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Active School Travel (AST) is an important domain for physical activity among adolescents, however, few studies in India have explored barriers or correlates of AST. This was a cross-sectional study of 324 adolescents aged 12&ndash, 17 years recruited via households and schools from diverse areas of Chennai, India. Adolescents reported their mode of travel to school, neighbourhood correlates, and the barriers for AST. Adolescents were considered to be using AST to/from school if they walked/cycled &ge, once/week during an average week. Half the adolescents usually performed AST (&ge, 1 trip/week). School being too far was associated with 75% lower odds and parents not allowing their child to walk or cycle was associated with 82% lower odds of the adolescent performing AST to or from school at least once/week. AST among adolescents should be encouraged and there is considerable scope for improvement. Parental restriction and distance to school were the two strongest barriers for AST.

The proportion of older adults in the population is increasing and ageing is associated with poorer physical, mental and social health. Hence, there is increasing need for community facilities that are appealing and suitable to older adults and promote good health and well-being. Visiting parks has been shown to facilitate a multitude of physical, psychological, and social health benefits; however, the frequency of park visitation by older adults is low. A better understanding of the needs and preferences of park features among older adults will help park designers to create parks that encourage their visitation. The aim of this qualitative walk-along study was to explore park features that influence park visitation, park-based physical activity and social interaction among older adults (65+ years). Participants (n = 30, mean age = 74.9 years [sd 5.4)], 50 % female) were interviewed by a researcher while walking in one of eight diverse parks located in varying socio-economic status areas of metropolitan Melbourne, Australia. All interviews were transcribed verbatim and analysed using NVivo 12 software. Participants primarily reported using parks for walking, sitting/relaxing, enjoying nature and socialising with others and walking was the preferred park-based activity. Park features highly valued for visitation included: a well-maintained, peaceful and attractive environment with established trees, gardens and birdlife; seating; pleasant paths; toilets; cafes; water features; shade/shelter; facilities for grandchildren; and the presence of other people. Features most valued for physical activity included walking paths, organised activities, and fitness equipment. Features most valued for social interaction included picnic/barbecue facilities, organised events, a cafe and aesthetics. This evidence is important for policy and decision makers, urban planning, landscape architects, and local, state and national government organisations to ensure our parks are designed to support older adults to lead healthy and active lives.

Trajectories of physical activity and sedentary time (SED) may differ between subgroups of youth. The aim of this study was to identify group-based dual trajectories of physical activity and SED and explore individual, social, and environmental correlates of these trajectories. Longitudinal data (three time points, baseline 2011-2012) of Spanish youth (n = 1597, mean age = 11.94 ± 2.52, 50.9% boys) were used. Moderate-to-vigorous physical activity (MVPA) and SED were assessed objectively at each time point, and 21 potential correlates were self-reported at baseline. Parallel process growth mixture models identified shared categorical latent groups, adjusting for school and age. Multinomial logistic regression models identified baseline correlates of a given trajectory. Four shared categorical latent groups were identified: (1) stable MVPA and decreasing SED (4%); (2) stable MVPA and increasing SED (3%); (3) consistently higher MVPA (18%); and (4) stable low MVPA and slight increase in SED (75%). Multinomial logistic regression models with group 3 as reference found: negative affect (RRR = 0.90, 95% CI 0.84-0.97), parental screen-time rules (RRR = 1.15, 95% CI 1.00-1.33), and household media equipment (RRR = 1.17, 95% CI 1.05-1.30) predicted likelihood of group 1 membership; cons of reducing SED (RRR = 2.70, 95% CI 1.77-4.10) predicted likelihood of group 2 membership; and co-participation in physical activity with friends (RRR = 0.80, 95% CI 0.69-0.94), fathers' modeling of TV viewing (RRR = 1.22, 95% CI 1.02-1.47), and household media equipment (RRR = 1.16, 95% CI 1.02-1.31) predicted likelihood of group 4 membership. Results suggest that strategies to improve MVPA and SED behaviors among youth may need to be multifaceted, targeting all levels of influence.

BACKGROUND 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. OBJECTIVE 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. METHODS 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). RESULTS 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. CONCLUSIONS 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 Wearable technology interventions combined with digital behavior change resources provide opportunities to increase physical activity in adolescents. The implementation of such interventions in real-world settings is unknown. The Raising Awareness of Physical Activity (RAW-PA) study was a 12-week cluster randomized controlled trial targeting inactive adolescents attending schools in socioeconomically disadvantaged areas of Melbourne, Australia. The aim was to increase moderate- to vigorous-intensity physical activity using (1) a wrist-worn Fitbit Flex and app, (2) weekly challenges, (3) digital behavior change resources, and (4) email or text message alerts. Objective This paper presents adolescents’ and teachers’ perceptions of RAW-PA in relation to program acceptability, feasibility and perceived impact, adolescent engagement and adherence, and the potential for future scale-up. Methods A mixed methods evaluation of the RAW-PA study assessed acceptability, engagement, feasibility, adherence, and perceived impact. A total of 9 intervention schools and 144 intervention adolescents were recruited. Only adolescents and teachers (n=17) in the intervention group were included in the analysis. Adolescents completed web-based surveys at baseline and surveys and focus groups postintervention. Teachers participated in interviews postintervention. Facebook data tracked engagement with web-based resources. Descriptive statistics were reported by sex. Qualitative data were analyzed thematically. Results Survey data were collected from 142 adolescents at baseline (mean age 13.7 years, SD 0.4 years; 51% males) and 132 adolescents postintervention. A total of 15 focus groups (n=124) and 9 interviews (n=17) were conducted. RAW-PA had good acceptability among adolescents and teachers. Adolescents perceived the intervention content as easy to understand (100/120, 83.3%) and the Fitbit easy to use (112/120; 93.3%). Half of the adolescents perceived the text messages to be useful (61/120; 50.8%), whereas 47.5% (57/120) liked the weekly challenges and 38.3% (46/120) liked the Facebook videos. Facebook engagement declined over time; only 18.6% (22/118) of adolescents self-reported wearing the Fitbit Flex daily postintervention. Adolescents perceived the Fitbit Flex to increase their physical activity motivation (85/120, 70.8%) and awareness (93/119, 78.2%). The web-based delivery facilitated implementation of the intervention, although school-level policies restricting phone use were perceived as potential inhibitors to program roll-out. Conclusions RAW-PA showed good acceptability among adolescents attending schools in socioeconomically disadvantaged areas and their teachers. Low levels of teacher burden enhanced their perceptions concerning the feasibility of intervention delivery. Although adolescents perceived that RAW-PA had short-term positive effects on their motivation to be physically active, adolescent adherence and engagement were low. Future research exploring the feasibility of different strategies to engage adolescents with wearable technology interventions and ways of maximizing system-level embeddedness of interventions in practice would greatly advance the field.

Sedentary and physical activity patterns (bouts/breaks) may be important for cardiometabolic health in early life. This study aimed to examine cross-sectional associations of total daily volume and patterns across the activity spectrum with cardiometabolic risk factors in youth aged 7&ndash, 13 years. Objectively measured accelerometer and cardiometabolic risk factor data were pooled from two studies (n = 1219, 69% valid accelerometry). Total daily volume of sedentary time and light-, moderate-, and vigorous-intensity physical activity was determined. Time in sustained bouts and median bout lengths of all intensities and breaks in sedentary time were also calculated. Outcomes included body mass index, waist circumference, blood pressure, blood lipids, and a cardiometabolic summary score. Regression models revealed beneficial associations between total daily volumes of moderate- and vigorous-intensity physical activity and cardiometabolic risk. Time spent in &ge, 1 min vigorous-intensity physical activity bouts was beneficially associated with cardiometabolic risk, yet this disappeared after adjusting for total vigorous-intensity physical activity and confounders. Time accumulated in light- (&ge, 1 min, &ge, 5 min) and moderate-intensity (&ge, 1 min) physical activity bouts was detrimentally associated with cardiometabolic risk. Total daily volume and activity patterns may have implications for cardiometabolic risk early in life. Sporadic physical activity may be more beneficial for health than sustained physical activity.

Parks are places where children can interact with others and engage in physical activity in a natural setting. Park visits can enhance children&rsquo, s social, mental, and physical health. It is therefore important to better understand how parks can be designed to ensure optimal use by children. This qualitative study explored children&rsquo, s perceptions of park features that may influence their park visits, park-based physical activity, and social interaction. Qualitative walk-along interviews were completed with 30 children (mean age 9.7 years (SD 1.3), female n = 16) in nine parks located in varying socioeconomic areas of Melbourne, Australia. As they walked through the park, children shared thoughts regarding characteristics that may influence their visitation, park-based physical activity, and social interactions. Features that would encourage visitation included: challenging and interesting play equipment, a pond and water play area, trees/greenery and shade, and full-sized basketball courts. Features most valued for physical activity included: sports courts, ovals, and equipment, open space, trees to climb, and nature/rocks. Features most valued for social interaction included: a large size, playgrounds, and picnic areas. Children offer unique and important views. Park designers should consider inclusion of these features, when (re)developing parks to support children to lead healthy and active lives.

Background The consequences for youth cardiometabolic risk might depend on whether sedentary time and physical activity are accumulated sporadically (in shorter bouts) or in a sustained pattern (in longer bouts). This study aimed to: 1) describe daily time-use compositions of youth, including time spent in shorter and longer bouts of sedentary behaviour and physical activity; and 2) examine associations between time-use compositions with cardiometabolic biomarkers.Methods Accelerometer and cardiometabolic biomarker data (adiposity, blood pressure, lipids) from 7–13 year olds (mean ± SD: 10.4 ± 1.7) from two Australian studies were pooled (complete cases adiposity n = 772). A time-use composition of nine components was formed using compositional data analysis: time in shorter and longer bouts of sedentary behaviour, light-, moderate- and vigorous-intensity physical activity, and “other time” (i.e., non-wear/sleep). Shorter and longer bouts of sedentary time were defined as Results Confounder-adjusted models showed that the overall time-use composition was associated with zBMI, waist circumference, systolic blood pressure, high-density lipoprotein cholesterol, triglycerides, and a combined cardiometabolic risk score. Specifically, more time in longer relative to shorter bouts of light-intensity physical activity was associated with greater zBMI (β = 1.79, SE = 0.70, p = 0.010) and waist circumference (β = 17.28, SE = 4.87, p Conclusions Accumulating physical activity in frequent short bursts may be beneficial for adiposity compared to engaging in the same amount of these intensities in longer bouts.Trial registration: 'Lifestyle Of Our Kids’ (ACTRN12615000066583 [23/01/2015]) and ‘Transform-Us!’ (ACTRN12609000715279 [19/08/2009], ISRCTN83725066 [30/06/2010]).

Background The design of parks is critical to ensure they are appealing, meet the needs of the community and optimise opportunities for physical activity, relaxation, exposure to nature and social interaction. There is currently a lack of understanding on how research evidence is informing park design and how to reduce the many challenges associated with research-practice-policy translation. Understanding how organisations use evidence for decision-making regarding park design is critical for reducing the research-practice-policy gap and ensuring evidence based strategies inform park design to support healthy active living. This study explored stakeholder perceptions regarding factors that influence the use of research evidence to inform park planning and design, and potential strategies to enhance effective translation of research evidence for optimal park design into policy and practice. Methods One-on-one in-depth interviews were conducted with 23 stakeholders within the park design, planning and management sector. Participants shared experiences regarding: influences on park development and design; current park development policies; ways to facilitate use of evidence; and priorities for future research. Interviews were recorded and transcribed verbatim and content analysis performed using NVivo 12. Results Research evidence is used and considered important for park planning; however, several barriers were highlighted: time and cost constraints; difficulties accessing research; and limited research relevant to specific needs. Developing partnerships between researchers and park developers and providing evidence in a more accessible format such as short summaries/reports, infographics, presentations, research updates and dedicated research databases emerged as key enablers. The main research gaps identified included research into park features to encourage visitation and cost-benefit analyses studies. Conclusions This research is a first step to better understand strategies to promote more effective uptake and use of evidence to inform park planning. Researchers must develop multi-sectoral collaborations and generate policy-relevant research in a readily accessible, timely and user-friendly format to ensure evidence is used to enhance park design and ultimately public health.

The physical environment encompasses natural and built environments. The natural environment refers to the geography and climate of a particular area, such as bodies of water, weather, natural landscapes and topography. This chapter focuses on the links between physical activity and the built environment around the home, commonly known as the neighborhood built environment. The physical environment is an important part of socio-ecological perspectives often used as a theoretical basis to understand and encourage the adoption of a physically active lifestyle. Research on the neighborhood physical environment and physical activity among children and youth has evolved rapidly over the past few decades. A seminal study published in 1990 on children’s independent mobility on school journeys was among the earliest work to explore the role of the environment in shaping children’s physical activity. Audit techniques are typically used to objectively and systematically measure or record features of the physical environment, including features related to community design, streetscapes or routes.

This work was supported by the National Plan for Research, Development and Innovation (RDi) Ministry of Science and Innovation (DEP 2010-21662-C04-00). DSO was awarded a "Juan de la Cierva" postdoctoral fellowship (FJCI-2015-25867) from the Spanish Ministry of Economy, Industry, and Competitiveness. IEC is supported by the Spanish Ministry of Economy and Competitiveness (RTI2018-095284-J-100) and the Spanish Ministry of Science and Innovation (RYC2019-027287-I)., Background: Children and adolescents can be distinguished by different typologies (clusters) of physical activity and sedentary behavior. How physical activity and sedentary behaviors change over time within different typologies is not known. This study examined longitudinal changes in physical activity and sedentary time among children and adolescents with different baseline typologies of activity-related behavior. Methods: In this longitudinal study (3 annual time points) of children (n = 600, age = 9.2 § 0.4 years (mean § SD), 50.3% girls) and adolescents (n = 1037, age = 13.6 § 1.7 years, 48.4% girls), participants were recruited in Spain in 2011 2012. Latent class analyses identified typologies based on self-reported screen, educational, social and relaxing sedentary behaviors, active travel, muscle strengthening activity, and sport at baseline. Within each typology, linear mixed growth models explored longitudinal changes in accelerometer-derived moderate-to-vigorous physical activity and sedentary time, as well as time by class interactions. Results: Three typologies were identified among children (“social screenies”, 12.8%; “exercisers”, 61.5%; and “non-sporty active commuters”, 25.7%) and among adolescents (“active screenies”, 43.5%; “active academics”, 35.0%; and “non-sporty active commuters”, 21.5%) at baseline. Sedentary time increased within each typology among children and adolescents, with no significant differences between typologies. No changes in physical activity were found in any typology among children. In adolescents, physical activity declined within all typologies, with “non-sporty active commuters” declining significantly more than “active screenies” over 3 years. Conclusion: These results support the need for intervention to promote physical activity and prevent increases in sedentary time during childhood and adolescence. Adolescents characterized as “non-sporty active commuters” may require specific interventions to maintain their physical activity over time., National Plan for Research, Development and Innovation (RDi) Ministry of Science and Innovation DEP 2010-21662-C04-00, "Juan de la Cierva" postdoctoral fellowship from the Spanish Ministry of Economy, Industry, and Competitiveness FJCI-2015-25867, Spanish Ministry of Economy and Competitiveness RTI2018-095284-J-100, Spanish Government RYC2019-027287-I

Adolescents have the potential to be active in multiple places across weekdays and weekends. While the built environment features around home are known to be important for adolescents' physical activity, specific built environment features that facilitate physical activity outside the home neighbourhood are not well explored. Given that adolescents spend most days of the week at school, the built environment surrounding school may be particularly important for supporting their physical activity. This study examined cross-sectional associations of objective built environments around home and school at multiple spatial scales with accelerometer assessed moderate-to-vigorous physical activity (MVPA) across the week. Moderating effects of adolescents' age were further explored. Data from up to 417 adolescents aged 12-20 years from 18 schools in Melbourne, Australia were used. Features of the built environment around school were positively associated with MVPA on weekdays; and a wide range of built environment features around home were found to be important for MVPA during weekends. Age was found to moderate the relationship between some built environment features around both home and school and MVPA across the week. Understanding the contribution of the built environment features around both home and school with MVPA could inform policy recommendations and public health interventions for each setting.

Introduction: This cross-sectional study aimed to i) identify and characterize youth according to distinct physical activity (PA) and sedentary (SED) accumulation patterns, and ii) investigate associations of these derived patterns with cardiometabolic risk factors. Methods: ActiGraph accelerometer data from 7- to 13-yr-olds from two studies were pooled (n = 1219; 843 (69%) with valid accelerometry included in analysis). Time accumulated in >=5- and >=10-min SED bouts, >=1- and >=5-min bouts of light, and >=1-min bouts of moderate and vigorous PA was calculated. Frequency of breaks in SED was also obtained. Latent profile analysis was used to identify groups of participants based on their distinct accumulation patterns. Linear and logistic regression models were used to test associations of group accumulation patterns with cardiometabolic risk factors, including adiposity indicators, blood pressure, and lipids. Total PA and SED time were also compared between groups. Results: Three distinct groups were identified: "prolonged sitters" had the most time in sustained SED bouts and the least time in vigorous PA bouts; "breakers" had the highest frequency of SED breaks and lowest engagement in sustained bouts across most PA intensities; and "prolonged movers" had the least time accumulated in SED bouts and the most in PA bouts across most intensities. Although breakers engaged in less time in PA bouts compared with other groups, they had the healthiest adiposity indicators. No associations with the remaining cardiometabolic risk factors were found. Conclusion: Youth accumulate their daily activity in three distinct patterns (prolonged sitters, breakers, and prolonger movers), with those breaking up sitting and least time in prolonged PA bouts across the day having a lower adiposity risk. No relationships with other cardiometabolic risk factors were identified. Refereed/Peer-reviewed

This chapter describes school recess which is considered to be the non-curriculum time regularly allocated by schools between lessons for children and adolescents to engage in discretionary leisure activities. It is acknowledged that in recent years, schools have begun to offer structured recess periods where games and activities are organized and led by facilitators. The chapter includes debates currently exist as to whether such approaches can be truly considered recess given the general lack of truly discretionary activities, but literature concerning structured recess for information. Arguably the main intervention approach implemented within recess settings to date is physical changes to the playground environment, which typically involve the introduction of multicolor playground markings. When evaluating the effects of an intervention, it is useful to know how, why, and for which population group the intervention worked. Such information is critical for identifying who and what to target in future physical activity interventions.

Background: Longitudinal changes in child and adolescent active school transport (AST), and the mediating role of different intensities of daily physical activity (PA) levels in relation to AST and physical fitness and adiposity indicators is unclear. This study aimed to: 1) describe longitudinal changes in AST, light PA (LPA), moderate- to vigorous-intensity PA (MVPA), physical fitness and adiposity indicators over three time-points; and 2) investigate the mediating role of LPA and MVPA levels on associations between AST and physical fitness and adiposity indicators over three time-points among children and adolescents. Methods: This longitudinal study comprised 1646 Spanish children and adolescents (48.8% girls, mean age 12.5 years ±2.5) at baseline, recruited from schools in Cádiz and Madrid. Mode of commuting to school was self-reported at baseline (T0, 2011-12), 1-year (T1) and 2-year follow-up (T2). PA was assessed using accelerometers. Handgrip strength, standing long jump and cardiorespiratory fitness (CRF) assessed physical fitness. Height, weight, body mass index, waist circumference, and triceps and subscapular skinfold thickness were measured. Multilevel linear regression analyses assessed changes in AST, PA levels, physical fitness and adiposity indicators over three time-points (T0-T1-T2). Additionally, longitudinal path analysis (n = 453; mean age [years] 12.6 ± 2.4) was used to test the mediating effects of LPA and MVPA levels on the association between AST and physical fitness and adiposity indicators. Results: Multilevel analyses observed decreases in LPA between T0-T1 (β = - 11.27; p < 0.001) and T0-T2 (β = - 16.27; p < 0.001) and decreases in MVPA between T0-T2 (β = - 4.51; p = 0.011). Moreover, changes over time showed increases in handgrip between T0-T1 (β = 0.78; p = 0.028) and T0-T2 (β = 0.81; p = 0.046). Path analyses showed that AST was directly positively associated with MVPA at T1 (all, β ≈ 0.33; p < 0.001). MVPA at T1 mediated associations between AST and CRF at T2 (β = 0.20; p = 0.040), but not the other outcomes. LPA did not mediate any associations. Conclusions: Results from longitudinal path analysis suggest that participation in more AST may help attenuate declines in MVPA that typically occur with age and improve CRF. Therefore, we encourage health authorities to promote AST, as a way to increase MVPA levels and CRF among youth., This study was supported by the DEP 2010–21662-C04–00 (DEP 2010–21662- C04–01: DEP 2010–21662-C04–02: DEP 2010–21662-C04–03: DEP 2010– 21662-C04–04) grant from the National Plan for Research, Development and Innovation (R + D + i) MICINN. DCM received a scholarship Jose Castillejo scholarship (CAS18/00262) for a brief stay in the Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Australia. JV is supported by an Australian National Heart Foundation Future Leader Fellowship (ID 101928).

Background: Increased physical inactivity and sedentary behavior among children are a global health concern. Purpose: Examine associations between parents’ perceived neighborhood environment and children’s physical activity, outside time, and screen time, and whether these associations were moderated by age and socioeconomic position (SEP). Methods: Parents (N = 1212) completed a survey during the Recording and EValuating Activity in a Modified Park study. The neighborhood perceptions (social and physical environment), children’s age, physical activity, outside time, and screen time were parent-reported. The SEP was derived from the Index of Relative Socio-economic Advantage and Disadvantage. Multiple linear and logistic regressions were performed with age and SEP interactions. Results: Favorable perceptions of opportunities to be active and exercise were associated with a higher likelihood of meeting physical activity guidelines. Favorable perceptions of neighborhood ease for walking and a larger social network were also associated with more outdoor time. Moderation analyses revealed that favorable perceptions of several physical and social neighborhood environment features were associated with a higher likelihood of meeting physical activity guidelines in the high-SEP group and were negatively associated with preschoolers’ weekday screen time. Conclusion: Future neighborhood environment initiatives and interventions aiming to promote active living communities should consider differences in age and SEP.

In developed and developing countries, social, economic, and environmental transitions have led to physical inactivity and large amounts of time spent sitting. Research is now unraveling the adverse public health consequences of too much sitting. We describe improvements in device-based measurement that are providing new insights into sedentary behavior and health. We consider the implications of research linking evidence from epidemiology and behavioral science with mechanistic insights into the underlying biology of sitting time. Such evidence has led to new sedentary behavior guidelines and initiatives. We highlight ways that this emerging knowledge base can inform public health strategy: First, we consider epidemiologic and experimental evidence on the health consequences of sedentary behavior; second, we describe solutions-focused research from initiatives in workplaces and schools. To inform a broad public health strategy, researchers need to pursue evidence-informed collaborations with occupational health, education, and other sectors. Refereed/Peer-reviewed

Parks are a key setting that can support the health and well-being of older adults through facilitating physical activity and social interaction. However, park use among older adults is low, therefore it is important to better understand which park features are most likely to encourage them to visit and be active and social in parks. This two-phased study examined the relative importance of park features for encouraging park visitation, park-based physical activity, and social interaction among older adults (65+ years). In Phase 1, participants (n = 258; 71.9 + 5.42 years, 52% male) completed an online survey where they rated a selection of images of 42 park features according to the importance of these features for encouraging their park visitation, physical activity and social interaction. The most highly-rated features were included in a new survey for Phase 2, where a new sample (n = 243; 71.5 + 4.91 years, 51% male) completed Adaptive Choice-Based Conjoint analyses tasks to identify relative importance scores of each park feature for all three outcomes. Overall, the two most important features for park visitation were shady trees (conjoint analysis relative importance score 19.6%; 95%CI = 18.3, 20.9) and a peaceful and relaxed setting (19.6%, 95%CI = 18.1, 21.1). The most important feature for physical activity was walking paths (19.6%; 95%CI = 17.1, 22.1) and for social interaction was a peaceful and relaxed setting (14.7%; 95%CI = 12.6, 16.9). Park designers should prioritise shady trees, a peaceful and relaxed setting, and walking paths to ensure that parks meet older adults’ needs and encourage physical activity and social interaction during their park visits.

This study examined cross-sectional and prospective associations between typologies of neighbourhood food environment and dietary patterns among 10-12 year-old children. Baseline data were collected in 2003 and follow-up data in 2006 from children in Melbourne or Geelong. Parents completed a food frequency questionnaire at both time points. 'Healthful' and 'energy-dense' dietary pattern scores were computed. A Geographic Information System was used to determine the presence or absence of food outlets (cafés/restaurant; fast food; supermarkets/grocery stores; convenience store; greengrocer; and butcher, seafood or poultry retailer) within an 800 m road network buffer of home. Three typologies were identified: 1-variety of food outlets, including those selling core/fresh foods (n = 96); 2-café/restaurant and convenience (n = 160); 3-few types of outlets (n = 208). Latent class analysis was used to identify underlying unobservable typologies of neighbourhood food outlet availability. Linear mixed models were fitted to determine cross-sectional (n = 439) and longitudinal (n = 173) associations between the three identified neighbourhood typologies and each (log-transformed) dietary pattern, accounting for clustering within families and schools. There was little evidence of cross-sectional associations. The longitudinal analyses showed that compared to those with a variety of food outlets, those with few types had 25% lower scores for the healthful dietary pattern (p 0.05) three years later. For optimal dietary patterns, availability of a variety of food outlets close to home, particularly those where core/fresh foods are available, may be important.

Background: Relationships between several built environment factors and physical activity and walking behavior are well established, but internationally-comparable built environment measures are lacking. The Microscale Audit of Pedestrian Streetscapes (MAPS)-Global is an observational measure of detailed streetscape features relevant to physical activity that was developed for international use. This study examined the inter-observer reliability of the instrument in five countries. Methods: MAPS-Global was developed by compiling concepts and items from eight environmental measures relevant to walking and bicycling. Inter-rater reliability data were collected in neighborhoods selected to vary on geographic information system (GIS)-derived macro-level walkability in five countries (Australia, Belgium, Brazil, Hong Kong-China, and Spain). MAPS-Global assessments (n = 325) were completed in person along a = 0.25 mile route from a residence toward a non-residential destination, and a commercial block was also rated for each residence (n = 82). Two raters in each country rated each route independently. A tiered scoring system was created that summarized items at multiple levels of aggregation, and positive and negative valence scores were created based on the expected effect on physical activity. The intraclass correlation coefficient (ICC) was computed for scales and selected items using one-way random models. Results: Overall, 86.6% of individual items and single item indicators showed excellent agreement (ICC >= 0.75), and 13.4% showed good agreement (ICC = 0.60-0.74). All subscales and overall summary scores showed excellent agreement. Six of 123 items were too rare to compute the ICC. The median ICC for items and scales was 0.92 with a range of 0.50-1.0. Aesthetics and social characteristics showed lower ICCs than other sub-scales, but reliabilities were still in the excellent range (ICC >= 0.75). Conclusion: Evaluation of inter-observer reliability of MAPS-Global across five countries indicated all items and scales had "good" or "excellent" reliability. The results demonstrate that trained observers from multiple countries were able to reliably conduct observations of both residential and commercial areas with the new MAPS-Global instrument. Next steps are to evaluate construct validity in relation to physical activity in multiple countries and gain experience with using MAPS-Global for research and practice applications.

ObjectiveThe purpose of the current study was to examine associations of individual and aggregated screen-based behaviours, and total sitting time, with healthy and unhealthy dietary intakes among adolescents.DesignCross-sectional study of adolescents. Participants self-reported durations of television viewing, computer use, playing electronic games (e-games), total sitting time, daily servings of fruits and vegetables, and frequency of consumption of sugar-sweetened beverages (SSB), diet beverages, fast foods and discretionary snacks. Logistic regression models were conducted to identify associations of screen-based behaviours, total screen time and total sitting time with dietary intakes.SettingVictoria, Australia.SubjectsAdolescents (n 939) in School Year 11 (mean age 16·8 years).ResultsThe results showed that watching television (≥2 h/d) was positively associated with consuming SSB and diet beverages each week and consuming discretionary snacks at least once daily, whereas computer use (≥2 h/d) was inversely associated with daily fruit and vegetable intake and positively associated with weekly fast-food consumption. Playing e-games (any) was inversely associated with daily vegetable intake and positively associated with weekly SSB consumption. Total screen (≥2 h/d) and sitting (h/d) times were inversely associated with daily fruit and vegetable consumption, with total screen time also positively associated with daily discretionary snack consumption and weekly consumption of SSB and fast foods.ConclusionsIndividual and aggregated screen-based behaviours, as well as total sitting time, are associated with a number of indicators of healthy and unhealthy dietary intake. Future research should explore whether reducing recreational screen time improves adolescents’ diets.

This study aimed to understand differences in leisure, educational/work and social screen time behaviours experienced by parents and children due to COVID-19 lockdown restrictions, which may inform behaviour change strategies and policy in the transition to a COVID-normal life. Participants in the “Our Life at Home” study (n = 218 parents from Australia, 43.4 ± 6.8 years, 88% female) completed a cross-sectional online survey in April/May 2020. Parents recalled their own and their child (8.7 ± 2.0 years, 42% female) or adolescents (15.0 ± 1.5 years, 50% female) participation in nine screen time behaviours in the past month (during lockdown) and retrospectively for February 2020 (pre-lockdown), providing data on 436 individuals. Screen time behaviours included leisure (computer/laptop and tablet/smartphone for leisure, TV/videos/DVDs and game consoles), education/work (computer/laptop and tablet/smartphone for work/education), and social screen time (computer/tablet/smartphone for social communication with friends, family and work (parents only)). Wilcoxon signed-rank tests and effect sizes (r) compared the time spent in each behaviour pre-lockdown and during lockdown. Large differences were observed in social (parents: r = 0.41–0.57, children: r = 0.55–0.65, adolescents: r = 0.28–0.43) and education (children: r = 0.50–0.65 and adolescents: r = 0.25–0.37) behaviours. There were small or no differences in leisure time screen use. COVID-19 lockdown restrictions have impacted parent’s and children’s screen time, and future research and policy should consider strategies to support families to manage screen time.

Background Recommendations to define eating occasions (EO) currently exist for research in adults, but not for children or adolescents. We examined how varying EO definitions affect the characterization of eating patterns in children and adolescents. Methods Cross-sectional dietary data collected using a 24-h recall data during the 2011–12 Australian National Nutrition and Physical Activity Survey (1364 boys and 1337 girls aged 2–18 years) were analyzed. Eight definitions were applied: participant-identified, time-of-day, and 6 neutral definitions (EO separated by 15- or 60-min and/or an additional energy criterion of 21 or 210 kJ). Frequency of and total energy intake from meals, snacks, and all EO were estimated. F tests stratified by gender and age-group, were used to assess differences between definitions. Agreement between definitions of meal and snack frequencies was assessed using intraclass correlation coefficients (ICC). Linear regression was used to estimate the proportion of variance in total energy intake (kJ) and BMI z-score predicted by each definition. Results Mean frequencies of meals and snacks differed between the participant-identified and time-of-day definitions, in boys and girls and for all age groups (P P 2 range = 8.1–34.8). Definitions that delineated meals and snacks better predicted variance in BMI z-score, when compared to the neutral definitions. Conclusions How eating patterns are characterized vary depending on the EO definitions employed, particularly in young children. Variance in total energy intake was best predicted by a variation of the neutral definition whereas definitions that delineated meals and snacks performed better in relation to predicting BMI variance. Further international research that compares EO definitions in children will help inform a standard approach.

This study examined how children's physical activity levels during recess and lunchtime and the contribution of recess and lunchtime to daily physical activity differed across seasons. Three hundred and twenty-six children aged 8-11years from Australia participated. Physical activity was measured every 15-seconds using hip-mounted ActiGraph accelerometers for 7 consecutive days during the winter (n=246), spring (n=211), summer (n=161) and autumn terms (n=139). Data were collected 2012-2013. Time spent in light- (LPA) moderate- (MPA), vigorous- (VPA), and moderate- to vigorous-intensity physical activity (MVPA) during recess and lunchtime were calculated. Longitudinal data were analysed using multilevel analyses and adjusted for potential confounders. The results showed that compared to winter, children engaged in significantly less MVPA and VPA in spring and summer during lunchtime (p

Refereed/Peer-reviewed Little is known about whether physical activity compensation occurs and, if so, what are potential moderators of such responses. This study examined whether children's physical activity, sedentary time and energy expenditure on one day was associated with these behaviours the following day, and what factors may moderate observed associations. One hundred and twenty-seven children (8-11 years) wore an ActiGraph accelerometer for eight days. Time spent in sedentary time and physical activity was obtained. Daily energy expenditure was also assessed using a SenseWear Armband (n=98). Moderators examined were sex, age, BMI, fitness, and fundamental movement skills (FMS). Multilevel analyses were conducted using generalized mixed models. On any given day, every additional 10 minutes spent in moderate-to-vigorous physical activity (MVPA) was associated with 9.3 minutes less MVPA the following day. Every additional 10kcal expended on one day was associated with 2.9 fewer kcal expended the following day. Additional time spent sedentary on any given day was associated with less light physical activity the following day in children with lower FMS. The results are largely consistent with the compensation hypothesis, with children appearing to compensate their activity between days. Strategies to minimise potential compensatory changes may be needed for children overall rather than for specific population sub-groups. usc

Parks provide opportunities for people of all ages to engage in physical activity, connect socially with family and friends, and have contact with nature. Despite these benefits, park visitation among adolescents is particularly low; however, little is known about what attributes would attract adolescents to visit parks. This study examined the relative importance of park features that might influence their decision to visit a park. Adolescents were recruited in 2014–5 from four secondary schools located in Melbourne, Australia. Participants completed an adaptive choice based conjoint (ACBC) task during one school class-lesson. This methodology makes it possible to identify the relative importance of individual park features. Ten park attributes were included in the survey and part-worth utility and importance scores were estimated for each attribute with Hierarchical Bayes analyses using Sawtooth Software. Participants (n = 92) had a mean age of 14.7 years (SD = 1.0) and 57% were female. Importance scores showed that playground slides (particularly long steep slides) were the most important attribute for park visitation (16.1%; 95% CI = 15.0, 17.2), followed by an absence of rubbish/graffiti (13.0%; 95% CI = 11.2, 14.8), and the presence of swings (12.4%; 95% CI = 11.4, 13.3), walking/cycling paths (12.1%; 95% CI = 11.0, 13.2) and BMX tracks/skate bowls (10.6%; 95% CI = 9.3, 11.9). These findings can assist those involved in designing parks to identify attributes that should be prioritised to ensure visitation by adolescents is maximised. The novel methodology utilised may be transferable to other studies of the built environment among other population groups.

Physical inactivity and overweight and obesity are more prevalent among rural than urban populations. This study aimed to review published evidence of the effectiveness of interventions to increase physical activity (PA) and/or decrease sedentary behaviour (SB) among rural adults and to identify factors associated with effectiveness. Seven electronic databases were searched for controlled trials of a PA or SB intervention. Meta-analysis was conducted using random effects models and meta-regression. Thirteen studies were included in the qualitative synthesis (n = 4,848 participants) and 12 in the meta-analysis (n = 4,820). All studies were interventions to increase PA. Overall, there was no effect on PA (standardized mean difference [SMD] 0.11; 95% confidence interval [CI] −0.04, 0.25) or SB (SMD 0.07; 95% CI −0.33, 0.20). In PA subgroup analyses, studies employing objective outcome measures demonstrated effects in favour of the intervention (SMD 0.65, 95% CI 0.30, 1.00), while those using self-reported measures did not (SMD 0.00; 95% CI −0.11, 0.10). This review highlights significant gaps in our understanding of how best to promote PA and reduce SB among rural adults. Future studies should use objective measures of PA as study outcomes. The absence of interventions to decrease SB is of concern, with immediate action required to address this large knowledge gap.

Background:Little is known about the associations of preschoolers’ health behaviors with their later psychosocial wellbeing. This study investigates the association of 3- to 5-year-old children’s physical activity and electronic media use with their later social-emotional skills (6-8 years).Methods:Data were collected in 2008–2009 and 2011–2012 for the Healthy Active Preschool and Primary Years (HAPPY) Study in metropolitan Melbourne. Participants were a random subsample (n = 108) of the 567 children at follow-up. Physical activity was objectively measured using ActiGraph GT1M accelerometers; electronic media use (television viewing, sedentary electronic games and active electronic games) was parent proxy-reported. Social and emotional skills were child-reported using the Bar-On Emotional Quotient Inventory—Youth Version. Regression analyses controlled for sex, clustering by center of recruitment, and accelerometer wear time (for physical activity analyses).Results:Sedentary electronic games were positively associated with intrapersonal and stress management skills and total emotional quotient. Computer/internet use was inversely associated with interpersonal, and positively associated with stress management, skills.Conclusions:Findings suggest that physical activity is not associated with children’s psychosocial health while some types of electronic media use are. Future research should investigate the contexts in which preschoolers participate in these behaviors and potential causal mechanisms of associations.

Background: Some evidence suggests that higher energy intake (EI) later in the day is associated with poor diet quality and obesity. However, EI at one eating occasion (EO) is also dependent on EI at surrounding EOs. Studies that examine the distribution of EOs across the day are rare.Objective: The aim of this study was to examine associations between temporal eating patterns, nutrient intakes, diet quality, and measures of adiposity in a representative sample of Australian adults.Design: Dietary data from two 24-h recalls collected during the cross-sectional 2011-2012 Australian National Nutrition and Physical Activity Survey were analyzed (n = 4544 adults, aged ≥19 y). Temporal eating patterns, based on the distribution of EOs across the day, were determined by using latent class analysis. Diet quality estimated adherence to healthy eating recommendations and was assessed by using the 2013 Dietary Guidelines Index (DGI). Multivariate regression models assessed associations between temporal eating patterns, nutrient intakes, diet quality, and adiposity (body mass index, waist circumference, weight status, and central weight status). Models were adjusted for potential confounders and energy misreporting.Results: Three patterns, labeled "conventional," "later lunch," and "grazing," were identified. Compared with a "conventional" or "later lunch" pattern, men and women with a "grazing" pattern had lower DGI scores and higher intakes of discretionary (noncore) foods (P < 0.05). Among women, the "grazing" pattern was associated with overweight or obesity (OR: 1.57; 95% CI: 1.15, 2.13) and central overweight or obesity (OR: 1.73; 95% CI: 1.19, 2.50). These associations were attenuated after the exclusion of energy misreporters and adjustment for total EI.Conclusions: This study found that a "grazing" temporal eating pattern was modestly but significantly associated with poorer diet quality and adiposity among women, after adjustment for covariates and energy misreporting. Future research should consider the impact of energy misreporting on the relation between temporal eating patterns and adiposity. This secondary analysis was registered at anzctr.org.au as ACTRN12617001029381.

This study examined two year changes in children's active transport and independent mobility and prospective associations between individual, social and physical environmental predictors of interest and these behaviors two years later. Overall, 43.5% of children (12.0 ± 2.1 years) used active transport on the school journey at T1 and at T2 (p=0.77), and 35.3% engaged in independent mobility on the school journey at T1 and 29.6% at T2 (p=0.07). Enjoyment, parental safety concerns, and proximity to walking tracks were associated with independent mobility on the school journey. Road safety and social norms were associated with active transport and independent mobility to local destinations. These factors provide potential targets for interventions.

Refereed/Peer-reviewed The directionality of the relationship between children's physical activity and sleep is unclear. This study examined the temporal and bidirectional associations between objectively measured physical activity, energy expenditure, and sleep in primary school-aged children. A subgroup of children (n = 65, aged 8-11 years) from the Fitness, Activity and Skills Testing Study conducted in Melbourne, Australia, had their sleep and physical activity assessed using the SenseWear Pro Armband for 8 consecutive days. Outcome measures included time spent in light-intensity physical activiy (LPA), moderate-to vigorousintensity physical activity (MVPA), activity energy expenditure (AEE), time in bed, total sleep time, and sleep efficiency. Multilevel analyses were conducted using generalized linear latent mixed models to determine whether physical activity on 1 day was associated with sleep outcomes that night, and whether sleep during 1 night was associated with physical activity the following day. No significant associations were observed between time in bed, total sleep time, and sleep efficiency with LPA, MVPA, and AEE in either direction. This study found no temporal or bidirectional associations between objectively measured physical activity, AEE, and sleep. Future research is needed to understand other sleep dimensions that may impact on or be influenced by physical activity to provide potential intervention targets to improve these outcomes. usc

Objectives: To identify the number of hours and days or nights of monitoring required to reliably estimate energy expenditure (EE), steps, waking sedentary time, light- (LPA), moderate- (MPA), vigorous- (VPA), moderate- to vigorous-intensity physical activity (MVPA), time in bed and total sleep time using the SenseWear Armband.Design: Cross-sectional study.Methods: One hundred and two children (50% boys) aged 8-11 years from six schools wore a SenseWear Armband (BodyMedia Inc, USA) for eight consecutive days (seven consecutive nights). Hourly increments of valid day wear time criteria were examined (days/week; 8h/day-14h/day). Intra-class correlation coefficients estimated the reliability for any individual day for each wear time criteria. The Spearman-Brown prophecy formula was used to determine the number of days/nights of monitoring needed to achieve reliability estimates of 0.7, 0.8 and 0.9.Results: Fewer monitoring days were needed as the valid day criteria became more stringent. For example, at least 12 h of wear time on at least 2 days was required to achieve a reliability of 0.7 for EE. In contrast, at least 8 h/day on 5 days resulted in reliable estimates (0.7) for MPA, VPA and MVPA. Between 6 and 7 nights of monitoring were required to reliably estimate children's time in bed and total sleep time, respectively.Conclusions: A 7-day monitoring protocol in primary school-aged children would provide acceptable reliability for the assessment of EE, waking sedentary time, LPA, MPA, VPA, MVPA, time in bed and total sleep time, as assessed by the SenseWear Armband. (C) 2016 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved. usc Refereed/Peer-reviewed

Home-based interventions targeting children&rsquo, s sedentary behaviours have had limited and inconsistent effectiveness, possibly due to a mismatch between the behaviours targeted, the behaviours actually performed, and health-risk messages parents need to initiate change. Between October 2017&ndash, February 2018, 540 parents completed an online survey indicating their own and their child&rsquo, s participation in 15 home-based sedentary behaviours (child mean age 11.1 &plusmn, 2.61 years, 52% male, parent mean age 40.7 &plusmn, 6.14, 93% female). Parents also indicated which home-based sedentary behaviours they and their child could reduce, and what health-risk messages would make them change their child&rsquo, s behaviours. The most prevalent sedentary behaviours among children (particularly older children) and parents were screen-based leisure-time activities, specifically TV/video/DVD use (67.5 and 62.5 min/day, respectively) and using a tablet/smart phone for leisure (53.6 and 80.8 min/day, respectively). Importantly, these were also perceived as the most feasible behaviours parents and children could reduce. Parents reported that the following messages would help them reduce their child&rsquo, s sedentary behaviour: sitting may increase the risk of poor mental health (85.2% of parents) and adversely impact future health as an adult (85.1%). These findings highlight feasible behavioural targets and intervention content for programs aiming to reduce sedentary behaviours in the home environment. Further research is needed to test these strategies.

Purpose This quasi-experimental study examined the impact of height-adjustable desks in combination with prompts to break up prolonged sitting time during class time and identified social and motivational factors associated with breaking up sitting time among adolescents. Teachers’ perceptions of strategies were also examined. Methods Over 17 weeks, 1 classroom in a government secondary school in Melbourne, Australia, was equipped with 27 height-adjustable desks and prompts (posters and desk stickers) to break up classroom sitting time. Teachers received professional development in the use of the desks and prompts. One group of adolescents (n = 55) had 2–5 lessons/week using the height-adjustable desks in an intervention classroom, and a comparison group matched by year level and subject (n = 50) was taught in traditional “seated” classrooms. Adolescents wore an activPAL monitor at baseline (T0), 4 weeks (T1), and 17 weeks (T2) and completed a survey at T0 and T2. Six teachers participated in interviews at T2. Effect sizes were calculated (d). Results Linear mixed models found that, compared to the traditional “seated” classrooms, the adolescents in the intervention classroom had significantly lower sitting time (T1: –9.7 min/lesson, d = –0.96; T2: –6.7 min/lesson, d = –0.70) and time spent in sitting bouts >15 min (T2: –11.2 min/lesson, d = –0.62), and had significantly higher standing time (T1: 7.3 min/lesson, d = 0.84; T2: 5.8 min/lesson, d = 0.91), number of breaks from sitting (T1: 1.3 breaks/lesson, d = 0.49; T2: 1.8 breaks/lesson, d = 0.67), and stepping time (T1: 2.5 min/lesson, d = 0.66). Intervention classroom adolescents reported greater habit strength (d = 0.58), self-efficacy for breaking up sitting time (d = 0.75), and indicated that having a teacher/classmate remind them to stand as helpful (d = 0.50). Conclusion This intervention shows promise for targeting sitting behaviors in the classroom and indicates that incorporating social and motivational strategies may further enhance outcomes.

Objective: Little is known about how the physical environment impacts physical activity behaviour among rural populations, who are typically less active and at higher risk of chronic disease than urban dwellers. The lack of individual-level instruments to assess the physical environment in rural areas limits advancement of this field. Among rural adults, this study aimed to evaluate (a) the test-retest reliability of a self-reported questionnaire of individual-level perceptions of the physical activity environment, and (b) the stability of a self-reported physical activity questionnaire. Design: Cross-sectional questionnaire repeated twice, 2 weeks apart. The questionnaire included 94 items relating to the perceived physical environment (representing nine summary scores), demographic characteristics and physical activity. Setting: Rural Australia. Participants: Rurally residing adults (≥18 years) across three Australian states.Main outcome measures: Test-retest reliability evaluated by weighted Kappa statistics(individual items) and intra-class correlations (summary scores). Results: A total of 292 participants (20% men) completed both questionnaires, on average22 days apart. Test-retest reliability of individual items ranged from weighted Kappa 0.37-0.85 (median: 0.59). Internal reliability for five summary scores was good to excellent (Cronbach's alpha: 0.81-0.97). Test-retest reliability was good to excellent for six summary scores (intra-class correlations: 0.67-0.77). Conclusions: The findings indicated good to excellent test-retest reliability for most items, particularly “fixed” constructs for this new questionnaire measuring the perceived physical environment in rural populations. This study represents an important step towards improving measurement of physical activity environments in rural populations, potentially leading to better tailored interventions to promote active and healthy living in rural areas. Refereed/Peer-reviewed

BackgroundGlobally, 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.MethodsThe 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.Results27 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.ConclusionsImplementation 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 registrationPROSPERO (CRD42018099836).

Background Clusters of adolescents differentiated by patterns of physical activity and sedentary behavior (activity-related typologies) are common. Understanding both the characteristics of adolescents and modifiable correlates of these typologies, can help to develop interventions for those most at risk. This systematic review aimed to synthesize the socio-demographic characteristics and modifiable correlates of activity-related behavioral typologies among adolescents. Methods A systematic search of seven electronic databases was conducted to identify quantitative studies using person-oriented statistical approaches to identify activity-related behavioral typologies among 12–18 year-olds. This systematic review was registered in Prospero (registration number: CRD42016046879). Results Thirty-six studies met the inclusion criteria and were classified according to three sub-themes based on behaviors included in the typologies (1. physical activity and sedentary behavior only; 2. physical activity, sedentary behavior and risk-related behaviors; 3. physical activity, sedentary behavior and diet). Studies were mostly cross-sectional and relied on self-report measures. Methods were considerably heterogeneous, however results revealed some consistency in typologies within specific groups. For example, typologies characterized by unhealthy behavior patterns (e.g., characterized by physical inactivity, high sedentary behavior and poor diet or high risk-related behaviors) comprised more older adolescents. With the exception of socio-demographics (age, sex, body mass index and socio-economic status), very few correlates have been studied to date (mostly school-related behavioral factors and intrapersonal influences), with evidence largely from typologies comprised of physical activity, sedentary behavior and diet. Conclusions More research is needed to assess a range of modifiable correlates associated with activity-related behavior typologies among adolescents. This will allow for more targeted interventions, to achieve long-lasting, positive behavior change in adolescent populations. Electronic supplementary material The online version of this article (10.1186/s12966-019-0804-7) contains supplementary material, which is available to authorized users.

Parks provide an opportunity for children to be physically active, but are rarely fully utilised. A better understanding of which park features attract children of varying ages is needed. This study examined which features are present at parks that children visit most often at different stages throughout childhood. Parents reported the park their child visited most often at three timepoints: T1 = 3&ndash, 5 years, T2 = 6&ndash, 8 years, and T3 = 9&ndash, 11 years. These parks were then audited (using a purposely created audit tool) to capture information relating to access, activity areas and quality. Online mapping tools were also used to determine walking distance to parks and park size. Parks visited at T2 were further from home, larger, and had more road crossings, full courts, other facilities and comfort amenities such as toilets and lights than T1 parks. Parks visited at T3 were larger and had more sports ovals compared to T1 parks, and were significantly less likely to have barbeque facilities than T2 parks. Our findings suggest that as children transition from pre-school (T1), to primary school age (T2 and T3), they visit parks that have more facilities to support sport and active recreation.

Active travel can have health and environmental benefits. This study evaluated the impact of a month-long (October 2015) campaign encouraging primary school children in Victoria, Australia to engage in active school travel. With support from local councils, schools participated in the campaign by monitoring active school travel and delivering promotional activities. A longitudinal study evaluated campaign impact. Carers (n = 715) of Victorian primary school children were recruited via social media and completed online surveys at baseline (T1; 0 wk) and during (T2; +2 wks) and after the campaign (T3; +6 wks). Carers reported their child's travel behaviour over the last five school days, and whether their child and/or their child's school participated in the campaign. Separate generalised linear models were used for T2 and T3 outcomes adjusting for T1 values and potential confounders. A greater proportion of children who participated in the campaign engaged in any active school travel at T2 (OR = 2.49, 95% CI = 1.63, 3.79) and T3 (1.62, 95% CI = 1.06, 2.46) compared with non-participating children. Similarly, these children had a higher frequency of active school travel at T2 (IRR = 1.60, 95% CI = 1.29, 1.97) and T3 (IRR = 1.45, 95% CI = 1.16, 1.80). Campaign participation resulted in small, short-term increases in active school travel. Keywords: Walking, Cycling, Active travel, Young people, Intervention, School

BACKGROUND There is increasing availability of, and interest in, wearable activity trackers for children younger than 13 years. However, little is known about how children and parents use these activity trackers or perceive their acceptability. OBJECTIVE This study primarily aimed to ascertain parental perspectives on the acceptability and usability of wearables designed to monitor children’s physical activity levels. Secondary aims were to (1) identify practical considerations for future use in physical activity interventions and promotion initiatives; (2) determine use of different features and functions incorporated into the accompanying app; and (3) identify parents’ awareness of their child’s current physical activity levels. METHODS In total, 36 children (18 boys and 18 girls) aged 7-12 years were asked to wear a wrist-worn activity tracker (KidFit) for 4 consecutive weeks and to use the accompanying app with parental assistance and guidance. Each week, one parent from each family (n=25; 21 mothers and 4 fathers) completed a Web-based survey to record their child’s activity tracker use, app interaction, and overall experiences. At the end of the 4-week period, a subsample of 10 parents (all mothers) participated in face-to-face interviews exploring perceptions of the acceptability and usability of wearable activity trackers and accompanying apps. Quantitative and qualitative data were analyzed descriptively and thematically, respectively. Thematic data are presented using pen profiles, which were constructed from verbatim transcripts. RESULTS Parents reported that they and their children typically found the associated app easy to use for activity tracking, though only step or distance information was generally accessed and some difficulties interpreting the data were reported. Children were frustrated with not being able to access real-time feedback, as the features and functions were only available through the app, which was typically accessed by, or in the presence of, parents. Parents identified that children wanted additional functions including a visual display to track and self-monitor activity, access to the app for goal setting, and the option of undertaking challenges against schools or significant others. Other barriers to the use of wearable activity trackers included discomfort of wearing the monitor because of the design and the inability to wear for water- or contact-based sports. CONCLUSIONS Most parents reported that the wearable activity tracker was easy for their child or children to use and a useful tool for tracking their children’s daily activity. However, several barriers were identified, which may impact sustained use over time; both the functionality and wearability of the activity tracker should therefore be considered. Overall, wearable activity trackers for children have the potential to be integrated into targeted physical activity promotion initiatives.

BACKGROUND Wearable technology interventions combined with digital behavior change resources provide opportunities to increase physical activity in adolescents. The implementation of such interventions in real-world settings is unknown. The Raising Awareness of Physical Activity (RAW-PA) study was a 12-week cluster randomized controlled trial targeting inactive adolescents attending schools in socioeconomically disadvantaged areas of Melbourne, Australia. The aim was to increase moderate- to vigorous-intensity physical activity using (1) a wrist-worn Fitbit Flex and app, (2) weekly challenges, (3) digital behavior change resources, and (4) email or text message alerts. OBJECTIVE This paper presents adolescents’ and teachers’ perceptions of RAW-PA in relation to program acceptability, feasibility and perceived impact, adolescent engagement and adherence, and the potential for future scale-up. METHODS A mixed methods evaluation of the RAW-PA study assessed acceptability, engagement, feasibility, adherence, and perceived impact. A total of 9 intervention schools and 144 intervention adolescents were recruited. Only adolescents and teachers (n=17) in the intervention group were included in the analysis. Adolescents completed web-based surveys at baseline and surveys and focus groups postintervention. Teachers participated in interviews postintervention. Facebook data tracked engagement with web-based resources. Descriptive statistics were reported by sex. Qualitative data were analyzed thematically. RESULTS Survey data were collected from 142 adolescents at baseline (mean age 13.7 years, SD 0.4 years; 51% males) and 132 adolescents postintervention. A total of 15 focus groups (n=124) and 9 interviews (n=17) were conducted. RAW-PA had good acceptability among adolescents and teachers. Adolescents perceived the intervention content as easy to understand (100/120, 83.3%) and the Fitbit easy to use (112/120; 93.3%). Half of the adolescents perceived the text messages to be useful (61/120; 50.8%), whereas 47.5% (57/120) liked the weekly challenges and 38.3% (46/120) liked the Facebook videos. Facebook engagement declined over time; only 18.6% (22/118) of adolescents self-reported wearing the Fitbit Flex daily postintervention. Adolescents perceived the Fitbit Flex to increase their physical activity motivation (85/120, 70.8%) and awareness (93/119, 78.2%). The web-based delivery facilitated implementation of the intervention, although school-level policies restricting phone use were perceived as potential inhibitors to program roll-out. CONCLUSIONS RAW-PA showed good acceptability among adolescents attending schools in socioeconomically disadvantaged areas and their teachers. Low levels of teacher burden enhanced their perceptions concerning the feasibility of intervention delivery. Although adolescents perceived that RAW-PA had short-term positive effects on their motivation to be physically active, adolescent adherence and engagement were low. Future research exploring the feasibility of different strategies to engage adolescents with wearable technology interventions and ways of maximizing system-level embeddedness of interventions in practice would greatly advance the field.

Background Active breaks in the classroom have been shown to be effective for increasing children’s physical activity, while simultaneously improving classroom behaviour outcomes. However, there is limited evidence on the feasibility and fidelity of these programs outside of the research context. The purpose of this study was to conduct a process evaluation to explore factors associated with feasibility and fidelity of a classroom active break (ACTI-BREAK) program designed to improve classroom behaviour and physical activity outcomes for children in primary (elementary) school Years 3 and 4. Methods Six schools (3 intervention; 3 control) and 374 children (74% response) were included in the ACTI-BREAK pilot cluster randomised controlled trial. The intervention involved teachers implementing 3 × 5-minute moderate-intensity ACTI-BREAKS into their classroom routines, daily. This study focuses on the responses of students (n = 138) and their teachers (n = 7) who participated in the ACTI-BREAK intervention group. Intervention fidelity was assessed by number of ACTI-BREAKS completed per class per day; minutes spent in moderate-intensity physical activity (accelerometry) per ACTI-BREAK; change in physical activity from baseline to mid- and end- intervention. Intervention feasibility was explored through telephone interviews (teachers), questionnaires and focus groups (students), and teacher observations of acute effects on classroom behaviour. Qualitative data were analysed using thematic analyses; acute effects on classroom behaviour and change in physical activity were explored using paired t-tests; questionnaire data were described as frequencies. Results Teachers implemented two ACTI-BREAKS/day on average, mostly of light-intensity physical activity. Physical activity increased from baseline to mid-, but not baseline to end-intervention; classroom behaviour improved immediately following ACTI-BREAKS. Barriers to implementation included ability for students to return to task and scheduling. Facilitators included ease of implementation, flexible delivery options and student enjoyment. Students were largely satisfied with the program and enjoyed ACTI-BREAKS that incorporated choice, imagination and challenge but did not enjoy ACTI-BREAKS that evoked silliness or were perceived as too difficult and some did not like doing ACTI-BREAKS in the confined space of their classroom. Conclusions Results indicated the ACTI-BREAK program was acceptable for students and feasible for teachers, however, some minor modifications in terms of required frequency and intensity could improve fidelity. Trial registration Australia New Zealand Clinical Trials Registry (ACTRN12617000602325). Retrospectively registered on 27 April 2017.

peer-reviewed Background: Students engage in risky health-related behaviours that influence their current and future health status. Health-related behaviours cluster among adults and differently based on sub-populations characteristics but research is lacking for university populations. Examining the clustering of health- related behaviours can inform our initiatives and strategies, while examining cluster members’ characteristics can help target those who can prosper most from health promotion efforts. This study examines the clustering of health-related behaviours in Irish university students, and investigates the relationship with students’ sex, age, field of study and accommodation type. Methods: An online survey was completed by 5672 Irish university students (51.3% male; 21.60 ± 5.65 years) during 2014. Two-step cluster analysis was used to understand how health-related behaviours (physical activity, smoking, alcohol intake, drug use and dietary habits) cluster among male and female students. Binary logistic regressions were conducted to examine the likelihood of students falling into certain clusters based on their characteristics. Results: Five cluster groups were identified in males and four in females. A quarter of males were categorised as ideal healthy with older students and those from certain fields of study having a higher likelihood of being classified in a low physical activity and poor diet (OR = 1.06–2.89), alcohol consumption (OR = 1.03–3.04), or smoking and drug use (OR = 1.06–2.73) cluster. Forty-five percent of females were categorised as ideal healthy with older females more likely to be in a low active and smoking cluster (OR = 1.03), and less likely to be in a convenience food cluster (OR = 0.96). Females from certain fields of study were also more likely to be classified in these clusters (OR = 1.59–1.76). Students living away from their family home had in increased likelihood of being in a cluster related to a higher frequency of alcohol consumption (OR = 1.72–3.05). Conclusion: Health-related behaviours cluster among this population and need to be taken into account when designing multi-health interventions and policies. These findings can be used to target student groups at risk, leading to more efficient and successful health promotion efforts. The addition of modules providing information regarding health-related behaviours are advised in all fields of study. PUBLISHED peer-reviewed

Background Adolescents engage in various combinations (typologies) of physical activity and sedentary behaviors, which impact their health and wellbeing in different ways. As such, there is a need to understand the factors that may inhibit or facilitate engagement in combinations of activity-related behaviors to help inform effective intervention strategies targeting those most in need. The aim of this study was to identify ecological correlates of adolescent physical activity and sedentary behavior typologies. Methods Cross-sectional study of 473 adolescents (15.0 ± 1.6 years, 41.4% boys) from 18 secondary schools in Melbourne, Australia. Intrapersonal, interpersonal and neighborhood-physical environmental factors were assessed via self-report surveys and Geographic Information Systems. Multinomial logistic regression models determined the relative risk ratio of membership of three homogenous activity-related behavior typologies based on the potential correlates. Results Higher levels of self-efficacy for physical activity, parental screen-time restriction rules, parental support for physical activity, sibling screen-time co-participation and perceptions of neighborhood pedestrian/traffic safety were associated with greater likelihood of adolescents being in the typology defined as highly active and low sedentary compared to the physically inactive, highly sedentary typology. Higher frequency of co-participation in screen-time with friends was associated with greater likelihood of adolescents being in the typology defined as moderately active, high screen-time compared to physically inactive, highly sedentary. Conclusions A range of intrapersonal, interpersonal and environmental correlates appear to play a role in adolescent activity-related typology membership. The findings may inform public health interventions targeting unique adolescent subgroups most at risk of poor health outcomes based on their engagement in combinations of activity-related behaviors. Electronic supplementary material The online version of this article (10.1186/s12889-019-7386-9) contains supplementary material, which is available to authorized users.

Adolescents spend significant amounts of time engaged in various types of sedentary behaviour (SB). This study examined associations between adolescents’ objectively measured sedentary time, sitting time, specific self-reported SBs and social connectedness. Adolescents (n = 429, 15.5 years, 41% male) completed an online survey reporting time in seven SBs (TV/videos/DVDs, computer/video games, internet, homework, reading, car and bus travel, examined individually and summed for screen time and total SB), and social connectedness using the eight-item Social Connectedness Scale. A subsample (n = 353) also wore an ActiGraph GT3X+ (model GT3X+, Pensacola, FL, USA) accelerometer to measure sedentary time (&lt, 100 cpm) and n = 237 wore an activPAL (PAL Technologies Ltd., Glasgow, Scotland) inclinometer to measure sitting time. Multiple linear mixed models determined associations between each SB variable and social connectedness, adjusting for confounders. Adolescents spent on average 7.8 h/day in self-reported total SB, 4.4 h/day in screen time, 9.1 h/day in ActiGraph-measured sedentary time, and 9.5 h/day in activPAL-measured sitting time. After adjusting for age, sex and area level socioeconomic status, total SB (−0.24, 95%CI: −0.37, −0.11), screen time (−0.23, 95%CI: −0.41, −0.05) and two individual SBs (computer/video games (−1.07, 95%CI: −1.53, −0.60), homework (−0.61, 95%CI: –1.04, −0.18) were negatively associated with social connectedness. There were no associations with the objective measures. The relationships may be bi-directional, therefore, future research should involve longitudinal designs and explore other potential contributing factors.

This study examined two-year changes in patterns of activity and associations with body mass index (BMI) and waist circumference (WC) among adolescents. Inclinometers (activPAL) assessed sitting, sitting bouts, standing, stepping, and breaks from sitting. ActiGraph-accelerometers assessed sedentary time (SED), light-intensity physical activity (LIPA, stratified as low- and high-LIPA), and moderate-to-vigorous physical activity (MVPA). Anthropometric measures were objectively assessed at baseline and self-reported at follow-up. Data from 324 and 67 participants were obtained at baseline and follow-up, respectively. Multilevel mixed-effects linear regression models examined changes over time, and associations between baseline values and BMI and WC at follow-up. There were significant increases in BMI (0.6 kg/m2) and durations of prolonged sitting (26.4 min/day) and SED (52 min/day), and significant decreases in stepping (&minus, 19 min/day), LIPA (&minus, 33 min/day), low-LIPA (&minus, 26 min/day), high-LIPA (&minus, 6.3 min/day), MVPA (&minus, 19 min/day), and the number of breaks/day (&minus, 8). High baseline sitting time was associated (p = 0.086) with higher BMI at follow-up. There were no significant associations between baseline sitting, prolonged sitting, LIPA, or MVPA with WC. Although changes in daily activity patterns were not in a favourable direction, there were no clear associations with BMI or WC. Research with larger sample sizes and more time points is needed.

Objectives To describe cycling behaviours and examine individual, social and neighbourhood correlates of cycling among children living in socio-economically disadvantaged neighbourhoods. Design Cross-sectional. Methods Mothers of 289 children (46% boys) aged 8–15 (mean 12 ± 2.2) years living in disadvantaged neighbourhoods in Victoria, Australia were surveyed about their child’s cycling frequency and duration in a typical week. Perceptions of cycling, cycling ability, cycling behaviours and road safety were proxy- and self-reported by mothers. Shortest road distance from home to school was determined using a Geographic Information System. Multivariable logistic regression analyses examined associations between individual, social and neighbourhood variables and cycling frequency ( > once/week) and duration ( > 60 min/week). Results Overall, 70% of boys and 49% of girls cycled > once/week; rates of cycling for > 60 min/week were 60% and 32%, respectively. Children had greater odds of cycling > once/week if they enjoyed cycling for fun (OR = 13.3, 95%CI = 2.0, 86.9). Children had greater odds of cycling for > 60 min/week if they enjoyed cycling for fun (OR = 17.1, 95%CI = 1.7, 167.7) or if they were allowed to cycle on main roads (OR = 3.2, 95%CI = 1.1, 9.1). Children who had to cross several roads to access play areas had lower odds of cycling for > 60 min/week (OR = 0.3, 95%CI = 0.1, 0.7). Conclusions Future research should investigate strategies to increase children’s enjoyment of cycling, independent mobility and safe access by cycling to key destinations such as play areas.

Parks are important public resources that offer opportunities to be physically active and connect socially. However, parks are not well attended by adolescents, and limited research exists to inform optimal park design to increase adolescents’ park visits and support active and social park use. This study aimed to gain in-depth insights into park characteristics that are important for influencing park visitation, park-based physical activity and social interaction among adolescents. Participants (n = 34, aged 13–18 years, 41.2 % female) were recruited from diverse neighbourhoods in Melbourne, Australia. Walk-along interviews were conducted in nine pre-selected parks, where researchers and participants walked together during the interview. The interviews were audio-taped, transcribed verbatim and analysed using content analysis. The most commonly mentioned characteristics for encouraging park visitation were: the presence of natural features; sports features (e.g., sports courts); playgrounds; aesthetics/condition; and location. The presence of sports features, fitness equipment, walking/cycling paths, playgrounds and green open space were the most frequently mentioned features for encouraging park-based physical activity. The most commonly mentioned features for encouraging socialising when at the park were: presence of barbecue/picnic areas; sports features; seating; organised events; and shade/shelter. Female adolescents more commonly mentioned safety and the presence of playgrounds, and males more commonly noted sports features, size and location as being important for park visitation. Adolescents also considered social factors, such as accompaniment and peer influence, as being critical for encouraging them to visit the park. Many park features were important for all behaviours. For example, sports features were most commonly mentioned as being important for encouraging adolescents’ park visitation and active and social park use. Stakeholders should consider these factors when (re)designing parks to ensure the parks appeal to this sub-population and encourage adolescents to visit and be active and social in this setting.

Social interaction and physical activity are of paramount importance to children’s health and development and parks are one setting where children can be active and interact with others. However, the specific features of parks that promote or support physical activity and social interaction are not well-understood. The aim of this study was to examine the perceived importance of a selection of park features for encouraging park visitation, park-based physical activity and social interaction among children. Participants (n = 272, 9.6 ± 1.1 years, 51 % female) attending primary schools in Melbourne, Australia completed a survey during school time. They rated (from 1 to 10) digital images of 42 park features according to how much each feature would make them want to “visit the park”, “be active in the park” and “be with other people in the park”. Mean rating scores were calculated for the whole sample, and separately for males and females. For each condition (visit, active, social), each feature was then assigned a ranking from 1 to 42 (1 representing highest mean rating score). A large adventure playground was the highest rated image for all three outcomes. The next highest rated images were: a giant slide and interactive areas for park visitation; an obstacle course and giant slide for park-based physical activity; and interactive areas and an obstacle course for social interaction. Many differences in ratings were observed by gender, highlighting the importance of considering all demographic groups. This study reveals important perspectives from children about which park features should be prioritised in park design to encourage them to visit parks and to be active and social during their park visits. This evidence will inform planners and urban designers to create parks that better suit the needs of children, particularly in relation to social interaction and physical activity.