The effect of a classroom activity break on physical activity levels and adiposity in primary school children

2016 ◽  
Vol 52 (7) ◽  
pp. 745-749 ◽  
Author(s):  
Clare Drummy ◽  
Elaine M Murtagh ◽  
David P McKee ◽  
Gavin Breslin ◽  
Gareth W Davison ◽  
...  
Keyword(s):  
Physical Activity ◽  
Primary School ◽  
School Children ◽  
Primary School Children ◽  
Activity Levels ◽  
Classroom Activity ◽  
Physical Activity Levels

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.

Pedometer determined physical activity levels in primary school children from central England

2007 ◽  
Vol 44 (5) ◽  
pp. 416-420 ◽  
Author(s):  
Michael J. Duncan ◽  
Yahya Al-Nakeeb ◽  
Lorayne Woodfield ◽  
Mark Lyons
Keyword(s):  
Physical Activity ◽  
Primary School ◽  
School Children ◽  
Primary School Children ◽  
Activity Levels ◽  
Physical Activity Levels

Active Classrooms: A Cluster Randomized Controlled Trial Evaluating the Effects of a Movement Integration Intervention on the Physical Activity Levels of Primary School Children

2017 ◽  
Vol 14 (4) ◽  
pp. 290-300 ◽  
Author(s):  
Rosemarie Martin ◽  
Elaine Murtagh
Keyword(s):  
Physical Activity ◽  
Primary School ◽  
School Children ◽  
Controlled Trial ◽  
Intervention Group ◽  
Primary School Children ◽  
Activity Levels ◽  
Significant Difference ◽  
Physical Activity Levels

Background:A cluster randomized controlled trial was conducted to assess the effectiveness of the Active Classrooms intervention, which integrates movement into academic lessons, on the moderate-to-vigorous physical activity levels (MVPA) of primary school children during class-time and throughout the school day.Methods:Ten classroom teachers and their students aged 8 to 12 years were recruited and randomized into the Active Classrooms intervention group (n = 131students, n = 5teachers) or a delayed-treatment controlled group (n = 117students, n = 5teachers). The intervention group participated in active academic lessons taught by the classroom teacher over an 8 week period. Accelerometers were used to gather physical activity data at baseline, postintervention and at 4 months follow-up. Teachers completed a questionnaire to evaluate the program.Results:A significant difference for change in daily class time MVPA levels was identified between the treatment (n = 95) and control (n = 91) groups from pre- to postintervention (P < .001) and this difference was maintained at follow-up (P < .001). No significant difference emerged between the treatment and control groups for change in school day MVPA levels from pre- to postintervention (P = .52) or follow-up (P = .09). Teachers reported that they were highly satisfied with the program.Conclusions:Movement integration has the potential to improve physical activity levels of primary school children in the classroom.

scholarly journals Objectively determined physical activity levels of primary school children in south-west Germany

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Sarah Kettner ◽  
Susanne Kobel ◽  
Nanette Fischbach ◽  
Clemens Drenowatz ◽  
Jens Dreyhaupt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Primary School ◽  
School Children ◽  
West Germany ◽  
Primary School Children ◽  
Activity Levels ◽  
South West ◽  
Physical Activity Levels

scholarly journals The Use of Cluster Analysis for Non-Continuous Variables in the Assessment of Dietary Behaviours and Physical Activities in Primary School Children

2015 ◽  
Vol 43 (1) ◽  
pp. 121-136
Author(s):  
Magdalena Zalewska ◽  
Agnieszka Genowska ◽  
Jacek Jamiołkowski ◽  
Rafał Nowak ◽  
Andrzej Szpak ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cluster Analysis ◽  
Primary School ◽  
School Children ◽  
Dietary Habits ◽  
Eating Habits ◽  
Activity Level ◽  
Primary School Children ◽  
Activity Levels ◽  
Physical Activity Levels

Abstract Physical activity, along with proper nutrition, is a very important element in child development. Lack of everyday, regular physical activity among young people is a public health problem. The aim of the study was to use cluster analysis to assess the relationship between nutrition and physical activity levels of primary school children. The study included 682 students from randomly selected elementary schools and was performed using a proprietary questionnaire during the 2013/2014 school year. The questionnaire contained questions about eating habits and physical activity, as well as the socio-economic conditions of families. Clusters of students of similar dietary habits were identified using cluster analysis and subsequently compared in terms of physical activity level. We identified four clusters, characterized by relative internal homogeneity and at the same time variability between one another in terms of number of meals throughout the day and time of their consumption. The most important characteristic of Cluster 1 was eating four meals a day including breakfast, which is the most important meal of the day. The diets of children in Cluster 2 abounded with raw vegetables and fruits. Students in Cluster 3 were characterized by a regular and varied diet. The least appropriate behaviour in the field of nutrition was observed among students belonging to Cluster 4. Cluster analysis in the studied population allowed relationships between dietary habits and physical activity to be described. By using the UIAF indicator (Moderate to Intense Physical Activity), a statistically significant association between the eating habits of the children and their physical activity levels was observed. A sufficient level of physical activity was observed in most students belonging to Cluster 3, and high levels of physical activity were observed in a small percentage of children belonging Cluster 4. An average level of physical activity was observed in a high percentage of children belonging to Cluster 4. Low levels of physical activity were most frequently observed in Clusters 4 and 1 and least frequently observed in Cluster 3. All of the identified active forms of free-time activity were most commonly acknowledged in Cluster 3. The study supports a beneficial relationship between students’ eating behaviours and physical activity.

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