<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OALibJ</journal-id><journal-title-group><journal-title>Open Access Library Journal</journal-title></journal-title-group><issn pub-type="epub">2333-9705</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oalib.1109508</article-id><article-id pub-id-type="publisher-id">OALibJ-121399</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Business&amp;Economics</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Engineering</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Study of Precancerous Cervical Lesions and Associated Factors among Women Aged between 18 and 65 Years in Koumpentoum (Senegal)
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>El</surname><given-names>Hadji Cheikh Abdoulaye Diop</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abdoul</surname><given-names>Aziz Ndiaye</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Martial</surname><given-names>Coly Bop</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Unité de Formation et de Recherche en Santé et Développement Durable, Université Alioune DIOP de Bambey, Bambey, Sénégal</addr-line></aff><aff id="aff1"><addr-line>District Sanitaire de Koumpentoum, Ministère de la Santé et l’Action Sociale, Koumpentoum, Sénégal</addr-line></aff><pub-date pub-type="epub"><day>01</day><month>11</month><year>2022</year></pub-date><volume>09</volume><issue>11</issue><fpage>1</fpage><lpage>11</lpage><history><date date-type="received"><day>1,</day>	<month>November</month>	<year>2022</year></date><date date-type="rev-recd"><day>20,</day>	<month>November</month>	<year>2022</year>	</date><date date-type="accepted"><day>23,</day>	<month>November</month>	<year>2022</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Introduction: Cervical cancer can be prevented by papillomavirus vaccination and screening for precancerous lesions. Initiated in the district in 2018, screening has never been studied. The objective of this research was to investigate the frequency of precancerous lesions and associated factors. 
  Methods: This was a descriptive and analytical cross-sectional study. Data were collected from screening registers. Sociodemographic characteristics, medical history, macroscopic data and therapeutic aspects were explored. Logistic regression was used in the multivariate analysis. 
  Results: A total of 385 women aged between 18 and 65 years were included. Almost all (95.58%) were married. The majority (79.48%) had no formal education. Almost all (91.17%) had no income-generating activity. The average age was (30 &#177; 9.68) years. The median age was 30 years. The frequency of sexually transmitted infections was (29.35%; 95% CI: 25.02 - 34.09) and that of precancerous lesions was (5.45%; 95% CI: 3.59 - 8.19). Factors significantly associated with the presence of precancerous cervical lesions were: age ≥ 40 years (ORa = 17.52 (4.51 - 67.14); p &lt; 0.001) and the history of sexually transmitted infections (ORa = 10.15 (3.46 - 29.85); p &lt; 0.001). 
  Conclusion: Early detection and routine treatment of sexually transmitted infections combined with screening for precancerous cervical lesions in sexually active women can reduce the incidence of cervical cancer.
 
</p></abstract><kwd-group><kwd>Cervix</kwd><kwd> Cancer</kwd><kwd> Screening</kwd><kwd> Koumpentoum</kwd><kwd> Senegal</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Cervical cancer is caused by chronic infection with the oncogenic human papillomaviruses (HPV) [<xref ref-type="bibr" rid="scirp.121399-ref1">1</xref>]. With an estimated 604,000 new cases, it is the fourth most common cancer in women. In developing countries, which account for 85% of new cases and 90% of deaths worldwide, it is the second most common female cancer. Cervical cancer caused 320,000 deaths [<xref ref-type="bibr" rid="scirp.121399-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.121399-ref3">3</xref>] worldwide in 2020.</p><p>In Senegal, in the same year, cervical cancer ranked first for all cancers and all sexes combined, with 1,937 new cases, which represents 17.1% of all cancers. With 1,312 deaths in the same year, cervical cancer mortality represents 16.6% of all cancer mortality. Cervical cancer is the leading cancer in women with 26.8% of all cancers, followed by breast cancer with 25.1% [<xref ref-type="bibr" rid="scirp.121399-ref4">4</xref>]. The average delay in consultation is 8.2 months and 82% of patients present clinical signs at the time of diagnosis. Factors associated with cervical cancer are: age of first menstruation, age of first sexual intercourse and number of sexual partners [<xref ref-type="bibr" rid="scirp.121399-ref4">4</xref>]. Invasive cervical cancer is a serious disease with a one-year survival of 30% and a five-year survival of less than 1% [<xref ref-type="bibr" rid="scirp.121399-ref5">5</xref>].</p><p>A comparative predictive model predicts a 97% reduction in cervical cancers by combining HPV vaccination coverage with screening for precancerous cervical lesions (PCL) at least twice in life [<xref ref-type="bibr" rid="scirp.121399-ref6">6</xref>]. Pathology biopsy after colposcopy is the gold standard diagnosis for cervical cancer [<xref ref-type="bibr" rid="scirp.121399-ref7">7</xref>]. Experts recommend HPV testing in combination with cytology and colposcopy as routine screening for PCLs [<xref ref-type="bibr" rid="scirp.121399-ref8">8</xref>]. However, these tests require a technical platform and skilled human resources, and are inaccessible and expensive in developing countries. Visual inspection with acetic acid (VIAA) and/or lugol (VIL) is a low-cost and easy-to-perform screening method and is an alternative in developing countries without access to HPV testing, cytology and colposcopy [<xref ref-type="bibr" rid="scirp.121399-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.121399-ref10">10</xref>]. Catarino R. et al. in a meta-analysis of 26 studies report a sensitivity of 80% and specificity of 92% in women aged 25 and 60 years. Study region, screener capacity and population size did not affect the accuracy of VIAA screening [<xref ref-type="bibr" rid="scirp.121399-ref11">11</xref>]. The global strategy for the elimination of cervical cancer sets targets of vaccinating 90% of girls against HPVs by age 15, screening 70% of women by age 35 with an effective test and again by age 45, and treating 90% of women with LBC and invasive cervical cancers [<xref ref-type="bibr" rid="scirp.121399-ref12">12</xref>]. In Senegal, screening is recommended every 3 years in women aged between 30 and 69 years [<xref ref-type="bibr" rid="scirp.121399-ref13">13</xref>]. Screening for LPC has been practiced in all points of service in the health district of Koumpentoum since 2018, but has never been studied. The objective of this research is to determine the frequency of PCL as well as its associated factors in women aged between 18 and 69 years in Koumpentoum health district.</p></sec><sec id="s2"><title>2. Methodology</title><sec id="s2_1"><title>2.1. Study Framework</title><p>The health district of Koumpentoum is located in the region of Tambacounda. In 2021, the population was 170,418 inhabitants on a surface area of 7652 Km<sup>2</sup>, or a density of 22.27 inhabitants/Km<sup>2</sup>. The district had 23 health care and service delivery points, including 1 reference health centre and 22 health posts. A little more than half, i.e. 51% of the population lived less than 5 km from a health facility, 35% between 5 and 15 km and 14% more than 15 km away.</p></sec><sec id="s2_2"><title>2.2. Study Type and Period</title><p>This was a retrospective, descriptive and analytical study based on a database collected between 1<sup>st</sup> January 2020 and 31<sup>th</sup> December 2021 in all health care delivery points in the health district.</p></sec><sec id="s2_3"><title>2.3. Study Population</title><p>The study population consisted of women aged between 18 and 69 years targeted for screening at the district health centre or 22 health posts. The target population for screening was women aged between 30 and 69 years, 25,667 of whom 1907 were in urban areas and 23,760 in rural areas. The target for women aged between 18 and 69 was 37,870, of which 2813 were in urban areas and 35,057 in rural areas. The economic and social situation of the department is characterized by a low standard of living and a high rate of early marriage linked to socio-cultural realities; this justifies the practice of LPC screening from the age of 18 years [<xref ref-type="bibr" rid="scirp.121399-ref14">14</xref>].</p></sec><sec id="s2_4"><title>2.4. Inclusion and Non-Inclusion Criteria</title><p>All women aged between 18 and 65 years who were screened for cervical cancer at the centre and at the (22) district health posts and whose data were correctly and completely recorded were included.</p><p>Women screened whose data were not complete and correctly recorded were not included. Four women aged between 18 and 65 years with metastatic invasive cervical cancer at the time of screening were not included.</p></sec><sec id="s2_5"><title>2.5. Sampling</title><p>We conducted a comprehensive recruitment of women screened by VIAA/VIL from 1<sup>st</sup> January 2020 to 31<sup>th</sup> December 2021 and meeting the selection criteria. A total of 385 women aged between 18 and 65 years were included.</p></sec><sec id="s2_6"><title>2.6. Study Variables</title><p>The dependent variable was the presence of PCLs at VIAA/VIL. The independent variables were socio-demographic data, medical history, macroscopic data after VIA/VILI and therapeutic aspects.</p></sec><sec id="s2_7"><title>2.7. Data Collection</title><p>We used the LPC screening register to feed the electronic data recording platform.</p></sec><sec id="s2_8"><title>2.8. Data Management and Analysis</title><p>The data were collected with the Excel workbook 97-2003. They were analyzed with Epi Info 7.2.5.0, SPSS 20 and R 4.0.5 softwares. In the descriptive part, the quantitative variables were described with the extremes, the means and their standard deviations while the qualitative variables were described with their frequencies surrounded by their confidence intervals (IC 95%). In the bivariate analysis, the Pearson’s chi2 statistical test and Fisher’s test under the conditions of applicability were used to verify the existence of a statistically significant relationship. All independent variables with a p &lt; (0.25) in the bivariate analysis and those for which the literature review revealed a link with the dependent variable. The bottom-up stepwise approach allowed us to retain the independent variables with a statistically significant association with the presence of PCLs (p &lt; 5%). The independent variables were then removed after a nested model comparison by the Aikake information criterion (AIC) [<xref ref-type="bibr" rid="scirp.121399-ref15">15</xref>] until no improvement was found by the maximum likelihood test. The Hosmer-Lemoshow test [<xref ref-type="bibr" rid="scirp.121399-ref16">16</xref>] was used to check the conformity of the final model. The strength of the relationship between the independent and dependent variables was assessed using the crude OR and the adjusted OR with their 95% CIs.</p></sec><sec id="s2_9"><title>2.9. Ethical Considerations</title><p>The research protocol had been submitted to the health authorities. The survey was explained in the local language and for each participant the free and informed consent was obtained. The data collected was kept anonymous and in compliance with medical secrecy.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Description of the Study Population</title><p>In this study, 385 women aged between 18 and 65 years were interviewed. The minimum age was 18 years and the maximum age was 65 years. The average age was 30.07 &#177; 9.68 years and 89.8% were living in a couple. More than one third of the women (33.77%) were screened in urban areas and 73.25% of them were under 40 years old. Only 8.83% of the women were engaged in an income-generating activity (IGA) and 20.52% of them had attended school in French (<xref ref-type="table" rid="table1">Table 1</xref>).</p></sec><sec id="s3_2"><title>3.2. Practice of Cervical Precancer Screening</title><p>The proportion of women aged between 30 and 69 years screened was 0.92% and varied according to their place of residence. In fact, it was 3.93% in urban areas</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of women screened by VIA/VILI by socio-demographic characteristics, Koumpentoum, 2020-2022</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Modalities</th><th align="center" valign="middle" >Absolutes frequencies (n)</th><th align="center" valign="middle" >Relatives frequencies (%)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Location of screening</td><td align="center" valign="middle" >Urban</td><td align="center" valign="middle" >130</td><td align="center" valign="middle" >33.77</td></tr><tr><td align="center" valign="middle" >Rural</td><td align="center" valign="middle" >255</td><td align="center" valign="middle" >62.23</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Age group</td><td align="center" valign="middle" >≥40 years</td><td align="center" valign="middle" >103</td><td align="center" valign="middle" >26.75</td></tr><tr><td align="center" valign="middle" >&lt;40 years</td><td align="center" valign="middle" >282</td><td align="center" valign="middle" >73.25</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Life in a couple</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >368</td><td align="center" valign="middle" >95.58</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >4.42</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >School education</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >79</td><td align="center" valign="middle" >20.52</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >306</td><td align="center" valign="middle" >79.48</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Practicing an IGA</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >8.83</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >351</td><td align="center" valign="middle" >91.17</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Screening coverage among 30 to 69 year olds</td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >237</td><td align="center" valign="middle" >0.92</td></tr><tr><td align="center" valign="middle" >Urban</td><td align="center" valign="middle" >75</td><td align="center" valign="middle" >3.93</td></tr><tr><td align="center" valign="middle" >Rural</td><td align="center" valign="middle" >162</td><td align="center" valign="middle" >0.68</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Screening coverage among 18 to 69 year olds</td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >385</td><td align="center" valign="middle" >1.01</td></tr><tr><td align="center" valign="middle" >Urban</td><td align="center" valign="middle" >130</td><td align="center" valign="middle" >4.62</td></tr><tr><td align="center" valign="middle" >Rural</td><td align="center" valign="middle" >255</td><td align="center" valign="middle" >0.72</td></tr></tbody></table></table-wrap><p>compared to 0.68% in rural areas. The same applies to the proportion of women aged between 18 and 69 years screened in health facilities, which was 1.01% and also varied according to place of residence, with 4.62% in urban areas and 0.72% in rural areas (<xref ref-type="table" rid="table1">Table 1</xref>). Most half (50.13%) of the women screened had more than five children and 29.35% of them had sexually transmitted infections (STIs) on speculum examination. At the VIA/VILI test, 5.45% of the women had precancerous cervical lesions. Of the women who tested positive, 90.48% received cryotherapy and 9.52% were referred for colposcopy and further management for suspected invasive cervical cancer (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec><sec id="s3_3"><title>3.3. Associated with PCL Detection</title><p>In bivariate analysis, the factors statistically significantly associated with the presence of PCL were: age ≥40 years (OR = 7.84 (2.95 - 20.82); p &lt; 0.001) and history of STI (OR = 8.8 (3.14 - 24.7); p &lt; 0.001) (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>In multivariate analysis, the factors significantly associated with the presence of PCL were: age ≥40 years (ORa = 17.52 (4.51 - 67.14); p &lt; 0.001) and history of STI (ORa = 10.15 (3.46 - 29.85); p &lt; 0.001) (<xref ref-type="table" rid="table4">Table 4</xref>).</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of women according to medical, macroscopic after VIA/VILI and therapeutic aspects, Koumpentoum, 2020-2022</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Modalities</th><th align="center" valign="middle" >Absolutes frequencies (n)</th><th align="center" valign="middle" >Relatives frequencies (%)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Parity &gt; 5</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >193</td><td align="center" valign="middle" >50.13</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >192</td><td align="center" valign="middle" >49.87</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >History of STIs</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >113</td><td align="center" valign="middle" >29.35</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >272</td><td align="center" valign="middle" >70.65</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Precancerous cervical lesions</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >5.45</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >364</td><td align="center" valign="middle" >94.55</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Cryotherapy</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >90.48</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >9.52</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Identification of factors associated with the presence of PCLs in bivariate analysis, Koumpentoum, 2020-2022</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  rowspan="2"  >Modalities</th><th align="center" valign="middle"  colspan="2"  >Respondents n = 385</th><th align="center" valign="middle"  rowspan="2"  >p value</th><th align="center" valign="middle"  rowspan="2"  >OR</th><th align="center" valign="middle"  rowspan="2"  >IC 95%</th></tr></thead><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >No</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Screening location</td><td align="center" valign="middle" >Urban</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >123</td><td align="center" valign="middle"  rowspan="2"  >0.585</td><td align="center" valign="middle"  rowspan="2"  >0.98</td><td align="center" valign="middle"  rowspan="2"  >[0.38 - 2.49]</td></tr><tr><td align="center" valign="middle" >Rural</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >241</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Age group</td><td align="center" valign="middle" >≥40</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >88</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001</td><td align="center" valign="middle"  rowspan="2"  >7.84</td><td align="center" valign="middle"  rowspan="2"  >[2.95 - 20.82]</td></tr><tr><td align="center" valign="middle" >&lt;40</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >276</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Life in a couple</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >347</td><td align="center" valign="middle"  rowspan="2"  >0.277</td><td align="center" valign="middle"  rowspan="2"  >0.46</td><td align="center" valign="middle"  rowspan="2"  >[0.1 - 2.16]</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >17</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Practicing an IGA</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >33</td><td align="center" valign="middle"  rowspan="2"  >0.428</td><td align="center" valign="middle"  rowspan="2"  >0.5</td><td align="center" valign="middle"  rowspan="2"  >[0.06 - 3.85]</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >331</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >School education</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >73</td><td align="center" valign="middle"  rowspan="2"  >0.245</td><td align="center" valign="middle"  rowspan="2"  >1.59</td><td align="center" valign="middle"  rowspan="2"  >[0.59 - 4.25]</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >291</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Parity &gt; 5</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >171</td><td align="center" valign="middle"  rowspan="2"  >0.495</td><td align="center" valign="middle"  rowspan="2"  >1.5</td><td align="center" valign="middle"  rowspan="2"  >[0.61 - 3.87]</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >193</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >History of STIs</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >97</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001</td><td align="center" valign="middle"  rowspan="2"  >8.8</td><td align="center" valign="middle"  rowspan="2"  >[3.14 - 24.7]</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >267</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Identification of factors associated with the presence of PCLs in multivariate analysis, Koumpentoum, 2020-2022</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables and modalities</th><th align="center" valign="middle" >Adjusted OR</th><th align="center" valign="middle" >CI 95%</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Screening location yes versus no</td><td align="center" valign="middle" >1.34</td><td align="center" valign="middle" >[0.43 - 4.18]</td><td align="center" valign="middle" >0.612</td></tr><tr><td align="center" valign="middle" >Life in a couple yes versus no</td><td align="center" valign="middle" >0.384</td><td align="center" valign="middle" >[0.15 - 1.96]</td><td align="center" valign="middle" >0.962</td></tr><tr><td align="center" valign="middle" >Age ≥ 40 years yes versus no</td><td align="center" valign="middle" >17.52</td><td align="center" valign="middle" >[4.51 - 67.14]</td><td align="center" valign="middle" >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >School education yes versus no</td><td align="center" valign="middle" >1.85</td><td align="center" valign="middle" >[0.56 - 6.05]</td><td align="center" valign="middle" >0.306</td></tr><tr><td align="center" valign="middle" >Practicing an IGA yes versus no</td><td align="center" valign="middle" >0.674</td><td align="center" valign="middle" >[0.08 - 3.35]</td><td align="center" valign="middle" >0.457</td></tr><tr><td align="center" valign="middle" >Parity &gt; 5 yes versus no</td><td align="center" valign="middle" >1.3</td><td align="center" valign="middle" >[0.61 - 3.87]</td><td align="center" valign="middle" >0.4951</td></tr><tr><td align="center" valign="middle" >History of STIs yes versus no</td><td align="center" valign="middle" >10.15</td><td align="center" valign="middle" >[3.46 - 29.85]</td><td align="center" valign="middle" >p &lt; 0.001</td></tr></tbody></table></table-wrap></sec></sec><sec id="s4"><title>4. Discussion</title><sec id="s4_1"><title>4.1. Practice of Screening for Cervical Precancer</title><p>The practice of screening among women aged 30 to 69 is 0.92% in our sample with variations according to place of residence with 3.93% in urban areas against 0.68% in rural areas. Thiam found a similar proportion of 2% in K&#233;dougou [<xref ref-type="bibr" rid="scirp.121399-ref17">17</xref>]. However, higher proportions of screening were found in Kaffrine by Faye and et al. with 6.5% [<xref ref-type="bibr" rid="scirp.121399-ref18">18</xref>] and by Gu&#233;ye and et al. in Joal with 23.2% [<xref ref-type="bibr" rid="scirp.121399-ref19">19</xref>]. In Tanzania, Cunningham and al. found a screening rate of 6% (n = 576) [<xref ref-type="bibr" rid="scirp.121399-ref20">20</xref>], while Adrianampy HA et al. [<xref ref-type="bibr" rid="scirp.121399-ref21">21</xref>] found a low proportion of women screened in Fianarantsoa, Madagascar (0.47%). Overall, screening is higher in urban than in rural areas, probably due to the financial and geographical accessibility of health facilities and services.</p></sec><sec id="s4_2"><title>4.2. Frequency of Precancerous Cervical Lesions</title><p>The frequency of PCLs in our sample was 5.45%, which is in line with that found in Cameroon by Ngowa JDK and et al. with 6.4% (n = 421) [<xref ref-type="bibr" rid="scirp.121399-ref22">22</xref>], Tebeu PM and et al. with 5.1% (n = 2485) [<xref ref-type="bibr" rid="scirp.121399-ref23">23</xref>] and Ngekoum B et al. with 7.4% (n = 946) [<xref ref-type="bibr" rid="scirp.121399-ref24">24</xref>] and in Madagascar by Adrianampy HA et al. with 8.5% (n = 112) [<xref ref-type="bibr" rid="scirp.121399-ref21">21</xref>]. On the other hand, higher frequencies were observed in other African series, notably in that of Biaye B with 10.2% in Dakar (n = 899) [<xref ref-type="bibr" rid="scirp.121399-ref25">25</xref>], Makoussa D and al. in Pointe Noire with 15.36% (n = 1437) [<xref ref-type="bibr" rid="scirp.121399-ref26">26</xref>] and Keita M and et al. with 38.1% in Bamako (n = 3302) [<xref ref-type="bibr" rid="scirp.121399-ref27">27</xref>]. These differences could be explained by the experience of the provider, by the technical quality of the screening and by the different sample sizes.</p></sec><sec id="s4_3"><title>4.3. Frequency of Sexually Transmitted Infections</title><p>In our sample, the frequency of STIs was 29.35% according to the physical examination with the speculum. This frequency is clearly higher than the national average obtained by survey 11.9% [<xref ref-type="bibr" rid="scirp.121399-ref28">28</xref>], but lower than the series by Ly et al. [<xref ref-type="bibr" rid="scirp.121399-ref29">29</xref>] with 37%. This high frequency of STIs could be explained by the syndromic approach used in primary health care, which is based on algorithms. Indeed, without the need for biological evidence, the syndromic approach makes it possible to make a presumptive diagnosis of an STI and to initiate antibiotic treatment [<xref ref-type="bibr" rid="scirp.121399-ref30">30</xref>]. This also illustrates a notable lack of awareness of STI prevention in the community.</p></sec><sec id="s4_4"><title>4.4. Factors Associated with Precancerous Cervical Lesions</title><p>Factors significantly associated with the presence of PCLs were: age ≥40 years (ORa = 17.52 (4.51 - 67.14); p &lt; 0.001) and STI history (ORa = 10.15 (3.46 - 29.85); p &lt; 0.001). These results are consistent with the scientific literature. Indeed, the persistence of HPV infection is an almost indispensable condition in the genesis of precancerous cervical lesions [<xref ref-type="bibr" rid="scirp.121399-ref30">30</xref>].</p><p>We did not find any link between parity and the presence of PCLs (ORa = 0.16 (0.13 - 1.3); p = 0.427), contrary to the scientific literature where trauma to the cervix during childbirth is considered to be a risk factor for cervical cancer [<xref ref-type="bibr" rid="scirp.121399-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.121399-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.121399-ref33">33</xref>]. Indeed, if chronic HPV infection is considered as an essential element in the genesis of PCL, there are many promoter factors necessary for the persistence or even the evolution of cellular abnormalities, notably the precocity of sexual intercourse before 18 years due to the immaturity of the squamocolumnar junction (SCJ), multiple sexual partners, age of the first child multi parity due to the numerous traumas of the cervix during childbirth, poor genital hygiene, immunodeficiency due to HIV or immunosuppressants, smoking, co-infection with HIV, co-infection with another STI, in this case herpes simplex virus and chlamydia trachomatis, prolonged use of oral contraceptives, illiteracy and the low socio-economic level of women [<xref ref-type="bibr" rid="scirp.121399-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.121399-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.121399-ref33">33</xref>].</p></sec><sec id="s4_5"><title>4.5. Study Limitations</title><p>Database was originally designed for administrative purposes only and did not include all relevant elements, including all risk factors for cervical cancers. This was a limitation in the comprehensive identification of factors associated with the presence of LPC.</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>The prevention of cervical cancer is essentially based on vaccination of young girls against HPV, and early detection and treatment of precancerous cervical lesions in sexually active women. The factors associated with the frequency of precancerous cervical lesions in the Koumpentoum health district are: age ≥40 and history of sexually transmitted infections. Cervical cancer prevention in the district could be significantly improved by systematic screening and treatment of sexually transmitted infections and the introduction of HPV testing.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We would like to thank the providers and community agents of the Koumpentoum health district as well as all the women who agreed to participate in this study.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest.</p></sec><sec id="s8"><title>Cite this paper</title><p>Diop, E.H.C.A., Ndiaye, A.A. and Bop, M.C. (2022) Study of Precancerous Cervical Lesions and Associated Factors among Women Aged between 18 and 65 Years in Koumpentoum (Senegal). 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