Related Experiment Video
Updated: May 13, 2026
Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
Published on: February 8, 2019
Imputational modeling of spatial context and social environmental predictors of walking in an underserved community:
Dawn K Wilson1, Caitlyn Ellerbe, Andrew B Lawson
1University of South Carolina, Psychology Department, Barnwell College, Columbia, SC 29208, United States. wilsondk@mailbox.sc.edu
Background:
This study examined imputational modeling effects of spatial proximity and social factors of walking in African American adults.
Purpose:
Models were compared that examined relationships between household proximity to a walking trail and social factors in determining walking status.
Methods:
Participants (N=133; 66% female; mean age=55 years) were recruited to a police-supported walking and social marketing intervention. Bayesian modeling was used to identify predictors of walking at 12 months.
Results:
Sensitivity analysis using different imputation approaches, and spatial contextual effects, were compared. All the imputation methods showed social life and income were significant predictors of walking, however, the complete data approach was the best model indicating Age (1.04, 95% OR: 1.00, 1.08), Social Life (0.83, 95% OR: 0.69, 0.98) and Income <$10,000 (0.10, 95% OR: 0.01, 0.97) were all predictors of walking.
Conclusions:
The complete data approach was the best model of predictors of walking in African Americans.
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01:21Impact of Social Context on Individuals
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