Table 1 Univariate analysis of dependent and independent variables
From: Utilization of breast cancer screening in Kenya: what are the determinants?
Counts | Percentage | |
|---|---|---|
Ever screened for breast cancer | ||
No | 13,037 | 88 |
Yes | 1697 | 12 |
Level of education | ||
Higher education | 1251 | 8 |
Secondary education | 4104 | 28 |
Primary education | 7399 | 50 |
No education | 1980 | 14 |
Marital status | ||
Currently married | 9010 | 61 |
Never married | 4056 | 28 |
Formerly married | 1668 | 11 |
Province of residence | ||
North Eastern | 779 | 5 |
Coast | 1841 | 13 |
Eastern | 2494 | 17 |
Central | 1511 | 10 |
Rift Valley | 4251 | 29 |
Western | 1385 | 9 |
Nyanza | 2013 | 14 |
Nairobi | 460 | 3 |
Urban-rural residence | ||
Urban | 5469 | 37 |
Rural | 9265 | 63 |
Employment status | ||
Employed | 8447 | 57 |
Unemployed | 6270 | 43 |
Household wealth quintiles | ||
Richest | 2946 | 20 |
Richer | 2947 | 20 |
Middle | 2947 | 20 |
Poorer | 2947 | 20 |
Poorest | 2947 | 20 |
Insurance status | ||
Insured | 2240 | 15 |
Uninsured | 12,489 | 85 |
Age of respondents | ||
45–49 | 1127 | 8 |
40–44 | 1370 | 9 |
35–39 | 1876 | 13 |
30–34 | 2105 | 14 |
25–29 | 2858 | 19 |
20–24 | 2537 | 17 |
15–19 | 2861 | 20 |
Total | 14,734 | 100 |