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Table 4 Univariate and multivariate logistic regression analysis of any type of adverse health condition

From: Vaginal health and hygiene practices and product use in Canada: a national cross-sectional survey

Predictor variables Univariate Multivariate
OR (CI 95%) p OR (CI 95%) p
Any product use 3.2 (2.4-4.2) .00** 3.2 (4.5-4.3) .00**
 Ethnicity   .76   
  White reference    
  Black 1.3 (0.5 – 3.4)    
  Chinese 0.8 (0.3 – 2.7)    
  East Asian 0.3 (0.1 – 2.1)    
  South Asian 0.5 (0.2 – 2.0)    
  Latin/S/Cen American 0.8 (0.1 – 6.8)    
  Aboriginal 0.4 (0.6 – 4.1)    
  Middle Eastern 0.08 (0.9 – 2.9)    
  Mixed 0.8 (0.3 – 2.7)    
  Other 0.9 (0.3 – 3.4)    
 Education Level   .21   
  Less than high school 0.6 (0.2 – 2.3)    
  High school diploma 0.7 (0.4 – 1.0)    
  Some post-secondary 1.1 (0.7 – 1.5)    
  Diploma complete 0.8 (0.5 – 1.2)    
  Degree complete 1.0 (0.7 – 1.4)    
  Post-graduate complete reference    
 Age   .00**   .00**
  Less than 25 years 1.5 (0.4 - 5.5)   1.4 (0.4 – 5.3)  
  26-35 years 1.5 (0.4 – 5.6)   1.2 (0.3 – 4.6)  
  36-45 years 1.4 (0.4 – 5.2)   1.1 (0.3 – 4.2)  
  46-55 years 0.9 (0.2 – 3.2)   0.8 (0.2 – 3.0)  
  56- 65 years 0.6 (0.1 – 0.3)   0.5 (0.1 – 2.1)  
  66- 75 years 0.2 (0.1 – 2.7)   0.6 (0.1 – 2.7)  
  76+ years reference    
 Sexual Orientation   .00**   .01*
  Heterosexual reference   1.1 (0.5 – 2.4)  
  Lesbian 1.3 (0.6 – 2.7)   1.3 (0.5 – 3.6)  
  Bisexual 1.3 (0.5 – 3.4)   2.3 (1.5 – 3.6)  
  Questioning/Uncertain 2.7 (1.7 – 4.1)   1.2 (0.6 – 2.5)  
  Other 1.4 (0.7 – 2.8)    
  1. Dependent variable: Any adverse health condition
  2. ** p < .01
  3. * p < .05