Findings from a pragmatic cluster randomised controlled feasibility trial of a music and dance programme for community dwelling older adults.

INTRODUCTION: Functional decline, chronic illness, reduced quality of life and increased healthcare utilisation are common in older adults. Evidence suggests music and dance can support healthy ageing in older adults. This study explored the feasibility, potential for effect and cost effectiveness of the Music and Movement for Health (MMH) programme among community-dwelling older adults using a pragmatic cluster-randomised, controlled feasibility trial design. METHODS: Community-dwelling adults aged 65 years or older were recruited to seven clusters in the Mid-West region of Ireland. Clusters were block randomised to either the MMH intervention or control. Primary feasibility outcomes included recruitment, retention, adherence, fidelity, and safety. Secondary outcomes measured physical activity, physical and cognitive performance, and psychosocial well-being, along with healthcare utilisation were assessed at baseline and after 12 weeks. RESULTS: The study successfully met feasibility targets, with recruitment (n = 100), retention (91 %), adherence (71 %), data completeness (92 %) and intervention fidelity (21 out of 24) all meeting predetermined criteria. Both groups exhibited an increase in self-reported physical activity and improved physical function. Participants in the intervention group scored consistently better in psychosocial measures compared to the control group at follow-up. The health economic analysis confirmed the feasibility of the methodology employed and points to the potential cost-effectiveness of the MMH relative to the control or no organised programme. DISCUSSION AND IMPLICATIONS: The MMH intervention and study design were found to be feasible and acceptable with important findings to inform future evaluation of the clinical and cost-effectiveness of a definitive randomised controlled trial.

Physical activity for depression among the chronically Ill: Results from older diabetics in the Irish longitudinal study on ageing.

Among chronically-ill older adults, the benefits of moderate-to-vigorous physical activity (MVPA) are established. Comorbid depressive symptoms and Major Depression are prevalent among the chronically-ill, but how different doses of MVPA may protect against depression remains understudied. Thus, using 10 years of data from The Irish Longitudinal Study on Ageing, we quantified longitudinal associations between MVPA doses and depressive symptoms and Major Depression among chronically-ill older adults living with type 2 diabetes (T2DM). Continuous MVPA (MET.min.week-1), three dose and five dose MVPA categories were examined. Depressive symptoms and Major Depression were measured using the center for Epidemiological Studies Depression and the Composite International Diagnostic Interview for Major Depressive Episode. Negative binomial regression and logistic models, adjusted for covariates, quantified associations across time. Among the 2,262 participants, those adhering to the WHO guidelines of 600-<1,200 MET.min.week-1 had 28% lower odds of Major Depression compared to those not achieving the guidelines (OR: 0.72; 95%CI: 0.53-0.98). For depressive symptoms, a higher MVPA dose was required with a 13% (IRR: 0.87; 95%CI: 0.82-0.93) lower rate of symptoms among those exceeding recommendations (1200-<2,400 MET.min.week-1). Interventions should focus on enhancing achievability of and compliance with these MVPA doses among the chronically-ill, including T2DM, to protect against depression.

Assessing the implementation of physical activity-promoting public policies in the Republic of Ireland: a study using the Physical Activity Environment Policy Index (PA-EPI).

BACKGROUND: Government policy can promote physical activity (PA) as part of a multilevel systems-based approach. The Physical Activity Environment Policy Index (PA-EPI) is a monitoring framework which assesses the implementation of government policy by drawing on the experience of national stakeholders. This study is the first to assess the extent of policy implementation in the Republic of Ireland using the PA-EPI tool, and to provide information on how policy implementation can be improved, with the intention of maximizing its impact on population levels of PA. METHODS: This mixed-methods research study, comprising eight steps, was carried out in 2022. Information documenting the evidence for implementation of PA policy, across all 45 PA-EPI indicators, was collected via systematic document analysis, and validated via survey and interview with government officials. Thirty-two nongovernment stakeholders rated this evidence on a five-point Likert scale. Aggregated scores were reviewed by stakeholders who collectively identified and prioritized critical implementation gaps. RESULTS: Of the 45 PA-EPI indicators, one received an implementation rating of 'none/very little', 25 received a rating of 'low' and 19 received a 'medium' rating. No indicator was rated as fully implemented. The indicators that received the highest level of implementation related to sustained mass media campaigns promoting PA and PA monitoring. Ten priority recommendations were developed. CONCLUSIONS: This study reveals substantial implementation gaps for PA policy in the Republic of Ireland. It provides recommendations for policy action to address these gaps. In time, studies utilizing the PA-EPI will enable cross-country comparison and benchmarking of PA policy implementation, incentivizing improved PA policy creation and implementation.

Factors related to the implementation and scale-up of physical activity interventions in Ireland: a qualitative study with policy makers, funders, researchers and practitioners.

BACKGROUND: Current literature reports a gap between development of effective interventions to promote physical activity and the systematic uptake into real-world settings. Factors relating to implementation and scale-up of physical activity interventions have been examined, however the perspectives of multiple stakeholders from different domains are not well researched. The purpose of this study was to examine the perceived factors related to physical activity intervention implementation and scale-up in different domains from different stakeholders on the island of Ireland. METHODS: Practitioners, researchers, funders and policy makers in Ireland were invited to take part in a semi-structured interview exploring factors related to the implementation and scale-up of eleven different physical activity interventions. A thematic analysis was conducted to identify factors related to the implementation and scale-up of the included interventions. The data collection and analysis were guided by the Consolidated Framework for Implementation Research. RESULTS: Thirty-eight participants took part in the interviews which identified factors related to 1) intervention planning and practical considerations; 2) organisational structures, staffing and resources related to delivery; 3) reflection, evaluation and updating of the intervention; and 4) practical consideration related to scale-up. Furthermore, participants referred to the ongoing commitment, engagement, and support needed throughout the implementation process. CONCLUSIONS: Future research and practice needs to consider how different factors are experienced at different implementation stages and by the different stakeholder groups involved. The findings highlight multiple inter-related factors that influence the implementation and scale-up of physical activity interventions, but also identifies many strategies that can be utilised to aid future successes.

Associations between screen-time, physical activity and depressive symptoms differ based on gender and screen-time mode.

Higher levels of physical activity (PA) and screen time (ST) are associated with positive and negative mental health outcomes among adolescents, respectively. Research is needed to determine the interrelationship between ST and PA with depressive symptoms and the influence of ST modes. This study examines the associations between ST and PA level with depressive symptoms among 1756 adolescents (15.2 ± 1.6y; 995 female) in Ireland. Participants completed the Quick Inventory of Depressive Symptomatology and self-reported weekly ST (TV, computer, and phone use) and PA level (low, moderate, and high). Linear regressions examined associations between ST mode, PA level and relevant covariates with depressive symptoms in the full sample by gender, and in a sample stratified by PA level. Chi-square tests and one-way ANOVA examined gender differences in hours of ST, PA levels, and depressive symptoms. Differential associations were observed depending on the gender and ST mode. Higher levels of computer (ß = 0.106, p ≤ 0.000) and phone use (ß = 0.138, p ≤ 0.000) showed the strongest associations with depressive symptoms. PA level was inversely associated with depressive symptoms (ß = - 0.175, p ≤ 0.000). When the sample was stratified by PA level, only associations between phone use and depressive symptoms were moderated by PA level for males and females. These findings highlight the complex interrelationships between ST, PA, and depressive symptoms, and that associations may vary based on gender and ST mode. This may have implications for future interventions. Increasing PA and reducing ST should be targeted concurrently with consideration given to different media and genders. Future research should explore longitudinal and prospective associations.

Differential Associations of Total and Context-Specific Sedentary Time with Depressive Symptoms Among Adolescents: Results from Ireland's CSPPA Study.

BACKGROUND: Higher levels of sedentary behaviour (SB) and screen-time are associated with greater symptoms of depression in adolescents, but the effect of the type and context of SB and screen-time remains underexplored. As part of a nationally-representative observational study, the current cross-sectional study examined associations between SB, screen-time and depressive symptoms among 422 adolescents (13.5 ± 0.92 years; 125 female) in the Republic of Ireland. METHOD: Participants completed the Quick Inventory of Depressive Symptomatology and self-reported weekly SB, categorised into mentally-active screen-time (e.g., computer use for fun), mentally-passive screen-time (e.g., television viewing) and mentally-active non-screen-based SB (e.g., reading). Mann-Whitney U tests and Kruskal-Wallis H tests examined differences in screen-time and depressive symptoms by relevant covariates. Linear regression quantified crude and adjusted associations between total SB and mentally-active and mentally-passive screen-time and SB, and depressive symptoms. RESULTS: Crude and adjusted linear regressions showed total SB was significantly, positively associated with depressive symptoms (unadjusted: ß = 0.27, p = 0.002, adjusted: ß = 0.27, p = 0.002). When type and context were examined in the same model, only mentally-active screen-time was positively associated with depressive symptoms (unadjusted: ß = 0.37, p = 0.009, adjusted: ß = 0.39, p = 0.007). CONCLUSION: Differential associations between total SB and mentally-active screen-time and SB, versus mentally-passive screen-time, and depressive symptoms among Irish adolescents were observed. Findings highlight the importance of investigating the context and type of SB and screen-time in adolescents.

What we know about the actual implementation process of public physical activity policies: results from a scoping review.

BACKGROUND: Physical inactivity rates have remained high worldwide since 2001. Public policies are an essential upstream lever to target individual physical activity (PA) behaviour. However, implementers have different strategies and face implementation challenges that are poorly understood. The present study analyzes the implementation processes of public policies to promote PA in terms of: (i) the policies covered and their legal quality, (ii) the actors and stakeholders involved in the implementation process and (iii) the used implementation strategies (vertical, horizontal or a mix). METHODS: A scoping review was systematically conducted (registered Open Science Framework: osf.io/7w84q/), searching 10 databases and grey literature until March 2022. Of the 7741 titles and abstracts identified initially, 10 studies were included. RESULTS: The current evidence includes high-income countries (USA, n = 7; UK, New Zealand and Oman, n = 1 each). Policy areas covered are education (school sector) and PA promotion in general (national PA plans or city-wide approaches). The legal classification ranges from laws (school sector) to coordination and budgeting to non-legally binding recommendations. The jurisdictions covered were federal (n = 4), state (n = 1), county (n = 1), school district (n = 1) and city (n = 3). Implementation strategies for city-wide approaches are characterized by a coordinated approach with vertical and horizontal integration; federal PA policies by a mix of implementation strategies; and the school sector by a strict horizontal top-down integration without the involvement of other actors. CONCLUSION: Implementation strategies differ by policy field. Therefore, continuous evaluation of the implementation process is necessary to align policy implementation with policy goals to promote individual PA behaviour.

Dietary behaviour and physical activity policies in Europe: learnings from the Policy Evaluation Network (PEN).

The European Policy Evaluation Network (PEN), initiated in autumn 2018, aimed at advancing the evidence base for public policies impacting dietary behaviour, physical activity and sedentary behaviours in Europe. This is needed because non-communicable diseases-the leading cause of global mortality-are substantially caused by physical inactivity and unhealthy dietary behaviours, which in turn are driven by upstream factors that have not yet been addressed effectively by prevention approaches. Thus, successful policy interventions are required that target entire populations and tackle the 'causes of the causes'. To advance our knowledge on the effective implementation of policies and their impact in terms of improving health behaviours, PEN focused on five research tasks: (i) Adaptation and implementation of a Food Environment Policy Index (Food-EPI) and development of a Physical Activity Environment Policy Index (PA-EPI); (ii) Mapping of health-related indicators needed for policy evaluation and facilitating a harmonized pan-European approach for surveillance to assess the impact of policy interventions; (iii) Refining quantitative methods to evaluate the impact of public policies; (iv) Identifying key barriers and facilitators of implementation of policies; and (v) Advance understanding the equity impact of the development, implementation and evaluation of policies aimed at promoting physical activity and a healthy diet. Finally, and in order to provide concrete evidence for policymaking, existing exemplary policies, namely sugar-sweetened beverages taxation, active transport policies and school policies on nutrition and physical activity were assessed in consideration of these five tasks. At the end of the PEN project's formal runtime, considerable advancements have been made. Here, we present an overview of the most important learnings and outputs.

Acceptability of policies targeting dietary behaviours and physical activity: a systematic review of tools and outcomes.

BACKGROUND: Successful implementation of health policies require acceptance from the public and policy-makers. This review aimed to identify tools used to assess the acceptability of policies targeting physical activity and dietary behaviour, and examine if acceptability differs depending on characteristics of the policy and of the respondents. METHODS: A systematic review (PROSPERO: CRD42021232326) was conducted using three databases (Science Direct, PubMed and Web of Science). RESULTS: Of the initial 7780 hits, we included 48 eligible studies (n = 32 on dietary behaviour, n = 11 on physical activity and n = 5 on both), using qualitative and quantitative designs (n = 25 cross-sectional, quantitative; n = 15 qualitative; n = 5 randomized controlled trials; n = 3 mixed-methods design). Acceptability was analysed through online surveys (n = 24), interviews (n = 10), focus groups (n = 10), retrospective textual analysis (n = 3) and a taste-test experiment (n = 1). Notably, only 3 (out of 48) studies applied a theoretical foundation for their assessment. Less intrusive policies such as food labels and policies in a later stage of the implementation process received higher levels of acceptability. Women, older participants and respondents who rated policies as appropriate and effective showed the highest levels of acceptability. CONCLUSION: Highly intrusive policies such as taxations or restrictions are the least accepted when first implemented, but respondents' confidence in the relevance and effectiveness of the policy may boost acceptability over the course of implementation. Studies using validated tools and a theoretical foundation are needed to further examine opportunities to increase acceptability.

Reaching consensus on definitions for food and physical activity policies: experience from the Policy Evaluation Network.

BACKGROUND: An upsurge in policy evaluation research within public health sciences has led to multi-disciplinary research networks like the 'Policy Evaluation Network' (PEN). This multi-disciplinary collaboration highlighted the need for consensus on clear, common terminology and definitions to facilitate the multi-disciplinary research. This article outlines the development process of the PEN definitions glossary tool, with a focus on the key domains of policy design, implementation and outcomes as they apply to physical activity, sedentary behaviour and dietary behaviours. METHODS: A project specific participatory process was undertaken, involving PEN researchers (n = 48) from seven European countries across various disciplinary backgrounds. All involved researchers were invited to identify and collate definitions that were commonly used in their research field. Terms and definitions were discussed and debated during three online workshops. Subsequently, the definitions were discussed and refined until consensus was reached. RESULTS: Consensus definitions for 93 terms related to the evaluation of policy design, implementation and outcomes are provided. Consensus was reached on a range of terms where the terms were understood and used differently across represented disciplines (e.g. 'Outcome' and 'Impact'). A conceptual 'Inter-relations in policy-related concepts' diagram was developed to enable navigation through an online database with key terms. CONCLUSIONS: The definitions resulting from this participatory process has supported PEN researchers and practitioners across disciplines to reach a shared understanding of different terms related to policy evaluation. Thus, providing a platform for avoiding conflicting use of the same terms in differing contexts over the course of the PEN work programme, facilitating clear and consistent communication, and allowing for clarity within collaborative multi-disciplinary projects and in public-facing messages.

The impact of mass-media campaigns on physical activity: a review of reviews through a policy lens.

BACKGROUND: This review of reviews aimed to: (1) summarize the evidence from published reviews on the effectiveness of mass-media campaigns to promote physical activity (PA) or PA-related determinants (intermediate psychological and proximal outcomes) and (2) to identify policy-relevant recommendations related to successful PA campaigns. METHODS: An extensive literature search was performed on 1 March 2021. Reviews that evaluated the impact of campaigns on distal (e.g. PA) and/or proximal outcomes of PA (awareness, knowledge, etc.) and that targeted the general population or subsets were included. Quality of reviews was assessed using the AMSTAR-2 tool. Policy-relevant recommendations were systematically derived and synthesized and formulated as good practice statements. A protocol was registered beforehand (ID: CRD42021249184). RESULTS: A total of 1915 studies were identified, of which 22 reviews were included. The most consistent evidence was found for the effectiveness of mass-media campaigns on proximal outcomes, while the evidence for distal outcomes was mixed. Good practice statements were derived: (1) to achieve behaviour change, mass-media is an important component of larger, multilevel and multicomponent strategies; (2) mass-media strategies should be coordinated and aligned at local- and national-level and be sustained, monitored and resourced at these levels and (3) media should be tailored to reduce socioeconomic inequalities. CONCLUSIONS: Mass-media can play an important role in the promotion of PA. In general, evidence was more inconsistent for effectiveness on distal outcomes than for proximal outcomes. Policy-relevant recommendations include that mass-media strategies should be resourced, coordinated, aligned, sustained, monitored and evaluated on the local and national level.

The Physical Activity Environment Policy Index for monitoring government policies and actions to improve physical activity.

BACKGROUND: A multifaceted response, including government action, is essential to improve population levels of physical activity (PA). This article describes the development process of the 'Physical Activity Environment Policy Index' (PA-EPI) monitoring framework, a tool to assess government policies and actions for creating a healthy PA environment. METHODS: An iterative process was undertaken. This involved a review of policy documents from authoritative organizations, a PA policy audit of four European countries, and a systematic review of scientific literature. This was followed by an online consultation with academic experts (N = 101; 20 countries, 72% response rate), and policymakers (N = 40, 4 EU countries). During this process, consensus workshops were conducted, where quantitative and qualitative data, alongside theoretical and pragmatic considerations, were used to inform PA-EPI development. RESULTS: The PA-EPI is conceptualized as a two-component 'policy' and 'infrastructure support' framework. The two-components comprise eight policy and seven infrastructure support domains. The policy domains are education, transport, urban design, healthcare, public education (including mass media), sport-for-all, workplaces and community. The infrastructure support domains are leadership, governance, monitoring and intelligence, funding and resources, platforms for interaction, workforce development and health-in-all-policies. Forty-five 'good practice statements' or indicators of ideal good practice within each domain conclude the PA-EPI. A potential eight-step process for conducting the PA-EPI is described. CONCLUSIONS: Once pre-tested and piloted in several countries of various sizes and income levels, the PA-EPI good practice statements will evolve into benchmarks established by governments at the forefront of creating and implementing policies to address inactivity.

Music and Movement for Health: Protocol for a pragmatic cluster-randomised feasibility pilot trial of an arts-based programme for the health and wellbeing of older adults.

Background: Arts-based health programmes (ABHP) can enhance the physical and psychosocial health and wellbeing of older people. However, the feasibility and usefulness of such programmes in Ireland are currently unknown. The primary aim of this study is to examine the feasibility of the study design, its application to a music and movement for health programme and associated costs. The secondary aim is to obtain preliminary effect estimates of an ABHP on health and wellbeing in older adults. Methods: This study is a pragmatic cluster-randomised controlled feasibility trial. Community-dwelling adults, aged 65 years or older will be recruited in the mid-west region of Ireland via methods including social prescription, traditional and social media. The clusters, based on geographical region, will be block randomised to either the ABHP or control using 1:1 allocation ratio. The programme will comprise a 1.5-hour music and dance session each week for 12-weeks together with a 1-hour home-based music and movement programme for 12-weeks. A qualitative and quantitative process evaluation of the arts-based health programme will be performed. Outcomes: Primary outcomes for feasibility include recruitment rates (the number of participants recruited per cluster per month); retention rate (the number of participants who complete measures at baseline and at follow up post intervention, and minimum average attendance. Secondary outcomes will include physical function, balance, physical activity, loneliness, social isolation, cognition, mood, as well as quality of life and cost. Conclusions: If this pioneering study finds evidence to support feasibility and acceptability, a future larger-scale definitive trial will be conducted to examine the effectiveness of an arts-based health programme for older adults. This research aims to strengthen collaborative efforts to implement effective, sustainable and cost-effective programmes for older adults to support community connection, enhancing health and wellbeing, in turn reducing demands on the healthcare system. ISRCTN registration: ISRCTN35313497 (18/02/2022).

"Getting Ireland Active"-Application of a Systems Approach to Increase Physical Activity in Ireland Using the GAPPA Framework.

Physical activity (PA) promotion is a complex challenge, with the Global Action Plan on Physical Activity (GAPPA) endorsing a systems approach and recommending countries assess existing areas of progress which can be strengthened. This paper reports a process facilitating a systems approach for identifying current good practice and gaps for promoting PA in Ireland. Elements of participatory action research were enabled through 3 stages: (1) aligning examples of actions from Irish policy documents (n = 3) to the GAPPA, (2) workshop with stakeholders across multiple sectors, and (3) review of outputs. Data collected through the workshop were analyzed using a deductive thematic analysis guided by the GAPPA. The policy context in Ireland aligns closely to the GAPPA with the creation of Active Systems the most common strategic objective across policy documents. Forty participants (50% male) took part in the systems approach workshop, which after revision resulted in 80 examples of good practice and 121 actions for greater impact. A pragmatic and replicable process facilitating a systems approach was adopted and showed current Irish policy and practices align with the GAPPA "good practices." The process provides existing areas of progress which can be strengthened, as well as the policy opportunities and practice gaps.

Juggling with theory, evidence, practice, and real-world circumstances: Development of a complex community intervention to increase physical activity in inactive adults aged 50 years and older - The Move for Life Study.

Despite well-known benefits of physical activity, in Ireland only 38 % of older adults are sufficiently active. Behavioural interventions are rarely developed systematically and, when reported, inadequate description often becomes a barrier for subsequent replication and scalability. In this article, we describe the development and characteristics of Move for Life, an intervention to reach and help inactive adults aged 50 years and older increase their physical activity. It was designed to fit within existing group-based structured physical activity programmes run by Local Sports Partnerships, thus maximising the likelihood of translation into policy and practice. Constructs from social cognitive theory, self-determination theory, and the conceptual model of group cohesion in exercise informed the conceptual model and the development of behavioural skills, social support, and group cohesion intervention strategies. Physical activity instructors supported by peer mentors, who also contributed to sustaining the intervention, implemented these strategies. Moving away from accounts of intervention development as a relatively simple linear process, we illustrate the complex interplay of theory, evidence, practice, and real-world contextual circumstances that shaped the development of Move for Life. Against this backdrop, we discuss issues relevant to the planning and reporting of behavioural and physical activity interventions in public health.

Socio-ecological correlates of physical activity in a nationally representative sample of adolescents across Ireland and Northern Ireland.

Physical activity (PA) is associated with a range of health benefits for adolescents. Few adolescents meet one hour daily of moderate-to-vigorous physical activity (MVPA). The World Health Organisation (WHO) now recommends an 'on average' accumulation. In light of these updates, comparing correlates associated with meeting versus not meeting the PA guidelines provides limited understanding of adolescent behavioural choices. The aim of this study was to fractionate PA behaviour and investigate influential socio-ecological correlates across a diverse range of PA categories. A nationally representative sample (N = 6,563; age = 13.5 ± 1.9 years; male = 46.2%) completed a researcher supervised self-report survey. Empirically established instruments assessing the socio-ecological correlates of PA were included. Levels of MPVA were categorised into daily active (60mins.MVPA.daily), active (60mins.MVPA.5-6 days), somewhat active (60mins.MVPA.3-4 days) or inactive (60mins.MVPA.0-2 days). Descriptive statistics, chi-square analyses and multivariate blockwise binary logistic regression models were run separately for each PA category. Few were daily active (12.7%), 33.6% active, 36.5% somewhat active and 17.2% were inactive. Results showed that correlates differed in terms of direction and strength, depending on individual activity status. Increasing age was positively associated with being somewhat active, but not with being active or daily active. Attending an 'all-girls school' was negatively associated with daily active. High interpersonal support from family, friends or teachers was negatively associated with inactive or somewhat active, reducing the likelihood of adolescents remaining in these unhealthy PA categories. This novel information is useful for exploring previously established inconsistent relationships with PA. More sensitive categorisation and intervention tailoring to diverse PA categories is required.

Selection of key indicators for European policy monitoring and surveillance for dietary behaviour, physical activity and sedentary behaviour.

BACKGROUND: A pan-European approach to evaluate policy impact on health behaviour requires the employment of a consensus set of established and relevant indicators. METHODS: As part of the Joint Programming Initiative on a Healthy Diet for a Healthy Life, the Policy Evaluation Network PEN identified key indicators of health behaviours and their determinants. These key indicators are already, or have the potential to be, adopted by large European Union surveillance systems for the assessment of policy impact. The iterative selection process included consultations in two rounds via email prior to a 2-days expert workshop. The experts collated a list of dietary behaviour, physical activity and sedentary behaviour indicators for European policy monitoring in young and adult populations based on existing frameworks and literature reviews. The expert panel was composed of researchers, policy makers and representatives of major European surveillance systems and related initiatives, as well as, representatives of organisations providing monitoring data, such as the European Commission and Eurostat. RESULTS: The process provided two lists of key indicators including 37 diet 'policy' indicators and 35 indicators for dietary behaviour and their 'determinants'; as well as 32 physical activity 'policy' indicators and 35 indicators for physical activity, sedentary behaviour and their 'determinants'. CONCLUSION: A total of 139 key indicators related to the individual, the setting and the population level, and suitable for the assessment of dietary behaviour, physical activity and sedentary behaviour were prioritised by policy makers and researchers with the ultimate aim to embed policy evaluation measures in existing surveillance systems across the European Union. In a next step, data sources and suitable instruments will be identified to assess these key indicators.

The evidence for the impact of policy on physical activity outcomes within the school setting: A systematic review.

BACKGROUND: Despite the well-established health benefits of physical activity (PA) for young people (aged 4-19 years), most do not meet PA guidelines. Policies that support PA in schools may be promising, but their impact on PA behavior is poorly understood. The aim of this systematic review was to ascertain the level and type of evidence reported in the international scientific literature for policies within the school setting that contribute directly or indirectly to increasing PA. METHODS: This systematic review is compliant with Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. Six databases were searched using key concepts of policy, school, evaluation, and PA. Following title and abstract screening of 2323 studies, 25 progressed to data synthesis. Methodological quality was assessed using standardized tools, and the strength of the evidence of policy impact was described based on pre-determined codes: positive, negative, inconclusive, or untested statistically. RESULTS: Evidence emerged for 9 policy areas that had a direct or indirect effect on PA within the school setting. These were whole school PA policy, physical education, sport/extracurricular PA, classroom-based PA, active breaks/recess, physical environment, shared use agreements, active school transport, and surveillance. The bulk of the evidence was significantly positive (54%), 27% was inconclusive, 9% was significantly negative, and 11% was untested (due to rounding, some numbers add to 99% or 101%). Frequency of evidence was highest in the primary setting (41%), 34% in the secondary setting, and 24% in primary/secondary combined school settings. By policy area, frequency of evidence was highest for sport/extracurricular PA (35%), 17% for physical education, and 12% for whole school PA policy, with evidence for shared use agreements between schools and local communities rarely reported (2%). Comparing relative strength of evidence, the evidence for shared use agreements, though sparse, was 100% positive, while 60% of the evidence for whole school PA policy, 59% of the evidence for sport/extracurricular PA, 57% of the evidence for physical education, 50% of the evidence for PA in classroom, and 50% of the evidence for active breaks/recess were positive. CONCLUSION: The current evidence base supports the effectiveness of PA policy actions within the school setting but cautions against a "one-size-fits-all" approach and emphasizes the need to examine policy implementation to maximize translation into practice. Greater clarity regarding terminology, measurement, and methods for evaluation of policy interventions is needed.

A cluster analysis of device-measured physical activity behaviours and the association with chronic conditions, multi-morbidity and healthcare utilisation in adults aged 45 years and older.

Most adults do not meet physical activity guidelines with negative implications for health. The aim of this study was to profile adults using multiple physical activity behaviours and to investigate associations with chronic conditions, multi-morbidity and healthcare utilisation. The study used data generated from a sample of adults aged 45 years and older (N = 485), recruited to the Move for Life randomised control trial. Participants wore an accelerometer for eight consecutive days. Hierarchical cluster analysis was conducted using the variables: moderate to vigorous intensity physical activity, light intensity physical activity, step count, waking sedentary time, standing time and bed hours. Descriptive statistics were used to investigate associations with self-reported number of chronic illnesses, multi-morbidity and healthcare utilisation. Four distinct physical activity behaviour profiles were identified: inactive-sedentary (n = 50, 10.3%), low activity (n = 295, 60.8%), active (n = 111, 22.9%) and very active (n = 29, 6%). The inactive-sedentary cluster had the highest prevalence of chronic illnesses, in particular, mental illness (p = 0.006) and chronic lung disease (p = 0.032), as well as multi-morbidity, complex multi-morbidity and healthcare utilisation. The prevalence of any practice nurse visit (p = 0.033), outpatient attendances (p = 0.04) and hospital admission (p = 0.034) were higher in less active clusters. The results have provided an insight into how physical activity behaviour is associated with chronic illness and healthcare utilisation. A group within the group has been identified that is more likely to be unwell. Provisions need to be made to reduce barriers for participation in physical activity for adults with complex multi-morbidity and very low physical activity.