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. Author manuscript; available in PMC: 2024 Sep 1.
Published in final edited form as: Womens Health Issues. 2023 Jul 20;33(5):541–550. doi: 10.1016/j.whi.2023.05.009

Table 1.

Bivariate analysis of determinants of intention to initiate PrEP by socio-ecological level

Variables Total (N=1437) No intention to initiate PrEP (n= 1289) Intention to Initiate PrEP (n=148) P value
A. Individual
Age 28.8±9.2 28.7±9.2 30.1±9.9 0.08
Behavioral exposure
  Injection Drug Use (lifetime; no/yes) 64(4.5) 51(4.0) 13(8.8) 0.02
  Inconsistent Condom Use (never, rarely, or sometimes vs. always) 1020(71.0) 915(71.0) 105(70.9) >.99
  >2 Sex Partners (yes/no) 426(29.6) 371(28.8) 55(37.2) 0.04
  Number of Behavioral Risk Factors – Median (10%, 90%) 2(0,3) 2(0,3) 2(1,4) <.01
  Recent History of STI (past 12 months) 208(14.5) 180(14.0) 28(18.9) 0.11
  Casual Sex Partner(s) (current) 429(29.9) 373(28.9) 56(37.8) 0.03
  Transactional Sex (past 12 months) 42(2.9) 33(2.6) 9(6.1) 0.03
Perceived Risk (Lifetime) (scale 1– 4) 1.6±0.7 1.6±0.7 1.7±0.7 0.63
Perceived Risk (Near Future) (scale 1– 4) 1.4±0.6 1.4±0.6 1.4±0.6 0.86
Awareness of PrEP
Before today, have you ever heard of people who do not have HIV taking PrEP to reduce the risk of getting HIV? (no/yes) 541(39.0) 484(38.8) 57(40.7) 0.71
Attitudes
  Overall, would you say that using PrEP daily to prevent HIV is a good or a bad thing? (scale 1– 5) 4.1±1.0 4.0±1.0 4.6±0.9 <.01
  Using daily PrEP to prevent HIV would make me feel in control of my health. (scale 1– 5) 3.8±1.2 3.7±1.2 4.4±1.1 <.01
  PrEP is a safe way to prevent HIV infection. (scale 1– 5) 4.0±1.0 4.0±1.0 4.5±1.0 <.01
  PrEP is an effective tool to prevent HIV infection. (scale 1– 5) 4.1±1.0 4.0±1.0 4.4±1.1 <.01
Perceived Self-Efficacy
  If I really wanted to, I could use PrEP daily for HIV prevention. (scale 1– 5) 4.0±1.1 3.9±1.2 4.5±1.0 <.01
  If I really wanted to, I could remember to take the pill every day. (scale 1– 5) 4.0±1.2 3.9±1.2 4.4±1.1 <.01
  If I really wanted to, I could take the pill every day, even if it gave me a stomachache. (scale 1– 5) 3.0±1.4 2.9±1.3 4.0±1.3 <.01
  I could use PrEP for HIV prevention, even if my main partner didn’t want me to. (scale 1– 5) 4.1±1.1 4.1±1.1 4.5±1.1 <.01
  I just can’t take pills. 2.0±1.3 2.0±1.3 1.7±1.2 <.01
B. Interpersonal
Relationship Status 0.68
  Married or Living Together 190(13.3) 171(13.3) 19(13.0)
  Divorced, Separated, or Widowed 84(5.9) 78(6.1) 6(4.1)
  Single or Never Married 1157(80.9) 1036(80.6) 121(82.9)
Norms
Thinking about the people who are important to you — would they support or not support your using PrEP for HIV prevention in the next 12 months? (scale 1–5) 3.9±1.2 3.8±1.2 4.4±0.9 <.01
Top Five Important People (±10)
  Doctor 6.6±4.2 6.3±4.2 8.4±3.1 <.01
  Main Sex Partner 5.2±4.9 4.9±4.9 7.7±3.5 <.01
  Child 4.7±4.9 4.5±4.9 6.4±4.4 <.01
  Best Friend 4.6±4.5 4.3±4.4 6.8±3.8 <.01
  Sister 4.4±4.7 4.2±4.7 6.6±4.2 <.01
C. Community
Thinking about people who are similar to you — how likely would they be to use PrEP for HIV prevention in the next 12 months? (scale 1– 5) 3.2±1.2 3.1±1.2 4.1±1.1 <.01
People would shame me if they learned that I was taking PrEP. (scale 1– 5) 2.0±1.1 1.8±1.2 <.01
D. Health System
Heard about PrEP from a doctor1 148(27.4) 121(25.0) 27(47.4) <.01
In the past 12 months, have you had a discussion with a healthcare provider about taking PrEP?1 120(22.3) 93(19.3) 27(48.2) <.01
E. Structural
Race 0.03
  Black / African American 1050(74.8) 928(73.8) 122(84.1)
  White / Caucasian 144(10.3) 135(10.7) 9(6.2)
  Other / Multiple Races 209(14.9) 195(15.5) 14(9.7)
Black Experience – Black/African American (Yes vs. No) 1050(74.8) 928(73.8) 122(84.1) <.01
Education <.01 [.01]
  Less than 12th Grade 69(4.8) 56(4.4) 13(8.8)
  12th Grade or GED 413(28.8) 362(28.2) 51(34.7)
  Some college, Associate or Technical Degree 548(38.3) 489(38.1) 59(40.1)
  Bachelor’s Degree 275(19.2) 260(20.2) 15(10.2)
  Graduate Studies 127(8.9) 118(9.2) 9(6.1)
Employment Status .10
  Employed Full-Time 643(45.6) 583(46.1) 60(41.7)
  Employed Part-Time 296(21.0) 272(21.5) 24(16.7)
  Student 126(8.9) 113(8.9) 13(9.0)
  Unemployed, Homemaker, or Retired 344(24.4) 297(23.5) 47(32.6)
Household Income <.01 [.03]
  0-$14,999 533(41.9) 472(41.3) 61(47.3)
  $15,000–29,999 228(17.9) 206(18.0) 22(17.1)
  $30,000–49,999 301(23.7) 263(23.0) 38(29.5)
  $50,000 or more 210(16.5) 202(17.7) 8(6.2)
Health insurance status (Insured vs. Uninsured) 1054(75.5) 947(75.6) 107(74.3) 0.76
Travel Duration (n=1331)
  ≤ 15 Minutes
  25–29 Minutes
  30–44 Minutes
  45–59 Minutes
  ≥60 Minutes

335(25.2)
577(43.4)
269(20.2)
96(7.2)
54(4.1)

294(24.6)
520(43.5)
242(20.2)
89(7.4)
51(4.3)

41(30.4)
57(42.2)
27(20.0)
7(5.2)
3(2.2)
0.50
[0.07]
Travel Mode (n=1337)
  Own car
  Friend or Family Car
  Bus
  Metro
  Bicycle
  Walk
  Car-share

502(37.6)
197(14.7) 107(8.0)
180(13.5)
14(1.1)
60(4.5)
277(20.7)

452(37.6)
178(14.8) 95(7.9)
161(13.4)
14(1.2)
52(4.3)
250(20.8)

50(37.0)
19(14.1) 12(8.9)
19(14.1)
0(0)
8(5.9)
27(20.0)
0.93

Note: The P-values within the brackets were based on Cochran-Armitage Trend Test. Others were based on Fisher’s Exact Test.