Table 1.
Characteristics at entry | Cases N = 90 |
Controls N = 270 |
---|---|---|
Age | ||
median (IQR) | 25 (20.3, 29.0) | 28 (23.0, 36.0) |
Race/ethnicity | ||
Latinx, mestizo (multiracial) | 90 (100%) | 270 (100%) |
Post-secondary education/training | ||
Yes | 66 (73.3%) | 139 (51.5%) |
Income above minimum wage | ||
Yesa | 53 (58.9%) | 134 (49.8%) |
Participate in sex work | ||
Yes | 20 (22.2%) | 117 (43.3%) |
Gender identityb | ||
Cisgender Male | 79 (87.8%) | 221 (81.9%) |
Transgender female | 11 (12.2%) | 47 (17.4%) |
Non-binary or other | 0 (0.0%) | 2 (0.7%) |
Sexual orientation | ||
Heterosexual (non-queer identified MSM) | 0 (0.0%) | 15 (5.6%) |
Bisexual | 33 (36.7%) | 77 (28.5%) |
Homosexual | 46 (51.1%) | 129 (47.8%) |
Other (inc. transwomen) | 11 (12.2%) | 47 (17.4%) |
AUDIT score | ||
median (IQR) | 11 (5, 17) | 9 (6, 15) |
Report current CLAI | ||
Yes | 79 (87.8%) | 209 (77.4%) |
CLAI acts inthe 30days before X visitc | ||
Mean; median (IQR) | 1.6; 0.0 (0.0, 2.0) | 0.9; 0.0 (0.0, 0.0) |
Sexual Role | ||
Insertive only | 10 (11.1%) | 84 (31.1%) |
Receptive only | 25 (27.8%) | 81 (30.0%) |
Versatile | 55 (61.1%) | 103 (38.1%) |
Days to HIV diagnosis (X) | ||
median (IQR) | 361 (179.8, 516.5) | 359.5 (185.5, 498.8) |
Days between X-1 sample and X | ||
median (IQR) | 35 (29, 44) | 33 (28, 38) |
Days between EDDIdand X | ||
median (IQR) | 29 (18, 35) | – |
MSM, Men who have Sex with Men; AUDIT, Alcohol Use Disorders Identification Test; CLAI, condomless anal intercourse; X-1 is the sample selected from the month before X or the last HIV-negative sample, where X is the first HIV positive by HIV RNA and/or Ab point-of-care test or matched visit in controls
During 2015, the Peruvian national minimum wage was 750 PEN (Peruvian Nuevo Soles), or about $235 US dollars/month.
All participants were assigned male at birth by eligibility criteria of parent study.
Participant-reported count of total number of CLAI acts with any non-main partner (insertive or receptive) in the 30 days before the visit. See STAR methods for rationale and details.
EDDI, or Estimated Date of Detectable Infection, is calculated from a published calculator that uses all available HIV test results and methods to calculate the most probable date of HIV acquisition, including uncertainty estimates for First Possible and Last Possible Date of Infection.