IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v8y2011i8p3333-3350d13577.html
   My bibliography  Save this article

Street Connectivity is Negatively Associated with Physical Activity in Canadian Youth

Author

Listed:
  • Graham Mecredy

    (Department of Community Health and Epidemiology, Queen’s University, 99 University Avenue, Kingston, ON K7L 3N6, Canada)

  • William Pickett

    (Department of Community Health and Epidemiology, Queen’s University, 99 University Avenue, Kingston, ON K7L 3N6, Canada
    Clinical Research Center, Angada 3, Kingston General Hospital, 76 Stuart St., Kingston, ON K7L 2V7, Canada)

  • Ian Janssen

    (Department of Community Health and Epidemiology, Queen’s University, 99 University Avenue, Kingston, ON K7L 3N6, Canada
    School of Kinesiology and Health Studies, Queen’s University, 99 University Avenue, Kingston, ON K7L 3N6, Canada)

Abstract

Street connectivity, defined as how well streets connect to one and other and the density of intersections, is positively associated with active transportation in adults. Our objective was to study the relation between street connectivity and physical activity in youth. Study participants consisted of 8,535 students in grades 6–10 from 180 schools across Canada who completed the 2006 Health Behaviour in School-aged Children (HBSC) survey. Street connectivity was measured in a 5 km circular buffer around these schools using established geographic information system measures. Physical activity performed outside of school hours was assessed by questionnaire, and multi-level regression analyses were used to estimate associations with street connectivity after controlling for several covariates. Compared to students living in the highest street connectivity quartile, those in the second (relative risk = 1.22, 95% confidence interval = 1.10–1.35), third (1.25, 1.13–1.37), and fourth (1.21, 1.09–1.34) quartiles were more likely to be physically active outside of school. In conclusion, youth in neighbourhoods with the most highly connected streets reported less physical activity outside of school than youth from neighbourhoods with less connected streets. Relationships between street connectivity and physical activity reported in this national study are in the opposite direction to those previously observed for active transportation in adult populations.

Suggested Citation

  • Graham Mecredy & William Pickett & Ian Janssen, 2011. "Street Connectivity is Negatively Associated with Physical Activity in Canadian Youth," IJERPH, MDPI, vol. 8(8), pages 1-18, August.
  • Handle: RePEc:gam:jijerp:v:8:y:2011:i:8:p:3333-3350:d:13577
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/8/8/3333/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/8/8/3333/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Saelens, B.E. & Sallis, J.F. & Black, J.B. & Chen, D., 2003. "Neighborhood-Based Differences in Physical Activity: An Environment Scale Evaluation," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1552-1558.
    2. Kevin Krizek & Amanda Birnbaum & David Levinson, 2004. "A Schematic for Focusing on Youth in Investigations of Community Design and Physical Activity," Working Papers 200408, University of Minnesota: Nexus Research Group.
    3. Southworth, Michael & Ben-Joseph, Eran, 2004. "Reconsidering the Cul-de-sac," University of California Transportation Center, Working Papers qt1qn0g780, University of California Transportation Center.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alyas A. Widita & Alex M. Lechner, 2024. "Spatial Interactions between Planned Settlements and Small Businesses: Evidence from the Jakarta Metropolitan Area, Indonesia," Land, MDPI, vol. 13(2), pages 1-17, February.
    2. Adriana Ortegon-Sanchez & Rosemary R. C. McEachan & Alexandra Albert & Chris Cartwright & Nicola Christie & Ashley Dhanani & Shahid Islam & Marcella Ucci & Laura Vaughan, 2021. "Measuring the Built Environment in Studies of Child Health—A Meta-Narrative Review of Associations," IJERPH, MDPI, vol. 18(20), pages 1-34, October.
    3. Obinna Justice Ubani & Micheal Oloyede Alabi & Emmanuel Ndukwe Chiemelu & Andrew Okosun & Chinwe Sam-Amobi, 2023. "Influence of Spatial Accessibility and Environmental Quality on Youths’ Visit to Green Open Spaces (GOS) in Akure, Nigeria," Sustainability, MDPI, vol. 15(17), pages 1-21, September.
    4. Melody Smith & Suzanne Mavoa & Erika Ikeda & Kamyar Hasanzadeh & Jinfeng Zhao & Tiina E. Rinne & Niamh Donnellan & Marketta Kyttä & Jianqiang Cui, 2022. "Associations between Children’s Physical Activity and Neighborhood Environments Using GIS: A Secondary Analysis from a Systematic Scoping Review," IJERPH, MDPI, vol. 19(3), pages 1-23, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ali Keyvanfar & M. Salim Ferwati & Arezou Shafaghat & Hasanuddin Lamit, 2018. "A Path Walkability Assessment Index Model for Evaluating and Facilitating Retail Walking Using Decision-Tree-Making (DTM) Method," Sustainability, MDPI, vol. 10(4), pages 1-33, March.
    2. Anura Amarasinghe & Gerard D'Souza & Cheryl Brown & Tatiana Borisova, 2006. "A Spatial Analysis of Obesity in West Virginia," Working Papers Working Paper 2006-13, Regional Research Institute, West Virginia University.
    3. Spielman, Seth E. & Yoo, Eun-hye, 2009. "The spatial dimensions of neighborhood effects," Social Science & Medicine, Elsevier, vol. 68(6), pages 1098-1105, March.
    4. Kevin Credit & Elizabeth Mack, 2019. "Place-making and performance: The impact of walkable built environments on business performance in Phoenix and Boston," Environment and Planning B, , vol. 46(2), pages 264-285, February.
    5. Mi Namgung & B. Elizabeth Mercado Gonzalez & Seungwoo Park, 2019. "The Role of Built Environment on Health of Older Adults in Korea: Obesity and Gender Differences," IJERPH, MDPI, vol. 16(18), pages 1-13, September.
    6. Courtney Coughenour & Hanns de la Fuente-Mella & Alexander Paz, 2019. "Analysis of Self-Reported Walking for Transit in a Sprawling Urban Metropolitan Area in the Western U.S," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    7. Eric T. H. Chan & Tim Schwanen & David Banister, 2021. "The role of perceived environment, neighbourhood characteristics, and attitudes in walking behaviour: evidence from a rapidly developing city in China," Transportation, Springer, vol. 48(1), pages 431-454, February.
    8. McNeill, Lorna Haughton & Kreuter, Matthew W. & Subramanian, S.V., 2006. "Social Environment and Physical activity: A review of concepts and evidence," Social Science & Medicine, Elsevier, vol. 63(4), pages 1011-1022, August.
    9. Fernando Fonseca & Escolástica Fernandes & Rui Ramos, 2022. "Walkable Cities: Using the Smart Pedestrian Net Method for Evaluating a Pedestrian Network in Guimarães, Portugal," Sustainability, MDPI, vol. 14(16), pages 1-23, August.
    10. repec:rri:wpaper:200613 is not listed on IDEAS
    11. Kent, Jennifer L. & Mulley, Corinne & Stevens, Nick, 2020. "Challenging policies that prohibit public transport use: Travelling with pets as a case study," Transport Policy, Elsevier, vol. 99(C), pages 86-94.
    12. Chandra Bhat & Ipek Sener, 2009. "A copula-based closed-form binary logit choice model for accommodating spatial correlation across observational units," Journal of Geographical Systems, Springer, vol. 11(3), pages 243-272, September.
    13. Victor O. Akande & Robert A.C. Ruiter & Stef P.J. Kremers, 2019. "Environmental and Motivational Determinants of Physical Activity among Canadian Inuit in the Arctic," IJERPH, MDPI, vol. 16(13), pages 1-14, July.
    14. Letizia Appolloni & Maria Vittoria Corazza & Daniela D’Alessandro, 2019. "The Pleasure of Walking: An Innovative Methodology to Assess Appropriate Walkable Performance in Urban Areas to Support Transport Planning," Sustainability, MDPI, vol. 11(12), pages 1-26, June.
    15. Jun-Hyun Kim & Chanam Lee & Wonmin Sohn, 2016. "Urban Natural Environments, Obesity, and Health-Related Quality of Life among Hispanic Children Living in Inner-City Neighborhoods," IJERPH, MDPI, vol. 13(1), pages 1-15, January.
    16. Park, Sungjin, 2008. "Defining, Measuring, and Evaluating Path Walkability, and Testing Its Impacts on Transit Users’ Mode Choice and Walking Distance to the Station," University of California Transportation Center, Working Papers qt0ct7c30p, University of California Transportation Center.
    17. Razieh Zandieh & Javier Martinez & Johannes Flacke & Phil Jones & Martin Van Maarseveen, 2016. "Older Adults’ Outdoor Walking: Inequalities in Neighbourhood Safety, Pedestrian Infrastructure and Aesthetics," IJERPH, MDPI, vol. 13(12), pages 1-24, November.
    18. Guillem Artigues & Sara Mateo & Maria Ramos & Elena Cabeza, 2020. "Validation of the Urban Walkability Perception Questionnaire (UWPQ) in the Balearic Islands," IJERPH, MDPI, vol. 17(18), pages 1-16, September.
    19. Zimu Jia & Long Chen & Jingjia Chen & Guowei Lyu & Ding Zhou & Ying Long, 2020. "Urban modeling for streets using vector cellular automata: Framework and its application in Beijing," Environment and Planning B, , vol. 47(8), pages 1418-1439, October.
    20. Mouhcine Guettabi & Abdul Munasib, 2014. "Urban Sprawl, Obesogenic Environment, And Child Weight," Journal of Regional Science, Wiley Blackwell, vol. 54(3), pages 378-401, June.
    21. Neatt, Kevin & Millward, Hugh & Spinney, Jamie, 2017. "Neighborhood walking densities: A multivariate analysis in Halifax, Canada," Journal of Transport Geography, Elsevier, vol. 61(C), pages 9-16.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:8:y:2011:i:8:p:3333-3350:d:13577. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.