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. 2005 May 14;2(2):109–119. doi: 10.1007/s10433-005-0028-3

Table 4.

Summary of the predicting factors identified by logistic regression analysis for reasons for attachment to community (n=387)a

Community H1 Historical attachment H4 Social integration Community H2Historical attachment H3Social support H5Appropriateness of the environment H6Aesthetic qualities Community H7Relocation constraints
Model 1 Model 2 Model 1 Model 2 Model 1 Model 2 Model 1 Model 2 Model 1 Model 2 Model 1 Model 2 Model 1 Model 2
Native community 1.84 (1.16–2.93)* 1.71 (1.05–2.76)* 1.78 (1.12–2.84)* 1.81 (1.11–2.96)* Retirement community n.s. n.s. n.s. n.s. 2.41 (1.13–5.16)* 2.68 (1.18–6.05)* 2.21 (1.07–4.56)* n.s. Deprived community n.s. n.s.
Age 0.95 (0.91–0.99)* Marital status *
-2LLR 473.84 463.003 466.593 447.416 -2LLR 480.75 467.79 305.22 292.39 206.185 196.609 225.956 207.396 Married 1.00
DF 1 14 1 14 DF 1 14 1 14 1 14 1 14 Never married n.s.
p 0.008 0.22 0.022 0.032 p 0.793 0.524 0.653 0.524 0.027 0.418 0.037 0.062 Widowed n.s.
Divorced/separated 8.01 (1.6–39.96)**
-2LLR 156.74 135.39
DF 1 14
p 0.397 0.077

aStatistical significance of variables in the model: n.s., not significant; *, p<0.05; **, p<0.005. Numbers shown represent odds ratio (95% CI), adjusted for the other variables in model 2 (of which only the statistically significant variables are displayed here)