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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en"><italic>Chlamydia Trachomatis</italic> and <italic>Neisseria Gonorrhoeae</italic> prevalence among women of reproductive age living in urogenital schistosomiasis endemic area in Ghana</title><author><name sortKey="Yirenya Tawiah, Dzidzo" sort="Yirenya Tawiah, Dzidzo" uniqKey="Yirenya Tawiah D" first="Dzidzo" last="Yirenya-Tawiah">Dzidzo Yirenya-Tawiah</name><affiliation><nlm:aff id="I1">Institute for Environment and Sanitation Studies, University of Ghana, Legon, Ghana</nlm:aff></affiliation></author><author><name sortKey="Annang, Ted N" sort="Annang, Ted N" uniqKey="Annang T" first="Ted N" last="Annang">Ted N. Annang</name><affiliation><nlm:aff id="I1">Institute for Environment and Sanitation Studies, University of Ghana, Legon, Ghana</nlm:aff></affiliation></author><author><name sortKey="Apea Kubi, Kwesi A" sort="Apea Kubi, Kwesi A" uniqKey="Apea Kubi K" first="Kwesi A" last="Apea-Kubi">Kwesi A. Apea-Kubi</name><affiliation><nlm:aff id="I2">Department of Obstetrics and Gynaecology, University of Ghana Medical School, Korle-bu, Accra, Ghana</nlm:aff></affiliation></author><author><name sortKey="Lomo, George" sort="Lomo, George" uniqKey="Lomo G" first="George" last="Lomo">George Lomo</name><affiliation><nlm:aff id="I3">Ridge Hospital, Accra, Ghana</nlm:aff></affiliation></author><author><name sortKey="Mensah, David" sort="Mensah, David" uniqKey="Mensah D" first="David" last="Mensah">David Mensah</name><affiliation><nlm:aff id="I4">Noguchi Memorial Institute of Medical Research (NMIMR), Legon, Ghana</nlm:aff></affiliation></author><author><name sortKey="Akyeh, Lorenzo" sort="Akyeh, Lorenzo" uniqKey="Akyeh L" first="Lorenzo" last="Akyeh">Lorenzo Akyeh</name><affiliation><nlm:aff id="I4">Noguchi Memorial Institute of Medical Research (NMIMR), Legon, Ghana</nlm:aff></affiliation></author><author><name sortKey="Bosompem, Kwabena M" sort="Bosompem, Kwabena M" uniqKey="Bosompem K" first="Kwabena M" last="Bosompem">Kwabena M. Bosompem</name><affiliation><nlm:aff id="I4">Noguchi Memorial Institute of Medical Research (NMIMR), Legon, Ghana</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">24917067</idno><idno type="pmc">4060753</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4060753</idno><idno type="RBID">PMC:4060753</idno><idno type="doi">10.1186/1756-0500-7-349</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">000282</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000282</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main"><italic>Chlamydia Trachomatis</italic> and <italic>Neisseria Gonorrhoeae</italic> prevalence among women of reproductive age living in urogenital schistosomiasis endemic area in Ghana</title><author><name sortKey="Yirenya Tawiah, Dzidzo" sort="Yirenya Tawiah, Dzidzo" uniqKey="Yirenya Tawiah D" first="Dzidzo" last="Yirenya-Tawiah">Dzidzo Yirenya-Tawiah</name><affiliation><nlm:aff id="I1">Institute for Environment and Sanitation Studies, University of Ghana, Legon, Ghana</nlm:aff></affiliation></author><author><name sortKey="Annang, Ted N" sort="Annang, Ted N" uniqKey="Annang T" first="Ted N" last="Annang">Ted N. Annang</name><affiliation><nlm:aff id="I1">Institute for Environment and Sanitation Studies, University of Ghana, Legon, Ghana</nlm:aff></affiliation></author><author><name sortKey="Apea Kubi, Kwesi A" sort="Apea Kubi, Kwesi A" uniqKey="Apea Kubi K" first="Kwesi A" last="Apea-Kubi">Kwesi A. Apea-Kubi</name><affiliation><nlm:aff id="I2">Department of Obstetrics and Gynaecology, University of Ghana Medical School, Korle-bu, Accra, Ghana</nlm:aff></affiliation></author><author><name sortKey="Lomo, George" sort="Lomo, George" uniqKey="Lomo G" first="George" last="Lomo">George Lomo</name><affiliation><nlm:aff id="I3">Ridge Hospital, Accra, Ghana</nlm:aff></affiliation></author><author><name sortKey="Mensah, David" sort="Mensah, David" uniqKey="Mensah D" first="David" last="Mensah">David Mensah</name><affiliation><nlm:aff id="I4">Noguchi Memorial Institute of Medical Research (NMIMR), Legon, Ghana</nlm:aff></affiliation></author><author><name sortKey="Akyeh, Lorenzo" sort="Akyeh, Lorenzo" uniqKey="Akyeh L" first="Lorenzo" last="Akyeh">Lorenzo Akyeh</name><affiliation><nlm:aff id="I4">Noguchi Memorial Institute of Medical Research (NMIMR), Legon, Ghana</nlm:aff></affiliation></author><author><name sortKey="Bosompem, Kwabena M" sort="Bosompem, Kwabena M" uniqKey="Bosompem K" first="Kwabena M" last="Bosompem">Kwabena M. Bosompem</name><affiliation><nlm:aff id="I4">Noguchi Memorial Institute of Medical Research (NMIMR), Legon, Ghana</nlm:aff></affiliation></author></analytic><series><title level="j">BMC Research Notes</title><idno type="eISSN">1756-0500</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>Background</title><p>Many studies have shown an overlap in the epidemiology of sexually transmitted infections (STIs) and urogenital schistosomiasis among young women living in schistosomiasis endemic areas. Yet we found no study assessing the prevalence of STI infections in urogenital schistosomiasis endemic areas in Ghana. As part of an epidemiological study on urogenital schistosomiasis and HIV, we sought to assess the prevalence of both <italic>Chlamydia trachomatis</italic> (CT) and <italic>Neisseria gonorhoeae</italic> (NG) infections among women living in schistosomiasis endemic communities and explore the relationship between the sexually transmitted infections (STIs) and demographic characteristics, sexual behaviour and self-reported symptoms.</p></sec><sec><title>Methods</title><p>This was a cross-sectional study in which endocervical samples were collected from 191 women aged 15–49 years from October 2005 to March 2006. Samples were examined for CT and NG using Polymerase Chain Reaction (PCR). A structured questionnaire was also used to elicit information on study participant’s gynaecological and obstetric history and symptoms for genital infection. Chi-square test and binary logistic regression were used to assess association between CT and NG and other variables such as age, sexual behaviour and self-reported symptoms.</p></sec><sec><title>Results</title><p>The overall prevalence of CT and NG were 6.3% and 2.6% respectively.The highest prevalence rates of CT were in the 15 to 19 year group while only individuals between 15 and 39 years were positive for NG. There was no association between CT and age, contraceptive use and the other variables assessed. NG on the other hand was found to be associated with age, number of births and number of sexual partners only by chi-square test.</p></sec><sec><title>Conclusions</title><p>Our research revealed higher prevalence of CT and NG infections when compared to previous studies conducted among higher risk groups in non-urogenital schistosomiasis areas in Ghana. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">BMC Res Notes</journal-id><journal-id journal-id-type="iso-abbrev">BMC Res Notes</journal-id><journal-title-group><journal-title>BMC Research Notes</journal-title></journal-title-group><issn pub-type="epub">1756-0500</issn><publisher><publisher-name>BioMed Central</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">24917067</article-id><article-id pub-id-type="pmc">4060753</article-id><article-id pub-id-type="publisher-id">1756-0500-7-349</article-id><article-id pub-id-type="doi">10.1186/1756-0500-7-349</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title><italic>Chlamydia Trachomatis</italic> and <italic>Neisseria Gonorrhoeae</italic> prevalence among women of reproductive age living in urogenital schistosomiasis endemic area in Ghana</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes" id="A1"><name><surname>Yirenya-Tawiah</surname><given-names>Dzidzo</given-names></name><xref ref-type="aff" rid="I1">1</xref><email>dzidzoy@staff.ug.edu.gh</email></contrib><contrib contrib-type="author" id="A2"><name><surname>Annang</surname><given-names>Ted N</given-names></name><xref ref-type="aff" rid="I1">1</xref><email>niiyemoh@staff.ug.edu.gh</email></contrib><contrib contrib-type="author" id="A3"><name><surname>Apea-Kubi</surname><given-names>Kwesi A</given-names></name><xref ref-type="aff" rid="I2">2</xref><email>K_apeakubi@hotmail.com</email></contrib><contrib contrib-type="author" id="A4"><name><surname>Lomo</surname><given-names>George</given-names></name><xref ref-type="aff" rid="I3">3</xref><email>dnoradart@yahoo.com</email></contrib><contrib contrib-type="author" id="A5"><name><surname>Mensah</surname><given-names>David</given-names></name><xref ref-type="aff" rid="I4">4</xref><email>david.mensahm@gmail.com</email></contrib><contrib contrib-type="author" id="A6"><name><surname>Akyeh</surname><given-names>Lorenzo</given-names></name><xref ref-type="aff" rid="I4">4</xref><email>makyeh@noguchi.ug.edu.gh</email></contrib><contrib contrib-type="author" id="A7"><name><surname>Bosompem</surname><given-names>Kwabena M</given-names></name><xref ref-type="aff" rid="I4">4</xref><email>kbosompem@noguchi.ug.edu.gh</email></contrib></contrib-group><aff id="I1"><label>1</label>Institute for Environment and Sanitation Studies, University of Ghana, Legon, Ghana</aff><aff id="I2"><label>2</label>Department of Obstetrics and Gynaecology, University of Ghana Medical School, Korle-bu, Accra, Ghana</aff><aff id="I3"><label>3</label>Ridge Hospital, Accra, Ghana</aff><aff id="I4"><label>4</label>Noguchi Memorial Institute of Medical Research (NMIMR), Legon, Ghana</aff><pub-date pub-type="collection"><year>2014</year></pub-date><pub-date pub-type="epub"><day>9</day><month>6</month><year>2014</year></pub-date><volume>7</volume><fpage>349</fpage><lpage>349</lpage><history><date date-type="received"><day>24</day><month>9</month><year>2013</year></date><date date-type="accepted"><day>2</day><month>6</month><year>2014</year></date></history><permissions><copyright-statement>Copyright © 2014 Yirenya-Tawiah et al.; licensee BioMed Central Ltd.</copyright-statement><copyright-year>2014</copyright-year><copyright-holder>Yirenya-Tawiah et al.; licensee BioMed Central Ltd.</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0"><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/2.0">http://creativecommons.org/licenses/by/2.0</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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><self-uri xlink:href="http://www.biomedcentral.com/1756-0500/7/349"></self-uri><abstract><sec><title>Background</title><p>Many studies have shown an overlap in the epidemiology of sexually transmitted infections (STIs) and urogenital schistosomiasis among young women living in schistosomiasis endemic areas. Yet we found no study assessing the prevalence of STI infections in urogenital schistosomiasis endemic areas in Ghana. As part of an epidemiological study on urogenital schistosomiasis and HIV, we sought to assess the prevalence of both <italic>Chlamydia trachomatis</italic> (CT) and <italic>Neisseria gonorhoeae</italic> (NG) infections among women living in schistosomiasis endemic communities and explore the relationship between the sexually transmitted infections (STIs) and demographic characteristics, sexual behaviour and self-reported symptoms.</p></sec><sec><title>Methods</title><p>This was a cross-sectional study in which endocervical samples were collected from 191 women aged 15–49 years from October 2005 to March 2006. Samples were examined for CT and NG using Polymerase Chain Reaction (PCR). A structured questionnaire was also used to elicit information on study participant’s gynaecological and obstetric history and symptoms for genital infection. Chi-square test and binary logistic regression were used to assess association between CT and NG and other variables such as age, sexual behaviour and self-reported symptoms.</p></sec><sec><title>Results</title><p>The overall prevalence of CT and NG were 6.3% and 2.6% respectively.The highest prevalence rates of CT were in the 15 to 19 year group while only individuals between 15 and 39 years were positive for NG. There was no association between CT and age, contraceptive use and the other variables assessed. NG on the other hand was found to be associated with age, number of births and number of sexual partners only by chi-square test.</p></sec><sec><title>Conclusions</title><p>Our research revealed higher prevalence of CT and NG infections when compared to previous studies conducted among higher risk groups in non-urogenital schistosomiasis areas in Ghana. We therefore recommend further studies of these STIs in urogenital schistosomiasis endemic areas in the country.</p></sec></abstract><kwd-group><kwd>Chlamydia</kwd><kwd>Gonorrhoeae</kwd><kwd>Urogenital schistosomiasis</kwd><kwd>Ghana</kwd></kwd-group></article-meta></front><body><sec><title>Background</title><p>Globally, sexually transmitted infections (STIs) are of public health concern. It is estimated, that 499 million new curable STI cases occur annually [<xref ref-type="bibr" rid="B1">1</xref>]. Among the broad range of bacterial STIs, CT and NG are the most prevalent bacterial STIs, with sub-Saharan Africa having the highest prevalence rates of these infections [<xref ref-type="bibr" rid="B2">2</xref>].</p><p>In most cases, women infected with CT and NG are asymptomatic [<xref ref-type="bibr" rid="B3">3</xref>]. Risk factors include young age, female, number and type of sexual partners and contraceptive use [<xref ref-type="bibr" rid="B4">4</xref>-<xref ref-type="bibr" rid="B6">6</xref>]. Untreated CT and NG infections have been associated with pelvic inflammatory diseases (PID): infertility, ectopic pregnancy, chronic pelvic pain, cervical cancer, spontaneous abortion, premature delivery and low birth weight [<xref ref-type="bibr" rid="B7">7</xref>]. Studies suggest the possibility of women with untreated urogenital schistosomiasis also present with similar adverse outcomes [<xref ref-type="bibr" rid="B8">8</xref>-<xref ref-type="bibr" rid="B11">11</xref>]. According to Gray et al. [<xref ref-type="bibr" rid="B12">12</xref>], CT and NG facilitate the susceptibility of women to HIV infection.</p><p>It has also been hypothesized that <italic>Schistosoma haematobium</italic> infection may increase the susceptibility to HIV infection [<xref ref-type="bibr" rid="B13">13</xref>]. Leutscher et al. [<xref ref-type="bibr" rid="B14">14</xref>] also reports overlap of STIs and schistosomiasis among young adults living in urogenital schistosomiasis endemic areas. This overlap occurs at the time when urogenital schistosomiasis infection prevalence and intensity peaks and begins to decrease in young adults, while at the same time they begin to acquire sexually transmitted infections (STIs); this predisposes them to concomitant STI /schistosomiasis infection.</p><p>While urogenital schistosomiasis is endemic in Ghana, we found no studies assessing the prevalence of STI infections in these areas. According to Apea-Kubi et al. [<xref ref-type="bibr" rid="B15">15</xref>] most studies on CT and NG in Ghana have targeted high risk groups, hospital attendees and populations in urban settings. We therefore sought to assess the prevalence of both CT and NG among women living in rural urogenital schistosomiasis endemic communities and explore the association between the STIs and various factors that may promote infection.</p></sec><sec sec-type="methods"><title>Methods</title><sec><title>Study design</title><p>This study was part of a larger cross-sectional epidemiological survey on urogenital schistosomiasis and HIV in the Volta Basin of Ghana involving 1,695 women. Out of these, 420 (24.8%) women aged 15–49 years, voluntarily enrolled for the study on female genital schistosomiasis (FGS) and HIV which involved screening for genital infections and HIV [<xref ref-type="bibr" rid="B16">16</xref>]. Out of the 420, 191 of them were randomly screened for CT and NG. The study area spanned the Afram arm of the Volta Basin to about 40 km downstream below the Akosombo dam. The study communities are all rural and located along the Volta River. Major occupations engaged in are fishing, farming and petty trading as shown by the demographic characteristic of study participants in Table <xref ref-type="table" rid="T1">1</xref>. The overall adult (categorized as persons 15 years and above) urinary schistosomiasis prevalence rate in the study area was 46.5%. The prevalence rate of the disease in males and females is 56.5% and 36.9% respectively [<xref ref-type="bibr" rid="B16">16</xref>].</p><table-wrap position="float" id="T1"><label>Table 1</label><caption><p>Demographic characteristics of women enrolled in the epidemiological survey</p></caption><table frame="hsides" rules="groups" border="1"><colgroup><col align="left"></col><col align="left"></col></colgroup><thead valign="top"><tr><th align="left"><bold>Age group (years)</bold></th><th align="left"><bold>Number (%)</bold></th></tr></thead><tbody valign="top"><tr><td align="left" valign="bottom"><bold>Age (years)</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">15-24<hr></hr></td><td align="left" valign="bottom">35 (18.2)<hr></hr></td></tr><tr><td align="left" valign="bottom">25-34<hr></hr></td><td align="left" valign="bottom">72 (37.7)<hr></hr></td></tr><tr><td align="left" valign="bottom">> 34<hr></hr></td><td align="left" valign="bottom">84 (44.0)<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Marital status</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Single<hr></hr></td><td align="left" valign="bottom">38(19.9)<hr></hr></td></tr><tr><td align="left" valign="bottom">Married<hr></hr></td><td align="left" valign="bottom">142 (74.3)<hr></hr></td></tr><tr><td align="left" valign="bottom">Divorced<hr></hr></td><td align="left" valign="bottom">6(3.1)<hr></hr></td></tr><tr><td align="left" valign="bottom">Widowed<hr></hr></td><td align="left" valign="bottom">5 (2.6)<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Education level</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Illiterate<hr></hr></td><td align="left" valign="bottom">68 (35.6)<hr></hr></td></tr><tr><td align="left" valign="bottom">Primary<hr></hr></td><td align="left" valign="bottom">83 (43.5)<hr></hr></td></tr><tr><td align="left" valign="bottom">JHS<hr></hr></td><td align="left" valign="bottom">32 (16.8)<hr></hr></td></tr><tr><td align="left" valign="bottom">SHS<hr></hr></td><td align="left" valign="bottom">8 (4.1)<hr></hr></td></tr><tr><td align="left" valign="bottom">Tertiary<hr></hr></td><td align="left" valign="bottom">0 (0.0)<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Occupation</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Schooling<hr></hr></td><td align="left" valign="bottom">9 (4.7)<hr></hr></td></tr><tr><td align="left" valign="bottom">Fishing<hr></hr></td><td align="left" valign="bottom">4 (2.1)<hr></hr></td></tr><tr><td align="left" valign="bottom">Farming<hr></hr></td><td align="left" valign="bottom">68 (35.6)<hr></hr></td></tr><tr><td align="left" valign="bottom">Trading<hr></hr></td><td align="left" valign="bottom">93 (48.7)<hr></hr></td></tr><tr><td align="left" valign="bottom">Unemployed<hr></hr></td><td align="left" valign="bottom">6 (3.1)<hr></hr></td></tr><tr><td align="left" valign="bottom">Others<hr></hr></td><td align="left" valign="bottom">11 (5.7)<hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Length of stay in village (years)</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Less than 1<hr></hr></td><td align="left" valign="bottom">4 (2.1)<hr></hr></td></tr><tr><td align="left" valign="bottom">Between 1 and 2<hr></hr></td><td align="left" valign="bottom">4 (2.1)<hr></hr></td></tr><tr><td align="left" valign="bottom">Between 2 and 5<hr></hr></td><td align="left" valign="bottom">18 (9.4)<hr></hr></td></tr><tr><td align="left" valign="bottom">Between 5 and 10<hr></hr></td><td align="left" valign="bottom">51 (26.7)<hr></hr></td></tr><tr><td align="left">More than 10</td><td align="left">114 (59.7)</td></tr></tbody></table><table-wrap-foot><p>JHS-Junior High Secondary.</p><p>SHS-Senior High Seconday.</p></table-wrap-foot></table-wrap><p>The eligibility criteria and recruitment procedure used in this study has already been described elsewhere [<xref ref-type="bibr" rid="B17">17</xref>]. Briefly, study participants who voluntarily agreed to participate in the study were recruited from the larger study after informed verbal consent was provided. All participants prior to screening were administered a structured questionnaire that focused on their obstetric and gynaecological history and self-reported gynaecological symptoms observed at the time of the study. This questionnaire was in English but was administered in private by Research Fellows and trained Research Assistants. Questionnaires were administered in the local languages spoken by study participants; Ewe, Dangme and Twi.</p><p>After responding to the questionnaires, all participants were physically examined by a gynaecologist, and we excluded pregnant women , virgins, those who have had surgery, those who had the presence of any health condition (e.g. diabetes, hypertension etc.) and women menstruating at the time of the study. The inclusion criteria were:</p><p>1. Age between 15 and 49 years</p><p>2. Sexually active</p><p>3. Living in study area for over a year</p><p>4. Willingness to participate in study</p><p>Additionally, the gynaecologist physically examined the external and internal genitalia for any abnormality and these were recorded. Endocervical specimens were collected and placed immediately into 2SP transport medium (2 M sucrose and 0.02 M phosphate) (Roche Diagnostics, Indianapolis USA) and transported on ice at 4°C to Noguchi Memorial Institute for Medical Research (NMIMR) to be tested for C<italic>hlamydia trachomatis and Neisseria gonorrhoeae</italic> detection.</p><p>CT and NG were diagnosed using the Amplicor <italic>C. trachomatis/N. gonorrheae</italic> assay (Roche Diagnostic Corporation, Indianapolis, IN, USA). All tests were done according to the manufacturer’s description/instruction on the package Van der pol <italic>et al</italic>. [<xref ref-type="bibr" rid="B18">18</xref>].</p><p>Ethical approval for the study was granted by the Noguchi Memorial Institute for Medical Research, Institutional Review Board. Consent was also granted by District Health Management teams, Community leaders, Community members and study participants. Participants who tested positive for both CT and NG were treated by the gynecologist according to stipulated national guidelines.</p></sec><sec><title>Data analysis</title><p>All data were double entered in Microsoft excel (Microsoft Corporation, Redmond, WA, USA) to ensure accuracy and later transferred into SPSS version 18 for analysis. First, descriptive statistics were done which was followed by using the Chi-square test and logistic regression to determine association between CT and NG infections, the dependent variables and independent variables such as age, sexual behaviour and self-reported symptoms. All analyses performed excluded missing data and were conducted at 95% confidence intervals (CI).</p></sec></sec><sec sec-type="results"><title>Results</title><p>Out of the 191 women screened for CT and NG in this study, 12(6.3%) and 5(2.6%) were positive for CT and NG respectively, and 2 (1.0%) co-infected with both CT and NG. The majority of study participants who were diagnosed with CT were within the age group 15–24 years (Table <xref ref-type="table" rid="T2">2</xref>). The results from Table <xref ref-type="table" rid="T2">2</xref> also show that, there was no association between CT and all the factors assessed (age, number of births, sexual behaviour).</p><table-wrap position="float" id="T2"><label>Table 2</label><caption><p>Association between CT and selected characteristics of study subjects</p></caption><table frame="hsides" rules="groups" border="1"><colgroup><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col></colgroup><thead valign="top"><tr><th align="left" valign="bottom"> <hr></hr></th><th colspan="2" align="left" valign="bottom"><bold>CT infection status</bold><hr></hr></th><th colspan="3" align="left" valign="bottom"><bold>Measure of association</bold><hr></hr></th></tr><tr><th align="left"><bold>Characteristics</bold></th><th align="left"><bold>Number positive (%)</bold></th><th align="left"><bold>Number negative (%)</bold></th><th align="left"><bold>Chi-square (P value)</bold></th><th align="left"><bold>OR(CI)</bold></th><th align="left"><bold>P value</bold></th></tr></thead><tbody valign="top"><tr><td align="left" valign="bottom"><bold>Age group (N = 186)</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">15-24<hr></hr></td><td align="left" valign="bottom">4 (11.4)<hr></hr></td><td align="left" valign="bottom">31 (88.6)<hr></hr></td><td align="left" valign="bottom">2.6 (0.3)<hr></hr></td><td align="left" valign="bottom">3.4 (0.7-16.5)<hr></hr></td><td align="left" valign="bottom">0.1<hr></hr></td></tr><tr><td align="left" valign="bottom">25-34<hr></hr></td><td align="left" valign="bottom">5 (6.9)<hr></hr></td><td align="left" valign="bottom">67 (93.1)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom">2.0 (0.4-8.7)<hr></hr></td><td align="left" valign="bottom">0.3<hr></hr></td></tr><tr><td align="left" valign="bottom">* ≥ 35<hr></hr></td><td align="left" valign="bottom">3 (3.6)<hr></hr></td><td align="left" valign="bottom">81 (96.4)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Number of births (N = 190)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">0<hr></hr></td><td align="left" valign="bottom">3 (13.6)<hr></hr></td><td align="left" valign="bottom">19 (86.4)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom">3.4 (0.7-16.6)<hr></hr></td><td align="left" valign="bottom">0.1<hr></hr></td></tr><tr><td align="left" valign="bottom">1-3<hr></hr></td><td align="left" valign="bottom">5 (5.9)<hr></hr></td><td align="left" valign="bottom">73 (93.6)<hr></hr></td><td align="left" valign="bottom">2.6 (0.3)<hr></hr></td><td align="left" valign="bottom">1.4 (0.4-5.8_)<hr></hr></td><td align="left" valign="bottom">0.6<hr></hr></td></tr><tr><td align="left" valign="bottom">* ≥ 4<hr></hr></td><td align="left" valign="bottom">4 (4.4)<hr></hr></td><td align="left" valign="bottom">87 (95.6)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Number of sexual partners in past one year (N = 191)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">0<hr></hr></td><td align="left" valign="bottom">0 (0.0)<hr></hr></td><td align="left" valign="bottom">10 (100.0)<hr></hr></td><td align="left" valign="bottom">1.4 (0.4)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td></tr><tr><td align="left" valign="bottom">1<hr></hr></td><td align="left" valign="bottom">11 (6.3)<hr></hr></td><td align="left" valign="bottom">163 (93.7)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td></tr><tr><td align="left" valign="bottom">2<hr></hr></td><td align="left" valign="bottom">1(16.7)<hr></hr></td><td align="left" valign="bottom">5 (83.3)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom">3.2<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td></tr><tr><td align="left" valign="bottom">* ≥ 3<hr></hr></td><td align="left" valign="bottom">0 (0.0)<hr></hr></td><td align="left" valign="bottom">1 (100)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Age at first intercourse (N = 189)</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">9-15<hr></hr></td><td align="left" valign="bottom">4 (8.2)<hr></hr></td><td align="left" valign="bottom">45 (91.8)<hr></hr></td><td align="left" valign="bottom">1.0 (0.8)<hr></hr></td><td align="left" valign="bottom">1.4<hr></hr></td><td align="left" valign="bottom">0.9<hr></hr></td></tr><tr><td align="left" valign="bottom">16-22<hr></hr></td><td align="left" valign="bottom">8 (6.1)<hr></hr></td><td align="left" valign="bottom">123 (93.9)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom">1.1<hr></hr></td><td align="left" valign="bottom">0.9<hr></hr></td></tr><tr><td align="left" valign="bottom">≥23<hr></hr></td><td align="left" valign="bottom">0(0.0)<hr></hr></td><td align="left" valign="bottom">11 (100.0)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Frequency of sexual intercourse (N = 187)</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Every day<hr></hr></td><td align="left" valign="bottom">0 (0.0)<hr></hr></td><td align="left" valign="bottom">2 (100.0)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom">0.0 (0.0)<hr></hr></td><td align="left" valign="bottom">0.9<hr></hr></td></tr><tr><td align="left" valign="bottom">Once a week<hr></hr></td><td align="left" valign="bottom">9 (6.8)<hr></hr></td><td align="left" valign="bottom">123 (93.2)<hr></hr></td><td align="left" valign="bottom">0.9 (0.9)<hr></hr></td><td align="left" valign="bottom">0.0 (0.0)<hr></hr></td><td align="left" valign="bottom">0.9<hr></hr></td></tr><tr><td align="left" valign="bottom">Twice in a month<hr></hr></td><td align="left" valign="bottom">0 (0.0)<hr></hr></td><td align="left" valign="bottom">7 (100.0)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom">1.05 (0.3-4.1)<hr></hr></td><td align="left" valign="bottom">0.9<hr></hr></td></tr><tr><td align="left" valign="bottom">≤ once a month<hr></hr></td><td align="left" valign="bottom">3 (6.5)<hr></hr></td><td align="left" valign="bottom">43 (93.5)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom"><bold>Contraceptive use (N = 191)</bold><hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No contraceptive use<hr></hr></td><td align="left" valign="bottom">11 (7.4)<hr></hr></td><td align="left" valign="bottom">137 (92.6)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom">2.8 (0.4-23.0)<hr></hr></td><td align="left" valign="bottom">0.3<hr></hr></td></tr><tr><td align="left" valign="bottom">Hormonal contraceptive use<hr></hr></td><td align="left" valign="bottom">0 (0.0)<hr></hr></td><td align="left" valign="bottom">6 (100.0)<hr></hr></td><td align="left" valign="bottom">0.8 (0.6)<hr></hr></td><td align="left" valign="bottom">0.0 (0.0)<hr></hr></td><td align="left" valign="bottom">0.9<hr></hr></td></tr><tr><td align="left">*Non hormonal contraceptive use</td><td align="left">1 (2.7)</td><td align="left">36 (97.3)</td><td align="left"> </td><td align="left"> </td><td align="left"> </td></tr></tbody></table><table-wrap-foot><p>*Variables used as reference category in regression model.</p><p>OR- Odds Ratio; CI- Confidence Interval.</p><p>where p-value is 0.9 and 1, no CI was computed by model.</p></table-wrap-foot></table-wrap><p>Table <xref ref-type="table" rid="T3">3</xref> shows the relationship between NG infection and factors studied. All the subjects infected with NG were between the ages of 15 to 34 years. In analyzing for any association between NG and the various factors by chi-square test, the study showed a significant difference between NG and age (p = 0.002), NG and number of births a woman has undergone (p = 0.04) and NG and number of sexual partners a woman had in the past year (p = 0.00). We also found only 1.0% of women who had never given birth and 1.6% of women who had given birth 1 to 3 times to be infected with NG. The rest of the women who had given birth 4 times and more were NG negative (Table <xref ref-type="table" rid="T3">3</xref>). The majority of participants (174) had had one sexual partner in the preceding year to the study. Regarding having multiples sexual partners, only 6 participants reported having 2 sexual partners and 1 participant reported having 5 sexual partners in the year preceding this study. Ten of them indicated they had had no sexual partners in the past year (Table <xref ref-type="table" rid="T3">3</xref>). Among subjects found to be positive for NG, 1.6% of them had no sexual partner and 1.0% had a single sexual partner. There was no association found between number of sexual partners and NG infection and contraceptive use and NG both by chi-square and logistic regression.</p><table-wrap position="float" id="T3"><label>Table 3</label><caption><p>Association between NG and selected characteristics of study subjects</p></caption><table frame="hsides" rules="groups" border="1"><colgroup><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col></colgroup><thead valign="top"><tr><th align="left"><bold>Characteristics</bold></th><th align="left"><bold>No. positive (%)</bold></th><th align="left"><bold>No. negative (%)</bold></th><th align="left"><bold>Chi-square P value</bold></th><th align="left"><bold>OR (CI)</bold></th><th align="left"><bold>P value</bold></th></tr></thead><tbody valign="top"><tr><td align="left" valign="bottom">Age group (N = 186)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">15-24<hr></hr></td><td align="left" valign="bottom">3 (8.6)<hr></hr></td><td align="left" valign="bottom">32 (91.4)<hr></hr></td><td align="left" valign="bottom">7.0 (0.03))<hr></hr></td><td align="left" valign="bottom">1.5 (0.0)<hr></hr></td><td align="left" valign="bottom">0.9<hr></hr></td></tr><tr><td align="left" valign="bottom">25-34<hr></hr></td><td align="left" valign="bottom">2 (2.8)<hr></hr></td><td align="left" valign="bottom">70 (97.2)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom">4.6 (0.0)<hr></hr></td><td align="left" valign="bottom">0.9<hr></hr></td></tr><tr><td align="left" valign="bottom">* ≥ 35<hr></hr></td><td align="left" valign="bottom">0 (0.0)<hr></hr></td><td align="left" valign="bottom">84 (100.0)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Number of births (N = 190)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">0<hr></hr></td><td align="left" valign="bottom">3 (13.6)<hr></hr></td><td align="left" valign="bottom">19 (86.4)<hr></hr></td><td align="left" valign="bottom">12.9<hr></hr></td><td align="left" valign="bottom">2.5 (0.0)<hr></hr></td><td align="left" valign="bottom">1<hr></hr></td></tr><tr><td align="left" valign="bottom">1-3<hr></hr></td><td align="left" valign="bottom">2 (2.6)<hr></hr></td><td align="left" valign="bottom">76 (97.4)<hr></hr></td><td align="left" valign="bottom">(0.002)<hr></hr></td><td align="left" valign="bottom">4.2 (0.0)<hr></hr></td><td align="left" valign="bottom">1<hr></hr></td></tr><tr><td align="left" valign="bottom">* ≥ 4<hr></hr></td><td align="left" valign="bottom">0 (0.000)<hr></hr></td><td align="left" valign="bottom">91 (100.0)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Number of sexual partners in past one year (N = 191)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">0<hr></hr></td><td align="left" valign="bottom">0 (0.0)<hr></hr></td><td align="left" valign="bottom">10 (100.0)<hr></hr></td><td align="left" valign="bottom">23<hr></hr></td><td align="left" valign="bottom">1.0 (0.0)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td></tr><tr><td align="left" valign="bottom">1<hr></hr></td><td align="left" valign="bottom">3 (1.7)<hr></hr></td><td align="left" valign="bottom">171 (98.3)<hr></hr></td><td align="left" valign="bottom">(0.00)<hr></hr></td><td align="left" valign="bottom">2.8(0.0)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td></tr><tr><td align="left" valign="bottom">2<hr></hr></td><td align="left" valign="bottom">2 (33.3)<hr></hr></td><td align="left" valign="bottom">4 (66.7)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom">8.0(0.0)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td></tr><tr><td align="left" valign="bottom">≥3<hr></hr></td><td align="left" valign="bottom">0 (0.0)<hr></hr></td><td align="left" valign="bottom">1 (100.0)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Age at first intercourse (N = 189)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">9-15<hr></hr></td><td align="left" valign="bottom">1 (2.0)<hr></hr></td><td align="left" valign="bottom">48 (89.0)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom">3.3<hr></hr></td><td align="left" valign="bottom">1.1<hr></hr></td></tr><tr><td align="left" valign="bottom">16-22<hr></hr></td><td align="left" valign="bottom">4 (3.1)<hr></hr></td><td align="left" valign="bottom">127 (96.9)<hr></hr></td><td align="left" valign="bottom">0.6 (0.9)<hr></hr></td><td align="left" valign="bottom">5.0<hr></hr></td><td align="left" valign="bottom">1.1<hr></hr></td></tr><tr><td align="left" valign="bottom">≥23<hr></hr></td><td align="left" valign="bottom">0(0.0)<hr></hr></td><td align="left" valign="bottom">11 (100.0)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Frequency of sexual intercourse (N = 187)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Every day<hr></hr></td><td align="left" valign="bottom">0 (0.0)<hr></hr></td><td align="left" valign="bottom">2 (100.0)<hr></hr></td><td align="left" valign="bottom">2.2 (0.))<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td></tr><tr><td align="left" valign="bottom">Once a week<hr></hr></td><td align="left" valign="bottom">5 (3.8)<hr></hr></td><td align="left" valign="bottom">127 (96.2)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom">6.3<hr></hr></td><td align="left" valign="bottom">0.9<hr></hr></td></tr><tr><td align="left" valign="bottom">Twice in a month<hr></hr></td><td align="left" valign="bottom">0 (0.0)<hr></hr></td><td align="left" valign="bottom">7 (100.0)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td></tr><tr><td align="left" valign="bottom">≤ once a month<hr></hr></td><td align="left" valign="bottom">0 (0.0)<hr></hr></td><td align="left" valign="bottom">46 (100.0)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Contraceptive use (N = 191)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">No contraceptive use<hr></hr></td><td align="left" valign="bottom">4 (2.1)<hr></hr></td><td align="left" valign="bottom">144 (75.4)<hr></hr></td><td align="left" valign="bottom">0.2 (1.0)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom">1<hr></hr></td></tr><tr><td align="left" valign="bottom">Hormonal contraceptive use<hr></hr></td><td align="left" valign="bottom">0 (0.0)<hr></hr></td><td align="left" valign="bottom">6 (100.0)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom">0.0<hr></hr></td><td align="left" valign="bottom">0.9<hr></hr></td></tr><tr><td align="left">*Non hormonal contraceptive use</td><td align="left">1 (0.5)</td><td align="left">36 (18.8)</td><td align="left"> </td><td align="left"> </td><td align="left"> </td></tr></tbody></table><table-wrap-foot><p>*Variables used as reference category in regression model.</p><p>OR- Odds Ratio; CI- Confidence Interval.</p><p>where p-value is 0.9 and 1, no CI was computed by model.</p></table-wrap-foot></table-wrap><p>Tables <xref ref-type="table" rid="T4">4</xref> and <xref ref-type="table" rid="T5">5</xref> also show the distribution of self-reported symptoms by CT and NG infection status respectively. The study revealed that the majority of participants with self-reported symptoms were negative for CT and NG respectively. There was also no association found between the STIs and any of the reported symptoms both by chi-square and logistic regression.</p><table-wrap position="float" id="T4"><label>Table 4</label><caption><p>Association between CT infection and self- reported symptom</p></caption><table frame="hsides" rules="groups" border="1"><colgroup><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col></colgroup><thead valign="top"><tr><th rowspan="2" align="left" valign="top"><bold>Symptoms</bold></th><th colspan="2" align="left" valign="bottom"><bold>CT status</bold><hr></hr></th><th colspan="3" align="left" valign="bottom"><bold>Measure of association</bold><hr></hr></th></tr><tr><th align="left"><bold><italic>No. positive (%)</italic></bold></th><th align="left"><bold><italic>No. negative (%)</italic></bold></th><th align="left"><bold><italic>Chi-square</italic></bold></th><th align="left"><bold><italic>OR (CI)</italic></bold></th><th align="left"><bold><italic>p value (CI)</italic></bold></th></tr></thead><tbody valign="top"><tr><td align="left" valign="bottom">Vaginal itch (N = 120)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">6 (7.3)<hr></hr></td><td align="left" valign="bottom">76 (92.7)<hr></hr></td><td align="left" valign="bottom">0.1<hr></hr></td><td align="left" valign="bottom">1.1 (0.1-2.0)<hr></hr></td><td align="left" valign="bottom">0.9<hr></hr></td></tr><tr><td align="left" valign="bottom">*No<hr></hr></td><td align="left" valign="bottom">3 (7.9)<hr></hr></td><td align="left" valign="bottom">35 (92.1)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Lower abdominal pain (N = 191)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">7 (6.6)<hr></hr></td><td align="left" valign="bottom">99 (93.4)<hr></hr></td><td align="left" valign="bottom">0.4<hr></hr></td><td align="left" valign="bottom">0.9 (0.3-5.0)<hr></hr></td><td align="left" valign="bottom">0.8<hr></hr></td></tr><tr><td align="left" valign="bottom">*No<hr></hr></td><td align="left" valign="bottom">5 (5.9)<hr></hr></td><td align="left" valign="bottom">80 (94.1)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Dyspareunia (N = 191)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">4 (5.3)<hr></hr></td><td align="left" valign="bottom">71 (94.7)<hr></hr></td><td align="left" valign="bottom">0.2<hr></hr></td><td align="left" valign="bottom">1.3 (0.4-4.5)<hr></hr></td><td align="left" valign="bottom">0.6<hr></hr></td></tr><tr><td align="left" valign="bottom">*No<hr></hr></td><td align="left" valign="bottom">8 (6.9)<hr></hr></td><td align="left" valign="bottom">108 (93.1)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Vaginal discharge (N = 191)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">9 (7.7)<hr></hr></td><td align="left" valign="bottom">108 (92.3)<hr></hr></td><td align="left" valign="bottom">1.0<hr></hr></td><td align="left" valign="bottom">0.5 (0.1-2.0)<hr></hr></td><td align="left" valign="bottom">0.3<hr></hr></td></tr><tr><td align="left">*No</td><td align="left">3 (4.1)</td><td align="left">71 (95.9)</td><td align="left"> </td><td align="left"> </td><td align="left"> </td></tr></tbody></table><table-wrap-foot><p>*Variables used as reference category in regression model.</p><p>OR- Odds Ratio; CI- Confidence Interval.</p></table-wrap-foot></table-wrap><table-wrap position="float" id="T5"><label>Table 5</label><caption><p>Association between NG infection and self- reported symptom</p></caption><table frame="hsides" rules="groups" border="1"><colgroup><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col><col align="left"></col></colgroup><thead valign="top"><tr><th rowspan="2" align="left" valign="top"><bold>Symptoms</bold></th><th colspan="2" align="left" valign="bottom"><bold>NG status</bold><hr></hr></th><th colspan="3" align="left" valign="bottom"><bold>Measure of association</bold><hr></hr></th></tr><tr><th align="left"><bold><italic>No. positive (%)</italic></bold></th><th align="left"><bold><italic>No. negative (%)</italic></bold></th><th align="left"><bold><italic>Chi-square</italic></bold></th><th align="left"><bold><italic>OR (CI)</italic></bold></th><th align="left"><bold><italic>p value</italic></bold></th></tr></thead><tbody valign="top"><tr><td align="left" valign="bottom">Vaginal itch (N = 120)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">3 (3.7)<hr></hr></td><td align="left" valign="bottom">79 (92.3)<hr></hr></td><td align="left" valign="bottom">0.08 (1.0)<hr></hr></td><td align="left" valign="bottom">0.7 (0.07-7.1)<hr></hr></td><td align="left" valign="bottom">0.7<hr></hr></td></tr><tr><td align="left" valign="bottom">*No<hr></hr></td><td align="left" valign="bottom">1 (2.6)<hr></hr></td><td align="left" valign="bottom">37 (94.4)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Lower abdominal pain (N = 191)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">2 (1.9)<hr></hr></td><td align="left" valign="bottom">104 (98.1)<hr></hr></td><td align="left" valign="bottom">0.5 (0.7)<hr></hr></td><td align="left" valign="bottom">1.9 (0.3-11.7)<hr></hr></td><td align="left" valign="bottom">0.4<hr></hr></td></tr><tr><td align="left" valign="bottom">*No<hr></hr></td><td align="left" valign="bottom">3 (3.5)<hr></hr></td><td align="left" valign="bottom">82 (96.5)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Dyspareunia (N = 191)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">4 (5.3)<hr></hr></td><td align="left" valign="bottom">72 (94.7)<hr></hr></td><td align="left" valign="bottom">3.5 (0.08)<hr></hr></td><td align="left" valign="bottom">2.8 (0.3-25)<hr></hr></td><td align="left" valign="bottom">0.4<hr></hr></td></tr><tr><td align="left" valign="bottom">*No<hr></hr></td><td align="left" valign="bottom">1 (0.9)<hr></hr></td><td align="left" valign="bottom">115 (99.1)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Vaginal discharge (N = 191)<hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td><td align="left" valign="bottom"> <hr></hr></td></tr><tr><td align="left" valign="bottom">Yes<hr></hr></td><td align="left" valign="bottom">4 (3.4)<hr></hr></td><td align="left" valign="bottom">113 (96.6)<hr></hr></td><td align="left" valign="bottom">0.8 (0.7)<hr></hr></td><td align="left" valign="bottom">0.4 (0.004-3.5)<hr></hr></td><td align="left" valign="bottom">0.4<hr></hr></td></tr><tr><td align="left">*No</td><td align="left">1 (1.4)</td><td align="left">73 (98.6)</td><td align="left"> </td><td align="left"> </td><td align="left"> </td></tr></tbody></table><table-wrap-foot><p>*Variables used as reference category in regression model.</p><p>OR- Odds Ratio; CI- Confidence Interval.</p></table-wrap-foot></table-wrap></sec><sec><title>Discussion and conclusions</title><p>This study reports on CT and NG prevalence among women of reproductive age living in rural urogenital schistosomiasis communities in the Volta Basin of Ghana. The prevalence levels found were 6.3% and 2.3% for CT and NG respectively. Earlier prevalence studies conducted in Ghana among high risk populations (gynaecologic clinic attendees, women recruited from drinking bars, night clubs, female hostels and work places of apprentice seamstresses and hairdressers) reported CT prevalence rates ranging from 1.5% to 4.8% and NG prevalence rates ranging from 0 to 3.1% [<xref ref-type="bibr" rid="B4">4</xref>,<xref ref-type="bibr" rid="B15">15</xref>,<xref ref-type="bibr" rid="B19">19</xref>,<xref ref-type="bibr" rid="B20">20</xref>]. Another study conducted in a health facility in Zambia found prevalence rate of CT and NG among HIV infected women to be 1% and 1.4% respectively [<xref ref-type="bibr" rid="B21">21</xref>]. On the other hand, the CT prevalence rate determined by our study is consistent with findings from a similar study by Leutscher et al. [<xref ref-type="bibr" rid="B14">14</xref>] in a urogenital schistosomiasis community in Madagascar where they found CT prevalence rate of 9.8% among their study participants.</p><p>The higher prevalence of CT reported by this study when compared to others conducted in Ghana in non-urogenital schistosomiasis endemic areas reported may be explained by the fact, that schistosomiasis infection which usually occurs in childhood among people living in endemic areas may compromise the reproductive tract by causing ulceration and thinning of the epithelium before an individual reaches the sexual active age. This allows for easy penetration and implantation of any STI that may be contracted when an already positive schistosomiasis case becomes sexually active as a young adult [<xref ref-type="bibr" rid="B22">22</xref>]. In a community based study in Northern Tanzania, Poggensee et al<italic>.</italic>[<xref ref-type="bibr" rid="B23">23</xref>] found high prevalence of FGS in all age groups and the high levels of pathologic cervical alterations such as swollen and disrupted epithelium, supporting the hypothesis that FGS was a risk factor for the transmission of STI infections.</p><p>Our findings did not reveal any association between self-reported symptoms and STIs studied. Nevertheless, we observed only a few, less than 10.0%, of the STI positive cases to report the presence of some symptom(s). As shown by Romoren et al. [<xref ref-type="bibr" rid="B2">2</xref>], many CT and NG infected individuals are asymptomatic. A meta-analysis of several studies by Wasserheit [<xref ref-type="bibr" rid="B24">24</xref>] demonstrated, that only 28% of women with CT and NG infection reported symptom of vaginal discharge. She also found, that 92% of cases with vaginal discharge to be neither infected with CT nor NG. Similar observations were also made by this study. As such this study supports earlier suggestions that a syndromic approach should not be used as a screening tool for CT and NG [<xref ref-type="bibr" rid="B25">25</xref>-<xref ref-type="bibr" rid="B28">28</xref>].</p><p>Our study was limited in a number of ways. Firstly, the fact that participation was on a voluntary basis created selection bias and therefore our sample participants may not be representative of the population in the study area. Also, our study participants presented (with) similar characteristics and this may account for the weak relationship observed between the infections and the factors studied. For instance the majority of the participants were married and were not expected to have multiple partners, hence it was not surprising that there was no association between number of sexual partners and CT and NG. Likewise, contraceptive use in most African rural settings, particularly in marital relationships is low. It was therefore expected that contraceptive use would be low and this also accounted for the fact that no association was observed between STIs and contraceptive used. Secondly, because of the small sample size, study results may not be robust and therefore should be interpreted with caution. Thirdly, we did not consider antibiotic usage among participants which may have also impacted on STI prevalence rates observed.</p><p>This study, nevertheless, serves as a baseline study for future studies on STIs in schistosomiasis endemic areas. There is a need for community screening and treatment, and health educational campaigns on STI infections in urogenital schistosomiasis endemic communities in the country.</p></sec><sec><title>Competing interests</title><p>The authors declare that they have no competing interests.</p></sec><sec><title>Authors’ contributions</title><p>Contribution of the authors is as follows; DYT, KAAK and KMB designed the study and wrote the protocol. DYT, TA, KAAK, GL and LA collected data. KAAK and GL collected gynaecological samples, and LA conducted bacteriological assessment. Authors DYT and DM, worked on the data analysis and DYT and KMB drafted the manuscript. All authors read and approved the final manuscript.</p></sec></body><back><sec><title>Acknowledgement</title><p>We acknowledge the involvement of study participants and community leaders, the institutional support from the various District Health Management Teams and contributions from staffs of the Volta River Authority, Noguchi Memorial Institute for Medical Research and the Volta Basin Research project of the University of Ghana. 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