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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2024.1341625</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Dietary micronutrients intake and its effect on haemoglobin levels of pregnant women for clinic visit in the Mount Cameroon health area: a cross-sectional study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Jugha</surname> <given-names>Vanessa Tita</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Anchang</surname> <given-names>Juliana Adjem</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Sofeu-Feugaing</surname> <given-names>David Denis</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Taiwe</surname> <given-names>Germain Sotoing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Kimbi</surname> <given-names>Helen Kuokuo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name><surname>Anchang-Kimbi</surname> <given-names>Judith Kuoh</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Animal Biology and Conservation, University of Buea</institution>, <addr-line>Buea</addr-line>, <country>Cameroon</country></aff>
<aff id="aff2"><sup>2</sup><institution>International Centre for Agricultural Research in the Dry Areas, ICARDA</institution>, <addr-line>Cairo</addr-line>, <country>Egypt</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Biochemistry and Molecular Biology, University of Buea</institution>, <addr-line>Buea</addr-line>, <country>Cameroon</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Biomedical Sciences, University of Bamenda</institution>, <addr-line>Bamenda</addr-line>, <country>Cameroon</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Microbiology and Immunology, College of Medicine, Drexel University</institution>, <addr-line>Philadelphia, PA</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001"><p>Edited by: Minatsu Kobayashi, Otsuma Women's University, Japan</p></fn>
<fn fn-type="edited-by" id="fn0002"><p>Reviewed by: Hilali Abderraouf, Hassan Premier University, Morocco</p><p>Shabihul Fatma, Jazan University, Saudi Arabia</p></fn>
<corresp id="c001">&#x002A;Correspondence: Vanessa Tita Jugha, <email>jughav@yahoo.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>05</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1341625</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>11</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>04</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Jugha, Anchang, Sofeu-Feugaing, Taiwe, Kimbi and Anchang-Kimbi.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Jugha, Anchang, Sofeu-Feugaing, Taiwe, Kimbi and Anchang-Kimbi</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 id="sec1">
<title>Background</title>
<p>Nutritional deficiencies and its consequences such as anaemia are frequent among pregnant women residing in under resource settings. Hence, this study sought to investigate specific dietary micronutrient inadequacy and its effect on maternal haemoglobin levels.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>This institution based cross-sectional survey enrolled 1,014 consenting pregnant women consecutively. Data on socio-demographic, economic and antenatal characteristics were recorded using a structured questionnaire. Minimum dietary diversity for women (MDD-W) was assessed using the 24-h recall method and haemoglobin (Hb) concentration (g/dL) determined using a portable Hb metre. Significant levels between associations was set at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Among those enrolled, 40.9% were anaemic while 89.6% had inadequate dietary nutrient intake. In addition, uptake of blood supplements, haem iron, plant and animal-based foods rich in vitamin A were 71.5, 86.2, 35.5 and 12.6%, respectively. Moreover, anaemia prevalence was significantly (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) lower in women who took iron-folic acid along with food groups rich in haem iron (38.5%) or both plant and animal vitamin A (29.0%). Besides, mean maternal Hb levels was significantly (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) higher in women who consumed haem iron (11.08&#x2009;&#x00B1;&#x2009;1.35) and vitamin A food groups (11.34&#x2009;&#x00B1;&#x2009;1.30) when compared with their counterparts who did not consume haem iron (10.54&#x2009;&#x00B1;&#x2009;1.19) and vitamin A food groups (10.74&#x2009;&#x00B1;&#x2009;1.31).</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Dietary uptake of foods rich in haem-iron and vitamin A significantly improves Hb levels in Cameroonian pregnant women. Our findings underscore the importance of improving maternal nutritional awareness and counselling during antenatal period to reduce the anaemia burden.</p>
</sec>
</abstract>
<kwd-group>
<kwd>dietary diversity</kwd>
<kwd>micronutrients</kwd>
<kwd>haem iron</kwd>
<kwd>vitamin A</kwd>
<kwd>haemoglobin levels</kwd>
<kwd>pregnant women</kwd>
<kwd>Mt. Cameroon area</kwd>
<kwd>cross-sectional study</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="62"/>
<page-count count="8"/>
<word-count count="5922"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nutritional Epidemiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Micronutrients are vital to health as they ensure normal growth, metabolism and physical wellbeing (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). Although required in small amounts, the impact of their deficiency is severe (<xref ref-type="bibr" rid="ref3">3</xref>). Globally, more than 2 billion people suffer from micronutrient deficiencies, with the main being iron, zinc, iodine, vitamins A and B (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). During pregnancy, these deficiencies which results from; lack of consumption of nutrient-dense food groups, poor understanding of the importance of a diverse diet and inefficient utilisation of available micronutrients (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>) can lead to a myriad of adverse maternal and perinatal outcomes including; anaemia, increased susceptibility to infectious diseases, low birth weight, preterm birth, increased risk of maternal and neonatal mortality as well as cognitive deficit in the baby later in life (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref8">8</xref>).</p>
<p>Anaemia is a widespread public health problem that has significant consequence for human health, social development, and economic growth (<xref ref-type="bibr" rid="ref9 ref10 ref11">9&#x2013;11</xref>). According to the World Health Organization (WHO), anaemia is a condition in which the haemoglobin concentration within the red blood cells are lower than normal and consequently their oxygen carrying capacity is insufficient to meet the physiological demands of the body (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref13">13</xref>). This results in symptoms such as; body weakness, fatigue, dizziness, palpitations and shortness of breath (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>). In 2019, the prevalence rates of anaemia was estimated at 29.9% among women of reproductive ages (WRA) and 36.5% in pregnant women (<xref ref-type="bibr" rid="ref15">15</xref>). Though preventable, in pregnancy it is still one of the leading causes of maternal and neonatal morbidity and mortality (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref17">17</xref>). Apart from nutritional deficiencies of which iron deficiency is the most prevalent cause of anaemia, other conditions such as folate, zinc, vitamin A and B deficiencies, chronic inflammation, infectious diseases and inherited haemoglobin disorders can as well lead to anaemia (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref19">19</xref>).</p>
<p>Over the past decade, awareness for anaemia and its consequences for maternal and infant health has increased. For instance, in 2012, the 65th World Health Assembly (WHA) approved global targets for maternal, infant and young child nutrition with a commitment to reduce to half the prevalence of anaemia among WRA (15&#x2013;49&#x2009;years) by 2025 (<xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref21">21</xref>). Ensuing this, the WHO and United Nations Children&#x2019;s Fund (UNICEF) proposed extending this target to 2030 to align with the United Nations (UN) Sustainable Development Goals (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref22">22</xref>). With this in mind, Cameroon has been committed to curb the burden of maternal anaemia through malaria prophylaxis and haematinic supplementation (<xref ref-type="bibr" rid="ref16">16</xref>). Despite efforts, anaemia prevalence rates have not changed over the years as it is still a severe (&#x2265; 40%) health problem in WRA (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref24">24</xref>). An explanation to this high prevalence rates could be an underestimation of the role of dietary micronutrient inadequacy on anaemia. Besides, data on micronutrients are limited in the study area and are thus needed, to design and implement public health programmes targeted at reducing anaemia. Hence, this study aimed to investigate intake of dietary nutrients and its effect on maternal haemoglobin levels in the Mount Cameroon health area.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<title>Materials and methods</title>
<sec id="sec7">
<title>Study site</title>
<p>This study was conducted at the antenatal care units of various health facilities located in the Buea and Tiko Health Districts of the Mount Cameroon area. The characteristic of the study settings has been described in detail by Jugha et al. (<xref ref-type="bibr" rid="ref25">25</xref>). More so, the different health facilities in these health districts were chosen based on their accessibility as well as the localities they serve (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref26">26</xref>).</p>
<p>The tropical equatorial climate of the Mount Cameroon region is made up of a long rainy season accompanied by high rainfall (2,000&#x2013;10,000&#x2009;mm) and average temperatures conducive for agriculture, the principal economic activity in the region (<xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref28">28</xref>). Irrespective of the agricultural biodiversity, starchy staple is the most commonly consumed food group (<xref ref-type="bibr" rid="ref25">25</xref>). In addition, malaria is endemic in the area and transmission is perennial (<xref ref-type="bibr" rid="ref29">29</xref>) with <italic>Plasmodium falciparum</italic> accounting for over 90% of malaria parasite infection (<xref ref-type="bibr" rid="ref30">30</xref>). Also, anaemia prevalence among pregnant women (&#x2265; 40%) over the years in the area has not changed (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref31">31</xref>).</p>
</sec>
<sec id="sec8">
<title>Study design, and population</title>
<p>This cross-sectional survey enrolled consenting pregnant women in any trimester of gestation consecutively. Study sample size was estimated using the Cochrane formulae for cross-sectional studies based on the prevalence of anaemia (40%) in the study area (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref32">32</xref>). After adding for a 10% non-response rate (NRR) the overall number of women to be enrolled from both health district was 1,014.</p>
<p>A structured questionnaire (pre-tested) through a face-to-face interview was used to obtain maternal socio-demographic data (setting, age, marital status), educational level, household number, and antenatal clinic data (number of antenatal care visits, gestational age, parity, IPTp-SP and iron-folic acid uptake). Information relating to household wealth that is; housing type, house ownership, toilet type, possession of basic amenities (radio, car, bicycle, television, motorcycle and mobile phone) and source of drinking water were also documented. These indicators of household wealth were subjected to principal component analysis (PCA) in order to determine maternal wealth status (<xref ref-type="bibr" rid="ref33">33</xref>).</p>
</sec>
<sec id="sec9">
<title>Dietary micronutrients assessment</title>
<p>The minimum dietary diversity for women (MDD-W) questionnaire, a proxy indicator of micronutrient adequacy was used to determine maternal dietary nutrient intake (<xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref35">35</xref>). During questionnaire survey, each study respondent was requested to describe all food groups and drinks consumed day and/or night 24<bold>-</bold>h before the survey. These food groups (FGs) included: starchy staples; pulses; nuts and seeds; dairy; meat, poultry and fish; eggs; dark green leafy vegetables; vitamin A-rich fruits and vegetables; other vegetables and other fruits (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref34">34</xref>). A score of 1 was attributed to the consumption of any food item within any food group as per the FAO guidelines (<xref ref-type="bibr" rid="ref34">34</xref>). Dietary diversity score was obtained by summing up the FGs consumed among the 10 required FGs (<xref ref-type="bibr" rid="ref34">34</xref>). Participants were then categorised as having adequate dietary nutrient intake if they consumed at least 5 of more food groups a day prior to the study (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref34">34</xref>).</p>
<p>Moreover, the FGs; dark green leafy vegetables, vitamin A-rich fruits and vegetables, Meat (including organ meat), poultry, fish, eggs and milk products were further reclassified as vitamin A-rich plant foods (dark green leafy vegetables, vitamin A-rich fruits and vegetables), vitamin A-rich animal foods (organ meat, eggs and milk products) and foods rich in haem iron (meat, poultry and fish) as per the FAO guidelines (<xref ref-type="bibr" rid="ref36">36</xref>).</p>
</sec>
<sec id="sec10">
<title>Sample collection and laboratory analysis</title>
<p>Venous blood (2&#x2009;mL) was collected from each pregnant woman using sterile techniques. Maternal Hb concentration (g/dL) was determined in the field using a portable URIT<bold>-</bold>12 Hb metre (URIT Medical Electronics Co., Ltd. Guangxi, China). In this study, anaemia status was defined as Hb&#x2009;&#x003C;&#x2009;11&#x2009;g/dL for gravid women in the first and third trimester and Hb&#x2009;&#x003C;&#x2009;10.5&#x2009;g/dL for those in the second trimester of gestation (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref37">37</xref>).</p>
</sec>
<sec id="sec11">
<title>Ethical considerations</title>
<p>Ethical clearance (Ref No: 2019/967-05/UB/SG/IRB/FHS) was obtained from the Faculty of Health Science Institutional Review Board (IRB), University of Buea whereas administrative authorization was gotten from the South West Regional Delegation of Public Health, District Medical and Chief Medical Officers in charge of the health districts and medical facilities, respectively. After sensitising the women on the study objectives, potential risks and benefits, those who gave their consent signed a written informed consent form and were thus included into the study whereas, those presenting with complicated pregnancy or a history of diabetes, hypertensive disorders or pre-eclampsia were not eligible to partake in the study and were therefore, excluded. In addition, participation in the study was voluntary.</p>
</sec>
<sec id="sec12">
<title>Data analysis</title>
<p>Data was analysed using the IBM-Statistical Package for Social Sciences (SPSS) version 23. Continuous data were checked for normality and expressed as means and standard deviation (SD). Descriptive statistics such as mean, SD, frequency and percentages were used to describe data. Furthermore, the Pearson Chi<bold>-</bold>square test (&#x03C7;<sup>2</sup>) was used to evaluate the differences in proportions between uptake of iron<bold>-</bold>folic acid (IFA), haem iron, vitamin<bold>-</bold>A food groups and maternal anaemia status. In addition, comparison between the continuous variable (Hb levels) and group parameters (intake of haem iron and vitamin A food groups) was done using the student&#x2019;s paired t<bold>-</bold>test. Statistical test was two<bold>-</bold>tailed and the level of significance set at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="sec13">
<title>Results</title>
<sec id="sec14">
<title>Characteristics of the study participants</title>
<p>As shown in <xref ref-type="table" rid="tab1">Table 1</xref>, mean maternal age (&#x00B1; SD) and household size (&#x00B1; SD) of those enrolled was 26.72 (&#x00B1; 5.48) years and 4.44 (&#x00B1; 2.20) persons. Besides, over 50% of the women were married and had a household size of at least four and more members. Furthermore, most (33.9%) of the study participants were within the age group 25&#x2013;29&#x2009;years followed by those aged 19&#x2013;24&#x2009;years (30.4%; <xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Sociodemographic and economic characteristics of the women.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Total % (N)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="2">Study site</td>
</tr>
<tr>
<td align="left" valign="top">Tiko Health District</td>
<td align="center" valign="top">50.2 (509)</td>
</tr>
<tr>
<td align="left" valign="top">Buea Health District</td>
<td align="center" valign="top">49.8 (505)</td>
</tr>
<tr>
<td align="left" valign="top">Age (&#x00B1;SD) years</td>
<td align="center" valign="top">26.72&#x2009;&#x00B1;&#x2009;5.48 (15&#x2013;46)</td>
</tr>
<tr>
<td align="left" valign="top">15&#x2013;18</td>
<td align="center" valign="top">5.5 (56)</td>
</tr>
<tr>
<td align="left" valign="top">19&#x2013;24</td>
<td align="center" valign="top">30.4 (308)</td>
</tr>
<tr>
<td align="left" valign="top">25&#x2013;29</td>
<td align="center" valign="top">33.9 (344)</td>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;34</td>
<td align="center" valign="top">20.9 (212)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265; 35</td>
<td align="center" valign="top">9.3 (94)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Marital status</td>
</tr>
<tr>
<td align="left" valign="top">Unmarried</td>
<td align="center" valign="top">37.8 (383)</td>
</tr>
<tr>
<td align="left" valign="top">Married</td>
<td align="center" valign="top">62.2 (631)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Educational level</td>
</tr>
<tr>
<td align="left" valign="top">Below secondary</td>
<td align="center" valign="top">20.1 (204)</td>
</tr>
<tr>
<td align="left" valign="top">Secondary</td>
<td align="center" valign="top">53.1 (538)</td>
</tr>
<tr>
<td align="left" valign="top">Above secondary</td>
<td align="center" valign="top">26.8 (272)</td>
</tr>
<tr>
<td align="left" valign="top">Household number (&#x00B1; SD)</td>
<td align="center" valign="top">4.44&#x2009;&#x00B1;&#x2009;2.20 (1&#x2013;12)</td>
</tr>
<tr>
<td align="left" valign="top">1&#x2013;3 persons</td>
<td align="center" valign="top">38.2 (387)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265; 4 persons</td>
<td align="center" valign="top">61.8 (627)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Wealth status</td>
</tr>
<tr>
<td align="left" valign="top">Low</td>
<td align="center" valign="top">56.8 (576)</td>
</tr>
<tr>
<td align="left" valign="top">High</td>
<td align="center" valign="top">43.2 (438)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>SD, standard deviation.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<title>Antenatal care characteristics of the study participants</title>
<p>Of those enrolled, mean gestational age (&#x00B1; SD) was 27.60 (&#x00B1; 7.61) weeks. In addition, gravid women with parity 1&#x2013;2 constituted 43.3% of the study population. Besides, over 70% of the women had received blood supplements in the form of iron<bold>-</bold>folic acid. Moreover, 35.5, 12.6 and 86.2% of the women had consumed plant foods rich in vitamin A, animal foods rich in vitamin A and haem iron, respectively (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Maternal obstetric characteristics and frequency of dietary micronutrient intake.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Total % (N)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Antenatal care visits (&#x00B1; SD)</td>
<td align="center" valign="top">2.54&#x2009;&#x00B1;&#x2009;1.58 (1&#x2013;12)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264; 3</td>
<td align="center" valign="top">77.3 (784)</td>
</tr>
<tr>
<td align="left" valign="top">&#x003E;3</td>
<td align="center" valign="top">22.7 (230)</td>
</tr>
<tr>
<td align="left" valign="top">Gestational age (&#x00B1; SD) weeks</td>
<td align="center" valign="top">27.60&#x2009;&#x00B1;&#x2009;7.61 (6&#x2013;43)</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C; 27</td>
<td align="center" valign="top">44.7 (453)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265; 27</td>
<td align="center" valign="top">55.3 (561)</td>
</tr>
<tr>
<td align="left" valign="top">Parity (&#x00B1; SD)</td>
<td align="center" valign="top">1.25&#x2009;&#x00B1;&#x2009;1.34 (0&#x2013;8)</td>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="center" valign="top">38.5 (390)</td>
</tr>
<tr>
<td align="left" valign="top">1&#x2013;2</td>
<td align="center" valign="top">43.3 (439)</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2013;4</td>
<td align="center" valign="top">16.5 (167)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265; 5</td>
<td align="center" valign="top">1.8 (8)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">IPTp-SP uptake</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264; 1 dose</td>
<td align="center" valign="top">67.7 (686)</td>
</tr>
<tr>
<td align="left" valign="top">2 doses</td>
<td align="center" valign="top">20.1 (204)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265; 3 doses</td>
<td align="center" valign="top">12.2 (124)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Blood supplements uptake</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">71.5 (725)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">28.5 (289)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Anaemia status</td>
</tr>
<tr>
<td align="left" valign="top">Anaemic</td>
<td align="center" valign="top">40.9 (415)</td>
</tr>
<tr>
<td align="left" valign="top">Non-anaemic</td>
<td align="center" valign="top">59.1 (599)</td>
</tr>
<tr>
<td align="left" valign="top">MDD-W (&#x00B1; SD)</td>
<td align="center" valign="top">3.57&#x2009;&#x00B1;&#x2009;0.82 (1&#x2013;7)</td>
</tr>
<tr>
<td align="left" valign="top">Adequate dietary nutrient intake</td>
<td align="center" valign="top">10.4 (105)</td>
</tr>
<tr>
<td align="left" valign="top">Inadequate dietary nutrient intake</td>
<td align="center" valign="top">89.6 (909)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Consumed plant rich vitamin A FGs</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">35.5 (360)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">64.5 (654)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Consumed animal rich vitamin A FGs</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">12.6 (128)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">87.4 (886)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Consumed haem iron</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">86.2 (874)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">13.8 (140)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Consumed plant and animal-based vitamin A FGs</td>
</tr>
<tr>
<td align="left" valign="top">Plant based foods only</td>
<td align="center" valign="top">31.6 (320)</td>
</tr>
<tr>
<td align="left" valign="top">Animal based foods only</td>
<td align="center" valign="top">8.7 (88)</td>
</tr>
<tr>
<td align="left" valign="top">Both</td>
<td align="center" valign="top">3.9 (40)</td>
</tr>
<tr>
<td align="left" valign="top">None</td>
<td align="center" valign="top">55.8 (566)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Consumed both plant and animal vitamin A FGs</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">44.2 (448)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">55.8 (566)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>MDD-W, minimum dietary diversity for women; FGs, food groups.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec16">
<title>Association between uptake of iron-folic acid, haem iron, vitamin A foods and maternal anaemia</title>
<p>As shown in <xref ref-type="table" rid="tab3">Table 3</xref>, anaemia prevalence rates were lowest in women who took blood supplements (iron<bold>-</bold>folic acid) alongside food groups rich in haem iron (38.5%, <italic>p</italic>&#x2009;=&#x2009;0.031) as well as both plant and animal vitamin A (29.0%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) when compared with their respective contemporaries who relied on IFA only (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Association between uptake of iron-folic acid, haem iron, vitamin A foods and maternal anaemia.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Factors</th>
<th align="left" valign="top">Categories</th>
<th align="center" valign="top">Total N</th>
<th align="center" valign="top">Anaemic % (n)</th>
<th align="center" valign="top"><italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Iron-folic acid uptake</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">725</td>
<td align="center" valign="top">40.8 (296)</td>
<td align="center" valign="top" rowspan="2">0.919</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">289</td>
<td align="center" valign="top">41.2 (119)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Uptake of IFA and haem iron FGs</td>
<td align="left" valign="top">IFA only</td>
<td align="center" valign="top">108</td>
<td align="center" valign="top">53.7 (58)</td>
<td align="center" valign="top" rowspan="4">0.031</td>
</tr>
<tr>
<td align="left" valign="top">Haem iron FGs only</td>
<td align="center" valign="top">251</td>
<td align="center" valign="top">41.0 (103)</td>
</tr>
<tr>
<td align="left" valign="top">Both</td>
<td align="center" valign="top">623</td>
<td align="center" valign="top">38.5 (240)</td>
</tr>
<tr>
<td align="left" valign="top">None</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">43.8 (14)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Uptake of IFA and plant Vit. A FGs</td>
<td align="left" valign="top">IFA only</td>
<td align="center" valign="top">473</td>
<td align="center" valign="top">46.3 (219)</td>
<td align="center" valign="top" rowspan="4">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Plant vit. A FGs only</td>
<td align="center" valign="top">102</td>
<td align="center" valign="top">38.2 (39)</td>
</tr>
<tr>
<td align="left" valign="top">Both</td>
<td align="center" valign="top">258</td>
<td align="center" valign="top">30.6 (79)</td>
</tr>
<tr>
<td align="left" valign="top">None</td>
<td align="center" valign="top">181</td>
<td align="center" valign="top">43.1 (78)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Uptake of IFA and animal Vit. A FGs</td>
<td align="left" valign="top">IFA only</td>
<td align="center" valign="top">646</td>
<td align="center" valign="top">43.7 (282)</td>
<td align="center" valign="top" rowspan="4">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">Animal vit. A FGs only</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">16.3 (7)</td>
</tr>
<tr>
<td align="left" valign="top">Both</td>
<td align="center" valign="top">85</td>
<td align="center" valign="top">18.8 (16)</td>
</tr>
<tr>
<td align="left" valign="top">None</td>
<td align="center" valign="top">240</td>
<td align="center" valign="top">45.8 (110)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Uptake of IFA and combined Vit. A FGs</td>
<td align="left" valign="top">IFA only</td>
<td align="center" valign="top">417</td>
<td align="center" valign="top">49.6 (207)</td>
<td align="center" valign="top" rowspan="4">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">Plant and animal vit. A FGs only</td>
<td align="center" valign="top">134</td>
<td align="center" valign="top">32.1 (43)</td>
</tr>
<tr>
<td align="left" valign="top">Both</td>
<td align="center" valign="top">314</td>
<td align="center" valign="top">29.0 (91)</td>
</tr>
<tr>
<td align="left" valign="top">None</td>
<td align="center" valign="top">149</td>
<td align="center" valign="top">49.7 (74)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>IFA, iron-folic acid; FGs, food groups; Vit. A, vitamin A.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec17">
<title>Intake of haem iron and vitamin A food groups on haemoglobin levels</title>
<p>As illustrated on <xref ref-type="fig" rid="fig1">Figure 1</xref>, mean maternal haemoglobin (Hb) levels was significantly (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) high in women who consumed haem iron (11.08&#x2009;&#x00B1;&#x2009;1.35), plant (11.25&#x2009;&#x00B1;&#x2009;1.29) and animal foods rich in vitamin A (11.82&#x2009;&#x00B1;&#x2009;1.30) when compared with their counterparts who did not consume haem iron (10.54&#x2009;&#x00B1;&#x2009;1.19), plant (10.87&#x2009;&#x00B1;&#x2009;1.34) and animal foods rich in vitamin A (10.88&#x2009;&#x00B1;&#x2009;1.30; <xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Average maternal Hb levels <italic>Vs</italic> intake of <bold>(A)</bold> Haem iron food groups, <bold>(B)</bold> Plant vitamin A food groups, <bold>(C)</bold> Animal vitamin A food groups, <bold>(D)</bold> Combine plant and animal vitamin A food groups.</p>
</caption>
<graphic xlink:href="fnut-11-1341625-g001.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec18">
<title>Discussion</title>
<p>In Cameroon, anaemia prevalence among women is still severe (&#x2265; 40%) (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref25">25</xref>). This high prevalence rate may represent significant constraint for achieving the Global Nutrition Target endorsed by the World Health Assembly of halving anaemia prevalence among WRA by 2025 (<xref ref-type="bibr" rid="ref20">20</xref>). This study therefore aimed to evaluate dietary micronutrient intake and their effect on haemoglobin levels of pregnant Cameroonian women.</p>
<p>In order to reduce the risk of anaemia during pregnancy, the WHO recommends a daily oral dose of 60&#x2009;mg of iron along with 400&#x2009;&#x03BC;g of folic acid throughout pregnancy and as part of the routine antenatal care services (<xref ref-type="bibr" rid="ref37">37</xref>). In Cameroon, iron supplementation is the main strategy for anaemia control and prevention (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref38">38</xref>). In addition, several studies have shown that iron-folic acid uptake during this critical period prevents maternal anaemia while reducing the risk of preterm labour, low birthweight, premature delivery, postpartum haemorrhage (<xref ref-type="bibr" rid="ref39 ref40 ref41">39&#x2013;41</xref>). The observed anaemia prevalence rate (40.9%) among study respondents in the study area despite uptake of iron-folic acid (71.5%) might be due to poor adherence, an aspect this study did not assess. Poor adherence to iron supplements may be as a result of inadequate supply of iron tablets, poor utilisation of prenatal health-care services, gastrointestinal discomfort accompanied with the drug, inability to purchase the tablet, forgetfulness, poor counselling by health care providers regarding the usefulness of the tablet as well as maternal knowledge and beliefs surrounding the tablet (<xref ref-type="bibr" rid="ref42 ref43 ref44">42&#x2013;44</xref>). Besides, this study further showed that combine uptake of iron-folic acid with a diet rich in haem iron or vitamin A food groups is more efficient in reducing the burden of anaemia than iron-folic acid taken alone.</p>
<p>Although diet holds great importance for maternal and neonatal health, inadequate proportions are often consumed most especially by women residing in low<bold>-</bold>and<bold>-</bold>middle income countries and study participants in the Mount Cameroon area were no exception (89.6%) (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref46">46</xref>). According to the WHO, the most common micronutrient deficiencies are; iron, vitamin A and iodine deficiencies (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref47">47</xref>). In this study, 86.2% of the women consumed foods rich in iron specifically haem iron a day before the survey. Dietary iron is present in two forms that is haem iron, which is obtained from animal products such as meat, fish and poultry whereas non-haem iron is obtained from cereals, fruits and vegetables (<xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref49">49</xref>). Furthermore, it was observed in this study that consumption of haem iron was associated with increased haemoglobin levels of pregnant women. This finding is in line with observations from Jakarta (<xref ref-type="bibr" rid="ref50">50</xref>), Ethiopia (<xref ref-type="bibr" rid="ref51">51</xref>) and Pakistan (<xref ref-type="bibr" rid="ref52">52</xref>). The increased haemoglobin levels among women who consumed meat, fish and poultry might be due to the fact that, foods rich in haem iron are absorbed from the gut with greater efficiency thus, making their iron content (the main component of haemoglobin) readily available for red blood cell production (<xref ref-type="bibr" rid="ref51">51</xref>, <xref ref-type="bibr" rid="ref53">53</xref>).</p>
<p>Adequate vitamin A during pregnancy is essential for maternal and infant health (<xref ref-type="bibr" rid="ref54">54</xref>, <xref ref-type="bibr" rid="ref55">55</xref>). Dietary vitamin A is available from two main sources that is, plants (provitamin A) and animals (preformed vitamin A) (<xref ref-type="bibr" rid="ref55">55</xref>). Animal foods rich in vitamin A include; eggs, organ meat and dairy products while dark green leafy vegetables, vitamin A rich fruits and vegetables are plant foods rich in vitamin A (<xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref56">56</xref>, <xref ref-type="bibr" rid="ref57">57</xref>). In this survey, 35.5 and 12.6% of the respondents enrolled consumed plant and animal food groups rich in vitamin A, respectively. The observed low intake of vitamin A animal food groups among study respondents might be due to the inability of the women to purchase eggs, organ meat and milk products. Furthermore, intake of foods rich in vitamin A was associated with maternal haemoglobin levels. Similar correlations have been described elsewhere (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref58 ref59 ref60">58&#x2013;60</xref>). Inadequate vitamin A intake is thought to cause anaemia through; reduction of the body&#x2019;s immune response to infectious diseases which in turn leads to anaemia of infection, modulation of erythropoiesis and iron metabolism (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref58">58</xref>, <xref ref-type="bibr" rid="ref61">61</xref>). Besides, vitamin A deficiency is known to increase the risk of iron deficient erythropoiesis and subsequently anaemia by altering absorption, storage, release and transport of iron to the bone marrow (<xref ref-type="bibr" rid="ref62">62</xref>). This phenomenon might explain the low Hb levels observed among those who did not consume foods rich in vitamin A.</p>
<p>The current study had some limitations. Firstly, its cross-sectional nature could not establish the cause<bold>-</bold>and<bold>-</bold>effect relationship between dietary components and anaemia. In addition, this study did not measure biomarkers of micronutrient deficiency and other indicators of anaemia such as; mean corpuscular haemoglobin concentration (MCHC), mean corpuscular volume (MCV), reticulocyte count. In contrast, this study has as strength in its sample size as well as minimised recall bias by employing the use of the 24<bold>-</bold>h recall method to assess dietary diversity. Moreover, this study further demonstrates the effect haem iron and vitamin A rich food groups has on haemoglobin levels. Besides, this study sets the basis for future works determining the association and comparative influence of iron and vitamin A on Hb levels.</p>
</sec>
<sec sec-type="conclusions" id="sec19">
<title>Conclusion</title>
<p>Overall, the prevalence of anaemia (40.9%) was high despite adequate uptake of iron supplement (71.5%). Moreover, dietary diversity was inadequate (89.6%). In addition, anaemia prevalence rate was significantly (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) lower in women who took IFA coupled with a diet rich in haem iron (38.5%) and vitamin A (29.0%). Furthermore, mean haemoglobin levels were significantly (&#x003C; 0.001) higher in women who consumed haem iron (11.08&#x2009;&#x00B1;&#x2009;1.35) and vitamin-A (11.34&#x2009;&#x00B1;&#x2009;1.30) rich foods a day before the survey when compared with their respective contemporaries who did not. Thus, apart from focusing on iron<bold>-</bold>folic acid supplementation alone to curb the burden of maternal anaemia, public health authorities and health care givers should improve maternal nutritional awareness on the importance of a diversified diet as this would in turn enhance uptake of foods rich in haematopoietic nutrients thereby reducing anaemia prevalence rate.</p>
</sec>
<sec sec-type="data-availability" id="sec20">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec21">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Institutional Review Board (IRB), Faculty of Health Science, University of Buea, Cameroon. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin.</p>
</sec>
<sec sec-type="author-contributions" id="sec22">
<title>Author contributions</title>
<p>VJ: Formal analysis, Conceptualization, Data curation, Investigation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JA: Formal analysis, Validation, Writing &#x2013; review &#x0026; editing. DS-F: Formal analysis, Validation, Writing &#x2013; review &#x0026; editing. GT: Formal analysis, Validation, Writing &#x2013; review &#x0026; editing. HK: Conceptualization, Supervision, Validation, Writing &#x2013; review &#x0026; editing. JA-K: Conceptualization, Supervision, Validation, Writing &#x2013; review &#x0026; editing.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec23">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack>
<p>The authors are grateful to all the pregnant women who gave their consent to partake in the study. We are equally thankful to the administrative staffs, midwives, nurses and laboratory technicians of the different health facilities where this study was conducted for their collaboration and assistance.</p>
</ack>
<sec sec-type="COI-statement" id="sec24">
<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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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