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Table 3 Multivariate analysis of ‘ever tested for breast cancer’ among women in Kenya

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

 Model 1Model 2Model 3
 OR (95% CIs)OR (95% CIs)OR (95% CIs)
Level of education
 Higher education1.001.001.00
 Secondary education0.64 (0.59, 0.70)***0.73 (0.67, 0.80)***0.77 (0.70, 0.84)***
 Primary education0.56 (0.51, 0.60)***0.69 (0.63, 0.76)***0.72 (0.65, 0.78)***
 No education0.39 (0.34, 0.43)***0.55 (0.48, 0.62)***0.55 (0.48, 0.62)***
Marital status
 Currently married1.001.001.00
 Never married0.68 (0.64, 0.72)***0.70 (0.66, 0.74)***0.80 (0.74, 0.86)***
 Formerly married0.99 (0.93, 1.07)1.03 (0.96, 1.10)1.02 (0.95, 1.10)
Province of residence
 North East1.001.001.00
 Coast1.34 (1.13, 1.60)***1.40 (1.17, 1.68)***1.40 (1.16, 1.68)***
 Eastern1.47 (1.24, 1.75)***1.48 (1.24, 1.78)***1.49 (1.24, 1.79)***
 Central2.40 (2.01, 2.87)***2.33 (1.94, 2.80)***2.34 (1.94, 2.82)***
 Rift Valley1.52 (1.28, 1.80)***1.55 (1.30, 1.85)***1.57 (1.31, 1.87)***
 Western1.39 (1.16, 1.66)***1.45 (1.21, 1.75)***1.48 (1.22, 1.79)***
 Nyanza1.22 (1.02, 1.46)*1.26 (1.05, 1.51)*1.28 (1.06, 1.54)**
 Nairobi1.63 (1.33, 1.99)***1.61 (1.31, 1.99)***1.61 (1.31, 1.99)***
Place of residence
 Urban1.001.001.00
 Rural0.83 (0.79, 0.89)***0.89 (0.85, 0.94)***0.89 (0.84, 0.94)***
Employment status
 Employed1.001.001.00
 Unemployed0.85 (0.81, 0.89)***0.88 (0.84, 0.93)***0.93 (0.88, 0.99)*
Household wealth quintiles
 Richest 1.001.00
 Richer 0.94 (0.88, 1.01)0.95 (0.88, 1.02)
 Middle 0.88 (0.81, 0.95)**0.88 (0.82, 0.96)**
 Poorer 0.89 (0.78, 0.93)**0.86 (0.79, 0.94)**
 Poorest 0.70 (0.64, 0.78)***0.72 (0.65, 0.79)***
Health insurance
 Yes 1.001.00
 No 0.73 (0.69, 0.78)***0.74 (0.69, 0.79)***
Age of respondents
 45–49  1.00
 40–44  1.04 (0.94, 1.15)
 35–39  1.03 (0.93, 1.13)
 30–34  1.02 (0.93, 1.13)
 25–29  1.00 (0.91, 1.10)
 20–24  0.94 (0.85, 1.03)
 15–19  0.74 (0.65, 0.84)***
 Log pseudo-likelihood− 4629.853− 4545.343− 4522.237
  1. ***p < 0.001, **p < 0.01, *p < 0.05; OR for odds ratio; 95% CIs = 95% confidence intervals
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