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.

Barriers and enablers to promoting grandchildren's physical activity and reducing screen time: a qualitative study with Australian grandparents.

BACKGROUND: With an increasing number of grandparents providing care to their grandchildren, calls have been made for these caregivers to be considered important stakeholders in encouraging children's engagement in health-promoting behaviors, such as physical activity. Understanding the perspectives of grandparents who provide care is crucial to informing efforts that aim to increase children's physical activity, yet little is understood about their perceptions of specific barriers and enablers to promoting children's physical activity and reducing screen time. The present study sought to explore these perceptions. METHODS: Semi-structured focus groups and individual interviews were conducted with grandparents who reported providing care to a grandchild aged 3 to 14 years. A total of 20 grandparents were sampled (mean age = 67.8 years). Data were subjected to reflexive thematic analysis. RESULTS: Key reported barriers to physical activity included (i) the effort (physical and logistical) and financial cost associated with organizing physical activities, (ii) grandparents' age and mobility issues (e.g., due to injury or illness), (iii) caring for children of different ages (e.g., older children having different physical activity interests than younger children), and (iv) a local environment that is not conducive to physical activity (e.g., lack of appropriate facilities). Barriers to reducing screen time included (i) parents sending children to care with electronic devices and (ii) children's fear of missing out on social connection that occurs electronically. Strategies and enablers of physical activity included (i) integrating activity into caregiving routines (e.g., walking the dog), (ii) involving grandchildren in decision making (e.g., asking them in which physical activities they wish to engage), (iii) encouraging grandchildren to engage in activity with other children, and (iv) creating a physical and social environment that supports activity (e.g., owning play equipment). A common strategy for reducing screen time was the creation of a home environment that is not conducive to this activity (e.g., removing electronic devices from view). CONCLUSIONS: Findings suggest that grandparents may benefit from resources that assist them to identify activities that are inexpensive and require minimal effort to organize. Activities that account for grandparents' age and health status, as well as any environmental barriers, are likely to be well-received.

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 ).

Evaluating the effectiveness of the Play Active policy intervention and implementation support in early childhood education and care: a pragmatic cluster randomised trial protocol.

BACKGROUND: Daily physical activity is critical during the early years of life for facilitating children's health and development. A large proportion of preschool children do not achieve the recommended 3 h of daily physical activity. Early childhood education and care (ECEC) services are a key setting to intervene to increase physical activity. There is a significant need for ECEC specific physical activity policy, including clearer guidelines on the amount of physical activity children should do during care, and strategies for implementation of these guidelines. METHODS: This study is a pragmatic cluster randomised trial to evaluate the effectiveness of the Play Active physical activity policy intervention to improve early childhood education and care educator's physical activity-related practices. The central component of Play Active is an evidence-informed physical activity policy template which includes 25 practices to support nine age-specific recommendations on the amount of physical activity and sedentary time, including screen time, young children should do while in care. There are six implementation support strategies to facilitate physical activity policy implementation: (i) personalise policy (services select at least five of the 25 practices to focus on initially); (ii) policy review and approval; (iii) a resource guide; (iv) a brief assessment tool for monitoring children's energetic play; (v) professional development; and (vi) Project Officer implementation support (phone calls). A total of 60 early childhood education and care services will be recruited from metropolitan Perth, Western Australia. After baseline assessment, services will be randomly allocated to either intervention or wait-listed comparison conditions. Primary (educator-reported frequency and amount of daily time provided for children's physical activity, sedentary and screen time) and secondary (educator physical activity-related practices, self-efficacy, motivation, attitudes and beliefs, social support, and supportive physical environment) outcomes will be assessed at baseline and post-intervention, after intervention services have had a minimum 3 months of policy implementation within their service. DISCUSSION: The Play Active trial will rigorously evaluate a novel physical activity policy intervention with implementation support that promotes positive physical activity behaviours in educators and children attending ECEC. If effective, the program could be adapted, scaled-up and delivered in ECEC services nationally. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12620001206910 (date of registration 13/11/2020).

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.

The neighbourhood physical environment and active travel in older adults: a systematic review and meta-analysis.

BACKGROUND: Perceived and objectively-assessed aspects of the neighbourhood physical environment have been postulated to be key contributors to regular engagement in active travel (AT) in older adults. We systematically reviewed the literature on neighbourhood physical environmental correlates of AT in older adults and applied a novel meta-analytic approach to statistically quantify the strength of evidence for environment-AT associations. METHODS: Forty two quantitative studies that estimated associations of aspects of the neighbourhood built environment with AT in older adults (aged ≥ 65 years) and met selection criteria were reviewed and meta-analysed. Findings were analysed according to five AT outcomes (total walking for transport, within-neighbourhood walking for transport, combined walking and cycling for transport, cycling for transport, and all AT outcomes combined) and seven categories of the neighbourhood physical environment (residential density/urbanisation, walkability, street connectivity, access to/availability of services/destinations, pedestrian and cycling infrastructure, aesthetics and cleanliness/order, and safety and traffic). RESULTS: Most studies examined correlates of total walking for transport. A sufficient amount of evidence of positive associations with total walking for transport was found for residential density/urbanisation, walkability, street connectivity, overall access to destinations/services, land use mix, pedestrian-friendly features and access to several types of destinations. Littering/vandalism/decay was negatively related to total walking for transport. Limited evidence was available on correlates of cycling and combined walking and cycling for transport, while sufficient evidence emerged for a positive association of within-neighbourhood walking with pedestrian-friendly features and availability of benches/sitting facilities. Correlates of all AT combined mirrored those of walking for transport. Positive associations were also observed with food outlets, business/institutional/industrial destinations, availability of street lights, easy access to building entrance and human and motorised traffic volume. Several but inconsistent individual- and environmental-level moderators of associations were identified. CONCLUSIONS: Results support strong links between the neighbourhood physical environment and older adults' AT. Future research should focus on the identification of types and mixes of destinations that support AT in older adults and how these interact with individual characteristics and other environmental factors. Future research should also aim to clarify dose-response relationships through multi-country investigations and data-pooling from diverse geographical regions.

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.

Ethnic differences in overweight and obesity and the influence of acculturation on immigrant bodyweight: evidence from a national sample of Australian adults.

BACKGROUND: Despite growing international migration and documented ethnic differences in overweight and obesity in developed countries, no research has described the epidemiology of immigrant overweight and obesity at a national level in Australia, a country where immigrants comprise 28.1 % of the population. The aim of this study was to examine ethnic differences in body mass index (BMI) and overweight/obesity in Australia and the influence of acculturation on bodyweight among Australian immigrants. METHODS: Data from the national Household Income and Labour Dynamics in Australia (HILDA) survey were used to examine mean BMI and odds of overweight/obesity comparing immigrants (n = 2 997) with Australian born (n = 13 047). Among immigrants, acculturation differences were examined by length of residence in Australia and age at migration. Data were modelled in a staged approach using multilevel linear and logistic regression, controlling for demographic and socioeconomic variables. RESULTS: Relative to Australian born, men from North Africa/Middle East and Oceania regions had significantly higher BMIs, and men from North West Europe, North East Asia and Southern and Central Asia had significantly lower BMIs. Among women, the majority of foreign born groups had significantly lower BMIs compared with Australian born. Male and female immigrants living in Australia for 15 years or more had significantly higher BMIs and increased odds of being overweight/obese respectively, compared with immigrants living in Australia for less than 5 years. Male immigrants arriving as adolescents were twice more likely to be overweight/obese and had significantly higher BMIs than immigrants who arrived as adults. Male and female immigrants who arrived as children (≤11 years) had significantly higher odds of adult overweight/obesity and BMIs. CONCLUSIONS: This study provides evidence of ethnic differences in overweight and obesity in Australia with male immigrants from North Africa/Middle East and Oceania regions being particularly vulnerable. In addition, this study suggests that greater acculturation may negatively impact immigrant bodyweight and recently arrived immigrants as well as those who arrive as children or adolescents may benefit from obesity prevention intervention. Public health policy targeted at and tailored to these immigrant cohorts will assist in the multi-pronged approach required to address the obesity epidemic.

The association between dog walking, physical activity and owner's perceptions of safety: cross-sectional evidence from the US and Australia.

BACKGROUND: We examined the relationship between dog walking and physical activity within and between four US cities and Australia and investigated if dog walking is associated with higher perceived safety in US and Australian cities. METHODS: Dog owners (n = 1113) in the Pet Connections Study completed a cross-sectional survey. Data were collected across four study sites; three in the US (San Diego, Nashville, Portland) and a fourth in Australia (Perth). Physical activity, local walking, dog walking, and individual and community perceptions of safety were analysed for dog walkers and non-dog walkers for each study site. Between-city comparisons were examined for dog walkers. RESULTS: Across all study sites, dog walkers walked with their dog 5-6 times/week for a total of 93-109 min/week and achieved ≥30mins of physical activity on more days/week and walked in their neighbourhood more often/week, compared with non-dog walkers (all p ≤ 0.01). Compared with Perth, significantly fewer dog walkers walked in their local park in the three US study sites. San Diego dog walkers walked more often in their neighborhood/week compared with Perth dog walkers (all p ≤ 0.05). In Portland, dog walkers perceived significantly more neighborhood problems and in Nashville dog walkers perceived a significantly higher level of neighborhood natural surveillance (i.e., 'eyes on the street'), compared with non-dog walkers (both p ≤ 0.05). Among dog walkers, females were more likely than males to feel safer walking with their dog in their neighborhood (OR = 2.49; 95 % CI = 1.76, 3.53). Compared with dog walkers in Perth, dog walkers from each of the US study sites felt safer in their neighborhood and perceived there was more neighborhood surveillance (all p ≤ 0.001). CONCLUSION: This multi-site international study provides further support for the potential for dog walking to increase levels of daily physical activity. Walking with a dog may be a mechanism for increasing perceptions of neighborhood safety and getting to know the neighborhood, however significant between-country differences exist. Further international research is required to understand the drivers for these between-country differences. Community based programs and policies aimed at improving safety and social connectedness should consider the wider community benefits of dog walking and include strategies for supporting more dog walking.

Change in walking for transport: a longitudinal study of the influence of neighbourhood disadvantage and individual-level socioeconomic position in mid-aged adults.

BACKGROUND: Unlike leisure time physical activity, knowledge of the socioeconomic determinants of active transport is limited, research on this topic has produced mixed and inconsistent findings, and it remains unknown if peoples' engagement in active transport declines as they age. This longitudinal study examined relationships between neighbourhood disadvantage, individual-level socioeconomic position and walking for transport (WfT) during mid- and early old-age (40 - 70 years). Three questions were addressed: (i) which socioeconomic groups walk for transport, (ii) does the amount of walking change over time as people age, and (iii) is the change socioeconomically patterned? METHODS: The data come from the HABITAT study of physical activity, a bi-annual multilevel longitudinal survey of 11,036 residents of 200 neighbourhoods in Brisbane, Australia. At each wave (2007, 2009 and 2011) respondents estimated the duration (minutes) of WfT in the previous 7 days. Neighbourhood disadvantage was measured using a census-derived index comprising 17 different socioeconomic components, and individual-level socioeconomic position was measured using education, occupation, and household income. The data were analysed using multilevel mixed-effects logistic and linear regression. RESULTS: The odds of being defined as a 'never walker' were significantly lower for residents of disadvantaged neighbourhoods, but significantly higher for the less educated, blue collar employees, and members of lower income households. WfT declined significantly over time as people aged and the declines were more precipitous for older persons. Average minutes of WfT declined for all neighbourhoods and most socioeconomic groups; however, the declines were steeper for the retired and members of low income households. CONCLUSIONS: Designing age-friendly neighbourhoods might slow or delay age-related declines in WfT and should be a priority. Steeper declines in WfT among residents of low income households may reflect their poorer health status and the impact of adverse socioeconomic exposures over the life course. Each of these declines represents a significant challenge to public health advocates, urban designers, and planners in their attempts to keep people active and healthy in their later years of life.

Exploring socioecological correlates of active living in retirement village residents.

This study explored individual, social, and built environmental attributes in and outside of the retirement village setting and associations with various active living outcomes including objectively measured physical activity, specific walking behaviors, and social participation. Residents in Perth, Australia (N = 323), were surveyed on environmental perceptions of the village and surrounding neighborhood, self-reported physical activity, and demographic characteristics and wore accelerometers. Managers (N = 32) were surveyed on village characteristics, and objective neighborhood measures were generated in a Geographic Information System (GIS). Results indicated that built- and social-environmental attributes within and outside of retirement villages were associated with active living among residents; however, salient attributes varied depending on the specific outcome considered. Findings suggest that locating villages close to destinations is important for walking and that locating them close to previous and familiar neighborhoods is important for social participation. Further understanding and consideration into retirement village designs that promote both walking and social participation are needed.

Australian children's physical activity and screen time while in grandparental care.

OBJECTIVE: The objective of this study was to explore Australian children's engagement in physical activity and screen time while being cared for by their grandparents. METHOD: Grandparents (N = 1,190) providing ≥3 hours of weekly care to a grandchild aged 3-14 years completed an online survey assessing their grandchildren's movement behaviours while in their care. Descriptive statistics were computed for frequency of engagement in unstructured and structured physical activities, minutes spent playing outdoors, and minutes spent engaged in screen time. Regression analyses were conducted to assess socio-demographic predictors of movement behaviours. RESULTS: Playing in the yard was the most common form of physical activity in which grandchildren reportedly participated (77% 'usually' or 'always'), followed by playing with toys/equipment (62%). Few (14-36%) frequently engaged in active transport. Children spent an average of 181 minutes per week engaged in screen-based activities. CONCLUSIONS: There is an opportunity to improve children's movement behaviours while in grandparental care. Communicating to grandparents their importance in supporting an active lifestyle is warranted. IMPLICATIONS FOR PUBLIC HEALTH: Findings highlight the importance of creating environments that facilitate play-based, outdoor activities. Ensuring children have access to play equipment while in the care of grandparents and improving access to and quality of neighbourhood parks may assist with activity promotion.

Population-referenced percentiles for total movement and energetic play at early childhood education and care.

OBJECTIVES: Childcare services such as preschools and long day care centres have been identified as a key setting to promote physical activity in early childhood as they provide access to large numbers of children for prolonged periods. Yet, specific standards for the type and amount of physical activity (PA) children accumulate whilst attending childcare are lacking. The purpose of this study was to derive population-referenced percentile values for children's total movement and energetic play whilst attending early childhood education and care services. DESIGN: We analysed accelerometer data collected in four Australian studies involving over 150 long day care services and 3893 accelerometer records from 1945 children to derive population-referenced percentile values for total movement and energetic play whilst attending formal early childhood education and care. METHODS: Accelerometer data were processed into time spent in total movement and energetic play using a random forest physical activity classification model. Total movement and energetic play estimates were transformed to a standard normal distribution and percentiles were calculated for a 4-, 6-, 8-, and 10-hour early childhood education and care day. RESULTS: On an average 8-hour early childhood education and care day (50th percentile), Australian pre-schoolers spend between 269 and 292 min, or 60 % of their day in movement. In contrast, Australian pre-schoolers only accumulate between 15 and 29 min of energetic play. CONCLUSIONS: The percentile reference values can be used to monitor young children's physical activity and energetic play levels whilst attending childcare. Educators can use the percentiles to assign norm-referenced ratings to identify children who could benefit from additional support for physical activity.

The Role of Grandparents in Facilitating Children's Physical Activity.

BACKGROUND: Research suggests there is considerable opportunity to improve children's movement behaviors while they are being cared for by their grandparents. An understanding of the extent to which grandparent practices facilitate children's engagement in physical activity is critical to the development of health interventions targeting grandparent caregivers. This study examined the activity-related beliefs and practices of grandparents and their association with grandchildren's engagement in various movement behaviors while in grandparental care. METHODS: Australian grandparents (N = 1190; 60% women) who provided regular care to a grandchild aged 3-14 years were recruited via a web panel provider to complete an online survey. The survey assessed grandparents' physical activity-related beliefs (eg, perceived importance) and practices (eg, support and social control) and their grandchildren's engagement in physical activity (unstructured, structured, and outdoor play) and screen-based activities while in grandparental care. RESULTS: The importance of grandchildren's physical activity was rated highly by grandparents. Grandparents' support for their grandchildren's physical activity was positively associated with their grandchildren's engagement in structured physical activity, unstructured physical activity, and outdoor play. Negative social control was associated with greater engagement in screen-based activities. Other correlates of grandchildren's physical activity and screen-based activities included grandparents' own engagement in these activities. CONCLUSIONS: Findings highlight the importance of reinforcing the beliefs and practices that positively influence children's movement behaviors and addressing those that have unintended consequences. Encouraging grandparents to support their grandchildren's physical activity and discouraging forms of negative social control are likely to be important in efforts to promote physical activity in children.

Physical Activity-Related Practices and Psychosocial Factors of Childcare Educators: A Latent Profile Analysis.

Limited research investigates early childhood education and care (ECEC) educators' involvement in promoting physical activity. The aim was to identify distinct profiles based on physical activity-related practices and psychosocial factors in ECEC educators and examine how they relate to the amount of time allocated to children's physical activity. A secondary analysis of educator-reported survey data from the Play Active study was undertaken. Educators (n = 532) reported on four practices and four psychosocial subscales adapted from the Environment and Policy Evaluation and Observation relating to the provision of physical activity in childcare. Latent profile analysis was used to identify distinct groups of educators based on their practices and psychosocial factors. Logistic regression analysed associations between latent profiles and educator-reported time provided for children's physical activity. Five profiles of educators' physical activity-related practices and psychosocial factors were identified. Profiles with higher practice scores also had higher psychosocial scores. Educators in profiles characterised by higher scores had greater odds of meeting the best practice guidelines for daily time allocated to children for total physical activity and energetic play. This study highlights interventions which address multiple educator behaviour change determinants to improve children's physical activity in childcare.

The built environment and child obesity: A review of Australian policies.

Child obesity is a serious public health challenge affected by both individual choice and societal and environmental factors. The main modifiable risk factors for child obesity are unhealthy eating and low levels of physical activity, both influenced by aspects of the built environment. Coordinated government policy across jurisdictions, developed using strong research evidence, can enable built environments that better support healthy lifestyles. This study reviewed current Australian and Western Australian government policies to understand if and how they address the impact of the built environment on child obesity, physical activity, sedentary behavior, and diet. Current government policy documents related to the built environment and child health were analyzed using the Comprehensive Analysis of Policy on Physical Activity framework. Ten Australian and 31 Western Australian government policy documents were identified. Most referred to the role of the built environment in supporting physical activity. Very few policies mentioned the built environment's role in reducing sedentary behaviors, supporting healthy eating, and addressing obesity. Few recognized the needs of children, and none mentioned children in policy development. Future government policy development should include the voices of children and child-specific built environment features. Inter-organizational policies with transparent implementation and evaluation plans are recommended.