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. 2019 Dec 4;19:1633. doi: 10.1186/s12889-019-7997-1

Table 2.

Bivariate analysis of participants with good or poor knowledge

Statement (n = 621) Poor HIV knowledge
Frequency
N (row %)
N = 285
Good HIV knowledge
Frequency
N (row %)
N = 336
p value
Sex n = 621
 Male 121 (49.8) 122 (50.2) 0.103
 Female 163 (43.1) 215 (56.9)
Sexual orientation
 Heterosexual 144 (27.4) 426 (72.6) 0.525
 Homosexual 3 (21.4) 11 (78.6)
 Bisexual 1 (14.3) 6 (85.7)
 Missing data 8 (26.6) 22 (73.4)
Age n = 621
 18–29 118 (48.2) 127 (58.8) 0.448
 30–44 104 (48.8) 123 (54.2)
  ≥ 45 62 (41.6) 87 (58.4)
Native language
 French or Portuguese 222 (36.4%) 288 (63.6%) 0.011
 Creole, Amerindian and others 63 (56.8%) 48 (43.2%)
Education level
 Any level to middle school 138 (50.9) 133 (49.1) 0.022
 High school to University 147 (42.0) 203 (58.0)
Income
 Paid employment 42 (41.2) 60 (58.8) 0.105
 Informal work 35 (50.7) 34 (49.3)
 Social allowance 75 (44.9) 92 (55.1)
 None 100 (43.3) 131 (56.7)
 Others 29 (63.0) 17 (37.0)
 Missing data 3 (50.0) 3 (50.0)
 Mean number of HIV information sources [IC95%] 1.65 [1.55–1.76] 2.12 [1.97–2.27] < 0.001
Last HIV test
 Less than a year 89 (36.5) 155 (63.5) 0.021
 More than a year 108 (48.6) 122 (51.4)
 Missing data 87 (59.2) 60 (40.8)
Would you do an HIV test in the future?
 Yes 230 (43.5) 299 (56.5) 0.066
 No 37 (56.1) 29 (43.9)
 Missing Data 17 (65.4) 9 (34.6)
Do you know a PLHIVa?
 Yes 89 (36.5) 155 (63.5) 0.001
 No 174 (50.9) 168 (49.1)
 Missing Data 21 (60.0) 14 (40.0)

aPLHIV: people living with HIV