0.243; p = 0.027; 0.3 < r ≤ 0.1 (small)). In the inactive group, MVPA time was positively correlated with upper limb flexibility ((rs = 0.400; p = 0.028; 0.5 < r ≤ 0.3 (low)); moreover, sedentary time was negatively correlated with upper limb flexibility ((r = −0.443; p = 0.014; −0.5 < r ≤ −0.3 (low)), and LPA time was negatively correlated with BMI ((r = −0.423; p = 0.020; −0.5 < r ≤ −0.3 (low)). In the active group, MVPA time was correlated with lower BMI ((rs = −0.320; p = 0.020; −0.5 < r ≤ −0.3 (low)), and shorter time to complete agility test ((rs = −0.296; p = 0.031; −0.3 < r ≤ −0.1 (small)). Conclusions: Our results reinforce the importance of promoting MVPA practice among the elderly, thereby allowing physical fitness maintenance or improvement.

Environment factors associated with adolescents’ body mass index, physical activity and physical fitness in Kuching South City, Sarawak: a cross-sectional study

2012 ◽  
Vol 24 (4) ◽  
pp. 331-337 ◽  
Author(s):  
Whye L. Cheah ◽  
Ching T. Chang ◽  
Rosalia Saimon
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Physical Fitness ◽  
Body Mass ◽  
Well Being ◽  
Cross Sectional Study ◽  
Neighborhood Environment ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Mean

Abstract This study examined the relationship between perceived built environment attributes and physical activity, physical fitness and body weight among adolescents aged 14–16 years in Sarawak. This was a cross-sectional study, using multi-stage sampling. A set of questionnaires consisting of socio-demographic information, a self-administered physical activity checklist and a Neighborhood Environment Walkability Scale-Youth (NEWS-Y) was used. Body mass index (BMI) was measured and physical fitness was tested using a maximal multistage 20 m shuttle run test. Data analysis was done using SPSS version 17.0. A total of 316 respondents participated. The mean BMI for boys was almost equal to the mean BMI for girls. Only 7.9% of the sampled population was found to be overweight or obese. The overall mean duration spent per day on physical activity was 128.4 min (SD 118.43), with mean of 56.1 min (SD 73.94) after school time. Girls reported to spend longer each day taking physical activity before and during school. Boys were found to have significantly higher VO2max of 27.79±5.91 mL/kg/min as compared to girls (t=11.22, p<0.000). Based on comparison with other countries, the NEWS-Y scores indicated a mixture of low and high walkability neighborhoods. Respondents who had lower BMIs reported living in lower residential density areas and less risk of crime, and respondents who had better physical fitness reported less suitable infrastructure for walking. Promotion of exercise at all levels should be continuously encouraged as it would lead to improvement in the well-being of an individual.

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