Skip to main content
. 2016 Jun 7;13(6):569. doi: 10.3390/ijerph13060569

Table 2.

Multivariable model for associations between social environment factors and MVPA, and interactions with neighborhood walkability and income.

Social Environment Factor Main Effect Walkability Main Effect Income (Ref. = Low) Main Effect Soc. Env. Factor Income × Walkability Income × Soc. Env. Factor Walkability × Soc. Env. Factor Walkability × Income × Soc. Env. Factor
B ± SE B ± SE B ± SE B ± SE B ± SE B ± SE B ± SE
2.31 ± 1.70 0.43 ± 0.75 −1.82 ± 1.08 ¥
Interactions neighbors 0.20 ± 0.46 −0.65 ± 0.62 −0.18 ± 0.68 0.96 ± 0.92
Social trust &cohesion 0.67 ± 0.61 −0.24 ± 0.89 −1.71 ± 0.85 * 2.20 ± 1.21 ¥

B = regression coefficient; SE = standard error; * p < 0.05; ¥ p < 0.10. The outcome variable (MVPA) was square root transformed; main effects, two-way and three-way interactions were calculated for each social environmental factor, adj. for number of valid accelerometer wearing days, number of accelerometer hours on valid days, gender, age, living situation, residential self-selection, car ownership and educational attainment.