title: Imputational modeling of spatial context and social environmental predictors of walking in an underserved community: the PATH trial.
abstract: BACKGROUND
  This study examined imputational modeling effects of spatial proximity and social factors of walking in African American adults.
  
  
  OBJECTIVE
  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.
authors.affiliation: University of South Carolina, Psychology Department, Barnwell College, Columbia, SC 29208, United States. wilsondk@mailbox.sc.edu
authors.forename: Dawn K
authors.initials: DK
authors.lastname: Wilson
authors.forename: Caitlyn
authors.initials: C
authors.lastname: Ellerbe
authors.forename: Andrew B
authors.initials: AB
authors.lastname: Lawson
authors.forename: Kassandra A
authors.initials: KA
authors.lastname: Alia
authors.forename: Duncan C
authors.initials: DC
authors.lastname: Meyers
authors.forename: Sandra M
authors.initials: SM
authors.lastname: Coulon
authors.forename: Hannah G
authors.initials: HG
authors.lastname: Lawman
mesh_terms: D001741:Black or African American; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009043:Motor Activity; D012111:Residence Characteristics; D012931:Social Environment; D062206:Spatial Analysis; D035862:Vulnerable Populations; D016138:Walking / Q000706:statistics & numerical data*