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. 2016 Jan 19;11(1):e0147128. doi: 10.1371/journal.pone.0147128

Table 3. Associations of psychosocial and environmental variables with walking.

School Other destinations
Logit model: OR of being non-participanta (95% CI) Negative binomial model: min/week (95% CI) Logit model: OR of being non-participantb (95% CI) Negative binomial model: min/week (95% CI)
Socio-demographic
SES (ref: low) 0.60 (0.45, 0.81)***
education (ref: vocational) 1.72 (0.97, 3.05)
Psychosocial
self-efficacy 1.13 (0.91, 1.40) 1.22 (1.02, 1.45)*
social norm 1.22 (0.99, 1.50) 0.85 (0.76, 0.95)** 1.18 (0.99, 1.40)
social modelling 0.71 (0.55, 0.91)** 0.81 (0.66, 1.01)
social support 1.09 (0.91, 1.29)
perceived benefits 0.92 (0.71, 1.19)
Environmental
residential density 0.79 (0.65, 0.96)*
land use mix access 0.88 (0.68, 1.13)
walking and cycling facilities 1.40 (0.86, 2.28)
aesthetics 1.29 (0.91, 1.81)
facilities at school 2.60 (0.82, 8.26) 0.57 (0.31, 1.05)
distance 0.99 (0.97, 1.01)

OR = odds ratio; CI = confidence interval;

* p<0.05,

** p<0.01,

*** p<0.001.

a OR of being non-participant in walking to school;

b OR of being non-participant in walking to other destinations

Socio-demographic variables, psychosocial variables, and environmental variables for which at least a trend towards a significant relationship (p<0.10) was observed in the first step were included in this final model.

ZINB models evaluate the correlates of the odds of non-participation in walking to school or to other destinations (logit model). Simultaneously, among participants who did walk to school or to other destinations, ZINB models evaluate the correlates of weekly minutes walking to school or to other destinations (negative binomial model). Negative binomial model parameters represent the proportional increase in minutes/week walking to school or to other destinations with a one-unit increase in the predictor.