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. 2017 Jul/Aug;16(4):347-352.
doi: 10.1177/2325957417710719. Epub 2017 May 31.

New Faces of HIV Infection: Age, Race, and Timing of Entry into HIV Care in the Southeastern United States

Affiliations

New Faces of HIV Infection: Age, Race, and Timing of Entry into HIV Care in the Southeastern United States

Peter Francis Rebeiro et al. J Int Assoc Provid AIDS Care. 2017 Jul/Aug.

Abstract

Among younger men who have sex with men (MSM), the incidence of HIV is rising nationally. Of the 281 persons who entered into care at a large HIV clinic in the southeastern United States in 2010 to 2012, 78 (27.8%) were <25 years old at the time of diagnosis. Those in the younger group were more likely than those aged ≥25 to be black (59.0% versus 37.4%), MSM (78.2% versus 55.2%), and to have a longer median time from diagnosis to entry into care (71 versus 53 days; P < .05 each). In adjusted survival analysis, persons of black race were less likely to enter care after diagnosis than those of nonblack race (hazard ratio = 0.75, P = .02). Young MSM represent an important target population for prevention and HIV testing interventions, and there is a need to shorten the time from diagnosis to linkage to care, particularly in persons aged <25 and of black race.

Keywords: HIV; care continuum; entry into care; race; young adults.

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Conflict of interest statement

Declaration of Conflicting Interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1
Figure 1
Adjusted survival curves for time from HIV diagnosis (Dx) to first clinic visit, by age category, accounting for race, sex, HIV risk factor, and active substance abuse.
Figure 2
Figure 2
Diagnosis of the proportionality assumption in a Cox regression model, using the scaled Schoenfeld residuals. The horizontal line at 0 on the Y-axis indicates that hazards are proportional by exposure of interest (age) across the study period.
Figure 3
Figure 3
Adjusted survival curves for time from HIV diagnosis to first clinic visit, with age by race interactions, accounting for sex, HIV risk factor, and active substance abuse.
Figure 4
Figure 4
Adjusted survival curves for time from HIV diagnosis to first clinic visit, with age by risk interactions, accounting for sex, race, and active substance abuse.

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