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. 2016 Jan 10;2016:7962502. doi: 10.1155/2016/7962502

Table 2.

Bivariate analysis of prostate cancer screening (complementary log-log).

Variable OR (SE)
Health insurance (ref: none)
 Yes 6.77 (1.172)∗∗∗
Education (ref: none)
 Primary 2.43 (.976)∗∗
 Secondary 6.75 (2.556)∗∗∗
 Higher 22.64 (9.119)∗∗∗
Discussed health issues with health worker in the last month (ref: none)
 Yes 2.51 (.746)∗∗∗
Listen to radio (ref: none)
 Often 0.38 (.125)∗∗∗
 Very often 0.58 (.196)
Watch television (ref: none)
 Often 1.45 (.435)
 Very often 1.49 (.391)
Age of respondent (ref: 40–44)
 45–49 1.38 (.312)
 50–54 1.87 (.443)∗∗∗
 55–59 2.08 (.522)∗∗∗
 60–64 2.10 (.556)∗∗∗
Marital status (ref: single)
 Married 3.85 (1.141)∗∗∗
 Separated 2.83 (1.114)∗∗∗
Religion (ref: Catholic)
 Protestants 1.71 (.455)∗∗
 ELCIN 1.19 (.272)
 Others 2.14 (.518)∗∗∗
Region of residence (ref: Caprivi)
 Erongo 2.49 (1.331)
 Hardap 2.08 (1.150)
 Karas 3.00 (1.616)∗∗
 Kavango 1.15 (.727)
 Khomas 2.63 (1.466)
 Kunene 0.56 (.381)
 Ohangwena 2.68 (1.660)
 Omaheke 1.46 (.833)
 Omusati 0.66 (.451)
 Oshana 1.23 (.789)
 Oshikoto 1.08 (.694)
 Otjozondjupa 2.44 (1.324)
Place of residence (ref: urban)
 Rural 0.49 (.091)∗∗∗
Wealth (ref: poorest)
 Poorer 1.16 (.581)
 Middle 1.74 (.796)
 Richer 4.03 (1.682)∗∗∗
 Richest 13.61 (5.498)∗∗∗

Standard errors are in parenthesis. ∗∗∗ p < 0.01, ∗∗ p < 0.05, and p < 0.1.