Statistical analyses
REGRESSION
An intent-to-treat approach analyzed participants by their randomized assignment to components. Generalized linear mixed models were used to examine main and joint effects of individual-level neighborhood walkability, intervention components (goal type, reinforcement timing), and phase (baseline vs. intervention). Further model specification was guided by the distribution of outcome data. MVPA bout minutes were positively skewed with a relatively large number of zero values. Because of the inflated number of daily zero-minute values over the year-long intervention, we selected a two-part hurdle modeling approach over zero-inflation models, with zero values reflecting physical inactivity during accelerometer wear time. Accordingly, each analysis comprised two parts: (1) a mixed effects binary logit model to estimate probability of engaging in any (versus no) MVPA each day, and (2) a mixed effects negative binomial regression model to estimate MVPA bout minutes/day on days participants were active.Models were estimated in R with the glmmTMB package [