Research Article

Alcohol Exposures, Alcohol Marketing, and Their Associations with Problem Drinking and Drunkenness among Youth Living in the Slums of Kampala, Uganda

Table 4

Multivariate logistic regression analyses of the associations between demographic characteristics, alcohol marketing, and alcohol education and problem drinking among participants in the Kampala Youth Survey ( ).

Four models predicting problem drinking
Model 1Model 2Model 3Model 4
AOR (95% CI)AOR (95% CI)AOR (95% CI)AOR (95% CI)

Boys2.33  (1.44–3.77)1.16 (0.61–2.19)0.85 (0.43–1.71)0.85 (0.42–1.70)
Girls1.001.001.001.00
Age ≥183.70  (2.18–6.29)3.50  (1.82–6.76)2.94  (1.49–5.80)2.76  (1.41–5.41)
Age <181.001.001.001.00
Sadness1.72 (0.79–3.73)1.76 (0.78–3.95)1.89  (0.85–4.21)
No friends0.19  (0.04–0.85)0.30 (0.07–1.35)0.26 (0.06–1.22)
Drug use9.17  (4.80–17.51)6.67  (3.38–13.16)7.29  (3.62–14.69)
Violence victimization2.35  (1.24–4.42)1.70 (0.85–3.41)1.67 (0.83–3.35)
HIV/AIDS4.01  (1.64–9.78)2.92  (1.16–7.37)3.44  (1.33–8.91)
Alcohol use and marketing exposure
 0–41.001.00
 5-61.17 (0.54–2.51)1.17 (0.55–2.47)
Alcohol marketing
Free drink2.40  (1.18–4.88)2.47  (1.23–4.96)
Brand logo1.91 (0.95–3.84)1.98 (0.97–4.03)
Alcohol education
 Danger of alcohol0.63 (0.22–1.76)
 Help quit0.75 (0.35–1.62)
 Refuse alcohol1.66 (0.82–3.37)

Each model included all listed variables. Reference categories for each variable are not shown but were those not exposed to or who did not report sadness, having no friends, drug use, violence victimization, alcohol marketing, or alcohol education.