scholarly journals Relationship between physical activity and sleep recommendations compliance and excess weight among school children from Temuco, Chile

2021 ◽  
Vol 119 (6) ◽  
Keyword(s):  
Physical Activity ◽  
School Children ◽  
Excess Weight

Socio-demographic association of non communicable diseases’ risk factors in a representative population of school children: a cross-sectional study in Sousse (Tunisia)

2016 ◽  
Vol 29 (5) ◽  
Author(s):  
Meriam El Ghardallou ◽  
Jihene Maatoug ◽  
Imed Harrabi ◽  
Sihem Ben Fredj ◽  
Sahli Jihene ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
School Children ◽  
Physical Inactivity ◽  
Cross Sectional Study ◽  
Demographic Characteristics ◽  
Excess Weight ◽  
Sectional Study ◽  
Cross Sectional ◽  
Unhealthy Diet

Abstract Introduction: A better understanding of socio-demographic characteristics of subgroups, which have a high risk to develop chronic diseases, is essential to develop more efficient interventional programs especially for youth. This study aimed to determine the association between clusters of non communicable diseases (NCDs’) risk factors and the socio-demographic characteristics among a sample of Tunisian school children. Materials and methods: We conducted, in 2013/2014, a cross-sectional study among a proportional and stratified school children sample, selected in 17 elementary public schools in Sousse (Tunisia). A cluster analysis was used to identify different NCDs risk factors clusters, based on tobacco use, physical inactivity, unhealthy diet, and excess weight. Subsequent χ2-tests were used to identify differences between the NCDs risk factors clusters in regards to socio-demographic characteristics. Results: Four clusters of NCDs risk factors were found: 1) Cluster 1: physical inactivity behavior with normal weight, 2) Cluster 2: physical inactivity behavior associated to excess weight, 3) Cluster 3: unhealthy diet associated to excess weight and low practice of physical activity, and 4) Cluster 4: smoking behavior with physical activity behavior. The pattern of cluster membership differed across sex (<10–3), school level, and socioeconomic level (<10–3) but there was no significant difference between clusters for mother’s education levels and household tenure. Conclusion: This study can have important implications for health policy and practice. Indeed, it found that many subjects have simultaneous multiple NCDs risk factors which leads to identify groups at risk and implement integrated intervention program.

Evaluation of a two-year physical activity and healthy eating intervention in middle school children

2006 ◽  
Author(s):  
L. Haerens ◽  
B. Deforche ◽  
L. Maes ◽  
G. Cardon ◽  
V. Stevens ◽  
...  
Keyword(s):  
Physical Activity ◽  
Middle School ◽  
Healthy Eating ◽  
School Children ◽  
Middle School Children

scholarly journals Context-Specific Outdoor Time and Physical Activity among School-Children Across Gender and Age: Using Accelerometers and GPS to Advance Methods

2014 ◽  
Vol 2 ◽  
Author(s):  
Charlotte Demant Klinker ◽  
Jasper Schipperijn ◽  
Jacqueline Kerr ◽  
Annette Kjær Ersbøll ◽  
Jens Troelsen
Keyword(s):  
Physical Activity ◽  
School Children ◽  
Gender And Age ◽  
Context Specific

Energy Expenditure in Playground Games in Primary School Children Measured by Accelerometer and Heart Rate Monitors

2017 ◽  
Vol 27 (5) ◽  
pp. 467-474 ◽  
Author(s):  
Jorge Cañete García-Prieto ◽  
Vicente Martinez-Vizcaino ◽  
Antonio García-Hermoso ◽  
Mairena Sánchez-López ◽  
Natalia Arias-Palencia ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Energy Expenditure ◽  
Primary School ◽  
Correlation Coefficient ◽  
School Children ◽  
Indirect Calorimetry ◽  
Coefficient Of Variation ◽  
Primary School Children ◽  
Heart Rate Monitors

The aim of this study was to examine the energy expenditure (EE) measured using indirect calorimetry (IC) during playground games and to assess the validity of heart rate (HR) and accelerometry counts as indirect indicators of EE in children´s physical activity games. 32 primary school children (9.9 ± 0.6 years old, 19.8 ± 4.9 kg · m-2 BMI and 37.6 ± 7.2 ml · kg-1 · min-1 VO2max). Indirect calorimetry (IC), accelerometry and HR data were simultaneously collected for each child during a 90 min session of 30 playground games. Thirty-eight sessions were recorded in 32 different children. Each game was recorded at least in three occasions in other three children. The intersubject coefficient of variation within a game was 27% for IC, 37% for accelerometry and 13% for HR. The overall mean EE in the games was 4.2 ± 1.4 kcals · min-1 per game, totaling to 375 ± 122 kcals/per 90 min/session. The correlation coefficient between indirect calorimetry and accelerometer counts was 0.48 (p = .026) for endurance games and 0.21 (p = .574) for strength games. The correlation coefficient between indirect calorimetry and HR was 0.71 (p = .032) for endurance games and 0.48 (p = .026) for strength games. Our data indicate that both accelerometer and HR monitors are useful devices for estimating EE during endurance games, but only HR monitors estimates are accurate for endurance games.

scholarly journals Compliance with 24-h Movement Behaviour Guidelines among Belgian Pre-School Children: The ToyBox-Study

2018 ◽  
Vol 15 (10) ◽  
pp. 2171 ◽  
Author(s):  
Marieke De Craemer ◽  
Duncan McGregor ◽  
Odysseas Androutsos ◽  
Yannis Manios ◽  
Greet Cardon
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Sleep Duration ◽  
School Children ◽  
Screen Time ◽  
Complete Data ◽  
Total Physical Activity ◽  
Movement Behaviour ◽  
Objectively Measured

The 24-h day—containing physical activity, sedentary behaviour and sleep—in pre-school children has not yet been extensively investigated. The aim of the current study was to investigate pre-schoolers’ compliance with the 24-h movement behaviour guidelines (i.e., three hours/day total physical activity, a maximum of one hour/day of screen time and 10–13 h sleep/night). In total, 595 pre-schoolers (53.3% boys, mean age: 4.2 years) provided complete data for the three behaviours. Physical activity was objectively measured with accelerometers, while screen time and sleep were parent-reported through questionnaires. The proportion of pre-schoolers complying with the 24-h movement behaviour guidelines was calculated on weekdays and on weekend days. Low compliance rates were found: 10.1% on weekdays and only 4.3% on weekend days. The majority of pre-schoolers complied with the sleep duration guidelines (>90% on weekdays and weekend days), followed by the screen time guidelines (61% on weekdays and 28% on weekend days). The lowest compliance rates were found for physical activity (<20% on weekdays and weekend days). Overall, low percentages of pre-schoolers complying with the 24-h movement behaviour guidelines were found, and the lowest compliance was found for physical activity.

scholarly journals Objectively assessed moderate-to-vigorous physical activity levels among primary school children in Norway: The Health Oriented Pedagogical Project (HOPP)

2018 ◽  
Vol 46 (21_suppl) ◽  
pp. 38-47 ◽  
Author(s):  
Wei Hai Deng ◽  
Per Morten Fredriksen
Keyword(s):  
Physical Activity ◽  
Linear Regression ◽  
Primary School ◽  
School Children ◽  
Vigorous Physical Activity ◽  
Age Groups ◽  
Participation Rate ◽  
Primary School Children ◽  
Activity Levels ◽  
Physical Activity Levels

Aims: The objective was to investigate moderate-to-vigorous physical activity levels (MVPA) of primary school children at baseline of the Health Oriented Pedagogical Project (HOPP), Norway. Methods: Data on 2123 children aged 6–12 years were included for analysis (75% participation rate). Average minutes per day in MVPA was objectively measured using accelerometry based on seven-day averages. The sample was analysed for age-, sex-, socioeconomic-, and season-related patterns. A linear regression investigated the moderating effect of these factors as well as body mass index and waist circumference. Results: Some 86.5% of the sample had at least 60 min/day MVPA, averaging 90.7 min/day. The main differences in daily averages were between age groups 6½–9 and 10–12 ( p < .05). Boys (95.8 min/day, 95% CI: 94.1–97.5) were more active than girls (85.6 min/day, 95% CI: 83.9–87.2) in all age groups ( p < .0001). MVPA was lower by 3.5 min ( p < .0001) per additional year of age in the linear regression (R2 = 0.176) and was reduced by 20 min less per day in MVPA in the winter months compared with the summer months ( p < .0001). Conclusions: Physical activity levels are already in decline from 6–7 years old and are likely to continue to decline into adolescence. Interventions must therefore focus on primary school children.

Physical activity as a dimension of family life for lower primary school children

2004 ◽  
Vol 9 (3) ◽  
pp. 307-325 ◽  
Author(s):  
Doune Macdonald ◽  
Sylvia Rodger ◽  
Jenny Ziviani ◽  
David Jenkins ◽  
Jenny Batch ◽  
...  
Keyword(s):  
Physical Activity ◽  
Primary School ◽  
School Children ◽  
Family Life ◽  
Primary School Children
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