Systematic review and meta-analysis: prevalence of alcohol use among young people in eastern Africa
Identifieur interne : 002C90 ( Pmc/Corpus ); précédent : 002C89; suivant : 002C91Systematic review and meta-analysis: prevalence of alcohol use among young people in eastern Africa
Auteurs : Joel M. Francis ; Heiner Grosskurth ; John Changalucha ; Saidi H. Kapiga ; Helen A. WeissSource :
- Tropical Medicine & International Health [ 1360-2276 ] ; 2014.
Abstract
Systematic review and meta-analysis of published studies of alcohol use among young people (age 15–24 years) in eastern Africa to estimate prevalence of alcohol use and determine the extent of use of standardised screening questionnaires in alcohol studies.
Five databases (MEDLINE, EMBASE, Global Health, Africa-wide, and PsycINFO) were searched for publications until 30th June 2013. Results were summarised using the guidelines on preferred reporting items for systematic reviews and meta-analyses (PRISMA) and on quality assessment using the modified quality assessment tool for systematic reviews of observational studies (QATSO). Heterogeneity was assessed using the I2 statistic (DerSimonian-Laird).
We identified 2785 potentially relevant studies, of which 56 were eligible for inclusion. Only two studies (4%) used the standardised Alcohol Use Disorder Identification Test (AUDIT) questionnaire, and six studies (13%) used the Cut down, Annoyed, Guilt, Eye opener (CAGE) questionnaire. The reported median prevalence of alcohol use was ever-use 52% [interquartile range (IQR): 20–58%], use in the last month 28% (IQR: 17–37%), use in the last year 26% (IQR: 22–32%), and problem drinking as defined by CAGE or AUDIT 15% (IQR: 3–36%). We observed high heterogeneity between studies, with the highest prevalence of ever use of alcohol among university students (82%; 95%CI: 79–85%) and female sex workers (66%; 95%CI: 58–74%). Current use was most prevalent among male sex workers (69%; 95%CI: 63–75%).
Reported alcohol use and problem drinking were common among diverse groups of young people in eastern Africa, indicating the urgent need for alcohol-focused interventions in this population. Few studies have used standardised alcohol screening questionnaires. Epidemiological research to investigate alcohol-focused interventions in young people should aim to apply such questionnaires that should be validated for use in this population.
Url:
DOI: 10.1111/tmi.12267
PubMed: 24479379
PubMed Central: 4065366
Links to Exploration step
PMC:4065366Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Systematic review and meta-analysis: prevalence of alcohol use among young people in eastern Africa</title><author><name sortKey="Francis, Joel M" sort="Francis, Joel M" uniqKey="Francis J" first="Joel M" last="Francis">Joel M. Francis</name><affiliation><nlm:aff id="au1"><institution>London School of Hygiene and Tropical Medicine</institution><addr-line>London, UK</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="au2"><institution>National Institute for Medical Research, Mwanza Centre</institution><addr-line>Mwanza, Tanzania</addr-line></nlm:aff></affiliation></author><author><name sortKey="Grosskurth, Heiner" sort="Grosskurth, Heiner" uniqKey="Grosskurth H" first="Heiner" last="Grosskurth">Heiner Grosskurth</name><affiliation><nlm:aff id="au1"><institution>London School of Hygiene and Tropical Medicine</institution><addr-line>London, UK</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="au2"><institution>National Institute for Medical Research, Mwanza Centre</institution><addr-line>Mwanza, Tanzania</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="au3"><institution>Mwanza Intervention Trials Unit</institution><addr-line>Mwanza, Tanzania</addr-line></nlm:aff></affiliation></author><author><name sortKey="Changalucha, John" sort="Changalucha, John" uniqKey="Changalucha J" first="John" last="Changalucha">John Changalucha</name><affiliation><nlm:aff id="au2"><institution>National Institute for Medical Research, Mwanza Centre</institution><addr-line>Mwanza, Tanzania</addr-line></nlm:aff></affiliation></author><author><name sortKey="Kapiga, Saidi H" sort="Kapiga, Saidi H" uniqKey="Kapiga S" first="Saidi H" last="Kapiga">Saidi H. Kapiga</name><affiliation><nlm:aff id="au1"><institution>London School of Hygiene and Tropical Medicine</institution><addr-line>London, UK</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="au2"><institution>National Institute for Medical Research, Mwanza Centre</institution><addr-line>Mwanza, Tanzania</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="au3"><institution>Mwanza Intervention Trials Unit</institution><addr-line>Mwanza, Tanzania</addr-line></nlm:aff></affiliation></author><author><name sortKey="Weiss, Helen A" sort="Weiss, Helen A" uniqKey="Weiss H" first="Helen A" last="Weiss">Helen A. Weiss</name><affiliation><nlm:aff id="au1"><institution>London School of Hygiene and Tropical Medicine</institution><addr-line>London, UK</addr-line></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">24479379</idno><idno type="pmc">4065366</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4065366</idno><idno type="RBID">PMC:4065366</idno><idno type="doi">10.1111/tmi.12267</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">002C90</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002C90</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Systematic review and meta-analysis: prevalence of alcohol use among young people in eastern Africa</title><author><name sortKey="Francis, Joel M" sort="Francis, Joel M" uniqKey="Francis J" first="Joel M" last="Francis">Joel M. Francis</name><affiliation><nlm:aff id="au1"><institution>London School of Hygiene and Tropical Medicine</institution><addr-line>London, UK</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="au2"><institution>National Institute for Medical Research, Mwanza Centre</institution><addr-line>Mwanza, Tanzania</addr-line></nlm:aff></affiliation></author><author><name sortKey="Grosskurth, Heiner" sort="Grosskurth, Heiner" uniqKey="Grosskurth H" first="Heiner" last="Grosskurth">Heiner Grosskurth</name><affiliation><nlm:aff id="au1"><institution>London School of Hygiene and Tropical Medicine</institution><addr-line>London, UK</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="au2"><institution>National Institute for Medical Research, Mwanza Centre</institution><addr-line>Mwanza, Tanzania</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="au3"><institution>Mwanza Intervention Trials Unit</institution><addr-line>Mwanza, Tanzania</addr-line></nlm:aff></affiliation></author><author><name sortKey="Changalucha, John" sort="Changalucha, John" uniqKey="Changalucha J" first="John" last="Changalucha">John Changalucha</name><affiliation><nlm:aff id="au2"><institution>National Institute for Medical Research, Mwanza Centre</institution><addr-line>Mwanza, Tanzania</addr-line></nlm:aff></affiliation></author><author><name sortKey="Kapiga, Saidi H" sort="Kapiga, Saidi H" uniqKey="Kapiga S" first="Saidi H" last="Kapiga">Saidi H. Kapiga</name><affiliation><nlm:aff id="au1"><institution>London School of Hygiene and Tropical Medicine</institution><addr-line>London, UK</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="au2"><institution>National Institute for Medical Research, Mwanza Centre</institution><addr-line>Mwanza, Tanzania</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="au3"><institution>Mwanza Intervention Trials Unit</institution><addr-line>Mwanza, Tanzania</addr-line></nlm:aff></affiliation></author><author><name sortKey="Weiss, Helen A" sort="Weiss, Helen A" uniqKey="Weiss H" first="Helen A" last="Weiss">Helen A. Weiss</name><affiliation><nlm:aff id="au1"><institution>London School of Hygiene and Tropical Medicine</institution><addr-line>London, UK</addr-line></nlm:aff></affiliation></author></analytic><series><title level="j">Tropical Medicine & International Health</title><idno type="ISSN">1360-2276</idno><idno type="eISSN">1365-3156</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Objective</title><p>Systematic review and meta-analysis of published studies of alcohol use among young people (age 15–24 years) in eastern Africa to estimate prevalence of alcohol use and determine the extent of use of standardised screening questionnaires in alcohol studies.</p></sec><sec><title>Methods</title><p>Five databases (MEDLINE, EMBASE, Global Health, Africa-wide, and PsycINFO) were searched for publications until 30th June 2013. Results were summarised using the guidelines on preferred reporting items for systematic reviews and meta-analyses (PRISMA) and on quality assessment using the modified quality assessment tool for systematic reviews of observational studies (QATSO). Heterogeneity was assessed using the I<sup>2</sup> statistic (DerSimonian-Laird).</p></sec><sec><title>Results</title><p>We identified 2785 potentially relevant studies, of which 56 were eligible for inclusion. Only two studies (4%) used the standardised Alcohol Use Disorder Identification Test (AUDIT) questionnaire, and six studies (13%) used the Cut down, Annoyed, Guilt, Eye opener (CAGE) questionnaire. The reported median prevalence of alcohol use was ever-use 52% [interquartile range (IQR): 20–58%], use in the last month 28% (IQR: 17–37%), use in the last year 26% (IQR: 22–32%), and problem drinking as defined by CAGE or AUDIT 15% (IQR: 3–36%). We observed high heterogeneity between studies, with the highest prevalence of ever use of alcohol among university students (82%; 95%CI: 79–85%) and female sex workers (66%; 95%CI: 58–74%). Current use was most prevalent among male sex workers (69%; 95%CI: 63–75%).</p></sec><sec><title>Conclusions</title><p>Reported alcohol use and problem drinking were common among diverse groups of young people in eastern Africa, indicating the urgent need for alcohol-focused interventions in this population. Few studies have used standardised alcohol screening questionnaires. Epidemiological research to investigate alcohol-focused interventions in young people should aim to apply such questionnaires that should be validated for use in this population.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Abbey, A" uniqKey="Abbey A">A Abbey</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Agardh, A" uniqKey="Agardh A">A Agardh</name></author><author><name sortKey="Odberg Pettersson, K" uniqKey="Odberg Pettersson K">K Odberg-Pettersson</name></author><author><name sortKey="Ostergren, Po" uniqKey="Ostergren P">PO Ostergren</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Agardh, A" uniqKey="Agardh A">A Agardh</name></author><author><name sortKey="Cantor Graae, E" uniqKey="Cantor Graae E">E Cantor-Graae</name></author><author><name sortKey="Ostergren, Po" uniqKey="Ostergren P">PO 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Trop Med Int Health</journal-id><journal-id journal-id-type="iso-abbrev">Trop. Med. Int. Health</journal-id><journal-id journal-id-type="publisher-id">tmi</journal-id><journal-title-group><journal-title>Tropical Medicine & International Health</journal-title></journal-title-group><issn pub-type="ppub">1360-2276</issn><issn pub-type="epub">1365-3156</issn><publisher><publisher-name>BlackWell Publishing Ltd</publisher-name><publisher-loc>Oxford, UK</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">24479379</article-id><article-id pub-id-type="pmc">4065366</article-id><article-id pub-id-type="doi">10.1111/tmi.12267</article-id><article-categories><subj-group subj-group-type="heading"><subject>Alcohol Use in Ssa</subject></subj-group></article-categories><title-group><article-title>Systematic review and meta-analysis: prevalence of alcohol use among young people in eastern Africa</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Francis</surname><given-names>Joel M</given-names></name><xref ref-type="aff" rid="au1">1</xref><xref ref-type="aff" rid="au2">2</xref></contrib><contrib contrib-type="author"><name><surname>Grosskurth</surname><given-names>Heiner</given-names></name><xref ref-type="aff" rid="au1">1</xref><xref ref-type="aff" rid="au2">2</xref><xref ref-type="aff" rid="au3">3</xref></contrib><contrib contrib-type="author"><name><surname>Changalucha</surname><given-names>John</given-names></name><xref ref-type="aff" rid="au2">2</xref></contrib><contrib contrib-type="author"><name><surname>Kapiga</surname><given-names>Saidi H</given-names></name><xref ref-type="aff" rid="au1">1</xref><xref ref-type="aff" rid="au2">2</xref><xref ref-type="aff" rid="au3">3</xref></contrib><contrib contrib-type="author"><name><surname>Weiss</surname><given-names>Helen A</given-names></name><xref ref-type="aff" rid="au1">1</xref></contrib><aff id="au1"><label>1</label><institution>London School of Hygiene and Tropical Medicine</institution><addr-line>London, UK</addr-line></aff><aff id="au2"><label>2</label><institution>National Institute for Medical Research, Mwanza Centre</institution><addr-line>Mwanza, Tanzania</addr-line></aff><aff id="au3"><label>3</label><institution>Mwanza Intervention Trials Unit</institution><addr-line>Mwanza, Tanzania</addr-line></aff></contrib-group><author-notes><corresp id="cor1"><bold>Corresponding Author Joel M. Francis</bold>, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK. E-mail: <email>Joel.Francis@lshtm.ac.uk</email> or <email>joelmfrancis@gmail.com</email></corresp></author-notes><pub-date pub-type="ppub"><month>4</month><year>2014</year></pub-date><pub-date pub-type="epub"><day>31</day><month>1</month><year>2014</year></pub-date><volume>19</volume><issue>4</issue><fpage>476</fpage><lpage>488</lpage><permissions><copyright-statement>© 2014 The Authors. Tropical Medicine and International Health published by John Wiley & Sons Ltd.</copyright-statement><copyright-year>2014</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0/"><license-p>This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><abstract><sec><title>Objective</title><p>Systematic review and meta-analysis of published studies of alcohol use among young people (age 15–24 years) in eastern Africa to estimate prevalence of alcohol use and determine the extent of use of standardised screening questionnaires in alcohol studies.</p></sec><sec><title>Methods</title><p>Five databases (MEDLINE, EMBASE, Global Health, Africa-wide, and PsycINFO) were searched for publications until 30th June 2013. Results were summarised using the guidelines on preferred reporting items for systematic reviews and meta-analyses (PRISMA) and on quality assessment using the modified quality assessment tool for systematic reviews of observational studies (QATSO). Heterogeneity was assessed using the I<sup>2</sup> statistic (DerSimonian-Laird).</p></sec><sec><title>Results</title><p>We identified 2785 potentially relevant studies, of which 56 were eligible for inclusion. Only two studies (4%) used the standardised Alcohol Use Disorder Identification Test (AUDIT) questionnaire, and six studies (13%) used the Cut down, Annoyed, Guilt, Eye opener (CAGE) questionnaire. The reported median prevalence of alcohol use was ever-use 52% [interquartile range (IQR): 20–58%], use in the last month 28% (IQR: 17–37%), use in the last year 26% (IQR: 22–32%), and problem drinking as defined by CAGE or AUDIT 15% (IQR: 3–36%). We observed high heterogeneity between studies, with the highest prevalence of ever use of alcohol among university students (82%; 95%CI: 79–85%) and female sex workers (66%; 95%CI: 58–74%). Current use was most prevalent among male sex workers (69%; 95%CI: 63–75%).</p></sec><sec><title>Conclusions</title><p>Reported alcohol use and problem drinking were common among diverse groups of young people in eastern Africa, indicating the urgent need for alcohol-focused interventions in this population. Few studies have used standardised alcohol screening questionnaires. Epidemiological research to investigate alcohol-focused interventions in young people should aim to apply such questionnaires that should be validated for use in this population.</p></sec></abstract><kwd-group><kwd>alcohol use</kwd><kwd>systematic review</kwd><kwd>meta-analysis</kwd><kwd>eastern Africa</kwd><kwd>problem drinking</kwd><kwd>screening questionnaires</kwd><kwd>young people</kwd><kwd>AUDIT</kwd><kwd>CAGE</kwd></kwd-group></article-meta></front><body><sec><title>Introduction</title><p>Harmful alcohol use is a significant public health problem that often begins early in adult life. Globally, an estimated 2 billion people drink alcohol and 76 million have alcohol use disorders (AUD) (WHO <xref rid="b87" ref-type="bibr">2004</xref>). The mean volume of pure alcohol consumed annually by adults globally has been estimated at about 5.0 l per capita (WHO <xref rid="b87" ref-type="bibr">2004</xref>). In Africa, annual consumption of pure alcohol has been estimated to range from 4.9 to 7.1 l per capita (WHO <xref rid="b87" ref-type="bibr">2004</xref>), although intake may be significantly higher because much alcohol consumption is believed to remain unrecorded (WHO <xref rid="b87" ref-type="bibr">2004</xref>). Alcohol use and AUD are associated with more than 60 medical conditions and injuries (WHO <xref rid="b87" ref-type="bibr">2004</xref>; Rehm <italic>et al</italic>. <xref rid="b72" ref-type="bibr">2006</xref>), and about 4% of global mortality and 5% of disability-adjusted life year's (DALYs) lost are attributed to alcohol use (Rehm <italic>et al</italic>. <xref rid="b73" ref-type="bibr">2009</xref>). In the African region, it is estimated that about 2.4% of deaths and 2.1% of DALYs lost are attributed to alcohol use and AUD (Rehm <italic>et al</italic>. <xref rid="b73" ref-type="bibr">2009</xref>). Adverse effects of alcohol use include increased risk of infectious diseases such as HIV/AIDS and TB, and chronic non-communicable diseases (NCD) (Makimoto & Higuchi <xref rid="b54" ref-type="bibr">1999</xref>; Horn-Ross <italic>et al</italic>. <xref rid="b37" ref-type="bibr">2004</xref>; WHO <xref rid="b87" ref-type="bibr">2004</xref>; Ahmed <italic>et al</italic>. <xref rid="b4" ref-type="bibr">2006</xref>; Chen <italic>et al</italic>. <xref rid="b20" ref-type="bibr">2008</xref>; Chong <italic>et al</italic>. <xref rid="b21" ref-type="bibr">2008</xref>; Brooks <italic>et al</italic>. <xref rid="b17" ref-type="bibr">2009</xref>; Genkinger <italic>et al</italic>. <xref rid="b32" ref-type="bibr">2009</xref>; Brandish & Sheron <xref rid="b16" ref-type="bibr">2010</xref>; Kahl <italic>et al</italic>. <xref rid="b39" ref-type="bibr">2010</xref>; Patra <italic>et al</italic>. <xref rid="b67" ref-type="bibr">2010</xref>; Stroffolini <italic>et al</italic>. <xref rid="b78" ref-type="bibr">2010</xref>), as well as intentional and unintentional injuries, and social problems such as domestic violence, unemployment and decreased work productivity (Gmel & Rehm <xref rid="b34" ref-type="bibr">2003</xref>; Fisher <italic>et al</italic>. <xref rid="b30" ref-type="bibr">2007</xref>; Kalichman <italic>et al</italic>. <xref rid="b40" ref-type="bibr">2007</xref>; Rehm <italic>et al</italic>. <xref rid="b73" ref-type="bibr">2009</xref>; Zaleski <italic>et al</italic>. <xref rid="b90" ref-type="bibr">2010</xref>; Abbey <xref rid="b1" ref-type="bibr">2011</xref>; Aldridge-Gerry <italic>et al</italic>. <xref rid="b5" ref-type="bibr">2011</xref>).</p><p>Factors associated with alcohol use include religion, personal income, education level, peer influence, having older sexual partners, stress and relatives and friends using alcohol (Smith <italic>et al</italic>. <xref rid="b77" ref-type="bibr">1993</xref>; Othieno & Obondo <xref rid="b66" ref-type="bibr">2000</xref>; Kuntsche <italic>et al</italic>. <xref rid="b48" ref-type="bibr">2005</xref>; Otieno & Ofulla <xref rid="b9" ref-type="bibr">2009</xref>; Ndetei <italic>et al</italic>. <xref rid="b63" ref-type="bibr">2009</xref>, <xref rid="b64" ref-type="bibr">2010</xref>; Namagembe <italic>et al</italic>. <xref rid="b62" ref-type="bibr">2010</xref>; Amemori <italic>et al</italic>. <xref rid="b8" ref-type="bibr">2011</xref>; Atwoli <italic>et al</italic>. <xref rid="b12" ref-type="bibr">2011</xref>). There are few data, on the patterns of use, harmful consequences of alcohol use among young people, or on the structural and individual factors that lead to the uptake and persistence of harmful alcohol use. A better understanding of the epidemiology of alcohol use among young people is therefore required to facilitate the design of effective alcohol-focused interventions in Africa in general and eastern Africa in particular.</p><p>The aim of this article is to systematically review published studies of alcohol use among young people in eastern Africa to estimate the prevalence of alcohol use and the extent of use of standardised alcohol screening questionnaires in preparation for future alcohol-focused intervention studies in this region. The specific objectives of the review were to (i) estimate the prevalence of alcohol use among specific groups of young people (15–24 years) in eastern Africa; (ii) determine the extent of use of standardised alcohol screening questionnaires [Alcohol Use Disorder Identification Test (AUDIT), Cut down, Annoyed, Guilt, Eye opener (CAGE) in identifying alcohol use and AUD in this region; (iii) assess the quality of research papers included in the review; and (iv) describe factors associated with initiation and persistence of alcohol use among young people in eastern Africa.</p></sec><sec sec-type="methods"><title>Methods</title><sec><title>Search strategy</title><p>Five databases (MEDLINE, EMBASE, Global Health, Africawide-information, and PsycINFO) were searched for publications to 30th June 2013. We used the following key terms: (alcohol use OR alcohol abuse) AND (young people OR adolescent OR teenage OR youth) AND (Africa OR Tanzania OR Kenya OR Uganda OR Ethiopia OR Seychelles OR Rwanda OR Eritrea OR Burundi OR Somalia OR Somaliland OR Comoros OR South-Sudan). (see search details for each database in <xref ref-type="supplementary-material" rid="SD1">Appendix S1</xref><italic>)</italic>.</p><p>Titles and abstracts of all records identified were screened independently by two authors (JMF and HAW), and consensus on potential eligibility reached. Studies were eligible if they were conducted in eastern Africa (Tanzania, Kenya, Uganda, Ethiopia, Seychelles, Rwanda, Eritrea, Burundi, Somalia, Somaliland, Comoros and South Sudan); and included prevalence of alcohol use for young people aged 15–24 years.</p><p>Guidelines on preferred reporting items for systematic reviews and meta-analyses (PRISMA) were used (Moher <italic>et al</italic>. <xref rid="b60" ref-type="bibr">2009</xref>). There is currently an emphasis to incorporate both qualitative and quantitative evidence in the systematic reviews (Pearson <xref rid="b68" ref-type="bibr">2004</xref>; Thomas <italic>et al</italic>. <xref rid="b82" ref-type="bibr">2004</xref>). However, in this review, we focused on determining the prevalence of alcohol use, which was the main objective and therefore we did not include qualitative research papers.</p></sec><sec><title>Data extraction</title><p>We used a data extraction form to collect the following information from each eligible article: (i) country; (ii) year the study was conducted; (iii) year of publication; (iv) study population (the general population, secondary school students, primary school students, female sex/bar workers, men who have sex with men, health care service attendees and university students); (v) sample size; (vi) definition of alcohol use (ever use, current use, use in the last year, problem drinking); (vii) prevalence of alcohol use and AUD (problem drinking as classified by CAGE and AUDIT); (viii) factors associated with the initiation and persistence of alcohol use; (ix) alcohol use screening questionnaires applied; and (x) complications associated with alcohol use.</p><p>A descriptive quality assessment of the final papers included in the meta-analysis was conducted using the modified quality assessment tool for systematic reviews of observational studies (QATSO) (Wong <italic>et al</italic>. <xref rid="b88" ref-type="bibr">2008</xref>). The original QATSO tool is composed of five quality categories that include external validity (sampling strategy used), reporting (response rate and objectivity of measurement), confounding factors, bias (privacy) and a final score based on the mentioned parameters. The primary outcome for this review is prevalence of alcohol use, and the reported response rate was modified to include three categories (>80%, 60–80%, <60%). The assessment of confounding was not required, as the studies did not provide adjustable information on risk factors for alcohol use. We did also not compute the overall final QATSO score based on the five quality categories.</p></sec><sec><title>Statistical analysis</title><p>We assessed the heterogeneity of prevalence estimates using the I<sup>2</sup> statistic (DerSimonian-Laird) and reported the prevalence for studies in four groups: (i) ever use of alcohol; (ii) alcohol use in the last year, (iii) alcohol use in the last month (current use) and (iv) problem drinking as defined by CAGE and AUDIT (Ewing <xref rid="b27" ref-type="bibr">1984</xref>; Dersimonian & Laird <xref rid="b25" ref-type="bibr">1986</xref>).</p><p>Due to significant heterogeneity between studies, we estimated the median prevalence for each group. We also performed meta-regression to analyse the association between current alcohol use and gender, study setting, and quality assessment parameters (sampling strategy, response rate, interview modality and data collection tool used).</p></sec></sec><sec sec-type="results"><title>Results</title><p>We identified 4013 published study citations from five databases, of which 1228 were duplicates. Thus, 2785 abstracts were screened for initial eligibility to identify studies conducted in eastern Africa. We identified 696 relevant abstracts of studies conducted in eastern Africa. We conducted further screening for studies reporting on alcohol use and identified 285 abstracts for full article review. Of these 285 abstracts for full article assessment, we could not access six full articles, 11 were review articles and five were conference posters.</p><p>Thus, we reviewed 263 full-text papers and identified 56 eligible for inclusion in the review. The main reason for exclusion was that the paper did not report information on alcohol use from the target population, that is, young people aged 15–24 years, or that young people were included but we could not separate the prevalence in this age group from that in older people (Figure <xref ref-type="fig" rid="fig01">1</xref>).</p><fig id="fig01" position="float"><label>Figure 1</label><caption><p>Flow Diagram for literature review.</p></caption><graphic xlink:href="tmi0019-0476-f1"></graphic></fig><p>Of the 56 eligible studies (Table <xref ref-type="table" rid="tbl1">1</xref>), five reported both current alcohol use and ever use, and one study reported current use and problem drinking and are included in each of these analyses (Zein <xref rid="b91" ref-type="bibr">1988</xref>; Gedif & Eshetu <xref rid="b31" ref-type="bibr">2007</xref>; Mbatia <italic>et al</italic>. <xref rid="b57" ref-type="bibr">2009</xref>; Luchters <italic>et al</italic>. <xref rid="b53" ref-type="bibr">2011</xref>; Kagimu <italic>et al</italic>. <xref rid="b38" ref-type="bibr">2012</xref>; Reda <italic>et al</italic>. <xref rid="b70" ref-type="bibr">2012</xref>). The majority of studies were cross-sectional (<italic>n</italic> = 54, 96%), and two were case–control studies. Almost all studies (<italic>n</italic> = 52, 93%) were conducted in four countries: Ethiopia (<italic>n</italic> = 19), Kenya (<italic>n</italic> = 15), Tanzania (<italic>n</italic> = 10) and Uganda (<italic>n</italic> = 8); the remaining four studies were conducted in Rwanda (<italic>n</italic> = 2), Seychelles (<italic>n</italic> = 1) and Eritrea (<italic>n</italic> = 1). Most studies (<italic>n</italic> = 36, 58%) reported current alcohol use, 17 studies reported ever use of alcohol, four studies reported alcohol use in the last year, and five studies reported problem drinking. Only two studies used the AUDIT alcohol use screening questionnaire (Mbatia <italic>et al</italic>. <xref rid="b57" ref-type="bibr">2009</xref>; Luchters <italic>et al</italic>. <xref rid="b53" ref-type="bibr">2011</xref>), and six used the CAGE questionnaire [one conducted among female sex workers, three among the general population and two among healthcare attenders (Alem <italic>et al</italic>. <xref rid="b6" ref-type="bibr">1999</xref>; Kebede & Alem <xref rid="b42" ref-type="bibr">1999</xref>; Ghebremichael <italic>et al</italic>. <xref rid="b33" ref-type="bibr">2009</xref>; Kullgren <italic>et al</italic>. <xref rid="b47" ref-type="bibr">2009</xref>; Namagembe <italic>et al</italic>. <xref rid="b62" ref-type="bibr">2010</xref>; Ao <italic>et al</italic>. <xref rid="b10" ref-type="bibr">2011</xref>)]. Of 48 studies that recruited both sexes, only 13 studies (27%) reported gender-specific prevalence of alcohol use. Four studies reported on the factors for initiation and persistence of alcohol use (Otieno & Ofulla <xref rid="b9" ref-type="bibr">2009</xref>; Ndetei <italic>et al</italic>. <xref rid="b64" ref-type="bibr">2010</xref>; Amemori <italic>et al</italic>. <xref rid="b8" ref-type="bibr">2011</xref>; Atwoli <italic>et al</italic>. <xref rid="b12" ref-type="bibr">2011</xref>).</p><table-wrap id="tbl1" position="float"><label>Table 1</label><caption><p>Description of studies included in the systematic review and meta-analysis</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="1" colspan="1">First author</th><th align="left" rowspan="1" colspan="1">Year the study conducted</th><th align="left" rowspan="1" colspan="1">Country</th><th align="left" rowspan="1" colspan="1">Study population</th><th align="center" rowspan="1" colspan="1">Sample size</th><th align="center" rowspan="1" colspan="1">Prevalence</th><th align="center" rowspan="1" colspan="1">95% CI of prevalence</th><th align="left" rowspan="1" colspan="1">Alcohol screening tool</th><th align="left" rowspan="1" colspan="1">Gender</th><th align="left" rowspan="1" colspan="1">Location</th></tr></thead><tbody><tr><td align="left" colspan="10" rowspan="1">Ever-used alcohol</td></tr><tr><td align="left" rowspan="1" colspan="1"> Taffa <italic>et al</italic>. (<xref rid="b80" ref-type="bibr">2002</xref>)</td><td align="left" rowspan="1" colspan="1">2000</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">561</td><td align="left" rowspan="1" colspan="1">15.7</td><td align="left" rowspan="1" colspan="1">12.7–18.7</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Mbatia <italic>et al</italic>. (<xref rid="b57" ref-type="bibr">2009</xref>)</td><td align="left" rowspan="1" colspan="1">2003</td><td align="left" rowspan="1" colspan="1">Tanzania</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">275</td><td align="left" rowspan="1" colspan="1">16.7</td><td align="left" rowspan="1" colspan="1">12.3–21.1</td><td align="left" rowspan="1" colspan="1">AUDIT</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Zablotska <italic>et al</italic>. (<xref rid="b89" ref-type="bibr">2009</xref>)</td><td align="left" rowspan="1" colspan="1">1994–2002</td><td align="left" rowspan="1" colspan="1">Uganda</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">3422</td><td align="left" rowspan="1" colspan="1">19.8</td><td align="left" rowspan="1" colspan="1">18.5–21.1</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Female</td><td align="left" rowspan="1" colspan="1">Rural</td></tr><tr><td align="left" rowspan="1" colspan="1"> Malaju and Asale (<xref rid="b55" ref-type="bibr">2013</xref>)</td><td align="left" rowspan="1" colspan="1">2012</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">405</td><td align="left" rowspan="1" colspan="1">31.6</td><td align="left" rowspan="1" colspan="1">27.1–36.1</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Both</td></tr><tr><td align="left" rowspan="1" colspan="1"> Bwana (<xref rid="b18" ref-type="bibr">1996</xref>)</td><td align="left" rowspan="1" colspan="1">Not reported</td><td align="left" rowspan="1" colspan="1">Kenya</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">306</td><td align="left" rowspan="1" colspan="1">54.9</td><td align="left" rowspan="1" colspan="1">49.3–60.5</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Rural</td></tr><tr><td align="left" rowspan="1" colspan="1"> Kagimu <italic>et al</italic>. (<xref rid="b38" ref-type="bibr">2012</xref>)</td><td align="left" rowspan="1" colspan="1">2010</td><td align="left" rowspan="1" colspan="1">Uganda</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">530</td><td align="left" rowspan="1" colspan="1">56.2</td><td align="left" rowspan="1" colspan="1">52.0–60.5</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Rural</td></tr><tr><td align="left" rowspan="1" colspan="1"> Fekadu and Alemayehu (<xref rid="b29" ref-type="bibr">2009</xref>)</td><td align="left" rowspan="1" colspan="1">2008</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">634</td><td align="left" rowspan="1" colspan="1">64.0</td><td align="left" rowspan="1" colspan="1">60.3–67.8</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Rural</td></tr><tr><td align="left" rowspan="1" colspan="1"> Ndetei <italic>et al</italic>. (<xref rid="b64" ref-type="bibr">2010</xref>)</td><td align="left" rowspan="1" colspan="1">Not reported</td><td align="left" rowspan="1" colspan="1">Kenya</td><td align="left" rowspan="1" colspan="1">Secondary school students</td><td align="left" rowspan="1" colspan="1">343</td><td align="left" rowspan="1" colspan="1">5.2</td><td align="left" rowspan="1" colspan="1">2.9–7.6</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Rural</td></tr><tr><td align="left" rowspan="1" colspan="1"> Reda <italic>et al</italic>. (<xref rid="b70" ref-type="bibr">2012</xref>)</td><td align="left" rowspan="1" colspan="1">2010</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">Secondary school students</td><td align="left" rowspan="1" colspan="1">1721</td><td align="left" rowspan="1" colspan="1">22.2</td><td align="left" rowspan="1" colspan="1">20.2–24.2</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Both</td></tr><tr><td align="left" rowspan="1" colspan="1"> Kuria (<xref rid="b49" ref-type="bibr">1996</xref>)</td><td align="left" rowspan="1" colspan="1">Not reported</td><td align="left" rowspan="1" colspan="1">Kenya</td><td align="left" rowspan="1" colspan="1">Secondary school students</td><td align="left" rowspan="1" colspan="1">952</td><td align="left" rowspan="1" colspan="1">53.0</td><td align="left" rowspan="1" colspan="1">49.9–56.2</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Both</td></tr><tr><td align="left" rowspan="1" colspan="1"> Otieno & Ofulla (<xref rid="b9" ref-type="bibr">2009</xref>)</td><td align="left" rowspan="1" colspan="1">Not reported</td><td align="left" rowspan="1" colspan="1">Kenya</td><td align="left" rowspan="1" colspan="1">Secondary school students</td><td align="left" rowspan="1" colspan="1">458</td><td align="left" rowspan="1" colspan="1">57.9</td><td align="left" rowspan="1" colspan="1">53.3–62.4</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Othieno and Obondo (<xref rid="b66" ref-type="bibr">2000</xref>)</td><td align="left" rowspan="1" colspan="1">1997</td><td align="left" rowspan="1" colspan="1">Kenya</td><td align="left" rowspan="1" colspan="1">Street children</td><td align="left" rowspan="1" colspan="1">50</td><td align="left" rowspan="1" colspan="1">14.0</td><td align="left" rowspan="1" colspan="1">4.4–23.6</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Atwoli <italic>et al</italic>. (<xref rid="b12" ref-type="bibr">2011</xref>)</td><td align="left" rowspan="1" colspan="1">2009</td><td align="left" rowspan="1" colspan="1">Kenya</td><td align="left" rowspan="1" colspan="1">University students</td><td align="left" rowspan="1" colspan="1">500</td><td align="left" rowspan="1" colspan="1">52.0</td><td align="left" rowspan="1" colspan="1">47.6–56.4</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Zein (<xref rid="b91" ref-type="bibr">1988</xref>)</td><td align="left" rowspan="1" colspan="1">1983</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">University students</td><td align="left" rowspan="1" colspan="1">485</td><td align="left" rowspan="1" colspan="1">70.1</td><td align="left" rowspan="1" colspan="1">66.0–74.2</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Gedif and Eshetu (<xref rid="b31" ref-type="bibr">2007</xref>)</td><td align="left" rowspan="1" colspan="1">2006</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">University students</td><td align="left" rowspan="1" colspan="1">674</td><td align="left" rowspan="1" colspan="1">81.6</td><td align="left" rowspan="1" colspan="1">78.7–84.5</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Twa-Twa <italic>et al</italic>. (<xref rid="b83" ref-type="bibr">2008</xref>)</td><td align="left" rowspan="1" colspan="1">2003</td><td align="left" rowspan="1" colspan="1">Uganda</td><td align="left" rowspan="1" colspan="1">Primary school students</td><td align="left" rowspan="1" colspan="1">1709</td><td align="left" rowspan="1" colspan="1">27.8</td><td align="left" rowspan="1" colspan="1">25.7–29.9</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Tegang <italic>et al</italic>. (<xref rid="b81" ref-type="bibr">2010</xref>)</td><td align="left" rowspan="1" colspan="1">2007</td><td align="left" rowspan="1" colspan="1">Kenya</td><td align="left" rowspan="1" colspan="1">Female sex workers</td><td align="left" rowspan="1" colspan="1">137</td><td align="left" rowspan="1" colspan="1">65.7</td><td align="left" rowspan="1" colspan="1">57.7–73.6</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Female</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" colspan="10" rowspan="1">Alcohol use in the last one year</td></tr><tr><td align="left" rowspan="1" colspan="1"> Rijken <italic>et al</italic>. (<xref rid="b74" ref-type="bibr">1998</xref>)</td><td align="left" rowspan="1" colspan="1">1993</td><td align="left" rowspan="1" colspan="1">Tanzania</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">34</td><td align="left" rowspan="1" colspan="1">20.6</td><td align="left" rowspan="1" colspan="1">7.0–34.2</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Rural</td></tr><tr><td align="left" rowspan="1" colspan="1"> Usman <italic>et al</italic>. (<xref rid="b84" ref-type="bibr">2006</xref>)</td><td align="left" rowspan="1" colspan="1">2004</td><td align="left" rowspan="1" colspan="1">Eritrea</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">490</td><td align="left" rowspan="1" colspan="1">29.4</td><td align="left" rowspan="1" colspan="1">25.4–33.4</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Both</td></tr><tr><td align="left" rowspan="1" colspan="1"> Mbona and Kasirye (<xref rid="b58" ref-type="bibr">2005</xref>)</td><td align="left" rowspan="1" colspan="1">2003</td><td align="left" rowspan="1" colspan="1">Uganda</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">247</td><td align="left" rowspan="1" colspan="1">33.6</td><td align="left" rowspan="1" colspan="1">27.7–39.5</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Rural</td></tr><tr><td align="left" rowspan="1" colspan="1"> Deressa and Azazh (<xref rid="b24" ref-type="bibr">2011</xref>)</td><td align="left" rowspan="1" colspan="1">2009</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">University students</td><td align="left" rowspan="1" colspan="1">608</td><td align="left" rowspan="1" colspan="1">22.0</td><td align="left" rowspan="1" colspan="1">18.7–25.3</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" colspan="10" rowspan="1">Current alcohol use</td></tr><tr><td align="left" rowspan="1" colspan="1"> Maru <italic>et al</italic>. (<xref rid="b56" ref-type="bibr">2003</xref>)</td><td align="left" rowspan="1" colspan="1">Not reported</td><td align="left" rowspan="1" colspan="1">Kenya</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">90</td><td align="left" rowspan="1" colspan="1">6.7</td><td align="left" rowspan="1" colspan="1">1.5–11.8</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Mbatia <italic>et al</italic>. (<xref rid="b57" ref-type="bibr">2009</xref>)</td><td align="left" rowspan="1" colspan="1">2003</td><td align="left" rowspan="1" colspan="1">Tanzania</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">275</td><td align="left" rowspan="1" colspan="1">9.8</td><td align="left" rowspan="1" colspan="1">6.3–13.3</td><td align="left" rowspan="1" colspan="1">AUDIT</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Hargreaves <italic>et al</italic>. (<xref rid="b35" ref-type="bibr">2002</xref>)</td><td align="left" rowspan="1" colspan="1">1996</td><td align="left" rowspan="1" colspan="1">Kenya</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">889</td><td align="left" rowspan="1" colspan="1">11</td><td align="left" rowspan="1" colspan="1">9.0–13.1</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Chande and Salum (<xref rid="b19" ref-type="bibr">2007</xref>)</td><td align="left" rowspan="1" colspan="1">NR</td><td align="left" rowspan="1" colspan="1">Tanzania</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">86</td><td align="left" rowspan="1" colspan="1">11.6</td><td align="left" rowspan="1" colspan="1">4.9–18.4</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Odero and Zwi (<xref rid="b65" ref-type="bibr">1997</xref>)</td><td align="left" rowspan="1" colspan="1">1995</td><td align="left" rowspan="1" colspan="1">Kenya</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">28</td><td align="left" rowspan="1" colspan="1">14.3</td><td align="left" rowspan="1" colspan="1">1.3–27.2</td><td align="left" rowspan="1" colspan="1">Breathalyser</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Molla <italic>et al</italic>. (<xref rid="b61" ref-type="bibr">2008</xref>)</td><td align="left" rowspan="1" colspan="1">2004</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">3044</td><td align="left" rowspan="1" colspan="1">17.9</td><td align="left" rowspan="1" colspan="1">16.5–19.3</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Both</td></tr><tr><td align="left" rowspan="1" colspan="1"> Khasakhala and Mturi (<xref rid="b44" ref-type="bibr">2008</xref>)</td><td align="left" rowspan="1" colspan="1">2002</td><td align="left" rowspan="1" colspan="1">Kenya</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">3639</td><td align="left" rowspan="1" colspan="1">19</td><td align="left" rowspan="1" colspan="1">17.7–20.3</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Both</td></tr><tr><td align="left" rowspan="1" colspan="1"> Derege <italic>et al</italic>. (<xref rid="b23" ref-type="bibr">2005</xref>)</td><td align="left" rowspan="1" colspan="1">2001–2002</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">20434</td><td align="left" rowspan="1" colspan="1">21.3</td><td align="left" rowspan="1" colspan="1">20.7–21.9</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Both</td></tr><tr><td align="left" rowspan="1" colspan="1"> Kitange <italic>et al</italic>. (<xref rid="b46" ref-type="bibr">1993</xref>)</td><td align="left" rowspan="1" colspan="1">Not reported</td><td align="left" rowspan="1" colspan="1">Tanzania</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">1467</td><td align="left" rowspan="1" colspan="1">23.5</td><td align="left" rowspan="1" colspan="1">21.3–25.7</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Both</td></tr><tr><td align="left" rowspan="1" colspan="1"> Kagimu <italic>et al</italic>. (<xref rid="b38" ref-type="bibr">2012</xref>)</td><td align="left" rowspan="1" colspan="1">2010</td><td align="left" rowspan="1" colspan="1">Uganda</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">530</td><td align="left" rowspan="1" colspan="1">30.8</td><td align="left" rowspan="1" colspan="1">26.8–34.7</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Rural</td></tr><tr><td align="left" rowspan="1" colspan="1"> Swahn <italic>et al</italic>. (<xref rid="b79" ref-type="bibr">2012</xref>)</td><td align="left" rowspan="1" colspan="1">2011</td><td align="left" rowspan="1" colspan="1">Uganda</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">461</td><td align="left" rowspan="1" colspan="1">32.5</td><td align="left" rowspan="1" colspan="1">28.3–36.8</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Betre <italic>et al</italic>. (<xref rid="b14" ref-type="bibr">1997</xref>)</td><td align="left" rowspan="1" colspan="1">1994–1995</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">1436</td><td align="left" rowspan="1" colspan="1">34.3</td><td align="left" rowspan="1" colspan="1">31.9–36.8</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Mnyika <italic>et al</italic>. (<xref rid="b59" ref-type="bibr">2011</xref>)</td><td align="left" rowspan="1" colspan="1">2002</td><td align="left" rowspan="1" colspan="1">Tanzania</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">926</td><td align="left" rowspan="1" colspan="1">34.6</td><td align="left" rowspan="1" colspan="1">31.9–37.3</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Rural</td></tr><tr><td align="left" rowspan="1" colspan="1"> Alemu <italic>et al</italic>. (<xref rid="b7" ref-type="bibr">2007</xref>)</td><td align="left" rowspan="1" colspan="1">2003</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">628</td><td align="left" rowspan="1" colspan="1">43.8</td><td align="left" rowspan="1" colspan="1">39.9–47.7</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Boris <italic>et al</italic>. (<xref rid="b15" ref-type="bibr">2008</xref>)</td><td align="left" rowspan="1" colspan="1">2004</td><td align="left" rowspan="1" colspan="1">Rwanda</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">539</td><td align="left" rowspan="1" colspan="1">49.2</td><td align="left" rowspan="1" colspan="1">44.9–53.4</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Rural</td></tr><tr><td align="left" rowspan="1" colspan="1"> Tengia-Kessy <italic>et al</italic>. (<xref rid="b45" ref-type="bibr">2010</xref>)</td><td align="left" rowspan="1" colspan="1">1995</td><td align="left" rowspan="1" colspan="1">Tanzania</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">1104</td><td align="left" rowspan="1" colspan="1">60</td><td align="left" rowspan="1" colspan="1">57.1–62.9</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Rural</td></tr><tr><td align="left" rowspan="1" colspan="1"> Namagembe <italic>et al</italic>. (<xref rid="b62" ref-type="bibr">2010</xref>)</td><td align="left" rowspan="1" colspan="1">2006</td><td align="left" rowspan="1" colspan="1">Uganda</td><td align="left" rowspan="1" colspan="1">Healthcare service</td><td align="left" rowspan="1" colspan="1">384</td><td align="left" rowspan="1" colspan="1">16.4</td><td align="left" rowspan="1" colspan="1">12.7–20.1</td><td align="left" rowspan="1" colspan="1">CAGE</td><td align="left" rowspan="1" colspan="1">Female</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Kullgren <italic>et al</italic>. (<xref rid="b47" ref-type="bibr">2009</xref>)</td><td align="left" rowspan="1" colspan="1">2007</td><td align="left" rowspan="1" colspan="1">Uganda</td><td align="left" rowspan="1" colspan="1">Healthcare service</td><td align="left" rowspan="1" colspan="1">76</td><td align="left" rowspan="1" colspan="1">21.1</td><td align="left" rowspan="1" colspan="1">11.9–30.2</td><td align="left" rowspan="1" colspan="1">CAGE</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Hassan <italic>et al</italic>. (<xref rid="b36" ref-type="bibr">2005</xref>)</td><td align="left" rowspan="1" colspan="1">1999</td><td align="left" rowspan="1" colspan="1">Kenya</td><td align="left" rowspan="1" colspan="1">Healthcare service</td><td align="left" rowspan="1" colspan="1">45</td><td align="left" rowspan="1" colspan="1">24.4</td><td align="left" rowspan="1" colspan="1">11.9–37.0</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Ayuku and Odero (<xref rid="b13" ref-type="bibr">2002</xref>)</td><td align="left" rowspan="1" colspan="1">1995–1996</td><td align="left" rowspan="1" colspan="1">Kenya</td><td align="left" rowspan="1" colspan="1">Healthcare service</td><td align="left" rowspan="1" colspan="1">778</td><td align="left" rowspan="1" colspan="1">26.5</td><td align="left" rowspan="1" colspan="1">23.4–29.6</td><td align="left" rowspan="1" colspan="1">Breathalyser</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Both</td></tr><tr><td align="left" rowspan="1" colspan="1"> Luchters <italic>et al</italic>. (<xref rid="b53" ref-type="bibr">2011</xref>)</td><td align="left" rowspan="1" colspan="1">2008</td><td align="left" rowspan="1" colspan="1">Kenya</td><td align="left" rowspan="1" colspan="1">Male sex workers</td><td align="left" rowspan="1" colspan="1">222</td><td align="left" rowspan="1" colspan="1">68.9</td><td align="left" rowspan="1" colspan="1">62.8–75.0</td><td align="left" rowspan="1" colspan="1">AUDIT</td><td align="left" rowspan="1" colspan="1">Male</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Kebede and Ketsela (<xref rid="b43" ref-type="bibr">1993</xref>)</td><td align="left" rowspan="1" colspan="1">1989–1990</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">Secondary school students</td><td align="left" rowspan="1" colspan="1">519</td><td align="left" rowspan="1" colspan="1">9.2</td><td align="left" rowspan="1" colspan="1">6.8–11.7</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Dhadphale <italic>et al</italic>. (<xref rid="b26" ref-type="bibr">1982</xref>)</td><td align="left" rowspan="1" colspan="1">Not reported</td><td align="left" rowspan="1" colspan="1">Kenya</td><td align="left" rowspan="1" colspan="1">Secondary school students</td><td align="left" rowspan="1" colspan="1">2918</td><td align="left" rowspan="1" colspan="1">10.3</td><td align="left" rowspan="1" colspan="1">9.2–11.4</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Both</td></tr><tr><td align="left" rowspan="1" colspan="1"> Reda <italic>et al</italic>. (<xref rid="b70" ref-type="bibr">2012</xref>)</td><td align="left" rowspan="1" colspan="1">2010</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">Secondary school students</td><td align="left" rowspan="1" colspan="1">1721</td><td align="left" rowspan="1" colspan="1">10.4</td><td align="left" rowspan="1" colspan="1">9.0–11.8</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Both</td></tr><tr><td align="left" rowspan="1" colspan="1"> Shiferaw <italic>et al</italic>. (<xref rid="b75" ref-type="bibr">2011</xref>)</td><td align="left" rowspan="1" colspan="1">2009</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">Secondary school students</td><td align="left" rowspan="1" colspan="1">240</td><td align="left" rowspan="1" colspan="1">26.7</td><td align="left" rowspan="1" colspan="1">21.1–32.3</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Rural</td></tr><tr><td align="left" rowspan="1" colspan="1"> Tengia-Kessy <italic>et al</italic>. (<xref rid="b45" ref-type="bibr">2010</xref>)</td><td align="left" rowspan="1" colspan="1">2008</td><td align="left" rowspan="1" colspan="1">Tanzania</td><td align="left" rowspan="1" colspan="1">Secondary school students</td><td align="left" rowspan="1" colspan="1">400</td><td align="left" rowspan="1" colspan="1">39.0</td><td align="left" rowspan="1" colspan="1">34.2–43.8</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Van Decraen <italic>et al</italic>. (<xref rid="b85" ref-type="bibr">2012</xref>)</td><td align="left" rowspan="1" colspan="1">Not reported</td><td align="left" rowspan="1" colspan="1">Rwanda</td><td align="left" rowspan="1" colspan="1">Secondary school students</td><td align="left" rowspan="1" colspan="1">285</td><td align="left" rowspan="1" colspan="1">43.9</td><td align="left" rowspan="1" colspan="1">38.1–49.6</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Rural</td></tr><tr><td align="left" rowspan="1" colspan="1"> Lioul and Jemal (<xref rid="b52" ref-type="bibr">2009</xref>)</td><td align="left" rowspan="1" colspan="1">2005</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">Secondary school students</td><td align="left" rowspan="1" colspan="1">810</td><td align="left" rowspan="1" colspan="1">51.5</td><td align="left" rowspan="1" colspan="1">48.0–54.9</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Faeh <italic>et al</italic>. (<xref rid="b28" ref-type="bibr">2006</xref>)</td><td align="left" rowspan="1" colspan="1">Not reported</td><td align="left" rowspan="1" colspan="1">Seychelles</td><td align="left" rowspan="1" colspan="1">Secondary school students</td><td align="left" rowspan="1" colspan="1">390</td><td align="left" rowspan="1" colspan="1">60.5</td><td align="left" rowspan="1" colspan="1">55.7–65.4</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Arnold <italic>et al</italic>. (<xref rid="b11" ref-type="bibr">2008</xref>)</td><td align="left" rowspan="1" colspan="1">2006</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">University students</td><td align="left" rowspan="1" colspan="1">1330</td><td align="left" rowspan="1" colspan="1">19.2</td><td align="left" rowspan="1" colspan="1">17.1–21.3</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Female</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Regassa and Kedir (<xref rid="b71" ref-type="bibr">2011</xref>)</td><td align="left" rowspan="1" colspan="1">2010</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">University students</td><td align="left" rowspan="1" colspan="1">606</td><td align="left" rowspan="1" colspan="1">29.7</td><td align="left" rowspan="1" colspan="1">26.1–33.3</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Amemori <italic>et al</italic>. (<xref rid="b8" ref-type="bibr">2011</xref>)</td><td align="left" rowspan="1" colspan="1">2006</td><td align="left" rowspan="1" colspan="1">Tanzania</td><td align="left" rowspan="1" colspan="1">University students</td><td align="left" rowspan="1" colspan="1">66</td><td align="left" rowspan="1" colspan="1">30.3</td><td align="left" rowspan="1" colspan="1">19.2–41.4</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Zein (<xref rid="b91" ref-type="bibr">1988</xref>)</td><td align="left" rowspan="1" colspan="1">1983</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">University students</td><td align="left" rowspan="1" colspan="1">485</td><td align="left" rowspan="1" colspan="1">31.1</td><td align="left" rowspan="1" colspan="1">27.0–35.3</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Philpart <italic>et al</italic>. (<xref rid="b69" ref-type="bibr">2009</xref>)</td><td align="left" rowspan="1" colspan="1">2006</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">University students</td><td align="left" rowspan="1" colspan="1">1378</td><td align="left" rowspan="1" colspan="1">31.2</td><td align="left" rowspan="1" colspan="1">28.8–33.7</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Male</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Gedif and Eshetu (<xref rid="b31" ref-type="bibr">2007</xref>)</td><td align="left" rowspan="1" colspan="1">2006</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">University students</td><td align="left" rowspan="1" colspan="1">674</td><td align="left" rowspan="1" colspan="1">31.2</td><td align="left" rowspan="1" colspan="1">27.7–34.7</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Agardh <italic>et al</italic>. (<xref rid="b2" ref-type="bibr">2011</xref>)</td><td align="left" rowspan="1" colspan="1">2005</td><td align="left" rowspan="1" colspan="1">Uganda</td><td align="left" rowspan="1" colspan="1">University students</td><td align="left" rowspan="1" colspan="1">980</td><td align="left" rowspan="1" colspan="1">41.1</td><td align="left" rowspan="1" colspan="1">38.0–44.2</td><td align="left" rowspan="1" colspan="1">None</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Rural</td></tr><tr><td align="left" colspan="10" rowspan="1">Problem drinking</td></tr><tr><td align="left" rowspan="1" colspan="1"> Kebede and Alem (<xref rid="b42" ref-type="bibr">1999</xref>)</td><td align="left" rowspan="1" colspan="1">1994</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">4586</td><td align="left" rowspan="1" colspan="1">1.2</td><td align="left" rowspan="1" colspan="1">0.9–1.5</td><td align="left" rowspan="1" colspan="1">CAGE</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Alem <italic>et al</italic>. (<xref rid="b6" ref-type="bibr">1999</xref>)</td><td align="left" rowspan="1" colspan="1">Not reported</td><td align="left" rowspan="1" colspan="1">Ethiopia</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">2997</td><td align="left" rowspan="1" colspan="1">2.6</td><td align="left" rowspan="1" colspan="1">2.0–3.2</td><td align="left" rowspan="1" colspan="1">CAGE</td><td align="left" rowspan="1" colspan="1">Both</td><td align="left" rowspan="1" colspan="1">Rural</td></tr><tr><td align="left" rowspan="1" colspan="1"> Ghebremichael <italic>et al</italic>. (<xref rid="b33" ref-type="bibr">2009</xref>)</td><td align="left" rowspan="1" colspan="1">2002–2003</td><td align="left" rowspan="1" colspan="1">Tanzania</td><td align="left" rowspan="1" colspan="1">General population</td><td align="left" rowspan="1" colspan="1">214</td><td align="left" rowspan="1" colspan="1">15.0</td><td align="left" rowspan="1" colspan="1">10.2–19.7</td><td align="left" rowspan="1" colspan="1">CAGE</td><td align="left" rowspan="1" colspan="1">Female</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Ao <italic>et al</italic>. (<xref rid="b10" ref-type="bibr">2011</xref>)</td><td align="left" rowspan="1" colspan="1">2002–2006</td><td align="left" rowspan="1" colspan="1">Tanzania</td><td align="left" rowspan="1" colspan="1">Female bar workers</td><td align="left" rowspan="1" colspan="1">723</td><td align="left" rowspan="1" colspan="1">36.2</td><td align="left" rowspan="1" colspan="1">32.7–39.7</td><td align="left" rowspan="1" colspan="1">CAGE</td><td align="left" rowspan="1" colspan="1">Female</td><td align="left" rowspan="1" colspan="1">Urban</td></tr><tr><td align="left" rowspan="1" colspan="1"> Luchters <italic>et al</italic>. (<xref rid="b53" ref-type="bibr">2011</xref>)</td><td align="left" rowspan="1" colspan="1">2008</td><td align="left" rowspan="1" colspan="1">Kenya</td><td align="left" rowspan="1" colspan="1">Male sex workers</td><td align="left" rowspan="1" colspan="1">222</td><td align="left" rowspan="1" colspan="1">46.8</td><td align="left" rowspan="1" colspan="1">40.0–53.0</td><td align="left" rowspan="1" colspan="1">AUDIT</td><td align="left" rowspan="1" colspan="1">Male</td><td align="left" rowspan="1" colspan="1">Urban</td></tr></tbody></table><table-wrap-foot><fn><p>AUDIT, Alcohol Use Disorder Identification Test.</p></fn></table-wrap-foot></table-wrap><p>In general, studies were of high quality (Table <xref ref-type="table" rid="tbl2">2</xref>). Most (<italic>n</italic> = 42, 75%) used probability-based sampling and had a response rate above 80% (<italic>n</italic> = 33; 58.9%). However, 17 studies did not report the response rate (Bwana <xref rid="b18" ref-type="bibr">1996</xref>; Kuria <xref rid="b49" ref-type="bibr">1996</xref>; Odero & Zwi <xref rid="b65" ref-type="bibr">1997</xref>; Othieno & Obondo <xref rid="b66" ref-type="bibr">2000</xref>; Taffa <italic>et al</italic>. <xref rid="b80" ref-type="bibr">2002</xref>; Maru <italic>et al</italic>. <xref rid="b56" ref-type="bibr">2003</xref>; Ayuku & Odero <xref rid="b13" ref-type="bibr">2002</xref>; Hassan <italic>et al</italic>. <xref rid="b36" ref-type="bibr">2005</xref>; Mbona & Kasirye <xref rid="b58" ref-type="bibr">2005</xref>; Chande & Salum <xref rid="b19" ref-type="bibr">2007</xref>; Khasakhala & Mturi <xref rid="b44" ref-type="bibr">2008</xref>; Molla <italic>et al</italic>. <xref rid="b61" ref-type="bibr">2008</xref>; Tengia-Kessy <italic>et al</italic>. <xref rid="b45" ref-type="bibr">2010</xref>; Ndetei <italic>et al</italic>. <xref rid="b64" ref-type="bibr">2010</xref>; Ao <italic>et al</italic>. <xref rid="b10" ref-type="bibr">2011</xref>; Atwoli <italic>et al</italic>. <xref rid="b12" ref-type="bibr">2011</xref>; Regassa & Kedir <xref rid="b71" ref-type="bibr">2011</xref>). Two-thirds of the studies employed a face-to-face interviewing approach, and a third of studies used self-administered questionnaires; however, all but two studies used self-reported alcohol use. The remaining studies used the alcohol breathalyser (Odero & Zwi <xref rid="b65" ref-type="bibr">1997</xref>; Ayuku & Odero <xref rid="b13" ref-type="bibr">2002</xref>).</p><table-wrap id="tbl2" position="float"><label>Table 2</label><caption><p>Quality of the papers included in the systematic review and meta-analysis</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="1" colspan="1">Quality variable</th><th align="left" rowspan="1" colspan="1">Quality variable categories</th><th align="left" rowspan="1" colspan="1">Number of studies</th><th align="left" rowspan="1" colspan="1">Proportion (%)</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Sampling</td><td align="left" rowspan="1" colspan="1">Non probability</td><td align="left" rowspan="1" colspan="1">14</td><td align="left" rowspan="1" colspan="1">25.0</td></tr><tr><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Probability</td><td align="left" rowspan="1" colspan="1">42</td><td align="left" rowspan="1" colspan="1">75.0</td></tr><tr><td align="left" rowspan="1" colspan="1">Alcohol use information collection</td><td align="left" rowspan="1" colspan="1">Breathalyser</td><td align="left" rowspan="1" colspan="1">2</td><td align="left" rowspan="1" colspan="1">3.6</td></tr><tr><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Alcohol Use Disorder Identification Test</td><td align="left" rowspan="1" colspan="1">2</td><td align="left" rowspan="1" colspan="1">3.6</td></tr><tr><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">CAGE</td><td align="left" rowspan="1" colspan="1">6</td><td align="left" rowspan="1" colspan="1">10.7</td></tr><tr><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Other self-reports</td><td align="left" rowspan="1" colspan="1">46</td><td align="left" rowspan="1" colspan="1">82.1</td></tr><tr><td align="left" rowspan="1" colspan="1">Response rate</td><td align="left" rowspan="1" colspan="1">Between 60 and 80%</td><td align="left" rowspan="1" colspan="1">6</td><td align="left" rowspan="1" colspan="1">10.7</td></tr><tr><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Above 80%</td><td align="left" rowspan="1" colspan="1">33</td><td align="left" rowspan="1" colspan="1">58.9</td></tr><tr><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Not reported</td><td align="left" rowspan="1" colspan="1">17</td><td align="left" rowspan="1" colspan="1">30.4</td></tr><tr><td align="left" rowspan="1" colspan="1">Interview modality</td><td align="left" rowspan="1" colspan="1">Face to face</td><td align="left" rowspan="1" colspan="1">36</td><td align="left" rowspan="1" colspan="1">64.3</td></tr><tr><td rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Self-administered</td><td align="left" rowspan="1" colspan="1">20</td><td align="left" rowspan="1" colspan="1">35.7</td></tr></tbody></table></table-wrap><sec><title>Ever use of alcohol</title><p>Figure <xref ref-type="fig" rid="fig02">2</xref> shows the prevalence of reported ever use of alcohol by population groups, including female sex workers, street children, primary school students, secondary school students, general population and university students. Prevalence of reported ever use was highest in the studies among university students [median = 70% interquartile range (IQR): 52–82%] and female sex workers (66%; 95%CI 58–74%). The median prevalence in the four studies among secondary school students was 37% (IQR: 23–56%), although the range was wide, with one study from rural Kenya (Ndetei <italic>et al</italic>. <xref rid="b64" ref-type="bibr">2010</xref>) reporting a prevalence of only 5%. Prevalence was lower among the primary school students (28%; 95%CI: 26–30%), general populations (median = 32%, IQR 17–56%), and among street children 14% (95%CI: 4–24%). Three studies reported gender-specific prevalence of ever-used alcohol; the prevalence was high among females in primary school (36% <italic>vs</italic> 23%) and street children (21% <italic>vs</italic> 11%) and high in male university students (53% <italic>vs</italic> 50%). There was significant heterogeneity based on I<sup>2</sup> statistics in all subgroups, and therefore, we do not report pooled prevalence.</p><fig id="fig02" position="float"><label>Figure 2</label><caption><p>Prevalence of ever use of alcohol among studies included in the systematic review and meta-analysis.</p></caption><graphic xlink:href="tmi0019-0476-f2"></graphic></fig></sec><sec><title>Use of alcohol in the past 12 months</title><p>Four studies reported the prevalence of alcohol use in the last 12 months. These showed similar levels as found for reported current alcohol use. Three studies were from the general population (median prevalence = 29%, IQR: 21–34%) with a pooled prevalence of 30% (95%CI: 27–33%) and one from university students (prevalence = 22%, 95%CI: 19–25%). One study reported gender-specific prevalence; it was high among males (34% <italic>vs</italic> 17%).</p></sec><sec><title>Current use of alcohol</title><p>Current alcohol use may be more relevant than ever use for designing intervention strategies. The prevalence of reported current alcohol use is presented in Figure <xref ref-type="fig" rid="fig03">3</xref> for general populations, healthcare service attendees, male sex workers, secondary school students and university students. Heterogeneity was highest in studies conducted in general populations and among secondary school students. The prevalence was highest in the one study among male sex workers (69%; 95%CI: 63–75%). Median prevalence among secondary school students was 33% (IQR: 10–48%) and 31% (IQR: 30–31%) among university students and was lower in the general population (median 22%; IQR: 13–34%) and healthcare attenders (median 23%; IQR: 16–24%). Eight studies reported gender-specific prevalences. The median prevalence was high among males; 21% (IQR: 7–26%) <italic>vs</italic>. 9%(IQR: 9–20%) in the general population, 28% (IQR: 13–44%) <italic>vs</italic> 19%(IQR: 7–32%) among healthcare service attenders, 60% (IQR: 56–63%) <italic>vs</italic>. 41% (IQR: 24–58%) in secondary schools, and 43% <italic>vs</italic>. 28% in a university. There was no significant heterogeneity in studies conducted among university students except one study among female university students (Arnold <italic>et al</italic>. <xref rid="b11" ref-type="bibr">2008</xref>). Reported current alcohol use was more common among males than females and not associated with other factors.</p><fig id="fig03" position="float"><label>Figure 3</label><caption><p>Prevalence of current alcohol use among studies included in the systematic review and meta-analysis.</p></caption><graphic xlink:href="tmi0019-0476-f3"></graphic></fig></sec><sec><title>Problem drinking</title><p>Problem drinking among young people was reported in five studies, three from the general population, one from female bar workers and one from male sex workers. The prevalence of problem drinking was 36% (95%CI: 33–40%) among female bar workers and 47% (95%CI: 40–53%) among male sex workers. Median prevalence in the general population was 3% (IQR: 1–15%); two of the studies in the general population were from Ethiopia and showed low levels of problem drinking (1–3%), but a study from Tanzania reported a rather high median prevalence of 15% (95%CI: 10–20%).</p><p>In this review, eight studies reported problematic drinking, two studies applied AUDIT, and six (13%) used CAGE to screen for problem drinking; two of the studies that applied CAGE and one study that applied AUDIT did not report scores according to age groups (Kullgren <italic>et al</italic>. <xref rid="b47" ref-type="bibr">2009</xref>; Mbatia <italic>et al</italic>. <xref rid="b57" ref-type="bibr">2009</xref>; Namagembe <italic>et al</italic>. <xref rid="b62" ref-type="bibr">2010</xref>).</p></sec></sec><sec sec-type="discussion"><title>Discussion</title><p>Among young people in eastern Africa, alcohol use is common and its extent of use varies between specific populations and settings. Due to high level of heterogeneity between studies, we did not report pooled prevalence. The prevalence of reported ever use was highest among university students (70%) and female sex workers (66%) and lower among the general population and primary school students. Few studies reported alcohol use in the last year, and median prevalence in the general population was 29%. Reported current alcohol use was highest among male sex workers (69%), followed by the university students (33%), and was lowest in the general population and secondary school students with the exception of one study in the Seychelles that reported a high prevalence of 61%. Problem drinking was highest among groups known to engage in high-risk behaviours (such as bar workers and sex workers). Generally, reported alcohol use across all definitions of use was highest among groups known to engage in high-risk behaviours, followed by university students. Individuals attending healthcare services and general populations and secondary school students reported the lowest prevalence. Studies included in this review were of good quality; however, about two-thirds employed face-to-face interviewing approaches, an approach prone to social desirability bias that could lead to underreporting of alcohol use.</p><p>The varied prevalence of reported alcohol use among groups of young people is potentially due to specific population characteristics (general population <italic>vs</italic>. students <italic>vs</italic>. sex workers). We also attribute these variations to social influence and peer pressure (Smith & Foxcroft <xref rid="b76" ref-type="bibr">2009</xref>; Li <italic>et al</italic>. <xref rid="b50" ref-type="bibr">2010a</xref>,<xref rid="b51" ref-type="bibr">b</xref>). For example, the high prevalence of reported alcohol use among secondary school students from the Seychelles may be attributed to the relatively high purchase power of young people in this study population (Faeh <italic>et al</italic>. <xref rid="b28" ref-type="bibr">2006</xref>). In addition, study settings, gender and use of non-standardised alcohol screening questionnaires could partially explain these variations.</p><p>Problem drinking was common among young sex workers and female bar workers. Several factors may have contributed to this, including the intertwined nature of bar work and transactional sex – the negotiation of commercial sex usually involves drinking. Also bar workers' psychosocial history, multiple sexual partners, level of education, religion, marital status, number of pregnancies and living conditions, for example, not living within the drinking establishment were found to influence problematic drinking in studies from eastern Africa (Ao <italic>et al</italic>. <xref rid="b10" ref-type="bibr">2011</xref>; Kagimu <italic>et al</italic>. <xref rid="b86" ref-type="bibr">2013</xref>).</p><p>The varied prevalence of reported alcohol use for specific groups of young people and the varied risk factors associated with it implies that the need for alcohol interventions is not uniform for all groups of young people. The interventions should address specific needs of a targeted group. For example, in the eastern Africa context, we may need to develop specific strategies to reduce harmful alcohol use among college students, bar workers and commercial sex workers.</p><p>An important finding of our review was lack of data on the initiation and persistence of alcohol use among young people in this region. Few studies mentioned factors associated with the initiation of alcohol use, such as peer influence, family and friends, religion and sexual experiences (Otieno & Ofulla <xref rid="b9" ref-type="bibr">2009</xref>; Ndetei <italic>et al</italic>. <xref rid="b64" ref-type="bibr">2010</xref>; Amemori <italic>et al</italic>. <xref rid="b8" ref-type="bibr">2011</xref>; Atwoli <italic>et al</italic>. <xref rid="b12" ref-type="bibr">2011</xref>). Future studies should aim to elicit in-depth information on social factors influencing alcohol use to inform potential interventions.</p><p>The use of effective and validated instruments for the screening and assessment of alcohol use is essential to guide research and is important for the design and evaluation of interventions. AUDIT is validated and recommended by WHO for use at the primary healthcare settings and for the assessment of AUD in developing countries (Saunders <italic>et al</italic>. <xref rid="b502" ref-type="bibr">1993</xref>; Chishinga <italic>et al</italic>. <xref rid="b501" ref-type="bibr">2011</xref>; Kapiga <italic>et al</italic>. 2013); it is, however, not widely used for the assessment of AUD among young people in general populations. In our review, only two studies used the internationally recommended AUDIT alcohol screening questionnaire (Mbatia <italic>et al</italic>. <xref rid="b57" ref-type="bibr">2009</xref>; Luchters <italic>et al</italic>. <xref rid="b53" ref-type="bibr">2011</xref>).</p></sec><sec><title>Conclusion</title><p>Reported alcohol use among young people in eastern Africa is common and varies between different populations. The prevalence of AUD was highest among populations known to engage in high-risk sexual behaviours, but was also high among students in some of the studies. The studies reviewed lacked data about initiation and persistence of alcohol use, and little information was available about risk factors associated with alcohol use, and AUD. Notably, only few of the studies reviewed used internationally recommended and validated screening questionnaires such as AUDIT. Future epidemiological studies on alcohol use among young people should apply these questionnaires to facilitate comparison. However, such questionnaires have not been evaluated among young people in Africa, and studies closing this knowledge gap are therefore also required. Future studies should also determine factors responsible for initiation, persistence, and patterns of use in preparation for potential interventions. There is an urgent need of targeted interventions for groups of young people with a particularly high risk of alcohol use and AUD such as college students and young sex workers.</p></sec></body><back><ack><p>This work was supported by the Training Health Researchers into Vocational Excellence (THRiVE) in East Africa, Grant number 087540, funded by Wellcome Trust, MRC UK MITU core fund, and the STRIVE research programme consortium funded by UK's Department for International Development. 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