TARGETing secondary school students' motivation towards physical education: The role of student-perceived mastery climate teaching strategies.

The aim of the present study was to explore the impact of TARGET-based teaching strategies on students' motivation in a Dutch secondary school PE context. We examined to what extent mastery climate teaching strategies perceived by students (independently or interactively) explain variability in students' motivation towards PE. In total 3,150 students (48.2% girls; 51.8% boys) with a mean age of 13.91 years (SD = 1.40) completed the Behavioural Regulations in Physical Education Questionnaire (BRPEQ), measuring students' autonomous motivation, controlled motivation and amotivation, and the Mastery Teaching Perception Questionnaire (MTP-Q), measuring student-perceived application of mastery TARGET teaching strategies. Hierarchical regression analyses indicated that after controlling for gender, age, and educational type, the predictive effects of the perceived mastery climate teaching strategies differed by motivational outcome. Overall, students who reported higher levels of perceived application of mastery TARGET teaching strategies showed more autonomous motivation and less amotivation. Specifically, the teaching strategies within the task structure were the strongest predictors for students' autonomous motivation and amotivation. No meaningful statistically significant two-way interaction effects between any of the TARGET variables were found, supporting the proposition of an additive relationship between the TARGET teaching strategies.

Similar but different: Profiling secondary school students based on their perceived motivational climate and psychological need-based experiences in physical education.

The purpose of this study was to provide more insight into how the physical education (PE) context can be better tailored to the diverse motivational demands of secondary school students. Therefore, we examined how different constructs of student motivation in the context of PE combine into distinct motivational profiles, aiming to unveil motivational similarities and differences between students' PE experiences. Participants were 2,562 Dutch secondary school students, aged 12-18, from 24 different schools. Students responded to questionnaires assessing their perception of psychological need satisfaction and frustration, and perceived mastery and performance climate in PE. In order to interpret the emerging profiles additional variables were assessed (i.e. demographic, motivational and PE-related variables). Two-step cluster analysis identified three meaningful profiles labelled as negative perceivers, moderate perceivers and positive perceivers. These three profiles differed significantly with regard to perceived psychological need satisfaction and frustration and their perception of the motivational climate. This study demonstrates that students can be grouped in distinct profiles based on their perceptions of the motivational PE environment. Consequently, the insights obtained could assist PE teachers in designing instructional strategies that target students' differential motivational needs.

Critical Hours and Important Environments: Relationships between Afterschool Physical Activity and the Physical Environment Using GPS, GIS and Accelerometers in 10-12-Year-Old Children.

INTRODUCTION: The objective of this study was to assess relationships between children's physical environment and afterschool leisure time physical activity (PA) and active transport. METHODS: Children aged 10-12 years participated in a 7-day accelerometer and Global Positioning Systems (GPS) protocol. Afterschool leisure time PA and active transport were identified based on location- and speed-algorithms based on accelerometer, GPS and Geospatial Information Systems (GIS) data. We operationalized children's exposure to the environment by combining home, school and the daily transport environment in individualized daily activity-spaces. RESULTS: In total, 255 children from 20 Dutch primary schools from suburban areas provided valid data. This study showed that greenspaces and smaller distances from the children's home to school were associated with afterschool leisure time PA and walking. Greater distances between home and school, as well as pedestrian infrastructure were associated with increased cycling. CONCLUSION: We demonstrated associations between environments and afterschool PA within several behavioral contexts. Future studies are encouraged to target specific behavioral domains and to develop natural experiments based on interactions between several types of the environment, child characteristics and potential socio-cognitive processes.

Physical activity energy expenditure in Dutch adolescents: contribution of active transport to school, physical education, and leisure time activities.

BACKGROUND: Detailed knowledge about physical activity energy expenditure (PAEE) can guide the development of school interventions aimed at reducing overweight in adolescents. However, relevant components of PAEE have never been objectively quantified in this population. This study investigated the contribution of active transport to and from school, physical education (PE), and leisure time activities to total PAEE during a regular school week in adolescents. METHODS: Seventy-three adolescents (mean age: 15.7 years) wore an individually calibrated combined heart rate-acceleration monitor and kept an activity diary during a regular school week. Branched equation modeling was used to calculate PAEE of the specific activity categories, and their relative contribution to total PAEE was determined. RESULTS: Active transport and PE contributed 30.0% and 17.4%, respectively, to school-related PAEE. Active transport to and from school contributed 15% to total PAEE. Youth with a high physical activity level (PAL) spent 4 hours less in sedentary behavior than subjects with a medium or low PAL (F = 77.415 (2.70), p < .001) and had higher PAEE during leisure time sports (F = 9.135 (2.70), p < .001) and work-related activities (F = 10.583 (2.70), p < .001) than youth with medium or low PAL values. CONCLUSIONS: Active transport and PE contribute significantly to PAEE during school hours in adolescents. To achieve an increase in total PAEE in the least active group of adolescents, promising strategies might be to reduce inactive behavior, increase participation in leisure time sports, and possibly to replace inactive for active jobs.

Direct and indirect influence of physical education-based interventions on physical activity: a review.

BACKGROUND: Physical education (PE) has the potential of stimulating physical activity (PA) in children and adolescents in a direct and an indirect manner. By providing in-class activity, PE could directly contribute to the accumulation of physical activity. In addition, it is often claimed that PE could have an effect on physical activity by stimulating out-of-class activity, or even physical activity in adult life. METHODS: We reviewed intervention studies using a PE component that directly or indirectly aimed to increase physical activity in primary and secondary school students. An electronic literature search was conducted and articles' reference lists were scanned for additional papers. RESULTS: Fourteen studies matched our criteria. A review of these studies showed that interventions are able to directly increase activity in PE classes with relatively simple modifications, whereas the evidence for increasing out-of-class PA through interventions utilizing PE as a component is less convincing. CONCLUSIONS: We propose that evidence-based interventions aimed at increasing PA in children and adolescents through PE should at this moment be aimed at the direct effect of PE. There is a need for high quality PE-based interventions directed at out-of-class activity and long-term active life style.