Table 5

Independent associations of multiple neighbourhood environmental attributes with depressive symptoms

VariablesAny versus no depressive symptoms (n=909)Number of non-zero depressive symptoms (n=335)
OR (95% CI)P valuese b (95% CI)P values
Environmental attribute main effects
 Connectivity (EA)1.036 (1.011 to 1.061)**0.0040.999 (0.990 to 1.008)0.799
 Composite destination index†1.013 (0.966 to 1.061)0.594
 Public transport density – 800 m buffer (GIS)– 1.006 (1.000 to 1.013)0.067
 Prevalence of public transport stops (EA)1.054 (1.002 to 1.109)*0.043
 Presence of people (EA)1.003 (0.992 to 1.015)0.559
Interacting effects of living arrangement with environmental attribute‡
 Connectivity (EA)
 0.05 level: ≥41.2 points1.223 (1.001 to 1.494)*0.050
 0.01 level: ≥45.2 points1.308 (1.066 to 1.604)**0.010
Composite destination index†
 0.001 level: ≤−4.0 points6.604 (2.152 to 20.265)***0.001
 0.01 level: ≤0.3 points4.643 (1.449 to 14.875)**0.010
 0.05 level: ≤3.6 points3.542 (1.011 to 12.411)*0.050
Public transport density – 800 m buffer (GIS)
 0.05 level: ≥9.2 transit points/km2 0.532 (0.284 to 1.000)*0.050
 0.01 level: ≥22.5 transit points/km2 0.434 (0.230 to 0.819)**0.010
 Presence of people (EA):
 0.01 level: ≤56.0 points1.739 (1.142 to 2.647)**0.010
 0.05 level: ≤65.2 points1.474 (1.001 to 2.170)*0.050
  • Notes: only significant (P<0.05) interaction terms between living arrangement and specific neighbourhood environmental attributes were included in the regression models.

  • *P<0.05.

  • **P<0.01.

  • ***P<0.001.

  • † The sum of z-scores of single destination-related variables that interacted with living arrangement in the single-environmental variable models, including civic and institutional density – 800 m buffer (GIS), retail density – 800 m buffer (GIS), food-related destination density – 800 m buffer (GIS), prevalence of eating outlets (EA), public transport density – 800 m buffer (GIS) and prevalence of health clinics/service (EA).

  • ‡OR or e b estimates were calculated at region-of-significance threshold values of environmental attribute; living with others as reference group. e b is interpreted as the proportional increase (if >1) or decrease (if <1) in depressive symptoms associated with a 1-unit increase in the environmental attribute. All estimates adjusted for age, sex, educational attainment, household with car, marital status, housing type, area-level socioeconomic status, type of recruitment centre and number of current diagnosed health problems. The interacting effects of living arrangement with pollution, crowdedness and the main-effect of pedestrian infrastructure (significant in the single environmental variable models) were removed from the full model because they were not statistically significant at a 0.05 probability level.

  • –, not included in regression model because the specific main and/or interaction effect was not statistically significant; EA, environmental audits; e b , antilogarithm of regression coefficient; GIS, Geographic Information Systems.