<?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">OJRD</journal-id><journal-title-group><journal-title>Open Journal of Respiratory Diseases</journal-title></journal-title-group><issn pub-type="epub">2163-940X</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojrd.2020.102004</article-id><article-id pub-id-type="publisher-id">OJRD-99470</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>
 
 
  Respiratory Symptoms Associated with Workplaces Located along a Road with High-Traffic at Cotonou, Benin
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Parfait</surname><given-names>Houngbégnon</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>Hervé</surname><given-names>Lawin</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Marius</surname><given-names>Kêdoté</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Affoussatou</surname><given-names>Amadou</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Eloïc</surname><given-names>Atindegla</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Benjamin</surname><given-names>Fayomi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Simplice</surname><given-names>Dossou-Gbété</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Victoire</surname><given-names>Agueh</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Unité de Recherche en Microbiologie Appliquée et Pharmacologie des substances naturelles, University of Abomey-Calavi, Abomey-Calavi, Benin</addr-line></aff><aff id="aff2"><addr-line>EcoHealth Chair, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin</addr-line></aff><aff id="aff1"><addr-line>Institut Régional de Santé Publique, University of Abomey-Calavi, Ouidah, Benin</addr-line></aff><aff id="aff5"><addr-line>Laboratoire de Mathématiques et leurs Applications de Pau (LMAP) UMR CNRS, Université de Pau et des pays de l’Adour, Pau, France</addr-line></aff><aff id="aff4"><addr-line>Institut de Recherche Clinique du Bénin, Abomey-Calavi, Benin</addr-line></aff><pub-date pub-type="epub"><day>03</day><month>04</month><year>2020</year></pub-date><volume>10</volume><issue>02</issue><fpage>32</fpage><lpage>42</lpage><history><date date-type="received"><day>9,</day>	<month>November</month>	<year>2019</year></date><date date-type="rev-recd"><day>10,</day>	<month>April</month>	<year>2020</year>	</date><date date-type="accepted"><day>13,</day>	<month>April</month>	<year>2020</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: Air pollution is becoming one of the public concerns requiring urgent feasible response per local context. Defining accurately the level of exposure of outdoor air pollution effect on health of venders working along main roads and roundabouts with high traffic is important. This study was conducted to assess respiratory health risks on venders associated with different geographical positions in Cotonou. 
  Methods: A cross-sectional study was conducted along the main road with high traffic including three roundabouts in Cotonou. The 194 study participants from all shops, one respondent per shop, were given a unique GPS data associated to indicate the shop’s geographical position. The study employed validated questionnaire on respiratory symptoms. 
  Results: Study participants had mean age of 36.26 (&#177;11.65) years with sex ratio of (M/F) 1.8. Majority (72.7%) of study participates reported to have at least one respiratory symptom and 69% of them were working in non-ventilated rooms. The proportion of having at least one respiratory symptom was significantly different (p &lt; 0.001) between the subpopulations at roundabouts (96.15%) and apart from the roundabouts (64.08%). The most reported symptoms were cough (47.94%) and itchy nose (42.27%). The risk of cough (OR = 5.15; 95% CI = [2.21 - 12.04]; p &lt; 0.001) and itchy nose symptoms (OR = 3.44; 95% CI = [1.55 - 7.63]; p = 0.002) were higher in individuals working at the roundabouts compared to those working along the main road. 
  Conclusion: Working in roundabout is associated with more respiratory symptoms than working in shops along main road. Air pollution mitigation efforts should focus in such settings, taking into account the sub-population of workers in resource limited countries.
 
</p></abstract><kwd-group><kwd>Air Pollution</kwd><kwd> High Traffic</kwd><kwd> Roundabouts</kwd><kwd> Vendors</kwd><kwd> Health Risk</kwd><kwd> Symptom</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Air pollution related to road traffic is a real challenge not only for health, but also for sustainable development and the reduction of environmental inequalities for most major urban areas [<xref ref-type="bibr" rid="scirp.99470-ref1">1</xref>]. Living or working along a main road with high traffic is harmful for the health. Several studies have shown that living near a heavily trafficked road has significant risks to respiratory health [<xref ref-type="bibr" rid="scirp.99470-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.99470-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.99470-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.99470-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.99470-ref6">6</xref>].</p><p>Industrialization and socio-economic situation in urban areas, local air pollution level is increasing and is leading to an increasing rate of mortality and morbidity [<xref ref-type="bibr" rid="scirp.99470-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.99470-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.99470-ref9">9</xref>]. Several pollutants emitted into the atmosphere such as fine particulates (PM 2.5) are associated with respiratory diseases such as asthma, flu, etc. [<xref ref-type="bibr" rid="scirp.99470-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.99470-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.99470-ref11">11</xref>]. The area of influence of these emissions, however, remains difficult to delimit. Knowledge of pollutant dispersal mechanisms at the street and neighborhood level is still incomplete [<xref ref-type="bibr" rid="scirp.99470-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.99470-ref12">12</xref>]. Although air pollution is threat globally, it may differently affect people due to activities influencing locally their level of exposure. Working in a room along a main road or in a roundabout with high traffic may lead to a different level of exposure in the workplace [<xref ref-type="bibr" rid="scirp.99470-ref13">13</xref>]. The specificity of this geographical position is rarely taken into account in studies which mainly focused on comparison of health risk in people living or working along main roads and those living or working further away from main roads. The current study took into account this specificity when characterizing respiratory health risks in populations working near the road traffic. Thus, the aim of our study was to see near a road with high traffic if there is a difference in the risk of respiratory symptoms between the subpopulation working at the roundabouts and the subpopulation working outside the roundabouts.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Study Site and Population</title><p>This study took place at Cotonou, main economic city of Benin. We have included all the shops that were located on the portion of road in <xref ref-type="fig" rid="fig1">Figure 1</xref> from point A to point C via point B. This portion of the road is 4.5 Km long and the traffic is very high throughout the day because it serves the largest market in the city and the port of Cotonou. This road included three roundabouts represented by points A, B and C. For example, the main roundabout B is represented on <xref ref-type="fig" rid="fig2">Figure 2</xref>. One person per shop was included in the current study. When there</p><p>was more than one person in the office, we interviewed the oldest one. It allowed us to associate at each respondent a unique GPS coordinates of his workplace. We counted a total of 203 shops in the study site. In 194 of these shops, people accepted to participate in the study so we interviewed 194 individuals.</p><p>Data collection</p><p>A validated questionnaire https://www.ncbi.nlm.nih.gov/pubmed/30065166 on respiratory symptoms (cough, expectoration, wheezing, breathlessness, itchy nose) was administered to the participants of the study. The questionnaire also collected information on the ventilation of buildings, the duration of occupation, GPS coordinates and some socio demographic characteristics of the respondents. For data collection we developed an electronic case report form that integrate taking GPS coordinates. The data were collected in November 2018.</p></sec><sec id="s2_2"><title>2.2. Data Analysis</title><p>In the first part, we presented the socio demographic characteristics of the respondents and the frequency of respiratory symptoms. The test of chi-square or t-student was used to compare respectively proportion and mean in the two groups that are roundabout and outside the roundabout. The second part was devoted to the cartography of the different respiratory symptoms.</p><p>A logistic regression model was performed to assess the association between the occurrence of respiratory symptoms and the geographical location of participant's workplace (roundabout vs outside of roundabout). For the first model, the dependent variable was cough (presence or absence of symptom). For the second model, the dependent variable was itchy nose (presence or absence of symptom). The both models were adjusted on age, level of instruction, seniority on the site, and aeration of the occupied room. Analysis was performed using Stata software and p-value was considered significant when p-value &lt; 0.05.</p></sec><sec id="s2_3"><title>2.3. Ethical Clearance</title><p>The present study is part of the project ChairePOL that received the final approval ethic on the number N˚032/MS/DC/SGM/DFR/CNERS/SA du 15 octobre 2018. Based on this, the participants were interviewed after giving their informed consent.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Characteristics of Respondents</title><p>The characteristics of respondents are presented in <xref ref-type="table" rid="table1">Table 1</xref>. The sex ratio (M/F) was 1.8. It was 1.6 at roundabout against 1.8 outside the roundabout. The average age of respondents was 36.26 &#177; 11.65 years. There was no statistically significant difference between the two zones (p = 0.38). The study population was predominantly educated (86.6%). This situation was very different between the two groups. At roundabout, 36.54% of respondents had not attended school compared to only 4.93% among respondents outside the roundabout. About 20% and 60% of participants have spent respectively at least ten years and at least four years in their job. The distribution of seniority at the place was significantly different between the two zones (p &lt; 0.001). At roundabout nearly half of the respondents had already more than 10 years of seniority at the place compared to only about 10% of those interviewed along the road. 69.07% of participants worked in the building that was not well ventilated.</p></sec><sec id="s3_2"><title>3.2. Prevalence of Respiratory Symptoms in Relation to Zones</title><p>The proportion of each type of respiratory symptom is presented in <xref ref-type="table" rid="table2">Table 2</xref>. 72.68% of respondents reported having at least one of the five respiratory symptoms. This proportion was significantly different (p &lt; 0.001) between the subpopulation at roundabout (96.15%) and out the roundabout (64.08%). The most reported symptoms by the respondents were respectively cough (47.94%),</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> The characteristics of respondents</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Characteristics</th><th align="center" valign="middle" >Roundabouts</th><th align="center" valign="middle" >Outside roundabouts</th><th align="center" valign="middle" >Total</th><th align="center" valign="middle" >p-value</th></tr></thead><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.68</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >32 (61.54%)</td><td align="center" valign="middle" >92 (64.79%)</td><td align="center" valign="middle" >124 (63.92%)</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" >20 (38.46%)</td><td align="center" valign="middle" >50 (35.21%)</td><td align="center" valign="middle" >70 (36.08%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Age in classes of years</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.38</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Mean &#177; Standard Deviation</td><td align="center" valign="middle" >37.48 &#177; 12.68</td><td align="center" valign="middle" >35.81 &#177; 11.26</td><td align="center" valign="middle" >36.26 &#177; 11.65</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Educational level</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Not at school</td><td align="center" valign="middle" >19 (36.54%)</td><td align="center" valign="middle" >7 (4.93%)</td><td align="center" valign="middle" >26 (13.40%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >13 (25.00%)</td><td align="center" valign="middle" >28 (19.72%)</td><td align="center" valign="middle" >41 (21.13%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Lower secondary</td><td align="center" valign="middle" >14 (26.92%)</td><td align="center" valign="middle" >56 (39.44%)</td><td align="center" valign="middle" >70 (36.08%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >High secondary or more</td><td align="center" valign="middle" >6 (11.54%)</td><td align="center" valign="middle" >51 (35.92%)</td><td align="center" valign="middle" >57 (29.38%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Seniority at the place (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;1</td><td align="center" valign="middle" >3 (5.77%)</td><td align="center" valign="middle" >15 (10.56%)</td><td align="center" valign="middle" >18 (9.28%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >1 - 3</td><td align="center" valign="middle" >7 (13.46%)</td><td align="center" valign="middle" >53 (37.32%)</td><td align="center" valign="middle" >60 (30.93%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >4 - 6</td><td align="center" valign="middle" >12 (23.08%)</td><td align="center" valign="middle" >47 (33.10%)</td><td align="center" valign="middle" >59 (30.41%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >7 - 9</td><td align="center" valign="middle" >6 (11.54%)</td><td align="center" valign="middle" >13 (9.15%)</td><td align="center" valign="middle" >19 (9.79%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >≥10</td><td align="center" valign="middle" >24 (46.15%)</td><td align="center" valign="middle" >14 (9.86%)</td><td align="center" valign="middle" >38 (19.59%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Works and lives in the place</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >4 (7.69%)</td><td align="center" valign="middle" >13 (9.15%)</td><td align="center" valign="middle" >17 (8.76%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >48 (92.31%)</td><td align="center" valign="middle" >129 (90.85%)</td><td align="center" valign="middle" >177 (91.24%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Ventilated room</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.47</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >14 (26.92%)</td><td align="center" valign="middle" >46 (32.39%)</td><td align="center" valign="middle" >60 (30.93%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >38 (73.08%)</td><td align="center" valign="middle" >96 (67.61%)</td><td align="center" valign="middle" >134 (69.07%)</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> Proportion of respiratory symptoms according to the zone</title></caption><table-wrap id="2_1"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="3"  >Respiratory symptoms</th><th align="center" valign="middle" >Roundabouts n (%)</th><th align="center" valign="middle" >Outside roundabouts n (%)</th><th align="center" valign="middle" >Total n (%)</th><th align="center" valign="middle" >p-value</th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >Cough</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.0001</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >Yes</td><td align="center" valign="middle" >41 (78.85)</td><td align="center" valign="middle" >52 (36.62)</td><td align="center" valign="middle" >93 (47.94)</td><td align="center" valign="middle"  rowspan="2"  ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >No</td><td align="center" valign="middle" >11 (21.15)</td><td align="center" valign="middle" >90 (63.38)</td><td align="center" valign="middle" >101 (52.06)</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Spits from the chest</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.01</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >Yes</td><td align="center" valign="middle" >19 (36.54)</td><td align="center" valign="middle" >22 (15.49)</td><td align="center" valign="middle" >41 (21.13)</td><td align="center" valign="middle"  rowspan="2"  ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >No</td><td align="center" valign="middle" >33 (63.46)</td><td align="center" valign="middle" >120 (84.51)</td><td align="center" valign="middle" >153 (78.87)</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Whistles</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.017</td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >12 (23.08)</td><td align="center" valign="middle" >14 (9.86)</td><td align="center" valign="middle" >26 (13.40)</td><td align="center" valign="middle"  rowspan="2"  ></td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >40 (76.92)</td><td align="center" valign="middle" >128 (90.14)</td><td align="center" valign="middle" >168 (86.60)</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></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"  colspan="2"  >Breathlessness</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >0.003</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >23 (44.23)</td><td align="center" valign="middle" >32 (22.54)</td><td align="center" valign="middle" >55 (28.35)</td><td align="center" valign="middle"  rowspan="2"  ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >29 (55.77)</td><td align="center" valign="middle" >110 (77.46)</td><td align="center" valign="middle" >139 (71.65)</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Itchy nose</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >36 (69.23)</td><td align="center" valign="middle" >46 (32.39)</td><td align="center" valign="middle" >82 (42.27)</td><td align="center" valign="middle"  rowspan="2"  ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >16 (30.77)</td><td align="center" valign="middle" >96 (67.61)</td><td align="center" valign="middle" >112 (57.73)</td></tr><tr><td align="center" valign="middle"  colspan="4"  >At least one reported symptom</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >50 (96.15)</td><td align="center" valign="middle" >91 (64.08)</td><td align="center" valign="middle" >141 (72.68)</td><td align="center" valign="middle"  rowspan="2"  ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >No</td><td align="center" valign="middle" >2 (3.8)</td><td align="center" valign="middle" >51 (35.92)</td><td align="center" valign="middle" >53 (27.32)</td></tr></tbody></table></table-wrap></table-wrap-group><p>itchy nose (42.27%) and breathlessness (28.35%). For each of the respiratory symptoms, the proportion was significantly higher at the roundabout than outside the roundabouts.</p><p><xref ref-type="fig" rid="fig3">Figure 3</xref> shows the spatial distribution of symptom of cough.</p><p>The multivariate logistic regression to estimate the risk of having a respiratory symptom at roundabout compared to outside the roundabout is presented in <xref ref-type="table" rid="table3">Table 3</xref>.</p><p>The results of logistic regression model showed that the presence of cough and itchy nose were high significantly associated with the place. The risk of cough symptoms was 5.15 higher in a person exercising at the roundabout compared to a person exercising along the road (OR = 5.15; 95% CI = [2.21; 12.04]; p &lt; 0.001). The risk of itchy nose symptoms was 3.44 higher in a person exercising at the roundabout compared to a person exercising along the road (OR = 3.44; 95% CI = [1.55; 7.63]; p = 0.002).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>The aim of this study was to compare the risk of respiratory symptoms between</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Multivariate logistic regression to estimate the risk of having a cough or an Itchy nose at roundabout compared to outside the roundabout</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="3"  >Cough</th><th align="center" valign="middle"  colspan="3"  >Itchy nose</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >OR</td><td align="center" valign="middle" >95% CI</td><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >OR</td><td align="center" valign="middle" >95% CI</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Place</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></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" >Outside roundabout</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</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" >Roundabout</td><td align="center" valign="middle" >5.15</td><td align="center" valign="middle" >[2.21; 12.04]</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >3.44</td><td align="center" valign="middle" >[1.55; 7.63]</td><td align="center" valign="middle" >0.002</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Age in years</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></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" >&lt; 25</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</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 - 34</td><td align="center" valign="middle" >0.63</td><td align="center" valign="middle" >[0.22; 1.77]</td><td align="center" valign="middle" >0.38</td><td align="center" valign="middle" >1.51</td><td align="center" valign="middle" >[0.54; 4.2]</td><td align="center" valign="middle" >0.428</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >35 - 44</td><td align="center" valign="middle" >0.43</td><td align="center" valign="middle" >[0.15; 1.25]</td><td align="center" valign="middle" >0.122</td><td align="center" valign="middle" >0.74</td><td align="center" valign="middle" >[0.26; 2.11]</td><td align="center" valign="middle" >0.569</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >≥ 45</td><td align="center" valign="middle" >0.96</td><td align="center" valign="middle" >[0.3; 3.04]</td><td align="center" valign="middle" >0.943</td><td align="center" valign="middle" >1.28</td><td align="center" valign="middle" >[0.41; 4.04]</td><td align="center" valign="middle" >0.67</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Educational level</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></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" >Not at school</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</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" >Primary</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >[0.17; 2.08]</td><td align="center" valign="middle" >0.424</td><td align="center" valign="middle" >0.73</td><td align="center" valign="middle" >[0.22; 2.39]</td><td align="center" valign="middle" >0.607</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Secondary or more</td><td align="center" valign="middle" >0.48</td><td align="center" valign="middle" >[0.15; 1.5]</td><td align="center" valign="middle" >0.204</td><td align="center" valign="middle" >0.59</td><td align="center" valign="middle" >[0.2; 1.76]</td><td align="center" valign="middle" >0.34</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Seniority at the place</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></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" >≤3</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</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" >4 - 9</td><td align="center" valign="middle" >1.89</td><td align="center" valign="middle" >[0.59; 6.07]</td><td align="center" valign="middle" >0.283</td><td align="center" valign="middle" >0.88</td><td align="center" valign="middle" >[0.29; 2.66]</td><td align="center" valign="middle" >0.826</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >≥10</td><td align="center" valign="middle" >1.66</td><td align="center" valign="middle" >[0.45; 6.1]</td><td align="center" valign="middle" >0.445</td><td align="center" valign="middle" >1.31</td><td align="center" valign="middle" >[0.38; 4.54]</td><td align="center" valign="middle" >0.67</td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></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" >Male</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</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" >1.39</td><td align="center" valign="middle" >[0.71; 2.72]</td><td align="center" valign="middle" >0.343</td><td align="center" valign="middle" >1.56</td><td align="center" valign="middle" >[0.79; 3.06]</td><td align="center" valign="middle" >0.198</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Ventilated room</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></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" >Yes</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</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" >No</td><td align="center" valign="middle" >1.1</td><td align="center" valign="middle" >[0.56; 2.19]</td><td align="center" valign="middle" >0.779</td><td align="center" valign="middle" >1.5</td><td align="center" valign="middle" >[0.75; 3.02]</td><td align="center" valign="middle" >0.251</td></tr></tbody></table></table-wrap><p>OR = Odds Ratio from Multivariate Logistic Regression; CI = Confidence interval.</p><p>the subpopulation working at the roundabouts and the subpopulation working outside of the roundabouts. The analysis of data collected allowed us to highlight some factors that increase the risk of having respiratory symptoms, the prevalence of respiratory symptoms in the proximity of road traffic and finally we have proven that there is a difference in the risk of respiratory symptoms between roundabouts and outside roundabouts.</p><sec id="s4_1"><title>4.1. Factors That Increase the Risk of Having Respiratory Symptoms</title><p>The seniority of the participants on their work is very important. Approximately 20% of them have already spent at least ten years and approximately 60% have already spent at least four years. The duration of exposure to air pollution, especially road traffic, is an important risk factor in the occurrence of respiratory diseases. Indeed, several epidemiological studies have demonstrated that long-term exposure to road traffic as indicated by residential proximity to major roadways or residential traffic intensity is associated with adverse cardiovascular outcomes [<xref ref-type="bibr" rid="scirp.99470-ref14">14</xref>] and cardiopulmonary mortality [<xref ref-type="bibr" rid="scirp.99470-ref15">15</xref>]. Hoek et al. have conducted a pilot cohort study in the Netherlands and found that there was evidence of increasing that long-term exposure to ambient air pollution is associated with deaths from cardiopulmory diseases [<xref ref-type="bibr" rid="scirp.99470-ref16">16</xref>]. In the same vein, Stevanović et al. found that a long term exposure to air pollutants unfavorably influences the health of population and is a risk factor for development and aggravation of certains symptoms and diseases [<xref ref-type="bibr" rid="scirp.99470-ref17">17</xref>]. The analysis of the results of this study also revealed that the majority of the participants worked in non-ventilated rooms. This lack of ventilation leads to a lack of air exchange in the rooms. The compilation of pollutants in the rooms has an accumulating effect, resulting in a condensation of polluted air in them. Thus, in a study conducted in Helsinki and Amsterdam [<xref ref-type="bibr" rid="scirp.99470-ref1">1</xref>], it was estimated that 70% to 84% of some pollutants, measured indoors, came from outside (the internal source linked to smoking being absent in this study). The poor ventilation of work rooms close to road traffic is an important risk factor in the occurrence of respiratory diseases.</p></sec><sec id="s4_2"><title>4.2. Prevalence of Respiratory Symptoms in the Proximity of Road Traffic</title><p>Our results show that the majority of participants (72.68%) reported the presence of at least one respiratory symptom. The cough, the itchy nose, the breathlessness and the spits from the chest were the main respiratory symptoms reported by participants. These results are consistent with the results of Garshick et al. who have found that exposure to vehicular emissions by living near busy roadways might contributed to symptoms of chronic respiratory disease in adults [<xref ref-type="bibr" rid="scirp.99470-ref18">18</xref>]. The similar result was found by Bayer-Oglesby et al. who concluded that living close to main streets or in a dense street network increases the risks for certain respiratory symptoms in adults [<xref ref-type="bibr" rid="scirp.99470-ref19">19</xref>]. In Beijing, long-term exposure to traffic-related air pollution in people who live near major roads was associated with a higher prevalence of chronic cough [<xref ref-type="bibr" rid="scirp.99470-ref20">20</xref>]. And finally, Hegseth et al found statistically significant associations between self-reported TRAP (traffic-related air pollution) exposure and respiratory symptoms in a large, random sample from a population living in an area with modest TRAP levels [<xref ref-type="bibr" rid="scirp.99470-ref21">21</xref>].</p></sec><sec id="s4_3"><title>4.3. Difference in Risk of Respiratory Symptoms between Roundabouts and Outside Roundabouts</title><p>For the multivariate logistic regression analysis, age, education level, seniority at the place, gender and room ventilation were used as factors to fit the model. The main result highlighted in this work is the difference in risk of respiratory symptoms between roundabouts and outside roundabouts. The risk of cough and itchy nose symptoms were higher in individuals working at the roundabouts compared to those working part from the roundabouts. Zmirou et al., in 2004, showed through their study that the risk of developing asthma and respiratory symptoms such as exacerbation of asthma and infections is higher, depending on the location and the distance occupied from each other to road traffic [<xref ref-type="bibr" rid="scirp.99470-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.99470-ref23">23</xref>].</p><p>As we have shown in previous work [<xref ref-type="bibr" rid="scirp.99470-ref13">13</xref>], concentration levels of pollutants, particularly PM2.5, were higher at roundabouts than outside roundabouts.</p><p>During periods of low traffic, pollution levels are equivalent to the general atmosphere of the neighborhood where the axis is located. On the other hand, when the road traffic is important, to this general atmosphere is added the pollution directly induced by the traffic [<xref ref-type="bibr" rid="scirp.99470-ref24">24</xref>]. Along the road traffic, it is observed a dispersion of pollutants which reduces the risk incurred by workers near road traffic. The three roundabouts of our study, were located downtown, most of the companies are in town, there is a strong traffic often observed in this area especially to the hours of return of the service. This result is consistent with the results found by Wu et al in 2005 in Southern of California [<xref ref-type="bibr" rid="scirp.99470-ref25">25</xref>]. The presence of traffic lights at roundabouts is an important factor in the health risk associated with air pollution. In peak areas, pollutants released into the air by motorcycles and vehicles create a fog effect in this area. As for stationed workers, their sales room serves as a receptacle for these pollutants in suspension. Hence a transfer of pollution from the outside to the inside of the premises [<xref ref-type="bibr" rid="scirp.99470-ref26">26</xref>]. These indicate that premises near traffic are likely to be more polluted than those located in an environment less directly influenced by pollution sources, although indoor pollution levels are also conditioned by ventilation and the indoor environment [<xref ref-type="bibr" rid="scirp.99470-ref12">12</xref>].</p></sec></sec><sec id="s5"><title>5. Conclusions</title><p>In this work we were unable to take into account the participants’ history of respiratory symptoms and also their exposure outside their workplace. Despite these limitations, our study showed that the risk of respiratory symptoms was higher in the subpopulation exercising at the roundabout compared to the subpopulation exercising along the road. We could conclude that work near roundabouts is more dangerous for respiratory health. However, these two sub-populations are all greatly exposed to respiratory health risks due to their seniority and the non-ventilation of their work rooms.</p><p>In resources, poor limited settings, some geographical positions such as roundabouts can be taken into account in the air pollution effect mitigation. In additions to that, efforts must be made to improve the ventilation of the working rooms.</p></sec><sec id="s6"><title>Acknowledgements</title><p>“Le financement de cette &#233;tude a &#233;t&#233; accord&#233; par le Centre de Recherches pour le D&#233;veloppement International (CRDI) dans le cadre du projet “Chairepol” (projet CRDI 107347) de la Communaut&#233; de pratique en &#233;cosant&#233; pour l’Afrique de l’Ouest et du Centre (CoPES-AOC)/Chaire ECOSANTE”.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Houngb&#233;gnon, P., Lawin, H., K&#234;dot&#233;, M., Amadou, A., Atindegla, E., Fayomi, B., Dossou-Gb&#233;t&#233;, S. and Agueh, V. (2020) Respiratory Symptoms Associated with Workplaces Located along a Road with High-Traffic at Cotonou, Benin. 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