Table 3.
Factors associated with prostate cancer screening (complementary log-log).
| Variable | Model (1) | Model (2) |
|---|---|---|
| Health insurance (ref: none) | ||
| Yes | 4.11 (.787)∗∗∗ | 2.95 (.620)∗∗∗ |
| Education (ref: none) | ||
| Primary | 1.98 (.877) | 2.08 (.927) |
| Secondary | 4.01 (1.568)∗∗∗ | 3.32 (1.392)∗∗∗ |
| Higher | 8.13 (3.450)∗∗∗ | 6.34 (2.915)∗∗∗ |
| Discussed health issues with health worker in the last month (ref: none) | ||
| Yes | 1.54 (0.455) | 2.02 (.611)∗∗ |
| Listen to radio (ref: none) | ||
| Often | 0.91 (.379) | 0.96 (.404) |
| Very often | 1.10 (.473) | 0.99 (.440) |
| Watch television (ref: none) |
||
| Often | 1.12 (.338) | 1.39 (.445) |
| Very often | 0.94 (.250) | 0.83 (.232) |
| Age of respondent (ref: 40–44) |
||
| 45–49 | 1.24 (.278) | |
| 50–54 | 2.05 (.504)∗∗∗ | |
| 55–59 | 2.06 (.532)∗∗∗ | |
| 60–64 | 3.30 (.990)∗∗∗ | |
| Marital status (ref: single) | ||
| Married | 1.56 (.476) | |
| Separated | 1.87 (.737) | |
| Religion (ref: Catholic) | ||
| Protestants | 1.02 (.275) | |
| ElCIN | 1.18 (.271) | |
| Others | 1.12 (.278) | |
| Region of residence (ref: Caprivi) |
||
| Erongo | 1.25 (.677) | |
| Hardap | 1.33 (.750) | |
| Karas | 1.71 (.920) | |
| Kavango | 1.52 (.958) | |
| Khomas | 1.18 (.661) | |
| Kunene | 0.82 (.565) | |
| Ohangwena | 5.10 (3.222)∗∗∗ | |
| Omaheke | 1.29 (.734) | |
| Omusati | 0.47 (.320) | |
| Oshana | 0.89 (.550) | |
| Oshikoto | 1.03 (.653) | |
| Otjozondjupa | 2.11 (1.159) | |
| Place of residence (ref: urban) | ||
| Rural | 1.51 (.327) | |
| Wealth (ref: poorest) | ||
| Poorer | 1.12 (.586) | |
| Middle | 1.25 (.628) | |
| Richer | 2.41 (1.186)∗ | |
| Richest | 4.95 (2.613)∗∗∗ | |
| Random effect | ||
| Variance at the cluster level | 2.106 (.353)∗∗∗ | 1.56 (.416)∗ |
| Constant | 0.021 (.009)∗∗∗ | 0.003 (.003)∗∗∗ |
|
| ||
| Observations | 1,244 | 1,244 |
Standard errors are in parenthesis. ∗∗∗ p < 0.01, ∗∗ p < 0.05, and ∗ p < 0.10.