<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">ODEM</journal-id><journal-title-group><journal-title>Occupational Diseases and Environmental Medicine</journal-title></journal-title-group><issn pub-type="epub">2333-3561</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/odem.2019.73007</article-id><article-id pub-id-type="publisher-id">ODEM-94328</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  The Blood Lead, Blood Pressure Connection: An Evaluation of Apparently Healthy Lead Exposed Workers in Nigeria
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Datonye</surname><given-names>Dennis Alasia</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alagoma</surname><given-names>Murtala Iyagba</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Internal Medicine, College of Health Sciences, University of Port Harcourt, Port Harcourt, Nigeria</addr-line></aff><pub-date pub-type="epub"><day>05</day><month>08</month><year>2019</year></pub-date><volume>07</volume><issue>03</issue><fpage>75</fpage><lpage>90</lpage><history><date date-type="received"><day>27,</day>	<month>June</month>	<year>2019</year></date><date date-type="rev-recd"><day>11,</day>	<month>August</month>	<year>2019</year>	</date><date date-type="accepted"><day>14,</day>	<month>August</month>	<year>2019</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Objective: There is a paucity of evidence on the lead exposure and blood pressure association in Nigeria where lead exposure is still prevalent and poorly regulated. The objective of this study was to evaluate the association between lead exposure using blood lead level and blood pressure in Port Harcourt Nigeria. 
  Methodology: A prospective cross sectional comparative study of adult subjects with occupational lead exposure and controls, performed in Port Harcourt, South-south Nigeria. Blood lead measured by atomic absorption spectrophotometry was used as the biomarker of lead exposure while systolic and diastolic blood pressures and other relevant variables were measured and analysed. 
  Results: The mean systolic blood pressure was significantly higher in lead exposed subjects 118.49 (14.67) mmHg compared to controls 113.62 (11.31) mmHg (p = 0.008). No difference was observed in the mean diastolic blood pressure. A higher proportion of subjects had systolic and diastolic pressure &gt; 140 mmHg and &gt;90 mmHg compared to controls 9.47% vs. 1.25% and 10.51% vs. 2.54%, with (p = 0.016), OR = 8.27 &lt; 1.14 &lt; OR &lt; 169.09&gt;, RR = 1.38 &lt; 1.21 &lt; RR &lt; 1.58&gt; and (p = 0.028), OR = 4.59 &lt; 1.00 &lt; OR &lt; 29.15&gt;, RR = 1.33 &lt; 1.13 &lt; RR &lt; 1.55&gt; respectively. There was no significant statistical correlation between blood lead and blood pressure. 
  Conclusion: The results of this study indicate a significant systolic blood pressure elevation and prevalence of hypertension among lead exposed workers in Port Harcourt Nigeria. Lager longitudinal research is needed to evaluate lead exposure and elevated blood pressure association in Nigeria. The findings call for better regulation of occupational lead exposure in Nigeria.
 
</p></abstract><kwd-group><kwd>Blood Pressure</kwd><kwd> Lead Exposure</kwd><kwd> Nigeria</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Occupational and environmental lead exposure has been associated with blood pressure elevation [<xref ref-type="bibr" rid="scirp.94328-ref1">1</xref>] . Lead induced hypertension has been shown to occur even in the absence of symptomatic lead intoxication and even before the onset of clinically apparent renal impairment [<xref ref-type="bibr" rid="scirp.94328-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref4">4</xref>] . Several epidemiologic studies [<xref ref-type="bibr" rid="scirp.94328-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref9">9</xref>] have shown that relatively low level of lead exposure is associated with a significant increase in blood pressure. This epidemiological association of lead exposure and elevated blood pressure has been shown to contribute largely to the disease burden attributable to lead, as a result of its associated cardiovascular risk [<xref ref-type="bibr" rid="scirp.94328-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref11">11</xref>] . Similarly lead toxicity has also been associated with an increase in the all cause circulatory and cardiovascular mortality in the United States of America as shown in the Second National Health and Nutrition Assessment Survey (NHANES II) [<xref ref-type="bibr" rid="scirp.94328-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref13">13</xref>] . The Analysis of the NHANES II in the USA showed that blood lead levels (BLL) where significantly higher in groups with diastolic blood pressure above 90 mmHg. Blood lead increase from 0.68 to 1.45 umol/l (14 - 30 ug/dl) resulted in an increase of 7 mmHg in mean systolic blood pressure and 3 mmHg in mean diastolic blood pressure [<xref ref-type="bibr" rid="scirp.94328-ref14">14</xref>] . A cross sectional and longitudinal study from Canada [<xref ref-type="bibr" rid="scirp.94328-ref15">15</xref>] also established the link between lead exposure and diastolic blood pressure. The NHANES III survey also showed that lead level remains significantly and positively related to elevated BP and hypertension among blacks, who had higher blood lead concentrations compared with whites [<xref ref-type="bibr" rid="scirp.94328-ref16">16</xref>] . The positive correlation between increasing lead exposure biomarkers and hypertension has also been demonstrated in many studies globally as shown in reports from the NHANES II survey [<xref ref-type="bibr" rid="scirp.94328-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref18">18</xref>] and other studies in Spain [<xref ref-type="bibr" rid="scirp.94328-ref19">19</xref>] , China [<xref ref-type="bibr" rid="scirp.94328-ref20">20</xref>] , Kenya [<xref ref-type="bibr" rid="scirp.94328-ref21">21</xref>] , Nigeria [<xref ref-type="bibr" rid="scirp.94328-ref22">22</xref>] Japan [<xref ref-type="bibr" rid="scirp.94328-ref23">23</xref>] and Saudi Arabia [<xref ref-type="bibr" rid="scirp.94328-ref24">24</xref>] .</p><p>In spite of the association of lead exposure and hypertension, there are divergent results from other studies [<xref ref-type="bibr" rid="scirp.94328-ref25">25</xref>] - [<xref ref-type="bibr" rid="scirp.94328-ref31">31</xref>] which indicate a negative or weak association on the relationship between BLL and hypertension. However the general consensus is that the marginal elevation of blood pressure induced by even low level lead exposure evaluated through biomarkers like bone and blood lead remains significant [<xref ref-type="bibr" rid="scirp.94328-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref33">33</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref34">34</xref>] . The significance of the above association is magnified by the high population risk from lead exposure and the relationship between lead related blood pressure elevation, cardiovascular morbidity and mortality and renal function impairment. [<xref ref-type="bibr" rid="scirp.94328-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref35">35</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref36">36</xref>] .</p><p>Therefore in a country like Nigeria where lead exposure and toxicity risk remain high as evidenced by studies across the country [<xref ref-type="bibr" rid="scirp.94328-ref37">37</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref38">38</xref>] ; the recent acute lead toxicity resulting in the death of many children [<xref ref-type="bibr" rid="scirp.94328-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref40">40</xref>] and the low knowledge and awareness of lead exposure [<xref ref-type="bibr" rid="scirp.94328-ref41">41</xref>] , it is justified to evaluate the relationship of lead exposure and it multisystem effects including hypertension.</p><p>The objective of this study was to evaluate the association between lead exposure using blood lead level (BLL) as the marker of exposure and blood pressure among apparently healthy lead exposed workers in Port Harcourt Nigeria.</p></sec><sec id="s2"><title>2. Methodology</title><p>This was a comparative cross sectional study among adults with occupational risk for lead exposure in Port Harcourt an urban city in South Nigeria. The study population consisted of male and female adults between the ages of 18 - 60 years residing in Port Harcourt, Nigeria. Consenting adults within the study age range working in occupations with risk for lead exposure for at least 2 years were recruited. The subjects were selected by stratified sampling on an occupational basis, from the following occupational groups as follows: Welding/Metal works 42 subjects, Paint/Pigment workers 38 subjects, Radiator repairers 37 subjects, Battery workers 37 subjects and Petrol workers 36 subjects. The study subjects were compared with 80 age matched controls with limited occupational risk for lead exposure. Ethical approval was obtained from the University of Port Harcourt Teaching Hospital, ethics and research committee and all subjects and controls gave informed consent before participation. Persons with established Hypertension, Diabetes Mellitus, evidence of previous renal disease, Habitual use of Mercury and hydroquinone (Nephrotoxicants) containing cosmetics and significant Analgesic abuse defined by a cumulative life time use of over 20points were excluded [<xref ref-type="bibr" rid="scirp.94328-ref42">42</xref>] . A clinical evaluation including socio-demographic assessment, clinical and occupational history was done. Blood pressure (BP) measurements and BMI were obtained in accordance with WHO STEPs instrument guide for physical measurement [<xref ref-type="bibr" rid="scirp.94328-ref43">43</xref>] . The blood lead level (BLL) was measured in subjects as a marker of lead exposure using venous blood collected with sealed plastic containers without anticoagulant and analyzed by atomic absorption spectrometry [<xref ref-type="bibr" rid="scirp.94328-ref44">44</xref>] .</p>Statistical Analysis<p>Data were analysed with SPSS Version 22. Mean, standard deviation, Median and Range were calculated for quantitative data. With results presented as Mean, standard error of mean (SEM) and Standard deviation (SD). Tests of significance were calculated using the student t-test for independent samples, the F test and Analysis of variance (ANOVA). Qualitative and categorical data were compared using the chi-square tests. A p value of &lt;0.05 was set as statistically significant. Pearson bivariate correlation analysis and regression analysis was used to determine the relationship between BLLs, blood pressure and other study variables with p values of &lt;0.05 considered significant as appropriate.</p></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Demographics of Subjects</title><p>The demographic summary of study population is as displayed in <xref ref-type="table" rid="table1">Table 1</xref> and <xref ref-type="table" rid="table2">Table 2</xref>. The mean age of lead exposed subjects was 34.78 &#177; 0.728 years (yrs.) compared to controls with 35.95 &#177; 1.128 years, p (0.385) (See <xref ref-type="table" rid="table3">Table 3</xref>).</p><p>The mean age of the study subjects in the various occupational groups is as stated: welding and metal workers 31.59 &#177; 9.32 yrs., Paint and Pigment 35.13 &#177;</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Demographic details of all study participants</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Frequency Distribution</th><th align="center" valign="middle" >Frequency N (%)</th><th align="center" valign="middle" >Range</th><th align="center" valign="middle" >Mean &#177; SD</th></tr></thead><tr><td align="center" valign="middle" >Age (Years)</td><td align="center" valign="middle" >18 - 30</td><td align="center" valign="middle" >104 (38.5%)</td><td align="center" valign="middle" >18 - 58</td><td align="center" valign="middle" >35.13 &#177; 10.06</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >31 - 40</td><td align="center" valign="middle" >73 (27.0%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >41 - 50</td><td align="center" valign="middle" >61 (22.6%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >51 - 60</td><td align="center" valign="middle" >32 (11.9%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >209 (77.4%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >61 (22.6%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >DOC (Years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1 - 48</td><td align="center" valign="middle" >10.77 &#177; 8.90</td></tr><tr><td align="center" valign="middle" >Smoking/Intake (Pack years)</td><td align="center" valign="middle" >Smokers</td><td align="center" valign="middle" >12 (4.4%)</td><td align="center" valign="middle" >0 - 15</td><td align="center" valign="middle" >0.42 &#177; 2.20</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Non Smokers</td><td align="center" valign="middle" >258 (95.6%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Alcohol intake (grams/week)</td><td align="center" valign="middle" >Take alcohol</td><td align="center" valign="middle" >73 (27%)</td><td align="center" valign="middle" >0 - 216</td><td align="center" valign="middle" >17.20 &#177; 37.52</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Do not take alcohol</td><td align="center" valign="middle" >197 (73%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >BMI (Kg/m<sup>2</sup>)</td><td align="center" valign="middle" >&lt;18.5</td><td align="center" valign="middle" >5 (1.85%)</td><td align="center" valign="middle" >16.94 - 47.96</td><td align="center" valign="middle" >25.28 &#177; 4.16</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >18.5 - 24.9</td><td align="center" valign="middle" >136 (50.37%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >25 - 29.9</td><td align="center" valign="middle" >98 (36.3%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >30 - 34.9</td><td align="center" valign="middle" >26 (9.63%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >35 - 39.9</td><td align="center" valign="middle" >3 (1.11%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >&gt;40</td><td align="center" valign="middle" >2 (0.74%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap-group id="2"><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Comparison of demographic variables between subject and controls</title></caption><table-wrap id="2_1"><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  rowspan="2"  >Frequency Distribution</th><th align="center" valign="middle"  colspan="2"  >Subjects</th><th align="center" valign="middle"  colspan="2"  >Controls</th></tr></thead><tr><td align="center" valign="middle" >Frequency N (%)</td><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >Frequency N (%)</td><td align="center" valign="middle" >Range</td></tr><tr><td align="center" valign="middle" >Age (Years)</td><td align="center" valign="middle" >18 - 30</td><td align="center" valign="middle" >78 (41.6%)</td><td align="center" valign="middle" >18 - 58</td><td align="center" valign="middle" >26 (32.5%)</td><td align="center" valign="middle" >19 - 58</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >31 - 40</td><td align="center" valign="middle" >49 (25.8%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >24 (30.0%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >41 - 50</td><td align="center" valign="middle" >42 (22.1%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >19 (23.8%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >51 - 60</td><td align="center" valign="middle" >21 (11.1%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >11 (13.7%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >151(79.5%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >58 (72.5%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >39 (20.5%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >22 (27.5%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >DOC (Years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >2 - 48</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >2 - 30</td></tr><tr><td align="center" valign="middle" >Smoking/Intake (Pack years)</td><td align="center" valign="middle" >Smokers</td><td align="center" valign="middle" >9 (4.7%)</td><td align="center" valign="middle" >0 - 15</td><td align="center" valign="middle" >3 (3.7%)</td><td align="center" valign="middle" >0 - 10</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Non Smokers</td><td align="center" valign="middle" >181 (95.3%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >77 (96.3%)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="2_2"><table><tbody><thead><tr><th align="center" valign="middle" >Alcohol intake (grams/week)</th><th align="center" valign="middle" >Take alcohol</th><th align="center" valign="middle" >53 (27.9%)</th><th align="center" valign="middle" >0 - 216</th><th align="center" valign="middle" >20 (25%)</th><th align="center" valign="middle" >0 - 126</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Do not take alcohol</td><td align="center" valign="middle" >137 (72.1%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >60 (75%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >BMI(Kg/m<sup>2</sup>)</td><td align="center" valign="middle" >&lt;18.5</td><td align="center" valign="middle" >4 (2.1%)</td><td align="center" valign="middle" >16.94 - 40.65</td><td align="center" valign="middle" >1 (1.3%)</td><td align="center" valign="middle" >18.30 - 47.96</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >18.5 - 24.9</td><td align="center" valign="middle" >97 (51.1%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >39 (48.8%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >25 - 29.9</td><td align="center" valign="middle" >74 (38.9%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >24 (30.0%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >30 - 34.9</td><td align="center" valign="middle" >13 (6.8%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >13 (16.3%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >35 - 39.9</td><td align="center" valign="middle" >1 (0.5%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >2 (2.5%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >&gt;40</td><td align="center" valign="middle" >1(0.5%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1(1.3%)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap></table-wrap-group><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Comparison of study variables mean in subjects and controls</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Study groups</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >Mean</th><th align="center" valign="middle" >Std. Error Mean</th><th align="center" valign="middle" >P value</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >age in years</td><td align="center" valign="middle" >Subjects</td><td align="center" valign="middle" >190</td><td align="center" valign="middle" >34.78</td><td align="center" valign="middle" >0.73</td><td align="center" valign="middle"  rowspan="2"  >0.385</td></tr><tr><td align="center" valign="middle" >Controls</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >35.95</td><td align="center" valign="middle" >1.13</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >duration of occupation (years)</td><td align="center" valign="middle" >Subjects</td><td align="center" valign="middle" >190</td><td align="center" valign="middle" >11.92</td><td align="center" valign="middle" >0.67</td><td align="center" valign="middle"  rowspan="2"  >0.001</td></tr><tr><td align="center" valign="middle" >Controls</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >8.04</td><td align="center" valign="middle" >0.82</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >body mass index (kg/m<sup>2</sup>)<sup> </sup></td><td align="center" valign="middle" >Subjects</td><td align="center" valign="middle" >190</td><td align="center" valign="middle" >24.92</td><td align="center" valign="middle" >0.26</td><td align="center" valign="middle"  rowspan="2"  >0.028</td></tr><tr><td align="center" valign="middle" >controls</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >26.14</td><td align="center" valign="middle" >0.571</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >mean systolic blood pressure (mmHg)</td><td align="center" valign="middle" >subjects</td><td align="center" valign="middle" >190</td><td align="center" valign="middle" >118.49</td><td align="center" valign="middle" >1.06</td><td align="center" valign="middle"  rowspan="2"  >0.008</td></tr><tr><td align="center" valign="middle" >controls</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >113.62</td><td align="center" valign="middle" >1.26</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >mean diastolic blood pressure (mmHg)</td><td align="center" valign="middle" >subjects</td><td align="center" valign="middle" >190</td><td align="center" valign="middle" >74.67</td><td align="center" valign="middle" >0.79</td><td align="center" valign="middle"  rowspan="2"  >0.285</td></tr><tr><td align="center" valign="middle" >controls</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >73.24</td><td align="center" valign="middle" >0.82</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >blood lead levels (ug/dl)</td><td align="center" valign="middle" >subjects</td><td align="center" valign="middle" >190</td><td align="center" valign="middle" >50.38</td><td align="center" valign="middle" >1.78</td><td align="center" valign="middle"  rowspan="2"  >0.003</td></tr><tr><td align="center" valign="middle" >controls</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >40.48</td><td align="center" valign="middle" >2.83</td></tr></tbody></table></table-wrap><p>10.65 yrs., Radiator Mechanics 34.91 &#177; 8.65 yrs., Battery worker = 36.97 &#177; 10.06 yrs., Petrol attendants 35.75 &#177; 11.10 yrs. There was no significant difference in the mean age between and within the group p = 0.172 (See <xref ref-type="table" rid="table4">Table 4</xref>).</p><p>The study population comprised of 209 (77.4%) males and 61 (22.6%) females, with a male to female ratio of 3.4:1. No significant difference was observed in the proportion of males and females in both groups, p = 0.21(See <xref ref-type="table" rid="table1">Table 1</xref>). The mean BMI in the study subjects was 24.92 &#177; 0.264 kg/m<sup>2</sup> with a range of (16.94 - 40.65) Kg/m<sup>2</sup> (see <xref ref-type="table" rid="table2">Table 2</xref> and <xref ref-type="table" rid="table3">Table 3</xref>) while the mean in the controls was 26.13 &#177; 0.571 Kg/m<sup>2</sup> with a range of (18.30 - 47.96) Kg/m<sup>2</sup> (See <xref ref-type="table" rid="table2">Table 2</xref> and <xref ref-type="table" rid="table3">Table 3</xref>). A significant difference was observed between the means, with a p = 0.028 (See <xref ref-type="table" rid="table3">Table 3</xref>).</p><p>The mean duration of occupation in the study subjects was 11.91 &#177; 0.672 yrs with a range of (2 - 48) yrs, while the value in controls was 8.03 &#177; 0.818 range of (2 - 30) yrs. A significant difference was observed between the means, with a p = 0.001 (See <xref ref-type="table" rid="table2">Table 2</xref> and <xref ref-type="table" rid="table3">Table 3</xref>).</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Comparison of mean age in the different occupational groups of study subjects</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Occupational Group</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >Mean Age (Years)</th><th align="center" valign="middle" >SD</th><th align="center" valign="middle" >P value</th></tr></thead><tr><td align="center" valign="middle" >Welding and metal</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >31.59</td><td align="center" valign="middle" >9.32</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Paint and pigment</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >35.13</td><td align="center" valign="middle" >10.65</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Radiator and auto mechanic</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >34.91</td><td align="center" valign="middle" >8.65</td><td align="center" valign="middle" >0.172</td></tr><tr><td align="center" valign="middle" >Battery worker</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >36.97</td><td align="center" valign="middle" >10.06</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Petrol worker</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >35.75</td><td align="center" valign="middle" >11.10</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>SD = Standard Deviation.</p></sec><sec id="s3_2"><title>3.2. Blood Lead Pattern</title><p>There was a significant difference in the mean blood lead levels of subjects compared controls 50.37 &#177; 1.784 ug/dl vs. 41.40 &#177; 2.832 ug/dl (p = 0.008), (See <xref ref-type="table" rid="table3">Table 3</xref>).</p><p>Subjects in the welding/metal work group had the highest mean BLL of 54.25 (26.94) ug/dl, trailed by battery workers 52.59 (28.05) ug/dl, paint/pigment workers 49.36 (20.73) ug/dl, radiator repairers 48.89 (24.13) ug/dl and petrol workers 46.16 (22.46) ug/dl respectively. There was no significant difference between the group means of the various occupational groups of the subjects (See <xref ref-type="table" rid="table5">Table 5</xref>).</p><p>The distribution of BLL by blood lead groups in both subjects and controls shows that 92.1% of subjects and 72.6% of controls had BLL above level 2 &gt; 20 ug/dl, with a significant difference in the proportions, expressed by p = 0.000 and RR = 1.85 &lt; 1.25 &lt; RR &lt; 2.76&gt; (See <xref ref-type="table" rid="table6">Table 6</xref>).</p></sec><sec id="s3_3"><title>3.3. Blood Pressure Pattern</title><p>The mean systolic blood pressure (SBP) in study subjects was 118.49 &#177; 1.065 mmHg compared to 113.62 &#177; 1.265 mmHg in controls with a significant difference observed, expressed by p = 0.008 (See <xref ref-type="table" rid="table3">Table 3</xref>). There was no significant difference in mean diastolic blood pressure (DBP) in study subjects 74.64 &#177; 0.7967 mmHg compared to 73.10 &#177; 0.8173 mmHg, p = 0.285 (See <xref ref-type="table" rid="table3">Table 3</xref>).</p><p>The mean values of systolic and diastolic blood pressure of the subjects in various occupational groupings did not vary significantly with p values of 0.055 and 0.760 respectively (See <xref ref-type="table" rid="table7">Table 7</xref>).</p><p>A significantly higher proportion of subjects 9.47% had SBP ≥ 140 mmHg compared with 1.25% in controls, p = 0.016 with a relative risk (RR) = 1.38 &lt; 1.21 &lt; RR &lt; 1.58&gt;. A significantly higher proportion of subjects 9.5% had DBP ≥ 90 mmHg compared to 2.5% of controls, p = 0.028 and a RR = 1.33 &lt; 1.13 &lt; RR &lt; 1.55&gt; (See <xref ref-type="table" rid="table6">Table 6</xref>).</p></sec><sec id="s3_4"><title>3.4. Blood Lead and Blood Pressure Association</title><p>There was no significant direct correlation between BLL and BP on Bivariate correlation and single and multiple linear regression analysis.</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Blood lead levels by occupational groups of subjects</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >Occupational Group</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >Mean</th><th align="center" valign="middle" >SD</th><th align="center" valign="middle" >P Value</th></tr></thead><tr><td align="center" valign="middle" >Blood lead levels</td><td align="center" valign="middle" >Welding and metal</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >54.25</td><td align="center" valign="middle" >26.94</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Paint and pigment</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >49.36</td><td align="center" valign="middle" >20.73</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Radiator and auto mechanic</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >48.89</td><td align="center" valign="middle" >24.13</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Battery worker</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >52.59</td><td align="center" valign="middle" >28.05</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Petrol worker</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >46.16</td><td align="center" valign="middle" >22.46</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >190</td><td align="center" valign="middle" >50.37</td><td align="center" valign="middle" >24.58</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>NS = Not Significant, SD = Standard Deviation.</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Comparative frequency of blood lead and blood pressure elevation in study population</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >N (190)</th><th align="center" valign="middle" >% of n</th><th align="center" valign="middle" >n (80)</th><th align="center" valign="middle" >% of n</th><th align="center" valign="middle" >P value</th><th align="center" valign="middle" >RR (Relative Risk)</th></tr></thead><tr><td align="center" valign="middle" >Blood Lead &gt; 20 ug/dl</td><td align="center" valign="middle" >175</td><td align="center" valign="middle" >92.1%</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >72.5%</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >1.85 &lt; 1.25 &lt; RR &lt; 2.76&gt;</td></tr><tr><td align="center" valign="middle" >Systolic Blood Pressure ≥ 140 mmHg</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >9.47%</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.25 %</td><td align="center" valign="middle" >0.016</td><td align="center" valign="middle" >1.38 &lt; 1.21 &lt; RR &lt; 1.58&gt;</td></tr><tr><td align="center" valign="middle" >Diastolic Blood Pressure ≥ 90 mmHg</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >9.5%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.5%</td><td align="center" valign="middle" >0.028</td><td align="center" valign="middle" >1.33 &lt; 1.13 &lt; RR &lt; 1.55</td></tr></tbody></table></table-wrap><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Blood pressure level in various occupational groups of subjects</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="3"  >Systolic BP (mmHg)</th><th align="center" valign="middle"  colspan="2"  >95% CI for mean</th><th align="center" valign="middle"  rowspan="2"  >Combined P value</th><th align="center" valign="middle"  colspan="3"  >Diastolic BP (mmHg)</th><th align="center" valign="middle"  colspan="2"  >95% CI for mean</th><th align="center" valign="middle"  rowspan="2"  >Combined P value</th></tr></thead><tr><td align="center" valign="middle" >Occupational Group</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >SEM</td><td align="center" valign="middle" >LB</td><td align="center" valign="middle" >UB</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >SEM</td><td align="center" valign="middle" >LB</td><td align="center" valign="middle" >UB</td></tr><tr><td align="center" valign="middle" >Welding metal</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >123.43</td><td align="center" valign="middle" >1.89</td><td align="center" valign="middle" >119.61</td><td align="center" valign="middle" >127.25</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >73.32</td><td align="center" valign="middle" >1.68</td><td align="center" valign="middle" >66.92</td><td align="center" valign="middle" >76.72</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Paint pigment</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >119.11</td><td align="center" valign="middle" >2.05</td><td align="center" valign="middle" >114.95</td><td align="center" valign="middle" >123.26</td><td align="center" valign="middle" >0.055</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >73.95</td><td align="center" valign="middle" >2.26</td><td align="center" valign="middle" >69.37</td><td align="center" valign="middle" >78.53</td><td align="center" valign="middle" >0.760</td></tr><tr><td align="center" valign="middle" >Radiator automechanic</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >116.35</td><td align="center" valign="middle" >2.51</td><td align="center" valign="middle" >111.27</td><td align="center" valign="middle" >121.435</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >75.99</td><td align="center" valign="middle" >1.63</td><td align="center" valign="middle" >72.68</td><td align="center" valign="middle" >79.29</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Battery worker</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >118.86</td><td align="center" valign="middle" >2.75</td><td align="center" valign="middle" >113.29</td><td align="center" valign="middle" >124.437</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >75.97</td><td align="center" valign="middle" >1.37</td><td align="center" valign="middle" >73.22</td><td align="center" valign="middle" >78.72</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Petrol workers</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >11.88</td><td align="center" valign="middle" >2.55</td><td align="center" valign="middle" >108.71</td><td align="center" valign="middle" >119.069</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >74.32</td><td align="center" valign="middle" >1.89</td><td align="center" valign="middle" >70.46</td><td align="center" valign="middle" >78.16</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Legend: SEM—Standard Error of Mean, CI—Confidence Interval, LB—Lower bound, UB—Upper bound, N—Number.</p><p>In linear regression modelling DOC was significantly and positively associated with SBP [r = 0.256, r<sup>2</sup> = 0.065, p = 0.000] (<xref ref-type="fig" rid="fig1">Figure 1</xref>) and DBP [r = 0.137, r<sup>2</sup> = 0.019, p = 0.025] (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Other significant correlations were SBP and DBP [r = 0.138, p = 0.024] and SBP and BMI [r = 0.184, p = 0.002].</p><p>With multiple linear regression analysis model DOC was also independently significantly and positively correlated with SBP [r = 0.532, r<sup>2</sup> = 0.238, p = 0.000]. The significant predictors of this association in this regression model were increasing age p = 0.000, BMI p = 0.031 and alcohol consumption p = 0.003.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>It is noted that most of the studies on lead exposure and blood pressure relationship have been done in developed countries. There is consequently a paucity of studies evaluating the role and contribution of lead exposure on elevated blood pressure and hypertension in countries like Nigeria, where lead exposure is considered to be prevalent and unregulated [<xref ref-type="bibr" rid="scirp.94328-ref37">37</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref38">38</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref40">40</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref41">41</xref>] and</p><p>hypertension is common [<xref ref-type="bibr" rid="scirp.94328-ref45">45</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref46">46</xref>] .</p><p>This study which evaluated the relationship of blood lead and blood pressure among lead exposed workers established a significantly higher degree of lead exposure in the study subjects compared to controls as demonstrated by significantly higher mean BLL in study subjects compared to controls 50.3 &#177; 24.5 ug/dl vs. 41.40 &#177; 26.85 ug/dl.</p><p>This finding is consistent with reports from other Nigerian studies reporting higher mean BLL in occupationally exposed populations compared to controls of 56.3 &#177; 0.95 ug/dl vs 30.47 &#177; 1.4 ug/dl [<xref ref-type="bibr" rid="scirp.94328-ref47">47</xref>] , 48.09 &#177; 9.08 ug/dl vs 33.65 &#177; 10.09 ug/dl [<xref ref-type="bibr" rid="scirp.94328-ref48">48</xref>] and 46.0 &#177; 0.19 ug/dl vs 31.0 &#177; 0.10 ug/dl [<xref ref-type="bibr" rid="scirp.94328-ref38">38</xref>] respectively. Similar reports have also been documented from other countries outside Africa as shown by Jung et al. [<xref ref-type="bibr" rid="scirp.94328-ref49">49</xref>] who reported the following mean BLL of 74.6 &#177; 7.8 &#181;g/dl, 46.5 &#177; 5.9 &#181;g/dl and 24.3 &#177; 2.7 &#181;g/dl respectively in the highly exposed, moderately exposed and slightly exposed Korean lead workers compared to 7.9 &#177; 1.4 ug/dl in the control group while Sadeghniiat-Haghighi et al. in a study of Iranian workers reported a mean BLL of 44.04 &#177; 16.05 ug/dl with a range of 15.6 - 85.6 ug/dl [<xref ref-type="bibr" rid="scirp.94328-ref50">50</xref>] .</p><p>It is also known that lead exposure and BLL above 20 ug/dl are associated with a variety of multisystem effects which include hypertension, cardiovascular risk and renal disease. The results of this study showed a significantly higher prevalence of BLL above level 2 &gt; 20 ug/dl in subjects as 92.1% of subjects and 72.6% of controls had blood lead above level 2 &gt; 20 ug/dl. Compatible results have also been documented in Nigeria by Adeniyi and Anetor [<xref ref-type="bibr" rid="scirp.94328-ref37">37</xref>] who documented a prevalence of 95.3% of exposed workers and 82% of controls with BLL above 40 ug/dl.</p><p>With the established finding of higher levels and prevalence of lead exposure using BLL as the marker in the study we then examined the relationship between blood lead and blood pressure and the predictors of blood pressure elevation in study population. The mean systolic blood pressure was significantly higher in the study subjects compared to controls 118.49 (1.065) mmHg vs 113.62 (1.265) mmHg, while there was no significant difference in the diastolic blood pressure of both groups 74.64 (0.7967) mmHg vs 73.10 (0.8173). This study also reported a higher frequency of systolic (9.47% vs 1.25%) and diastolic hypertension (9.5% vs 2.5%) in the study subject compared to controls with a significant higher relative risk.</p><p>The findings in this study are consistent with that of Pergrande et al. [<xref ref-type="bibr" rid="scirp.94328-ref50">50</xref>] who reported higher systolic blood pressure in lead exposed workers compared to controls and similar diastolic blood pressure in both groups. Were et al. [<xref ref-type="bibr" rid="scirp.94328-ref21">21</xref>] in a study of an occupational population in Kenya reported a high prevalence of hypertension as approximately 30% of workers had hypertensive range blood pressure with an average systolic and diastolic blood pressure (BP) of 134.7 &#177; 12.7 mmHg and 86.4 &#177; 8.9 mmHg, respectively, in comparison with the findings of this study which also showed higher prevalence of Hypertension in lead exposed workers. The finding of this study of a higher risk of hypertension in workers with higher lead levels also matches the report from Han et al. [<xref ref-type="bibr" rid="scirp.94328-ref7">7</xref>] in an occupational exposed population study in China reporting higher rates and risk of hypertension in workers with higher levels of lead exposure; and Nomiyama et al. [<xref ref-type="bibr" rid="scirp.94328-ref23">23</xref>] who reported a positive association between blood lead and systolic blood and diastolic blood pressure in lead workers especially at concentrations higher than 40 &#181;g/dl. Other population based studies [<xref ref-type="bibr" rid="scirp.94328-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref20">20</xref>] and studies among hypertensive populations [<xref ref-type="bibr" rid="scirp.94328-ref24">24</xref>] also report higher prevalence and risk of elevated blood pressure in relation to higher blood lead levels.</p><p>The significantly higher systolic blood pressure level and the higher prevalence of hypertension based on both systolic and diastolic blood pressure values in the hypertensive range observed in the occupational exposed subjects compared to controls indicate that lead exposed subjects have a higher likelihood of developing hypertension in this study. The probable mechanisms by which lead exposure results in elevated blood pressure include interference by lead with sodium-lithium counter cation transport system in the same direction as observed in essential hypertension [<xref ref-type="bibr" rid="scirp.94328-ref51">51</xref>] ; in addition to the direct effects on arterial smooth muscle through its interference with calcium metabolism by increasing free intracellular calcium concentrations and inhibition of vascular smooth muscle (Na-K-ATPase) resulting in increased vascular smooth muscle tone and vascular contractility [<xref ref-type="bibr" rid="scirp.94328-ref52">52</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref53">53</xref>] . Additional pathways for lead induced blood pressure elevation include increase in the vasoconstrictor endothelin-3 (ET-3) [<xref ref-type="bibr" rid="scirp.94328-ref54">54</xref>] and lead indirect effect through reactive oxygen species (ROS) [<xref ref-type="bibr" rid="scirp.94328-ref55">55</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref56">56</xref>] which inactivate nitric oxide (NO) and cause a decrease in the vasodilator hormone endothelial derived growth factor (EDRF). Studies have also shown increase in plasma renin activity (PRA) [<xref ref-type="bibr" rid="scirp.94328-ref57">57</xref>] ; effects on the renin angiotensin system (RAS) and vascular beta adrenergic and dopaminergic activity as routes through which lead results in blood pressure increase [<xref ref-type="bibr" rid="scirp.94328-ref58">58</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref59">59</xref>] . The above outlined mechanisms of lead induced blood pressure elevation may therefore explain the significantly elevated systolic blood pressure in the study subjects.</p><p>Though this study found significantly higher prevalence of hypertension and higher mean systolic blood pressure in the study subjects with higher blood lead levels there was no correlations with blood lead the only biomarker of lead exposure in this study and blood pressure. Cheng et al. [<xref ref-type="bibr" rid="scirp.94328-ref8">8</xref>] , did not find a direct correlation between blood lead and blood pressure, but reported a correlation between bone lead levels and hypertension. In conformity with the finding of this study Sadeghniiat-Haghighi et al. [<xref ref-type="bibr" rid="scirp.94328-ref30">30</xref>] documented a borderline non-significant association between blood lead and systolic blood pressure and no association with diastolic blood pressure though chelated lead was significantly associated with systolic blood pressure increases. In contrast to our findings positive association between blood lead and systolic and diastolic blood pressure have also been reported by many studies [<xref ref-type="bibr" rid="scirp.94328-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref24">24</xref>] . The lack of correlation of BLL and hypertension in this study may be a function of the effectiveness of BLL a marker of lead exposure function as studies [<xref ref-type="bibr" rid="scirp.94328-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref9">9</xref>] suggest that use of long term and equilibrated lead exposure markers such as bone lead may be more reliable.</p><p>In spite of lack of evidence of correlation between blood lead and hypertension in this study; the duration of occupation (DOC) an index of the length of lead exposure correlated positively with systolic and diastolic blood pressure on bivariate correlation and linear regression. The results of the multiple linear regression analysis model in this study showed that DOC was also independently significantly and positively correlated with SBP [r = 0.532, r<sup>2</sup> = 0.238, p = 0.000], however the association between DOC and DBP was not significant, p = 0.215. The results of multiple linear regression analysis model in this study showed that the significant predictors of increasing systolic blood pressure were increasing age p = 0.000, alcohol consumption p = 0.003 and BMI p = 0.031. In comparison with the results of this study the following variables of Age [<xref ref-type="bibr" rid="scirp.94328-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref21">21</xref>] , BMI [<xref ref-type="bibr" rid="scirp.94328-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref30">30</xref>] and DOC [<xref ref-type="bibr" rid="scirp.94328-ref21">21</xref>] have also been reported as predictors which influence blood pressure elevation associated with lead exposure by other studies. Other factors which were not identified in this study but reported in others [<xref ref-type="bibr" rid="scirp.94328-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref30">30</xref>] include cigarette smoking. The black race has also been reported as a risk for elevated blood pressure associated with lead exposure as reported in NHANES III study analysis [<xref ref-type="bibr" rid="scirp.94328-ref16">16</xref>] and the normative aging study [<xref ref-type="bibr" rid="scirp.94328-ref9">9</xref>] . This study was also done in a black population.</p><p>The relationship of blood pressure and other variables found in this study, may show that subjects with prolonged DOC with exposure to lead are more at risk of higher systolic blood pressure level compared to the controls.</p><p>The association of increasing age, alcohol consumption, BMI and blood pressure found in the study indicates the importance of these lifestyle measures in promoting hypertension as documented in existing studies [<xref ref-type="bibr" rid="scirp.94328-ref60">60</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref61">61</xref>] .</p><p>In conclusion, the study found an association between blood pressure elevation and lead exposure with higher systolic blood pressure and higher prevalence of hypertension. The study also found increasing BMI, Age and alcohol consumption as the significant predictors of increasing systolic blood pressure. While the study does not establish any statistical correlation between blood lead level and blood pressure the presence of higher blood pressure levels and higher prevalence of hypertension in the lead exposed subjects should be taken seriously.</p><p>Consequently larger and more longitudinal studies on the relationship between lead exposure including other lead exposure markers like bone lead and α amino levulonic acid dehydratase (ALAD) [<xref ref-type="bibr" rid="scirp.94328-ref44">44</xref>] among others should be performed to evaluate, hypertension and other systemic toxicities in this environment where lead exposure is prevalent, unregulated and awareness is low.</p><p>The reduction of environmental and occupational lead exposure needs to be prioritized and made a public health issue in Nigeria especially in subjects engaged in risk occupations. In furtherance of this goal, efforts should be intensified to improve the low awareness and regulation of lead exposure and toxicity [<xref ref-type="bibr" rid="scirp.94328-ref41">41</xref>] ; while the expected gains from the reduction of leaded gasoline use in the country [<xref ref-type="bibr" rid="scirp.94328-ref62">62</xref>] , should be complemented by other strategies which include the reduction of the high level of lead in paint and pigment [<xref ref-type="bibr" rid="scirp.94328-ref63">63</xref>] [<xref ref-type="bibr" rid="scirp.94328-ref64">64</xref>] and other sources of lead exposure [<xref ref-type="bibr" rid="scirp.94328-ref65">65</xref>] . The risk from unregulated ore mining [<xref ref-type="bibr" rid="scirp.94328-ref40">40</xref>] and other artisanal occupational activities which promote lead exposure ought to be reduced through tougher environmental and occupational regulation of lead exposure in order to reduce the high burden and cost of lead exposure and toxicity in Nigeria, with its established impact on cardiovascular related diseases like hypertension [<xref ref-type="bibr" rid="scirp.94328-ref66">66</xref>] .</p></sec><sec id="s5"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s6"><title>Cite this paper</title><p>Alasia, D.D. and Iyagba, A.M. (2019) The Blood Lead, Blood Pressure Connection: An Evaluation of Apparently Healthy Lead Exposed Workers in Nigeria. 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