Table 3.
Neighbourhood environmental attribute interaction effects on non-transport sitting and motorised transport in Hong Kong older adults
| Interaction effect | Non-transport sitting (min/day) | Motorised transport (min/day)* | Motorised transport (day/week)* | |||
|---|---|---|---|---|---|---|
| Environmental correlate: environmental moderator | eb (95% CI) | p Value | eb (95% CI) | p Value | eb (95% CI) | p Value |
| Entertainment destination diversity: signs of crime/disorder | ||||||
| Association at low levels of ‘signs of crime/disorder’ (score 0) | −34.0 (−64.2 to −3.7) | 0.029 | – | – | – | – |
| Association at high levels of ‘signs of crime/disorder’ (1 SD above average) | 5.5 (−8.1 to 19.2) | 0.415 | – | – | – | – |
| Food/grocery store prevalence: path obstructions | ||||||
| Association at low levels of ‘path obstructions’ (1 SD below average) | −1.3 (−2.1 to −0.4) | 0.005 | – | – | – | – |
| Association at high levels of ‘path obstructions’ (1 SD above average) | 1.3 (−0.5 to 3.2) | 0.148 | – | – | – | – |
| Sloping streets: park presence | ||||||
| Association in absence of parks | – | – | 1.018 (1.010 to 1.027) | <0.001 | 1.016 (1.015 to 1.019) | <0.001 |
| Association in presence of parks | – | – | 1.001 (0.993 to 1.009) | 0.880 | 1.005 (0.999 to 1.011) | 0.115 |
| Park presence: path obstructions | ||||||
| Association at low levels of ‘path obstructions’ (1 SD below average) | – | – | 0.571 (0.404 to 0.807) | 0.002 | 0.693 (0.489 to 0.983) | 0.040 |
| Association at high levels of ‘path obstructions’ (1 SD above average) | – | – | 1.848 (1.011 to 3.377) | 0.046 | 1.803 (1.268 to 2.566) | 0.001 |
| Food/grocery store prevalence: signs of crime/disorder | ||||||
| Association at low levels of ‘signs of crime/disorder’ (score 0) | – | – | 0.355 (0.348 to 0.361) | <0.001 | 0.985 (0.972 to 0.999) | 0.031 |
| Association at high levels of ‘signs of crime/disorder’ (1 SD above average) | – | – | 1.014 (0.993 to 1.036) | 0.201 | 1.009 (0.997 to 1.022) | 0.135 |
Results of single-destination-variable models.
*Results represent antilogarithms of regression coefficients (ie, eb). All models adjusted for age, gender, educational attainment, neighbourhood socioeconomic status, neighbourhood clustering effects, and significant neighbourhood safety and infrastructure attributes.
b, regression coefficient; eb, antilogarithm of regression coefficient.