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  <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">2160-8806</issn>
      <issn pub-type="ppub">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.2025.156078</article-id>
      <article-id pub-id-type="publisher-id">ojog-143503</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Medicine</subject>
          <subject>Healthcare</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Serum Magnesium among Women with Preterm Labour in a Tertiary Health Institution in South-East Nigeria: A Comparactive Study</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Ogoke</surname>
            <given-names>Nwakamma Chisom</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Njoku</surname>
            <given-names>Amarachukwu Nnaemezie</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Ogoke</surname>
            <given-names>Ogechukwu Jane</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Okorochukwu</surname>
            <given-names>Bartholomew Chukwunonye</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Department of Obstetrics and Gynaecology, Federal Medical Centre, Owerri, Nigeria </aff>
      <aff id="aff2"><label>2</label> Department of Obstetrics and Gynaecology, University of Calabar Teaching Hospital, Calabar, Nigeria </aff>
      <aff id="aff3"><label>3</label> Department of Nursing Sciences, Imo State University Owerri, Nigeria </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors declare no conflicts of interest regarding the publication of this paper.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>13</day>
        <month>06</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>06</month>
        <year>2025</year>
      </pub-date>
      <volume>15</volume>
      <issue>06</issue>
      <fpage>963</fpage>
      <lpage>971</lpage>
      <history>
        <date date-type="received">
          <day>01</day>
          <month>10</month>
          <year>2024</year>
        </date>
        <date date-type="accepted">
          <day>21</day>
          <month>06</month>
          <year>2025</year>
        </date>
        <date date-type="published">
          <day>24</day>
          <month>06</month>
          <year>2025</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2025 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2025</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/ojog.2025.156078">https://doi.org/10.4236/ojog.2025.156078</self-uri>
      <abstract>
        <p><bold>Background</bold><bold>:</bold>Preterm delivery is a major health concern. It is the leading cause of perinatal morbidity and mortality. Besides varied aetiology, it may be due to alteration in basic biochemical function of the body at cellular level making emphasis on trace elements especially Magnesium. <bold>Objective</bold><bold>:</bold>The objective of this study is to determine the relationship between maternal serum magnesium levels and preterm labour. <bold>Methodology</bold>: This is a cross sectional comparative study of 70 women presenting at the labour ward of Federal Medical Centre Owerri with spontaneous preterm labour (cases) and 70 women with uncomplicated pregnancies at term(controls). Relevant clinical data were obtained from participants using a proforma, after which blood samples were collected and serum magnesium levels were determined using a direct method (calmagite method). The data obtained was analyzed using the statistical package for social science (SPSS) for Windows version 22. The results were expressed in mean ± standard deviation and evaluated with unpaired student “t” test, chi square test, ANOVA and post-HOC test. Significance was defined as P values &lt; 0.05. <bold>Results</bold><bold>:</bold>Patients with preterm labour had a highly significantly depressed serum magnesium level (mean 1.7 mg/dl ± 0.33 vs. 2.05 ± 0.26 mg/dl) (p &lt; 0.001) as compared to women at term. It was found that there was a highly significant (p &lt; 0.001) difference between mean serum magnesium levels in patients of low socio-economic class (1.69 mg/dl ± 0.29) and those of other social classes (high social class = 1.99 mg/dl ± 0.31, middle class = 2.02 mg/dl ± 0.29). There was also a statistically significant relationship (p = 0.027) between low magnesium levels and maternal age above 35 years. This study also showed that patients belonging to the middle and low socio-economic classes were 3.4 and 4.5 times more likely to have preterm labour. Also those above 35 years were 1.2 times more likely to have preterm labour. <bold>Conclusion</bold><bold>:</bold>Low serum magnesium level is associated with preterm onset of labour hence magnesium supplementation in pregnancy is recommended especially for those of low social class and advanced maternal age.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Preterm Labour</kwd>
        <kwd>Serum Magnesium</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Preterm delivery is the leading cause of perinatal morbidity and mortality [<xref ref-type="bibr" rid="B1">1</xref>][<xref ref-type="bibr" rid="B2">2</xref>]. Fifteen million children each year are born preterm [<xref ref-type="bibr" rid="B3">3</xref>]. World Health Organization (WHO) defines preterm labour as onset of labour before 37 completed weeks (259 days) of gestation [<xref ref-type="bibr" rid="B3">3</xref>][<xref ref-type="bibr" rid="B4">4</xref>]. The burden of preterm delivery is disproportionately concentrated in Asia and Africa, where about 85% of all preterm births occur (54% and 31% respectively) [<xref ref-type="bibr" rid="B5">5</xref>][<xref ref-type="bibr" rid="B6">6</xref>]. In Nigeria, preterm babies account for 40-60% of perinatal deaths [<xref ref-type="bibr" rid="B7">7</xref>]-[<xref ref-type="bibr" rid="B9">9</xref>]. In addition, preterm delivery has long term consequences such as impaired neuro-developmental function, cerebral palsy, learning impairment and visual disorders [<xref ref-type="bibr" rid="B10">10</xref>].</p>
      <p>Preterm labour is a syndrome with a variety of causes which can be classified into two broad subtypes: Spontaneous preterm birth (spontaneous onset of labour or following premature rupture of membranes (PROM) and provider initiated preterm birth (defined as induction of labour or elective caesarean birth before 37 completed weeks of gestation for maternal or fetal indications or other non-medical reasons) [<xref ref-type="bibr" rid="B11">11</xref>]. In 50% of cases the cause of spontaneous preterm labour is unknown although several potential risk factors have been identified [<xref ref-type="bibr" rid="B12">12</xref>]. The main one is premature rupture of membranes, and others are multiple pregnancy, genital tract infection, polyhydramnios, cervical incompetence, antepartum haemorrhage, fetal and uterine anomalies, anemia, and smoking. It is also related to socio-economic status and geographic location [<xref ref-type="bibr" rid="B13">13</xref>]-[<xref ref-type="bibr" rid="B15">15</xref>].</p>
      <p>Besides varied aetiology of preterm labour, it may be due to alteration in basic biochemical functions of the body at cellular level with emphasis on trace elements, of which magnesium being one of them is a subject of interest in recent times [<xref ref-type="bibr" rid="B16">16</xref>]. Moreover, the final common pathway of all the pathophysiologic mechanisms of spontaneous preterm labour is calcium mediated uterine contraction which is inhibited by magnesium. Magnesium is the fourth most common cation in the body and the second most common intracellular cation [<xref ref-type="bibr" rid="B17">17</xref>]. It has a fundamental role as a co-factor in more than 300 enzymatic reactions in the body [<xref ref-type="bibr" rid="B12">12</xref>][<xref ref-type="bibr" rid="B17">17</xref>]. It is also involved in several processes, including hormone receptor binding, gating of calcium channel, muscle contraction, neuronal activity, cardiac excitability and neurotransmitter release [<xref ref-type="bibr" rid="B17">17</xref>][<xref ref-type="bibr" rid="B18">18</xref>]. Many of these actions, are attributed to its calcium antagonism [<xref ref-type="bibr" rid="B17">17</xref>][<xref ref-type="bibr" rid="B18">18</xref>].</p>
      <p>Studies have reported a fall in magnesium during pregnancy [<xref ref-type="bibr" rid="B12">12</xref>][<xref ref-type="bibr" rid="B19">19</xref>][<xref ref-type="bibr" rid="B20">20</xref>]. A significant decline has been reported by various studies in cases of preterm labour [<xref ref-type="bibr" rid="B12">12</xref>][<xref ref-type="bibr" rid="B16">16</xref>][<xref ref-type="bibr" rid="B21">21</xref>][<xref ref-type="bibr" rid="B22">22</xref>]. Magnesium supplementation have been recommended for prevention of preterm labour as well as preeclampsia, low birth weight and other maternal, fetal, neonatal and paediatric consequences which may last throughout life [<xref ref-type="bibr" rid="B21">21</xref>]-[<xref ref-type="bibr" rid="B25">25</xref>].</p>
      <p>The aim of this study is to determine the relationship between maternal serum magnesium levels and preterm delivery in our environment. The result of this study can help to reduce the high morbidity and mortality related to preterm delivery. </p>
    </sec>
    <sec id="sec2">
      <title>2. Methodology</title>
      <p>This was a cross sectional comparative study carried out in Federal Medical Centre Owerri, South-east Nigeria between March, 2016 and February, 2017. The study included 70 pregnant women presenting with idiopathic preterm labour as cases, and 70 pregnant women at term who are not in labour. Approval for the study protocol was granted by the Health Research Ethics Committee of the Federal Medical Centre, Owerri. All patients who met the inclusion criteria were recruited after informed written consent was obtained. Structured questionnaire was used to obtain socio-demographic data and relevant clinical data. </p>
      <sec id="sec2dot1">
        <title>2.1. Inclusion Criteria</title>
        <p>Women presenting to Federal Medical Center Owerri with singleton pregnancies and gave consent to participate in the study. Primigravid and multiparous women who met the inclusion criteria were enrolled. Their gestational ages were calculated from the first day of their last menstrual period or an early ultrasound scan for those unsure of their dates.</p>
        <p>Cases: women with spontaneous preterm labour (between 28 and less than 37 completed weeks’ gestation) and had preterm deliveries.</p>
        <p>Controls: women with uncomplicated pregnancies at term (37 completed weeks to less than 42 weeks).</p>
      </sec>
      <sec id="sec2dot2">
        <title>2.2. Exclusion Criteria</title>
        <p>For cases: pregnant women known to have high risk factor(s) for preterm labour will be excluded from the study as follows;</p>
        <p>a) Patients with premature rupture of membrane.</p>
        <p>b) Women with multiple pregnancy.</p>
        <p>c) Women with preeclampsia, polyhydramnios, oligohydramnios, congenital anomalies.</p>
        <p>d) Women with history of diabetes, Human Immunodeficiency Virus, significant intercurrent infection or other illness.</p>
        <p>e) Women that have received any form of magnesium therapy prior to contact.</p>
        <p>f) Women with a previous history of preterm labour.</p>
        <p>g) Women unsure of their dates and don’t have an early ultrasound scan.</p>
        <p>h) Women who refused consent to participate in the study.</p>
        <p>For controls: </p>
        <p>a) Women who refused consent to participate in the study.</p>
        <p>b) Women unsure of their dates and don’t have an early ultrasound scan.</p>
        <p>c) Women that have received any form of magnesium therapy prior to contact.</p>
        <p>d) Women with history of diabetes, Human Immunodeficiency Virus, significant intercurrent infection or other illness.</p>
        <p>e) Women with preeclampsia, polyhydramnios, oligohydramnios, congenital anomalies.</p>
        <p>f) Women with multiple pregnancy.</p>
      </sec>
      <sec id="sec2dot3">
        <title>2.3. Sample Collection</title>
        <p>A total volume of eight milliliters of venous blood was collected from the antecubital vein without stasis and dispensed into a plastic vacuum plain bottle. Blood in the plain bottle was allowed to clot and then centrifuged at 3000 rpm for ten minutes and the serum was aspirated and dispensed into plain tubes and stored at −20˚C until the time of analysis. </p>
        <p>Five milliliters of venous blood were collected from the antecubital vein without a tourniquet and dispensed into a plastic vacuum plain bottle. Blood in the plain bottle was allowed to clot and then centrifuged at 3000 rpm for ten minutes and the serum aspirated and dispensed into plain tubes and stored at −20˚C until the time of analysis. </p>
      </sec>
      <sec id="sec2dot4">
        <title>2.4. Methodology</title>
        <p>The serum magnesium level was then determined by direct measurement (calmagite method) using the kit manufactured by Teco Diagnostics, California USA, which defines adult reference range as 1.4 - 2.5 millequivalent per litre.</p>
      </sec>
      <sec id="sec2dot5">
        <title>2.5. Statistical Analysis</title>
        <p>Statistical analysis was performed using SPSS version 22. The data were expressed as mean ± standard deviation and evaluated with unpaired students “t” test, chi square test, ANOVA and post-HOC test. A logistic regression analysis was used to predict the roles of maternal age and social class as risk factors for preterm labour. “p” value of &lt; 0.05 will considered as significant and 0.001 highly significant.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>3. Results</title>
      <p><bold>Table</bold><bold>1</bold> shows the socio-demographic characteristics of participants. The mean and standard deviation (Mean ± SD) of age in the case and control groups were 31.1 ± 4.12 and 31.09 ± 4.70 respectively. Social class and booking status differed significantly between the case and control groups P = 0.03 and &lt;0.01, respectively.</p>
      <p>Distribution of the participants by serum magnesium levels (<bold>Table</bold><bold>2</bold>) showed that hypomagnesaemia (<italic>i.e.</italic><italic>,</italic> Mg<sup>++</sup> &lt; 1.8 mg/dl) occurred more significantly among the case group 75.9% compared to the control group 24.1% (p value &lt; 0.001). A comparison of the mean serum magnesium for the cases and controls is shown in <bold>Table</bold><bold>3</bold>. The mean serum magnesium level for the cases, 1.79 ± 0.33 was significantly lower than mean for controls, 2.05 ± 0.26 (P-value ≤ 0.001). </p>
      <p><bold>Table</bold><bold>1.</bold> Distribution by socio-demographic characteristics of subjects.</p>
      <table-wrap id="tbl1">
        <label>Table 1</label>
        <table>
          <tbody>
            <tr>
              <td>Characteristics</td>
              <td>Total</td>
              <td>Case (Preterm labour)N (%)</td>
              <td>Control (Term labour)N (%)</td>
              <td>P-Value</td>
            </tr>
            <tr>
              <td>Age</td>
              <td>
              </td>
              <td>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>20 - 24</td>
              <td>4</td>
              <td>0 (0.0)</td>
              <td>4 (100.0)</td>
              <td rowspan="6">0.924</td>
            </tr>
            <tr>
              <td>25 - 29</td>
              <td>54</td>
              <td>34 (63.0)</td>
              <td>20 (37.0)</td>
            </tr>
            <tr>
              <td>30 - 34</td>
              <td>43</td>
              <td>15 (34.9)</td>
              <td>28 (65.1)</td>
            </tr>
            <tr>
              <td>35 - 39</td>
              <td>37</td>
              <td>21 (56.8)</td>
              <td>16 (43.2)</td>
            </tr>
            <tr>
              <td>≥40</td>
              <td>100</td>
              <td>0 (0.0)</td>
              <td>2 (100.0)</td>
            </tr>
            <tr>
              <td>
                <bold>Mean</bold>
                <bold>±</bold>
                <bold>SD (years</bold>
                )
              </td>
              <td>
              </td>
              <td>
                <bold>31.16</bold>
                <bold>±</bold>
                <bold>4.12</bold>
              </td>
              <td>
                <bold>31.09</bold>
                <bold>±</bold>
                <bold>4.70</bold>
              </td>
            </tr>
            <tr>
              <td>Parity</td>
              <td>
              </td>
              <td>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Primigravidae</td>
              <td>40</td>
              <td>20 (50.0)</td>
              <td>20 (50.0)</td>
              <td rowspan="4">0.872</td>
            </tr>
            <tr>
              <td>Primipara</td>
              <td>28</td>
              <td>12 (42.9)</td>
              <td>16 (57.1)</td>
            </tr>
            <tr>
              <td>Multipara</td>
              <td>63</td>
              <td>33 (52.4)</td>
              <td>30 (47.6)</td>
            </tr>
            <tr>
              <td>Grand multipara</td>
              <td>8</td>
              <td>4 (50.0)</td>
              <td>4 (50.0)</td>
            </tr>
            <tr>
              <td>Social class</td>
              <td>
              </td>
              <td>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Upper class</td>
              <td>40</td>
              <td>11 (27.5)</td>
              <td>29 (72.5)</td>
              <td rowspan="3">0.03*</td>
            </tr>
            <tr>
              <td>Middle</td>
              <td>62</td>
              <td>35 (56.5)</td>
              <td>27 (43.5)</td>
            </tr>
            <tr>
              <td>Lower</td>
              <td>38</td>
              <td>24 (63.2)</td>
              <td>14 (36.8)</td>
            </tr>
            <tr>
              <td>Booking status</td>
              <td>
              </td>
              <td>
              </td>
              <td>
              </td>
              <td>
              </td>
            </tr>
            <tr>
              <td>Booked</td>
              <td>127</td>
              <td>57 (44.9)</td>
              <td>70 (55.1)</td>
              <td rowspan="2">&lt;0.01*</td>
            </tr>
            <tr>
              <td>Unbooked</td>
              <td>13</td>
              <td>13 (100.0)</td>
              <td>0 (0.0)</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p><bold>Table</bold><bold>2</bold><bold>.</bold> Distribution by serum magnesium levels of the patients for cases and controls.</p>
      <table-wrap id="tbl2">
        <label>Table 2</label>
        <table>
          <tbody>
            <tr>
              <td>Serum magnesium (mg/dl)</td>
              <td>Total</td>
              <td>Cases (n = 70)N (%)</td>
              <td>Controls (n = 70)N (%)</td>
              <td>P-value</td>
            </tr>
            <tr>
              <td>&lt;1.8 mg/dl</td>
              <td>58</td>
              <td>44 (75.9)</td>
              <td>14 (24.1)</td>
              <td>&lt;0.001*</td>
            </tr>
            <tr>
              <td>≥1.8 mg/dl</td>
              <td>82</td>
              <td>26 (31.7)</td>
              <td>56 (68.3)</td>
              <td>
              </td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p><bold>Table</bold><bold>3.</bold> Comparison of mean serum magnesium levels between cases and controls.</p>
      <table-wrap id="tbl3">
        <label>Table 3</label>
        <table>
          <tbody>
            <tr>
              <td rowspan="2">Group</td>
              <td rowspan="2">No of patients</td>
              <td colspan="5">Serum magnesium levels(mg/dl)</td>
            </tr>
            <tr>
              <td>Range</td>
              <td>Mean</td>
              <td>SD</td>
              <td>‘t’</td>
              <td>P-value</td>
            </tr>
            <tr>
              <td>Group I (cases)</td>
              <td>70</td>
              <td>1.46 - 2.44</td>
              <td>1.79</td>
              <td>± 0.33</td>
              <td>4.816</td>
              <td>&lt;0.001*</td>
            </tr>
            <tr>
              <td>Group II (controls)</td>
              <td>70</td>
              <td>1.21 - 2.81</td>
              <td>2.05</td>
              <td>± 0.26</td>
              <td>
              </td>
              <td>
              </td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>Serum magnesium levels were compared for various socio-economic classes using the one-way ANOVA with post-HOC test (<bold>Table</bold><bold>4</bold> and <bold>Table</bold><bold>5</bold>). The difference in serum magnesium levels between high socio-economic class (1.99 mg/dl ± 0.31) and low socio-economic class (1.69 mg/dl ± 0.29) was significant (p ≤ 0.001). Also, serum magnesium levels were significantly higher in the middle socio-economic class (2.02 mg/dl ± 0.29) than in the low socio-economic class (1.69 mg/dl ± 0.2) (p ≤ 0.001). </p>
      <p><bold>Table</bold><bold>4.</bold> Relationship between serum magnesium and social class.</p>
      <table-wrap id="tbl4">
        <label>Table 4</label>
        <table>
          <tbody>
            <tr>
              <td rowspan="2">Social class</td>
              <td colspan="5">Total serum magnesium level</td>
            </tr>
            <tr>
              <td>N = 140</td>
              <td>Mean ± SD</td>
              <td>Min</td>
              <td>Max</td>
              <td>P-value</td>
            </tr>
            <tr>
              <td>Higher</td>
              <td>40</td>
              <td>1.99 ± 0.3</td>
              <td>1.51</td>
              <td>2.44</td>
              <td rowspan="3">&lt;0.001*</td>
            </tr>
            <tr>
              <td>Middle</td>
              <td>62</td>
              <td>2.02 ± 0.29</td>
              <td>1.41</td>
              <td>2.81</td>
            </tr>
            <tr>
              <td>Lower</td>
              <td>38</td>
              <td>1.69 ± 0.29</td>
              <td>1.21</td>
              <td>2.28</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p><bold>Table</bold><bold>5.</bold> Comparative analysis of serum magnesium levels in pregnant women between different socio-economic classes.</p>
      <table-wrap id="tbl5">
        <label>Table 5</label>
        <table>
          <tbody>
            <tr>
              <td rowspan="2">Socio-economic class</td>
              <td rowspan="2">No of cases</td>
              <td colspan="3">Serum magnesium level</td>
              <td>P-value</td>
            </tr>
            <tr>
              <td>Range</td>
              <td>Mean</td>
              <td>SD</td>
              <td>
              </td>
            </tr>
            <tr>
              <td>High Vs</td>
              <td>40</td>
              <td>1.51 - 2.44</td>
              <td>1.99</td>
              <td>± 0.31</td>
              <td rowspan="2">0.819</td>
            </tr>
            <tr>
              <td>Middle</td>
              <td>62</td>
              <td>1.41 - 2.81</td>
              <td>2.02</td>
              <td>± 0.29</td>
            </tr>
            <tr>
              <td>Middle Vs</td>
              <td>62</td>
              <td>1.41 - 2.81</td>
              <td>2.02</td>
              <td>± 0.29</td>
              <td rowspan="2">&lt;0.001</td>
            </tr>
            <tr>
              <td>Lower</td>
              <td>38</td>
              <td>1.21 - 2.28</td>
              <td>1.69</td>
              <td>± 0.29</td>
            </tr>
            <tr>
              <td>Higher Vs</td>
              <td>40</td>
              <td>1.51 - 2.44</td>
              <td>1.99</td>
              <td>± 0.31</td>
              <td rowspan="2">&lt;0.001</td>
            </tr>
            <tr>
              <td>Lower</td>
              <td>38</td>
              <td>1.21 - 2.28</td>
              <td>1.69</td>
              <td>± 0.29</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p><bold>Table</bold><bold>6</bold> shows the distribution by age of patients for mean serum Magnesium levels. The mean serum Magnesium level was significantly higher in age groups 20 - 24 (2.19 mg/dl ± 0.06) (P = 0.027). </p>
      <p><bold>Table</bold><bold>6.</bold> Distribution by age of subjects for mean serum magnesium levels. </p>
      <table-wrap id="tbl6">
        <label>Table 6</label>
        <table>
          <tbody>
            <tr>
              <td>Maternal age</td>
              <td>N = 140</td>
              <td>Mean ± SD (mg/dl)</td>
              <td>P-value</td>
            </tr>
            <tr>
              <td>20 - 24</td>
              <td>4</td>
              <td>2.19 ± 0.06</td>
              <td rowspan="5">0.027*</td>
            </tr>
            <tr>
              <td>25 - 29</td>
              <td>54</td>
              <td>1.89 ± 0.38</td>
            </tr>
            <tr>
              <td>30 - 34</td>
              <td>43</td>
              <td>2.003 ± 0.29</td>
            </tr>
            <tr>
              <td>35 - 39</td>
              <td>37</td>
              <td>1.83 ± 0.26</td>
            </tr>
            <tr>
              <td>≥40</td>
              <td>2</td>
              <td>1.84 ± 0.14</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    <sec id="sec4">
      <title>4. Discussion</title>
      <p>Preterm labour is associated with perinatal mortality and morbidity. The exact aetiology of preterm labour is still unknown though alterations in trace elements especially magnesium has been linked with preterm labour [<xref ref-type="bibr" rid="B12">12</xref>][<xref ref-type="bibr" rid="B25">25</xref>].</p>
      <p>In this study, the mean magnesium level was 1.79 ± 0.33 mg/dl for the patients with preterm labour and 2.05 ± 0.26 for the women at term. The mean difference was found to be statistically highly significant (p &lt; 0.001). This result is found to be similar to and supported by findings of other investigators. In a study by Sahid A.R, and Co-workers, serum magnesium level in those women with preterm labour was found to be 1.87 ± 0.34 and 2.1 ± 0.4 in those presenting with labour at term [<xref ref-type="bibr" rid="B12">12</xref>]. Okunade and Co-workers in Lagos Nigeria found that the patients with preterm labour had significantly depressed serum magnesium level and the mean was 1.73 ± 0.4 [<xref ref-type="bibr" rid="B25">25</xref>]. They also found the relative risk of preterm labour to be 1.83 times among the patients with serum magnesium levels less than 1.6 mg/dl [<xref ref-type="bibr" rid="B25">25</xref>]. A recent study by Kamal <italic>et al.</italic>, the mean serum magnesium level in preterm labour cases to be 1.4 mg/dl ± 0.22 and concluded that estimation of serum magnesium might prove to be a valuable tool in predicting the preterm onset of labour [<xref ref-type="bibr" rid="B26">26</xref>]. In the present study, hypomagnesaemia was significantly higher among the patients with preterm labour as compared to pregnant women at term. Similar findings were reported by other investigators [<xref ref-type="bibr" rid="B12">12</xref>][<xref ref-type="bibr" rid="B16">16</xref>][<xref ref-type="bibr" rid="B25">25</xref>][<xref ref-type="bibr" rid="B26">26</xref>]. </p>
      <p>The present study found that magnesium was significantly lower among advance maternal age and lower social class. Cunningham <italic>et al.</italic> reported similar findings [<xref ref-type="bibr" rid="B27">27</xref>]. Kamal <italic>et al.</italic> also showed that low serum magnesium level was found in patients belonging to the low socio-economic status, thus relating it to a dietary deficiency [<xref ref-type="bibr" rid="B26">26</xref>]. In contrast, in a study in Lagos, Nigeria, there was no relationship between preterm labour, maternal age and socio-economic status [<xref ref-type="bibr" rid="B25">25</xref>]. This disparity may be attributable to dietary differences in the environment studied. </p>
    </sec>
    <sec id="sec5">
      <title>5. Conclusion</title>
      <p>Most available interventions for preterm labour in our environment aim at stopping an ongoing labour process and these are not effective in reducing morbidity and mortality associated with this condition. The findings of this study support that there’s an association between hypomagnesaemia and idiopathic preterm labour hence the need for prophylactic therapy (consumption of magnesium rich diet and/or oral magnesium supplementation) for pregnant women at high risk of preterm labour. </p>
    </sec>
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