Table 3

Associations between change in house infrastructure function (overall SFS), change in hygienic condition (overall SCS) and change in crowding (PPB) using multinomial logit regression models

Dependent variableRRR (95% CI)
SFS change in overall house
SFS deterioration two or more
 SCS limited or no change1.0
 SCS deterioration two or more4.79 (1.66 to 13.8)
 SCS improvement two or more1.98 (0.39 to 10.1)
SFS improvement two or more
 SCS limited or no change1.0
 SCS deterioration two or more0.63 (0.20 to 1.96)
 SCS improvement two or more3.93 (1.62 to 9.54)
Pseudo adjusted R2*8.1%
SFS change in overall house
SFS deterioration two or more
 PPB limited or no change1.0
 PPB≥1 decrease0.60 (0.15 to 2.33)
 PPB≥1 increase0.86 (0.26 to 2.89)
SFS improvement two or more
 PPB limited or no change1.0
 PPB≥1 decrease2.37 (0.99 to 5.68)
 PPB≥1 increase0.46 (0.12 to 1.81)
Pseudo adjusted R2*1.1%
Change in PPB
PPB≥1 decrease
 SCS limited or no change1.0
 SCS deterioration two or more0.51 (0.17 to 1.58)
 SCS improvement two or more1.01 (0.38 to 2.71)
PPB≥1 increase
 SCS limited or no change1.0
 SCS deterioration two or more1.39 (0.48 to 4.00)
 SCS improvement two or more1.19 (0.35 to 4.12)
Pseudo adjusted R2*1.2%
  • * Reference category (dependent and independent variables) for these models is limited or no change (for SFS and SCS limited or no change=change of <2 points; and for PPB limited or no change=change of <1 PPB).

  • PPB, persons per bedroom; RRR, relative risk ratios; SCS, Surveyor Condition Score; SFS, Surveyor Function Score.

  • ORs for which the CI excludes 1 are shown in bold.