Which transport policies increase physical activity of the whole of society? A systematic review

Żukowska, Joanna; Gobis, Anna; Krajewski, Piotr; Morawiak, Agnieszka; Okraszewska, Romanika; Woods, Catherine; Volf, Kevin; Kelly, Liam; Gelius, Peter; Messing, Sven; Forberger, Sarah; Lakerveld, Jeroen; Braver, Nicolette R. den; Bengoechea, Enrique Garcíá

doi:10.1016/j.jth.2022.101488

Cited by 25 publications

(14 citation statements)

References 31 publications

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“…Los estudios indican consistentemente que el uso de modos de transporte activo se traduce en niveles generales más altos de AF (Faulkner, Buliung, Flora, & Fusco, 2009), y en niveles más bajos de sobrepeso y obesidad (Flint, Cummins, & Sacker, 2014). Precisamente, Zukowska et al (2022), afirman que existe una clara evidencia que la promoción del transporte activo y el transporte público au-mentan la AF de los ciudadanos. Asimismo, se asocia con beneficios físicos, psicológicos y motivacionales de las personas que lo utilizan (Padilla, Cobos, Sánchez, López, & Quiñones, 2022).…”

Section: Introductionunclassified

“…Esto se ha convertido en que se ha incrementado toda la red de carriles bici, concretamente se ha incrementado más de 83 km en longitud, pasando de 123 km a más de 206 km hasta setiembre de 2022 (Alomon, 2022). Este tipo de políticas de transporte relacionadas con el desarrollo y la mejora de la infraestructura a nivel comunitario se ha demostrado que aumentan la AF, favoreciendo así el transporte activo (Zukowska et al, 2022).…”

Section: Introductionunclassified

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Análisis de edades, género y nivel socioeconómico del tiempo de uso del sistema de bicicletas compartidas de València (España) (Analysis of age, gender and socio-economic level of the time of use of the València bike-sharing system (Spain))

Pans¹,

Antón-González²,

Villarrasa-Sapiña³

2023

Retos

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Los sistemas de bicicletas compartidas (SBC) son unas de las formas de transporte activo que ha ganado popularidad en las últimas décadas para el fomento la actividad física y los estilos de vida saludable entre la población. Muy pocos son los estudios a nivel español que existen abordando esta realidad. Por ello, el objetivo de este estudio es conocer las características socioeconómicas (i.e. nivel socioeconómico, género y edad) de las personas que utilizan el SBC de la ciudad de València y su relación con el tiempo de uso del SBC. Nuestra base de datos contenía el total de movimientos de 6946 usuarios (4484 hombres; 2262 mujeres) del SBC de València durante un período de 1 año. Se realizó un análisis descriptivo, comparaciones por pares (pruebas U de Mann-Whitney y Kruskal-Wallis) en datos con la distribución no normal. Los resultados del estudio mostraron diferencias significativas en el tiempo de uso por razón de género (p < 0,01), edad (p < 0,01), y nivel socioeconómico (p < 0,01). Las mujeres usan menos que los hombres el SBC de València, las personas mayores utilizan durante más tiempo SBC que las personas más jóvenes, y que las personas con un nivel socioeconómico más bajo tienen un uso mayor que las personas con un nivel socioeconómico alto y medio. Las políticas de movilidad deberían tener en cuenta estas diferencias a la hora de diseñar los programas de transporte activo para la población. Palabras clave: Transporte activo, Actividad física, Renta, Ambiente urbano, Bicicletas públicas Abstract. Bicycle sharing systems (BSS) are one of the forms of active transport that has gained popularity in recent decades for the promotion of physical activity and healthy lifestyles among the population. There are very few studies in Spain that address this reality. Therefore, the aim of this study is to know the socioeconomic characteristics (i.e. socioeconomic level, gender and age) of the people who use the BSS in the city of València and their relationship with the time spent using the BSS. Our database contained the total movements of 6946 users (4484 men; 2262 women) of the València BSS over a period of 1 year. A descriptive analysis, pairwise comparisons (Mann-Whitney U and Kruskal-Wallis tests) were performed on data with non-normal distribution. The results of the study showed significant differences in time of use by gender (p < 0.01), age (p < 0.01), and socioeconomic level (p < 0.01). Women use València BSS less than men, older people use the BSS more time than younger people, and people with a lower socio-economic level have a higher usage than people with a high and medium socio-economic level. Mobility policies should take these differences into account when designing active transport programs for the population. Key words: Active transport, Physical activity, Income, Urban environment, Public bicycles.

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Section: Introductionunclassified

Análisis de edades, género y nivel socioeconómico del tiempo de uso del sistema de bicicletas compartidas de València (España) (Analysis of age, gender and socio-economic level of the time of use of the València bike-sharing system (Spain))

Pans¹,

Antón-González²,

Villarrasa-Sapiña³

2023

Retos

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“…We identified three main transport policy areas contributing to higher physical activity levels: (i) convenient transport infrastructure development, (ii) active transport promotion and (iii) shift of transport mode. 69 Results of a meta-analysis indicate that active transport-related interventions significantly reduce car use. 70 An evaluation of the effect of SUMP implementation on physical activity levels was restricted by data availability.…”

Section: Public Policies With Potential Influence On Food and Physica...mentioning

confidence: 99%

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

Ahrens

Brugger

Flechtner-Mors

et al. 2022

European Journal of Public Health

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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.

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“…Theoretical support for this idea comes from ecological models of health promotion which highlight the importance of policy action. Empirical support comes from review studies which identify social and environmental factors which in uence population PA levels (Volf et al, 2022;Zukowska et al, 2022). These ndings suggest that policy action is necessary to affect changes to these environments to empower people to engage in healthier PA behaviours.…”

Section: Introductionmentioning

confidence: 99%

Assessing the implementation of physical activity-promoting public policies in Ireland: A Study using the Physical Activity Environment Policy Index (PA-EPI)

Volf

Kelly

Hoye

et al. 2022

Preprint

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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 tool which assesses the implementation of government policy on PA by drawing on the experience of national stakeholders. This study is the first to assess the extent of policy implementation using the PA-EPI tool and provides information on how PA policy implementation can be improved thereby maximising policy impact. Methods: This study was undertaken in 8 steps. The first steps involved collecting information about the implementation of PA policy in Ireland. and validating this information with government officials. A panel of 32 independent PA stakeholders were consulted and asked to rate the extent of implementation of all indicators of the PA-EPI. Finally, based on this information recommendations for implementation actions were generated, identified and disseminated. Results: Of the 45 indicators of the PA-EPI, one indicator received a rating of “None / Very Little”, 25 received a rating of “Low” and 19 received a “Medium” implementation Rating. No indicator was rated as fully implemented but the best implemented indicators related to sustained mass media campaigns promoting PA and the PA monitoring. We generated a shortlist of 10 priority recommendations for implementation. Conclusions: In Ireland, over half of the indicators received a low score for implementation. Our study reveals substantial implementation gaps and provides a pathway for addressing these gaps. In time, studies utilising the PA-EPI will enable cross country comparison and benchmarking of PA policy implementation.

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Which transport policies increase physical activity of the whole of society? A systematic review

Cited by 25 publications

References 31 publications

Análisis de edades, género y nivel socioeconómico del tiempo de uso del sistema de bicicletas compartidas de València (España) (Analysis of age, gender and socio-economic level of the time of use of the València bike-sharing system (Spain))

Análisis de edades, género y nivel socioeconómico del tiempo de uso del sistema de bicicletas compartidas de València (España) (Analysis of age, gender and socio-economic level of the time of use of the València bike-sharing system (Spain))

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

Assessing the implementation of physical activity-promoting public policies in Ireland: A Study using the Physical Activity Environment Policy Index (PA-EPI)

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