Table 3.
Multivariate logistical regression on health information seeking on social media with offline physician-visiting behaviors of YMSM participants in China, 2017 (n = 503)
| STI testinga | STI physician visitingb | |||
|---|---|---|---|---|
| OR 95% CI | aORc 95% CI | OR 95% CI | aOR 95% CI | |
| Platform use | ||||
| Generic social media use | 1.44** (1.10–1.88) |
1.39* (1.06–1.81) |
1.18*** (1.08–1.29) |
1.14** (1.04–1.26) |
| Gay mobile App use | 1.60*** (1.19–2.16) |
1.62*** (1.20–2.19) |
1.10* (1.01–1.19) |
1.04 (0.95–1.14) |
| Mobile medical App use | 1.12 (0.85–1.47) |
1.12 (0.85–1.47) |
1.11 (0.97–1.26) |
1.16* (1.01–1.34) |
| Seeking behavior | ||||
| Online seeking for symptoms | 4.99*** (2.26–10.98) |
4.91*** (2.18–11.09) |
2.50*** (1.74–3.60) |
2.02*** (1.34–3.04) |
| Online seeking for services | 6.86*** (2.41–19.52) |
7.21*** (2.50–20.91) |
2.42*** (1.65–3.54) |
1.95** (1.28–2.99) |
| Perception | ||||
| Perceived trustworthiness of searching results | 3.42*** (1.80–6.47) |
2.86** (1.43–5.72) |
2.00*** (1.37–2.93) |
1.54 (0.99–2.39) |
aMultivariate logistical analyses of STI testing controlled age, education, income, condom use and sex partner number.
bMultivariate logistical analyses of STI physician visiting controlled age, education, income, condom use, sex partner number, HIV status and syphilis status.
caOR refers to adjusted odds ratio
*p <0.05, **p<0.01, ***p<0.001