Increasing participation in resistance training using outdoor gyms: A study protocol for the ecofit type III hybrid effectiveness implementation trial.

Background: In this paper we outline the protocol for an implementation-effectiveness trial of ecofit, a multi-component mHealth intervention aimed at increasing participation in resistance and aerobic physical activity using the outdoor built environment (i.e., outdoor gyms) and social support. We have previously demonstrated the efficacy and effectiveness of the ecofit program in insufficiently active people with (or at risk of) type 2 diabetes and community-dwelling adults, respectively. The objective of this trial is to compare the effects of two implementation support models (i.e., 'Low' versus 'Moderate') on the reach (primary outcome), uptake, dose received, impact and fidelity of the ecofit program. Research design and methods: This hybrid type III implementation-effectiveness study will be evaluated using a two-arm randomized controlled trial, including 16 outdoor gym locations in two large regional municipalities in New South Wales, Australia. Outdoor gym locations will be pair-matched, based on an established socio-economic status consensus-based index (high versus low), and randomized to the 'Low' (i.e., ecofit app only) or 'Moderate' (i.e., ecofit app, face-to-face workout sessions and QR codes) implementation support group. The primary outcome of 'reach' will be measured using a modified version of the 'System for Observing Play and Recreation in Communities', capturing outdoor gym use amongst community members. Conclusion: This implementation-effectiveness trial will evaluate the effects of different levels of implementation support on participation in resistance-focused physical activity using mHealth and outdoor gyms across the broader community. This may guide widespread dissemination for councils (municipalities) nation-wide wanting to promote outdoor gym usage. Trial registry: This trial was preregistered with the Australian and New Zealand Clinical Trial Registry (ACTRN12624000261516).

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.

Health behaviour and wellbeing trends among Australian adults before and during the COVID-19 pandemic (2017-2022): An interrupted time-series analysis.

Objective: To explore population-level trends in health behaviours and wellbeing indicators from before (2017-2019) to during (2020-2022) the COVID-19 pandemic in Australia. Methods: Using cross-sectional data from New South Wales Adult Population Health Surveys (2017-2022, n = 73,680 responses), we calculated weighted prevalence estimates and interrupted time-series logit models to investigate trends in health behavioural risk factors (vegetable and fruit intake, physical activity, alcohol consumption, smoking, e-cigarette use), Body Mass Index (BMI) (overweight and obesity), and wellbeing indicators (psychological distress, self-rated health) among adults aged ≥ 16 years before and during the pandemic. Results: From 2017 to 2022, the behavioural risk factors and BMI trends were mostly unchanged. Similarly, wellbeing indicator trends showed only minor variations according to age. The interrupted time-series models found marked changes from before to during the COVID-19 pandemic for e-cigarette use and self-rated health. E-cigarette use showed an overall increasing trend, with significant increases from 2017 to 2022 (OR 8.25, 95 %CI 6.10-11.16). Poor self-rated health showed a stable trend before COVID-19, but decreased in 2020 (OR 0.68, 95 %CI 0.58-0.80) and 2021 (OR 0.70, 95 %CI 0.60-0.81), returning to pre-COVID levels in 2022 (OR 1.23, 95 %CI 1.07-1.41). During the pandemic (2020-2022), there were few statistically significant observed changes in prevalence trends according to SES indicators. Conclusion: Among Australian adults, relatively small population-level impacts of the COVID-19 pandemic on health behaviours and wellbeing trends were observed. Continued surveillance and sub-group analyses are essential for investigating potential time-lagged effects and regional or sociodemographic differences in health behaviours and wellbeing.

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.

A Holistic Way to Understand the Determinants of Physical Activity in Urban New South Wales, Australia: A Codesigned Systems Mapping Project.

BACKGROUND: To meet the World Health Organization goal of reducing physical inactivity by 15% by 2030, a multisectoral system approach is urgently needed to promote physical activity (PA). We report the process of and findings from a codesigned systems mapping project to present determinants of PA in the context of urban New South Wales, Australia. METHODS: A participatory conceptual mapping workshop was held in May 2023 with 19 participants working in education, transportation, urban planning, community, health, and sport and recreation. Initial maps were developed and refined using online feedback from the participants. Interviews were conducted with 10 additional policymakers from relevant sectors to further refine the maps. RESULTS: Two systems maps were cocreated, identifying over 100 variables influencing PA and their interconnections. Five settings emerged from the adults' map-social and community, policy, built environment and transportation, health care, and workplace-and 4 for the young people's map-family, school, transportation, and community and environment. The maps share similarities, such as regarding potential drivers within the transportation, community, and built environment sectors; however, the young people's map has a specific focus on the school setting and the adults' map on workplace and health care settings. Interviews with policymakers provided further unique insights into understanding and intervening in the PA system. CONCLUSIONS: This codesigned participatory systems mapping process, supplemented by stakeholder interviews, provided a unique opportunity to bring together stakeholders across sectors to understand the complexity within the PA system and begin to identify leverage points for tackling physical inactivity in New South Wales.

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.

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 Systematic Review of the Completion of Cardiac Rehabilitation Programs for Adults Aged 18-50 Years.

OBJECTIVE: To perform a systematic review of completion rates of cardiac rehabilitation (CR) in adults aged 18 to 50 yr and describe how core components were reported, measured, and tailored to those under 50 yr. REVIEW METHODS: Database search of MEDLINE, Embase, Emcare, PsycINFO, CINAHL, Scopus, and the Cochrane Library based on keywords, including articles from January 1, 1990. The last search was performed on April 21, 2023. Following the Preferred Reporting Items for Systematic Review and Meta-Analyses protocol, eligible articles contained adults (aged between 18 and 50 yr) who had participated in a CR program. SUMMARY: Out of the articles screened (n = 24,517), 33 reports across 31 independent studies were considered eligible (n = 1958 patients aged ≤50 yr). Cardiac rehabilitation completion rates ranged from 64% to 100%; however, only 5 studies presented a completion rate definition. The length of the program ranged from 7 d to 20 wk, with most (65%) ranging between 6 and 12 wk. While the studies included in this systematic review indicated relatively high rates of completing CR, these are likely to overrepresent the true completion rates as few definitions were provided that could be compared to completion rates used in clinical practice. This systematic review also found that all interventions prescribed exercise (eg, aerobic alone or combined with resistance training or yoga) but had very limited inclusion or description of other integral components of CR (eg, initial assessment and smoking cessation) or how they were assessed and individualized to meet the needs of younger attendees.

Are they the same? Disentangling the concepts of implementation science research and population scale-up.

A new discipline, implementation science, has emerged in recent years. This has resulted in confusion between what 'implementation science' is and how it differs from real-world scale-up of health interventions. While there is considerable overlap, in this perspective, we seek to highlight some of the differences between these two concepts in relation to their origin, drivers, research methods and implications for population impact and practice. We recognise that implementation science generates new information on optimal methods and strategies to facilitate the uptake of evidence-based practices. This new knowledge can be used as part of any scaling-up endeavour. However, real-world scale-up is influenced to a much greater extent by political and strategic needs and key actors and generally requires the support of governments or large agencies that can fund population-level scale-up. Furthermore, scale-up often occurs in the absence of any evidence of effectiveness. Therefore, while implementation science and scale-up both ultimately aim to facilitate the uptake of interventions to improve population health, their immediate intentions differ, and these distinctions are worth highlighting for policymakers and researchers.

A Cross-Sectional Nationwide Study of Australians' Health: Are There Differences in Health-Related Behaviors and Psychological Distress Between Teachers and Other Occupations?

BACKGROUND: Teachers' health behaviors and mental well-being are important for their chronic disease risk and reducing burnout. This study investigates the health-related behaviors and psychological distress of Australian teachers compared with other occupations. METHODS: Data from the nationally representative Australian National Health Survey (NHS) were analyzed. Employed adults (20-64 years) from 2014/2015 (n = 8455), 2017/2018 (n = 9130), and 2020/2021 (n = 5753) survey waves were included. Logistic regression, adjusted for demographics, compared health-related behaviors (eg, physical activity, diet), and psychological distress among teachers, nonteacher professionals (NTPs; eg, accountants, doctors), and other general occupations (eg, laborers, beauticians). RESULTS: After adjusting for demographics and survey wave, teachers had similar odds as NTPs for meeting physical activity (OR: 1.12, 95% CI: 0.90-1.41), vegetable intake (OR: 0.72, 95% CI: 0.52-1.00), and alcohol consumption (OR: 1.01, 95% CI: 0.83-1.22) guidelines. However, teachers exhibited higher psychological distress (OR: 1.35, 95% CI: 1.01-1.75). Elevated psychological distress levels were observed in all groups in 2020/2021, compared with pre-COVID-19. CONCLUSIONS: Compared with NTPs, teachers showed similar or better health-related behaviors, although teachers had higher levels of psychological distress. School executives and policymakers need to implement sustainable measures to prioritise teachers' mental wellbeing.

Learning Health System to rapidly improve the implementation of a school physical activity policy.

BACKGROUND: Learning Health Systems (LHS) - characterised by cycles of evidence generation and application - are increasingly recognised for their potential to improve public health interventions and optimise health impacts; however there is little evidence of their application in the context of public health practice. Here, we describe how an Australian public health unit applied a LHS approach to successfully improve a model of support for implementation of a school-based physical activity policy. METHODS: This body of work was undertaken in the context of a strong research-practice partnership. Core LHS capabilities included: i) partnerships and stakeholder engagement; ii) workforce development and learning health communities; iii) multi-disciplinary scientific expertise; iv) practice data collection and management system; v) evidence surveillance and synthesis; and vi) governance and organisational processes of decision making. Three cycles of data generation and application were used. Within each cycle, randomised controlled trials conducted in NSW primary schools were used to generate data on the support model's effectiveness for improving schools' implementation of a government physical activity policy, its delivery costs, and process measures such as adoption and acceptability. Each type of data were analysed independently, synthesised, and then presented to a multi-disciplinary team of researchers and practitioners, in consult with stakeholders, leading to collaborative decisions for incremental improvements to the support model. RESULTS: Cycle 1 tested the first version of the support model (composed of five implementation strategies targeting identified barriers of policy implementation) and showed the model's feasibility and efficacy for improving schools' policy implementation. Data-informed changes were made to enhance impact, including the addition of three implementation strategies to address outstanding barriers. Cycle 2 (now, testing a package of eight implementation strategies) established the model's effectiveness and cost-effectiveness for improving school's policy implementation. Data-informed changes were made to reduce delivery costs, specifically adapting the costliest strategies to reduce in-person contact from external support personnel. Cycle 3 showed that the adaptations minimised the relative cost of delivery without adversely impacting on the effect. CONCLUSIONS: Through this process, we identified an effective, cost-effective, acceptable and scalable policy implementation support model for service delivery. This provides important information to inform or support LHS approaches for other agencies seeking to optimise the health impact of evidence-based interventions.

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.

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 ).

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.

More People, More Active, More Often for Heart Health - Taking Action on Physical Activity.

Physical inactivity is a leading contributor to increased cardiovascular morbidity and mortality. Almost 500 million new cases of preventable noncommunicable diseases (NCDs) will occur globally between 2020 and 2030 due to physical inactivity, costing just over US$300 billion, or around US$ 27 billion annually (WHO 2022). Active adults can achieve a reduction of up to 35% in risk of death from cardiovascular disease. Physical activity also helps in moderating cardiovascular disease risk factors such as high blood pressure, unhealthy weight and type 2 diabetes. For people with cardiovascular disease, hypertension, type 2 diabetes and many cancers, physical activity is an established and evidence-based part of treatment and management. For children and young people, physical activity affords important health benefits. Physical activity can also achieve important cross-sector goals. Increased walking and cycling can reduce journeys by vehicles, air pollution, and traffic congestion and contribute to increased safety and liveability in cities.

The association of diet quality and physical activity with cardiovascular disease and mortality in 85,545 older Australians: A longitudinal study.

BACKGROUND: A quality diet and an active lifestyle are both important cornerstones of cardiovascular disease (CVD) prevention. However, despite their interlinked effects on metabolic health, the 2 behaviors are rarely considered jointly, particularly within the context of CVD prevention. We examined the independent, interactive, and joint associations of diet and physical activity with CVD hospitalization, CVD mortality, and all-cause mortality. METHODS: CVD-free Australian participants aged 45-74 years (n = 85,545) reported physical activity, diet, sociodemographic, and lifestyle characteristics at baseline (2006-2009) and follow-up (2012-2015), and data were linked to hospitalization and death registries (03/31/2019 for CVD hospitalization and all-cause mortality and 12/08/2017 for CVD mortality). Diet quality was categorized as low, medium, and high based on meeting dietary recommendations. Physical activity was operationalized as (a) total moderate-to-vigorous physical activity (MVPA) as per guidelines, and (b) the composition of MVPA as the ratio of vigorous-intensity physical activity (VPA) to total MVPA. We used a left-truncated cause-specific Cox proportional hazards model using time-varying covariates. RESULTS: During a median of 10.7 years of follow-up, 6576 participants were admitted to the hospital for CVD and 6581 died from all causes (876 from CVD during 9.3 years). A high-quality diet was associated with a 17% lower risk of all-cause mortality than a low-quality diet, and the highest MVPA category (compared with the lowest) was associated with a 44% and 48% lower risk of CVD and all-cause mortality, respectively. Multiplicative interactions between diet and physical activity were non-significant. For all outcomes, the lowest risk combinations involved a high-quality diet and the highest MVPA categories. Accounting for total MVPA, some VPA was associated with further risk reduction of CVD hospitalization and all-cause mortality. CONCLUSION: For CVD prevention and longevity, one should adhere to both a healthy diet and an active lifestyle and incorporate some VPA when possible.

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.

Bystander cardiopulmonary resuscitation differences by sex - The role of arrest recognition.

PURPOSE: To assess whether bystander cardiopulmonary resuscitation (CPR) differed by patient sex among bystander-witnessed out-of-hospital cardiac arrests (OHCA). METHODS: This study is a retrospective analysis of paramedic-attended OHCA in New South Wales (NSW) between January 2017 to December 2019 (restricted to bystander-witnessed cases). Exclusions included OHCA in aged care, medical facilities, with advance care directives, from non-medical causes. Multivariate logistic regression examined the association of patient sex with bystander CPR. Secondary outcomes were OHCA recognition, bystander AED application, initial shockable rhythm, and survival outcomes. RESULTS: Of 4,491cases, females were less likely to receive bystander CPR in private residential (Adjusted Odds ratio [AOR]: 0.82, 95%CI: 0.70-0.95) and public locations (AOR: 0.58, 95%CI:0.39-0.88). OHCA recognition during the emergency call was lower for females arresting in public locations (84.6% vs 91.6%, p = 0.002) and this partially explained the association of sex with bystander CPR (∼44%). This difference in recognition was not observed in private residential locations (p = 0.2). Bystander AED use was lower for females (4.8% vs 9.6%, p < 0.001); however, after adjustment for location and other covariates, this relationship was no longer significant (AOR: 0.83, 95%CI: 0.60-1.12). Females were less likely to be in an initial shockable rhythm (AOR: 0.52, 95%CI: 0.44-0.61), but more likely to survive the event (AOR: 1.34, 95%CI: 1.15-1.56). There was no sex difference in survival to hospital discharge (AOR: 0.96, 95%CI: 0.77-1.19). CONCLUSION: OHCA recognition and bystander CPR differ by patient sex in NSW. Research is needed to understand why this difference occurs and to raise public awareness of this issue.