Depression, suicidality, and alcohol use disorder among people living with HIV/AIDS in Nigeria
Identifieur interne : 000793 ( Pmc/Corpus ); précédent : 000792; suivant : 000794Depression, suicidality, and alcohol use disorder among people living with HIV/AIDS in Nigeria
Auteurs : Catherine O. Egbe ; Patrick S. Dakum ; Ernest Ekong ; Brandon A. Kohrt ; John G. Minto ; Cynthia J. TicaoSource :
- BMC Public Health [ 1471-2458 ] ; 2017.
Abstract
People Living with HIV/AIDS (PLHIV) face various day-to-day and long-term personal, interpersonal, social, physical and psychological challenges as a result of, and in addition to the health conditions they are susceptible to due to their HIV status. There is a dearth of large-scale research to provide robust prevalence estimates of mental health problems among PLHIV, especially in Nigeria. This study aimed to ascertain the prevalence and factors associated with major depressive episodes, suicidality, and alcohol use disorder among people living with HIV/AIDS in Nigeria.
A survey of 1187 participants aged 18 years and above was conducted within three HIV treatment centres in Abuja, Nigeria. Depression, suicidality, and alcohol use disorder modules of the WHO World Mental Health Composite International Diagnostic Interview questionnaire were used for this study. A socio-demographic questionnaire was also used to collect other health and demographic data. Descriptive statistics (frequency distribution, percentage, mean, median, mode, and standard deviation) and regression analyses were conducted to explore associations between mental health problems and demographic and other health-related factors.
Twelve-month prevalence rates were 28.2% for major depressive episodes, 2.9% for suicidal ideation, 2.3% for suicide attempts, 7.8% for harmful alcohol use, 7.0% for alcohol abuse, and 2.2% for alcohol dependence. Major depressive episodes were significantly associated with having planned suicide and marital status. Suicidal ideation was significantly associated with major depressive episodes, marital status, and religion. Females were less likely to be diagnosed with alcohol disorders.
Some people living with HIV/AIDS also tend to suffer from depression, suicidality, and alcohol use disorders. These findings highlight the need for the integration of mental health services into HIV/AIDS care in Nigeria.
Url:
DOI: 10.1186/s12889-017-4467-5
PubMed: 28577548
PubMed Central: 5457576
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PMC:5457576Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Depression, suicidality, and alcohol use disorder among people living with HIV/AIDS in Nigeria</title><author><name sortKey="Egbe, Catherine O" sort="Egbe, Catherine O" uniqKey="Egbe C" first="Catherine O." last="Egbe">Catherine O. Egbe</name><affiliation><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2297 6811</institution-id><institution-id institution-id-type="GRID">grid.266102.1</institution-id><institution>Center for Tobacco Control Research and Education,</institution><institution>University of California San Francisco,</institution></institution-wrap>530 Parnassus Avenue, Suite 366, San Francisco, CA 94143 USA</nlm:aff></affiliation></author><author><name sortKey="Dakum, Patrick S" sort="Dakum, Patrick S" uniqKey="Dakum P" first="Patrick S." last="Dakum">Patrick S. Dakum</name><affiliation><nlm:aff id="Aff2"><institution-wrap><institution-id institution-id-type="GRID">grid.421160.0</institution-id><institution></institution><institution>Institute of Human Virology, Nigeria,</institution></institution-wrap>252 Herbert Macaulay Way, Central Business District, Abuja, Nigeria</nlm:aff></affiliation></author><author><name sortKey="Ekong, Ernest" sort="Ekong, Ernest" uniqKey="Ekong E" first="Ernest" last="Ekong">Ernest Ekong</name><affiliation><nlm:aff id="Aff2"><institution-wrap><institution-id institution-id-type="GRID">grid.421160.0</institution-id><institution></institution><institution>Institute of Human Virology, Nigeria,</institution></institution-wrap>252 Herbert Macaulay Way, Central Business District, Abuja, Nigeria</nlm:aff></affiliation></author><author><name sortKey="Kohrt, Brandon A" sort="Kohrt, Brandon A" uniqKey="Kohrt B" first="Brandon A." last="Kohrt">Brandon A. Kohrt</name><affiliation><nlm:aff id="Aff3"><institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1936 7961</institution-id><institution-id institution-id-type="GRID">grid.26009.3d</institution-id><institution>Duke Global Health Institute & Department of Psychiatry,</institution><institution>Duke University,</institution></institution-wrap>Box 90519, Durham, NC 27708 USA</nlm:aff></affiliation></author><author><name sortKey="Minto, John G" sort="Minto, John G" uniqKey="Minto J" first="John G." last="Minto">John G. Minto</name><affiliation><nlm:aff id="Aff4">Gede Foundation Nigeria, 13 Danube Street, Abuja, Nigeria</nlm:aff></affiliation></author><author><name sortKey="Ticao, Cynthia J" sort="Ticao, Cynthia J" uniqKey="Ticao C" first="Cynthia J." last="Ticao">Cynthia J. Ticao</name><affiliation><nlm:aff id="Aff4">Gede Foundation Nigeria, 13 Danube Street, Abuja, Nigeria</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">28577548</idno><idno type="pmc">5457576</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5457576</idno><idno type="RBID">PMC:5457576</idno><idno type="doi">10.1186/s12889-017-4467-5</idno><date when="2017">2017</date><idno type="wicri:Area/Pmc/Corpus">000793</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000793</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Depression, suicidality, and alcohol use disorder among people living with HIV/AIDS in Nigeria</title><author><name sortKey="Egbe, Catherine O" sort="Egbe, Catherine O" uniqKey="Egbe C" first="Catherine O." last="Egbe">Catherine O. Egbe</name><affiliation><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2297 6811</institution-id><institution-id institution-id-type="GRID">grid.266102.1</institution-id><institution>Center for Tobacco Control Research and Education,</institution><institution>University of California San Francisco,</institution></institution-wrap>530 Parnassus Avenue, Suite 366, San Francisco, CA 94143 USA</nlm:aff></affiliation></author><author><name sortKey="Dakum, Patrick S" sort="Dakum, Patrick S" uniqKey="Dakum P" first="Patrick S." last="Dakum">Patrick S. Dakum</name><affiliation><nlm:aff id="Aff2"><institution-wrap><institution-id institution-id-type="GRID">grid.421160.0</institution-id><institution></institution><institution>Institute of Human Virology, Nigeria,</institution></institution-wrap>252 Herbert Macaulay Way, Central Business District, Abuja, Nigeria</nlm:aff></affiliation></author><author><name sortKey="Ekong, Ernest" sort="Ekong, Ernest" uniqKey="Ekong E" first="Ernest" last="Ekong">Ernest Ekong</name><affiliation><nlm:aff id="Aff2"><institution-wrap><institution-id institution-id-type="GRID">grid.421160.0</institution-id><institution></institution><institution>Institute of Human Virology, Nigeria,</institution></institution-wrap>252 Herbert Macaulay Way, Central Business District, Abuja, Nigeria</nlm:aff></affiliation></author><author><name sortKey="Kohrt, Brandon A" sort="Kohrt, Brandon A" uniqKey="Kohrt B" first="Brandon A." last="Kohrt">Brandon A. Kohrt</name><affiliation><nlm:aff id="Aff3"><institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1936 7961</institution-id><institution-id institution-id-type="GRID">grid.26009.3d</institution-id><institution>Duke Global Health Institute & Department of Psychiatry,</institution><institution>Duke University,</institution></institution-wrap>Box 90519, Durham, NC 27708 USA</nlm:aff></affiliation></author><author><name sortKey="Minto, John G" sort="Minto, John G" uniqKey="Minto J" first="John G." last="Minto">John G. Minto</name><affiliation><nlm:aff id="Aff4">Gede Foundation Nigeria, 13 Danube Street, Abuja, Nigeria</nlm:aff></affiliation></author><author><name sortKey="Ticao, Cynthia J" sort="Ticao, Cynthia J" uniqKey="Ticao C" first="Cynthia J." last="Ticao">Cynthia J. Ticao</name><affiliation><nlm:aff id="Aff4">Gede Foundation Nigeria, 13 Danube Street, Abuja, Nigeria</nlm:aff></affiliation></author></analytic><series><title level="j">BMC Public Health</title><idno type="eISSN">1471-2458</idno><imprint><date when="2017">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>People Living with HIV/AIDS (PLHIV) face various day-to-day and long-term personal, interpersonal, social, physical and psychological challenges as a result of, and in addition to the health conditions they are susceptible to due to their HIV status. There is a dearth of large-scale research to provide robust prevalence estimates of mental health problems among PLHIV, especially in Nigeria. This study aimed to ascertain the prevalence and factors associated with major depressive episodes, suicidality, and alcohol use disorder among people living with HIV/AIDS in Nigeria.</p></sec><sec><title>Methods</title><p>A survey of 1187 participants aged 18 years and above was conducted within three HIV treatment centres in Abuja, Nigeria. Depression, suicidality, and alcohol use disorder modules of the WHO World Mental Health Composite International Diagnostic Interview questionnaire were used for this study. A socio-demographic questionnaire was also used to collect other health and demographic data. Descriptive statistics (frequency distribution, percentage, mean, median, mode, and standard deviation) and regression analyses were conducted to explore associations between mental health problems and demographic and other health-related factors.</p></sec><sec><title>Results</title><p>Twelve-month prevalence rates were 28.2% for major depressive episodes, 2.9% for suicidal ideation, 2.3% for suicide attempts, 7.8% for harmful alcohol use, 7.0% for alcohol abuse, and 2.2% for alcohol dependence. Major depressive episodes were significantly associated with having planned suicide and marital status. Suicidal ideation was significantly associated with major depressive episodes, marital status, and religion. Females were less likely to be diagnosed with alcohol disorders.</p></sec><sec><title>Conclusions</title><p>Some people living with HIV/AIDS also tend to suffer from depression, suicidality, and alcohol use disorders. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">BMC Public Health</journal-id><journal-id journal-id-type="iso-abbrev">BMC Public Health</journal-id><journal-title-group><journal-title>BMC Public Health</journal-title></journal-title-group><issn pub-type="epub">1471-2458</issn><publisher><publisher-name>BioMed Central</publisher-name><publisher-loc>London</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">28577548</article-id><article-id pub-id-type="pmc">5457576</article-id><article-id pub-id-type="publisher-id">4467</article-id><article-id pub-id-type="doi">10.1186/s12889-017-4467-5</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>Depression, suicidality, and alcohol use disorder among people living with HIV/AIDS in Nigeria</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Egbe</surname><given-names>Catherine O.</given-names></name><address><phone>+1-415-476-2265</phone><email>Catherine.Egbe@ucsf.edu</email></address><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>Dakum</surname><given-names>Patrick S.</given-names></name><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author"><name><surname>Ekong</surname><given-names>Ernest</given-names></name><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author"><name><surname>Kohrt</surname><given-names>Brandon A.</given-names></name><xref ref-type="aff" rid="Aff3">3</xref></contrib><contrib contrib-type="author"><name><surname>Minto</surname><given-names>John G.</given-names></name><xref ref-type="aff" rid="Aff4">4</xref></contrib><contrib contrib-type="author"><name><surname>Ticao</surname><given-names>Cynthia J.</given-names></name><xref ref-type="aff" rid="Aff4">4</xref></contrib><aff id="Aff1"><label>1</label><institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2297 6811</institution-id><institution-id institution-id-type="GRID">grid.266102.1</institution-id><institution>Center for Tobacco Control Research and Education,</institution><institution>University of California San Francisco,</institution></institution-wrap>530 Parnassus Avenue, Suite 366, San Francisco, CA 94143 USA</aff><aff id="Aff2"><label>2</label><institution-wrap><institution-id institution-id-type="GRID">grid.421160.0</institution-id><institution></institution><institution>Institute of Human Virology, Nigeria,</institution></institution-wrap>252 Herbert Macaulay Way, Central Business District, Abuja, Nigeria</aff><aff id="Aff3"><label>3</label><institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1936 7961</institution-id><institution-id institution-id-type="GRID">grid.26009.3d</institution-id><institution>Duke Global Health Institute & Department of Psychiatry,</institution><institution>Duke University,</institution></institution-wrap>Box 90519, Durham, NC 27708 USA</aff><aff id="Aff4"><label>4</label>Gede Foundation Nigeria, 13 Danube Street, Abuja, Nigeria</aff></contrib-group><pub-date pub-type="epub"><day>2</day><month>6</month><year>2017</year></pub-date><pub-date pub-type="pmc-release"><day>2</day><month>6</month><year>2017</year></pub-date><pub-date pub-type="collection"><year>2017</year></pub-date><volume>17</volume><elocation-id>542</elocation-id><history><date date-type="received"><day>20</day><month>12</month><year>2016</year></date><date date-type="accepted"><day>25</day><month>5</month><year>2017</year></date></history><permissions><copyright-statement>© The Author(s). 2017</copyright-statement><license license-type="OpenAccess"><license-p><bold>Open Access</bold>This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">http://creativecommons.org/publicdomain/zero/1.0/</ext-link>) applies to the data made available in this article, unless otherwise stated.</license-p></license></permissions><abstract id="Abs1"><sec><title>Background</title><p>People Living with HIV/AIDS (PLHIV) face various day-to-day and long-term personal, interpersonal, social, physical and psychological challenges as a result of, and in addition to the health conditions they are susceptible to due to their HIV status. There is a dearth of large-scale research to provide robust prevalence estimates of mental health problems among PLHIV, especially in Nigeria. This study aimed to ascertain the prevalence and factors associated with major depressive episodes, suicidality, and alcohol use disorder among people living with HIV/AIDS in Nigeria.</p></sec><sec><title>Methods</title><p>A survey of 1187 participants aged 18 years and above was conducted within three HIV treatment centres in Abuja, Nigeria. Depression, suicidality, and alcohol use disorder modules of the WHO World Mental Health Composite International Diagnostic Interview questionnaire were used for this study. A socio-demographic questionnaire was also used to collect other health and demographic data. Descriptive statistics (frequency distribution, percentage, mean, median, mode, and standard deviation) and regression analyses were conducted to explore associations between mental health problems and demographic and other health-related factors.</p></sec><sec><title>Results</title><p>Twelve-month prevalence rates were 28.2% for major depressive episodes, 2.9% for suicidal ideation, 2.3% for suicide attempts, 7.8% for harmful alcohol use, 7.0% for alcohol abuse, and 2.2% for alcohol dependence. Major depressive episodes were significantly associated with having planned suicide and marital status. Suicidal ideation was significantly associated with major depressive episodes, marital status, and religion. Females were less likely to be diagnosed with alcohol disorders.</p></sec><sec><title>Conclusions</title><p>Some people living with HIV/AIDS also tend to suffer from depression, suicidality, and alcohol use disorders. These findings highlight the need for the integration of mental health services into HIV/AIDS care in Nigeria.</p></sec></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>HIV/AIDS</kwd><kwd>Depression</kwd><kwd>Alcohol use disorder</kwd><kwd>Suicidality</kwd><kwd>Nigeria</kwd></kwd-group><funding-group><award-group><funding-source><institution>Gede Foundation, Abuja, Nigeria</institution></funding-source></award-group></funding-group><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>© The Author(s) 2017</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="Sec1"><title>Background</title><p>Sub-Saharan Africa accounts for about 70% of the global HIV burden with a 4.4% prevalence as of 2015 [<xref ref-type="bibr" rid="CR1">1</xref>]. Nigeria is the most populous nation in Africa with an estimated population of over 170 million people [<xref ref-type="bibr" rid="CR2">2</xref>]. HIV prevalence in Nigeria as of 2015 was 3.2% (amounting to about 3.5 million people living with HIV in the country) [<xref ref-type="bibr" rid="CR3">3</xref>]. The emergence of the HIV/AIDS pandemic brought with it many burdens on the society, health system, families, and the people who are infected with HIV [<xref ref-type="bibr" rid="CR4">4</xref>]. At the onset of the pandemic, initial interventions focused mainly on how to reduce infection rates and the death rates of those already infected with the virus [<xref ref-type="bibr" rid="CR4">4</xref>]. Globally, attention is now being increasingly drawn towards improving the quality of life of people living with HIV/AIDS (PLHIV) [<xref ref-type="bibr" rid="CR5">5</xref>]. This trend is important especially with the positive strides already gained in the fight against AIDS over the years regarding improved anti-retroviral drugs (ARVs), leading to increased life expectancy of people infected with the virus, as well as, reduced rates of new infection [<xref ref-type="bibr" rid="CR5">5</xref>].</p><p>The reason for the shift in the focus of the care for PLHIV is due to the co-morbidity of HIV infection with many other diseases (apart from the established opportunistic infections) which tend to reduce the quality of life of PLHIV. For example, it has been found in various studies within and outside Nigeria that many PLHIV also suffer from depression and other mental disorders [<xref ref-type="bibr" rid="CR6">6</xref>–<xref ref-type="bibr" rid="CR16">16</xref>]. Common mental disorders (CMDs) are also more common among PLHIV than in the general population [<xref ref-type="bibr" rid="CR17">17</xref>, <xref ref-type="bibr" rid="CR18">18</xref>]. CMDs have been known to increase disease progression among PLHIV and are the leading cause of disability among PLHIV [<xref ref-type="bibr" rid="CR17">17</xref>]. Some of the reasons proffered for the higher prevalence of CMDs among PLHIV include decreased adherence to antiretroviral therapy [<xref ref-type="bibr" rid="CR19">19</xref>], emotional stress associated with the knowledge of one’s HIV-positive status [<xref ref-type="bibr" rid="CR20">20</xref>], externalized and internalized AIDS-related stigma [<xref ref-type="bibr" rid="CR21">21</xref>] and a compromised immune system [<xref ref-type="bibr" rid="CR21">21</xref>].</p><p>A systematic review on depression among PLHIV on anti-retroviral therapy (ART) in sub-Saharan Africa reported a pooled estimate of 31.2% (95% CI 25.5–38.2%) prevalence of depressive symptoms among this population [<xref ref-type="bibr" rid="CR9">9</xref>]. This systematic review included 30 studies from 10 countries in sub-Saharan Africa (three studies were from Nigeria) with a pooled sample size of over 10,000 participants [<xref ref-type="bibr" rid="CR9">9</xref>]. In a study carried out in Lagos, Nigeria, about 29% of PLHIV were diagnosed with depression using the Hamilton Depression Scale Rating, [<xref ref-type="bibr" rid="CR15">15</xref>] though this study had a small sample size (<italic>n</italic> = 87). Depression is linked with a poorer health-related quality of life and poor adherence to drug regimen among PLHIV [<xref ref-type="bibr" rid="CR6">6</xref>, <xref ref-type="bibr" rid="CR22">22</xref>]. In a study carried out in Kano State, Nigeria, with 162 PLHIV aged 15 to 25 years using the Hospital Anxiety and Depression Scale, the prevalence of depression was found to be about 40% [<xref ref-type="bibr" rid="CR12">12</xref>]. Another study involving 310 PLHIV in the city of Zaria in Kaduna State, using the Centre for Epidemiological Studies Depression Scale (CES-D), found 21% of PLHIV had significant depressive symptoms [<xref ref-type="bibr" rid="CR22">22</xref>]. The fairly wide variation in the results from studies investigating the prevalence of depression among PLHIV in Nigeria may be partly linked to the sample sizes which are relatively small and the differences in the geographical location where these studies were carried out.</p><p>Suicidality, which includes suicidal ideation, self-harm, suicide attempt and completion of suicide [<xref ref-type="bibr" rid="CR23">23</xref>], is another mental health concern for PLHIV [<xref ref-type="bibr" rid="CR23">23</xref>–<xref ref-type="bibr" rid="CR25">25</xref>]. Poor quality of life is a determinant of suicidal ideation among PLHIV [<xref ref-type="bibr" rid="CR24">24</xref>]. Early identification and treatment of PLHIV with suicidal ideation will help to improve their mental health, adherence to treatment and overall quality of life [<xref ref-type="bibr" rid="CR26">26</xref>]. In their study of PLHIV in the United States, Carrico et al., and Kalichman et al., found 19% and 26% of their participants reporting suicidal ideation respectively [<xref ref-type="bibr" rid="CR24">24</xref>, <xref ref-type="bibr" rid="CR25">25</xref>]. A study by Chikezie et al. among PLHIV in Benin City, Nigeria, using item 9 of the Beck Depression Inventory version 2 (BDI-II) [<xref ref-type="bibr" rid="CR27">27</xref>], found that 34.7% (<italic>n</italic> = 150) of the study participants experienced suicidal ideation in the month prior to the study while 9.3% had attempted suicide 6 months prior to the study [<xref ref-type="bibr" rid="CR27">27</xref>].</p><p>Alcohol use among PLHIV is also an issue of concern to health care and public health professionals because it tends to interfere with the treatment pathway of HIV/AIDS and the infection pathway of the virus [<xref ref-type="bibr" rid="CR28">28</xref>, <xref ref-type="bibr" rid="CR29">29</xref>]. Research has found the misuse of alcohol to be associated with the risk of HIV infection [<xref ref-type="bibr" rid="CR30">30</xref>] and with risky sexual behaviour among PLHIV [<xref ref-type="bibr" rid="CR9">9</xref>, <xref ref-type="bibr" rid="CR31">31</xref>]. Alcohol use can interfere with the efficacy of ARVs as well as drug adherence, thus reducing the treatment outcome associated with the use of such drugs [<xref ref-type="bibr" rid="CR32">32</xref>]. Risky sexual behaviours like engaging in unprotected sex and having multiple sexual partners especially by PLHIV are the major drivers of the HIV infection [<xref ref-type="bibr" rid="CR33">33</xref>]. When carried out with other PLHIV, such risky behaviour can lead to the transmission of drug resistant strains of the virus thus leading to HIV treatment failure [<xref ref-type="bibr" rid="CR34">34</xref>, <xref ref-type="bibr" rid="CR35">35</xref>]. The development of drug-resistant strains of HIV would, in turn, creates the need for more research to develop new drugs which will likely be more expensive [<xref ref-type="bibr" rid="CR35">35</xref>]. There is limited information on the prevalence of alcohol use disorder among PLHIV in Nigeria. One study involving 399 PLHIV conducted in Abuja, Nigeria using the Alcohol Use Disorders Identification Test (AUDIT) found a 12% prevalence of hazardous alcohol use among this subpopulation [<xref ref-type="bibr" rid="CR30">30</xref>].</p><p>Our study aimed to build on previous studies on the prevalence of depression, suicidality and alcohol use disorder among PLHIV in Nigeria and Sub-Saharan Africa, by providing more robust estimates of the prevalence of these mental disorders using a larger sample size and the use of multiple HIV treatment sites. This study was conducted to provide stronger evidence to inform the provision of mental health care for PLHIV in Nigeria and other similar settings. Studies have shown psychiatric co-morbidity exists both in the general population and among PLHIV in other settings [<xref ref-type="bibr" rid="CR36">36</xref>–<xref ref-type="bibr" rid="CR38">38</xref>] hence our investigating the co-morbidity of depression, suicidality and alcohol use disorder in this study. We also investigated demographic and other health-related factors associated with depression, suicidality, and alcohol use disorder among PLHIV in Abuja, Nigeria.</p></sec><sec id="Sec2"><title>Methods</title><sec id="Sec3"><title>Study design and setting</title><p>This study employed a cross-sectional quantitative survey research design using a structured, interviewer-administered clinical assessment tool, the World Health Organization (WHO) World Mental Health Composite International Diagnostic Interview (WMH-CIDI) questionnaire. The study was conducted in Abuja, Federal Capital Territory (FCT), Nigeria. Nigeria is made up of 36 states and the FCT, Abuja which are further grouped into six geopolitical zones (GPZs). Three GPZs are located in northern Nigeria i.e. North-east, North-central, and North-west GPZs, while southern Nigeria comprises the South-west, South-east and South-south GPZs. Abuja is part of the North-central GPZ. This study was conducted in three HIV treatment centres in Abuja. HIV treatment centres are health centres dedicated to provide anti-retroviral therapy (ART) to PLHIV. These centres are run by government and non-governmental organisations in Nigeria.</p></sec><sec id="Sec4"><title>Study population</title><p>The study was carried out among the PLHIV who were receiving services at HIV treatment centres located in the FCT, Abuja as at January 2015. Based on available records from the National Agency for the Control of AIDS (NACA) in Nigeria, there was an estimated population of 787,282 PLHIV who were either in-care or on ART at 38 dedicated treatment centres in Abuja (excluding HIV treatment sites which cater for the prevention of mother-to-child transmission of HIV).</p></sec><sec id="Sec5"><title>Study sample</title><p>The study sample was drawn from three conveniently-sampled HIV treatment centres located in the FCT. These treatment sites were selected based mainly on the availability of well-kept patient’s records which facilitated the randomization of the study participants and the ability to retrieve contact details of potential study participants. The individual inclusion criteria for participating in this study were: being HIV+, being 18 years and above, and seeking or receiving treatment in one of the three HIV treatment centres involved in this study. The exclusion criteria were: being HIV+ and pregnant, being under the age of 18, and not being able to communicate in English or Hausa languages.</p><p>The software Epi-info [<xref ref-type="bibr" rid="CR39">39</xref>] was used to arrive at a sample size of 1081 for the study using a population size of 787,282 PLHIV in the study area (based on available records from NACA) and with a 99.9% confidence level. Previous prevalence of 31.2% for depression among PLHIV in sub-Saharan Africa [<xref ref-type="bibr" rid="CR9">9</xref>] was used in the power calculation since depression has the highest prevalence among the three mental disorders this study covers. However, to cater for attrition, 1200 participants were targeted for recruitment in the study.</p><p>For each of the study sites, participants were recruited in five sample cohorts. This categorization was done to ensure the recruitment of all categories of PLHIV in order to obtain a representative sample. The five cohorts include patients who:<list list-type="alpha-lower"><list-item><p>Are not on drugs but fall under the “care and monitoring” classification</p></list-item><list-item><p>Have been on ART for less than 1 month</p></list-item><list-item><p>Have been on ART for between one and 6 months</p></list-item><list-item><p>Have been on ART for more than 6 months and</p></list-item><list-item><p>Patients on second-line drugs</p></list-item></list></p></sec><sec id="Sec6"><title>Sampling procedure</title><p>A stratified random sampling design with proportional allocation of the sample [<xref ref-type="bibr" rid="CR40">40</xref>] was used to ascertain the sample size for each cohort and for each of the study sites. This procedure involved an initial proportional calculation of the sample size for each of the sampled study sites (Table <xref rid="Tab1" ref-type="table">1</xref>) using a target total sample of 1200. This calculation was followed by a proportional calculation of the sample size per cohort per site (Table <xref rid="Tab1" ref-type="table">1</xref>). The five cohorts served as the categories into which participants were stratified. Data of PLHIV registered in each of the study sites were obtained from the Institute of Human Virology, Nigeria (IHVN).<table-wrap id="Tab1"><label>Table 1</label><caption><p>Distribution of population of PLHIV and sample size by study site by cohort</p></caption><table frame="hsides" rules="groups"><thead><tr><th>Treatment site</th><th>Site 1</th><th>Site 2</th><th>Site 3</th><th>Total</th></tr><tr><th>Cohort</th><th>(Pop.; Sample)</th><th>(Pop.; Sample)</th><th>(Pop.; Sample)</th><th>(Pop.; Sample)</th></tr></thead><tbody><tr><td>In care</td><td>357 (29)</td><td>59 (5)</td><td>542 (44)</td><td>958 (78)</td></tr><tr><td>On art for <1 month</td><td>40 (3)</td><td>30 (2)</td><td>980 (79)</td><td>1050 (84)</td></tr><tr><td>On art for 1 month > × < 6 months</td><td>144 (12)</td><td>145 (12)</td><td>3455 (278)</td><td>3744 (302)</td></tr><tr><td>On art for >6 months</td><td>4653 (375)</td><td>1374 (111)</td><td>1444 (116)</td><td>7471 (602)</td></tr><tr><td>On second-line drugs</td><td>379 (30)</td><td>137 (11)</td><td>1152 (93)</td><td>1668 (134)</td></tr><tr><td>Total (Population; Sample)</td><td>5573 (449)</td><td>1745 (141)</td><td>7573 (610)</td><td>14,891 (1200)</td></tr></tbody></table></table-wrap></p></sec><sec id="Sec7"><title>Calculation of sample size by study site by cohort</title><p>The proportionate sample size for each treatment site was calculated using the formula:</p><p>Sample x = Population X/14,891 (total number of PLHIV in the 3 study sites)*1200 (where ‘x’ is the calculated sample size for the study site, and ‘X’ = the total number of clients at that study site).</p><p>Systematic sampling technique was then used to select potential participants for the study in each cohort and for each site using the clients’ list provided by the IHVN. Systematic sampling involves the use of a list of the population of potential participants and choosing, in a systematic way, participants who will form the sample of a study [<xref ref-type="bibr" rid="CR41">41</xref>]. This sampling technique has the advantage of creating a sample that is comprehensive and representative of the population and includes randomization which gives every potential participant equal chance to be selected [<xref ref-type="bibr" rid="CR41">41</xref>]. Sampled participants were contacted by phone or on their clinic days to join the study at a date and time convenient to them. Also, efforts were made to locate participants whose telephone numbers were unreachable during their scheduled clinic days. Supplementary lists of potential participants were created for each cohort and for each study site. These supplementary lists were used to call up potential participants when the names on the main study lists were exhausted. A total of 1187 participants were interviewed for this study (i.e. 98.9% recruitment rate).</p></sec><sec id="Sec8"><title>Instruments for data collection</title><p>The research instrument used for this study was the interviewer-administered paper and pencil instrument (PAPI, version 7.1) of the WMH-CIDI questionnaire. Specific modules of this instrument relevant for this study were the depression, suicidality, and the alcohol use disorder questionnaires (<ext-link ext-link-type="uri" xlink:href="https://www.hcp.med.harvard.edu/wmhcidi/download-the-who-wmh-cidi-instruments/">https://www.hcp.med.harvard.edu/wmhcidi/download-the-who-wmh-cidi-instruments/</ext-link>). The screening section of the WMH-CIDI was merged with a socio-demographic questionnaire created by the research team. Additions made to this section of the CIDI instrument include questions on: participants’ state of origin, number of persons in household, date of first diagnosis of HIV, religion, number of children, highest level of education attained, employment status, estimated monthly household income. A team of researchers from Gede Foundation headed by Cynthia Ticao were trained on how to administer the WMH-CIDI by certified trainers at the University of Ibadan, Nigeria. Members of this team then trained all interviewers who conducted the fieldwork for this study.</p><p>The WHO WMH-CIDI has been validated and used for conducting research in many countries [<xref ref-type="bibr" rid="CR42">42</xref>–<xref ref-type="bibr" rid="CR44">44</xref>]. A critical review of validity and reliability studies of the CIDI carried out by Wittchen [<xref ref-type="bibr" rid="CR42">42</xref>] showed that this instrument has been extensively used in clinical and other related research with good-to-excellent kappa coefficients for most of its diagnostic sections as determined by test-retest and inter-rater reliability studies [<xref ref-type="bibr" rid="CR45">45</xref>, <xref ref-type="bibr" rid="CR46">46</xref>]. Wittchen also reported that the CIDI has been judged to be an acceptable instrument for use in various kinds of settings and countries [<xref ref-type="bibr" rid="CR42">42</xref>]. The WHO WMH-CIDI has also been used in the Nigerian context with acceptable reliability and validity [<xref ref-type="bibr" rid="CR44">44</xref>]. The Hausa language version of the CIDI used in this study was sourced from Dr. Abdulaziz Muhammad of the Kaduna Psychiatric Hospital, Nigeria who had used it in a previous study [<xref ref-type="bibr" rid="CR47">47</xref>]. The Hausa version has been previously validated following the World Health Organisation’s protocol for translation and adaptation of research instruments [<xref ref-type="bibr" rid="CR48">48</xref>] and used for the World Mental Health survey in Nigeria [<xref ref-type="bibr" rid="CR49">49</xref>, <xref ref-type="bibr" rid="CR50">50</xref>].</p></sec><sec id="Sec9"><title>Data collection procedure</title><p>Data collection occurred from June to October, 2015 (18 weeks). Interviewers possessed Bachelor’s degrees in any health-related field/discipline or psychology and at least one-year work experience with a recognized research institution/project. Thirteen interviewers were recruited (10 English speaking and 3 Hausa speaking). After undergoing a five-day training workshop on how to use the CIDI tool and their role as interviewers, interviewers practiced using the instrument for 2 weeks with PLHIV who were not clients receiving treatment from any of the selected treatment sites where the study took place.</p></sec><sec id="Sec10"><title>Recruiting study participants</title><p>The recruitment of study participants was carried out by Site Trackers (STs) who were known by all patients at the treatment sites. STs were staff of the HIV treatment centres recruited to assist in the study by providing logistic support. Six STs were involved in this study. STs were responsible for recruiting participants following a pre-determined procedure contained in the research protocol as follows: STs contacted potential participants telephonically or in person during the patients’ regular clinic appointment with their doctor; STs ascertained potential participant’s eligibility and availability using a Recruitment Form. The form contained the exclusion questions (i.e., age and pregnancy status), appointment dates, and preferred language for the interview during the telephone call or on-site recruitment. STs obtained interim consent from potential participants at this stage after briefing them of what the study is about and their rights to anonymity, confidentiality, and ability to withdraw at any stage of the research.</p><p>Data were simultaneously collected in all three study sites within the study area. Three Hausa interviewers conducted interviews for participants who preferred to be interviewed in Hausa language. A total of 3, 2, and 5 interviewers were assigned to sites 1, 2, and 3, respectively according to their relative sample sizes. In addition, one Hausa interviewer was present in each of the three study sites. For quality assurance, weekly site visits were made to all study sites by members of the research team during the period of the fieldwork. One of the interviewers served as on-field Project Coordinator to oversee logistics, recruitment, and to write weekly field reports. A debriefing session was held with interviewers on Fridays of each working week during the period of the fieldwork to ensure quality control throughout the fieldwork exercise. These sessions were used to collect feedback and address any pressing issues faced by interviewers on the field.</p><p>Interviewers conducted an average of 91 interviews each (maximum = 118; minimum = 22 interviews) during the entire period of the study. Participants who did not screen positive for depression, suicidality and alcohol use disorder exited the interview earlier and did not proceed to the core modules in accordance with the ‘skip question’ pattern of the CIDI.</p></sec><sec id="Sec11"><title>Data analysis</title><p>Before the analysis, data collected were coded and entered into Microsoft Excel programme. The Excel datasheet was then converted to and cleaned in the Statistical Package for the Social Sciences (SPSS) version 21 [<xref ref-type="bibr" rid="CR51">51</xref>]. Descriptive statistics (frequency distribution, percentage, mean, median, mode and standard deviation) were first used to explore the data and to present results of prevalence and socio-demographic data. Logistic regression analyses were carried out to ascertain the associations between depression, suicidality, alcohol use disorder, and demographic and health related factors. An alpha level of 0.05 was used for all analyses.</p></sec><sec id="Sec12"><title>Relationship between depression, suicidality, alcohol use disorder and other key variables</title><p>Demographic and health-related variables of interest (Table <xref rid="Tab4" ref-type="table">4</xref>) were initially investigated using Chi Square test and linear regression (for the variable ‘age’ only) to determine which variables had significant relationship with the five dependent variables of interest: major depressive episode, lifetime suicidal ideation, ever planned suicide, alcohol dependence and harmful alcohol abuse. Only variables having significant relationship (at <italic>p</italic> < .05) with the dependent variables of interest were included in the respective logistic regression models. Direct logistic regression analyses were carried out to explore the strength of the associations between these variables (Table <xref rid="Tab5" ref-type="table">5</xref>).</p></sec></sec><sec id="Sec13"><title>Results</title><sec id="Sec14"><title>Demographic details of respondents</title><p>Participants in the study came from all six GPZs which is typical of the capital city of Nigeria. A total of 1059 (89.2%) and 128 (10.8%) participants were interviewed in English and Hausa languages, respectively. The sample comprised 66.5% female (<italic>n</italic> = 789) and 33.5% (<italic>n</italic> = 398) males. The mean age of participants was 39.3 years (<italic>SD</italic> = 9.1) with the youngest participant being 18 years, while the oldest was 79 years. The modal age was 35 years (7.8%; <italic>n</italic> = 93). Number of participants on ART was 1146 (96.5%) while those not on ART were 41 (3.5%). On average, participants reported having five persons per household (<italic>SD</italic> = 3.27). Twenty-two participants (1.9%) did not know when they were diagnosed of HIV while one participant (0.1%) was diagnosed 25 years ago.</p><sec id="Sec15"><title>Participants’ state of origin</title><p>Participants originated from all the states in Nigeria except two (Lagos and Yobe States). There was also one participant from Togo. The state with the highest number of participants was Benue (<italic>n</italic> = 198; 16.7%), while the lowest was Sokoto (<italic>n</italic> = 1; 0.1%). Almost 50% of the participants came from five states: Benue (<italic>n</italic> = 198; 16.7%); Kaduna (<italic>n</italic> = 142; 12.0%); Kogi (<italic>n</italic> = 122; 10.3%); Nasarawa (<italic>n</italic> = 94; 7.9%) and Enugu (<italic>n</italic> = 62; 5.2%) States.</p></sec><sec id="Sec16"><title>Marriage-like relationship</title><p>These were participants (usually two adults; male and female) co-habiting and in a relationship which has not been officially solemnized by any form of formal marriage. A total of 16.4% (<italic>n</italic> = 195) of the participants indicated being in a marriage-like relationship. Other demographic characteristics of the study participants are presented in Table <xref rid="Tab2" ref-type="table">2</xref>.<table-wrap id="Tab2"><label>Table 2</label><caption><p>Distribution of socio-demographic and health-related variables</p></caption><table frame="hsides" rules="groups"><thead><tr><th></th><th colspan="2">Male</th><th colspan="2">Female</th><th colspan="2">Total</th></tr><tr><th>Categories</th><th>Frequency</th><th>Percent</th><th>Frequency</th><th>Percent</th><th>Frequency</th><th>Percent<sup>a</sup></th></tr></thead><tbody><tr><td colspan="7">Age (<italic>N</italic> = 1174):</td></tr><tr><td> 18–25 years</td><td>6</td><td>.5</td><td>34</td><td>2.9</td><td>40</td><td>3.4</td></tr><tr><td> 26–35 years</td><td>68</td><td>5.8</td><td>346</td><td>29.5</td><td>414</td><td>35.3</td></tr><tr><td> 36–45 years</td><td>169</td><td>14.4</td><td>299</td><td>25.5</td><td>468</td><td>39.9</td></tr><tr><td> 46–55 years</td><td>111</td><td>9.5</td><td>78</td><td>6.6</td><td>189</td><td>16.1</td></tr><tr><td> 56–65 years</td><td>33</td><td>2.8</td><td>17</td><td>1.4</td><td>50</td><td>4.2</td></tr><tr><td> 66–75 years</td><td>10</td><td>.9</td><td>2</td><td>.2</td><td>12</td><td>1.1</td></tr><tr><td> > 75 < 80</td><td>1</td><td>.1</td><td>0</td><td>0.0</td><td>1</td><td>.1</td></tr><tr><td colspan="7">Marital status (<italic>N</italic> = 1185):</td></tr><tr><td> Married</td><td>335</td><td>28.3</td><td>412</td><td>34.8</td><td>747</td><td>63.1</td></tr><tr><td> Separated</td><td>8</td><td>.7</td><td>62</td><td>5.2</td><td>70</td><td>5.9</td></tr><tr><td> Divorced</td><td>4</td><td>.3</td><td>27</td><td>2.3</td><td>31</td><td>2.6</td></tr><tr><td> Widowed</td><td>12</td><td>1.0</td><td>167</td><td>14.1</td><td>179</td><td>15.1</td></tr><tr><td> Never married</td><td>39</td><td>3.3</td><td>119</td><td>10.0</td><td>158</td><td>13.3</td></tr><tr><td colspan="7">Geopolitical zone of origin (<italic>N</italic> = 1186):</td></tr><tr><td> North-central</td><td>186</td><td>15.7</td><td>377</td><td>31.8</td><td>563</td><td>47.5</td></tr><tr><td> North-east</td><td>22</td><td>1.9</td><td>40</td><td>3.4</td><td>62</td><td>5.3</td></tr><tr><td> North-west</td><td>56</td><td>4.7</td><td>111</td><td>9.4</td><td>167</td><td>14.1</td></tr><tr><td> South-east</td><td>78</td><td>6.6</td><td>140</td><td>11.8</td><td>218</td><td>18.4</td></tr><tr><td> South-south</td><td>39</td><td>3.3</td><td>90</td><td>7.6</td><td>129</td><td>10.9</td></tr><tr><td> South-west</td><td>17</td><td>1.4</td><td>30</td><td>2.5</td><td>47</td><td>4.0</td></tr><tr><td colspan="7">Religion (<italic>N</italic> = 1187):</td></tr><tr><td> Christian</td><td>321</td><td>27.0</td><td>659</td><td>55.5</td><td>980</td><td>82.6</td></tr><tr><td> Muslim</td><td>75</td><td>6.3</td><td>128</td><td>10.8</td><td>203</td><td>17.1</td></tr><tr><td> Traditional religion</td><td>0</td><td>0.0</td><td>1</td><td>.1</td><td>1</td><td>.1</td></tr><tr><td> None</td><td>1</td><td>.1</td><td>0</td><td>0.0</td><td>1</td><td>.1</td></tr><tr><td> Others</td><td>1</td><td>.1</td><td>1</td><td>.1</td><td>2</td><td>.2</td></tr><tr><td colspan="7">Highest level of education (<italic>N</italic> = 1186):</td></tr><tr><td> No education</td><td>20</td><td>1.7</td><td>64</td><td>5.4</td><td>84</td><td>7.1</td></tr><tr><td> Primary education</td><td>80</td><td>6.7</td><td>142</td><td>12.0</td><td>222</td><td>18.7</td></tr><tr><td> Secondary education</td><td>142</td><td>12.0</td><td>299</td><td>25.2</td><td>441</td><td>37.2</td></tr><tr><td> Tertiary education (HND, NCE, OND, BSc, BEd, BA)</td><td>133</td><td>11.2</td><td>265</td><td>22.3</td><td>398</td><td>33.5</td></tr><tr><td> Postgraduate education (MA/MSc/Ph.D.)</td><td>23</td><td>1.9</td><td>18</td><td>1.5</td><td>41</td><td>3.5</td></tr><tr><td colspan="7">Employment status (<italic>N</italic> = 1186):</td></tr><tr><td> Private sector</td><td>66</td><td>5.6</td><td>98</td><td>8.3</td><td>164</td><td>13.8</td></tr><tr><td> Public sector</td><td>124</td><td>10.5</td><td>159</td><td>13.4</td><td>283</td><td>23.9</td></tr><tr><td> Self-employed</td><td>156</td><td>13.2</td><td>358</td><td>30.2</td><td>514</td><td>43.3</td></tr><tr><td> Unemployed</td><td>35</td><td>3.0</td><td>151</td><td>12.7</td><td>186</td><td>15.7</td></tr><tr><td> Student</td><td>3</td><td>.3</td><td>12</td><td>1.0</td><td>15</td><td>1.3</td></tr><tr><td> Retired</td><td>14</td><td>1.2</td><td>8</td><td>.7</td><td>22</td><td>1.9</td></tr><tr><td> Unable to work</td><td>0</td><td>0.0</td><td>2</td><td>.2</td><td>2</td><td>.2</td></tr><tr><td colspan="7">Estimated monthly household income (<italic>N</italic> = 1167):</td></tr><tr><td> N19,999 and below</td><td>65</td><td>5.6</td><td>248</td><td>21.3</td><td>313</td><td>26.8</td></tr><tr><td> N20,000 –N49,999</td><td>140</td><td>12.0</td><td>210</td><td>18.0</td><td>350</td><td>30.0</td></tr><tr><td> N50,000 – N79,999</td><td>80</td><td>6.9</td><td>131</td><td>11.2</td><td>211</td><td>18.1</td></tr><tr><td> N80,000 – N119,999</td><td>42</td><td>3.6</td><td>61</td><td>5.2</td><td>103</td><td>8.8</td></tr><tr><td> N120,000 – N499,999</td><td>43</td><td>3.7</td><td>52</td><td>4.5</td><td>95</td><td>8.1</td></tr><tr><td> N500,000 – N999,000</td><td>6</td><td>.5</td><td>2</td><td>.2</td><td>8</td><td>.7</td></tr><tr><td> N1 million and above</td><td>2</td><td>.2</td><td>1</td><td>.1</td><td>3</td><td>.3</td></tr><tr><td> None</td><td>15</td><td>1.3</td><td>69</td><td>5.9</td><td>84</td><td>7.2</td></tr><tr><td colspan="7">Research category (<italic>N</italic> = 1187):</td></tr><tr><td> Care and monitoring</td><td>11</td><td>.9</td><td>34</td><td>2.9</td><td>45</td><td>3.8</td></tr><tr><td> Started ART on or before Jan. 2015</td><td>6</td><td>.5</td><td>10</td><td>.8</td><td>16</td><td>1.3</td></tr><tr><td> Between August – December 2014</td><td>12</td><td>1.0</td><td>22</td><td>1.9</td><td>34</td><td>2.9</td></tr><tr><td> On or before July 2014</td><td>321</td><td>27.0</td><td>621</td><td>52.3</td><td>942</td><td>79.4</td></tr><tr><td> On second-line drugs</td><td>48</td><td>4.0</td><td>102</td><td>8.6</td><td>150</td><td>12.6</td></tr><tr><td colspan="7">Smoking status (<italic>N</italic> = 1186):</td></tr><tr><td> Smoker</td><td>21</td><td>1.8</td><td>4</td><td>.3</td><td>25</td><td>2.1</td></tr><tr><td> Ex-smoker</td><td>123</td><td>10.4</td><td>27</td><td>2.3</td><td>150</td><td>12.6</td></tr><tr><td> Never smoker</td><td>254</td><td>21.4</td><td>757</td><td>63.8</td><td>1011</td><td>85.2</td></tr><tr><td colspan="7">Number of years living with HIV (<italic>N</italic> = 1187):</td></tr><tr><td> 20–25 years</td><td>4</td><td>.3</td><td>3</td><td>.3</td><td>7</td><td>.6</td></tr><tr><td> 15–19 years</td><td>17</td><td>1.4</td><td>18</td><td>1.5</td><td>35</td><td>3.0</td></tr><tr><td> 10–14 years</td><td>86</td><td>7.2</td><td>141</td><td>11.9</td><td>227</td><td>19.5</td></tr><tr><td> 5–9 years</td><td>149</td><td>12.6</td><td>365</td><td>30.7</td><td>514</td><td>44.1</td></tr><tr><td> 1–4 years</td><td>130</td><td>11.0</td><td>244</td><td>20.6</td><td>374</td><td>32.1</td></tr><tr><td> < 1 year</td><td>4</td><td>.3</td><td>4</td><td>.3</td><td>8</td><td>.7</td></tr><tr><td>Don’t know</td><td>8</td><td>.7</td><td>14</td><td>1.2</td><td>22</td><td>1.9</td></tr></tbody></table><table-wrap-foot><p><sup>a</sup>Only valid percent reported</p></table-wrap-foot></table-wrap></p></sec></sec><sec id="Sec17"><title>Prevalence of depression, suicidality, and alcohol use disorder</title><p>Using the Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV diagnostic criteria for 12-month prevalence of major depressive episode, 28.2% (<italic>n</italic> = 335) of the study participants screened positive for major depressive episode. The prevalence of lifetime suicidal ideation was found to be 14.3% (<italic>n</italic> = 170), while 12-month suicidal ideation was 2.9% (<italic>n</italic> = 35). Prevalence of lifetime suicide attempt was 2.9% (<italic>n</italic> = 34). At least 2.3% of the population (<italic>n</italic> = 27) have attempted suicide at least once (Table <xref rid="Tab3" ref-type="table">3</xref>). Only one suicide attempt was life-threatening leading to hospitalization (Table <xref rid="Tab4" ref-type="table">4</xref>).<table-wrap id="Tab3"><label>Table 3</label><caption><p>Gender distribution of some mental disorders among PLHIV</p></caption><table frame="hsides" rules="groups"><thead><tr><th></th><th colspan="2">Male</th><th colspan="2">Female</th><th colspan="2">Total</th></tr><tr><th>Mental health problem</th><th>Frequency</th><th>Percent</th><th>Frequency</th><th>Percent</th><th>Frequency</th><th>Percent</th></tr></thead><tbody><tr><td colspan="7">Major depressive episode</td></tr><tr><td> Yes</td><td>81</td><td>6.8</td><td>254</td><td>21.4</td><td>335</td><td>28.2</td></tr><tr><td> No</td><td>317</td><td>26.7</td><td>535</td><td>45.1</td><td>852</td><td>71.8</td></tr><tr><td> Total</td><td>398</td><td>33.5</td><td>789</td><td>66.5</td><td>1187</td><td>100.0</td></tr><tr><td colspan="7">Lifetime suicidal ideation</td></tr><tr><td> Yes</td><td>45</td><td>3.8</td><td>125</td><td>10.5</td><td>170</td><td>14.3</td></tr><tr><td> No</td><td>353</td><td>29.7</td><td>664</td><td>55.9</td><td>1017</td><td>85.7</td></tr><tr><td> Total</td><td>398</td><td>33.5</td><td>789</td><td>66.5</td><td>1187</td><td>100.0</td></tr><tr><td colspan="7">12-month suicidal ideation</td></tr><tr><td> Yes</td><td>8</td><td>.7</td><td>27</td><td>2.2</td><td>35</td><td>2.9</td></tr><tr><td> No</td><td>390</td><td>32.8</td><td>762</td><td>64.3</td><td>1152</td><td>97.1</td></tr><tr><td> Total</td><td>398</td><td>33.5</td><td>789</td><td>66.5</td><td>1187</td><td>100.0</td></tr><tr><td colspan="7">Ever planned suicide</td></tr><tr><td> Yes</td><td>15</td><td>1.3</td><td>47</td><td>4.0</td><td>62</td><td>5.3</td></tr><tr><td> No</td><td>383</td><td>32.2</td><td>742</td><td>62.5</td><td>1125</td><td>94.7</td></tr><tr><td> Total</td><td>398</td><td>33.5</td><td>789</td><td>66.5</td><td>1187</td><td>100.0</td></tr><tr><td colspan="7">Alcohol dependence (DSM IV)<sup>a</sup></td></tr><tr><td> Yes</td><td>17</td><td>1.4</td><td>9</td><td>.8</td><td>26</td><td>2.2</td></tr><tr><td> No</td><td>381</td><td>32.8</td><td>780</td><td>65.7</td><td>1161</td><td>97.8</td></tr><tr><td> Total</td><td>398</td><td>33.5</td><td>789</td><td>66.5</td><td>1187</td><td>100.0</td></tr><tr><td colspan="7">Harmful Alcohol Abuse (ICD-10)<sup>a</sup></td></tr><tr><td> Yes</td><td>70</td><td>5.9</td><td>13</td><td>1.1</td><td>83</td><td>7.0</td></tr><tr><td> No</td><td>328</td><td>27.6</td><td>776</td><td>65.4</td><td>1104</td><td>93.0</td></tr><tr><td> Total</td><td>398</td><td>33.5</td><td>789</td><td>66.5</td><td>1187</td><td>100.0</td></tr></tbody></table><table-wrap-foot><p><sup>a</sup>Prevalence of all alcohol disorders are for a 12-month period</p></table-wrap-foot></table-wrap><table-wrap id="Tab4"><label>Table 4</label><caption><p>Suicidality among PLHIV</p></caption><table frame="hsides" rules="groups"><thead><tr><th>Variable (n)</th><th>Categories</th><th>Frequency (%)<sup>a</sup></th></tr></thead><tbody><tr><td rowspan="2">Lifetime suicidal ideation (1187)</td><td>Yes</td><td>170 (14.3)</td></tr><tr><td>No</td><td>1017 (85.7)</td></tr><tr><td rowspan="2">Age at first suicidal ideation (170)</td><td>Mean age</td><td>29.6 years</td></tr><tr><td>Age range</td><td>10–66 years</td></tr><tr><td rowspan="2">12-month suicidal ideation (169)</td><td>Yes</td><td>35 (20.7)</td></tr><tr><td>No</td><td>134 (79.3)</td></tr><tr><td rowspan="2">Age at last suicidal ideation (138)</td><td>Mean age</td><td>29.3 years</td></tr><tr><td>Age range</td><td>11–53 years</td></tr><tr><td rowspan="2">Lifetime planned suicide (170)</td><td>Yes</td><td>62 (36.5)</td></tr><tr><td>No</td><td>108 (63.5)</td></tr><tr><td rowspan="2">Age at first suicidal planning (64)</td><td>Mean age</td><td>28.2 years</td></tr><tr><td>Age range</td><td>11–51 years</td></tr><tr><td rowspan="2">12-month planned suicide (65)</td><td>Yes</td><td>8 (12.3)</td></tr><tr><td>No</td><td>57 (87.7)</td></tr><tr><td rowspan="2">Age at most recent suicidal planning (57)</td><td>Mean age</td><td>28.2 years</td></tr><tr><td>Age range</td><td>11–51 years</td></tr><tr><td rowspan="2">Lifetime suicide attempt (170)</td><td>Yes</td><td>34 (20.0)</td></tr><tr><td>No</td><td>136 (80.0)</td></tr><tr><td rowspan="2">Number of suicide attempts (34)</td><td>Modal times</td><td>Once (<italic>n</italic> = 27; 79.4%)</td></tr><tr><td>Range</td><td>1–8 times</td></tr><tr><td rowspan="2">Age first suicide attempt (7)</td><td>Mean age</td><td>30.6 years</td></tr><tr><td>Age range</td><td>23–43 years</td></tr><tr><td rowspan="2">Describe suicide attempt (8)</td><td>Made a serious attempt to commit suicide</td><td>6 (75.0)</td></tr><tr><td>Suicide attempt was a cry for help</td><td>2 (25.0)</td></tr><tr><td rowspan="2">12-month suicide attempts (33)</td><td>Yes</td><td>4 (12.1)</td></tr><tr><td>No</td><td>29 (87.9)</td></tr><tr><td rowspan="2">Age last suicide attempt (29)</td><td>Mean age</td><td>17–43 years</td></tr><tr><td>Age range</td><td>27.7 years</td></tr><tr><td>Lethality (1)</td><td>Yes</td><td>1</td></tr><tr><td>Describe suicide attempt (32)</td><td>Made a serious attempt to commit suicide but was lucky it was unsuccessful</td><td>22 (66.7)</td></tr><tr><td></td><td>Attempted suicide but knew that the method was not fool proof</td><td>3 (9.1)</td></tr><tr><td></td><td>Suicide attempt was a cry for help, did not intend to die</td><td>7 (21.2)</td></tr><tr><td rowspan="4">Suicide method (5)</td><td>Used sharp instruments</td><td>1</td></tr><tr><td>poisoning e.g. Carbon monoxide (CO), rat poison</td><td>2</td></tr><tr><td>other</td><td>1</td></tr><tr><td>Overdose of other drugs (e.g. alcohol, heroin, crack)</td><td>1</td></tr></tbody></table><table-wrap-foot><p><sup>a</sup>Only valid percent reported</p></table-wrap-foot></table-wrap></p><p>The 12-month prevalence of alcohol abuse (for both DSM-IV and the International Classification of Diseases (ICD)-10 criteria) was 7% (<italic>n</italic> = 83), while twenty-six (2.2%) of the participants met the DSM-IV criteria for alcohol dependence within the last 12 months. The12-month prevalence of harmful alcohol abuse (ICD-10 criteria) was 7% (<italic>n</italic> = 83) (Table <xref rid="Tab3" ref-type="table">3</xref>).</p></sec><sec id="Sec18"><title>Gender distribution of depression, suicidality, and alcohol use disorder</title><p>Females living with HIV were found to have a higher prevalence of major depressive episode and suicidality (suicidal ideation and suicide plan) than their male counterpart. However, for 12-month alcohol disorders (alcohol dependence and harmful alcohol abuse), the prevalence was found to be higher among males living with HIV than among females. Table <xref rid="Tab3" ref-type="table">3</xref> presents the distribution of mental health problems among PLHIV by gender.</p></sec><sec id="Sec19"><title>Factors associated with depression, suicidality, and alcohol use disorder</title><sec id="Sec20"><title>Depression</title><sec id="FPar1"><title>Major depressive episode</title><p>The model to explore the association between major depressive episode and age, gender, marital status, marriage-like relationship, monthly income, lifetime suicidal ideation and ever planned suicide was statistically significant, <italic>X</italic><sup><italic>2</italic></sup> (12, <italic>N</italic> = 167) = 21.15, <italic>p</italic> < .05. Major depressive episode was significantly associated with ever planned suicide (OR = 2.46, 95% CI [1.23, 4.95]), being in a marriage-like relationship (OR = .33, 95% CI [.11, .96]), and never married (OR = 2.81, 95% CI [1.11, 7.15]). Participants who reported ever planning suicide were about 2 times more likely to be diagnosed with major depressive episode than those who have never planned suicide (Table <xref rid="Tab5" ref-type="table">5</xref>). Also, participants who reported being in a marriage-like relationship were 3 times less likely to have major depressive episode than those not in a marriage-like relationship, while those who were never married were almost 3 times more likely to have major depressive episode than those who were married.<table-wrap id="Tab5"><label>Table 5</label><caption><p>Correlates of depressive episode, suicidal ideation, ever planned suicide, alcohol dependence and harmful alcohol abuse</p></caption><table frame="hsides" rules="groups"><thead><tr><th>Dependent variables</th><th rowspan="2">Major Depressive Episode</th><th rowspan="2">Lifetime suicidal ideation</th><th rowspan="2">Ever planned suicide</th><th rowspan="2">Alcohol dependence</th><th rowspan="2">Harmful Alcohol Abuse</th></tr><tr><th rowspan="2">Independent variables</th></tr><tr><th>OR [95% CI]*</th><th>OR [95% CI]*</th><th>OR [95% CI]*</th><th>OR [95% CI]*</th><th>OR [95% CI]*</th></tr></thead><tbody><tr><td>Gender</td><td></td><td></td><td></td><td>Female (.32 [.13, .76])</td><td>Female (.10 [.05, .19])<sup>+</sup></td></tr><tr><td>Religion</td><td></td><td>Christian (2.41 [1.36, 4.26])</td><td></td><td></td><td>Christian (3.44 [1.43, 8.27])</td></tr><tr><td>Being in a marriage-like relationship</td><td>.33 [.11, .96]</td><td></td><td></td><td></td><td></td></tr><tr><td rowspan="3">Marital status</td><td rowspan="3">Never married (2.81 [1.11, 7.15])</td><td>Separated (3.05 [1.67, 5.57])<sup>+</sup></td><td rowspan="3"></td><td rowspan="3"></td><td rowspan="3"></td></tr><tr><td>Divorced (2.66 [1.07, 6.63])</td></tr><tr><td>Never married (1.94 [1.22, 3.09])</td></tr><tr><td>Overall physical health</td><td></td><td>.49 [.29, .84]</td><td></td><td></td><td></td></tr><tr><td>Major depressive episode</td><td></td><td>1.84 [1.29, 2.62]</td><td char="[" align="char">2.37 [1.25, 4.51]</td><td></td><td></td></tr><tr><td>Ever planned suicide</td><td>2.46 [1.23, 4.95]<sup>+</sup></td><td></td><td></td><td></td><td></td></tr></tbody></table><table-wrap-foot><p><sup>*</sup><italic>p</italic> < 0.05; <sup>+</sup>best predictor in the mode</p></table-wrap-foot></table-wrap></p></sec></sec><sec id="Sec21"><title>Suicidality</title><sec id="FPar2"><title>Lifetime suicidal ideation</title><p>The model to explore the strength of the relationship between lifetime suicidal ideation and age, gender, marital status, religion, overall physical health and major depressive episode was statistically significant, <italic>X</italic><sup><italic>2</italic></sup> (9, <italic>N</italic> = 1168) = 59.36, <italic>p</italic> < .001. Lifetime suicidal ideation was significantly associated with marital status: being separated (OR = 3.05, 95% CI [1.67, 5.57]), never married (OR = 1.94, 95% CI [1.22, 3.09]), and divorced (OR = 2.66, 95% CI [1.07, 6.63]), as well as, being Christian (OR = 2.41, 95% CI [1.36, 4.26]), major depressive episode (OR = 1.84, 95% CI [1.29, 2.62]), and overall physical health (OR = .49, 95% CI [.29, .84]). Participants who have separated from their partners were 3 times more likely to report ever having suicidal ideation than those married. Also, participants who were divorced were about 2 times more likely to report having suicidal ideation than those married while participants who were never married were 94% of the times more likely to report having suicidal ideation than those married (Table <xref rid="Tab5" ref-type="table">5</xref>).</p></sec><sec id="FPar3"><title>Ever planned suicide</title><p>The model to explore the strength of the association between ever planned suicide and major depressive episode was statistically significant, <italic>X</italic><sup><italic>2</italic></sup> (1, <italic>N</italic> = 170) = 7.07, <italic>p</italic> < .008. The model had only one variable (major depressive episode) which was found to be associated with ever planned suicide. Major depressive episode is significantly associated with ever planned suicide with an unadjusted OR of 2.37 (95% CI [1.25–4.51]). Participants who were diagnosed with major depressive episode were 2 times more likely to report ever planning a suicide (Table <xref rid="Tab5" ref-type="table">5</xref>).</p></sec></sec></sec><sec id="Sec22"><title>Alcohol use disorder</title><sec id="Sec23"><title>Alcohol dependence</title><p>The model to explore the association between alcohol dependence, age, and gender was statistically significant, <italic>X</italic><sup><italic>2</italic></sup> (2, <italic>N</italic> = 1174) = 12.23, <italic>p</italic> = .002. Of the two variables in the model, only gender was significantly associated with alcohol dependence (OR = .32, 95% CI [.13, .76]). Female participants were about 3 times less likely to be alcohol dependent based on the DSM-IV diagnostic criteria (Table <xref rid="Tab5" ref-type="table">5</xref>).</p></sec><sec id="Sec24"><title>Harmful alcohol abuse</title><p>The model to explore the association between harmful alcohol abuse and age, gender, marital status, religion, and educational qualification was statistically significant, <italic>X</italic><sup><italic>2</italic></sup> (8, <italic>N</italic> = 1167) = 116.42, <italic>p</italic> < .001. Harmful alcohol abuse was significantly associated with gender (being female) (OR = .10, 95% CI [.05, .19]) and religion (Christian) OR = 3.44, 95% CI (1.43, 8.27). Female participants were 10 times less likely to be diagnosed with harmful alcohol abuse, while participants who reported being Christians were 3 times more likely to be diagnosed with harmful alcohol abuse (Table <xref rid="Tab5" ref-type="table">5</xref>).</p></sec></sec></sec><sec id="Sec25"><title>Discussion</title><p>In the largest study to date of people living with HIV in Nigeria, we found that nearly one out of three PLHIV suffered from depression during the past year. This burden was greatest among women living with HIV, with one out of three female PLHIV experiencing depression compared to one out of five male PLHIV. Ferrari et al., reported a 5.5% average prevalence of depression in Sub-Saharan Africa [<xref ref-type="bibr" rid="CR52">52</xref>], while Abas et al., reported 8.8% for the same region [<xref ref-type="bibr" rid="CR53">53</xref>]. Our findings show a prevalence rate four times greater than general population rates for depression in Sub-Saharan Africa. In our study, major depressive episode was associated with not being in a marriage-like relationship, never been married, and prior suicide plan. A previous study in France found a similar prevalence (28.1%) of major depressive episode among PLHIV [<xref ref-type="bibr" rid="CR54">54</xref>]. Consistent with the findings in our study, a cross national study involving 10 countries in North America, Asia, Europe and Latin America found that major depressive episode was more common among women than men and among the unmarried than the married [<xref ref-type="bibr" rid="CR55">55</xref>]. A study conducted in Canada also found a positive association between women and unmarried persons with depression [<xref ref-type="bibr" rid="CR56">56</xref>] as with this study. The implication of this finding for the population of PLHIV is that depression has been associated with poor adherence to ART and disease progression among PLHIV [<xref ref-type="bibr" rid="CR57">57</xref>]. The high prevalence of depression among PLHIV found in this study compared to the regional prevelence speaks to the need for mental health screening and treatment services to be integrated in the treatment package offered to PLHIV which will ultimately lead to better clinical outcomes for PLHIV [<xref ref-type="bibr" rid="CR58">58</xref>]. Targeted and gender-specific interventions to prevent major depressive episode will also be a useful addition to HIV treatment guidelines.</p><p>This study found a prevalence of 14.3% for suicidal ideation among PLHIV. This result is slightly lower than the 15.5% found in a similar population in Ibadan, Nigeria using the CIDI instrument [<xref ref-type="bibr" rid="CR26">26</xref>]. Lifetime suicide attempt in our study was 2.9% which is lower than the 3.9% found in a similar study in Uganda [<xref ref-type="bibr" rid="CR59">59</xref>]. Suicidal ideation among PLHIV has been linked to poor social support and unemployment [<xref ref-type="bibr" rid="CR26">26</xref>, <xref ref-type="bibr" rid="CR60">60</xref>]. In our study, 20% of those who had suicidal ideation had attempted suicide. Suicidal ideation was significantly associated with being Christian, being separated, divorced, never been married, poorer overall physical health, and major depressive episode. Suicide attempt is an indicator of extreme emotional distress and a predictor of completed suicide [<xref ref-type="bibr" rid="CR26">26</xref>]. Previous studies have found associations between depression and suicidality [<xref ref-type="bibr" rid="CR26">26</xref>, <xref ref-type="bibr" rid="CR59">59</xref>], as well as with living alone and suicidal thoughts [<xref ref-type="bibr" rid="CR60">60</xref>]. Suicidal ideation and suicide attempts are sometimes made by PLHIV as means to cope or escape from the psychological stress they face due to their HIV status [<xref ref-type="bibr" rid="CR60">60</xref>] and suicidality has been linked to poor quality of life for PLHIV [<xref ref-type="bibr" rid="CR59">59</xref>]. Regular assessment leading to early identification of PLHIV with increased risks of suicidality has been recommended in order to quicken their referral for psychological treatments [<xref ref-type="bibr" rid="CR23">23</xref>–<xref ref-type="bibr" rid="CR25">25</xref>, <xref ref-type="bibr" rid="CR27">27</xref>].</p><p>The prevalence of alcohol abuse found in this study was 7% while about 8% of the participants screened positive for harmful alcohol abuse. Being male was significantly associated with both alcohol dependence and harmful alcohol abuse, while being Christian was associated with harmful alcohol abuse. A similar study among PLHIV in Ethiopia using the AUDIT tool found a prevalence of 2.8% and 5.1% of harmful drinking and alcohol dependence, respectively [<xref ref-type="bibr" rid="CR61">61</xref>]. This Ethiopian study also found an association between being male and being Christian with alcohol use disorder [<xref ref-type="bibr" rid="CR61">61</xref>]. Galvan et al. found a rate of 8% in their study of drinking problems among PLHIV [<xref ref-type="bibr" rid="CR62">62</xref>]which is consistent with findings from our study.</p><p>Among PLHIV, alcohol abuse has been associated with depression [<xref ref-type="bibr" rid="CR63">63</xref>], non-adherence and reduced response to ART [<xref ref-type="bibr" rid="CR9">9</xref>, <xref ref-type="bibr" rid="CR29">29</xref>], as well as, increased risk of engaging in risky behaviour [<xref ref-type="bibr" rid="CR64">64</xref>, <xref ref-type="bibr" rid="CR65">65</xref>]. Any intervention to reduce the prevalence of alcohol disorder among this population will be beneficial to the overall treatment outcome including reducing HIV infection rates and improving the quality of life of PLHIV. Such interventions can be tailored according to gender since males are more likely be diagnosed with alcohol use disorder [<xref ref-type="bibr" rid="CR61">61</xref>].</p><p>This study provides more evidence for the call to prioritize mental health care services for PLHIV [<xref ref-type="bibr" rid="CR18">18</xref>]. Such services should begin with the screening for mental disorders at HIV treatment centres. One common problem associated with the provision of comprehensive mental health care services for PLHIV, especially in low-resource settings, is the shortage of specialist mental health care service providers [<xref ref-type="bibr" rid="CR57">57</xref>]. Chibanda et al. suggest the training of lay health workers to provide basic mental health screening and treatment services in health settings to make up for the scarcity of specialist mental health care service providers in this setting [<xref ref-type="bibr" rid="CR66">66</xref>]. In support of the study by Chibanda et al., a systematic review of lay counsellors’ role in providing care in primary health care settings, found that lay counsellors have the potential to effectively provide some basic health services for CMDs such as brief counselling [<xref ref-type="bibr" rid="CR57">57</xref>]. Screening and treatment services for mental disorders can be provided as ancillary services in HIV treatment centres and by trained lay counsellors [<xref ref-type="bibr" rid="CR57">57</xref>]. However, in general, best practice guidelines stress the importance of using culturally adapted and validated instruments to ensure accurate diagnosis [<xref ref-type="bibr" rid="CR67">67</xref>].</p><p>In the same vein, more qualitative research is needed to explore the causes of mental health problems among PLHIV given the fact that the rates of mental health problems in this subpopulation have been found to be higher than the general population in diverse settings [<xref ref-type="bibr" rid="CR18">18</xref>, <xref ref-type="bibr" rid="CR54">54</xref>]. Such research will be helpful to inform tailored interventions to prevent mental health problems among PLHIV.</p><p>The Mental Health Gap Action Programme (mhGAP) was developed by the WHO with the objective of scaling up care for mental, neurological and substance use disorders (MNS) disorders in low and middle-income countries (LMIC) [<xref ref-type="bibr" rid="CR68">68</xref>]. One identified approach to achieving success with mhGAP is increasing the commitment of all stakeholders towards achieving higher coverage of care for MNS in LMIC [<xref ref-type="bibr" rid="CR69">69</xref>]. In line with the objectives of mhGAP, we make the following suggestions to improve mental health care for PLHIV.<list list-type="bullet"><list-item><p>Mental health services should be incorporated into HIV treatment guidelines. Such services should include screening for mental disorders like depression, suicidality, and alcohol use disorder with the use of culturally adapted tools.</p></list-item><list-item><p>Rehabilitation services and facilities to treat alcohol abuse should be provided for PLHIV suffering from alcohol use disorder.</p></list-item><list-item><p>Support groups for PLHIV should pay attention to the mental health needs of their members so as to prevent and/or identify the onset of mental health problems before they progress to more severe disorders.</p></list-item></list></p><sec id="Sec26"><title>Limitations</title><p>Not all potential participants who were initially systematically sampled for this study could be contacted due to out-of-date contact details in clinic records. Some participants were therefore contacted during their clinic days. Also, there was a disparity between the actual study category into which participants fell and what the list obtained from the study sites indicated. The category reported by the participants was used for the data analysis. Gender was not considered during the sampling exercise because the client information obtained from the IHVN did not include their gender. It was, therefore, not feasible to know which participant was of a specific gender during the sampling exercise. The data collected in this study did not lend themselves to the determination of other forms of clinical depression i.e. major depressive disorder and minor depressive disorder. Our data are based on self-report which can introduce social desirability bias. However, as noted in the declaration section (ethics approval and consent to participate), measures were taken to mitigate this potential type of bias.</p></sec></sec><sec id="Sec27"><title>Conclusion</title><p>Our study found a higher prevalence of depression among PLHIV in Nigeria than the regional prevalence of depression reported for Sub Saharan Africa in 2013 [<xref ref-type="bibr" rid="CR52">52</xref>]. Women were more likely to report depression and suicidality than men, while men were more likely to meet the criteria for alcohol use disorders than women. In addition to ARTs being offered to PLHIV, it is critical that screening services for early detection of mental disorders be integrated into HIV testing and treatment guidelines. Psychosocial and medical help should be given to those who screen positive for mental disorders. HIV treatment services need to move towards the provision of more holistic care for PLHIV as a necessary next step to improve the quality of life of this sub-population.</p></sec></body><back><glossary><title>Abbreviations</title><def-list><def-item><term>ART</term><def><p>Anti-Retroviral therapy</p></def></def-item><def-item><term>ARVs</term><def><p>Anti-Retroviral drugs (ARVs)</p></def></def-item><def-item><term>AUDIT</term><def><p>Alcohol Use Disorders Identification Test</p></def></def-item><def-item><term>BDI-II</term><def><p>Beck Depression Inventory version 2 (BDI-II)</p></def></def-item><def-item><term>CES-D</term><def><p>Centre for Epidemiological Studies Depression Scale</p></def></def-item><def-item><term>CMDs</term><def><p>Common Mental Disorders</p></def></def-item><def-item><term>DSM</term><def><p>Diagnostic and Statistical Manual of Mental Disorders</p></def></def-item><def-item><term>FCT</term><def><p>Federal Capital Territory</p></def></def-item><def-item><term>GPZs</term><def><p>Geopolitical Zones</p></def></def-item><def-item><term>HIV/AIDS</term><def><p>Human Immunodeficiency Virus/Acquired Immune-Deficiency Syndrome</p></def></def-item><def-item><term>ICD</term><def><p>International Classification of Diseases</p></def></def-item><def-item><term>IHVN</term><def><p>Institute of Human Virology Nigeria</p></def></def-item><def-item><term>LMIC</term><def><p>Low and middle-income countries</p></def></def-item><def-item><term>mhGAP</term><def><p>Mental Health Gap Action Programme</p></def></def-item><def-item><term>MNS</term><def><p>Mental, neurological and substance use disorders</p></def></def-item><def-item><term>NACA</term><def><p>National Agency for the Control of AIDS</p></def></def-item><def-item><term>PAPI</term><def><p>Paper and pencil instrument</p></def></def-item><def-item><term>PLHIV</term><def><p>People living with HIV/AIDS</p></def></def-item><def-item><term>SPSS</term><def><p>Statistical Package for the Social Sciences</p></def></def-item><def-item><term>STs</term><def><p>Site trackers</p></def></def-item><def-item><term>WHO</term><def><p>World Health Organization</p></def></def-item><def-item><term>WMH-CIDI</term><def><p>World Mental Health Composite International Diagnostic Interview</p></def></def-item></def-list></glossary><ack><title>Acknowledgements</title><p>The authors are grateful to Drs. Nadra Lisha and Kwaku Oppong Asante who provided guidance at various stages of data analysis. Dr. Anne Berit Petersen is also appreciated for her feedback on an initial draft of this paper. We also acknowledge the interviewers and staff of the HIV treatment centres where this study was conducted.</p><sec id="FPar4"><title>Funding</title><p>This study was funded by Gede Foundation Nigeria, a non-governmental organization working with the underserved population suffering from stigmatized health burdens in Nigeria including people living with HIV/AIDS and mental disorders.</p></sec><sec id="FPar5"><title>Availability of data and materials</title><p>The datasets used and/or analyzed during the current study are available from Gede Foundation Nigeria on reasonable request and subject to the Foundation’s policies on data sharing.</p></sec><sec id="FPar6"><title>Authors’ contributions</title><p>COE prepared the research protocol with contributions from CJT and JGM and wrote the first draft of this paper. CJT, JGM, PSD and EE were involved in data collection and provided useful feedback on the first draft. BAK provided useful feedback on the first and subsequent drafts. All authors read and approved the final draft.</p></sec><sec id="FPar7"><title>Competing interests</title><p>JGM and CJT work for Gede Foundation Nigeria. The authors declare that they have no other competing interests.</p></sec><sec id="FPar8"><title>Consent for publication</title><p>Not applicable.</p></sec><sec id="FPar9"><title>Ethics approval and consent to participate</title><p>Ethical approval to conduct this study was obtained from the Institute of Human Virology Nigeria (IHVN) Health Research Ethics Committee on June 10, 2015. Copies of the Ethics approval and the approved research protocol were provided to each project site through their Medical Director.</p><p>After obtaining initial consent from eligible participants during the recruitment exercise, a formalization of this consent was required of each participant by their respective interviewers. Prior to the formal interview, interviewers handed the study information sheet to each participant and verbally informed them about the content of the sheet. Interviewers again emphasized to each of the participants the purpose of the study, their rights to confidentiality, anonymity, and withdrawal from the study at any stage if they decide to participate. They were again assured that their care would not be affected by their answers. Each participant was then asked to sign the consent form (or affix a thumb mark) as an attestation to their willingness to participate in the study. Each participant was assigned a code name as means of identification to ensure anonymity, and this code name was written by the interviewer on the answer booklet. Each participant was given snacks and the sum of N1,000 as compensation for transportation.</p><p>To ensure the participants’ privacy was maintained, interviews were conducted in private rooms within the study sites. 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