Table 2 . Multivariate odds ratio (95% CI) for never visiting an eye care provider in different logistic regression models, Shahroud, Iran, 2009 .
Independent variables | Adjusted odds ratio (95% CI) | ||||
Model 1 a | Model 2 b | Model 3 c | Model 4 d | ||
Predisposing variables | Age (year) | 0.95 (0.94–0.96) | 0.94 (0.93–0.96) | ||
Education (year) | 0.91 (0.89–0.93) | 0.94 (0.92–0.96) | |||
Gender | |||||
Men | 1 | 1 | |||
Women | 1.80 (1.51–2.13) | 1.79 (1.51–2.14) | |||
Enabling variables | Economic Status | ||||
High | 1 | 1 | |||
Moderate | 1.97 (1.62–2.39) | 1.81 (1.48–2.21) | |||
Low | 2.74 (2.24–3.36 | 2.33 (1.90–2.87) | |||
Insurance Status | |||||
Insured | 1 | 1 | |||
Not Insured | 2.14 (1.62–2.83) | 1.93 (1.45–2.58) | |||
Need variable | Presenting vision | ||||
≤0.30 LogMAR | 1 | 1 | 1 | 1 | |
>0.30 LogMAR | 1.67 (1.28–2.17) | 1.59 (1.21–2.11) | 1.31 (0.99–1.73) | 1.41 (1.05–1.90) |
CI= Confidence Interval; a= Include only need variable as an Univariate model; b= Include need and predisposing variables; c= Include need and enabling variables d= Include need, predisposing and enabling variables.