Prevalence and correlates of men’s and women’s alcohol use in agrarian, trading and fishing communities in Rakai, Uganda

• DOI: 10.1371/journal.pone.0240796
• Publication Date: 2020-10-30T17:43:45Z
• Authors: Jennifer A. Wagman; Dorean Nabukalu; Amanda P. Miller; Maria J. Wawer; Robert Ssekubugu; Hadijja Nakowooya; Betty Nantume; Eunhee Park; Judith A. Hahn; David M. Serwadda; Nelson K. Sewankambo; Fred Nalugoda; Godfrey Kigozi
• Keywords: Adult; Male; 330; Adolescent; Alcohol Drinking; General Science & Technology; Science; Clinical Sciences; Fisheries; 610; Substance Misuse; Alcohol Use and Health; Young Adult; 03 medical and health sciences; 0302 clinical medicine; Residence Characteristics; Health Sciences; Behavioral and Social Science; Prevalence; Humans; Uganda; 14. Life underwater; 2. Zero hunger; Biomedical and Clinical Sciences; Q; R; Commerce; 1. No poverty; Agriculture; 3. Good health; Alcoholism; Infectious Diseases; Good Health and Well Being; Logistic Models; 6.1 Pharmaceuticals; HIV/AIDS; Women's Health; Sexually Transmitted Infections; Medicine; Female; Public Health; Infection; Research Article

Introduction Uganda has one of the highest rates alcohol use in sub-Saharan Africa but prevalence and correlates drinking are undocumented Rakai region, earliest epicenters HIV/AIDS epidemic East Africa. Methods We analyzed cross-sectional data from 18,700 persons (8,690 men, 10,010 women) aged 15–49 years, living agrarian, trading fishing communities participating Community Cohort Study (RCCS) between March 2015 September 2016. Logistic regression models assessed associations past year sociodemographic characteristics, other drug HIV status, controlling for age, religion, education, occupation, marital household socioeconomic status. Results Past was 45%. Odds were significantly higher men (versus agrarian areas). increased with previous current) marriage use. By odds among fishermen (in bar/restaurant workers. Alcohol-related consequences more commonly reported by male (vs. females) drinkers, whom up to 35% dependence symptoms (e.g., unsteady gait). status strongly associated unadjusted not adjusted models. Conclusions Alcohol differed gender, community type occupation. Being male, a working as fisherman or restaurant/bar worker (among drinking. reduction programs should be implemented Uganda's people high risk occupations workers).