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. Author manuscript; available in PMC: 2024 Jul 1.
Published in final edited form as: Lancet HIV. 2023 Jun 8;10(7):e461–e471. doi: 10.1016/S2352-3018(23)00085-1

Table 3:

Adjusted multinomial regression model of variables associated with diagnosed and undiagnosed infection compared to no HIV infection among Venezuelan migrants and refugees in Colombia (n=6,019)


Diagnosed HIV infection Undiagnosed HIV infection

PrR 95%CI p-value PrR 95%CI p-value

Barranquilla or Soledad site (ref: Bogotá or Soacha) 3.3 (1.5–7.1) 0.0022 1.4 (0.7–2.7) 0.3152

Gender (ref: woman)

Man 2.6 (1.1–5.9) 0.025 1.9 (0.9–4.0) 0.0723

Transgender or non-binary 7.5 (1.4–40.4) 0.0184 5.4 (1.1–27.2) 0.0428

Member of a key population (ref: no) 8.2 (3.7–18.2) p<0.0001 4.0 (1.8–8.9) 0.0007

Laboratory confirmed syphilis infection (ref: non-reactive) 3.5 (1.5–8.2) 0.004 3.6 (1.6–8.4) 0.0023

Irregular migration status (ref: Regular status) 0.5 (0.2–0.9) 0.0304 1.3 (0.6–2.8) 0.5295

Used humanitarian services in Colombia (ref: no) 4.1 (2.0–8.3) 0.0001 0.8 (0.3–2.0) 0.6043

Notes: Multinomial regression allows for more than two categories of the dependent or outcome variable; base category is no HIV infection; PrR: adjusted prevalence ratio; Key population defined as individuals who identify as men who have sex with men, transgender people who have sex with men, people who report lifetime transactional sex, or people who report lifetime injecting drug use. Age, year of migration, any violence victimization in Colombia, symptoms of hazardous alcohol use, and psychologic distress were not associated with diagnosed or undiagnosed HIV infection in bivariate or multivariable models.