Skip to main content

Advertisement

Table 3 Covariates associated with “heavy episodic drinking” in Kenya

From: Prevalence and determinants of heavy episodic drinking among adults in Kenya: analysis of the STEPwise survey, 2015

  Unadjusted Odds Ratio (95% CI) P-value Adjusted Odds Ratioa (95% CI) P-value
Age (per 10 years) 1.15 (1.03,1.29) 0.01 1.15 (0.98,1.34) 0.08
Age categories   0.10   
 18–29 1.0    
 30–39 1.7 (1.1,2.7) 0.02   
 40–49 1.9 (1.0,3.5) 0.05   
 50–59 1.2 (0.8,1.8) 0.46   
 60–69 1.7 (1.0,3.0) 0.07   
Sex     
 Men 9.9 (5.3,18.8) <.0001   
 Women 1.0    
Sexacurrently smoking     0.006
 Smoker subgroup: man vs. woman    2.0 (0.7,5.3) 0.19
 Non-smoker: man vs. woman    7.9 (4.1,15.5) < 0.0001
Marital status   0.31   0.26
 Currently married/ Cohabiting 1.0   1.0  
 Never married 1.2 (0.8,1.8) 0.44 0.9 (0.6,1.4) 0.66
 Formerly married/widowed 1.4 (0.8,2.5) 0.19 1.8 (0.9,3.5) 0.10
Education level   0.12   0.50
 No education 1.0 1.0
 Primary 1.6 (0.9,2.9) 0.11 1.2 (0.6,2.3) 0.57
 Secondary 2.0 (1.04,3.9) 0.04 1.5 (0.8,2.8) 0.21
 Tertiary 2.5 (1.1,5.6) 0.02 1.6 (0.7,3.8) 0.28
Wealth quintile   0.02   0.02
 Poorest 1.00   1.0  
 Second 1.0 (0.5,1.9) 0.92 0.8 (0.4,1.6) 0.45
 Middle 1.0 (0.5,2.0) 0.90 0.7 (0.4,1.5) 0.38
 Fourth 1.2 (0.6,2.4) 0.62 0.8 (0.4,1.8) 0.64
 Richest 1.9 (0.9,4.1) 0.07 1.7 (0.8,3.8) 0.18
Residence     
 Rural 0.6 (0.4,1.0) 0.04 1.0 (0.7,1.5) 0.86
 Urban 1.00    
Currently smoking     
 Yes 6.9 (4.4, 10.8) <.0001   
 No 1.00    
  1. aThe final model (adjusted model) included age, marital status, education, wealth quintile, residence, gender, currently smoking, and interaction of gender and currently smoking. The interaction of each predictor with smoking status for HED outcome was tested, however only interaction of gender by smoking remained significant. Because interaction term of gender by smoking is significant, the main effects of smoking and gender are not presented. Instead, gender effect is presented stratified by smoking status (the interaction indicates that the effect of gender differs significantly by smoking status)