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Profiles of Active Transportation among Children and Adolescents in the Global Matrix 3.0 Initiative: A 49-Country Comparison

Author

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  • Silvia A. González

    (Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada
    School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON K1G 5Z3, Canada)

  • Salomé Aubert

    (Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada)

  • Joel D. Barnes

    (Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada)

  • Richard Larouche

    (Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada
    Faculty of Health Sciences, University of Lethbridge, 4401 University Drive, Lethbridge, AB T1K 3M4, Canada)

  • Mark S. Tremblay

    (Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON K1H 8L1, Canada
    School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON K1G 5Z3, Canada)

Abstract

This article aims to compare the prevalence of active transportation among children and adolescents from 49 countries at different levels of development. The data was extracted from the Report Cards on Physical Activity for Children and Youth from the 49 countries that participated in the Global Matrix 3.0 initiative. Descriptive statistics and a latent profile analysis with active transportation, Human Development Index and Gini index as latent variables were conducted. The global average grade was a “C”, indicating that countries are succeeding with about half of children and youth (47–53%). There is wide variability in the prevalence and in the definition of active transportation globally. Three different profiles of countries were identified based on active transportation grades, Human Development Index (HDI) and income inequalities. The first profile grouped very high HDI countries with low prevalence of active transport and low inequalities. The second profile grouped low and middle HDI countries with high prevalence of active transportation and higher inequalities. And the third profile was characterized by the relatively high prevalence of active transportation and more variability in the socioeconomic variables. Promising policies from countries under each profile were identified. A unified definition of active transportation and contextualized methods for its assessment are needed to advance in surveillance and practice.

Suggested Citation

  • Silvia A. González & Salomé Aubert & Joel D. Barnes & Richard Larouche & Mark S. Tremblay, 2020. "Profiles of Active Transportation among Children and Adolescents in the Global Matrix 3.0 Initiative: A 49-Country Comparison," IJERPH, MDPI, vol. 17(16), pages 1-29, August.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5997-:d:400560
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    References listed on IDEAS

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    1. Fernando Rodríguez-Rodríguez & Carlos Cristi-Montero & Carlos Celis-Morales & Danica Escobar-Gómez & Palma Chillón, 2017. "Impact of Distance on Mode of Active Commuting in Chilean Children and Adolescents," IJERPH, MDPI, vol. 14(11), pages 1-9, November.
    2. Mori, N. & Armada, F. & Willcox, D.C., 2012. "Walking to school in Japan and childhood obesity prevention: New lessons from an old policy," American Journal of Public Health, American Public Health Association, vol. 102(11), pages 2068-2073.
    3. Chris Roberts & J. Freeman & O. Samdal & C. Schnohr & M. Looze & S. Nic Gabhainn & R. Iannotti & M. Rasmussen, 2009. "The Health Behaviour in School-aged Children (HBSC) study: methodological developments and current tensions," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 54(2), pages 140-150, September.
    4. Miguel Peralta & Duarte Henriques-Neto & Joana Bordado & Nuno Loureiro & Susana Diz & Adilson Marques, 2020. "Active Commuting to School and Physical Activity Levels among 11 to 16 Year-Old Adolescents from 63 Low- and Middle-Income Countries," IJERPH, MDPI, vol. 17(4), pages 1-8, February.
    5. Richard J. Lee & Ipek N. Sener & S. Nathan Jones, 2017. "Understanding the role of equity in active transportation planning in the United States," Transport Reviews, Taylor & Francis Journals, vol. 37(2), pages 211-226, March.
    6. Broberg, Anna & Sarjala, Satu, 2015. "School travel mode choice and the characteristics of the urban built environment: The case of Helsinki, Finland," Transport Policy, Elsevier, vol. 37(C), pages 1-10.
    7. Torres, A. & Sarmiento, O.L. & Stauber, C. & Zarama, R., 2013. "The ciclovia and cicloruta programs: Promising interventions to promote physical activity and social capital in bogotá, Colombia," American Journal of Public Health, American Public Health Association, vol. 103(2), pages 23-30.
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    2. Nuno Loureiro & Vânia Loureiro & Alberto Grao-Cruces & João Martins & Margarida Gaspar de Matos, 2022. "Correlates of Active Commuting to School among Portuguese Adolescents: An Ecological Model Approach," IJERPH, MDPI, vol. 19(5), pages 1-10, February.
    3. Hanna Forsberg & Anna-Karin Lindqvist & Sonja Forward & Lars Nyberg & Stina Rutberg, 2021. "Development and Initial Validation of the PILCAST Questionnaire: Understanding Parents’ Intentions to Let Their Child Cycle or Walk to School," IJERPH, MDPI, vol. 18(21), pages 1-17, November.
    4. Kristy Howells & Tara Coppinger, 2022. "The Forgotten Age Phase of Healthy Lifestyle Promotion? A Preliminary Study to Examine the Potential Call for Targeted Physical Activity and Nutrition Education for Older Adolescents," IJERPH, MDPI, vol. 19(10), pages 1-19, May.

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