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Table 5 Multivariable logistic regression analysis of factors associated with any illicit drug use in the past year among adolescent female sex workers (N = 310)

From: Sexual and reproductive health correlates of polysubstance use among female adolescents who sell sex in the southwest of China

Factors

Illicit drug use

n/N (%)

Crude OR

(95% CI)

p-value

Adjusted ORa

(95% CI)

p-value

Average monthly income from sex work!

 ≤ 360 EUR (low level)

3/95(3)

1.0

   

 > 360EUR (Middle to high level)

24/213(11)

3.89(1.12–13.44)

0.020

  

Coerced for forced sex at sex debut

 No

12/240(5)

1.0

 

1.0

 

 Yes

15/70(21)

5.18(2.23–12.01)

< 0.001

4.41(1.77–11.06)

< 0.001

Had any intimate male partner with illicit drug use

 No

12/251(5)

1.0

 

1.0

 

 Yes

15/59(25)

6.79(2.87–16.08)

< 0.001

5.77(2.33–14.29)

0.002

Experienced sexual and gender-based violence (PY)

 No

8/192(4)

1.0

   

 Yes

19/118(16)

4.41(1.82–10.66)

< 0.001

  

Inconsistent condom use with any male partners (PM)

 No

3/86(3)

1.0

   

 Yes

24/224(11)

3.32(0.96–11.44)

< 0.001

  

Utilization of health service for STI treatment

 Safe medical care

7/193(4)

1.0

 

1.0

 

 Unsafe medical care

19/105(18)

5.87(2.31–14.93)

< 0.001

5.98(2.26–15.85)

< 0.001

Prior abortion

 No

10/174(6)

1.0

   

 Yes

17/136(1)

2.34(1.03–5.34)

0.037

  

Any self-reported symptom of STIs (PY)

 No

4/105(4)

1.0

   

 Yes

23/205(11)

3.19(1.06–9.58)

0.029

  
  1. In the final logistic regression model: Pseudo R2 = 0.25; P < 0.001; Akaike information criterion =140.08
  2. CI confidence interval, OR odds ratio in the bivariate logistic regression model
  3. aAdjusted odds ratio in the final logistic regression model
  4. !Two responses were missing in the question of monthly income