American Journal of Preventive Medicine
Volume 36, Issue 6 , Pages 484-490, June 2009

Neighborhood Environments and Physical Activity Among Adults in 11 Countries

  • James F. Sallis, PhD

      Affiliations

    • Active Living Research, San Diego State University, San Diego, California
    • Corresponding Author InformationAddress correspondence and reprint requests to: James F. Sallis, PhD, Active Living Research, Department of Psychology, San Diego State University, 3900 Fifth Avenue, Suite 310, San Diego CA 92103
  • ,
  • Heather R. Bowles, PhD

      Affiliations

    • Centre for Physical Activity and Health, University of Sydney, Sydney, Australia
  • ,
  • Adrian Bauman, MBBS, PhD

      Affiliations

    • Centre for Physical Activity and Health, University of Sydney, Sydney, Australia
  • ,
  • Barbara E. Ainsworth, PhD, MPH

      Affiliations

    • Department of Exercise and Wellness, Arizona State University, Phoenix, Arizona
  • ,
  • Fiona C. Bull, PhD

      Affiliations

    • School of Sport and Exercise Sciences, Loughborough University, Leicestershire, UK
  • ,
  • Cora L. Craig, MSc

      Affiliations

    • Canadian Fitness and Lifestyle Research Institute, Ottawa, Canada
  • ,
  • Michael Sjöström, MD, PhD

      Affiliations

    • Department of Biosciences and Nutrition at Novum, Karolinska Institute, Stockholm, Sweden
  • ,
  • Ilse De Bourdeaudhuij, PhD

      Affiliations

    • Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium
  • ,
  • Johan Lefevre, PhD

      Affiliations

    • Department of Kinesiology and Rehabilitation Sciences, Katholic University, Leuven, Belgium
  • ,
  • Victor Matsudo, MD

      Affiliations

    • CELAFISCS, Sao Paulo, Brazil
  • ,
  • Sandra Matsudo, MD

      Affiliations

    • CELAFISCS, Sao Paulo, Brazil
  • ,
  • Duncan J. Macfarlane, Dphil

      Affiliations

    • Institute of Human Performance, The University of Hong Kong, Hong Kong, China
  • ,
  • Luis Fernando Gomez, MD, MPH

      Affiliations

    • Foundation FES Social, Bogota, Colombia
  • ,
  • Shigeru Inoue, MD

      Affiliations

    • Department of Preventive Medicine and Public Health, Tokyo Medical University, Tokyo, Japan
  • ,
  • Norio Murase, MD

      Affiliations

    • Department of Preventive Medicine and Public Health, Tokyo Medical University, Tokyo, Japan
  • ,
  • Vida Volbekiene, PhD

      Affiliations

    • Department of Sport Science, Lithuanian Academy of Physical Education, Kaunas, Lithuania
  • ,
  • Grant McLean, BA

      Affiliations

    • Sport and Recreation New Zealand, Wellington, New Zealand
  • ,
  • Harriette Carr, MBChB, MPH

      Affiliations

    • Sport and Recreation New Zealand, Wellington, New Zealand
  • ,
  • Lena Klasson Heggebo, PhD

      Affiliations

    • Department for Physical Activity, Directorate for Health and Social Affairs, Norwegian School of Sport Sciences, Oslo, Norway
    • Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
  • ,
  • Heidi Tomten, PhD

      Affiliations

    • Department for Physical Activity, Directorate for Health and Social Affairs, Norwegian School of Sport Sciences, Oslo, Norway
  • ,
  • Patrick Bergman, MSc

      Affiliations

    • Department of Biosciences and Nutrition at Novum, Karolinska Institute, Stockholm, Sweden

Background

Understanding environmental correlates of physical activity can inform policy changes. Surveys were conducted in 11 countries using the same self-report environmental variables and the International Physical Activity Questionnaire, allowing analyses with pooled data.

Methods

The participating countries were Belgium, Brazil, Canada, Colombia, China (Hong Kong), Japan, Lithuania, New Zealand, Norway, Sweden, and the U.S., with a combined sample of 11,541 adults living in cities. Samples were reasonably representative, and seasons of data collection were comparable. Participants indicated whether seven environmental attributes were present in their neighborhood. Outcomes were measures of whether health-related guidelines for physical activity were met. Data were collected in 2002–2003 and analyzed in 2007. Logistic regression analyses evaluated associations of physical activity with environmental attributes, adjusted for age, gender, and clustering within country.

Results

Five of seven environmental variables were significantly related to meeting physical activity guidelines, ranging from access to low-cost recreation facilities (OR=1.16) to sidewalks on most streets (OR=1.47). A graded association was observed, with the most activity–supportive neighborhoods having 100% higher rates of sufficient physical activity compared to those with no supportive attributes.

Conclusions

Results suggest neighborhoods built to support physical activity have a strong potential to contribute to increased physical activity. Designing neighborhoods to support physical activity can now be defined as an international public health issue.

 

 The full text of this article is availabe via AJPM Online at www.ajpm-online.net.

PII: S0749-3797(09)00145-7

doi:10.1016/j.amepre.2009.01.031

American Journal of Preventive Medicine
Volume 36, Issue 6 , Pages 484-490, June 2009