Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Woods CB

PROVIDER: S-EPMC9706113 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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Publications

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

Woods Catherine B CB Kelly Liam L Volf Kevin K Gelius Peter P Messing Sven S Forberger Sarah S Lakerveld Jeroen J den Braver Nicolette R NR Zukowska Joanna J García Bengoechea Enrique E

European journal of public health 20221101 Suppl 4

<h4>Background</h4>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.<h4>Methods</h4>An iterative process was undertaken. This involved a review of policy documents from authoritative organizations, a PA policy ...[more]

PMID: 36444111

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Project description:BackgroundEven though the importance of physical activity policy monitoring has increased in the last decade, there is a lack of understanding what different approaches exist and which methodology they employ. In order to address this research gap, this review attempts to map existing approaches of physical activity policy monitoring and to analyse methodological aspects, especially with regards to the roles of governments and researchers.MethodsA systematic search was conducted in five scientific databases (PubMed, Scopus, SportDiscus, Psycinfo, Web of Knowledge) in July 2021, and the identified records were screened independently by two reviewers. Records were included if they (a) focused on the monitoring of public policies to promote PA, (b) allowed to compare policies across time, across nations/regions or across policy sectors, and (c) were written in English, German or Russian. During full text analysis, information on methodological aspects was extracted and studies were categorized based on the level of government involvement.ResultsThe search yielded in a total of 112 studies. 86 of these studies (76.8%) followed a research-driven approach (little or no government involvement) while only two studies (1.8%) were based on a government-driven approach (led by governments). The remaining 24 studies (21.4%) were based on a co-production approach (strong collaboration between researchers and governments). All in all, 18 different tools for physical activity policy monitoring were identified; key examples are the Report Cards on Physical Activity for Children and Youth (research-driven approach), the HEPA Monitoring Framework (government-driven approach) and the HEPA Policy Audit Tool (co-production approach).ConclusionsThe level of government involvement in policy monitoring differs significantly, and research-driven, government-driven and co-production approaches can be distinguished. These approaches have different strengths and weaknesses, and can be linked to distinct theories of change and models on research-policy relations. Increasing awareness on the implications of these approaches is key to improve the understanding and further development of physical activity policy monitoring.

Project description:ObjectivesEffective government policies are essential to increase the healthiness of food environments. The International Network for Food and Obesity/non-communicable diseases (NCDs) Research, Monitoring and Action Support (INFORMAS) has developed a monitoring tool (the Healthy Food Environment Policy Index (Food-EPI)) and process to rate government policies to create healthy food environments against international best practice. The aims of this study were to pilot test the Food-EPI, and revise the tool and process for international implementation.SettingNew Zealand.ParticipantsThirty-nine informed, independent public health experts and non-governmental organisation (NGO) representatives.Primary and secondary outcome measuresEvidence on the extent of government implementation of different policies on food environments and infrastructure support was collected in New Zealand and validated with government officials. Two whole-day workshops were convened of public health experts and NGO representatives who rated performance of their government for seven policy and seven infrastructure support domains against international best practice. In addition, the raters evaluated the level of difficulty of rating, and appropriateness and completeness of the evidence presented for each indicator.ResultsInter-rater reliability was 0.85 (95% CI 0.81 to 0.88; Gwet's AC2) using quadratic weights, and increased to 0.89 (95% CI 0.85 to 0.92) after deletion of the problematic indicators. Based on raters' assessments and comments, major changes to the Food-EPI tool include strengthening the leadership domain, removing the workforce development domain, a stronger focus on equity, and adding community-based programmes and government funding for research on obesity and diet-related NCD prevention, as good practice indicators.ConclusionsThe resulting tool and process will be promoted and offered to countries of varying size and income globally. International benchmarking of the extent of government policy implementation on food environments has the potential to catalyse greater government action to reduce obesity and NCDs, and increase civil society's capacity to advocate for healthy food environments.

Dataset Information

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

Background

Methods

Results

Conclusions

Publications

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

Similar Datasets

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