Use of behavior change techniques in physical activity programs and services for older adults: findings from a rapid review.

BACKGROUND: Understanding behavior change techniques (BCTs) used in randomized controlled trials (RCTs) of physical activity programs/services for older adults can help us to guide their implementation in real-world settings. PURPOSE: This study aims to: (a) identify the number and type of BCTs used in physical activity programs/services for older adults evaluated in large, good quality RCTs and (b) explore the impact of different BCTs on different outcome domains. METHODS: This is a secondary data analysis of a WHO-commissioned rapid review of physical activity programs/services for older adults. Fifty-six trials testing 70 interventions were coded for the type and number of BCTs present using a published BCT taxonomy. The proportion of positive effects found from physical activity interventions using the most common BCTs was calculated for the outcomes of physical activity, intrinsic capacity, functional ability, social domain, cognitive and emotional functioning, and well-being and quality of life. RESULTS: Thirty-nine of the 93 possible BCTs were identified in the included trials and 529 BCTs in total (mean 7.6, range 2-17). The most common BCTs were "action planning" (68/70 interventions), "instructions on how to perform a behavior" (60/70), "graded tasks" (53/70), "demonstration of behavior" (44/70), and "behavioral practice/rehearsal" (43/70). Interventions that used any of the most common BCTs showed overwhelmingly positive impacts on physical activity and social domain outcomes. CONCLUSION: Consideration of which BCTs are included in interventions and their impact on outcomes can improve the effectiveness and implementation of future interventions. To enable this, providers can design, implement, and evaluate interventions using a BCT taxonomy.

Interventions aimed at modifying health-related behaviors, such as physical activity, are often complex, with numerous components. To better understand interventions' "active ingredients," we conducted a secondary analysis of a World Health Organization (WHO)-commissioned rapid review, using a behavior change technique (BCT) taxonomy. We aimed to classify the number and types of BCTs in physical activity programs for older adults, as identified in randomized controlled trials (RCTs), and examine their impact on outcomes, including physical activity, intrinsic capacity, functional ability, social domain, cognitive and emotional functioning, and well-being. Examining 56 trials testing 70 interventions, we identified 39 out of 93 possible BCTs, totaling 529 instances across interventions. Common BCTs included "action planning," "instructions on how to perform a behavior," "graded tasks," "demonstration of behavior," and "behavioral practice/rehearsal." Interventions using the 10 most common BCTs demonstrated overwhelmingly positive impacts on physical activity and social domain outcomes. However, these BCTs were not consistently present in interventions yielding positive outcomes in other domains, with greater variation in effects. Our study highlights the significance of identifying both BCTs and desired outcomes when designing physical activity interventions. We advocate for the use of a taxonomy in designing and implementing future programs to maximize effectiveness.

How long does it take to scale-up obesity prevention interventions?

OBJECTIVE: The scale-up of evidence-based interventions is necessary to reverse high rates of obesity. However, scale-up doesn't occur frequently nor in a timely manner. While it has been estimated that takes 14-17 years for research translation to occur, the time taken to scale-up prevention interventions is largely unknown. This study examined the time taken to scale-up obesity prevention interventions across four scale-up pathways. METHODS: A sample of obesity prevention interventions that had been scaled-up or implemented at scale were found using a structured search strategy. Included interventions were mapped against four scale-up pathways and timeframes associated with each stage of the scale-up pathway were identified to determine the time taken to scale-up. RESULTS: Of the 90 interventions found that were scaled-up to at least a city-wide level, less than half reported a comprehensive research pathway to scale-up and a third did not report any evidence of efficacy or effectiveness prior to scale-up. The time taken to scale-up ranged from 0 to 5 years depending on the pathway taken. Those following a comprehensive pathway took approximately 5 years to scale-up, while interventions that had only one evidence generating step took between 1 and 1.5 years to scale-up. For the remaining interventions, scale-up occurred immediately post-development without evidence generation. CONCLUSIONS: Our findings indicate that the scale-up of obesity prevention interventions can occur more quickly than previous estimates of 14-17 years. Our findings support previous research that scale-up of interventions occurs through a variety of pathways and often scale-up occurs in absence of prior evidence of effectiveness.

Data-driven collaborative QUality improvement in Cardiac Rehabilitation (QUICR) to increase program completion: protocol for a cluster randomized controlled trial.

BACKGROUND: Coronary heart disease (CHD) is the leading cause of deaths and disability worldwide. Cardiac rehabilitation (CR) effectively reduces the risk of future cardiac events and is strongly recommended in international clinical guidelines. However, CR program quality is highly variable with divergent data systems, which, when combined, potentially contribute to persistently low completion rates. The QUality Improvement in Cardiac Rehabilitation (QUICR) trial aims to determine whether a data-driven collaborative quality improvement intervention delivered at the program level over 12 months: (1) increases CR program completion in eligible patients with CHD (primary outcome), (2) reduces hospital admissions, emergency department presentations and deaths, and costs, (3) improves the proportion of patients receiving guideline-indicated CR according to national and international benchmarks, and (4) is feasible and sustainable for CR staff to implement routinely. METHODS: QUICR is a multi-centre, type-2, hybrid effectiveness-implementation cluster-randomized controlled trial (cRCT) with 12-month follow-up. Eligible CR programs (n = 40) and the individual patient data within them (n ~ 2,000) recruited from two Australian states (New South Wales and Victoria) are randomized 1:1 to the intervention (collaborative quality improvement intervention that uses data to identify and manage gaps in care) or control (usual care with data collection only). This sample size is required to achieve 80% power to detect a difference in completion rate of 22%. Outcomes will be assessed using intention-to-treat principles. Mixed-effects linear and logistic regression models accounting for clusters within allocated groupings will be applied to analyse primary and secondary outcomes. DISCUSSION: Addressing poor participation in CR by patients with CHD has been a longstanding challenge that needs innovative strategies to change the status-quo. This trial will harness the collaborative power of CR programs working simultaneously on common problem areas and using local data to drive performance. The use of data linkage for collection of outcomes offers an efficient way to evaluate this intervention and support the improvement of health service delivery. ETHICS: Primary ethical approval was obtained from the Northern Sydney Local Health District Human Research Ethics Committee (2023/ETH01093), along with site-specific governance approvals. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12623001239651 (30/11/2023) ( https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=386540&isReview=true ).

Effectiveness of NSW health get healthy telephone coaching in adults screened from general practices.

BACKGROUND: The effectiveness of the NSW Health "Get Healthy Information and Coaching Service®"(Get Healthy) to facilitate weight loss on a population scale has been documented, but this was based on self-reported measures. Our study aims to test the effectiveness of the Get Healthy Service on objectively measured weight, BMI, waist circumference, and changes in other health behaviours, including nutrition, physical activity and alcohol intake. METHODS: Men and women aged 40-70 years (n = 154) with pre-diabetes (5.7% < HbA1c < 6.5%) were referred from GP Practices to the Get Healthy Service, NSW Health. A subset (n = 98) participated in the "Zinc In Preventing the Progression of pre-Diabetes" (ZIPPeD) trial (ACTRN12618001120268). RESULTS: The self-reported outcomes showed a statistically significant improvement from baseline to 12 months in weight (mean 2.7 kg loss, p < 0.001), BMI (mean 1 unit reduction, p < 0.001), and waist circumference (mean 4.3 cm reduction, p < 0.001). However, in the objectively measured outcomes from ZIPPeD, the differences were more modest, with point estimates of 0.8 kg mean weight loss (p = 0.1), 0.4 unit reduction in BMI (p = 0.03), and 1.8 cm reduction in waist circumference (p = 0.04). Bland-Altman plots indicated that discrepancies were due to a small number of participants who dramatically underestimated their weight or BMI. There were minimal changes in nutrition, physical activity, and alcohol. CONCLUSIONS: The potential benefits of Get Healthy should be interpreted with caution as we have shown significant differences between self-reported and objectively measured values. More valid and objective evidence is needed to determine the program's effectiveness and cost-effectiveness.

It's about time to exercise: development of the Exercise Participation Explained in Relation to Time (EXPERT) model.

A perceived 'lack of time' is consistently the most commonly reported barrier to exercise. However, the term fails to capture the multifaceted nature of time-related factors. Recognising the need for a more comprehensive analysis of 'lack of time' as a barrier to exercise, the aim of this study was to develop the exercise participation explained in relation to time (EXPERT) model. The model was developed through a sequential process including (1) an umbrella literature review of time as a barrier, determinant, and correlate of physical activity; (2) a targeted review of existing temporal models; (3) drafting the model and refining it via discussions between eight authors; (4) a three-round Delphi process with eight panel members; and (5) consultations with seven experts and potential end-users. The final EXPERT model includes 31 factors within four categories: (1) temporal needs and preferences for exercise (ie, when and how long does an individual need/want to exercise), (2) temporal autonomy for exercise (ie, autonomy in scheduling free time for exercise), (3) temporal conditions for exercise (ie, available time for exercise) and (4) temporal dimensions of exercise (ie, use of time for exercise). Definitions, examples and possible survey questions are presented for each factor. The EXPERT model provides a comprehensive framework for understanding the multi-dimensional nature of 'time' as it relates to exercise participation. It moves beyond the simplistic notion of 'lack of time' and delves into the complexity of time allocation in the context of exercise. Empirical and cross-cultural validations of the model are warranted.

Effect of a coaching intervention to enhance physical activity and prevent falls in community-dwelling people aged 60+ years: a cluster randomised controlled trial.

OBJECTIVES: To evaluate the effect of a coaching intervention compared with control on physical activity and falls rate at 12 months in community-dwelling people aged 60+ years. DESIGN: Cluster randomised controlled trial. SETTING: Community-dwelling older people. PARTICIPANTS: 72 clusters (605 participants): 37 clusters (290 participants) randomised to the intervention and 35 (315 participants) to control. INTERVENTION: Intervention group received written information, fall risk assessment and prevention advice by a physiotherapist, activity tracker and telephone-based coaching from a physiotherapist focused on safe physical activity. Control group received written information and telephone-based dietary coaching. Both groups received up to 19 sessions of telephone coaching over 12 months. OUTCOMES: The co-primary outcomes were device-measured physical activity expressed in counts per minute at 12 months and falls rate over 12 months. Secondary outcomes included the proportion of fallers, device-measured daily steps and moderate-to-vigorous physical activity (MVPA), self-reported hours per week of physical activity, body mass index, eating habits, goal attainment, mobility-related confidence, quality of life, fear of falling, risk-taking behaviour, mood, well-being and disability. RESULTS: The mean age of participants was 74 (SD 8) years, and 70% (n=425) were women. There was no significant effect of the intervention on device-measured physical activity counts per minute (mean difference 5 counts/min/day, 95% CI -21 to 31), or falls at 12 months (0.71 falls/person/year in intervention group and 0.87 falls/person/year in control group; incidence rate ratio 0.86, 95% CI 0.65 to 1.14). The intervention had a positive significant effect on device-measured daily steps and MVPA, and self-reported hours per week of walking, well-being, quality of life, and disability. No significant between-group differences were identified in other secondary outcomes. CONCLUSION: A physical activity and fall prevention programme including fall risk assessment and prevention advice, plus telephone-based health coaching, did not lead to significant differences in physical activity counts per minute or falls rate at 12 months. However, this programme improved other physical activity measures (ie, daily steps, MVPA, hours per week of walking), overall well-being, quality of life and disability. TRIAL REGISTRATION NUMBER: ACTRN12615001190594.

Physical activity policies in Saudi Arabia and Oman: a qualitative study using stakeholder interviews.

BACKGROUND: Countries in the Middle East have some of the lowest rates of physical activity and some of the highest rates of obesity in the world. Policies can influence population levels of physical activity. However, there is a dearth of research on physical activity policies in the Gulf region. This qualitative study analyses cross-sectoral barriers and facilitators for the development, implementation and evaluation of physical activity policies in Saudi Arabia and Oman, two of the largest countries in the region. METHODS: Semi-structured interviews were conducted with 19 senior policymakers from the Ministries of Health, Education, and Sport in Saudi Arabia and Oman, and were examined using thematic analysis. RESULTS: We identified seven themes related to physical activity policies in Saudi Arabia and Oman: leadership; existing policies; physical activity programs related to policies; private sector policies; challenges; data/monitoring; and future opportunities. Both countries have a central document that guides policy-makers in promoting physical activity, and the available policies in both countries are implemented via multiple programs and initiatives to increase physical activity. Compared with Oman, in Saudi Arabia, programs from the non-profit sector, represented by community groups, play a more significant role in promoting physical activity outside the government framework. The private sector has contributed to promoting physical activity in both countries, but interviewees stated that more financial support is required. Policy limitations differ between Saudi Arabia and Oman: intersectoral collaboration in Oman is limited and mainly based on individuals' own initiative, while the health transformation in Saudi Arabia tends to slow down policy implementation in relevant areas. Physical education in Saudi Arabia and Oman is similar; however, increased support and collaboration between government agencies and the private sector for out-of-school sports academies are needed. CONCLUSIONS: This study addresses key gaps in analysing physical activity policies in Gulf Cooperation Council countries. Our study highlights the importance of increasing financial support, improving collaboration between governmental agencies and between them and the private sector and consolidating efforts to back physical activity policies and dismantle cross-sectoral barriers in Saudi Arabia and Oman. Educational institutions in Saudi Arabia and Oman play a crucial role in promoting physical activity from early childhood to young adults. Our insights assist policy-makers, public health officials and stakeholders in shaping effective physical activity-promoting policies, programs and interventions to prevent non-communicable diseases. Challenges identified in Saudi Arabia and Oman's policies will inform their future development.

Research outcomes informing the selection of public health interventions and strategies to implement them: A cross-sectional survey of Australian policy-maker and practitioner preferences.

BACKGROUND: A key role of public health policy-makers and practitioners is to ensure beneficial interventions are implemented effectively enough to yield improvements in public health. The use of evidence to guide public health decision-making to achieve this is recommended. However, few studies have examined the relative value, as reported by policy-makers and practitioners, of different broad research outcomes (that is, measures of cost, acceptability, and effectiveness). To guide the conduct of research and better inform public health policy and practice, this study aimed at describing the research outcomes that Australian policy-makers and practitioners consider important for their decision-making when selecting: (a) public health interventions; (b) strategies to support their implementation; and (c) to assess the differences in research outcome preferences between policy-makers and practitioners. METHOD: An online value-weighting survey was conducted with Australian public health policy-makers and practitioners working in the field of non-communicable disease prevention. Participants were presented with a list of research outcomes and were asked to select up to five they considered most critical to their decision-making. They then allocated 100 points across these - allocating more points to outcomes perceived as more important. Outcome lists were derived from a review and consolidation of evaluation and outcome frameworks in the fields of public health knowledge translation and implementation. We used descriptive statistics to report relative preferences overall and for policy-makers and practitioners separately. RESULTS: Of the 186 participants; 90 primarily identified as policy-makers and 96 as public health prevention practitioners. Overall, research outcomes of effectiveness, equity, feasibility, and sustainability were identified as the four most important outcomes when considering either interventions or strategies to implement them. Scores were similar for most outcomes between policy-makers and practitioners. CONCLUSION: For Australian policy-makers and practitioners working in the field of non-communicable disease prevention, outcomes related to effectiveness, equity, feasibility, and sustainability appear particularly important to their decisions about the interventions they select and the strategies they employ to implement them. The findings suggest researchers should seek to meet these information needs and prioritize the inclusion of such outcomes in their research and dissemination activities. The extent to which these outcomes are critical to informing the decision of policy-makers and practitioners working in other jurisdictions or contexts warrants further investigation.

Secular trends in risk factors for adolescent anxiety and depression symptoms: the Young-HUNT studies 1995-2019, Norway.

In recent decades, increases in mental health problems in adolescents have been reported from several large population-based surveys. This raises questions about changes in underlying risk and protective factors that can inform future intervention strategies. Population data were collected from 1995 to 2019 in three waves of the Young-HUNT studies in Norway to map decennial trends in the prevalence of established risk factors for, and their associations with, adolescent mental health problems. All adolescents (aged 13-19 years) attending lower and upper secondary school in the county of Trøndelag were invited, representing three historical cohorts of 25,245 unique adolescents. Mental health problems (HSCL-5) and established mental health risk factors were self-reported. Using a generalized linear model and linear regression, we calculated changes in relative and absolute differences between risk factors and mental health problems. Overall, the prevalence of established risk factors for mental health problems in adolescence increased markedly between 1995 and 2019, especially in girls. Prominent increases were observed for fatigue, bullying, musculoskeletal pain and migraine, loneliness, and overweight. Furthermore, with the exception of excess alcohol use and family economy, associations between each risk factor and adolescent mental health problems strengthened over the same time span in girls, but less among boys. Our findings suggest that several modifiable risk factors for poor mental health in adolescence are increasing, especially among girls, and should be targeted in community, school, and in clinical settings.

Real-world public health interventions demonstrate how research evidence informs program scale-up.

Evidence-based population interventions rely on intervention testing (efficacy and effectiveness trials) to determine what works to improve public health. We investigated the characteristics of real-world public health interventions to address obesity and explored the extent to which research testing was undertaken prior to scale-up. We identified 90 population health interventions targeting physical activity, nutrition or obesity-related health behaviours and collected publicly available information on their key characteristics and outcomes. We then assessed the differences between interventions that followed a research pathway and those that did not. Two-thirds (n = 60) of the interventions were reported as having followed a research pathway. Univariate logistic regression analysis revealed that these interventions were more likely to be health education interventions [odds ratio (OR): 5.56; 95% confidence interval (CI): 1.38-22.38], developed by research institutes (OR: 12.81; 95% CI: 3.47-47.34), delivered in North America (OR: 4.13; 95% CI: 1.61-10.62), and less likely to be owned (OR: 0.35; 95% CI: 0.14-0.88) or funded by government organizations (OR: 0.37; 95% CI: 0.14-0.95). Interventions that followed a research pathway were nearly three times more likely to have a positive impact on population health (OR: 2.72; 95% CI: 1.04-7.14). Interventions that followed a research pathway to scale-up were no more likely to be sustained longer than those that did not. Differences exist across real-world interventions between those that follow a research pathway to population-scale delivery and those that do not, regarding organizational and environmental context. A key benefit of research pathway to scale-up is the impact it has on health outcomes.

Coming back for more: individual participation patterns in the physical activity initiative parkrun in Australia.

Most physical activity (PA) maintenance research has concerned adherence to small-scale interventions or infrequent observation in cohort studies. We analysed individual attendance trajectories and their drivers in a large-scale 'real-world' community-based weekly PA event (parkrun) cohort in Australia. Data were weekly attendance (walking/running) of 223 224 unique parkrun participants over their first 3 years of participation. An unweighted moving average of participation in the preceding 12 weeks from the 12th week since the first participation to the 156th week was calculated and submitted to a cluster analysis of attendance patterns. Association of individual- (demographic, personal parkrun performance) and site-level (aggregated site-level participant characteristics and area-level measures) covariates with cluster membership was estimated with multinomial logistic regression models. We identified four groups: Few-Timers (76.4%), Decliners (12.4%), Low Maintainers (6.9%) and High Maintainers (4.3%). In the first 12 weeks, attendances averaged 2, 6, 5 and 7.5 times for each cluster, respectively, and by 52 weeks, they were 0.17, 1.9, 3.4 and 7.6 times, respectively. Continuing participation (vs Few-Timers) was strongly associated with faster personal finish times, but slower performance at the site level. Higher running club/group membership at a participant's parkrun predicted higher odds of being a High Maintainer. Our identification of a Low Maintainer group shows a community-based initiative may sustain interest, despite not requiring continuous or near-continuous attendance. Where someone is placed 'in the pack' locally and degree of identification with others in the group may be bidirectionally associated with attendance, underscoring the importance of considering social environment of PA maintenance.

A cross-sectional study of Australian teachers' health: are work-related factors associated with lifestyle behaviours?

Teacher's lifestyle behaviours are important because they lead to positive health outcomes for teachers themselves and because teachers model behaviour to their students. This cross-sectional study examined the lifestyle behaviours of a large sample of teachers in New South Wales (NSW), Australia and assessed the association between work-related factors and lifestyle behaviours. From February to October 2021, data were collected on the lifestyle behaviours, work-related factors and socio-demographics of primary and secondary school teachers in NSW, via an online survey. Associations between individual work-related factors and lifestyle behaviours were modelled using logistic regression and adjusted for sex, age, number of children and geographic location. Most of our survey sample (n = 1136) were women (75%) and 53% were reported as having overweight or obesity. Only 23% of teachers met the recommended physical activity guidelines, 39% met fruit intake guidelines, 9% met vegetable intake guidelines and 58% met healthy sleep guidelines. Most teachers (78%) met the recommendation of sugar-sweetened beverage consumption, 89% were not current smokers, but only 46% met the recommended alcohol consumption guidelines. Hours worked, teaching load, school sector and teacher role were associated with one or more lifestyle behaviours after adjusting for the demographic variables. This study highlights the need for additional support to improve the health-related behaviours of teachers in NSW. Policymakers should recognize the negative impact of high workloads on teachers' health-related behaviours, increasing their risk of chronic disease.

The feasibility, acceptability and potential efficacy of a parental text message and social media program on children's vegetable consumption and movement behaviours: A pilot randomised controlled trial.

ISSUE ADDRESSED: Australian children fall short of meeting the dietary, physical activity and sedentary behaviour guidelines. This study aimed to test the feasibility, acceptability and potential efficacy of a parental text message and social media program on, primarily, their school-aged children's vegetable consumption and movement behaviours, and, secondarily, their own. METHODS: Between August and November 2022, we conducted a two-armed randomised controlled trial with 242 parents/caregivers of primary school-aged children in New South Wales. The 'Adventure & Veg' intervention ran for 8 weeks, promoting vegetable eating behaviours, local outdoor physical activity opportunities and ideas for reducing screen time. Feasibility and acceptability were assessed via recruitment and retention data, intervention metrics and self-reported participant data. Vegetable intake and movement behaviour data were collected via online-surveys and effect sizes were examined. RESULTS: Most participants reported that they enjoyed receiving the text messages (88%) and the delivery frequency was acceptable (94%). Limitations to Facebook as a delivery platform were reported. The majority of participants used the text messages to influence the vegetable eating (65%) and movement (77%) behaviours of their child. Significant effects were observed among intervention child participants compared with control for mean daily vegetable consumption (0.45 serves, CI: .19; .71, p = .001, d = .5); weekly vegetable variety (1.85, CI: .25; 3.45, p < .001, d = .6); and weekly physical activity variety (.64 CI: .09; 1.19, p = .022, d = .3). Parents in the intervention group increased their daily vegetable intake by .44 serves (CI: .11; .78, p = .01, d = .4). CONCLUSIONS: A parental text message and social media program has potential to support children's vegetable intake and movement behaviours. Further research is required to explore different online delivery methods to promote local outdoor activity options. SO WHAT?: The Adventure & Veg program holds promise as a stand-alone health promotion intervention or as a useful adjunct to current family or school-based healthy lifestyle programs.

Evaluation of the 'A walk can work wonders' mass media campaign in South Australia.

ISSUE ADDRESSED: Few population-wide efforts have targeted physical activity in Australia. Mass media campaigns are used to promote physical activity and walking, and World Health Organisation recommends their linkage to broader cross-government initiatives. This project evaluates a South Australian (SA) walking mass media campaign linked to the overall SA Walking Strategy. METHODS: Between January and June 2022, Wellbeing SA (a SA government agency) conducted two waves of a mass media campaign, 'A walk can work wonders', to promote walking. The campaign was part of the SA Walking Strategy, targeting the goal to change the 'community culture towards recognising walking' as convenient, affordable and health-promoting. Evaluation was formative (pre-campaign), process (campaign implementation and delivery) and impact. Formative evaluation comprised concept and tagline testing with adult SAs to develop the campaign messages and theme. Process evaluation was comprised of media monitoring of social media, mainstream media and other media monitoring metrics. The process evaluation was dominated by social media marketing in Wave 1, with substantially more paid TV media and radio in Wave 2. The impact evaluation comprised two independent sample surveys of adult SAs (n = 800 each) following each wave of the campaign. Measures included generic and prompted campaign recall and attitudes to physical activity. An independent South Australian Population Health Survey (SAPHS) tracked walking and physical activity behaviours from 2021 to the end of 2022. RESULTS: Process evaluation showed intensive social media usage in Wave 1, and through increased paid television and radio in Wave 2. Generic recall of any walking message (23.9%) and prompted recall of the specific campaign message (27.8%) reached most socio-demographic groups, especially those with chronic health problems. Increases in intention to increase activity and increased self-reported activity were seen between the campaign Wave 1 and Wave 2 notable as the Wave 2 increase followed substantial television advertising. The SAPHS data showed increased population walking following the campaign waves, compared to the same period in 2021. CONCLUSIONS: Detailed and structured evaluation of a comprehensive mass media campaign showed good reach, and population changes in intentions and walking behaviour amongst SAs. SO WHAT?: It is likely that comprehensive approaches are needed to support mass media campaigns and amplify their effects. Serial, sustained campaigns are needed to monitor ongoing effects.

Active school commuting in adolescents from 28 countries across Africa, the Americas, and Asia: a temporal trends study.

BACKGROUND: Evidence examining trends in active school commuting among adolescents are mainly single-country studies, and principally focused on high-income countries. Thus, the present study aims to examine temporal trends in adolescents' active school commuting and to examine if there are differences in such trends by sex. We used nationally representative samples of 28 countries, which were predominantly low- and middle-income countries (LMICs), covering 5 different WHO regions. METHODS: Data from the Global School-based Student Health Survey 2004-2017 were analyzed in 177,616 adolescents [mean (SD) age: 13.7 (1.0) years; 50.7% girls]. Active school commuting was self-reported (frequency of walking or riding a bike to and from school in the past 7 days). The prevalence and 95%CI of active school commuting (i.e., ≥ 3 days/week) was calculated for the overall sample and by sex for each survey. Crude linear trends in active school commuting were assessed by linear regression models. Interaction analyses were conducted to examine differing trends among boys and girls. RESULTS: Trends in active school commuting were heterogeneous across countries, with results showing stable patterns for the majority (16/28), decreasing trends for some (7/28) and increasing trends over time for a few (5/28). The majority of countries showed no differences in active school commuting trends between girls and boys. CONCLUSIONS: The quantification of changes in adolescents' active school commuting over time, together with a deeper understanding of local determinants for such behaviors will provide valuable evidence to inform the development of tailored and context-specific actions.

Evaluating the scaling up of an effective implementation intervention (PACE) to increase the delivery of a mandatory physical activity policy in primary schools.

BACKGROUND: Physically Active Children in Education (PACE) is an effective implementation intervention for increasing the number of minutes classroom teachers schedule physical activity each week. To date, evaluations of PACE have included a smaller number of schools from only one region in New South Wales Australia. If PACE is to have population-wide benefits we must be able to deliver this support to a larger number of schools across multiple regions. This study aimed to evaluate the scale-up of PACE. METHODS: An uncontrolled before and after study, with 100 schools from three regions was conducted. Participating schools received PACE for approximately 12 months. We assessed the following outcomes: delivery of the evidence-based intervention (EBI) (i.e. minutes of physical activity scheduled by classroom teachers per week); delivery of the implementation strategies (i.e. reach, dose delivered, adherence and indicators of sustainability); and key determinants of implementation (i.e. acceptability of strategies and cost). Data were collected via project officer records, and principal and teacher surveys. Linear mixed models were used to assess EBI delivery by evaluating the difference in the mean minutes teachers scheduled physical activity per week from baseline to follow-up. Descriptive data were used to assess delivery of the implementation strategies and their perceived acceptability (i.e. PACE). A prospective, trial-based economic evaluation was used to assess cost. RESULTS: Delivery of the EBI was successful: teachers increas their average minutes of total physical activity scheduled across the school week by 26.8 min (95% CI: 21.2, 32.4, p < 0.001) after receiving PACE. Indicators for delivery of implementation strategies were high: 90% of consenting schools received all strategies and components (reach); 100% of strategies were delivered by the provider (dose); >50% of schools adhered to the majority of strategies (11 of the 14 components); and acceptability was > 50% agreement for all strategies. The incremental cost per additional minute of physical activity scheduled per week was $27 per school (Uncertainty Interval $24, $31). CONCLUSIONS: PACE can be successfully delivered across multiple regions and to a large number of schools. Given the ongoing and scalable benefits of PACE, it is important that we continue to extend and improve this program while considering ways to reduce the associated cost.

Cost-effectiveness of physical activity programs and services for older adults: a scoping review.

BACKGROUND: Evidence supporting physical activity for older adults is strongly positive. Implementation and scale-up of these interventions need to consider the value for money. This scoping review aimed to assess the volume of (i) systematic review evidence regarding economic evaluations of physical activity interventions, and (ii) of cost utility analysis (CUA) studies (trial- or model-based) of physical activity interventions for older people. METHODS: We searched five databases (January 2010 to February 2022) for systematic reviews of economic evaluations, and two databases (1976 to February 2022) for CUA studies of physical activity interventions for any population of people aged 60+ years. RESULTS: We found 12 potential reviews, two of which were eligible for inclusion. The remaining 10 reviews included eligible individual studies that were included in this review. All individual studies from the 12 reviews (n = 37) investigated the cost-effectiveness of structured exercise and most showed the intervention was more costly but more effective than no intervention. We identified 27 CUA studies: two investigated a physical activity promotion program and the remainder investigated structured exercise. Most interventions (86%) were more costly but more effective, and the remaining were cost-saving compared to no intervention. CONCLUSIONS: There is a scarcity of reviews investigating the value for money of physical activity interventions for older adults. Most studies investigated structured exercise. Physical activity interventions were generally more effective than no intervention but more costly. As such an intervention could be cost-effective and therefore worthy of wider implementation, but there is a need for more frequent economic evaluation in this field.

Mapping and analysis of laws influencing built environments for walking and cycling in Australia.

BACKGROUND: Physical inactivity is a significant public health concern, with limited signs of improvement despite a global commitment to achieving the World Health Organization's target of 15% reduction by 2030. A systems approach is required to tackle this issue, involving the creation of environments that are conducive to physical activity. Laws represent an important tool for regulating the built environment for physical activity, are a mechanism for systems change, and have the capacity to reorient the goals and rules of a system. However, they are understudied and potentially underutilised for physical activity. Scientific legal mapping is a first step towards understanding how laws could impact the built environment to facilitate greater population physical activity. METHOD: We conducted a legal assessment of state and territory laws in Australia, to systematically characterise how they address built environment considerations with specific relevance to walking and cycling. An interdisciplinary team of researchers with public health, law and urban planning expertise was formed to complete the multistage process. Key steps included a systematic search of laws using a combination of original legal research, consultation of secondary sources, and review and verification by an urban planning expert; development of a coding scheme; and completion of coding and quality control procedures. RESULTS: Most jurisdictions in Australia do not currently embed objectives in primary legislation that would promote physical activity and support an integrated approach to land use and transport planning that encourages active and sustainable lifestyles. Only two jurisdictions addressed the large majority of evidence-based standards that promote active living. Of the standards addressed in law, few fully met evidence-based recommendations. While most jurisdictions legislated responsibility for enforcement of planning law, few legislated obligations for monitoring implementation. CONCLUSION: Increasing physical activity is a systems issue, requiring actions across multiple sectors. An in-depth examination of the legal environment is an important step towards understanding and influencing the existing physical activity system, why it may not be generating desired outcomes, and potential opportunities for improvement. Our findings reveal opportunities where laws could be strengthened to promote more active environments. Updating this dataset periodically will generate longitudinal data that could be used to evaluate the impact of these laws on the built environment and physical activity behaviours.

Impact of the first year of the "This girl can" physical activity and sport mass media campaign in Australia.

INTRODUCTION: Addressing gender inequalities in physical activity is an important public health goal. A major campaign, 'This Girl Can' (TGC) was conducted by Sport England from 2015, and TGC was licenced in 2018 by VicHealth in Australia for development and use in a 3-year mass media campaign. The campaign was adapted through formative testing to Australian conditions and implemented within the state of Victoria. The purpose of this evaluation was to assess the initial population impact of the first wave of the TGC-Victoria. METHODS: We assessed campaign impact using serial population surveys, with the target population being women living in Victoria who were not meeting the current physical activity guidelines. Two surveys were carried out before the campaign (October 2017 and March 2018), and the post-campaign survey immediately following the first wave of TGC-Victoria mass media (May 2018). Analyses were primarily on the cohort sample of 818 low-active women followed across all three surveys. We measured campaign effects using campaign awareness and recall, and self-report measures of physical activity behaviour and perceptions of being judged. Changes in perceptions of being judged and in reported physical activity were assessed in relation to campaign awareness over time. RESULTS: Overall, TGC-Victoria campaign recall increased from 11.2% pre-campaign to 31.9% post-campaign, with campaign awareness more likely among younger and more educated women. There was a slight increase of 0.19 days in weekly physical activity following the campaign. Feeling that being judged was a barrier to physical activity declined at follow up, as did the single item perceptions of feeling judged (P < 0.01). Feeling embarrassed decreased, and self-determination increased, but exercise relevance, theory of planned behaviour and self-efficacy scores did not change. CONCLUSIONS: The initial wave of the TGC-Victoria mass media campaign showed reasonably high levels of community awareness and encouraging decreases in women feeling judged whilst being active, but these did not yet translate into overall physical activity gains. Further waves of the TGC-V campaign are in progress to reinforce these changes and further influence the perception of being judged among low-active Victorian women.

A cluster randomised controlled trial to assess the effectiveness of a multi-strategy sustainability intervention on teachers' sustained implementation of classroom physical activity breaks (energisers): study protocol.

BACKGROUND: Governments internationally have invested hugely in the implementation and scale-up of school-based physical activity interventions, but have little evidence of how to best sustain these interventions once active implementation support ceases. This study will assess the effectiveness of a multi-strategy sustainability intervention on classroom teachers' sustainment of energisers (short 3-5 min physical activity breaks during class-time) scheduled across the school day from baseline to 12 and 24-month follow-up. METHODS: A cluster randomised controlled trial will be conducted in 50 primary schools within the Hunter New England, Illawarra Shoalhaven, Murrumbidgee and Northern New South Wales (NSW) Local Health Districts of NSW Australia. Schools will be randomly allocated to receive either usual support or the multi-strategy sustainability intervention that includes: centralised technical assistance from a trained project officer; formal commitment and mandated change obtained from school principals; training in-school champions; reminders for teachers; educational materials provided to teachers; capturing and sharing local knowledge; and engagement of parents, carers and the wider school community. The primary trial outcome will be measured via a teacher logbook to determine the between-group difference in the change in mean minutes of energisers scheduled across the school day at 12 and 24-month follow-up compared to baseline. Analyses will be performed using an intention to treat framework. Linear mixed models will be used to assess intervention effects on the primary outcome at both follow-up periods. DISCUSSION: This study will be one of the first randomised controlled trials to examine the impact of a multi-strategy sustainability intervention to support schools' sustainment of a physical activity intervention. The proposed research will generate new evidence needed for the partnering organisations to protect their considerable investments to date in physical activity promotion in this setting and will provide seminal evidence for the field globally. TRIAL REGISTRATION: ACTRN12620000372987 version 1 registered 17th March 2020. Version 3 (current version) updated 4th August 2023.