Table 2.
Exposure to the trial intervention reported by Web-based sexual health influencers and noninfluencers in a men who have sex with men cohort in China in 2016 to 2017.
| Binary outcomes | Total (N=1031) | Noninfluencers (N=899) | Influencers (N=132) | P value | |
| Exposure to the trial intervention materials, n (%) | |||||
|
|
Have seen any images promoting HIV testing | 884 (85.74) | 759 (84.4) | 125 (94.7) | .002 |
|
|
Have seen any texts promoting HIV testing | 792 (76.82) | 672 (74.7) | 120 (90.9) | <.001 |
|
|
Have seen local testing sites information | 864 (83.80) | 749 (83.3) | 115 (87.1) | .27 |
|
|
Have seen a local crowdsourcing contest | 375 (36.37) | 312 (34.7) | 63 (47.7) | .004 |
| Give or receive anything related to HIV testing on social media platforms except for the information from the trial, n (%) | |||||
|
|
Using Weibo to give or receive information | 154 (14.94) | 112 (12.5) | 42 (31.8) | <.001 |
|
|
Using WeChat to give or receive information | 360 (34.92) | 275 (30.6) | 85 (64.4) | <.001 |
|
|
Using QQ to give or receive information | 179 (17.36) | 125 (13.9) | 54 (40.9) | <.001 |
|
|
Using Blued to give or receive information | 211 (20.47) | 169 (18.8) | 42 (31.8) | .001 |