Related Experiment Video
Updated: May 13, 2026

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
Published on: March 7, 2019
Associations between body mass index and park proximity, size, cleanliness, and recreational facilities
Andrew Rundle1, James Quinn, Gina Lovasi
1Department of Epidemiology, Mailman School of Public Health, 722 West 168th Street, Room730, New York, NY 10032, USA. agr3@columbia.edu
Purpose:
To determine whether body mass index (BMI) is associated with proximity to neighborhood parks, the size of the parks, their cleanliness, and the availability of recreational facilities in the parks.
Design:
Cross-sectional.
Setting:
New York City.
Subjects:
Adults (13,102) were recruited from 2000 to 2002 (median age 45 years, 36% male).
Measures:
Anthropometric and sociodemographic data from study subjects were linked to Department of Parks & Recreation data on park space, cleanliness, and facilities. Neighborhood-level sociodemographic and park proximity metrics were created for half-mile-radius circular buffers around each subject's residence. Proximity to park space was measured as the proportion of the subject's neighborhood buffer area that was total park space, large park space (a park > 6 acres) and small park space (a park ≤ 6 acres). Analysis. Hierarchical linear models were used to determine whether neighborhood park metrics were associated with BMI.
Results:
Higher proximity to large park space was significantly associated with lower BMI (beta = -1.69, 95% confidence interval = -2.76, -.63). Across the population distribution of proximity to large park space, compared to subjects living in neighborhoods at the 10th percentile of the distribution, the covariate-adjusted average BMI was estimated to be .35 kg/m lower for those living in neighborhoods at the 90th percentile. The proportion of neighborhood area that was small park space was not associated with BMI, nor was park cleanliness or the availability of recreational facilities.
Conclusion:
Neighborhood proximity to large park spaces is modestly associated with lower BMI in a diverse urban population.
Related Concept Videos
Obesity
Factors Influencing Attraction I: Proximity
Factors Influencing Attraction II: Physical Attraction
Coefficient of Correlation
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the strength of the linear...
Dimensions of Health and Illness
Regression Toward the Mean

