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Using Photovoice to Examine Physical Activity in the Urban Context and Generate Policy Recommendations: The Heart Healthy Hoods Study

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  • Pedro Gullón

    (Social and Cardiovascular Epidemiology Research Group, School of Medicine, Universidad de Alcala, Alcala de Henares, 28871 Madrid, Spain
    Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA 19104, USA)

  • Julia Díez

    (Social and Cardiovascular Epidemiology Research Group, School of Medicine, Universidad de Alcala, Alcala de Henares, 28871 Madrid, Spain)

  • Paloma Conde

    (Social and Cardiovascular Epidemiology Research Group, School of Medicine, Universidad de Alcala, Alcala de Henares, 28871 Madrid, Spain)

  • Carmen Ramos

    (Public Health Institute of Madrid, Madrid City Council, 28007 Madrid, Spain)

  • Valentín Márquez

    (Social Services Department of Madrid, Madrid City Council, 28007 Madrid, Spain
    Department of Social Work and Social Services, Universidad Complutense de Madrid, 28040 Madrid, Spain)

  • Hannah Badland

    (Center for Urban Research, RMIT University, Melbourne, 3000 VIC, Australia)

  • Francisco Escobar

    (Social and Cardiovascular Epidemiology Research Group, School of Medicine, Universidad de Alcala, Alcala de Henares, 28871 Madrid, Spain
    Department of Geology, Geography and Environmental Sciences, University of Alcalá, 28801 Alcalá de Henares, Madrid, Spain)

  • Manuel Franco

    (Social and Cardiovascular Epidemiology Research Group, School of Medicine, Universidad de Alcala, Alcala de Henares, 28871 Madrid, Spain
    Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA)

Abstract

A current challenge in physical activity research is engaging citizens with co-creating policies that support physical activity participation. Using Photovoice, a participatory action research method, the objectives of this study were to: 1) Identify community perceptions of urban built, social, and political/economic environment factors associated with physical activity; and 2) generate community-driven policy recommendations to increase physical activity. Two districts in Madrid of varying socio-economic status (SES) were selected. Overall, 24 residents participated in 4 groups stratified by sex and district (6 participants per group). Groups met weekly for 4 weeks to discuss and analyze their photographs. Participants coded photographs into categories, which were then regrouped into broader themes. The categories were transformed into policy recommendations using an adaptation of the logical framework approach. Participants took 161 photos, which were classified into 61 categories and 14 broader themes (e.g., active transportation, sport in the city). After this, participants generated a set of 34 policy recommendations to improve the urban environment to support physical activity (e.g., to redistribute sports facilities). Collaboration between citizens and researchers led to a deeper understanding of the community perceptions of urban built, social, and political/economic environment factors associated with physical activity in two districts of Madrid, while engaging citizens in recommending public policies.

Suggested Citation

  • Pedro Gullón & Julia Díez & Paloma Conde & Carmen Ramos & Valentín Márquez & Hannah Badland & Francisco Escobar & Manuel Franco, 2019. "Using Photovoice to Examine Physical Activity in the Urban Context and Generate Policy Recommendations: The Heart Healthy Hoods Study," IJERPH, MDPI, vol. 16(5), pages 1-16, March.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:5:p:749-:d:210248
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    References listed on IDEAS

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    1. Julia Díez & Pedro Gullón & María Sandín Vázquez & Belén Álvarez & María Del Prado Martín & María Urtasun & Maite Gamarra & Joel Gittelsohn & Manuel Franco, 2018. "A Community-Driven Approach to Generate Urban Policy Recommendations for Obesity Prevention," IJERPH, MDPI, vol. 15(4), pages 1-15, March.
    2. Belon, Ana Paula & Nieuwendyk, Laura M. & Vallianatos, Helen & Nykiforuk, Candace I.J., 2014. "How community environment shapes physical activity: Perceptions revealed through the PhotoVoice method," Social Science & Medicine, Elsevier, vol. 116(C), pages 10-21.
    3. Bancroft, Carolyn & Joshi, Spruha & Rundle, Andrew & Hutson, Malo & Chong, Catherine & Weiss, Christopher C. & Genkinger, Jeanine & Neckerman, Kathryn & Lovasi, Gina, 2015. "Association of proximity and density of parks and objectively measured physical activity in the United States: A systematic review," Social Science & Medicine, Elsevier, vol. 138(C), pages 22-30.
    4. Farrell, Lisa & Hollingsworth, Bruce & Propper, Carol & Shields, Michael A., 2014. "The socioeconomic gradient in physical inactivity: Evidence from one million adults in England," Social Science & Medicine, Elsevier, vol. 123(C), pages 55-63.
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    Cited by:

    1. Andrea Pastor & Irene Molina de la Fuente & María Sandín Vázquez & Paloma Conde & Marina Bosque-Prous & Manuel Franco & Niamh Shortt & Xisca Sureda, 2020. "Availability, Promotion, and Signs of Alcohol Consumption: A Mixed Methods Study of Perceived Exposure and Objective Measures," IJERPH, MDPI, vol. 17(21), pages 1-17, November.

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