Growing socioeconomic and structural disparities within and between nations have created unprecedented health inequities that have been felt most keenly among the world’s youth. While policy approaches can help to mitigate such inequities, they are often challenging to enact in under-resourced and marginalized communities. Community-engaged participatory action research provides an alternative or complementary means for addressing the physical and social environmental contexts that can impact health inequities. The purpose of this article is to describe the application of a particular form of technology-enabled participatory action research, called the Our Voice citizen science research model, with youth. An overview of 20 Our Voice studies occurring across five continents indicates that youth and young adults from varied backgrounds and with interests in diverse issues affecting their communities can participate successfully in multiple contributory research processes, including those representing the full scientific endeavor. These activities can, in turn, lead to changes in physical and social environments of relevance to health, wellbeing, and, at times, climate stabilization. The article ends with future directions for the advancement of this type of community-engaged citizen science among young people across the socioeconomic spectrum.
<b><i>Background:</i></b> Children are becoming less physically active as opportunities for safe active play, recreational activities, and active transport decrease. At the same time, sedentary screen-based activities both during school and leisure time are increasing. <b><i>Objectives:</i></b> This study aimed to evaluate physical activity (PA), screen time, and sleep duration of girls and boys aged 6–9 years in Europe using data from the WHO European Childhood Obesity Surveillance Initiative (COSI). <b><i>Method:</i></b> The fourth COSI data collection round was conducted in 2015–2017, using a standardized protocol that included a family form completed by parents with specific questions about their children’s PA, screen time, and sleep duration. <b><i>Results:</i></b> Nationally representative data from 25 countries was included and information on the PA behaviour, screen time, and sleep duration of 150,651 children was analysed. Pooled analysis showed that: 79.4% were actively playing for >1 h each day, 53.9% were not members of a sport or dancing club, 50.0% walked or cycled to school each day, 60.2% engaged in screen time for <2 h/day, and 84.9% slept for 9–11 h/night. Country-specific analyses of these behaviours showed pronounced differences, with national prevalences in the range of 61.7–98.3% actively playing for >1 h/day, 8.2–85.6% were not members of a sport or dancing club, 17.7–94.0% walked or cycled to school each day, 32.3–80.0% engaged in screen time for <2 h/day, and 50.0–95.8% slept for 9–11 h/night. <b><i>Conclusions:</i></b> The prevalence of engagement in PA and the achievement of healthy screen time and sleep duration are heterogenous across the region. Policymakers and other stakeholders, including school administrators and parents, should increase opportunities for young people to participate in daily PA as well as explore solutions to address excessive screen time and short sleep duration to improve the overall physical and mental health and well-being of children.
HighlightsMost EU Member States developed HEPA policies on “Sport”, “Health”, and “Education” sectors (27, 23 and 27, respectively).Seventeen countries developed policies on “Environment, Urban Planning, and Public Safety” and 16 on “Working Environment”.Less than 50% of the countries (N = 13) developed policies on the “Senior Citizens” sector.Few countries have implemented policies covering all areas of the monitoring framework.
There is a growing interest among health promotion researchers to better understand and influence the policy process. However, at this point in time, theoretical concepts enabling researchers to do so are still rare and underused, suggesting a need for new, easy-to-use concepts to explain successes or failures of health promotion policies. This article presents the ADEPT (Analysis of Determinants of Policy Impact) approach, which aims to explain and influence policy development and policy impact implementation with four determinants: goals, obligations, resources and opportunities. ADEPT provides a detailed operationalization for both quantitative and qualitative use. An empirical test of the ADEPT model using a quantitative survey of 719 policy-makers from four health promotion policy fields and six European nations indicated that both policy outputs and policy outcomes are influenced by the four determinants. The approach has, in the meantime, been successfully utilized to analyze and initiate policy development in a number of health promotion projects. Despite a number of limitations, ADEPT provides an easy-to-use, theory-based and parsimonious tool for understanding and influencing policy processes in health promotion. Moreover, as it identifies potential 'levers of influence' and can easily be connected to existing methods of community development or capacity building, it is a particularly powerful tool for policy development.
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