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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Pastor. Res. Policy Pract.</journal-id>
<journal-title>Pastoralism: Research, Policy and Practice</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Pastor. Res. Policy Pract.</abbrev-journal-title>
<issn pub-type="epub">2041-7136</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">13311</article-id>
<article-id pub-id-type="doi">10.3389/past.2024.13311</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Science archive</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Clinical and laboratory antenatal profile screening and its associate factors among pastoralist women in Northern Part of Kenya</article-title>
<alt-title alt-title-type="left-running-head">Galgalo et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/past.2024.13311">10.3389/past.2024.13311</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Galgalo</surname>
<given-names>Dahabo Adi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2308572/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Evans Kasmai</surname>
<given-names>Kiptulon</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2880352/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kov&#xe1;cs</surname>
<given-names>K&#xe1;lm&#xe1;n Andr&#xe1;s</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2890616/overview"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Pr&#xe9;musz</surname>
<given-names>Vikt&#xf3;ria</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1936399/overview"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>V&#xe1;rnagy</surname>
<given-names>&#xc1;kos</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2890595/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Doctoral School of Health Science</institution>, <institution>Faculty of Health Science</institution>, <institution>University of P&#xe9;cs</institution>, <addr-line>P&#xe9;cs</addr-line>, <country>Hungary</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Health</institution>, <addr-line>Marsabit</addr-line>, <country>Kenya</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>National Laboratory on Human Reproduction</institution>, <institution>University of P&#xe9;cs</institution>, <addr-line>P&#xe9;cs</addr-line>, <country>Hungary</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Obstetrics and Gynaecology</institution>, <institution>Medical School</institution>, <institution>University of P&#xe9;cs</institution>, <addr-line>P&#xe9;cs</addr-line>, <country>Hungary</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>HUN-REN-PTE Human Reproduction Scientific Research Group</institution>, <addr-line>P&#xe9;cs</addr-line>, <country>Hungary</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Institute of Physiotherapy and Sport Sciences</institution>, <institution>Faculty of Health Sciences</institution>, <institution>University of P&#xe9;cs</institution>, <addr-line>P&#xe9;cs</addr-line>, <country>Hungary</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/783840/overview">Carol Kerven</ext-link>, University College London, United Kingdom</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Dahabo Adi Galgalo, <email>bwqi8p@pte.hu</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work and share last authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>11</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>14</volume>
<elocation-id>13311</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>05</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>10</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Galgalo, Evans Kasmai, Kov&#xe1;cs, Pr&#xe9;musz and V&#xe1;rnagy.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Galgalo, Evans Kasmai, Kov&#xe1;cs, Pr&#xe9;musz and V&#xe1;rnagy</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>All pregnant women are encouraged to visit Antenatal Care (ANC) during pregnancy to ensure their wellbeing and that of their unborn baby. World Health Organization (WHO) recommends that all pregnant women attend antenatal clinics for care at least eight times during pregnancy. During antenatal care a series of essential tests are done for pregnant women, both clinical examination and laboratory screenings to detect potential issues which will guide clinicians on management. This study aims to investigate the clinical examination and laboratory screening profile results of pastoralist pregnant women and its associated factors during their first ANC visit in Marsabit County, Kenya.</p>
</sec>
<sec>
<title>Methods</title>
<p>A cross-sectional study was conducted among pregnant women who attended Integrated Maternal Mobile (IMMH) outreach clinics for ANC in 10 mobile pastoralist communities. Data were collected on demographic information, clinical examination information, and laboratory profile screening outcomes. Frequency and percentages were used to describe the categorical variables and means and standard deviations were used to describe the continuous variables. Bivariate and multivariate analysis was conducted using IBM SPPS 27.0 following STROBE guidelines. The level of significance was set at p &#x3c; 0.05.</p>
</sec>
<sec>
<title>Results</title>
<p>Data (N &#x3d; 237) were extracted, the mean age was 26.62 &#xb1; 5.371, of which the majority were in the age group of 20&#x2013;29, 212 (89.5%) were married 180 (75.9%) and multigravida, 27 (11.4%) visited ANC and 121 (51.1%) traveling more than 15&#xa0;km to seek healthcare services. The mean weight was 55.56 &#xb1; 9.019&#xa0;kg, mean blood pressure systolic was 118.94 &#xb1; 19.95&#xa0;mmHg, and diastolic was 73.87 &#xb1; 13.46&#xa0;mmHg. Out of all specimens processed and tested, 135 (57%) were anaemic with Hgb &#x3c;11.5&#xa0;g/dL), 6 (2.5%) had malaria, 8 (3.4%) were hepatitis B positive, and 21 (8.9%) showed intestinal infection. Those women who are illiterate displayed a 12-fold higher likelihood of becoming anaemic during pregnancy (OR 11.50, 95% CI: 2.47&#x2013;53.47), and those who didn&#x2019;t attend ANC also have a 5-fold higher likelihood of being anaemic (OR 5.43, 95% CI: 2.52&#x2013;11.70).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Anaemia, hepatitis B, syphilis, malaria parasites, intestinal parasites, and urinary tract infections were observed among the study participants. Integrated outreach programs with laboratory screening and health education should be enhanced, and women within pastoralist communities should be empowered through health education.</p>
</sec>
</abstract>
<kwd-group>
<kwd>laboratory screening</kwd>
<kwd>clinical information</kwd>
<kwd>anaemia</kwd>
<kwd>antenatal care</kwd>
<kwd>pastoralist</kwd>
</kwd-group>
<contract-num rid="cn002">&#xda;NKP-23-4-II-PTE-2061</contract-num>
<contract-sponsor id="cn001">Grand Challenges in Global Health<named-content content-type="fundref-id">10.13039/100021914</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Nemzeti Kutat&#xe1;si Fejleszt&#xe9;si &#xe9;s Innov&#xe1;ci&#xf3;s Hivatal<named-content content-type="fundref-id">10.13039/501100011019</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Maternal, New-born, and Child Health (MNCH) indicator improvement is one of the Sustainable Development Goals (SDGs) agenda, where the main aim is to reduce the global burden of maternal, new-born, and child mortality (<xref ref-type="bibr" rid="B32">Knbs, 2023</xref>; <xref ref-type="bibr" rid="B55">World Health Organization, 2018</xref>). Despite international efforts and progress, maternal deaths are still high, of which almost 800 pregnant women die annually from pregnancy-related complications worldwide, and over 90% of those deaths are experienced in Asia and Sub-Saharan African regions (<xref ref-type="bibr" rid="B31">Khalil et al., 2023</xref>). Maternal mortality rates in Kenya have decreased from 362/100,000 live births in 2014 to 355/100,00 live births in 2022, which is still high compared to global incidence rates (<xref ref-type="bibr" rid="B32">Knbs, 2023</xref>). In most developing countries the direct causes of maternal mortality include; postpartum hemorrhage, hypertensive disorders, infections, obstructed labour, unsafe abortion, and ruptured uterus (<xref ref-type="bibr" rid="B10">Bhandari and Dangal, 2014</xref>), which contribute to almost 78% of all deaths while remaining are caused by indirect causes like anaemia, diabetes, malaria, tuberculosis and Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome (HIV/AIDS) (<xref ref-type="bibr" rid="B22">Girum and Wasie, 2017</xref>). Most causes of these deaths are conditions that can be prevented if proper screening is given during antenatal and postnatal care (<xref ref-type="bibr" rid="B48">Say et al., 2014</xref>).</p>
<p>The 2016 WHO Antenatal Care model aims to provide at least eight ANC contacts to all pregnant women. The primary contact occurs in the first trimester, the second and third contacts in the second trimester, and the remaining five contacts in the third trimester (<xref ref-type="bibr" rid="B54">World Health Organization, 2016</xref>). The first-trimester contact is very important for assessing the women&#x2019;s health by identifying risk factors and establishing a baseline for subsequent care (<xref ref-type="bibr" rid="B52">Tun&#xe7;alp et al., 2017</xref>). Some of the antenatal profiles that should be done during the first trimester as indicated in the Mother and Child Health booklet by the Ministry of Health (MOH)-Kenya (<xref ref-type="bibr" rid="B37">Mudany et al., 2015</xref>) include; hemoglobin level, blood grouping, and rhesus factors, urinalysis, random blood sugar (RBS), syphilis, hepatitis B, HIV counselling and testing, and Mycobacteria Tuberculosis (TBC) screening.</p>
<p>Despite efforts made by the Kenyan government to enhance MNCH in North Eastern counties, Marsabit County still has low MNCH indicators (<xref ref-type="bibr" rid="B29">Keats et al., 2017</xref>). The county has four major sub-counties namely: North Horr, Moyale, Saku, and Laisamis, The proportion of pastoralists within the county is 81%, with the majority residing in Moyale Sub-County. It is the largest, most arid area, with the majority of the population being pastoralists, and the least developed county in Kenya. According to the 2022 Kenya Demographic Health Survey (KDHIS 2022), Marsabit County had 67% ANC coverage, 59.3% health facility deliveries, 41% postpartum check-ups, and 62% of women aged 15&#x2013;49 have no formal education (<xref ref-type="bibr" rid="B32">Knbs, 2023</xref>). At the county level, most of the health facilities that provide ANC services concentrate in the county and sub-county hospitals, of which only a few provide ANC services. Dispensaries and clinics have no laboratories but provide ANC consultation (<xref ref-type="bibr" rid="B38">Muga et al., 2005</xref>). WHO recommended that all pregnant women should be referred to a laboratory for the complete set of ANC screening tests during the first ANC visit (<xref ref-type="bibr" rid="B1">Abalos et al., 2016</xref>). During pregnancy, a woman&#x2019;s body undergoes significant changes and monitoring is very important for early intervention (<xref ref-type="bibr" rid="B8">Azab et al., 2020</xref>). Marsabit County, being one of the vast counties in Kenya, has very few medical laboratories for testing, and also almost 80% of the residents are pastoralists; therefore, few pregnant women have access to healthcare facilities for testing.</p>
<p>Clinical examination and laboratory screening during antenatal visits are considered timely to prevent, identify, and correct the abnormalities that might affect the mother and foetus. The findings guide the clinicians in treating existing diseases or others that may occur during pregnancy leading to early intervention and treatment (<xref ref-type="bibr" rid="B7">Anversa et al., 2012</xref>; <xref ref-type="bibr" rid="B26">Habte et al., 2024</xref>). Inadequate care during pregnancy breaks a critical link in the continuum of care and affects both women and the foetus (<xref ref-type="bibr" rid="B4">Ahmed and Mohamed, 2018</xref>). Some of the risk factors like anaemia, high blood pressure, diabetes, undiagnosed infections, and other pre-existing health conditions frequently complicate pregnancy (<xref ref-type="bibr" rid="B25">Gupton et al., 2001</xref>). No research has been done in Marsabit County to understand pastoralist pregnant women&#x2019;s clinical examination and laboratory antenatal screening. Therefore, this cross-sectional study aims to describe the clinical and laboratory presentation of pastoralist pregnant women during the first antenatal visit, which includes the prevalence of hypertension, urinary tract infection, anaemia, syphilis, intestinal parasite infection, hepatitis infections, and any demographic-associated factors.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<p>The study population was pastoralist pregnant women attending the Integrated Maternal Mobile Health (IMMH) outreach clinic in Moyale Sub-County, Marsabit County, Kenya. The IMMH project provides health services to pregnant pastoralist women through a health outreach program. The study was done in ten mobile/pastoralist communities, which include, Chirach, El-raya, Er-wede, Funandimo, Laqi, Mansile Water Point, Qalaliwe, Qilta, Tesso, and Yaballo Godha.</p>
<sec id="s2-1">
<title>Study design</title>
<p>A cross-sectional study of pregnant women attending IMMH outreach clinics was conducted from November to December 2021.</p>
</sec>
<sec id="s2-2">
<title>Data collection and definitions</title>
<p>Data on demographic, clinical, and laboratory information were extracted from the main Integrated Maternal Mobile Health (IMMH) register during the outreach program. Demographic information includes the village, age, marital status, literacy level, marital practice (monogamy or polygamy), possession of a mobile phone, distance from the health facility, antenatal clinic visit, gravidae, and clinical information such as weight and blood pressure were collected. Laboratory information includes haemoglobin level, blood grouping, hepatitis B surface antigen (HBsAg) test, malaria test, syphilis test, urine for urinalysis, and stool for eggs (ova) and cysts.</p>
</sec>
<sec id="s2-3">
<title>Sample collection and analysis</title>
<p>Haemoglobin estimation was done using a portable haemoglobin estimation instrument HemoCue <sup>R</sup>HB 301 analyzer manufactured by A Danaher company (250&#xa0;S. Kraemer Blvd./Mail Stop BI.SW.11 Brea, CA 92821, United States), it is calibrated against the haemoglobin cyanide (HiCN) methods, the international reference method for the determination of the haemoglobin concentration in blood. Venous blood was collected into a micro cuvette and a drop of it was used within 50&#xa0;s of withdrawal for haemoglobin estimation. Anemia in the study was defined as a haemoglobin level below &#x3c;11.5&#xa0;g/dL, it was further categorized into, Normal (Hgb&#x3e;11.5&#xa0;g/dL), Moderate (Hgb 7.0&#xa0;g/dL&#x2013;11.5&#xa0;g/dL) and severe anemia (Hgb &#x3c;7&#xa0;g/dL). Later haemoglobin level was dichotomized into &#x3c;11.5&#xa0;g/dL as anaemia (<xref ref-type="bibr" rid="B32">Knbs, 2023</xref>) and &#x3e;&#x3d;11.5&#xa0;g/dL as normal haemoglobin (<xref ref-type="bibr" rid="B55">World Health Organization, 2018</xref>).</p>
<p>Blood pressures were measured using an automatic blood pressure (BP) analyser. This was done by wrapping the cuff around the upper arm, approximately one inch above the elbow, and the machine was turned on. The machine automatically inflates the cuff to a pressure above the expected systolic pressure, then gradually deflates. The machine detects the Korotkoff sounds as the pressure decreases and displays the systolic and diastolic pressures on its screen. Hypertension was defined as a systolic blood pressure &#x3e;&#x3d;140&#xa0;mmHg and/or a diastolic blood pressure &#x2265;90&#xa0;mmHg.</p>
<p>Malaria testing was done using Rapid Diagnostic Tests (RDTs) manufactured by Determine&#x2122; Abbott Company (Lake County, Illinois United States) which detect specific antigens derived from malaria parasites, this was done by placing a drop of blood into a sample pad on the RDT test card. The test card contains specific reagents that react with malaria antigens, the result was displayed on the pad and read after 20&#xa0;min. When two red lines appear on the test card it&#x2019;s an indication that malaria parasite was present and, therefore was reported as positive (<xref ref-type="bibr" rid="B32">Knbs, 2023</xref>) and when one line appears, recorded as negative (<xref ref-type="bibr" rid="B55">World Health Organization, 2018</xref>).</p>
<p>Hepatitis B and Syphilis were performed with the OnSite<sup>R</sup> rapid test kit manufactured by CTK Biotech Inc (Poway, CA, United States), which applies a lateral flow chromatographic immunoassay for the qualitative detection of hepatitis B and <italic>treponema pallidum</italic> surface antigen and antibody in whole blood. Hepatitis B and Syphilis status were reported as positive when two red lines appeared on the testing strip and negative when only one line appeared. Later, it was coded as Positive (<xref ref-type="bibr" rid="B32">Knbs, 2023</xref>), and Negative (<xref ref-type="bibr" rid="B55">World Health Organization, 2018</xref>).</p>
<p>Urine for urinalysis and stool for ova and cyst were microscopically examined. Women are asked to bring a stool sample in a stool container; the preparation is done by mixing saline water with the sample, and then a small sample is placed on a glass slide and examined for parasites; the result is categorized into ova and cyst seen, which is coded as (<xref ref-type="bibr" rid="B32">Knbs, 2023</xref>) or no ova and cyst seen as (<xref ref-type="bibr" rid="B55">World Health Organization, 2018</xref>). Women were encouraged to collect morning urine samples and bring them to the laboratory; the sample was put into a centrifuge; this machine separates the liquid urine from any solid components, such as blood cells, mineral crystals, or microorganisms. The deposit from the centrifuged sample was put on a microscope slide, and then the coverslips on the top of the drop were examined; the findings were later categorized into normal (<xref ref-type="bibr" rid="B32">Knbs, 2023</xref>) or abnormal (<xref ref-type="bibr" rid="B55">World Health Organization, 2018</xref>); it&#x2019;s abnormal if the finding includes numerous white blood cells (WBC) &#x3e; 20 cells/HPF and normal urine if very few WBC were seen per High Power Field (HPF).</p>
<p>The blood grouping was done by placing three drops of blood on the slide, and then three different reagents, which include antibodies A, B, and Rh antibodies were added to each drop; the content was mixed well and checked for the presence of agglutination then reported as per ABO and Rh blood grouping system. A small sample of blood was also used to test blood sugar level by placing a drop of blood onto the test strips, then placing the strip into the Accu-Check<sup>R</sup> Glucometer manufactured by (Roche S.A. Quimica e Industrial Rawson in Argentina) after a few seconds, the readings appeared; the result was collected as a continuous variable and later was categorized into normal &#x3c;7.6&#xa0;mmol/L (<xref ref-type="bibr" rid="B32">Knbs, 2023</xref>), and high &#x3e;7.6&#xa0;mmol/L (<xref ref-type="bibr" rid="B55">World Health Organization, 2018</xref>).</p>
</sec>
<sec id="s2-4">
<title>Statistical analysis</title>
<p>This cross-sectional study was conducted, and data was reported by Strengthening the Reporting of Observation Studies in Epidemiology (STROBE) guidelines (<xref ref-type="bibr" rid="B53">Vandenbroucke et al., 2007</xref>). A descriptive study was done, and all categorical variables were described with frequencies and percentages, while continuous variables were described with means and standard deviations. Bivariate analysis was performed using chi-square tests to identify associations between demographic characteristics and laboratory outcomes and also to select relevant variables for the multivariate analysis. Multivariate logistic regression was conducted, and predictive factors were chosen by fitting a logistic regression model using a forward selection procedure. All independent variables that show significant value was introduced in the final prediction model and analysed according to their categories in multivariate logistic regression analysis with enter methods. Before data analysis, the questionnaire was cleaned and coded, and then double data entry verification was applied using Epi Data version 3.1. All analyses were conducted using IBM SPSS version 28.0 (SPSS Inc., Chicago, IL, United States). A p-value less than 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Sample characteristics</title>
<p>A total of 237 pregnant women from ten mobile pastoralist communities participated in this study. Their mean age was 26.62 &#xb1; 5.371, of which the majority were in the age group of 20&#x2013;29, 212 (89.5%) were married, and 180 (75.9%) were multigravida. The mean weight was 55.56 &#xb1; 9.019 (kg), and the mean blood pressure systolic was 118.94 &#xb1; 19.95&#xa0;mmHg, and diastolic was 73.87 &#xb1; 13.46&#xa0;mmHg. The illiteracy level among this population is very high, with 222 (93.7%) of pregnant women who can&#x2019;t read and write. Approximately 66 (28%) of women are in a polygamous marriage, and 27 (11.4%) possess mobile phones; the proportion of women who had at least visited an antenatal clinic was only 27 (11.4%), and 121 (51.1%) walk more than 15&#xa0;km to seek healthcare services <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Social-demographic information of study participants in Moyale sub-county of Marsabit County, Kenya (N &#x3d; 237).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="2" align="left">Characteristics</th>
<th align="left">Number</th>
<th align="left">Percentage (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="10" align="left">Village</td>
<td align="left">Antut</td>
<td align="right">2</td>
<td align="right">0.8</td>
</tr>
<tr>
<td align="left">Chirach</td>
<td align="right">23</td>
<td align="right">9.7</td>
</tr>
<tr>
<td align="left">El-Raya</td>
<td align="right">8</td>
<td align="right">3.4</td>
</tr>
<tr>
<td align="left">Er-Wede</td>
<td align="right">4</td>
<td align="right">1.7</td>
</tr>
<tr>
<td align="left">Funandimo</td>
<td align="right">54</td>
<td align="right">22.8</td>
</tr>
<tr>
<td align="left">Laqi</td>
<td align="right">6</td>
<td align="right">2.5</td>
</tr>
<tr>
<td align="left">Mansile</td>
<td align="right">10</td>
<td align="right">4.2</td>
</tr>
<tr>
<td align="left">Qalaliwe</td>
<td align="right">40</td>
<td align="right">16.9</td>
</tr>
<tr>
<td align="left">Tesso</td>
<td align="right">9</td>
<td align="right">3.8</td>
</tr>
<tr>
<td align="left">Yaballo Godha</td>
<td align="right">81</td>
<td align="right">34.2</td>
</tr>
<tr>
<td rowspan="5" align="left">Age (Years)</td>
<td align="left">15&#x2013;19</td>
<td align="right">17</td>
<td align="right">7.2</td>
</tr>
<tr>
<td align="left">20&#x2013;29</td>
<td align="right">139</td>
<td align="right">58.6</td>
</tr>
<tr>
<td align="left">30&#x2013;39</td>
<td align="right">77</td>
<td align="right">32.5</td>
</tr>
<tr>
<td align="left">40&#x2013;49</td>
<td align="right">4</td>
<td align="right">1.7</td>
</tr>
<tr>
<td align="left">Mean &#xb1; SD</td>
<td align="right">26.63 &#xb1; 5.371</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Weight (kg)</td>
<td align="left"/>
<td align="right">55.56 &#xb1; 9.019</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Blood Pressure</td>
<td align="left">Systolic (mmHg)</td>
<td align="right">118.94 &#xb1; 19.95</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Diastolic (mmHg)</td>
<td align="right">73.87 &#xb1; 13.46</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">Marital status</td>
<td align="left">In Union</td>
<td align="right">212</td>
<td align="right">89.5</td>
</tr>
<tr>
<td align="left">Not in Union</td>
<td align="right">25</td>
<td align="right">10.6</td>
</tr>
<tr>
<td rowspan="2" align="left">Literacy Level</td>
<td align="left">Illiterate</td>
<td align="right">222</td>
<td align="right">93.7</td>
</tr>
<tr>
<td align="left">Literate</td>
<td align="right">15</td>
<td align="right">6.3</td>
</tr>
<tr>
<td rowspan="2" align="left">Polygamous</td>
<td align="left">Yes</td>
<td align="right">66</td>
<td align="right">27.8</td>
</tr>
<tr>
<td align="left">No</td>
<td align="right">171</td>
<td align="right">72.2</td>
</tr>
<tr>
<td rowspan="2" align="left">Mobile Phone</td>
<td align="left">Yes</td>
<td align="right">27</td>
<td align="right">11.4</td>
</tr>
<tr>
<td align="left">No</td>
<td align="right">210</td>
<td align="right">88.6</td>
</tr>
<tr>
<td rowspan="3" align="left">Distance (km)</td>
<td align="left">&#x3c;&#x3d;15</td>
<td align="right">116</td>
<td align="right">48.9</td>
</tr>
<tr>
<td align="left">&#x3e;&#x3d;16</td>
<td align="right">121</td>
<td align="right">51.1</td>
</tr>
<tr>
<td align="left">Median</td>
<td align="right">16 (8&#x2013;74)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">ANC visit</td>
<td align="left">Yes</td>
<td align="right">27</td>
<td align="right">11.4</td>
</tr>
<tr>
<td align="left">No</td>
<td align="right">210</td>
<td align="right">88.6</td>
</tr>
<tr>
<td rowspan="2" align="left">Gravida</td>
<td align="left">Multigravida</td>
<td align="right">180</td>
<td align="right">75.9</td>
</tr>
<tr>
<td align="left">Primigravida</td>
<td align="right">57</td>
<td align="right">24.1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>ANC, Antenatal Care; Kg, Kilogram; Km, Kilometer; mmHg, Millimeter of Mercury.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Antenatal laboratory screening results</title>
<p>Samples were collected from all 237 participants; out of all samples processed and tested, 135 (57%) had anaemia (haemoglobin level below 11.5&#xa0;g/dL), 6 (2.5%) were malaria positive, 8 (3.4%) were Hepatitis positive, and 21 (8.9%) showed intestinal infection. The majority of pregnant women, 106 (44.7%), were blood group O Rh positive, and 38 (16.5%) had gestational diabetes mellitus (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Antenatal Laboratory profile results of pastoralist pregnant women who attended the Integrated Maternal Mobile Health Clinic in Marsabit County, Kenya (N &#x3d; 237).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="2" align="left">Characteristic</th>
<th align="left">Number</th>
<th align="left">Percentage (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="3" align="left">Haemoglobin Level</td>
<td align="left">Normal (&#x3e;&#x3d;11.5&#xa0;g/dL)</td>
<td align="right">102</td>
<td align="right">43</td>
</tr>
<tr>
<td align="left">Moderate Anaemia (&#x3e;7.0 &#x3c;11.5&#xa0;g/dL)</td>
<td align="right">127</td>
<td align="right">53.6</td>
</tr>
<tr>
<td align="left">Severe Anaemia (&#x3c;7.0&#xa0;g/dL)</td>
<td align="right">8</td>
<td align="right">3.4</td>
</tr>
<tr>
<td rowspan="3" align="left">Glucose (Mmol/L)</td>
<td align="left">&#x3c;6.5</td>
<td align="right">181</td>
<td align="right">76.4</td>
</tr>
<tr>
<td align="left">6.5&#x2013;7.6</td>
<td align="right">17</td>
<td align="right">7.2</td>
</tr>
<tr>
<td align="left">&#x3e;7.6</td>
<td align="right">39</td>
<td align="right">16.5</td>
</tr>
<tr>
<td rowspan="2" align="left">Urinalysis</td>
<td align="left">Abnormality detected (UTI)</td>
<td align="right">41</td>
<td align="right">17.3</td>
</tr>
<tr>
<td align="left">No Abnormality Detected</td>
<td align="right">196</td>
<td align="right">82.7</td>
</tr>
<tr>
<td rowspan="7" align="left">Blood grouping</td>
<td align="left">O RhD Positive</td>
<td align="right">106</td>
<td align="right">44.7</td>
</tr>
<tr>
<td align="left">O RhD Negative</td>
<td align="right">9</td>
<td align="right">3.8</td>
</tr>
<tr>
<td align="left">B RhD Positive</td>
<td align="right">46</td>
<td align="right">19.4</td>
</tr>
<tr>
<td align="left">B RhD Negative</td>
<td align="right">1</td>
<td align="right">0.4</td>
</tr>
<tr>
<td align="left">AB RhD Positive</td>
<td align="right">33</td>
<td align="right">13.9</td>
</tr>
<tr>
<td align="left">A RhD Positive</td>
<td align="right">41</td>
<td align="right">17.3</td>
</tr>
<tr>
<td align="left">A RhD Negative</td>
<td align="right">1</td>
<td align="right">0.4</td>
</tr>
<tr>
<td rowspan="2" align="left">Stool for O/C</td>
<td align="left">Cyst of EH</td>
<td align="right">21</td>
<td align="right">8.9</td>
</tr>
<tr>
<td align="left">No O/C seen</td>
<td align="right">216</td>
<td align="right">91.1</td>
</tr>
<tr>
<td rowspan="2" align="left">Hepatitis</td>
<td align="left">Positive</td>
<td align="right">8</td>
<td align="right">3.4</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="right">229</td>
<td align="right">96.6</td>
</tr>
<tr>
<td rowspan="2" align="left">Malaria Test</td>
<td align="left">Positive</td>
<td align="right">6</td>
<td align="right">2.5</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="right">231</td>
<td align="right">97.5</td>
</tr>
<tr>
<td rowspan="2" align="left">VDRL</td>
<td align="left">Positive</td>
<td align="right">1</td>
<td align="right">0.4</td>
</tr>
<tr>
<td align="left">Negative</td>
<td align="right">236</td>
<td align="right">99.6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn2">
<label>
<sup>a</sup>
</label>
<p>Mmol/Lit-Millimoles per liter, RhD-Rhesus antibody, EH-Entamoeba Histolytica, O/C-Ova and Cyst, HbsAg-Hepatitis Antigen, VDRL-Venereal Disease Research Laboratory, UTI-Urinary Tract Infection.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<title>Bivariate analysis</title>
<p>As per <xref ref-type="table" rid="T3">Table 3</xref>, the bivariate analysis revealed a significant association between several health variables and laboratory outcomes, that is, haemoglobin level (indicative of anaemia), blood sugar level (linked to hyperglycaemia), Urinalysis results (related to urinary tract infection), and stool for ova and cysts (indicating intestinal worms).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Bivariate analysis of antenatal laboratory profile results of pastoralist pregnant women who attended the IMMH outreach in Marsabit County, Kenya.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" colspan="2" align="left">Characteristic</th>
<th rowspan="2" align="center">Frequency</th>
<th rowspan="2" align="center">(%)</th>
<th colspan="3" align="center">Haemoglobin level</th>
<th colspan="3" align="center">Blood sugar level</th>
<th colspan="3" align="center">Urinalysis</th>
<th colspan="3" align="center">Stool for O/C</th>
</tr>
<tr>
<th align="center">Normal Hb</th>
<th align="center">Anemia</th>
<th align="center">P-value</th>
<th align="center">Normal</th>
<th align="center">High</th>
<th align="center">P-value</th>
<th align="center">No UTI</th>
<th align="center">With UTI</th>
<th align="center">P-value</th>
<th align="center">No O/C seen</th>
<th align="center">O/C seen</th>
<th align="center">P-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="11" align="left">Village</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="right">0.86</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.296</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.001</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.015</td>
</tr>
<tr>
<td align="left">Antut</td>
<td align="right">2</td>
<td align="right">0.8</td>
<td align="right">0 (0)</td>
<td align="right">2 (100)</td>
<td align="left"/>
<td align="right">2 (100)</td>
<td align="right">0</td>
<td align="left"/>
<td align="right">2 (100)</td>
<td align="right">0</td>
<td align="left"/>
<td align="right">2 (100)</td>
<td align="right">0 (0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Chirach</td>
<td align="right">23</td>
<td align="right">9.7</td>
<td align="right">12 (52.2)</td>
<td align="right">11 (47.8)</td>
<td align="left"/>
<td align="right">20 (87.0)</td>
<td align="right">3 (13.0)</td>
<td align="left"/>
<td align="right">14 (60.9)</td>
<td align="right">9 (39.1)</td>
<td align="left"/>
<td align="right">21 (91.3)</td>
<td align="right">2 (8.7)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">El-Raya</td>
<td align="right">8</td>
<td align="right">3.4</td>
<td align="right">3 (37.5)</td>
<td align="right">5 (62.5)</td>
<td align="left"/>
<td align="right">4 (50.0)</td>
<td align="right">4 (50.0)</td>
<td align="left"/>
<td align="right">5 (62.5)</td>
<td align="right">3 (37.5)</td>
<td align="left"/>
<td align="right">6 (75.0)</td>
<td align="right">2 (25.0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Er-Wede</td>
<td align="right">4</td>
<td align="right">1.7</td>
<td align="right">2 (50)</td>
<td align="right">2 (50)</td>
<td align="left"/>
<td align="right">3 (75.0)</td>
<td align="right">1 (25.0)</td>
<td align="left"/>
<td align="right">3 (75.0)</td>
<td align="right">1 (25.0)</td>
<td align="left"/>
<td align="right">3 (75.0)</td>
<td align="right">1 (25.0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Funandimo</td>
<td align="right">54</td>
<td align="right">22.8</td>
<td align="right">2,546.3)</td>
<td align="right">29 (53.7)</td>
<td align="left"/>
<td align="right">46 (85.2)</td>
<td align="right">8 (14.8)</td>
<td align="left"/>
<td align="right">51 (94.4)</td>
<td align="right">39 (5.6)</td>
<td align="left"/>
<td align="right">43 (79.6)</td>
<td align="right">11 (20.4)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Laqi</td>
<td align="right">6</td>
<td align="right">2.5</td>
<td align="right">1 (16.7)</td>
<td align="right">5 (83.3)</td>
<td align="left"/>
<td align="right">5 (83.3)</td>
<td align="right">1 (16.7)</td>
<td align="left"/>
<td align="right">5 (83.3)</td>
<td align="right">1 (16.7)</td>
<td align="left"/>
<td align="right">6 (100)</td>
<td align="right">0</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Mansile</td>
<td align="right">10</td>
<td align="right">4.2</td>
<td align="right">4 (40)</td>
<td align="right">6 (60)</td>
<td align="left"/>
<td align="right">10 (100)</td>
<td align="right">0</td>
<td align="left"/>
<td align="right">10 (100)</td>
<td align="right">0</td>
<td align="left"/>
<td align="right">10 (100)</td>
<td align="right">0</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Qalaliwe</td>
<td align="right">40</td>
<td align="right">16.9</td>
<td align="right">18 (45.0)</td>
<td align="right">22 (55.0)</td>
<td align="left"/>
<td align="right">35 (87.5)</td>
<td align="right">5 (12.5)</td>
<td align="left"/>
<td align="right">36 (90)</td>
<td align="right">4 (10.0)</td>
<td align="left"/>
<td align="right">37 (92.5)</td>
<td align="right">3 (7.5)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Tesso</td>
<td align="right">9</td>
<td align="right">3.8</td>
<td align="right">4 (44.4)</td>
<td align="right">5 (55.6)</td>
<td align="left"/>
<td align="right">8 (88.9)</td>
<td align="right">1 (11.1)</td>
<td align="left"/>
<td align="right">3 (33.3)</td>
<td align="right">6 (66.7)</td>
<td align="left"/>
<td align="right">8 (88.9)</td>
<td align="right">1 (11.1)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Yaballo Godha</td>
<td align="right">81</td>
<td align="right">34.2</td>
<td align="right">33 (40.7)</td>
<td align="right">48 (59.3)</td>
<td align="left"/>
<td align="right">65 (80.2)</td>
<td align="right">16 (19.8)</td>
<td align="left"/>
<td align="right">67 (82.7)</td>
<td align="right">14 (17.3)</td>
<td align="left"/>
<td align="right">80 (98.8)</td>
<td align="right">1 (1.2)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="5" align="left">Age (Years)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="right">0.86</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.356</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.83</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.891</td>
</tr>
<tr>
<td align="left">15&#x2013;19</td>
<td align="right">17</td>
<td align="right">7.2</td>
<td align="right">7 (41.2)</td>
<td align="right">10 (58.8)</td>
<td align="left"/>
<td align="right">13 (76.5)</td>
<td align="right">4 (23.5)</td>
<td align="left"/>
<td align="right">14 (82.4)</td>
<td align="right">3 (17.6)</td>
<td align="left"/>
<td align="right">16 (94.1)</td>
<td align="right">1 (5.9)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">20&#x2013;29</td>
<td align="right">139</td>
<td align="right">58.6</td>
<td align="right">59 (42.4)</td>
<td align="right">80 (57.6)</td>
<td align="left"/>
<td align="right">120 (86.3)</td>
<td align="right">19 (13.7)</td>
<td align="left"/>
<td align="right">115 (82.7)</td>
<td align="right">24 (17.3)</td>
<td align="left"/>
<td align="right">126 (90.6)</td>
<td align="right">13 (9.4)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">30&#x2013;39</td>
<td align="right">77</td>
<td align="right">32.5</td>
<td align="right">35 (45.5)</td>
<td align="right">42 (54.5)</td>
<td align="left"/>
<td align="right">61 (79.2)</td>
<td align="right">16 (20.8)</td>
<td align="left"/>
<td align="right">63 (81.8)</td>
<td align="right">14,918.2)</td>
<td align="left"/>
<td align="right">70 (90.9)</td>
<td align="right">7 (9.1)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">40&#x2013;49</td>
<td align="right">4</td>
<td align="right">1.7</td>
<td align="right">1 (25)</td>
<td align="right">3 (75.0)</td>
<td align="left"/>
<td align="right">4 (100)</td>
<td align="right">0</td>
<td align="left"/>
<td align="right">4 (100)</td>
<td align="right">0</td>
<td align="left"/>
<td align="right">4 (100)</td>
<td align="right">0</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">Marital status</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="right">0.166</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.525</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.135</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.001</td>
</tr>
<tr>
<td align="left">In Union</td>
<td align="right">212</td>
<td align="right">89.5</td>
<td align="right">88 (41.5)</td>
<td align="right">124 (58.5)</td>
<td align="left"/>
<td align="right">176 (83.0)</td>
<td align="right">36 (17.0)</td>
<td align="left"/>
<td align="right">178 (84.0)</td>
<td align="right">34 (16.0)</td>
<td align="left"/>
<td align="right">198 (93.4)</td>
<td align="right">18 (8.5)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Not in Union</td>
<td align="right">25</td>
<td align="right">10.6</td>
<td align="right">14 (56.0)</td>
<td align="right">11 (44.0)</td>
<td align="left"/>
<td align="right">22 (88.0)</td>
<td align="right">3 (12.0)</td>
<td align="left"/>
<td align="right">18 (72.0)</td>
<td align="right">7 (28.0)</td>
<td align="left"/>
<td align="right">18 (72.0)</td>
<td align="right">7 (28.0)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">Literacy Level</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="right">0.001</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.291</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.775</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.212</td>
</tr>
<tr>
<td align="left">Illiterate</td>
<td align="right">222</td>
<td align="right">93.7</td>
<td align="right">89 (40.1)</td>
<td align="right">133 (59.9)</td>
<td align="left"/>
<td align="right">184 (82.9)</td>
<td align="right">38 (17.1)</td>
<td align="left"/>
<td align="right">184 (82.9)</td>
<td align="right">38 (17.1)</td>
<td align="left"/>
<td align="right">201 (90.5)</td>
<td align="right">21 (9.5)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Litrate</td>
<td align="right">15</td>
<td align="right">6.3</td>
<td align="right">13 (86.7)</td>
<td align="right">2 (13.30</td>
<td align="left"/>
<td align="right">14 (93.3)</td>
<td align="right">1 (6.7)</td>
<td align="left"/>
<td align="right">12 (80.0)</td>
<td align="right">3 (20.0)</td>
<td align="left"/>
<td align="right">15 (100)</td>
<td align="right">0</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">Polygamous</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="right">0.054</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.007</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.014</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.009</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="right">66</td>
<td align="right">27.8</td>
<td align="right">35 (53.0)</td>
<td align="right">31 (47.0)</td>
<td align="left"/>
<td align="right">62 (93.9)</td>
<td align="right">4 (6.1)</td>
<td align="left"/>
<td align="right">61 (92.4)</td>
<td align="right">5 (7.6)</td>
<td align="left"/>
<td align="right">55 (83.3)</td>
<td align="right">11 (16.7)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">No</td>
<td align="right">171</td>
<td align="right">72.2</td>
<td align="right">&#x2212;39.2</td>
<td align="right">104 (60.8)</td>
<td align="left"/>
<td align="right">136 (79.5)</td>
<td align="right">35 (20.5)</td>
<td align="left"/>
<td align="right">135 (78.9)</td>
<td align="right">36 (21.1)</td>
<td align="left"/>
<td align="right">161 (94.2)</td>
<td align="right">10 (5.8)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">Distance (km)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="right">0.808</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.085</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.749</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.213</td>
</tr>
<tr>
<td align="left">&#x3c;&#x3d;15</td>
<td align="right">116</td>
<td align="right">48.9</td>
<td align="right">49 (42.2)</td>
<td align="right">67 (57.8)</td>
<td align="left"/>
<td align="right">92 (79.3)</td>
<td align="right">24 (20.7)</td>
<td align="left"/>
<td align="right">95 (81.9)</td>
<td align="right">21 (18.1)</td>
<td align="left"/>
<td align="right">103 (88.8)</td>
<td align="right">13 (11.2)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x3e;&#x3d;16</td>
<td align="right">121</td>
<td align="right">51.1</td>
<td align="right">53 (43.8)</td>
<td align="right">68 (56.2)</td>
<td align="left"/>
<td align="right">106 (87.6)</td>
<td align="right">15 (12.4)</td>
<td align="left"/>
<td align="right">101 (83.5)</td>
<td align="right">20 (16.5)</td>
<td align="left"/>
<td align="right">113 (93.4)</td>
<td align="right">8 (6.6)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">ANC Visit</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="right">0.001</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.428</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.54</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.953</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="right">44</td>
<td align="right">11.4</td>
<td align="right">32 (72.7)</td>
<td align="right">12 (27.3)</td>
<td align="left"/>
<td align="right">35 (79.5)</td>
<td align="right">9 (20.5)</td>
<td align="left"/>
<td align="right">35 (79.5)</td>
<td align="right">9 (20.5)</td>
<td align="left"/>
<td align="right">40 (90.9)</td>
<td align="right">4 (9.1)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">No</td>
<td align="right">193</td>
<td align="right">88.6</td>
<td align="right">70 (36.3)</td>
<td align="right">123 (63.7)</td>
<td align="left"/>
<td align="right">163 (84.5)</td>
<td align="right">30 (15.5)</td>
<td align="left"/>
<td align="right">161 (83.4)</td>
<td align="right">32 (16.6)</td>
<td align="left"/>
<td align="right">176 (91.2)</td>
<td align="right">17 (8.8)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">Gravida</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="right">0.87</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.876</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.051</td>
<td align="left"/>
<td align="left"/>
<td align="right">0.103</td>
</tr>
<tr>
<td align="left">Multigravida</td>
<td align="right">180</td>
<td align="right">75.9</td>
<td align="right">78 (43.3)</td>
<td align="right">102 (56.7)</td>
<td align="left"/>
<td align="right">150 (83.3)</td>
<td align="right">30 (16.70</td>
<td align="left"/>
<td align="right">144 (80.0)</td>
<td align="right">36 (20.0)</td>
<td align="left"/>
<td align="right">161 (89.4)</td>
<td align="right">19 (10.6)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Primigravida</td>
<td align="right">57</td>
<td align="right">24.1</td>
<td align="right">24 (42.1)</td>
<td align="right">33 (57.9)</td>
<td align="left"/>
<td align="right">48 (84.2)</td>
<td align="right">9 (15.8)</td>
<td align="left"/>
<td align="right">52 (91.2)</td>
<td align="right">5 (8.8)</td>
<td align="left"/>
<td align="right">55 (96.5)</td>
<td align="right">2 (3.5)</td>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn3">
<label>
<sup>a</sup>
</label>
<p>Hb, Haemoglobin; UTI, Urinary Tract Infection; O/C-Ova and Cyst, km, kilometre; ANC, Antenatal Care.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>There was a significant association between the village of residence and the presence of UTI and intestinal infections, with a p-value of 0.001 and 0.015, respectively. In Tesso village, 66.0% of women reported UTIs while both El-Raya and Er-Wede villages showed a 25% incidence of intestinal infections, Women who are not in the union have a significantly higher prevalence of e intestinal worms (n &#x3d; 7, 28%) compared to women in the union p &#x3d; 0.001. However, no significance associations were found between union status and anaemia, hypertension, or urinary tract infection. Illiteracy is strongly linked to anaemia, with (n &#x3d; 133, 59.9%) of uneducated women being affected p &#x3d; 0.001.</p>
<p>Monogamous marriages correlate with higher rates of anaemia (n &#x3d; 104, 60.8%), p &#x3d; 0.054, hypertension, (n &#x3d; 35, 20.5%) p &#x3d; 0.007, urinary tract infection (n &#x3d; 36, 21.1%) p &#x3d; 0.014, compared to women in a polygamous marriage, but women in polygamous marriages are significantly associated with intestinal worms (n &#x3d; 11, 16.7%) p &#x3d; 0.009, compared to women in monogamous marriage.</p>
<p>Pregnant women with multiple pregnancies (multigravida) are more likely to have urinary tract infection (n &#x3d; 36, 20%), p &#x3d; 0.051, compared to primigravida.</p>
<p>Women who didn&#x2019;t attend the antenatal clinic for the duration of their pregnancy were significantly associated with anaemia p &#x3d; 0.001, (n &#x3d; 123, 63.7%) compared to women who attended the antenatal clinic during the present pregnancy.</p>
<p>Variables such as age and distance to health facilities did not indicate any significant correlations with haemoglobin level, blood pressure level, urinary tract infections, and intestinal worms.</p>
</sec>
<sec id="s3-4">
<title>Multivariable analysis</title>
<p>The results of the multivariate analysis are presented in <xref ref-type="table" rid="T4">Tables 4</xref>, <xref ref-type="table" rid="T5">5</xref>. Indicate that several variables previously identified as significant in bivariate analysis also demonstrate significance in the multivariable analysis. Notably, factors like literacy level and previous antenatal visits for the present pregnancy remained significant for haemoglobin level (anaemia), being monogamous and multigravida remained significant for urinary tract infection, and last but not least being married and having a mobile phone remained significant.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Logistic regression of Heamoglobin and Blood sugar level results of pastoralist pregnant women by socio-demographic information.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="3" colspan="2" align="center">Variables</th>
<th colspan="4" align="center">Model I</th>
<th colspan="4" align="center">Model II</th>
<th rowspan="3" colspan="2" align="center">Variables</th>
<th colspan="4" align="left">Model I</th>
<th colspan="4" align="center">Model II</th>
</tr>
<tr>
<th rowspan="2" align="center">Sig</th>
<th rowspan="2" align="center">Exp(B)</th>
<th colspan="2" align="center">95% C.I.for EXP(B)</th>
<th rowspan="2" align="center">Sig</th>
<th rowspan="2" align="center">Exp(B)</th>
<th colspan="2" align="center">95% C.I.for EXP(B)</th>
<th rowspan="2" align="center">Sig</th>
<th rowspan="2" align="center">Exp(B)</th>
<th colspan="2" align="center">95% C.I.for EXP(B)</th>
<th rowspan="2" align="center">Sig</th>
<th rowspan="2" align="center">Exp(B)</th>
<th colspan="2" align="center">95% C.I.for EXP(B)</th>
</tr>
<tr>
<th align="center">Lower</th>
<th align="center">Upper</th>
<th align="center">Lower</th>
<th align="center">Upper</th>
<th align="center">Lower</th>
<th align="center">Upper</th>
<th align="center">Lower</th>
<th align="center">Upper</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="20" align="center">Haemoglobin Level</td>
<td colspan="9" align="left">Age Group</td>
<td rowspan="20" align="center">Blood Sugar Level</td>
<td colspan="9" align="left">Age Group</td>
</tr>
<tr>
<td align="left">15&#x2013;19</td>
<td align="right">0.50</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">15&#x2013;19</td>
<td align="right">0.17</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">20&#x2013;29</td>
<td align="right">0.76</td>
<td align="right">0.640</td>
<td align="right">0.037</td>
<td align="right">10.958</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">20&#x2013;29</td>
<td align="right">0.99</td>
<td align="right">0.001</td>
<td align="right">0.001</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">30&#x2013;39</td>
<td align="right">0.39</td>
<td align="right">0.329</td>
<td align="right">0.025</td>
<td align="right">4.270</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">30&#x2013;39</td>
<td align="right">0.99</td>
<td align="right">0.001</td>
<td align="right">0.001</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x3e;40</td>
<td align="right">0.34</td>
<td align="right">0.286</td>
<td align="right">0.022</td>
<td align="right">3.698</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">&#x3e;40</td>
<td align="right">0.99</td>
<td align="right">0.001</td>
<td align="right">0.001</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td colspan="9" align="left">Literacy</td>
<td colspan="9" align="left">Literacy</td>
</tr>
<tr>
<td align="left">Literate</td>
<td align="right">0.01</td>
<td align="right">16.23</td>
<td align="right">3.030</td>
<td align="right">86.860</td>
<td align="right">0.01</td>
<td align="right">12.75</td>
<td align="right">2.770</td>
<td align="right">58.570</td>
<td align="left">Literate</td>
<td align="right">0.35</td>
<td align="right">0.345</td>
<td align="right">0.037</td>
<td align="right">3.195</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Illiterate</td>
<td align="right">Ref</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">Illiterate</td>
<td align="right">Ref</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td colspan="9" align="left">Married</td>
<td align="left">
<bold>Married</bold>
</td>
<td align="right">Ref</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">In-Union</td>
<td align="right">0.84</td>
<td align="right">0.890</td>
<td align="right">0.295</td>
<td align="right">2.683</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">In-Union</td>
<td align="right">0.28</td>
<td align="right">2.333</td>
<td align="right">0.501</td>
<td align="right">10.862</td>
<td align="right">0.01</td>
<td align="right">0.141</td>
<td align="right">0.031</td>
<td align="right">0.637</td>
</tr>
<tr>
<td align="left">Not-In union</td>
<td align="right">Ref</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">Not-In union</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td colspan="9" align="left">Type of Marriage</td>
<td colspan="9" align="left">Type of Marriage</td>
</tr>
<tr>
<td align="left">Polygamous</td>
<td align="right">Ref</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">Polygamous</td>
<td align="right">Ref</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Monogamous</td>
<td align="right">0.19</td>
<td align="right">1.588</td>
<td align="right">0.793</td>
<td align="right">3.180</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">Monogamous</td>
<td align="right">0.01</td>
<td align="right">0.204</td>
<td align="right">0.059</td>
<td align="right">0.707</td>
<td align="right">0.03</td>
<td align="right">6.464</td>
<td align="right">1.218</td>
<td align="right">34.291</td>
</tr>
<tr>
<td colspan="9" align="left">Distance to HF</td>
<td colspan="9" align="left">Distance</td>
</tr>
<tr>
<td align="left">&#x3c;&#x3d;15</td>
<td align="right">0.87</td>
<td align="right">0.949</td>
<td align="right">0.520</td>
<td align="right">1.732</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">&#x3c;&#x3d;15</td>
<td align="right">0.016</td>
<td align="right">2.584</td>
<td align="right">1.195</td>
<td align="right">5.588</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x3e;&#x3d;16</td>
<td align="right">Ref</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">&#x3e;&#x3d;16</td>
<td align="right">Ref</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td colspan="9" align="left">ANC Visit</td>
<td colspan="9" align="left">ANC Visit</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="right">0.01</td>
<td align="right">5.366</td>
<td align="right">2.421</td>
<td align="right">11.893</td>
<td align="right">0.01</td>
<td align="right">5.412</td>
<td align="right">2.594</td>
<td align="right">11.289</td>
<td align="left">Yes</td>
<td align="right">0.159</td>
<td align="right">2.043</td>
<td align="right">0.756</td>
<td align="right">5.526</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">No</td>
<td colspan="2" align="left">Ref</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">No</td>
<td align="right">Ref</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Logistic regression of Urinalysis and stool analysis of pastoralist pregnant women by socio-demographic information.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="3" colspan="2" align="center">Variables</th>
<th colspan="4" align="left">Model I</th>
<th colspan="4" align="left">Model II</th>
<th rowspan="3" colspan="2" align="center">Variables</th>
<th colspan="6" align="left">Model I</th>
<th colspan="4" align="left">Model II</th>
</tr>
<tr>
<th rowspan="2" align="left">Sig</th>
<th rowspan="2" align="left">Exp(B)</th>
<th colspan="2" align="left">95% C.I.for EXP(B)</th>
<th rowspan="2" align="left">Sig</th>
<th rowspan="2" align="left">Exp(B)</th>
<th colspan="2" align="left">95% C.I.for EXP(B)</th>
<th rowspan="2" align="left">Sig</th>
<th rowspan="2" align="left">Exp(B)</th>
<th align="left"/>
<th colspan="3" align="left">95% C.I.for EXP(B)</th>
<th rowspan="2" align="left">Sig</th>
<th rowspan="2" align="left">Exp(B)</th>
<th colspan="2" align="left">95% C.I.for EXP(B)</th>
</tr>
<tr>
<th align="left">Lower</th>
<th align="left">Upper</th>
<th align="left">Lower</th>
<th align="left">Upper</th>
<th colspan="2" align="left">Lower</th>
<th colspan="2" align="left">Upper</th>
<th align="left">Lower</th>
<th align="left">Upper</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="20" align="center">Urinalysis</td>
<td colspan="9" align="left">Age Group</td>
<td rowspan="20" align="center">Stool for Ova and cyst</td>
<td colspan="11" align="left">Age Group</td>
</tr>
<tr>
<td align="left">15&#x2013;19</td>
<td align="right">0.99</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">15&#x2013;19</td>
<td align="right">0.91</td>
<td align="left"/>
<td colspan="3" align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">20&#x2013;29</td>
<td align="right">0.99</td>
<td align="right">0.001</td>
<td align="right">0.001</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">20&#x2013;29</td>
<td align="right">0.99</td>
<td align="right">0.001</td>
<td colspan="3" align="left">0.001</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">30&#x2013;39</td>
<td align="right">0.99</td>
<td align="right">0.001</td>
<td align="right">0.001</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">30&#x2013;39</td>
<td align="right">0.99</td>
<td align="right">0.001</td>
<td colspan="3" align="left">0.001</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x3e;40</td>
<td align="right">0.99</td>
<td align="right">0.001</td>
<td align="right">0.001</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">&#x3e;40</td>
<td align="right">0.99</td>
<td align="right">0.001</td>
<td colspan="3" align="left">0.001</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td colspan="9" align="left">Literacy</td>
<td colspan="11" align="left">Literacy</td>
</tr>
<tr>
<td align="left">Literate</td>
<td align="right">0.26</td>
<td align="right">2.540</td>
<td align="right">0.490</td>
<td align="right">12.930</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">Literate</td>
<td align="right">0.98</td>
<td align="right">0.001</td>
<td colspan="3" align="left">0.001</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Illiterate</td>
<td align="right">Ref</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">Illiterate</td>
<td align="right">Ref</td>
<td align="left"/>
<td colspan="3" align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Married</td>
<td align="right">Ref</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">Married</td>
<td align="right">Ref</td>
<td align="left"/>
<td colspan="3" align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">In-Union</td>
<td align="right">0.17</td>
<td align="right">0.420</td>
<td align="right">0.120</td>
<td align="right">1.460</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">In-Union</td>
<td align="right">0.03</td>
<td align="right">0.119</td>
<td colspan="3" align="left">0.029</td>
<td align="right">0.484</td>
<td align="right">0.005</td>
<td align="right">0.219</td>
<td align="right">0.076</td>
<td align="right">0.631</td>
</tr>
<tr>
<td align="left">Not-In union</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">Not-In union</td>
<td align="left"/>
<td align="left"/>
<td colspan="3" align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td colspan="9" align="left">Type of Marriage</td>
<td colspan="11" align="left">Type of Marriage</td>
</tr>
<tr>
<td align="left">Polygamous</td>
<td align="right">Ref</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">Polygamous</td>
<td align="right">Ref</td>
<td align="left"/>
<td colspan="3" align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Monogamous</td>
<td align="right">0.01</td>
<td align="right">0.210</td>
<td align="right">0.060</td>
<td align="right">0.680</td>
<td align="right">0.017</td>
<td align="right">0.255</td>
<td align="right">
<break/>0.083</td>
<td align="right">0.783</td>
<td align="left">Monogamous</td>
<td align="right">0.02</td>
<td align="right">3.444</td>
<td colspan="3" align="left">1.192</td>
<td align="left">9.949</td>
<td align="right">0.040</td>
<td align="right">2.683</td>
<td align="right">1.047</td>
<td align="right">6.879</td>
</tr>
<tr>
<td colspan="9" align="left">Distance</td>
<td colspan="11" align="left">Distance</td>
</tr>
<tr>
<td align="left">&#x3c;&#x3d;15</td>
<td align="right">0.77</td>
<td align="right">1.120</td>
<td align="right">0.520</td>
<td align="right">2.430</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">&#x3c;&#x3d;15</td>
<td align="right">0.21</td>
<td align="right">1.967</td>
<td colspan="3" align="left">0.691</td>
<td align="left">5.602</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x3e;&#x3d;16</td>
<td align="right">Ref</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">&#x3e;&#x3d;16</td>
<td align="right">Ref</td>
<td align="left"/>
<td colspan="3" align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td colspan="9" align="left">ANC Visit</td>
<td colspan="11" align="left">ANC Visit</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="right">0.38</td>
<td align="right">1.570</td>
<td align="right">0.570</td>
<td align="right">4.310</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">Yes</td>
<td align="right">0.31</td>
<td align="right">0.454</td>
<td colspan="3" align="left">0.099</td>
<td align="left">2.072</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">No</td>
<td colspan="2" align="left">Ref</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">No</td>
<td align="right">Ref</td>
<td align="left"/>
<td colspan="3" align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
<p>Those women who are illiterate displayed a 12-fold higher likelihood of becoming anaemic during pregnancy (OR 12.75, 95% CI: 2.77&#x2013;58.57), compared to literate women and those who didn&#x2019;t attend antenatal clinic also have a 5-fold higher likelihood of being anaemic (OR 5.49, 95% CI: 2.59&#x2013;11.39), compared to those who didn&#x2019;t attend antenatal clinic.</p>
<p>Women who are married and live far from health facilities are twice as likely to have hyperglycaemia (OR 2.58, 95% CI: 1.19&#x2013;5.59).</p>
<p>Pregnant women who are multigravida and practice monogamy show a reduced likelihood of having urinary tract infections (OR 0.33, 95% CI: 0.120&#x2013;0.916), (OR 0.210, 95% CI: 0.075&#x2013;0.587), and (OR 1.06, 95% CI: 0.932&#x2013;1.206), respectively, although some significance is noted for being polygamous and at certain gravida.</p>
<p>Pregnant women who are living in a specific village, at a distance from health facilities, and having co-wives or mobile phones exhibit varying likelihoods of having intestinal parasites, (OR 1.165, 95% CI: 0.952&#x2013;1.426), (OR 2.14, 95% CI: 0.763&#x2013;6.006), (OR 1.19, 95% CI: 0.395&#x2013;3.572) and (OR 4.44, 95% CI: 1.440&#x2013;13.714) respectively.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Clinical examination and laboratory screening are critical when it comes to the management of pregnant women during pregnancy, the findings will guide the clinician to identify any pregnancy-related complications and to put prevention measurements in advance (<xref ref-type="bibr" rid="B13">Bohn and Adeli, 2022</xref>). Some of the laboratory screenings that are recommended to be done for all pregnant women are, malaria test, Human Immunodeficiency Virus (HIV), hepatitis virus, syphilis, diabetes, and haemoglobin level (<xref ref-type="bibr" rid="B37">Mudany et al., 2015</xref>), but all these depend on the region where women are coming from (<xref ref-type="bibr" rid="B55">World Health Organization, 2018</xref>). This study explores the clinical examination and the laboratory antenatal screening outcome of pastoralist pregnant women who attended the IMMH outreach clinic for antenatal care from 10 selected pastoralist communities. The main findings of this research showed that the majority of the participants walk long distances to health facilities, are illiterate, have low attendance of antenatal care and a higher percentage are anaemic. The analysis revealed that illiteracy significantly increases the risk of anaemia during pregnancy. In addition, laboratory outcomes showed some conditions like hyperglycemia, UTI, and intestinal infestation among pregnant women. Overall, these findings illustrated that literacy, antenatal care attendance, marital status, and access to healthcare facilities intertwine to affect maternal health outcomes. This can be addressed through targeted intervention which can significantly improve pregnancy outcomes and reduce complications associated with anaemia, hyperglycaemia, UTIs, and intestinal parasites.</p>
<p>According to the WHO, each pregnant woman must receive at least eight ANC visits, however, only a few pregnant women have at least visited their first antenatal clinic during pregnancy (<xref ref-type="bibr" rid="B26">Habte et al., 2024</xref>). According to our findings, only 27 (11.4%) of women were able to attend to antenatal clinic, this finding is consistent with District Health Information Software 2 (DHIS2, 2017) and Marsabit County reproductive maternal new-born child, and adolescent health scorecard of 2017, which showed that almost 3,206 (80%) of these mothers did not achieve the WHO recommendation and antenatal care coverage is 43% against National coverage of 58% (<xref ref-type="bibr" rid="B16">David, 2022</xref>). This study is also consistent with a cross-sectional study conducted in Ethiopia among pastoralist communities which shows that only 156 (20%) of women received the recommended standard ANC (<xref ref-type="bibr" rid="B12">Biza and Mohammed, 2016</xref>). The majority, 139 (58.6%) of the women were in the age group of 20&#x2013;29&#xa0;years, this finding was similar to the study led by Abok (<xref ref-type="bibr" rid="B2">Abok, 2012</xref>) in Turkana County on the determining factors for the utilization of ANC among pastoralist women, of which most of the women were aged between 21 and 29&#xa0;years, and also other study done in Marsabit county which shows the same result (<xref ref-type="bibr" rid="B20">Galgalo et al., 2024</xref>). The finding also was consistent with the mean reproductive age of women in Kenya which is 20&#x2013;24&#xa0;years as per (DHIS 2020).</p>
<p>Anaemia is a condition that occurs when there are not enough red blood cells to carry sufficient oxygen throughout the body and, it&#x2019;s a common condition among pregnant women (<xref ref-type="bibr" rid="B24">Gupta, 2020</xref>). Anaemia in expectant women has an adverse pregnancy outcome and it&#x2019;s a serious public health problem (<xref ref-type="bibr" rid="B42">Ogunbode and Ogunbode, 2021</xref>). Some of the adverse pregnancy outcome i.e., miscarriage and preterm birth is associated with anaemia (<xref ref-type="bibr" rid="B49">Shen et al., 2015</xref>). Our findings show that almost 57% of pregnant women are anaemic, this study differs from the study done in Kenya led by Seteti, (<xref ref-type="bibr" rid="B50">Siteti et al., 2014</xref>), which shows that the prevalence of anemia among pregnant women was 40%, This study was consistent with studies done by Acheampong K. and Pobee RA who find that the prevalence of anemia in pregnancy to be more than 50% and 63% respectively. (<xref ref-type="bibr" rid="B3">Acheampong et al., 2018</xref>; <xref ref-type="bibr" rid="B45">Pobee et al., 2021</xref>). Detection of anemia can help identify important maternal risk factors, and in this study, there was a significant association between illiteracy level and anemia, with women without any form of education being more likely to be anaemic.</p>
<p>Women who didn&#x2019;t attend the antenatal clinic for the duration of their pregnancy were significantly associated with anemia compared to women who attended. Due to higher illiteracy levels within the pastoralist community women lack knowledge about proper iron-rich foods which may lead to anemia (<xref ref-type="bibr" rid="B27">Hussein, 2016</xref>). Iron and nutritional supplements in an integrated program can be used for the prevention and management of pregnancy-related anemia (<xref ref-type="bibr" rid="B50">Siteti et al., 2014</xref>). Different countries have shown different ways to treat anaemia in pregnancy like the use of oral iron, intravenous iron, and direct blood transfusion (<xref ref-type="bibr" rid="B5">Al et al., 2005</xref>; <xref ref-type="bibr" rid="B14">Burwick and Govindappagari, 2019</xref>; <xref ref-type="bibr" rid="B43">Omotayo et al., 2018</xref>), Lack of antenatal care among pastoralist communities may be attributed to higher illiteracy level, which is often correlated with limited access to health information and resources. Illiterate women may not understand the importance of iron-rich diets or the risks of anemia during pregnancy (<xref ref-type="bibr" rid="B47">Rai, 2018</xref>).</p>
<p>Parasitic infestation was noted among pregnant mothers in this study, this is the most important determinant of anemia and low hemoglobin level. The educational level of women significantly impacts their likelihood of having intestinal worms, as lower education correlates with higher prevalence rates. Studies indicate that women with no formal education are at greater risk for intestinal parasitic infections, including helminths, due to a lack of awareness about hygiene practices and health information necessary for prevention (<xref ref-type="bibr" rid="B19">Feleke and Jember, 2018</xref>; <xref ref-type="bibr" rid="B39">Mutalazimah and Mustikaningrum, 2020</xref>; <xref ref-type="bibr" rid="B56">Yesuf et al., 2019</xref>). Maternal education has been shown to influence not only the health of children but also the prevalence of conditions like anaemia and intestinal infections (<xref ref-type="bibr" rid="B9">Balaji et al., 2022</xref>; <xref ref-type="bibr" rid="B46">Quihui et al., 2006</xref>; <xref ref-type="bibr" rid="B6">Al-Hindi et al., 2019</xref>).</p>
<p>Screening for hepatitis virus is critical during pregnancy, hepatitis virus is a life-threatening liver disease, caused by hepatitis B and C viruses, and it&#x2019;s a major public health problem, the common mode of transmission is through perinatal vertical transmission or during early childhood (<xref ref-type="bibr" rid="B11">Biondi et al., 2020</xref>). A positive mother has up to 90% likelihood of Mother-To-Child Transmission (MTCT) if no prophylaxis is given (<xref ref-type="bibr" rid="B40">Navabakhsh et al., 2011</xref>). According to our study, approximately 8 (3.4%) of pregnant women tested positive for hepatitis B virus this is low compared to another study done in Kenya with pooled hepatitis B virus prevalence estimation of 7.8%. (<xref ref-type="bibr" rid="B35">Makokha et al., 2023</xref>). But this is consistent with the studies done in Ethiopia and Tanzania, which showed a prevalence rate of 3% (<xref ref-type="bibr" rid="B51">Tegegne et al., 2014</xref>), (<xref ref-type="bibr" rid="B36">Metaferia et al., 2016</xref>) (<xref ref-type="bibr" rid="B21">Geffert et al., 2020</xref>). Some of the arid counties in Kenya, like Marsabit, West Pokot, and Baringo have witnessed an outbreak of Malaria (<xref ref-type="bibr" rid="B44">Owino, 2018</xref>). In Kenya malaria remains a major public health problem with over 70% of the population being at risk of the infection (<xref ref-type="bibr" rid="B30">Kenya, 2016</xref>), our study finds a prevalence of 2.5% of malaria among pregnant women. Malaria parasite is among the most common and easily preventable causes of poor birth outcomes in the world, and pregnant women are three times more likely to be affected by severe malaria (<xref ref-type="bibr" rid="B33">Kovacs et al., 2015</xref>).</p>
<p>According to this study, women in monogamist marriages were significantly more likely to be anaemic, with high blood pressure, and UTI compared to women in polygamous marriages, Women in monogamous families may face challenges related to nutrition and also have limited access to diverse diets or lack awareness about iron-rich foods, and poor dietary choices can lead to anaemia, on the other hand, high blood pressure (hypertension) could be associated with stress and lifestyle factors, women in monogamous marriage may experience stress related to family responsibilities, financial pressures, or social expectations. This chronic stress can contribute to high blood pressure. On the other hand, women in polygamous marriages shared a proximity within the same household, this shared living space could increase the likelihood of exposure to similar environmental conditions. All the above factors are in line with the lower socioeconomic status of monogamous families (<xref ref-type="bibr" rid="B18">Du and Mace, 2019</xref>; <xref ref-type="bibr" rid="B15">Coast, 2006</xref>; <xref ref-type="bibr" rid="B41">Needham et al., 2021</xref>). The study findings indicated that pregnant women who are multigravida are significantly associated with urinary tract infections compared to primigravida. This suggests that the risk of UTIs during pregnancy may be higher for women who have had multiple pregnancies. This finding suggests that the risk of developing UTIs increases with the number of previous pregnancies (<xref ref-type="bibr" rid="B34">MacLean, 2001</xref>). This can also be attributed to the anatomical and physiological changes that occur with each pregnancy, these changes can lead to urinary stasis and increased susceptibility to infections. Due to physiological changes, hormonal fluctuations cause ureteral dilation and can compress the bladder, increasing the likelihood of urinary retention and infection. Present in women who had multiple pregnancies, as their bodies may be more affected by these changes (<xref ref-type="bibr" rid="B23">Graseck et al., 2023</xref>; <xref ref-type="bibr" rid="B28">Johnson et al., 2021</xref>; <xref ref-type="bibr" rid="B17">Delzell and Lefevre, 2000</xref>).</p>
<sec id="s4-1">
<title>Limitations</title>
<p>This is a cross-sectional study therefore, limitations associated with cross-sectional studies are applied to this study. We were not able to generalize these results to pregnant women in all pastoralist-occupied counties, as the women were recruited from only one sub-county.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>Clinical examination and laboratory screening are important in the management of pregnant women during pregnancy. This study provides an important finding that requires an implementation within the pastoralist communities to improve the health outcomes of pregnant women. ANC attendance within this population is very low despite recommendations passed by WHO, this shows that pastoralist women miss all opportunities for early screening and intervention of any pregnancy-complicated conditions. Anaemia, hepatitis B, syphilis, malaria parasites, intestinal parasites, and urinary tract infections were observed among the study participants. Higher illiteracy levels and not attending antenatal clinics during pregnancy were also associated with Aneamia. Therefore, fully integrated outreach programs with clinical examination, laboratory screening, and health education to empower pastoralist pregnant women should be enhanced within this community. The findings of this research can be adapted and implemented in frontier counties in Kenya and other countries occupied by pastoralists to enhance maternal healthcare and improve the outcome.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the AMREF Health Africa ESRC in Kenya (registration certificate: AMREF-ESRC P547/2018), the Marsabit Ministry of Health, and the Sub-County Health Management team. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>DG played an important role in the conceptualization and planning of the research, the outline of the analysis plan, the results interpretation, the drafting of the article, and the final approval of the version to be published. KE revised the manuscript for important content and worked on interpretation. AV and VP participated in the revision of the manuscript and contributed to the critical revision of the manuscript and the finalization of the article through intellectual reflection. All authors reviewed the results and approved the final version of the manuscript.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The data collected for this study was funded as part of the Grand Challenge Africa 2017 (Grant Nr. GCA/011/114) Seed grant through the Bill and Melinda Gates Foundation. The costs of the publication were financed by &#xda;NKP-23-4-II-PTE-2061, the New National Excellence Program of the Ministry of Culture and Innovation, the National Research, Development, and Innovation Fund, and the TKP project. -2021-EGA-10 was implemented with the support of the Hungarian National Research, Development, and Innovation Fund, within the framework of the TKP-2021-EGA support system. The authors declare that the design of the study and the collection, analysis, interpretation, and writing of the manuscript are independent of the funding bodies.</p>
</sec>
<ack>
<p>We are indebted to the pastoralist mothers from Moyale Sub-County who took part in the study. Special thanks to the data collectors and supervisors for their tremendous effort in collecting quality data from the field. Our special thanks go to the University of Pecs, Department of Health Science, for guidance and support in the publication of this paper, and to the Tempus Public Foundation for providing the Stipendium Hungaricum Scholarship.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
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