Hods One hundred and twenty-nine 9- to 10-yr-old children wore a wrist-mounted GENEActiv accelerometer (GAwrist) and a hip-mounted ActiGraph GT3X+ accelerometer (AGhip) for 7 d. Both devices measured raw accelerations, and the AGhip also provided count-based data. Results More children wore the GAwrist than those from the AGhip regardless of wear time criteria applied (P < 0.001–0.035). Raw data signal vector magnitude (r = 0.68), moderate PA (MPA) (r = 0.81), vigorous PA (VPA) (r = 0.85), and moderate-to-vigorous PA (MVPA) (r = 0.83) were strongly associated between devices (P < 0.001). GAwrist signal vector magnitude (P = 0.001), MPA (P = 0.037), VPA (P = 0.002), and MVPA (P = 0.016) were significantly greater than those from the AGhip. According to GAwrist raw data, 86.9% of children engaged in at least 60 min·d−1 of MVPA, compared with 19% for AGhip. ActiGraph MPA (raw) was 42.00 ± 1.61 min·d−1 compared with 35.05 ± 0.99 min·d−1 (counts) (P = 0.02). ActiGraph VPA was 7.59 ± 0.46 min·d−1 (raw) and 37.06 ± 1.85 min·d−1 (counts; P = 0.19). Conclusions In children, accelerometer wrist placement promotes superior compliance than the hip. Raw accelerations were significantly higher for GAwrist compared with those for AGhip possibly because of placement location and technical differences between devices. AGhip PA calculated from raw accelerations and counts differed substantially, demonstrating that PA outcomes derived from cut points for raw output and counts cannot be directly compared....

Background: UK and global policies recommend whole-school approaches to improve childrens’ inadequate physical activity (PA) levels. Yet, recent meta-analyses establish current interventions as ineffective due to suboptimal implementation rates and poor sustainability. To create effective interventions, which recognise schools as complex adaptive sub-systems, multi-stakeholder input is necessary. Further, to ensure ‘systems’ change, a framework is required that identifies all components of a whole-school PA approach. The study’s aim was to co-develop a whole-school PA framework using the double diamond design approach (DDDA).Methodology: Fifty stakeholders engaged in a six-phase DDDA workshop undertaking tasks within same stakeholder (n= 9; UK researchers, public health specialists, active schools coordinators, headteachers, teachers, active partner schools specialists, national organisations, Sport England local delivery pilot representatives and international researchers) and mixed (n= 6) stakeholder groupings. Six draft frameworks were created before stakeholders voted for one ‘initial’ framework. Next, stakeholders reviewed the ‘initial’ framework, proposing modifications. Following the workshop, stakeholders voted on eight modifications using an online questionnaire.Results: Following voting, the Creating Active Schools Framework (CAS) was designed. At the centre, ethos and practice drive school policy and vision, creating the physical and social environments in which five key stakeholder groups operate to deliver PA through seven opportunities both within and beyond school. At the top of the model, initial and in-service teacher training foster teachers’ capability, opportunity and motivation (COM-B) to deliver whole-school PA. National policy and organisations drive top-down initiatives that support or hinder whole-school PA.Summary: To the authors’ knowledge, this is the first time practitioners, policymakers and researchers have co-designed a whole-school PA framework from initial conception. The novelty of CAS resides in identifying the multitude of interconnecting components of a whole-school adaptive sub-system; exposing the complexity required to create systems change. The framework can be used to shape future policy, research and practice to embed sustainable PA interventions within schools. To enact such change, CAS presents a potential paradigm shift, providing a map and method to guide future co-production by multiple experts of PA initiatives ‘with’ schools, while abandoning outdated traditional approaches of implementing interventions ‘on’ schools.

The purpose of this study was to assess physical activity levels during high school physical education lessons. The data were considered in relation to recommended levels of physical activity to ascertain whether or not physical education can be effective in helping young people meet health-related goals. Sixty-two boys and 60 girls (aged 11–14 years) wore heart rate telemeters during physical education lessons. Percentages of lesson time spent in moderate-and-vigorous (MVPA) and vigorous intensity physical activity (VPA) were recorded for each student. Students engaged in MVPA and VPA for 34.3 ± 21.8 and 8.3 ± 11.1% of lesson time, respectively. This equated to 17.5 ± 12.9 (MVPA) and 3.9 ± 5.3 (VPA) min. Boys participated in MVPA for 39.4 ± 19.1% of lesson time compared to the girls (29.1 ± 23.4%; P < 0.01). High-ability students were more active than the average- and low-ability students. Students participated in most MVPA during team games (43.2 ± 19.5%; P < 0.01), while the least MVPA was observed during movement activities (22.2 ± 20.0%). Physical education may make a more significant contribution to young people's regular physical activity participation if lessons are planned and delivered with MVPA goals in mind.

Forty studies reporting physical activity during middle and high school physical education (PE) classes were reviewed. Students engaged in moderate-to-vigorous physical activity (MVPA) for 27% to 47% of class time. Intervention strategies were successful in increasing MVPA. During nonintervention classes the highest levels of MVPA occurred in invasion games and fitness activities. Movement activities stimulated the lowest levels. Boys and girls spent 40% of class time in MVPA. Differences in MVPA during PE were also methodology dependent. PE classes can complement other school-based opportunities to contribute to young people’s daily physical activity.