(Posted as supplied by author.)

Table 1

Table 2

Table 3

Table 4

Table 5
 

Table 1 Logistic regression model to identify the determinants of anti-HBc prevalence in injecting drug users

     
    Injecting drug user sample n=509
    Anti-HBc positive n=94
    Prevalence of anti-HBc %
    Odds ratio (95% CI)
    P value
    Age (years):
    <30
    382
    51
    13.4
    1
    		 
    30
    102
    38
    37.3
    4.1 (2.4-7.0)
    <0.0001
    Missing
    25
    		    
    Years since first injecting
    <3
    85
    6
    7.1
    1
    		 
    3
    383
    82
    21.4
    3.0 (1.3-8.8)
    0.03
    Missing
    41
    		    
    Ever treated for sexually transmitted infection:
    No
    412
    66
    16.0
    1
    		 
    Yes
    87
    25
    28.7
    2.1 (1.1-3.7)
    0.02
    Missing
    10
    		    

    Whole model 2 = 44, P<0.0001.

The initial model included the variables age, gender, time spent in prison in the preceding 10 years, smoking heroin, length of time since first injection, started injecting in prison, sharing practices in prison and outside prison, injecting frequency in prison, on methadone prior to committal, ever had sex with a man inside or outside prison, ever treated for a sexually transmitted infection, use of condoms during heterosexual intercourse and whether respondents had commenced or completed hepatitis B vaccination. Significant factors were retained in the final model. Interaction between age and number of years since first injecting was not significant.
 

Table 2 Logistic regression model to identify the determinants of anti-HIV prevalence in injecting drug users

     
    Injecting drug user sample

    n=509

    No.

    Anti-HIV positive

    n=18

    No.

    Prevalence of anti-HIV %
    Odds ratio (95% CI)
    p-value
    Age group
    <30 years
    382
    6
    1.6
    1
    		 
    30 years
    102
    11
    10.8
    9.2 (3.0-30.0)
    <0.0001
    Missing
    25
    		    
    Use condom when have sex with women
    No
    311
    4
    1.3
    1
    		 
    Yes
    138
    12
    8.7
    12.7 (3.8-58.7)
    0.0002
    Missing
    60
    		    

    Whole model 2 = 32, p <.0001.

The initial model for injecting drug users included the variables age, gender, time spent in prison in the preceding 10 years, smoking heroin, length of time since first injection, started injecting in prison, sharing practices in prison and outside prison, injecting frequency in prison, on methadone prior to committal, ever had sex with a man inside or outside prison, ever treated for a sexually transmitted infection, and use of condoms during heterosexual intercourse. Significant factors were retained in the final model.
 

Table 3 Logistic regression model to identify the determinants of anti-HBc prevalence in those who reported never injecting drugs

     
    Non-injector sample

    n=669

    No.

    Anti-HBc positive

    n=10

    No.

    Prevalence of anti-HBc

    %

    Odds ratio

    (95% CI)

    p-value
    Age group
    <30 years
    404
    1
    0.3
    1
    		 
    30 years
    237
    9
    3.8
    12.7 (2.3-239.3)
    0.02
    Missing
    28
    		    
    Men ever had anal sex with men
    No
    617
    7
    1.1
    1
    		 
    Yes
    12
    2
    16.7
    12.3 (1.6-65.6)
    0.006
    Missing
    40
    		    

    Whole model 2 16 =, p =.0003.

The initial model included age, gender, time spent in prison in the preceding 10 years, smoking heroin, ever had sex with a man inside or outside prison, use condoms during heterosexual intercourse, ever treated for a sexually transmitted infection, and whether respondents had commenced or completed hepatitis B vaccination. Significant factors were retained in the final model.
 

Table 4 Logistic regression model to identify the determinants of anti-HCV prevalence in those who reported never injecting drugs

     
    Non-injector sample n=669

    No.

    Anti-HCV positive n=25

    No.

    Prevalence of anti-HCV

    %

    Odds ratio (95% CI)
    p-value
    Smoked heroin in the previous 12 months
    No
    546
    14
    2.6
    1
    		 
    Yes
    119
    11
    9.2
    4.0 (1.7-9.3)
    0.001
    Missing
    4
    		    
    Oral fluid positive for anti-HBc
    No
    659
    22
    3.3
    1
    		 
    Yes
    10
    3
    30.0
    13.5 (2.6-55.7)
    0.001
    Missing
    0
    		    

    Whole model 2 = 18, p <0.0001.

The initial model included age, gender, time spent in prison in the preceding 10 years, smoking heroin, ever had sex with a man inside or outside prison. Significant factors were retained in the final model.
 

Table 5 Logistic regression model to identify the determinants of anti-HIV prevalence in those who reported never injecting drugs

     
    Non-injector sample

    n=669

    No.

    Anti- HIV positive

    n=6

    No.

    Prevalence of anti-HIV

    %

    Odds ratio

    (95% CI)

    p-value
    Men ever had anal sex with men
    No
    617
    3
    0.5
    1
    		 
    Yes
    12
    3
    25
    68.2 (11.4-416.7)
    <0.0001
    Missing
    40
    		    

    Whole model 2 = 16.3, p <0.0001.

The initial model included age, gender, time spent in prison in the preceding 10 years, smoking heroin, ever had sex with a man inside or outside prison, ever treated for a sexually transmitted infection, use of condoms during heterosexual intercourse. Significant factors were retained in the final model.