Skip to main content
. 2014 Oct 13;3(6):307–313. doi: 10.15171/ijhpm.2014.100

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.