Table 3. Association of physical environmental neighbourhood factors with domain-specific sedentary behaviours.
| Total sedentary behaviour | Transport-related sedentary behaviour | Work-related sedentary behaviour | Television time | Computer time | Other leisure-time sedentary behaviour | ||
|---|---|---|---|---|---|---|---|
| Gaussian model | Gamma model | Gaussian model | Gamma model | Gamma model | Logistic model1 | Gamma model2 | |
| b (S.E.) p | b (S.E.) p | b (S.E.) p | b (S.E.) p | b (S.E.) p | OR (95% C.I.) | Exp b (95% C.I.) | |
| Objectively measured physical environment | |||||||
| Traffic safety | -0.82 (1.52) 0.59 | -0.59 (0.71) 0.40 | -2.35 (1.62) 0.15 | 0.43 (0.86) 0.61 | 0.46 (0.87) 0.60 | 0.64 (0.06, 1.97) | 0.99 (0.08, 11.80) |
| Aesthetics | 0.23 (0.71) 0.75 | 0.29 (0.32) 0.36 | 0.13 (0.71) 0.86 | 0.18 (0.31) 0.56 | 0.01 (0.41) 0.98 | 0.12 (0.03, 0.41) | 1.00 (0.32, 3.11) |
| Destinations | 8.01 (5.22) 0.13 | 1.47 (2.34) 0.53 | 10.71 (5.31) 0.04 | -3.98 (2.53) 0.11 | 0.58 (3.14) 0.06 | 26.78 (0.00, 12.48) | 1.00 (0.00, 4252.58) |
| Functionality | -0.41 (1.38) 0.77 | 0.14 (0.67) 0.83 | 0.43 (1.49) 0.77 | -0.20 (0.81) 0.80 | -0.69 (0.80) 0.39 | 0.34 (0.04, 1.10) | 1.00 (0.08, 11.80) |
| Perceived physical environment | |||||||
| Safety | -0.13 (0.17) 0.45 | -0.08 (0.06) 0.17 | 0.03 (0.16) 0.86 | -0.04 (0.09) 0.69 | -0.05 (0.08) 0.59 | 0.93 (0.77, 1.22) | 1.04 (0.81, 1.34) |
| Aesthetics | 0.19 (0.10) 0.05 | -0.03 (0.04) 0.37 | 0.20 (0.10) 0.04 | -0.10 (0.06) 0.10 | 0.02 (0.05) 0.65 | 1.05 (0.90, 1.24) | 0.98 (0.84, 1.14) |
| Destinations | -0.02 (0.08) 0.81 | -0.02 (0.03) 0.57 | -0.04 (0.07) 0.50 | -0.01 (0.05) 0.77 | 0.02 (0.04) 0.60 | 0.83 (0.74, 0.93) | 1.00 (0.89, 1.12) |
| Functionality | 0.01 (0.16) 0.93 | 0.09 (0.05) 0.09 | -0.14 (0.15) 0.35 | 0.04 (0.09) 0.67 | 0.00 (0.08) 0.96 | 1.30 (1.00, 1.67) | 0.97 (0.77, 1.22) |
Significant values are indicated in bold.
OR = odds ratio, 95% C.I. = confidence interval at 95%, S.E. = standard error
1 The logistic model estimates the associations between the independent variables and the odds of having time spent sedentary during other leisure activities in the last 7 days.
2 The gamma model estimates the associations between the independent variables and the amount of other leisure-time sedentary behaviours in the last 7 days.
All analyses were adjusted for age, gender, educational level, BMI, neighbourhood type and country.
All b-values represent the increase in (domain-specific) sedentary behaviours in hours/day, with a one-unit increase in the predictor.
Exponent b-values represent the proportional increase in (domain-specific) sedentary behaviours in hours/day, with a one-unit increase in the predictor.