<?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">OJOG</journal-id><journal-title-group><journal-title>Open Journal of Obstetrics and Gynecology</journal-title></journal-title-group><issn pub-type="epub">2160-8792</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojog.2022.1211104</article-id><article-id pub-id-type="publisher-id">OJOG-121394</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  An Overview of Adolescent Pregnancy in Yaound&#233;, Cameroon
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Christiane</surname><given-names>Jivir Fomu Nsahlai</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Claude-Audrey</surname><given-names>Meguieze</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>Fatimatouz</surname><given-names>Zahra’ou</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Esther</surname><given-names>Ngo Um Meka</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Eric</surname><given-names>Nseme Etouckey</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Marie</surname><given-names>Therese Abena Obama</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Obstetrics and Gynecology, Essos Hospital Centre, Yaoundé, Cameroon</addr-line></aff><aff id="aff4"><addr-line>Department of Obstetrics and Gynecologist, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon</addr-line></aff><aff id="aff3"><addr-line>Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon</addr-line></aff><aff id="aff2"><addr-line>Department of Pediatrics, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon</addr-line></aff><pub-date pub-type="epub"><day>04</day><month>11</month><year>2022</year></pub-date><volume>12</volume><issue>11</issue><fpage>1191</fpage><lpage>1201</lpage><history><date date-type="received"><day>27,</day>	<month>October</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>
 
 
  Background:
   Adolescent pregnancy is high risk and every area should have data specific to it. We here attempted to determine the characteristics of adolescent pregnancy in Cameroon, with special reference to antenatal care (ANC).<b> Materials and Methods:</b> The present cross-sectional descriptive study was carried out in four secondary level hospitals in Yaounde, Cameroon from March to May 2022. Our study included adolescent pregnant females between ages 10 and 19 who received prenatal/post-partum care at these facilities. <b>Results:</b> We studied 101 adolescent pregnant females (pregnant or post-partum). The mean age was 17.6 &#177; 1.3 years. Most of them were single, Christian, had a secondary level of education, lived in a two-parent home and were from the Central region. ANC was provided by midwives for most of them
   
  but prenatal work-up was not done most of the time. Overall quality of ANC was considered poor.<b> Conclusions:</b> Adolescent pregnant females were mainly high-school students and lived at home with both parents. ANC quality was considered poor. These data may be important to improve reproductive health care and may be generalizable to some extent.
 
</p></abstract><kwd-group><kwd>Adolescent</kwd><kwd> Antenatal Care</kwd><kwd> Yaound&#233;</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>According to the United Nations Children’s Fund (UNICEF) the global adolescent birth rate from 2015-2020 was about 44 births per 1000 girls aged 15 to 19. This figure peaks in regions in sub-Saharan Africa. For example, West and Central Africa, had the highest regional adolescent birth rate at 115 births per 1000 girls aged 15 to 19. The 2018 Demographic and Health Survey (DHS) in Cameroon showed that adolescent girls contribute nearly 19% to fertility. Furthermore, 24% of these adolescent girls aged 15 to 19 had already begun their reproductive life [<xref ref-type="bibr" rid="scirp.121394-ref1">1</xref>]. Egbe et al., revealed a prevalence of adolescence pregnancy of 13.3% in the Buea Health District of the Southwest Region of Cameroon [<xref ref-type="bibr" rid="scirp.121394-ref2">2</xref>].</p><p>Antenatal care (ANC) is crucial for protecting the health of women/girls and their unborn children. During ANCs skilled health personnel educate women about healthy behaviors during pregnancy, discuss warning signs and childbirth, and enable women to receive social, emotional, and psychological support at this critical time in their lives. However, according to UNICEF the lowest levels of antenatal care are observed in sub-Saharan Africa and South Asia. This observation will no doubt impact the pregnant adolescent. Furthermore, because adolescents’ rights are often neglected, pregnancy and motherhood frequently cause adolescent girls to give up their right to education resulting in an educational disadvantage [<xref ref-type="bibr" rid="scirp.121394-ref3">3</xref>].</p><p>In this study we sought to describe: 1-ANC characteristics in adolescents and 2-the educational status of pregnant adolescent girls in Yaound&#233;, Cameroon.</p></sec><sec id="s2"><title>2. Methods</title><sec id="s2_1"><title>2.1. Study Design</title><p>This was a cross-sectional descriptive study.</p></sec><sec id="s2_2"><title>2.2. Study Area</title><p>Yaound&#233; is the capital and second largest city in Cameroon. It covers a total surface area of 304 km<sup>2</sup>. In 2019, its estimated population was 4,100,000 with 13 487 inhabitants/km<sup>2</sup>.</p></sec><sec id="s2_3"><title>2.3. Study Setting</title><p>The study was carried out in four the district hospitals across Yaound&#233;. District hospitals are secondary health facilities offering services in obstetrics and gynecology provided by obstetricians and gynecologists, midwives, and other reproductive health personnel.</p><p>We conducted a descriptive cross-sectional study with data collection from March to May 2022 at four secondary care facilities in Yaound&#233;: the district hospitals of Djoungolo, Cit&#233;-Verte, Biyem-Assi and Efoulan.</p><p>Our inclusion criteria were adolescent females (between ages 10 to 19) in the city of Yaound&#233; who received antenatal care or gave birth in the District Hospitals mentioned above during the data collection period; who were previously enrolled in school; and from whom we obtained a signed informed consent.</p><p>We excluded adolescent mothers who decided to withdraw from the study.</p><p>Our sampling was consecutive, non-exhaustive and non-probabilistic.</p><p>The minimum sample size was calculated based on the following formula applicable to descriptive studies:</p><p>N = Z 2 &#215; P &#215; ( 1 − P ) / m 2</p><p>where</p><p>N = required sample size;</p><p>Z = 95% confidence level (typical value of 1.96);</p><p>P = Prevalence of adolescent deliveries at the Maroua Regional Hospital, i.e., 26.4% [<xref ref-type="bibr" rid="scirp.121394-ref4">4</xref>];</p><p>m = 10% margin of error (typical value 0.10).</p><p>Our minimal sample size was calculated as follows: N = 1.962 &#215; 0.19 &#215; (1 − 0.19)/0.102 = 74.6 or 75 adolescent mothers.</p></sec><sec id="s2_4"><title>2.4. Procedure</title><p>After administrative and ethical clearance, we identified potential candidates during routine ANC and maternity ward rounds. Adolescents meeting our inclusion criteria were approached and included in our study after obtaining their signed informed consent. We used a questionnaire pre-designed by our authors that included the following sociodemographic variables: age; educational level; type of educational establishment attended (secondary or other); marital status (unmarried, cohabiting, married); region of origin and religion; details on pregnancy follow-up including the following: gestational age at time of the survey; sources of financing for ANC; number of ANC contacts; gestational age at onset of ANC; qualification of the ANC practitioner (obstetrician-gynecologist, midwife), prophylaxes received: antimalarial (number of intermittent presumptive treatment = IPT), anti-anemia and anti-tetanus vaccine (number of doses of tetanus vaccine (VAT) received); infectious workup (hepatitis B, HIV, Syphilis, Rubella and Toxoplasmosis); number of ultrasounds done and pathologies during pregnancy.</p></sec><sec id="s2_5"><title>2.5. Statistical Analysis</title><p>Data collected were analyzed using SPSS version 23.0 software. Categorical variables were expressed as counts and proportions. Quantitative variables were expressed using the mean depending on whether the variables followed a normal Gaussian distribution.</p></sec><sec id="s2_6"><title>2.6. Ethical Considerations</title><p>We received a written and signed informed consent from all study subjects. We also obtained ethical clearance and research authorization from all institutions involved.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Sociodemographic Characteristics</title><p>Age, marital status, region of origin, religion, and family typology.</p><p>The mean age was 17.6 &#177; 1.3 years, with extremes of 14 and 19 years. Majority of the girls were aged 18 years (32.7%), single (79.2%), originated from the Center region (42.6%) and Christian (77.2%) (<xref ref-type="table" rid="table1">Table 1</xref>).</p><p><xref ref-type="fig" rid="fig1">Figure 1</xref> shows different family typologies of adolescent mothers. They lived in two-parent, single parent, blended families, alone or with author of pregnancy. Most girls with in two-parent homes (62/101).</p></sec><sec id="s3_2"><title>3.2. Type of Educational Establishment Attended by the Study Population</title><p>Most of the adolescent girls attended public institutions i.e., 62.4% of cases. Secondary education was most represented (96.0%), and most were from the French-speaking section (80.2%). Most were in lower sixth (1<sup>st</sup> year of high school) i.e., 40.6% of cases (<xref ref-type="table" rid="table2">Table 2</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of the population according to age, marital status, region of origin and religion</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Numbers (N = 101)</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Age (in years) 14</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.0</td></tr><tr><td align="center" valign="middle" >15</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >8.9</td></tr><tr><td align="center" valign="middle" >16</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >9.9</td></tr><tr><td align="center" valign="middle" >17</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >20.8</td></tr><tr><td align="center" valign="middle" >18</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >32.7</td></tr><tr><td align="center" valign="middle" >19</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >26.7</td></tr><tr><td align="center" valign="middle" >Marital status Single</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >79.2</td></tr><tr><td align="center" valign="middle" >Cohabitation</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >11.9</td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >8.9</td></tr><tr><td align="center" valign="middle" >Region of origin Center</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >42.6</td></tr><tr><td align="center" valign="middle" >West</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >11.8</td></tr><tr><td align="center" valign="middle" >South</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >10.9</td></tr><tr><td align="center" valign="middle" >Far North</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >9.9</td></tr><tr><td align="center" valign="middle" >East</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >6.9</td></tr><tr><td align="center" valign="middle" >Littoral</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >6.9</td></tr><tr><td align="center" valign="middle" >Adamawa</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5.0</td></tr><tr><td align="center" valign="middle" >North</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >4.0</td></tr><tr><td align="center" valign="middle" >Northwest</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.0</td></tr><tr><td align="center" valign="middle" >Religion Christian</td><td align="center" valign="middle" >78</td><td align="center" valign="middle" >77.2</td></tr><tr><td align="center" valign="middle" >Muslim</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >19.8</td></tr><tr><td align="center" valign="middle" >Animist</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.0</td></tr><tr><td align="center" valign="middle" >Atheist</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.0</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution based on type of school attended</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Numbers (N = 101)</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Type of institution attended Public</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >62.4</td></tr><tr><td align="center" valign="middle" >Secular private</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >32.6</td></tr><tr><td align="center" valign="middle" >Denominational private</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5.0</td></tr><tr><td align="center" valign="middle" >Type of secondary education General education</td><td align="center" valign="middle" >97</td><td align="center" valign="middle" >96.0</td></tr><tr><td align="center" valign="middle" >Vocational education</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >4.0</td></tr><tr><td align="center" valign="middle" >Section French-speaking</td><td align="center" valign="middle" >81</td><td align="center" valign="middle" >80.2</td></tr><tr><td align="center" valign="middle" >Anglophone</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >10.9</td></tr><tr><td align="center" valign="middle" >Bilingue</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >8.9</td></tr><tr><td align="center" valign="middle" >Classe fr&#233;quent&#233;e Terminale</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >13.9</td></tr><tr><td align="center" valign="middle" >Premi&#232;re</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >40.6</td></tr><tr><td align="center" valign="middle" >Seconde</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >27.7</td></tr><tr><td align="center" valign="middle" >3 &#232;me</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >15.8</td></tr><tr><td align="center" valign="middle" >4 &#232;me</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.0</td></tr></tbody></table></table-wrap></sec><sec id="s3_3"><title>3.3. Details of ANCs</title><sec id="s3_3_1"><title>3.3.1. Status during Study Period</title><p>Most of the adolescent mothers were pregnant during the study, i.e., 91.1% of cases versus 8.9% who delivered at a gestational age ≥ 37 weeks. The mean gestational age at the time of the survey was 29.6 &#177; 6.4 weeks, and abortions and deliveries occurred between 18 and 40 weeks, respectively (<xref ref-type="table" rid="table3">Table 3</xref>).</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution of girls according to status (pregnant or delivered) and gestational age at the time of abortion or delivery</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Numbers (N = 101)</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Status Pregnant</td><td align="center" valign="middle" >92</td><td align="center" valign="middle" >91.1</td></tr><tr><td align="center" valign="middle" >Post-partum</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >8.9</td></tr><tr><td align="center" valign="middle" >Gestational age (weeks) 18 - 20</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >10.9</td></tr><tr><td align="center" valign="middle" >21 - 24</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >14.9</td></tr><tr><td align="center" valign="middle" >25 - 27</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >5.9</td></tr><tr><td align="center" valign="middle" >28 - 31</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >26.7</td></tr><tr><td align="center" valign="middle" >32 - 36</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >22.8</td></tr><tr><td align="center" valign="middle" >≥37</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >18.8</td></tr></tbody></table></table-wrap></sec><sec id="s3_3_2"><title>3.3.2. Quality of ANCs</title><p>&#183; Burden of ANC costs</p><p>The author of the pregnancy financed ANC in most cases (59.4% ) (<xref ref-type="table" rid="table4">Table 4</xref>).</p><p>&#183; Characteristics of ANC attendance</p><p>Most had 2 ANCs, i.e., 46.5%. The mean number of ANCs attended was 2.6 &#177; 0.9, with extremes of 1 to 6 ANCs. The average gestational age at first ANC was 13.1 &#177; 5.5 weeks gestation, with extremes being 6- and 34-week gestation. Most attended their first ANC at ≤ 12 weeks gestation, i.e., 58.4%. Female and male midwives were the most cited as ANC providers (67.3%) (<xref ref-type="table" rid="table5">Table 5</xref>).</p><p>&#183; Preventive measures during ANC</p><p>The frequency of anti-anemic use, mechanical anti-malarial measures (use insecticide impregnated bed nets), and anti-tetanus prophylaxis was 93.1%, 88.1% and 67.3%, respectively. We also investigated intermittent presumptive treatment (IPT) for malaria in pregnancy. Most girls received two doses of IPT (39.6%), the average being 1.8 &#177; 0.9 IPT received, with extremes of 0 and 4 doses of IPT received (<xref ref-type="table" rid="table6">Table 6</xref>).</p><p>&#183; Infectious workup</p><p>Only 9.9% of adolescent mothers had completely carried out infectious assessments prescribed at ANC. The main labs done were HIV screening tests (92.1%), toxoplasmosis (62.4%) and chlamydia (55.4%) (<xref ref-type="table" rid="table7">Table 7</xref>).</p><p>&#183; Obstetrical ultrasound scans done</p><p>Most of the adolescent mothers had done only one obstetric ultrasound (66.3%). The average number of ultrasounds done was 1.3 &#177; 0.6, with extremes of 0 to 3 ultrasound scans (<xref ref-type="table" rid="table8">Table 8</xref>).</p><p>&#183; Pathologies in pregnancy</p><p>The frequency of pathologies in pregnancy was 15.8%. Malaria was most common (12.9%). The others found (urinary tract and cervical infections) were treated prior to our study (<xref ref-type="table" rid="table9">Table 9</xref>).</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Distribution of girls according to source of financing for ANC (N = 101)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Source of financing for ANCs</th><th align="center" valign="middle" >Numbers (N = 101)</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Pregnancy author</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >59.4</td></tr><tr><td align="center" valign="middle" >Family</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >34.7</td></tr><tr><td align="center" valign="middle" >Family/pregnancy author</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >5.9</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Characteristics of ANC attendance</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Numbers (N = 101)</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Number of ANCs attended</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5.0</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >46.5</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >31.7</td></tr><tr><td align="center" valign="middle" >4</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >13.9</td></tr><tr><td align="center" valign="middle" >5</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.0</td></tr><tr><td align="center" valign="middle" >6</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.0</td></tr><tr><td align="center" valign="middle" >Gestational age at 1<sup>st</sup> ANC ≤12</td><td align="center" valign="middle" >59</td><td align="center" valign="middle" >58.4</td></tr><tr><td align="center" valign="middle" >13 - 16</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >18.8</td></tr><tr><td align="center" valign="middle" >17 - 24</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >18.8</td></tr><tr><td align="center" valign="middle" >25 - 27</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.0</td></tr><tr><td align="center" valign="middle" >≥28</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.0</td></tr><tr><td align="center" valign="middle" >Qualification of ANC provider Female or male midwife</td><td align="center" valign="middle" >68</td><td align="center" valign="middle" >67.3</td></tr><tr><td align="center" valign="middle" >Obstetrician/gynecologist</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >32.7</td></tr></tbody></table></table-wrap><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Characteristics of ANC attendance</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Prophylaxis</th><th align="center" valign="middle" >Numbers (N = 101)</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Anti-anemia</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >93.1</td></tr><tr><td align="center" valign="middle" >Use of insecticide impregnated bed nets</td><td align="center" valign="middle" >89</td><td align="center" valign="middle" >88.1</td></tr><tr><td align="center" valign="middle" >Anti-tetanus vaccination</td><td align="center" valign="middle" >68</td><td align="center" valign="middle" >67,3</td></tr><tr><td align="center" valign="middle" >Intermittent presumptive treatment 0</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5.0</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >35.6</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >39.6</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >13.9</td></tr><tr><td align="center" valign="middle" >4</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >5.9</td></tr></tbody></table></table-wrap><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Distribution according to infectious workup carried out</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Numbers (N = 101)</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Infectious workup done Complete</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >9.9</td></tr><tr><td align="center" valign="middle" >Partial</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >83.2</td></tr><tr><td align="center" valign="middle" >None</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >6.9</td></tr><tr><td align="center" valign="middle" >Type of workup HIV serology</td><td align="center" valign="middle" >93</td><td align="center" valign="middle" >92.1</td></tr><tr><td align="center" valign="middle" >Toxoplasmosis</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >62.4</td></tr><tr><td align="center" valign="middle" >Chlamydia</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >55.4</td></tr><tr><td align="center" valign="middle" >Hepatitis B</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >30.7</td></tr><tr><td align="center" valign="middle" >Rubella</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >18.8</td></tr></tbody></table></table-wrap><table-wrap id="table8" ><label><xref ref-type="table" rid="table8">Table 8</xref></label><caption><title> Distribution based on number of obstetric ultrasounds done</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Number of ultrasounds</th><th align="center" valign="middle" >Numbers (N = 101)</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >0</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >5.9</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >67</td><td align="center" valign="middle" >66.3</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >24.8</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3.0</td></tr></tbody></table></table-wrap><table-wrap id="table9" ><label><xref ref-type="table" rid="table9">Table 9</xref></label><caption><title> Distribution based on pathologies in pregnancy</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Numbers (N = 101)</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Pathologies in pregnancy Yes</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >15.8</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >84.2</td></tr><tr><td align="center" valign="middle" >Types of pathologies noted Malaria</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >12.9</td></tr><tr><td align="center" valign="middle" >Urinary tract infection</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.0</td></tr><tr><td align="center" valign="middle" >Cervical infection</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.0</td></tr></tbody></table></table-wrap><p>&#183; Quality of ANCs received</p><p><xref ref-type="fig" rid="fig2">Figure 2</xref> shows that the quality of ANC the adolescent mothers received. In 83% and 18% cases the quality was poor and good, respectively.</p></sec></sec></sec><sec id="s4"><title>4. Discussion</title><p>In our study, the average age of adolescent mothers was 17.6 &#177; 1.3 years, with youngest and oldest being 14 and 19 years old, respectively. Majority of our study subjects were in the 17 to 19 years age range, giving a cumulative percentage of 80.2% with a preponderance of 18-year-olds (32.7%). Our results are</p><p>consistent with those of Tebeu et al. in 2002 and 2006 in Yaound&#233; and Maroua, respectively, which showed a predominance of adolescent mothers ages 17 to 19 years at 60% and 71%, respectively [<xref ref-type="bibr" rid="scirp.121394-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.121394-ref5">5</xref>]. The majority of adolescent mothers over 15 compared to those under 15 is explained by the fact that reproductive life increases with age, from 4% at 15% to 49% at 19 [<xref ref-type="bibr" rid="scirp.121394-ref6">6</xref>]. Similarly, Luhete et al. in Congo in 2017 found an average age similar to ours of 17.6 &#177; 1.2 years [<xref ref-type="bibr" rid="scirp.121394-ref7">7</xref>].</p><p>Most adolescents in our study were single (79.2%). Our results differ from those of Tebeu et al. in Maroua and those of Luhete et al. in the Congo who found a preponderance of married adolescent mothers [<xref ref-type="bibr" rid="scirp.121394-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.121394-ref7">7</xref>]. This difference could be explained by the fact that the study by Tebeu et al. was conducted in a Muslim community where early marriage is encouraged. The Congolese study carried out in the town of Lubumbashi reported that schooling for young girls was half as frequent as for boys, which tended to encourage teenage marriages.</p><p>Most females in our study were from the Center region (42.6%). This could be explained by the fact that our study was conducted in the Center region. The ethnic groups of this region have more liberal views on sexual practices, and premarital pregnancy regardless of age is frequently perceived as proof of the girl’s fecundability [<xref ref-type="bibr" rid="scirp.121394-ref8">8</xref>].</p><p>Most of our subjects lived in a two-parent home (62/101). Our results were corroborated by those of the 2018 demographic health survey (DHS) in Cameroon, which found that 60% of adolescents live with both parents [<xref ref-type="bibr" rid="scirp.121394-ref1">1</xref>]. Most studied in public establishments (62.4%) of general education (96.0%). In Cameroon Tsala reported that general secondary education represented 63.7% of all educational establishments [<xref ref-type="bibr" rid="scirp.121394-ref9">9</xref>], which could explain our results. Public establishments are cheaper, therefore more affordable compared to private establishments, thereby explaining the preponderance of the public sector education in our study. Most adolescents in our study were in lower sixth (high school) (40.6%). We reported a mean age of 17 years. The corresponding age to class in Cameroon, as in many countries, would be between 16 and 17 years [<xref ref-type="bibr" rid="scirp.121394-ref10">10</xref>].</p><p>Early ANC attendance by adolescents was at 58.4%. This figure exceeds those of 2018 DHS for Cameroon which cites early ANC attendance at 41% [<xref ref-type="bibr" rid="scirp.121394-ref11">11</xref>]. This could be because the adolescents lived at home and as such could depend on financial support from parents. However, ANC attendance was financed mainly by the author of the pregnancy (59.4%). Midwives were the most represented antenatal care providers (67.3%) probably because it costs more to consult obstetricians/gynecologists. We noted pathologies in pregnancy in 15.8% of cases, predominantly malaria (81.3%). This could be explained by the fact that Cameroon is in an endemic zone for malaria, and the prevalence of the disease is still elevated despite the use of preventive measures. The quality of ANCs received was poor in most cases (82.2%). This could be explained by the fact that our patients were secondary school students without income. To attend ANCs, they would have to be absent from classes and this would not always be feasible. In addition, the partial or total lack of laboratory examinations noted (83.2%) testifies to limited financial resources, hence the poor quality of the ANCs observed in these mothers.</p></sec><sec id="s5"><title>5. Study Limitations</title><p>- The insufficient number of women giving birth and not returning for postnatal care did not allow us to assess the late outcomes.</p><p>- The lack of socioeconomic information of the family and parents.</p></sec><sec id="s6"><title>6. Conclusion</title><p>Teenage mothers are likely to be in their late teen years. They most often live in two-parent homes. ANC attendance is relatively low, and incomplete of prenatal workup is common likely due to financial constraints. Malaria is the most common pathology in pregnancy which is likely a reflection of endemicity.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Nsahlai, C.J.F., Meguieze, C.-A., Zahra’ou, F., Meka, E.N.U., Etouckey, E.N. and Obama, M.T.A. (2022) An Overview of Adolescent Pregnancy in Yaound&#233;, Cameroon. Open Journal of Obstetrics and Gynecology, 12, 1191-1201. https://doi.org/10.4236/ojog.2022.1211104</p></sec></body><back><ref-list><title>References</title><ref id="scirp.121394-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Institut National de la Statistique (INS) et ICF (2020) Enquête Démographique et de Santé du Cameroun 2018. 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