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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2017.00163</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Blood Lead Levels among Children in Yaound&#x000E9; Cameroon</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Monebenimp</surname> <given-names>Francisca</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/455716"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Kuepouo</surname> <given-names>Gilbert</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x0002A;</xref>
<uri xlink:href="http://frontiersin.org/people/u/424891"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chelo</surname> <given-names>David</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Anatole</surname> <given-names>Pieme Constant</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kany Bissek</surname> <given-names>Anne-C&#x000E9;cile Zoung</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Gottesfeld</surname> <given-names>Perry</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/223227"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Faculty of Medicine and Biom&#x000E9;dical Sciences (FMBS), Department of Public Health, Service of Pediatrics, University Teaching Hospital of Yaound&#x000E9;</institution>, <addr-line>Yaound&#x000E9;</addr-line>, <country>Cameroon</country></aff>
<aff id="aff2"><sup>2</sup><institution>Centre de Recherche et d&#x02019;Education pour le D&#x000E9;veloppement (CREPD)</institution>, <addr-line>Yaound&#x000E9;</addr-line>, <country>Cameroon</country></aff>
<aff id="aff3"><sup>3</sup><institution>Occupational Knowledge International</institution>, <addr-line>San Francisco, CA</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Alesia Coralie Ferguson, University of Arkansas for Medical Sciences, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Youssef Oulhote, Harvard University, United States; Joseph Paul Bressler, Kennedy Krieger Institute, United States</p></fn>
<corresp content-type="corresp" id="cor1">&#x0002A;Correspondence: Gilbert Kuepouo, <email>kuepouo&#x00040;yahoo.com</email></corresp>
<fn fn-type="other" id="fn001"><p>Specialty section: This article was submitted to Environmental Health, a section of the journal Frontiers in Public Health</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>07</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>5</volume>
<elocation-id>163</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>03</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>06</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Monebenimp, Kuepouo, Chelo, Anatole, Kany Bissek and Gottesfeld.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Monebenimp, Kuepouo, Chelo, Anatole, Kany Bissek and Gottesfeld</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) or licensor 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>
<p>Blood lead levels (BLLs) are a useful indication of a population exposure to lead from environmental sources. No previous published study had reported BLLs in Cameroon. Our objective is to characterize exposure levels in children to inform policymakers of potential lead exposure sources. We tested the BLLs of 147 children aged 12&#x02009;months to 6&#x02009;years residing in Yaound&#x000E9;, Cameroon, and conducted an extensive questionnaire with their parents or guardians to characterize potential exposure sources. The geometric mean BLL among this population was 8.0&#x02009;&#x003BC;g/dl and arithmetic mean level was 8.7&#x02009;&#x003BC;g/dl. These levels are more than sixfold higher than the geometric mean BLL reported in the U.S. and more than fivefold higher than those reported in France. In addition, 88% of the children tested had lead levels greater than 5&#x02009;&#x003BC;g/dl. One limitation of the study is that the selection of the children sampled was not a random survey. The analysis of the responses to the questionnaire failed to uncover any specific exposure patterns. A statistically significant association was noted between the age of the child&#x02019;s home and the duration of exclusive breastfeeding with BLLs. The study points to a need for greater efforts to control sources of lead exposure in Cameroon.</p>
</abstract>
<kwd-group>
<kwd>lead poisoning</kwd>
<kwd>Africa</kwd>
<kwd>blood lead level</kwd>
<kwd>lead exposure</kwd>
<kwd>Cameroon</kwd>
</kwd-group>
<contract-sponsor id="cn01">Conservation, Food and Health Foundation<named-content content-type="fundref-id">10.13039/100001560</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="16"/>
<page-count count="5"/>
<word-count count="3827"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="introduction">
<title>Introduction</title>
<p>There are many known sources of lead exposure in Cameroon and throughout Africa that are contributing to children&#x02019;s lead burden. In Cameroon, lead paint is sold in retail outlets, although some companies have removed lead paint additives in recent years. Locally made aluminum cookware has also been shown to leach significant concentrations of lead during normal cooking (<xref ref-type="bibr" rid="B1">1</xref>). Local food including spices and tubers contain significant background levels of lead (<xref ref-type="bibr" rid="B2">2</xref>). Lead emissions from improper lead battery recycling, industrial sources, combustion products, lead-containing products, and the legacy of lead additives in gasoline have contributed to environmental exposures.</p>
<p>Although lead was banned from gasoline in Cameroon in 2004, it is likely that soil contamination persists in urban areas based on experience in other countries following this action. Exposures from this source in combination with lead from paint, dust, air, food, and water contribute to children body burden. Take-home exposures from parents occupationally exposed have also been responsible for lead poisoning cases in the past in many countries and are an ongoing risk factor that must be considered in Cameroon.</p>
<p>Lead absorption is known to increase with poor nutrition and even missing meals is an important consideration in evaluating potential lead exposures. In South Africa, a country with a significantly higher per capita income than Cameroon, 77% of urban households and 72% in rural areas reported skipping or reducing the size of meals (<xref ref-type="bibr" rid="B3">3</xref>). Although similar data are not available for Cameroon, we expect that nutritional status is lower than in South Africa.</p>
<p>Until now there have been no published studies documenting blood lead levels (BLLs) in Cameroon and no laboratory in the country is performing these tests on a routine basis. This report is the first such attempt to assess and characterize BLLs among children aged 12&#x02009;months to 6&#x02009;years residing in the nation&#x02019;s capital city of Yaound&#x000E9;.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<p>Ethical approval was obtained from the National Ethic Committee of Research for Human Health on July 31, 2015, as well as the administrative authorization issued by the Minister of Public of Cameroon. We recruited parents and guardians of 147 children aged 12&#x02009;months to 6&#x02009;years to participate from a convenience sample stratified across a number of geographically diverse neighborhoods. Children were recruited in the town of Yaound&#x000E9; from the councils of Yaound&#x000E9; V (Mvog Ada), Yaound&#x000E9; II (MokoloElobi and Nkongkana), and Yaound&#x000E9; VI (BiyemAssi) during October and November of 2015. District officers, traditional chiefs of the quarters, mayors&#x02019; assistants responsible for health matters, and volunteer community members helped the project team in recruiting children in each locality.</p>
<p>The parent or guardian accompanying each child was briefed on study protocols, and we obtained a signed consent form for their children to participate. A questionnaire was administered to assess potential sources of lead exposure and other potential risk factors. Information was collected on parents&#x02019; occupations, potential exposure sources, housing, breastfeeding practices, and children&#x02019;s development.</p>
<p>The interviews with parents or guardians indicated that 60% of the participants own their homes or apartments. The mean age of the participants&#x02019; homes was 24&#x02009;years old with the oldest structures reported to be approximately 60&#x02009;years old. 56% of the participants reported that the paint on the interior or exterior of their homes were in poor condition. It is noteworthy that 100% of the participants indicated that they cook with artisanal aluminum cookware. Approximately 53% of the parents had attended either secondary school or university and 21% reported that they smoke.</p>
<p>Collection of venipuncture blood sample was conducted after careful cleaning of the skin at the puncture site. Subsamples were analyzed for Lead using the LeadCare<sup>&#x000AE;</sup> Ultra&#x02122; Blood Lead Testing System to quantify the concentration of lead in a whole blood. The LeadCare device is an <italic>in vitro</italic> diagnostic device that utilizes Anodic Stripping Voltammetry and a sensor to detect lead in whole blood. The analyzer measures the amount of lead on the Sensor and displays the result in micrograms per deciliter.</p>
<p>The LeadCare has a lower limit of detection (LOD) of 3.3&#x02009;&#x003BC;g/dl. Values below the LOD can be used for statistical analysis to estimate the mean BLL for the study population (<xref ref-type="bibr" rid="B4">4</xref>). All the BLL results below the instrument detection level of 3.3 were recorded as 3.2&#x02009;&#x003BC;g/dl for the statistical summary. Given that only two readings in this study (1%) were below the instrument LOD, these results are unlikely to influence the reported mean. The LeadCare has a built-in electronic calibration system, and prior to being used in testing, the equipment underwent satisfactory calibration procedures and performance verification following the Manufacturer&#x02019;s operation manual. Calibration was repeated every time we started a new lot of test kits.</p>
<p>Samples of blood collected in the field were transported to the laboratory for analysis. Testing for a complete blood count and hemoglobin was performed by the laboratory of the hematology unit at the University teaching hospital of the University of Yaound&#x000E9; I. The Mindray BC-5300 equipment from Shenzen Mindray Biomedical Electronics Co, Ltd. was used for this purpose. Subsamples from these same vials were then used to test for iron at the Laboratory of the Department of Biochemistry, at the University of Yaound&#x000E9; I.</p>
<p>Data from the questionnaire and blood test results were codified to maintain medical confidentiality and entered into an Excel spreadsheet. The data were then provided to Ramboll Environmental (USA) for statistical analysis. Univariate analysis was conducted to assess the distribution of continuous variables for possible associations with BLLs.</p>
<p>A multivariate analysis with key parameters including the reported age of the home, home ownership, presence of bare soil, and the breastfeeding removal age, among other factors, was performed. Breastfeeding removal age was found to be significant (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.05) in the overall model. However, there were a large number of missing data from volunteers who were unable to report on several variables that at times influenced these relationships (e.g., age of the home was not significant but influenced the bare soil variable). We then conducted an analysis to assess the impact of the missing cases on the multivariate model and found that the influence of these missing cases was significant. Based on this, we concluded that the reduced sample size (<italic>n</italic>&#x02009;&#x0003D;&#x02009;81) influenced the associations observed in the overall model and the significance of the findings may have been an artifact of the missing cases. Given our lack of confidence in the results from the multivariate analysis, we did not report these values.</p>
</sec>
<sec id="S3">
<title>Results</title>
<p>The geometric mean BLL in the study population was 8.0&#x02009;&#x003BC;g/dl and the arithmetic mean was 8.7&#x02009;&#x003BC;g/dl. Results ranged from &#x0003C;3.3 to 25.1&#x02009;&#x003BC;g/dl. Although boys and girls tested had very consistent geometric mean BLLs (see Table <xref ref-type="table" rid="T1">1</xref>), the age distribution showed significant differences. Figure <xref ref-type="fig" rid="F1">1</xref> shows BLLs among girls peaking at around the age of 2&#x02009;years, whereas boys showed increasing levels through the age of 6&#x02009;years (see Table <xref ref-type="table" rid="T2">2</xref>). Note that the study population included more than three times the number of girls than boys (ratio 114:33).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Blood lead levels by gender.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Gender</th>
<th valign="top" align="center"><italic>N</italic></th>
<th valign="top" align="center">Geometric mean (&#x003BC;g/dl)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">8.0</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">114</td>
<td align="center" valign="top">8.0</td>
</tr>
<tr>
<td align="left" valign="top">Overall</td>
<td align="center" valign="top">147</td>
<td align="center" valign="top">8.0</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Geometric mean blood lead levels (in &#x003BC;g/dl) vs. age (in months) of the participants to the study. Blue color plots of the histogram show the geometric mean blood levels for boys peaking at around age 6, and red color plots of the histogram show the geometric mean blood lead levels for girls peaking at around age 2.</p></caption>
<graphic xlink:href="fpubh-05-00163-g001.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Blood lead levels (BLLs) by child&#x02019;s age.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Childs age (months)</th>
<th valign="top" align="center"><italic>N</italic></th>
<th valign="top" align="center">BLL (&#x003BC;g/dl)</th>
<th valign="top" align="center">SD</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">12&#x02013;23</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">7.1</td>
<td align="center" valign="top">4.5</td>
</tr>
<tr>
<td align="left" valign="top">24&#x02013;35</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">9.8</td>
<td align="center" valign="top">5.2</td>
</tr>
<tr>
<td align="left" valign="top">36&#x02013;47</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">7.7</td>
<td align="center" valign="top">2.7</td>
</tr>
<tr>
<td align="left" valign="top">48&#x02013;59</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">7.8</td>
<td align="center" valign="top">2.9</td>
</tr>
<tr>
<td align="left" valign="top">60&#x02013;71</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">7.0</td>
<td align="center" valign="top">2.0</td>
</tr>
<tr>
<td align="left" valign="top">72&#x02013;83</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">8.4</td>
<td align="center" valign="top">5.0</td>
</tr>
<tr>
<td align="left" valign="top">Total/geometric mean</td>
<td align="center" valign="top">147</td>
<td align="center" valign="top">8.0</td>
<td align="center" valign="top">3.9</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Results indicate that 88% of the children tested had lead levels greater than 5&#x02009;&#x003BC;g/dl and 32% exceeded 10&#x02009;&#x003BC;g/dl. Only two of the 147 children tested had BLLs below the instrument detection level of 3.3.</p>
<p>A univariate analysis of the BLL results matched with responses provided by parents and guardians on the questionnaire (see Table <xref ref-type="table" rid="T2">2</xref>) noted a statically significant association with the reported age of the child&#x02019;s home (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.01) (see Table <xref ref-type="table" rid="T3">3</xref>). However, there were 41 (28%) participants that did not know the age of their home as they were not the owners.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Univariate analysis of blood lead levels.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">Ln &#x003B2;</th>
<th valign="top" align="center">e<sup>(Ln &#x003B2;)</sup></th>
<th valign="top" align="center"><italic>p</italic>-Value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age of home</td>
<td align="center" valign="top">106</td>
<td align="center" valign="top">0.01</td>
<td align="center" valign="top">1.01</td>
<td align="center" valign="top">0.004<xref ref-type="table-fn" rid="tfn1">&#x0002A;</xref></td>
</tr>
<tr>
<td align="left" valign="top">Age of child</td>
<td align="center" valign="top">147</td>
<td align="center" valign="top">&#x02212;0.002</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">0.45</td>
</tr>
<tr>
<td align="left" valign="top">Distance from road</td>
<td align="center" valign="top">128</td>
<td align="center" valign="top">0.00</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">0.76</td>
</tr>
<tr>
<td align="left" valign="top">Child&#x02019;s weight</td>
<td align="center" valign="top">146</td>
<td align="center" valign="top">&#x02212;0.01</td>
<td align="center" valign="top">0.99</td>
<td align="center" valign="top">0.31</td>
</tr>
<tr>
<td align="left" valign="top">Breastfeeding removal age</td>
<td align="center" valign="top">112</td>
<td align="center" valign="top">0.02</td>
<td align="center" valign="top">1.02</td>
<td align="center" valign="top">0.01<xref ref-type="table-fn" rid="tfn1">&#x0002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1"><p><italic>&#x0002A;Statistical significance (<italic>p</italic>&#x02009;&#x02264;&#x02009;0.05)</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Several questions on the survey questionnaire addressed breastfeeding. The age when children stopped breastfeeding was positively associated with higher BLLs. The reported age that children were weaned and stopped taking breast milk was statistically significant (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.01) (see Table <xref ref-type="table" rid="T3">3</xref>). Other self-reported variables including the distance of the home from the closest road, and the age and weight of the child were not associated with BLL in this analysis.</p>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>Socioeconomic status of participating families was not investigated because any cursory attempt to quantify economic status would likely be biased based on the response of the parent or caretaker and not necessarily reflect the household income.</p>
<p>Aside from the age and gender related differences noted, exposures appear to be fairly consistent among the study population. The lack of significant correlations from responses to the questionnaire (other than those reported) suggests that consistent exposure sources may be present among the population studied.</p>
<p>The results from this investigation are generally consistent with recent reports of BLLs reported in other African countries. Mean BLL reported among children in Nigeria were 8.7&#x02009;&#x003BC;g/dl (<xref ref-type="bibr" rid="B5">5</xref>). The geometric mean BLL among children (age&#x02009;&#x0003C;&#x02009;6&#x02009;years) reported in Kinshasa, Democratic Republic of Congo was 11.5&#x02009;&#x003BC;g/dl (<xref ref-type="bibr" rid="B6">6</xref>). Mean BLLs reported in urban areas of South Africa were 7.9&#x02009;&#x003BC;g/dl (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>The mean BLL among children (12&#x02013;24&#x02009;months) reported in a semirural area in Benin were 7.2&#x02009;&#x003BC;g/dl (<xref ref-type="bibr" rid="B8">8</xref>). The study also found that the presence of paint chips in the home was associated with higher BLLs and that maternal BLLs were highly correlated with their children&#x02019;s level.</p>
<p>Our data suggest that children with longer duration of exclusive breastfeeding may have higher BLLs. Other studies have identified breast milk as a significant source of exposure to infants and suggest that the transfer of lead to breast milk may be higher at lower exposure levels (<xref ref-type="bibr" rid="B9">9</xref>). However, the link to breastfeeding noted in our report should be considered preliminary although it may warrant further investigation. The great majority of women in the study population reported breastfeeding and no effort was made to control for other possible risk factors.</p>
<p>Cameroon discontinued the use of lead in gasoline in 2004 but other sources of exposure are known to be present (<xref ref-type="bibr" rid="B10">10</xref>). In recent years, it was discovered that much of the paint being sold in stores for architectural applications contained lead in significant concentrations (<xref ref-type="bibr" rid="B11">11</xref>). The study found that 66 percent of new paints contained lead at concentrations exceeding 90 parts per million (ppm) and median concentration was 2,150&#x02009;ppm. Although subsequent surveys conducted since then have demonstrated that the largest brand has since reformulated and removed lead additives from its products, some other domestic and most of the imported brands still contain significant amount of lead.</p>
<p>Homes in Yaound&#x000E9; generally have paint on the interior and/or exterior that can be contributing to the observed BLLs. Most of the development in the city took place after the 1960s and the average age of the homes of participants in the study was 29&#x02009;years. As older homes generally have more paint deterioration and require more renovations, it is possible that exposure opportunities may increase as the housing stock in Yaound&#x000E9; ages.</p>
<p>Our questionnaire inquired about other potential sources of lead exposure including parents&#x02019; occupation, hobbies, smoking habits, type of plumbing, paint conditions, daycare facilities, stove usage, and housing conditions. However, as we did not conduct any home investigations, environmental testing, or even home visits this limited our ability to evaluate these exposure sources. As noted, the lack of a reported response by many of the study volunteers to interviewers&#x02019; questions seeking these assessments also limited our interpretation of the data. These were some of the limitations in the study design.</p>
<p>Other sources of lead have been previously identified in Cameroon. Pregnant women often consume calabash clay that is sold in markets as a remedy for morning sickness and for other assumed beneficial properties. A small survey of these clays purchased by the authors in markets in Yaound&#x000E9; in 2010 had concentrations of lead from 11 to 21&#x02009;ppm (unpublished). Other samples from the region purchased in the U.S. contained 6.6&#x02009;ppm (<xref ref-type="bibr" rid="B12">12</xref>). An earlier study of Calabash clay samples purchased in the United Kingdom were tested using Energy dispersive X-ray fluorescence and found to contain a mean concentrations of lead of 40&#x02009;ppm (<xref ref-type="bibr" rid="B13">13</xref>). To the extent that mothers pass on their lead exposures to the developing fetus, this source of exposure can be one contributing factor in BLLs observed.</p>
<p>However, given the inconsistent nature of the Calabash clays and the likely recall bias inherent in asking about the frequency and quantity consumed during pregnancy, we did not include the consumption of clays in the questionnaire. We also made no attempt to include household income or other measures of socioeconomic status. Given that we only interviewed a single parent or caretaker for each participating child, we believed that responses to any questions on household income could be inaccurate and difficult to interpret.</p>
<p>A study in Cameroon of heavy metals found in common foods after typical preparation indicated that significant concentrations of lead are present particularly in condiments/spices and tubers and starches. Estimated mean lead exposures from food in Cameroon were 0.963&#x02009;&#x003BC;g kg<sup>&#x02212;1</sup> body weight day<sup>&#x02212;1</sup> in contrast to similar study in France finding 0.2&#x02009;&#x003BC;g kg<sup>&#x02212;1</sup> body weight day<sup>&#x02212;1</sup> (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Although the source of the lead in foods tested in that study were not traced to determine potential sources of contamination, commonly used aluminum cookware in Cameroon is known to contain significant concentrations of lead. Weidenhamer et al. reported significant levels of lead up to 260&#x02009;&#x003BC;g per serving in leachate after simulated normal cooking conditions with cookware from Cameroon (<xref ref-type="bibr" rid="B1">1</xref>). These pots are made in small artisanal workshops from recycled metal from a range of sources and were obtained from markets in Yaound&#x000E9; and other cities in Cameroon. This study also demonstrated that this type of aluminum cookware that is not anodized can release significant concentrations of lead although it generally contains less than 1,000 parts per million lead based on X-ray fluorescence testing.</p>
<p>Lead exposures from these various sources, and the resulting BLLs reported in this study, are having a direct impact on economic development in Cameroon. It is estimated that lead exposure costs Cameroon approximately &#x00024;2.52 billion USD annually. This cost is about three times, the amount Cameroon receives in annual development aid (&#x00024; 852,290,000 USD) (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>This study provides additional evidence that elevated BLLs remain persistent in sub-Saharan Africa. BLLs in Cameroon more than a decade after the ban on lead in gasoline are more than sixfold higher than the geometric mean BLL reported in the U.S. and more than fivefold higher than those reported in France (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Cameroon must develop the capacity to test BLLs in order to better assess exposures and monitor progress in reducing levels going forward. This study points to the need to conduct ongoing surveillance and to enable medical practitioners to evaluate a patient&#x02019;s BLL as appropriate.</p>
<p>Many sources of lead exposure remain unregulated in Cameroon including the use of lead in paints and in consumer products such as aluminum cookware. Industrial emissions may also be a contributing source. Additional action is needed to address this avoidable public health threat through effective regulations and standards to control these sources of exposure. Environmental assessments are needed to better determine potential exposure from soil, dust, water, and other environmental sources. In addition, more outreach and education, particularly to populations at risk of lead poisoning, are needed to facilitate risk reduction measures.</p>
</sec>
<sec id="S5">
<title>Ethics Statement</title>
<p>This study protocol was granted ethical clearance on July 31, 2015, by the Comite National d&#x02019;Ethique de la Recherche pour La Sant&#x000E9; Humaine in Cameroon. This study was carried out in accordance with the recommendations of the Committee with written informed consent obtained from all subjects. Researchers briefed parents or guardians accompanying each child who attended the blood lead testing clinics on study protocols and were asked to sign a consent form to allow their children to participate. This study presents no more than minimal risk of harm to subjects and involves no procedures for which written consent is normally required outside of the research context.</p>
</sec>
<sec id="S6" sec-type="author-contributor">
<title>Author Contributions</title>
<p>FM was the Principal Investigator and obtained the ethics approval, designed the questionnaire, conducted the research, and reviewed the manuscript for the publication. DC and PA conducted the field research and testing and made substantial contributions to the collection of the data. GK and A-CB reviewed the manuscript and offered critical intellectual content revisions. PG was involved in the design of the study and wrote the primary draft of the manuscript.</p>
</sec>
<sec id="S7">
<title>Conflict of Interest Statement</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>
</body>
<back>
<ack>
<p>The authors thank Magellan Diagnostics, Inc. for their generous assistance in lending the LeadCare device and donating blood lead test kits for this study. The Conservation, Food and Health Foundation (USA) provided generous financial support for this project. Ramboll Environmental (USA) is acknowledged for its support in the statistical analysis of the data.</p>
</ack>
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