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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