Developmental trends in young children's device-measured physical activity and sedentary behaviour.

BACKGROUND: Knowledge of developmental trends in meeting age-specific 24-hour movement behaviour guidelines is lacking. This study describes developmental trends in device-measured physical activity and sedentary time over a three-year period among Western Australian children aged two to seven years, including differences between boys and girls. The proportion of children meeting age-specific physical activity guidelines before and after they transition to full-time school was also examined. METHODS: Data from waves 1 and 2 of the Play Spaces and Environments for Children's Physical Activity (PLAYCE) cohort study were used (analysis n = 1217). Physical activity and sedentary time were measured by accelerometry at ages two to five (preschool, wave 1) and ages five to seven (commenced full-time school, wave 2). Accelerometer data were processed using a validated machine-learning physical activity classification model. Daily time spent in sedentary behaviour, energetic play (moderate-to-vigorous physical activity (MVPA)), total physical activity, and meeting physical activity guidelines were analysed using linear and generalised linear mixed-effects models with age by sex interaction terms. RESULTS: All movement behaviours changed significantly with increasing age, and trends were similar in boys and girls. Total daily physical activity increased from age two to five then declined to age seven. Mean daily total physical activity exceeded 180 min/day from ages two to five. Daily energetic play increased significantly from age two to seven, however, was below 60 min/day at all ages except for seven-year-old boys. Daily sedentary time decreased to age five then increased to age seven but remained lower than at age two. All two-year-olds met their age-specific physical activity guideline, decreasing to 5% of girls and 6% of boys at age four. At age seven, 46% of boys and 35% of girls met their age-specific physical activity guideline. CONCLUSIONS: Young children's energetic play and total physical activity increased with age, but few children aged three to seven met the energetic play (MVPA) guideline. Interventions should focus on increasing children's energetic play in early childhood. Clearer guidance and strategies are needed to support young children as they change developmentally and as they transition from one age-specific movement guideline to the next.

Adaptations to scale-up an early childhood education and care physical activity intervention for real-world availability - Play Active.

BACKGROUND: Adaptations for scale-up are ubiquitous but are rarely described in detail. Adaptations may be a key reason for the "scale-up penalty" which is when there is a reduction in intervention effect size following scale-up. The Play Active intervention consists of a physical activity policy for early childhood education and care (ECEC) services, with accompanying implementation support strategies. It was first implemented with 81 ECEC services in Perth, Western Australia, in 2021 - with significant positive changes in physical activity practice uptake. The aim of this paper is to describe the extent, type, fidelity consistency, goals, size, scope, and proposed impact of proposed adaptations to the implementation support strategies for scaling-up Play Active. METHODS: Proposed adaptations were defined as planned changes, made prior to making the intervention available. The authors created a list of adaptations from a comparison of the Play Active implementation support strategies, before and after adaptation for proposed statewide availability across Western Australia, Queensland and South Australia, Australia. We used the Framework for Reporting Adaptations and Modifications-Enhanced Implementation Strategies (FRAME-IS) to code adaptations to implementation support strategies. Three authors coded each adaptation and rated their size, scope and proposed impact. RESULTS: Fifty-three adaptations to Play Active were identified. Most (68%) were proposed for the 'content' of implementation strategies, including aspects of their delivery. In practice, this involved changing the delivery mode of implementation support strategies from phone call and email support, to website-based delivery. More than half (56%) of adaptations involved 'adding elements' for scale-up. Most adaptations were 'fidelity consistent' (95%). The main goals for adaptations were related to 'increasing the acceptability, appropriateness, or feasibility' (45%), 'decreasing the costs' (19%) and 'increasing adoption of the evidence-based practice' (19%). Adaptations were small to medium in size, with most proposed to have a positive (87%) or neutral (8%) effect on the effectiveness of the intervention, rather than negative (4%). CONCLUSIONS: A large number of small, fidelity-consistent, adaptations were proposed for Play Active scale-up. Overall, the process of reporting adaptations was found to be feasible. To understand the impact of these adaptations, it will be important to re-evaluate implementation, effectiveness and process outcomes, at-scale.

Play Active physical activity policy intervention and implementation support in early childhood education and care: results from a pragmatic cluster randomised trial.

BACKGROUND: Policy interventions to increase physical activity in early childhood education and care (ECEC) services are effective in increasing physical activity among young children. However, a large proportion of ECEC services do not have nor implement a physical activity policy. Play Active is an evidence-informed physical activity policy intervention with implementation support strategies to enable ECEC services to successfully implement their policy. This study examined the effectiveness, implementation, and process outcomes of Play Active. METHODS: A pragmatic cluster randomised trial in 81 ECEC services in Perth, Western Australia was conducted in 2021. Services implemented their physical activity policy over a minimum of three months. The effectiveness outcomes were changes in educator practices related to daily time provided for total physical activity and energetic play. Implementation outcomes included changes in director- and educator-reported uptake of policy practices and director-reported uptake of high impact and low effort policy practices. Process evaluation outcomes included awareness, fidelity, reach, and acceptability of the intervention and implementation strategies. Analysis involved descriptive statistics and generalised linear mixed effects models. RESULTS: There was a significant increase in the uptake of director-reported policy practices (p = 0.034), but no change in the uptake of the subset of high impact and low effort policy practices. Intervention group educators reported high awareness of the Play Active policy recommendations (90%). Play Active acceptability was high among educators (83%) and directors (78%). Fidelity and reach were high for most implementation support strategies (> 75%). There were no significant changes in the amount of physical activity or energetic play educators provided to children or in the proportion of educators providing the policy recommended ≥ 180 min of physical activity/day or ≥ 30 min of energetic play/day for intervention compared to wait-listed comparison services. CONCLUSIONS: Play Active resulted in significantly higher uptake of physical activity practices. However, there was no change in the amount of physical activity provided to children, which may be explained by the relatively short policy implementation period. Importantly, Play Active had high awareness, fidelity, reach, and acceptability. Future research should investigate the effectiveness of Play Active over longer implementation periods and its scalability potential. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (reference number 12620001206910, registered 13/11/2020, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378304&isReview=true ).

Prevalence and Correlates of Observed Sun Protection Behaviors Across Different Public Outdoor Settings in Melbourne, Australia.

Skin cancer prevention efforts in Australia have increasingly incorporated a focus on protection during incidental sun exposure. This complements the long-present messages promoting protection in high-risk settings and avoidance of acute intense bouts of sun exposure. Data from two waves of a cross-sectional direct observational survey was used to assess the prevalence and correlates of N = 12,083 adolescents' and adults' sun protection behavior (arm and leg cover, hat, sunglasses, and shade cover). Individuals were observed in public outdoor settings in Melbourne, Australia during peak ultraviolet (UV) times (11 a.m.-3 p.m.) on summer weekends. Settings included pools and beaches, parks and gardens, and for the first time in 2018, outdoor streets and cafés which may capture more incidental forms of sun exposure and represent another public setting where Australians commonly spend time outdoors. Females and older adults were consistently better protected than males and adolescents. Physical activity was strongly associated with low shade cover across settings. Weather was more strongly associated with sun protection at outdoor streets/cafes and parks/gardens than at pools/beaches but use of observed sun protection (particularly arm cover and covering hat) was low across settings. Continued public education about UV risk and its relation to weather and the seasons is needed to promote the routine use of multiple forms of sun protection during outdoor activities in peak UV times, especially among males and adolescents. Findings also highlight the importance of considering activity demands of public spaces in shade planning to optimize sun protection during outdoor activities in public spaces.

Development of physical activity policy and implementation strategies for early childhood education and care settings using the Delphi process.

BACKGROUND: The aim of this study was to gain consensus on an evidence informed physical activity policy template for early childhood education and care (ECEC) and determine best-practice dissemination and implementation strategies using the Delphi process. METHODS: Three-round modified Delphi methodology. During round one an expert working group developed an evidence informed ECEC specific physical activity policy template. Rounds two and three involved national online surveys to seek insight from a group of experts on the draft physical activity policy template. RESULTS: Ninety per cent of experts reported ECEC services are fully responsible for having a physical activity policy. There was consensus on the components of the policy and key physical activity and sedentary behaviour statements and recommendations. The most effective methods for disseminating a physical activity policy to ECEC providers included online (websites, social and electronic media), ECEC targeted launch events, direct mail outs and via professional associations. Twenty five key strategies related to management, supervisors and educators; the ECEC physical environment; communicating with families; and accreditation, monitoring and review, were identified as necessary for the successful implementation of physical activity policy in ECEC. Experts reached consensus on nine of these strategies indicating they were both easy to implement and likely to have a high level of influence. Key barriers and enablers to implementing ECEC-specific physical activity were also identified. CONCLUSIONS: This evidence informed physical activity policy template for ECEC provides recommendations on the amount of physical activity and sedentary time (including screen time) children should have whilst attending ECEC and aligns with national/international guidelines. A number of effective physical activity policy implementation strategies for ECEC were identified. An important next step is advocating for the introduction of legislative requirements for services to have and implement a physical activity policy.

Sun-protective clothing and shade use in public outdoor leisure settings from 1992 to 2019: Results from cross-sectional observational surveys in Melbourne, Australia.

Skin cancer presents a significant public health burden in Australia. The present study aimed to supplement population-based estimates of sun protection behaviour by examining setting-specific trends in directly observed sun protection in public outdoor leisure settings. Repeated cross-sectional observational surveys of adolescents and adults were conducted on summer weekends between 11 am and 3 pm from 1992 to 2002, 2006 to 2012, and 2018 to 2019 (N = 44,979) at pools/beaches and parks/gardens within 25 km of the centre of Melbourne, Victoria. The primary outcome was a binary index representing individuals having above or below the median level of body surface covered by hat, shirt, and leg garments in each setting type. The prevalence of above-median body coverage increased between 1992 and 2002 in both settings. At pools/beaches, a slight decline in above-median body coverage between 2006 and 2019 in males and females (adjusted odds ratio, AOR = 0.96 [0.94, 0.97]; 0.94 [0.93, 0.95]) appeared to be driven by a decline in leg coverage, while arm coverage, hat, sunglasses, and shade use remained stable. At parks/gardens, a decline in above-median body coverage between 2006 and 2019 (AOR = 0.90 [0.89, 0.91]; 0.94 [0.93, 0.95]) was accompanied by small declines across other protective behaviours that varied between males and females. Patterns in protective behaviours observed in outdoor leisure settings may reflect the changing composition of individuals choosing to remain outdoors during peak UV times and highlight the importance of continued promotion and monitoring of the use of multiple measures to protect against UV damage in Australia.

Built and social environmental factors influencing healthy behaviours in older Chinese immigrants to Australia: a qualitative study.

BACKGROUND: Neighbourhood environments influence older adults' health and health-enhancing behaviours, such as physical activity, eating a healthy diet and socialising. However, little is known about the effects of the neighbourhood environment on the health of older immigrants, the number of which is rapidly increasing in developed countries. Using Nominal Group Technique (NGT) sessions, this study of older Chinese immigrants to urban Melbourne, Australia, examined built and social environmental facilitators of and barriers to regular engagement in physical activity, eating a healthy diet and regular contact with other people. METHODS: Participants were recruited from four types of neighbourhoods stratified by walkability and proportion of Chinese dwellers. Twelve NGTs, four specific to each of physical activity, healthy diet and social contacts were conducted in Mandarin or Cantonese (91 participants). NGT responses from groups addressing the same questions were aggregated, similar items were combined, and scores combined across groups. Inductive thematic analysis was used to categorise answers into higher-order themes of factors associated with each behaviour. RESULTS: For physical activity, 29 facilitators and 28 barriers were generated with the highest ranked facilitator and barrier being "proximity to destinations" and "poor/inadequate public transport", respectively. For healthy diet, 25 facilitators and 25 barriers were generated, the highest ranked facilitator and barrier were "high food safety standards/regulations" and "lack of family/household members' social support for a healthy diet". The social contacts NGTs generated 23 facilitators and 22 barriers, with the highest ranked facilitator and barrier being "proximity to destinations and activities" and "poor public transport", respectively. DISCUSSION: Independent living arrangements and the accessibility of destinations of daily living (e.g., bilingual health services, libraries, places of worship and grocery stores / supermarkets), recreational facilities, affordable public transport, and community centres and activities for Chinese people are key elements for promoting regular engagement in physical activity, healthy eating and socialising in older Chinese immigrants. Governments should plan for the provision of this basic infrastructure of community facilities for older immigrants.

Capturing Ultraviolet Radiation Exposure and Physical Activity: Feasibility Study and Comparison Between Self-Reports, Mobile Apps, Dosimeters, and Accelerometers.

BACKGROUND: Skin cancer is the most prevalent cancer in Australia. Skin cancer prevention programs aim to reduce sun exposure and increase sun protection behaviors. Effectiveness is usually assessed through self-report. OBJECTIVE: It was the aim of this study to test the acceptance and validity of a newly developed ultraviolet radiation (UVR) exposure app, designed to reduce the data collection burden to research participants. Physical activity data was collected because a strong focus on sun avoidance may result in unhealthy reductions in physical activity. This paper provides lessons learned from collecting data from participants using paper diaries, a mobile app, dosimeters, and accelerometers for measuring end-points of UVR exposure and physical activity. METHODS: Two participant groups were recruited through social and traditional media campaigns 1) Group A-UVR Diaries and 2) Group B-Physical Activity. In Group A, nineteen participants wore an UVR dosimeter wristwatch (University of Canterbury, New Zealand) when outside for 7 days. They also recorded their sun exposure and physical activity levels using both 1) the UVR diary app and 2) a paper UVR diary. In Group B, 55 participants wore an accelerometer (Actigraph, Pensacola, FL, USA) for 14 days and completed the UVR diary app. Data from the UVR diary app were compared with UVR dosimeter wristwatch, accelerometer, and paper UVR diary data. Cohen kappa coefficient score was used to determine if there was agreement between categorical variables for different UVR data collection methods and Spearman rank correlation coefficient was used to determine agreement between continuous accelerometer data and app-collected self-report physical activity. RESULTS: The mean age of participants in Groups A (n=19) and B (n=55) was 29.3 and 25.4 years, and 63% (12/19) and 75% (41/55) were females, respectively. Self-reported sun exposure data in the UVR app correlated highly with UVR dosimetry (κ=0.83, 95% CI 0.64-1.00, P<.001). Correlation between self-reported UVR app and accelerometer-collected moderate to vigorous physical activity data was low (ρ=0.23, P=.10), while agreement for low-intensity physical activity was significantly different (ρ=-0.49, P<.001). Seventy-nine percent of participants preferred the app over the paper diary for daily self-report of UVR exposure and physical activity. CONCLUSIONS: This feasibility study highlights self-report using an UVR app can reliably collect personal UVR exposure, but further improvements are required before the app can also be used to collect physical activity data.

Built environmental correlates of older adults' total physical activity and walking: a systematic review and meta-analysis.

BACKGROUND: Identifying attributes of the built environment associated with health-enhancing levels of physical activity (PA) in older adults (≥65 years old) has the potential to inform interventions supporting healthy and active ageing. The aim of this study was to first systematically review and quantify findings on built environmental correlates of older adults' PA, and second, investigate differences by type of PA and environmental attribute measurement. METHODS: One hundred articles from peer-reviewed and grey literature examining built environmental attributes related to total PA met inclusion criteria and relevant information was extracted. Findings were meta-analysed and weighted by article quality and sample size and then stratified by PA and environmental measurement method. Associations (p < .05) were found in relation to 26 individual built environmental attributes across six categories (walkability, residential density/urbanisation, street connectivity, access to/availability of destinations and services, infrastructure and streetscape, and safety) and total PA and walking specifically. Reported individual- and environmental-level moderators were also examined. RESULTS: Positive environmental correlates of PA, ranked by strength of evidence, were: walkability (p < .001), safety from crime (p < .001), overall access to destinations and services (p < .001), recreational facilities (p < .001), parks/public open space (p = .002) and shops/commercial destinations (p = .006), greenery and aesthetically pleasing scenery (p = .004), walk-friendly infrastructure (p = .009), and access to public transport (p = .016). There were 26 individual differences in the number of significant associations when the type of PA and environmental measurement method was considered. No consistent moderating effects on the association between built environmental attributes and PA were found. CONCLUSIONS: Safe, walkable, and aesthetically pleasing neighbourhoods, with access to overall and specific destinations and services positively influenced older adults' PA participation. However, when considering the environmental attributes that were sufficiently studied (i.e., in ≥5 separate findings), the strength of evidence of associations of specific categories of environment attributes with PA differed across PA and environmental measurement types. Future research should be mindful of these differences in findings and identify the underlying mechanisms. Higher quality research is also needed.

Neighbourhood disadvantage and smoking: Examining the role of neighbourhood-level psychosocial characteristics.

PURPOSE: This study aims to determine if neighbourhood psychosocial characteristics contribute to inequalities in smoking among residents from neighbourhoods of differing socioeconomic disadvantage. METHODS: This cross-sectional study includes 11,035 residents from 200 neighbourhoods in Brisbane, Australia in 2007. Self-reported measures were obtained for smoking and neighbourhood psychosocial characteristics (perceptions of incivilities, crime and safety, and social cohesion). Neighbourhood socioeconomic disadvantage was measured using a census-derived index. Data were analysed using multilevel logistic regression random intercept models. RESULTS: Smoking was associated with neighbourhood disadvantage; this relationship remained after adjustment for individual-level socioeconomic position. Area-level perceptions of crime and safety and social cohesion were not independently associated with smoking, and did not explain the higher prevalence of smoking in disadvantaged areas; however, perceptions of incivilities showed an independent effect. CONCLUSIONS: Some neighbourhood psychosocial characteristics seem to contribute to the higher rates of smoking in disadvantaged areas.