Table 1. Participant demographics collected by self-report.
| Age | Group 1 | Group 2 | Group 3 | Group 4 |
|---|---|---|---|---|
| Median (range) | 25 (21–38) | 27 (19–44) | 28 (22–44) | 27 (18–46) |
| Ethnicity | ||||
| Not Hispanic or Latino | 23 (82%) | 14 (74%) | 9 (82%) | 39 (89%) |
| Hispanic or Latino | 3 (11%) | 4 (21%) | 2 (18%) | 2 (4%) |
| Unavailable* | 2 (7%) | 1 (5%) | 0 (0%) | 3 (7%) |
| Race | ||||
| White | 17 (61%) | 9 (48%) | 3 (27%) | 10 (22%) |
| Black or African American | 1 (3.5%) | 8 (42%) | 8 (73%) | 29 (65%) |
| Asian | 6 (21%) | 0 (0%) | 0 (0%) | 0 (0%) |
| American Indian or Alaska Native | 1 (3.5%) | 0 (0%) | 0 (0%) | 1 (2%) |
| Other | 1 (3.5%) | 1 (5%) | 0 (0%) | 2 (4%) |
| Unavailable* | 2 (7.5%) | 1 (5%) | 0 (0%) | 3 (7%) |
| Type of Birth Control | ||||
| None | 18 (64%) | 10 (53%) | 9 (82%) | 31 (69%) |
| Pill Vaginal ring |
3 (11%) 1 (4%) |
4 (21%) 0 (0%) |
0 (0%) 1 (9%) |
6 (14%) 1 (2%) |
| Injectable | 0 (0%) | 1 (5%) | 1 (9%) | 2 (4%) |
| Implant | 0 (0%) | 0 (0%) | 0 (0%) | 1 (2%) |
| Hormonal IUD | 4 (14%) | 3 (16%) | 0 (0%) | 0 (0%) |
| Copper IUD | 0 (0%) | 0 (0%) | 0 (0%) | 1 (2%) |
| Unavailable* | 2 (7%) | 1 (5%) | 0 (0%) | 3 (7%) |
| History of conditions | ||||
| Unavailable* | 2 (7%) | 5 (26%) | 4 (36%) | 19 (42%) |
| None# | 22 (85%) | 9 (64%) | 3 (43%) | 13 (50%) |
| Yes, specified#: | 4 (15%) | 5 (36%) | 4 (57%) | 13 (50%) |
| Herpes | 3 | 1 | 2 | 2 |
| Gonorrhea | 0 | 2 | 1 | 3 |
| Chlamydia | 3 | 4 | 3 | 5 |
| Bacterial vaginosis | 1 | 4 | 3 | 10 |
| Yeast infection | 0 | 0 | 1 | 2 |
| Trichomoniasis | 0 | 0 | 0 | 1 |
| Human papilloma virus | 0 | 1 | 1 | 1 |
*Unavailable responses were due to either blank answers, missing questionnaires, or questionnaires that did not include the question. Each participant may have self-reported diagnosis with more than one reproductive tract infection/condition, so the results are not additive. A few participants provided multiple samples over a course of weeks or months, over which time age and birth control status changed, and thus their demographics were tabulated and included for each visit. The few instances where the same participant provided multiple samples are detailed for each set of experiments in the methods.
#Due to large number of participants with unavailable information, percentages were calculated based only on participants where information was available.