dc.contributor.author | Kabwama, Steven Ndugwa | |
dc.contributor.author | Ndyanabangi, Sheila | |
dc.contributor.author | Mutungi, Gerald | |
dc.contributor.author | Wesonga, Ronald | |
dc.contributor.author | Bahendeka, Silver K. | |
dc.contributor.author | Guwatudde, David | |
dc.date.accessioned | 2018-05-29T21:33:00Z | |
dc.date.available | 2018-05-29T21:33:00Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Kabwama, S. N., Ndyanabangi, S., Mutungi, G., Wesonga, R., Bahendeka, S. K., Guwatudde, D.(2016). Alcohol use among adults in Uganda: Findings from the countrywide non-communicable diseases risk factor cross-sectional survey. Global Health Action, 9(1) | en_US |
dc.identifier.issn | 1654-9880 | |
dc.identifier.uri | http://dx.doi.org/10.3402/gha.v9.31302 | |
dc.identifier.uri | http://hdl.handle.net/10570/6197 | |
dc.description | This article can be retrieved directly from the journal site at https://www.tandfonline.com/doi/full/10.3402/gha.v9.31302 | en_US |
dc.description.abstract | Background: There are limited data on levels of alcohol use in most sub-Saharan African countries.
Objective: We analyzed data from Uganda’s non-communicable diseases risk factor survey conducted in 2014, to identify alcohol use prevalence and associated factors.
Design: The survey used the World Health Organization STEPS tool to collect data, including the history of alcohol use. Alcohol users were categorized into low-, medium-, and high-end users. Participants were also classified as having an alcohol-use-related disorder if, over the past 12 months, they were unable to stop drinking alcohol once they had started drinking, and/or failed to do what was normally expected of them because of drinking alcohol, and/or needed an alcoholic drink first in the morning to get going after a heavy drinking session the night before. Weighted logistic regression analysis was used to identify factors associated with medium- to high-end alcohol use.
Results: Of the 3,956 participants, 1,062 (26.8%) were current alcohol users, including 314 (7.9%) low-end, 246 (6.2%) medium-end, and 502 (12.7%) high-end users. A total of 386 (9.8%) were classified as having an alcohol-use-related disorder. Male participants were more likely to be medium- to high-end alcohol users compared to females; adjusted odds ratio (AOR)=2.34 [95% confidence interval (CI)=1.88–2.91]. Compared to residents in eastern Uganda, participants in central and western Uganda were more likely to be medium- to high-end users; AOR=1.47 (95% CI=1.01–2.12) and AOR=1.89 (95% CI=1.31–2.72), respectively. Participants aged 30–49 years and those aged 50–69 years were more likely to be medium- to high-end alcohol users, compared to those aged 18–29 years, AOR=1.49 (95% CI=1.16–1.91) and AOR=2.08 (95% CI=1.52–2.84), respectively.
Conclusions: The level of alcohol use among adults in Uganda is high, and 9.8% of the adult population has an alcohol-use-related disorder. | en_US |
dc.description.sponsorship | Uganda government,
World Health Organization,
World Diabetes Foundation,
United Nations Development Program | en_US |
dc.language.iso | en | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.subject | Alcohol use | en_US |
dc.subject | Non-communicable diseases | en_US |
dc.subject | Sub–Saharan Africa | en_US |
dc.subject | Uganda | en_US |
dc.subject | Cancer | en_US |
dc.subject | WHO STEPS methodology | en_US |
dc.title | Alcohol use among adults in Uganda: Findings from the countrywide non-communicable diseases risk factor cross-sectional survey | en_US |
dc.type | Journal article | en_US |