Full metadata
Title
Patterns of neighborhood environment attributes related to physical activity across 11 countries: a latent class analysis
Description
Background
Neighborhood environment studies of physical activity (PA) have been mainly single-country focused. The International Prevalence Study (IPS) presented a rare opportunity to examine neighborhood features across countries. The purpose of this analysis was to: 1) detect international neighborhood typologies based on participants’ response patterns to an environment survey and 2) to estimate associations between neighborhood environment patterns and PA.
Methods
A Latent Class Analysis (LCA) was conducted on pooled IPS adults (N=11,541) aged 18 to 64 years old (mean=37.5 ±12.8 yrs; 55.6% women) from 11 countries including Belgium, Brazil, Canada, Colombia, Hong Kong, Japan, Lithuania, New Zealand, Norway, Sweden, and the U.S. This subset used the Physical Activity Neighborhood Environment Survey (PANES) that briefly assessed 7 attributes within 10–15 minutes walk of participants’ residences, including residential density, access to shops/services, recreational facilities, public transit facilities, presence of sidewalks and bike paths, and personal safety. LCA derived meaningful subgroups from participants’ response patterns to PANES items, and participants were assigned to neighborhood types. The validated short-form International Physical Activity Questionnaire (IPAQ) measured likelihood of meeting the 150 minutes/week PA guideline. To validate derived classes, meeting the guideline either by walking or total PA was regressed on neighborhood types using a weighted generalized linear regression model, adjusting for gender, age and country.
Results
A 5-subgroup solution fitted the dataset and was interpretable. Neighborhood types were labeled, “Overall Activity Supportive (52% of sample)”, “High Walkable and Unsafe with Few Recreation Facilities (16%)”, “Safe with Active Transport Facilities (12%)”, “Transit and Shops Dense with Few Amenities (15%)”, and “Safe but Activity Unsupportive (5%)”. Country representation differed by type (e.g., U.S. disproportionally represented “Safe but Activity Unsupportive”). Compared to the Safe but Activity Unsupportive, two types showed greater odds of meeting PA guideline for walking outcome (High Walkable and Unsafe with Few Recreation Facilities, OR= 2.26 (95% CI 1.18-4.31); Overall Activity Supportive, OR= 1.90 (95% CI 1.13-3.21). Significant but smaller odds ratios were also found for total PA.
Conclusions
Meaningful neighborhood patterns generalized across countries and explained practical differences in PA. These observational results support WHO/UN recommendations for programs and policies targeted to improve features of the neighborhood environment for PA.
Neighborhood environment studies of physical activity (PA) have been mainly single-country focused. The International Prevalence Study (IPS) presented a rare opportunity to examine neighborhood features across countries. The purpose of this analysis was to: 1) detect international neighborhood typologies based on participants’ response patterns to an environment survey and 2) to estimate associations between neighborhood environment patterns and PA.
Methods
A Latent Class Analysis (LCA) was conducted on pooled IPS adults (N=11,541) aged 18 to 64 years old (mean=37.5 ±12.8 yrs; 55.6% women) from 11 countries including Belgium, Brazil, Canada, Colombia, Hong Kong, Japan, Lithuania, New Zealand, Norway, Sweden, and the U.S. This subset used the Physical Activity Neighborhood Environment Survey (PANES) that briefly assessed 7 attributes within 10–15 minutes walk of participants’ residences, including residential density, access to shops/services, recreational facilities, public transit facilities, presence of sidewalks and bike paths, and personal safety. LCA derived meaningful subgroups from participants’ response patterns to PANES items, and participants were assigned to neighborhood types. The validated short-form International Physical Activity Questionnaire (IPAQ) measured likelihood of meeting the 150 minutes/week PA guideline. To validate derived classes, meeting the guideline either by walking or total PA was regressed on neighborhood types using a weighted generalized linear regression model, adjusting for gender, age and country.
Results
A 5-subgroup solution fitted the dataset and was interpretable. Neighborhood types were labeled, “Overall Activity Supportive (52% of sample)”, “High Walkable and Unsafe with Few Recreation Facilities (16%)”, “Safe with Active Transport Facilities (12%)”, “Transit and Shops Dense with Few Amenities (15%)”, and “Safe but Activity Unsupportive (5%)”. Country representation differed by type (e.g., U.S. disproportionally represented “Safe but Activity Unsupportive”). Compared to the Safe but Activity Unsupportive, two types showed greater odds of meeting PA guideline for walking outcome (High Walkable and Unsafe with Few Recreation Facilities, OR= 2.26 (95% CI 1.18-4.31); Overall Activity Supportive, OR= 1.90 (95% CI 1.13-3.21). Significant but smaller odds ratios were also found for total PA.
Conclusions
Meaningful neighborhood patterns generalized across countries and explained practical differences in PA. These observational results support WHO/UN recommendations for programs and policies targeted to improve features of the neighborhood environment for PA.
Date Created
2013-03-07
Contributors
- Adams, Marc (Author)
- Ding, Ding (Author)
- Sallis, James F. (Author)
- Bowles, Heather R. (Author)
- Ainsworth, Barbara (Author)
- Bergman, Patrick (Author)
- Bull, Fiona C. (Author)
- Carr, Harriette (Author)
- Craig, Cora L. (Author)
- De Bourdeaudhuij, Ilse (Author)
- Fernando Gomez, Luis (Author)
- Hagstromer, Maria (Author)
- Klasson-Heggebo, Lena (Author)
- Inoue, Shigeru (Author)
- Lefevre, Johan (Author)
- Macfarlane, Duncan J. (Author)
- Matsudo, Sandra (Author)
- Matsudo, Victor (Author)
- McLean, Grant (Author)
- Murase, Norio (Author)
- Sjostrom, Michael (Author)
- Tomten, Heidi (Author)
- Volbekiene, Vida (Author)
- Bauman, Adrian (Author)
- College of Health Solutions (Contributor)
- School of Nutrition and Health Promotion (Contributor)
Resource Type
Extent
11 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Identifier
Digital object identifier: 10.1186/1479-5868-10-34
Identifier Type
International standard serial number
Identifier Value
1479-5868
Series
INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY
Handle
https://hdl.handle.net/2286/R.I.41789
Preferred Citation
Adams, M. A., Ding, D., Sallis, J. F., Bowles, H. R., Ainsworth, B. E., Bergman, P., . . . Bauman, A. (2013). Patterns of neighborhood environment attributes related to physical activity across 11 countries: a latent class analysis. International Journal of Behavioral Nutrition and Physical Activity, 10(1), 34. doi:10.1186/1479-5868-10-34
Level of coding
minimal
Cataloging Standards
Note
The electronic version of this article is the complete one and can be found online at: https://ijbnpa.biomedcentral.com/articles/10.1186/1479-5868-10-34
System Created
- 2017-03-17 09:41:24
System Modified
- 2021-08-16 02:23:30
- 3 years 3 months ago
Additional Formats