Skip to main content

Table 1 Probability of PrEP awareness by demographic and behavioral characteristics of women who inject drugs (WWID) New York City, NHBS 2015 (n = 118)

From: Awareness of pre-exposure prophylaxis (PrEP) among women who inject drugs in NYC: the importance of networks and syringe exchange programs for HIV prevention

 

Aware of PrEP (n = 37)

Unaware of PrEP (n = 81)

Total

Chi-squared statistic

Variable

n

%

n

%

n

Row %

 

PrEP awareness

37

31

81

69

118

100

 

Age

 18–29

5

38

8

62

13

100

χ2(3) = 1.99

 30–39

7

30

16

70

23

100

 

 40–49

8

23

27

77

35

100

 

 50 and older

17

36

30

64

47

100

 

Race

 Hispanic/Latina

15

33

30

67

45

100

χ2(2) = 0.55

 African American/Black

12

27

32

73

44

100

 

 White/multiracial/other

10

34

19

66

29

100

 

Education

 Some high school or less

13

28

34

72

47

100

χ2(2) = 1.09

 High school graduate or GED

11

30

26

70

37

100

 

 Some college or above

13

38

21

62

34

100

 

Household income

 Up to $10,000

32

34

63

66

95

100

χ2(2) = 1.24

 $10,000–$25,000

4

22

14

78

18

100

 

 $25,000 and above

1

20

4

80

5

100

 

 Homelessª

22

32

46

68

68

100

χ2(1) = 0.07

 Lesbian, gay, or bisexual identity

12

38

20

63

32

100

χ2(1) = 0.77

 Incarceration (ever)

28

32

59

68

87

100

χ2(1) = 0.11

Health care/prevention

 Current health care

35

31

79

69

114

100

χ2(1) = 0.67

 Usual source of care

35

32

75

68

110

100

χ2(1) = 0.16

 Seen health care providerª

35

32

73

68

108

100

χ2(1) = 0.65

 Syringe exchange prevention conversation

19

54

16

46

35

100

χ2(1) = 12.15***

Risk factors

 STI Testª

21

40

32

60

53

100

χ2(1) = 3.05^

 Condomless vaginal/anal sexª

22

29

54

71

76

100

χ2(1) = 0.58

 Transactional sexª

16

43

21

57

37

100

χ2(1) = 3.54^

 Binge drinkingb

13

41

19

59

32

100

χ2(1) = 1.75

 Non-injection drug usedª

26

30

61

70

87

100

χ2(1) = 0.33

 Injection sharingª

12

32

26

68

38

100

χ2(1) = 0.001

 Positive HIV test

0

0

2

100

2

100

χ2(1) = 0.93

 Hepatitis C diagnosis (Ever)

8

23

27

77

35

100

χ2(1) = 1.67

  1. ªIndicates within the last 12 months
  2. bIndicates within the last 30 days
  3. ^p < .10; ***p < .001