TY - JOUR
T1 - Alcohol use among adults in Uganda
T2 - findings from the countrywide non-communicable diseases risk factor cross-sectional survey
AU - Kabwama, Steven Ndugwa
AU - Ndyanabangi, Sheila
AU - Mutungi, Gerald
AU - Wesonga, Ronald
AU - Bahendeka, Silver K.
AU - Guwatudde, David
N1 - Funding Information:
The authors are grateful to the research participants, who volunteered to participate in the NCDs risk factor prevalence survey; and for the technical and administrative support provided by Uganda's Ministry of Health, and that from the Uganda Bureau of Statistics. The authors also acknowledge the technical support provided by Melanie Cowan and Lubna Ishaq Bhatti of the Surveillance and Population-based Prevention Unit, Department of Prevention of Non-communicable Diseases, Non-communicable Diseases and Mental Health Cluster, World Health Organization, Geneva, Switzerland. The conduct of the survey was supported by funding from the Uganda government, the World Health Organization, the World Diabetes Foundation, and the United Nations Development Program. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Publisher Copyright:
© 2016, © 2016 Steven Ndugwa Kabwama et al.
PY - 2016/12/1
Y1 - 2016/12/1
N2 - 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.
AB - 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.
KW - Uganda
KW - WHO STEPS methodology
KW - alcohol use
KW - non-communicable diseases
KW - sub-Saharan Africa
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U2 - 10.3402/gha.v9.31302
DO - 10.3402/gha.v9.31302
M3 - Article
C2 - 27491961
AN - SCOPUS:85000547944
SN - 1654-9716
VL - 9
JO - Global Health Action
JF - Global Health Action
IS - 1
M1 - 31302
ER -