Table 4 Logistic regression analysis to the uptake of PrEP among high-risk MSM
Variables | High-risk MSM | Used PrEP, n(%) | Univariate analysisa | Multivariate analysisb | ||
|---|---|---|---|---|---|---|
OR (95%CI) | P-valuec | OR (95%CI) | P-valuec | |||
Total (n) | 1865 | 417(22.4) | ||||
Age | ||||||
18 ~ | 429 | 64(14.9) | 1.00 | 1.00 | ||
26 ~ | 483 | 111(23.0) | 1.70 (1.22 ~ 2.40) | 0.002 | 1.86(1.17 ~ 2.99) | 0.009 |
31 ~ | 420 | 103(24.5) | 1.85 (1.31 ~ 2.63) | < 0.001 | 1.98(1.23 ~ 3.24) | 0.006 |
> 36 | 533 | 139(26.1) | 2.01 (1.45 ~ 2.81) | < 0.001 | 2.18(1.38 ~ 3.50) | 0.001 |
Education | ||||||
Junior high and below | 128 | 29(22.6) | 1.00 | 1.00 | ||
High school or technical school | 316 | 54(17.1) | 0.70 (0.43 ~ 1.18) | 0.174 | 0.95(0.52 ~ 1.76) | 0.871 |
Diploma or degree | 1201 | 263(21.9) | 0.96(0.63 ~ 1.50) | 0.844 | 1.64(0.94 ~ 2.92) | 0.084 |
Master degree or above | 220 | 71(32.3) | 1.63(0.99 ~ 2.71) | 0.057 | 2.37(1.21 ~ 4.72) | 0.013 |
Job | ||||||
Stable work | 1439 | 321(22.3) | 1.00 | 1.00 | ||
Students | 221 | 40(18.1) | 0.77(0.53 ~ 1.10) | 0.159 | 1.12(0.63 ~ 1.99) | 0.705 |
Unstable work | 185 | 54(29.2) | 1.44(1.02 ~ 2.01) | 0.037 | 1.86(1.16 ~ 2.96) | 0.009 |
Retired | 20 | 2(10.0) | 0.39(0.06 ~ 1.35) | 0.204 | 0.31(0.05 ~ 1.30) | 0.156 |
Average monthly income | ||||||
< 5000 RMB | 705 | 144(20.4) | 1.00 | 1.00 | ||
≥ 5000 RMB | 1160 | 273(23.5) | 1.20(0.96 ~ 1.51) | 0.118 | 0.88(0.62 ~ 1.24) | 0.457 |
Number of HIV tests in the last year | ||||||
0 | 180 | 16(8.9) | 1.00 | 1.00 | ||
1 | 373 | 43(11.5) | 1.34(0.74 ~ 2.51) | 0.347 | 0.86(0.43 ~ 1.75) | 0.667 |
2 | 390 | 58(14.9) | 1.79(1.02 ~ 3.31) | 0.051 | 1.12(0.58 ~ 2.25) | 0.740 |
3 | 292 | 67(22.9) | 3.05(1.75 ~ 5.63) | < 0.001 | 1.66(0.85 ~ 3.34) | 0.145 |
4 | 238 | 67(28.2) | 4.02(2.29 ~ 7.44) | < 0.001 | 1.76(0.90 ~ 3.59) | 0.108 |
≥ 5 | 392 | 166(42.3) | 7.53(4.46 ~ 13.53) | < 0.001 | 3.09(1.65 ~ 6.04) | < 0.001 |
PrEP knowledge awareness | ||||||
Yes | 460 | 168(36.5) | 2.67(2.11 ~ 3.38) | < 0.001 | 1.90(1.41 ~ 2.55) | < 0.001 |
No | 1405 | 249(17.7) | 1.00 | 1.00 | ||
Sources to get information of PrEP | ||||||
MSM community organizations | 717 | 143(19.9) | 1.00 | 1.00 | ||
Internet | 676 | 122(18.0) | 0.88(0.67 ~ 1.15) | 0.367 | 1.17(0.84 ~ 1.63) | 0.363 |
CDC | 267 | 86(32.2) | 1.91(1.39 ~ 2.61) | < 0.001 | 1.75(1.17 ~ 2.60) | 0.006 |
Others | 205 | 66(32.2) | 1.91(1.35 ~ 2.69) | < 0.001 | 1.75(1.13 ~ 2.73) | 0.013 |
Willingness to use PrEP | ||||||
Yes | 1804 | 412(22.8) | 3.31(1.45 ~ 9.55) | 0.011 | 0.88(0.32 ~ 2.86) | 0.810 |
No | 61 | 5(8.2) | 1.00 | 1.00 | ||
The main barriers to PrEP willingness | ||||||
Effectiveness | 351 | 97(27.6) | 1.38(1.03 ~ 1.84) | 0.028 | 1.43(0.99 ~ 2.05) | 0.056 |
Drug price | 808 | 175(21.6) | 1.00 | 1.00 | ||
Side effects | 365 | 83(22.7) | 1.06(0.79 ~ 1.43) | 0.679 | 1.02(0.70 ~ 1.48) | 0.907 |
Frequency and duration of medication | 233 | 56(24.0) | 1.14(0.81 ~ 1.61) | 0.442 | 1.17(0.75 ~ 1.81) | 0.482 |
Others | 108 | 6(5.6) | 0.21(0.08 ~ 0.45) | < 0.001 | 0.23(0.08 ~ 0.56) | 0.003 |
Consulted PrEP | ||||||
Yes | 869 | 388(44.6) | 26.90(18.48 ~ 40.66) | < 0.001 | 22.05(14.87 ~ 33.91) | < 0.001 |
No | 996 | 29(2.9) | 1.00 | 1.00 | ||