152394 Built Environment Physical Activity and Quality of Life: Lessons from Bogota Colombia

Tuesday, November 6, 2007: 2:45 PM

Luis Gómez, MD, MPH , Health Division, FUNDACION FES SOCIAL, Bogota, Colombia
Olga Lucia Sarmiento, MD, MPH, PhD , Medical School, Universidad de Los Andes, Bogota, Colombia
Robert Cervero, PhD , Department of City and Regional Planning, University of California at Berkeley, Berkeley, CA
Diana Parra , Health Division, FUNDACION FES SOCIAL, Bogota, Colombia
Thomas L. Schmid, PhD , Centers for Disease Control and Prevention, Atlanta, GA
Michael Pratt, MD/PhD , Division of Nutrition and Physical Activity, Centers for Disease Control and Prevention, Atlanta, GA
Enrique Jacoby, MD MPH , Regional Advisor, Healthy Eating & Active Living, Pan American Health Organization, Washington D.C., DC
Andrea Neiman, PhD , Centers for Disease Control and Prevention, Atlanta, GA
Janeth Mosquera , Health Division, FUNDACION FES SOCIAL, Bogota, Colombia
Candace Rutt, PhD , Division of Nutrition and Physical Activity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA
Background: Despite the importance of Built Environment (BE) characteristics and physical activity (PA) on individual wellbeing, studies exploring the association between health-related quality of life with (HR-QOL) with PA and BE characteristics are very limited especially in developing countries. Methods: A cross-sectional survey of 1315 adults from Bogotá, PA was measured using an adapted version of IPAQ and validated with accelerometers. BE characteristics were obtained using GIS and included variables from the dimensions of density, diversity, design, and distance to public transportation. Hierarchical modeling was used in the analysis. Results: Proportion of park land (0R 1.81), slope of the environment (OR .67) and perceptions of safety (OR 1.43) were significantly associated with leisure time physical activity. Meeting physical activity recommendations for leisure time (p =.001), biking for transportation ( p=0.001) and participating in the Ciclovia (a program were main streets are closed on holidays for cyclists and pedestrians during 5 hours) (p=0.001) were positively associated with HR-QOL. Likewise, a percentage of residential houses higher than 46% ( p=0.02), an entropy (mix of the land) between 0.4-0.6 ( p=0.001) and parks score ( p=0.03) were positively associated with HR-QOL. Conclusions: In Bogotá, PA and BE characteristics are associated with PA and HR-QOL. These findings suggest that PA programs and BE factors should be taken into consideration when guiding policies and planning and implementing programs aimed at improving the well being of the citizens of Bogotá.

Learning Objectives:
1. Participants will be able to describe the relationships between access to recreational space and level of leisure time PA 2. Participants will be able to describe associations between quality of life, access to recreational space and level of PA 3. Participants will be able to describe policy changes in Bogota that have influenced levels of leisure time PA

Keywords: Physical Activity, Quality of Life

Presenting author's disclosure statement:

Any relevant financial relationships? No
Any institutionally-contracted trials related to this submission?

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.