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Government responses to managing the COVID-19 pandemic may have impacted the way individuals were able to engage in physical activity. Digital platforms are a promising way to support physical activity levels and may have provided an alternative for people to maintain their activity while at home. This study aimed to examine associations between the use of digital platforms and adherence to the physical activity guidelines among Australian adults and adolescents during the COVID-19 stay-at-home restrictions in April and May 2020. A national online survey was distributed in May 2020. Participants included 1188 adults (mean age 37.4 years, SD 15.1; 980/1188, 82.5% female) and 963 adolescents (mean age 16.2 years, SD 1.2; 685/963, 71.1% female). Participants reported demographic characteristics, use of digital platforms for physical activity over the previous month, and adherence to moderate- to vigorous-intensity physical activity (MVPA) and muscle-strengthening exercise (MSE) guidelines. Multilevel logistic regression models examined differences in guideline adherence between those who used digital platforms (ie, users) to support their physical activity compared to those who did not (ie, nonusers). Digital platforms include streaming services for exercise (eg, YouTube, Instagram, and Facebook); subscriber fitness programs, via an app or online (eg, Centr and MyFitnessPal); facilitated online live or recorded classes, via platforms such as Zoom (eg, dance, sport training, and fitness class); sport- or activity-specific apps designed by sporting organizations for participants to keep up their skills (eg, TeamBuildr); active electronic games (eg, Xbox Kinect); and/or online or digital training or racing platforms (eg, Zwift, FullGaz, and Rouvy). Overall, 39.5% (469/1188) of adults and 26.5% (255/963) of adolescents reported using digital platforms for physical activity. Among adults, MVPA (odds ratio [OR] 2.0, 95% CI 1.5-2.7), MSE (OR 3.3, 95% CI 2.5-4.5), and combined (OR 2.7, 95% CI 2.0-3.8) guideline adherence were higher among digital platform users relative to nonusers. Adolescents' MVPA (OR 2.4, 95% CI 1.3-4.3), MSE (OR 3.1, 95% CI 2.1-4.4), and combined (OR 4.3, 95% CI 2.1-9.0) guideline adherence were also higher among users of digital platforms relative to nonusers. Digital platform users were more likely than nonusers to meet MVPA and MSE guidelines during the COVID-19 stay-at-home restrictions in April and May 2020. Digital platforms may play a critical role in helping to support physical activity engagement when access to facilities or opportunities for physical activity outside the home are restricted.

Background Globally, many children fail to meet the World Health Organization’s physical activity and sedentary behaviour guidelines. Schools are an ideal setting to intervene, yet despite many interventions in this setting, success when delivered under real-world conditions or at scale is limited. This systematic review aims to i) identify which implementation models are used in school-based physical activity effectiveness, dissemination, and/or implementation trials, and ii) identify factors associated with the adoption, implementation and sustainability of school-based physical activity interventions in real-world settings. Methods The review followed PRISMA guidelines and included a systematic search of seven databases from January 1st, 2000 to July 31st, 2018: MEDLINE, EMBASE, CINAHL, SPORTDiscus, PsycINFO, CENTRAL, and ERIC. A forward citation search of included studies using Google Scholar was performed on the 21st of January 2019 including articles published until the end of 2018. Study inclusion criteria: (i) a primary outcome to increase physical activity and/or decrease sedentary behaviour among school-aged children and/or adolescents; (ii) intervention delivery within school settings, (iii) use of implementation models to plan or interpret study results; and (iv) interventions delivered under real-world conditions. Exclusion criteria: (i) efficacy trials; (ii) studies applying or testing school-based physical activity policies, and; (iii) studies targeting special schools or pre-school and/or kindergarten aged children. Results 27 papers comprising 17 unique interventions were included. Fourteen implementation models (e.g., RE-AIM, Rogers’ Diffusion of Innovations, Precede Proceed model), were applied across 27 papers. Implementation models were mostly used to interpret results ( n  = 9), for planning evaluation and interpreting results ( n  = 8), for planning evaluation ( n  = 6), for intervention design ( n  = 4), or for a combination of designing the intervention and interpreting results ( n  = 3). We identified 269 factors related to barriers ( n  = 93) and facilitators ( n  = 176) for the adoption ( n  = 7 studies), implementation ( n  = 14 studies) and sustainability ( n  = 7 studies) of interventions. Conclusions Implementation model use was predominately centered on the interpretation of results and analyses, with few examples of use across all study phases as a planning tool and to understand results. This lack of implementation models applied may explain the limited success of interventions when delivered under real-world conditions or at scale. Trial registration PROSPERO ( CRD42018099836 ).

Background Sustainable shifts in population behaviours require system-level implementation and embeddedness of large-scale health interventions. This paper aims to understand how different contexts of scaling up interventions affect mechanisms to produce intended and unintended scale up outcomes. Methods A mixed method study combining a realist perspective and systems analysis (causal loop diagrams) of scaled-up physical activity and/or nutrition interventions implemented at a state/national level in Australia (2010–18). The study involved four distinct phases: Phase 1 expert consultation, database and grey literature searches to identify scaled-up interventions; Phase 2 generating initial Context-Mechanism-Outcome configurations (CMOs) from the WHO ExpandNet framework for scaling up; Phase 3 testing and refining CMOs via online surveys and realist interviews with academics, government and non-government organisations (NGOs) involved in scale up of selected interventions ( Phase 1 ); and Phase 4 generating cross-case mid-range theories represented in systems models of scaling up; validated by member checking. Descriptive statistics were reported for online survey data and realist analysis for interview data. Results Seven interventions were analysed, targeting nutrition ( n  = 1), physical activity (n = 1), or a combination ( n  = 5). Twenty-six participants completed surveys; 19 completed interviews. Sixty-three CMO pathways underpinned successful scale up, reflecting 36 scale up contexts, 8 key outcomes; linked via 53 commonly occurring mechanisms. All five WHO framework domains were represented in the systems models. Most CMO pathways included ‘intervention attributes’ and led to outcomes ‘community sustainability/embeddedness’ and ‘stakeholder buy-in/perceived value’. Irrespective of interventions being scaled in similar contexts (e.g., having political favourability); mechanisms still led to both intended and unintended scale up outcomes (e.g., increased or reduced sustainability). Conclusion This paper provides the first evidence for mechanisms underpinning outcomes required for successful scale up of state or nationally delivered interventions. Our findings challenge current prerequisites for effective scaling suggesting other conditions may be necessary. Future scale up approaches that plan for complexity and encourage iterative adaptation throughout, may enhance scale up outcomes. Current linear, context-to-outcome depictions of scale up oversimplify what is a clearly a complex interaction between perceptions, worldviews and goals of those involved. Mechanisms identified in this study could potentially be leveraged during future scale up efforts, to positively influence intervention scalability and sustainability.

Background Despite the many health benefits, global levels of physical activity remain insufficient. Traditional approaches to promoting physical activity have shown limited success, indicating the need for innovative strategies. Human-centred design thinking (HCDT) is a creative problem-solving and solution generation approach that offers a novel method for developing tailored interventions by engaging communities and understanding their specific contexts. However, it is unclear to what extent HCDT is being applied in physical activity research. The purpose of this protocol is to specify how a scoping review will be conducted to identify, explore, and map the application of HCDT in physical activity research. Methods The scoping review protocol will follow Arksey and O’Malley’s methodological framework, encompassing five stages: identifying the research question; identifying relevant studies; selecting eligible studies; charting the data; and collating, summarising, and reporting the results. The scoping review will follow the reporting guidance in the Preferred Reporting Items for Systematic Reviews and Meta-analyses protocols (PRIMSA-P) and the PRIMSA-P checklist for reporting scoping reviews. The database literature search will be conducted using PubMed, SportDiscus, PsychINFO, CINAHL, Embase, MEDLINE, ProQuest, SCOPUS, and Web of Science. The inclusion criteria include: qualitative, quantitative, or mixed methods studies or protocol papers; full-text availability; published after 2016 and in English; and studies with explicit use of HCDT. Two reviewers will screen titles, abstracts, and full texts for inclusion. Two reviewers will extract the data from included studies using a data extraction table. Findings from the studies will be aggregated to summarise recurring themes via a narrative report. Discussion It is unknown how HCDT is currently being applied in physical activity research, despite its proven potential to address complex health challenges and offer innovative solutions. This scoping review will provide an overview of the current utilisation of HCDT, such as which HCDT approaches and activities are applied most often and where HCDT is being used for physical activity (i.e. populations, geographies). The scoping review findings will inform researchers, practitioners, and policymakers about the current state of HCDT in physical activity research. Scoping review registration This protocol has been registered within the Open Science Framework platform: https://doi.org/10.17605/OSF.IO/F94PZ ).

Background Instilling healthy dietary habits and active play in early childhood is an important public health focus. Interventions supporting the establishment of nutrition and active play behaviours in the first years of life have shown positive outcomes and long-term cost-effectiveness, however, most are research trials, with limited evidence regarding real-world application. Implementation science theories, models and frameworks (TMFs) can guide the process of research translation from trial to real-world intervention. The application of TMFs within nutrition and active play intervention studies in early childhood (< 5 years) is currently unknown. This systematic review identified the use of TMFs and barriers/ enablers associated with intervention adoption, implementation, and sustainability in early childhood nutrition and active play interventions implemented under real-world conditions. Methods Six databases were searched for peer-reviewed publications between 2000–2021. Studies were included if primary outcomes reported improvement in diet, physical activity or sedentary behaviours amongst children aged < 5 years and interventions were delivered under real-world conditions within a community and/or healthcare setting. Two reviewers extracted and evaluated studies, cross checked by a third and verified by all authors. Quality assessment of included studies was completed by two authors using the Mixed Methods Appraisal Tool (MMAT). Results Eleven studies comprising eleven unique interventions were included. Studies represented low, middle and high-income countries, and were conducted across a range of settings. Five TMFs were identified representing four of Nilsen’s implementation model categories, predominantly ‘evaluation models’. Ninety-nine barriers/facilitators were extracted across the three intervention phases—Implementation ( n  = 33 barriers; 33 facilitators), Sustainability ( n  = 19 barriers; n  = 9 facilitators), Adoption ( n  = 2 barriers; n  = 3 facilitators). Identified barriers/facilitators were mapped to the five domains of the Durlak and DuPre framework, with ‘funding’, ‘compatibility’ and ‘integration of new programming’ common across the three intervention phases. Conclusions Findings demonstrate that there is no systematic application of TMFs in the planning, implementation and/or evaluation of early childhood nutrition and active play interventions in real-world settings, and selective and sporadic application of TMFs occurs across the intervention lifespan. This apparent limited uptake of TMFs is a missed opportunity to enhance real-world implementation success. Trial registration PROSPERO (CRD42021243841).

Background Active recreation contributes to child and adolescent physical activity, however, factors affecting uptake are poorly understood at the systems level. The aims of this study were: (1) to use systems analysis methods to understand youth active recreation in Victoria, Australia, (ii) identify potential system leverage points to enhance active recreation, and (iii) explore stakeholder views of systems analysis methods for informing practice and policy decision-making. Methods Phase 1 : Umbrella review of systematic reviews (2013–2018), synthesising evidence for correlates, determinants and intervention evidence for promoting active recreation. Phase 2 : Development of three systems models (ActorMap and two ActivMaps), depicting active recreation actors/organisations, correlates, determinants and intervention evidence. Phase 3 : Development of causal loop diagrams (CLDs) and identification of leverage points based on the Action Scales Model. Phase 4 : Model feedback via stakeholder interviews ( n  = 23; 16 organisations). Results From the literature, 93 correlates and determinants, and 49 intervention strategies were associated with child and adolescent active recreation; the majority located at a social or individual level. Ten potential system leverage points were identified in the CLDs, which differed for pre-schoolers versus children and adolescents. Only time outdoors (an event leverage point) emerged for all age groups. Changes to the built and natural environment (i.e., land use planning, urban design) as a complete domain was a key structural leverage point for influencing active recreation in children and adolescents. Subject matter experts and stakeholder interviews identified 125 actors operating across seven hierarchical active recreation system levels in Victoria. Stakeholder interviews identified 12 areas for future consideration and recommendations for practice/policy influence. Conclusions Our findings underscore the need for dynamic models of system behaviour in active recreation, and to capture stakeholder influence as more than a transactional role in evidence generation and use. Effective responses to youth inactivity require a network of interventions that target specific leverage points across the system. Our models illustrate areas that may have the greatest system-level impact, such as changes to the built and natural environment, and they provide a tool for policy, appraisal, advocacy, and decision-making within and outside of government.

PurposeLittle is known about the experiences of school leaders adopting and implementing real-world, scaled-up physical activity interventions in the Australian educational system. Transform-Us! is a novel physical activity and sedentary behaviour intervention available to all primary schools in Victoria, Australia, since September 2018. This study explored barriers and facilitators experienced by school leaders during the adoption and early implementation phases of Transform-Us!.Design/methodology/approachQualitative study involving seven semi-structured telephone interviews with school leaders implementing Transform-Us! in primary schools in Victoria, Australia. Interview schedules were developed based on the theoretical domains framework (TDF). Interviews were coded using a framework analysis approach.FindingsFour key themes emerged relating to ten of the 14 TDF domains. Themes included: knowledge, goals, implementation factors and leadership. School leaders play a central role in creating a positive implementation environment including the delivery setting (classroom) and a supportive culture (knowledge sharing) in the school. The application of the TDF to the study bridges the gap between theory and practice and identifies potential future implementation strategies which may be further tested in professional practice future studies. Recommendations for increased adoption and sustained implementation related to seven core areas: presence of a school/programme champion(s); collaborative knowledge sharing; online training; school-based workshops; promotion of behavioural and mental health outcomes; teacher autonomy in delivery; and a supportive implementation environment.Originality/valueSchool leaders have a unique scope to influence the adoption and implementation of physical activity and sedentary behaviour interventions. This study outlines specific barriers and facilitators for implementation of a physical activity programme in the Australian educational setting and offers recommendations for programme optimisation.

Abstract The World Health Organization ExpandNet framework for scaling up contains key recommendations to support the scaling of health interventions globally. Despite being widely used, it is not known how the framework informs intervention scale-up nor how ‘successful’ scale-up is defined. Using data from the Scaling Up InTErventions’ study, this paper assessed adoption of framework components using an international sample of scaled-up physical activity and nutrition interventions, and explored individuals’ definitions of scale-up ‘success’. An online survey with academic, community, and government representatives involved in scaling physical activity and nutrition interventions globally. Survey questions (n = 27) corresponded to 32 components of the ExpandNet framework, reflecting four core areas: (i) intervention; (ii) user organization; (iii) resource team; and (iv) scale-up strategy. Data were analysed descriptively and qualitative free-text survey responses coded thematically. In total, 62 survey responses were obtained [academia (n = 32), community (n = 20), and government (n = 10)], corresponding to 35 scaled-up interventions. Only 8% of participants reported all 32 framework components during scale-up. Four core elements (containing eight themes) underpinned successful scale-up: (i) scaling inputs (e.g., sustained partner buy-in); (ii) scaling outputs (e.g., sustained, quality implementation); (iii) scaling outcomes (e.g., increased and equitable reach, improved organization and system capacity) and; (iv) scaling context (e.g., partner mental models, and a context-specific construct). There is no universal definition of successful scale-up. We propose core elements of ‘successful scale-up’ that could be used as criteria for scale-up planning and evaluation, and are applicable to other areas of public health. Influences on scale-up and definitions of scale-up ‘success’ that include scaling inputs, outputs, outcomes, and context. Lay Summary Sustainable and effective at-scale implementation of interventions is a core objective for many policymakers, practitioners, and researchers. Despite increasing urgency to improve the effectiveness and sustainability of scale-up efforts, there is little generalizable knowledge of what is required to successfully scale interventions that target physical activity and nutrition. In 2009, the World Health Organization (WHO), in collaboration with the ExpandNet group, developed a framework for scaling up, containing four core areas to support the scaling of health interventions globally. However, it is not known whether recommendations from this framework are adopted in practice, which factors influence the real-world scale-up of physical activity and nutrition interventions worldwide, or how ‘successful scale-up’ is defined and operationalized in practice. In this paper, our aims were to: (i) identify key factors that influenced an international sample of scaled-up physical activity and nutrition interventions; (ii) assess adoption of the WHO ExpandNet framework components among these scaled-up interventions, and how adoption varied at different phases of scale-up; and (iii) identify core criteria underpinning stakeholder definitions of successful scale-up. Online survey data were collected from 62 individuals involved in scaling up interventions, representing academic (n = 32), government (n = 10), and non-government organizations (NGO, n = 20). Key findings include: all four core areas of the WHO ExpandNet framework were relevant to the scaling up of interventions; however, only a minority of participants (8%) reported that all 32 framework components were present. Scale-up can be achieved based on a vast array of contributing factors. A greater number and diversity of channels for dissemination were used during rather than prior to scale-up, suggesting that dissemination channels may become increasingly important once scale-up had commenced. There was no single, consistent definition of a successful scale-up and participants’ responses were described as a multifaceted construct. Critically, ‘successful scale-up’ included an array of factors that were beyond solely the intervention and its impact on health (e.g. sustained government resources and buy-in for implementation). We propose a comprehensive, practice-led definition that includes perceptions and beliefs of individuals, the role of complexity and context, and intervention and implementation outcomes for equitable impact and sustainability. The key themes underpinning elements of ‘successful scale-up’ we identified may be useful for scale-up planning and evaluation, and applicable to other areas of public health

(1) Background: Regular physical activity (PA) plays an important role during early childhood physical and psychological development. This study investigates the effects of a 9-month PA intervention on physiological characteristics and motor and cognitive skills in preschool children. (2) Methods: Preschool children (n = 132; age 4 to 7 years) attending regular preschool programs were nonrandomly assigned to PA intervention (n = 66; 60 min sessions twice per week) or a control group (n = 66; no additional organized PA program) for 9 months. Exercise training for the intervention group included various sports games, outdoor activities, martial arts, yoga, and dance. Anthropometry, motor skills (7 tests), and cognitive skills (Raven’s Colored Progressive Matrices and Cognitive Assessment System) were assessed before and after an intervention period in both groups. Data were analyzed using repeated-measures ANOVA. (3) Results: Body weight significantly increased in both groups over time. Compared to the changes observed in the control group, the intervention group significantly increased in chest circumference (p = 0.022). In contrast, the control group demonstrated an increase in waist circumference (p = 0.001), while these measures in the intervention group remained stable. Participants in the intervention group improved running speed (p = 0.016) and standing broad jump (p = 0.000). The flexibility level was maintained in the intervention group, while a significant decrease was observed in the control group (p = 0.010). Children from the intervention group demonstrated progress in the bent-arm hang test (p = 0.001), unlike the control group subjects. Varied improvements in cognitive skills were observed for different variables in both intervention and control groups, with no robust evidence for PA-intervention-related improvements. (4) Conclusions: Preschool children’s participation in a preschool PA intervention improves their motor skills.