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Table 2 Bivariate analysis of dependent and independent variables

From: Utilization of breast cancer screening in Kenya: what are the determinants?

 OR (95% CIs)
Level of education
 Higher education1.00
 Secondary education0.61 (0.56, 0.66)***
 Primary education0.55 (0.51, 0.59)***
 No education0.34 (0.31, 0.38)***
Marital status
 Currently married1.00
 Never married0.74 (0.70, 0.78)***
 Formerly married1.01 (0.95, 1.08)
Province of residence
 North Eastern1.00
 Coast1.65 (1.42, 1.91)***
 Eastern1.86 (1.61, 2.14)***
 Central3.24 (2.79, 3.75)***
 Rift Valley1.91 (1.66, 2.20)***
 Western1.75 (1.50, 2.03)***
 Nyanza1.65 (1.42, 1.91)***
 Nairobi2.63 (2.20, 3.13)***
Urban-rural residence
 Urban1.00
 Rural0.76 (0.73, 0.79)***
Employment status
 Employed1.00
 Unemployed0.69 (0.66, 0.72)***
Household wealth quintiles
 Richest1.00
 Richer0.81 (0.76, 0.86)***
 Middle0.69 (0.65, 0.74)***
 Poorer0.62 (0.58, 0.66)***
 Poorest0.43 (0.41, 0.48)***
Insurance status
 Insured1.00
 Uninsured0.55 (0.52, 0.58)***
Age of respondents
 45–491.00
 40–441.03 (0.93, 1.13)
 35–390.99 (0.90, 1.08)
 30–341.00 (0.92, 1.10)
 25–290.98 (0.90, 1.07)
 20–240.83 (0.76, 0.91)***
 15–190.55 (0.50, 0.60)***
  1. ***p < 0.001; OR for odds ratio; 95% CIs = 95% confidence intervals