Table 1.
Factors associated with potential transmission links (N = 732).
| Characteristics | Total | 0 Link, n (%) | 1 Link, n (%) | ≥ 2 Link2, n (%) | χ2 | P |
|---|---|---|---|---|---|---|
| Years of diagnosis | 2.1 | 0.350 | ||||
| 2013–2015 | 155 | 30 (19.4%) | 10 (6.5%) | 115 (74.2%) | ||
| 2016–2018 | 577 | 96 (16.6%) | 57 (9.9%) | 424 (73.5%) | ||
| Region | 2.269 | 0.322 | ||||
| Locals | 710 | 120 (16.9%) | 64 (9.0%) | 526 (74.1%) | ||
| Migrants | 22 | 6 (27.3%) | 3 (13.6%) | 13 (59.1%) | ||
| Age | 1.205 | 0.548 | ||||
| < 35 years | 583 | 100 (17.2%) | 50 (8.6%) | 433 (74.3%) | ||
| ≥ 35 years | 149 | 26 (17.2%) | 17 (11.4%) | 106 (71.1%) | ||
| Marital status | 13.433 | 0.009 | ||||
| Singlehood | 609 | 103 (16.9%) | 49 (8.0%) | 457 (75.0%) | ||
| Married | 91 | 15 (16.5%) | 17 (18.7%) | 59 (64.8%) | ||
| Divorced or widowed | 32 | 8 (25.0%) | 1 (3.1%) | 23 (71.9%) | ||
| Educational level | 5.508 | 0.480 | ||||
| Junior high school and below | 128 | 30 (23.4%) | 9 (7.0%) | 89 (69.5%) | ||
| High school or technical school | 214 | 36 (16.8%) | 23 (10.7%) | 155 (72.4%) | ||
| College and above | 379 | 58 (15.3%) | 34 (9.0%) | 287 (75.7%) | ||
| Unknown | 11 | 2 (18.2%) | 1 (9.1%) | 8 (72.7%) | ||
| Ethnicity | 8.647 | 0.071 | ||||
| Han | 426 | 64 (15.0%) | 33 (7.7%) | 329 (77.2%) | ||
| Zhuang | 259 | 55 (21.2%) | 27 (10.4%) | 177 (68.3%) | ||
| Others | 47 | 7 (14.9%) | 7 (14.9%) | 33 (70.2%) | ||
| Subtype | 42.08 | < 0.001 | ||||
| CRF01_AE | 245 | 50 (20.4%) | 29 (11.8%) | 166 (67.8%) | ||
| CRF07_BC | 369 | 52 (13.9%) | 29 (7.9%) | 288 (78.3%) | ||
| CRF55_01B | 83 | 9 (9.8%) | 3 (3.7%) | 71 (86.6%) | ||
| Others | 35 | 15 (45.9%) | 6 (16.2%) | 14 (37.8%) | ||
| Infection timea | 122.186 | < 0.001 | ||||
| Recent infection | 106 | 21 (19.8%) | 15 (14.2%) | 70 (66.0%) | ||
| Long-term infection | 363 | 237 (55.0%) | 77 (19.6%) | 49 (25.4%) | ||
aOnly 469 newly diagnosed MSM in Guangxi from 2016 to 2018 were tested with the LAg-Avidity EIA to classify recent HIV-1 infections.