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 1 | Model 2 | Model 3 | |
|---|---|---|---|
OR (95% CIs) | OR (95% CIs) | OR (95% CIs) | |
Level of education | |||
Higher education | 1.00 | 1.00 | 1.00 |
Secondary education | 0.64 (0.59, 0.70)*** | 0.73 (0.67, 0.80)*** | 0.77 (0.70, 0.84)*** |
Primary education | 0.56 (0.51, 0.60)*** | 0.69 (0.63, 0.76)*** | 0.72 (0.65, 0.78)*** |
No education | 0.39 (0.34, 0.43)*** | 0.55 (0.48, 0.62)*** | 0.55 (0.48, 0.62)*** |
Marital status | |||
Currently married | 1.00 | 1.00 | 1.00 |
Never married | 0.68 (0.64, 0.72)*** | 0.70 (0.66, 0.74)*** | 0.80 (0.74, 0.86)*** |
Formerly married | 0.99 (0.93, 1.07) | 1.03 (0.96, 1.10) | 1.02 (0.95, 1.10) |
Province of residence | |||
North East | 1.00 | 1.00 | 1.00 |
Coast | 1.34 (1.13, 1.60)*** | 1.40 (1.17, 1.68)*** | 1.40 (1.16, 1.68)*** |
Eastern | 1.47 (1.24, 1.75)*** | 1.48 (1.24, 1.78)*** | 1.49 (1.24, 1.79)*** |
Central | 2.40 (2.01, 2.87)*** | 2.33 (1.94, 2.80)*** | 2.34 (1.94, 2.82)*** |
Rift Valley | 1.52 (1.28, 1.80)*** | 1.55 (1.30, 1.85)*** | 1.57 (1.31, 1.87)*** |
Western | 1.39 (1.16, 1.66)*** | 1.45 (1.21, 1.75)*** | 1.48 (1.22, 1.79)*** |
Nyanza | 1.22 (1.02, 1.46)* | 1.26 (1.05, 1.51)* | 1.28 (1.06, 1.54)** |
Nairobi | 1.63 (1.33, 1.99)*** | 1.61 (1.31, 1.99)*** | 1.61 (1.31, 1.99)*** |
Place of residence | |||
Urban | 1.00 | 1.00 | 1.00 |
Rural | 0.83 (0.79, 0.89)*** | 0.89 (0.85, 0.94)*** | 0.89 (0.84, 0.94)*** |
Employment status | |||
Employed | 1.00 | 1.00 | 1.00 |
Unemployed | 0.85 (0.81, 0.89)*** | 0.88 (0.84, 0.93)*** | 0.93 (0.88, 0.99)* |
Household wealth quintiles | |||
Richest | 1.00 | 1.00 | |
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 | 1.00 | 1.00 | |
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 |