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. 2015 Dec;105(12):e14–e18. doi: 10.2105/AJPH.2015.302877

TABLE 2—

Results of Logistic Regression Models Examining Associations Between Demographic Characteristics or Behavioral Risk Factors and Living in HIV Hotspot Cities: Massachusetts, 2013

Resides in an HIV Hotspot
Characteristic or Risk Factor No (n = 359), % (No.) Yes (n = 74), % (No.) Multivariable AOR (95% CI)
Age, y
 18–29 (ref) 56.6 (203) 55.4 (41) 1.00
 30–39 12.2 (68) 18.9 (9) 0.72 (0.49, 1.07)
 40–49 9.5 (47) 13.1 (7) 1.30 (0.84, 2.02)
 ≥ 50 23.0 (41) 11.4 (17) 2.44*** (1.66, 3.57)
Race/ethnicity
 Non-Hispanic White (Ref) 84.4 (303) 60.8 (45) 1.00
 Non-Whitea 15.6 (56) 39.2 (29) 2.36*** (1.75, 3.19)
Income
 Higher (> $35 000 annually; Ref) 31.4 (246) 25.7 (55) 1.00
 Low (≤ $35 000 annually) 68.6 (113) 74.3 (19) 1.37* (1.05, 1.78)
Genderb
 Female-to-male spectrum (Ref) 34.3 (123) 46.0 (34) 1.00
 Male-to-female spectrum 65.7 (236) 54.1 (40) 1.20 (0.89, 1.61)
HIV testing history
 Never tested (Ref) 20.3 (74) 14.9 (11) 1.00
 Tested in past 6 mo 30.9 (111) 41.9 (31) 1.35 (0.89, 2.05)
 Tested more than 6 mo in past 48.8 (175) 43.2 (32) 1.31 (0.88, 1.95)
Incarceration historyc
 No (Ref) 98.6 (354) 86.5 (64) 1.00
 Yes 1.4 (5) 13.5 (10) 4.86*** (2.77, 8.51)
Polydrug use (past 12 mo)d
 No (Ref) 58.5 (110) 44.6 (33) 1.00
 Yes 41.5 (249) 55.4 (41) 1.54* (1.12, 2.12)
Current smoker
 No (Ref) 65.7 (236) 46.8 (43) 1.00
 Yes 34.3 (123) 43.2 (31) 1.53** (1.18, 1.98)
Binge drinking (past 3 mo)
 No (Ref) 85.2 (306) 77.0 (57) 1.00
 Yes 14.8 (53) 23.0 (17) 1.57** (1.20, 2.05)
≥ 4 sex partners in past 6 mo
 No (Ref) 91.9 (330) 90.5 (37) 1.00
 Yes 8.1 (29) 9.5 (7) 0.74 (0.47, 1.16)
Condomless receptive anal sex during most recent sexual encounter with partner assigned male sex at birthe
 No (Ref) 96.5 (347) 87.3 (65) 1.00
 Yes 3.5 (12) 12.7 (9) 1.96** (1.20, 3.21)

Note. AOR = adjusted odds ratio; CI = confidence interval. Values are adjusted for survey modality.

a

Non-Hispanic Black, Hispanic, multiracial, or non-Hispanic other.

b

Transgender and gender-nonconforming people were collapsed into 2 groups according to sex at birth and direction of gender identity (i.e., male-to-female spectrum vs female-to-male spectrum).

c

Served time in a jail, prison, or other correctional facility.

d

Use of ≥ 2 illicit drugs during the past year (marijuana, cocaine, crack, heroin, club drugs, methamphetamine, hallucinogens, downers, painkillers).

e

Male-assigned sex at birth includes cisgender (nontransgender) men, transgender women, and gender-nonconforming people who were assigned male sex at birth.

*P < .05; **P < .01; ***P < .001.