<?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.2022.104021</article-id><article-id pub-id-type="publisher-id">ODEM-121012</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>
 
 
  Association between Respirable Dust Exposure and Respiratory Health Concerns among Workers in Apparel Processing Companies in Export Processing Zone (EPZ) in Machakos County, Kenya
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Owino</surname><given-names>A. Otieno</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>Paul</surname><given-names>M. Njogu</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>Dennis</surname><given-names>Magu</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Institute of Energy and Environmental Technology, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya</addr-line></aff><aff id="aff2"><addr-line>Department of Environmental Health and Disease Control, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya</addr-line></aff><pub-date pub-type="epub"><day>19</day><month>10</month><year>2022</year></pub-date><volume>10</volume><issue>04</issue><fpage>271</fpage><lpage>291</lpage><history><date date-type="received"><day>15,</day>	<month>September</month>	<year>2022</year></date><date date-type="rev-recd"><day>4,</day>	<month>November</month>	<year>2022</year>	</date><date date-type="accepted"><day>7,</day>	<month>November</month>	<year>2022</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>
 
 
  Apparel processing is an essential industry in providing clothing needs for the population. The Export Processing Zone (EPZ) in Kenya employs many employees. Garment processing releases respirable dust particles, thus exposing workers to risks to the respiratory system. The study determined the respirable dust health concerns among workers in Apparel Processing Companies (APCs) in EPZ in Machakos County, Kenya. A cross-sectional descriptive design was employed where four companies were studied. Three hundred and sixty-seven participants were selected through systematic random sampling. Data was collected using questionnaires and Interview guides. The study established that workers were exposed to respirable dust PM
  <sub>2.5</sub> ranging from 40.89 &#177; 24.0 μg
  &amp;#903;m
  <sup>&amp;#8722;3</sup> to 87.49 &#177; 45.2 μg
  &amp;#903;m
  <sup>&amp;#8722;3</sup> with a mean of 65.61 &#177; 31.5 μg
  &amp;#903;m
  <sup>&amp;#8722;3</sup>. While PM
  <sub>2.5</sub> ranged from 63.59 &#177; 21.2 μg
  &amp;#903;m
  <sup>&amp;#8722;3</sup> to 313.41 &#177; 468.0 μg
  &amp;#903;m
  <sup>&amp;#8722;3</sup>. With a mean of 104.02 &#177; 26.0 μg
  &amp;#903;m
  <sup>&amp;#8722;3</sup>. Workers complained of different respirable dust-related diseases. The most prevalent conditions were sneezing and coughing (86.4%), chest pains (41.1%), blocked chests (36.8%), and allergic reactions to dust (18.3%). The APC should develop an OSH management system that includes; a dust management policy, dust monitoring, Risk Assessments, Engineering controls installations, medical examination, Training on dust management, PPE provision, and use enforcement.
 
</p></abstract><kwd-group><kwd>Apparel</kwd><kwd> Respirable Dust</kwd><kwd> Health Concerns</kwd><kwd> Occupational Safety and Health</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>EPZ was inaugurated in 1990 under the Export Processing Zones Act (Chapter 517) Laws of Kenya to promote the export of locally produced goods and services. KNBS (2019) [<xref ref-type="bibr" rid="scirp.121012-ref1">1</xref>] estimated Kenya’s Export earnings from the United States of America as Kshs. 47.3 billion in 2018, primarily from clothing and apparel products. APPAREL Processing Companies (APCs) are key among the industries within the EPZ. Thousands of workers are engaged in apparel processing companies in EPZ. Workers in apparel processing EPZ, Machakos County, Kenya, are exposed to respiratory dust hazards [<xref ref-type="bibr" rid="scirp.121012-ref2">2</xref>]. In sync, the law clearly states that every employee has the right to a safe and healthy working environment in accordance with the Occupational Safety and Health Act of 2007 [<xref ref-type="bibr" rid="scirp.121012-ref3">3</xref>].</p><p>This industry contributes significantly to the economy in Kenya and the global economy. The garment industry yields substantial revenue and income, predominantly to third-world countries. Kenya hosts thousands of apparel companies. Approximately 170 are medium and large, while 74,000 are small and micro companies. Twenty-one companies operate in the EPZ, employing an average of 1800 people per company. According to EPZA (2020) [<xref ref-type="bibr" rid="scirp.121012-ref4">4</xref>], the company directory on garments and garment-related activities has twenty-seven companies, of which thirteen are knitting/apparel manufacturing companies with a total of 21,752 employees.</p><p>One thousand employees die daily from occupational accidents worldwide [<xref ref-type="bibr" rid="scirp.121012-ref5">5</xref>]. There are practically 386,000 demises and close to 6,600,000 Disability Adjusted Life Years (DALYs) associated with respirable dust exposure at the workplace [<xref ref-type="bibr" rid="scirp.121012-ref6">6</xref>]. In addition, respiratory diseases at the workplace comprise 30% of reported occupational diseases, while it is assessed that 10% - 20% of fatalities result from respiratory-related health concerns [<xref ref-type="bibr" rid="scirp.121012-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.121012-ref8">8</xref>].</p><p>Coughing, wheezing and shortness of breath were common in workplaces [<xref ref-type="bibr" rid="scirp.121012-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.121012-ref10">10</xref>]. Jumat et al. (2021) [<xref ref-type="bibr" rid="scirp.121012-ref11">11</xref>] allude that workers in garment processing plants exposed to dust had worse respiratory outcomes because their employers could not provide personal protective equipment. According to a 2018 study by Ali et al. [<xref ref-type="bibr" rid="scirp.121012-ref12">12</xref>], 98.3% of workers in the apparel manufacturing industry either did not wear personal protective equipment or followed basic safety procedures. Sweepers (cleaners) typically experience respiratory symptoms such as phlegm, coughing, and wheezing because they were exposed to dust and were less equipped with reliable respiratory protection [<xref ref-type="bibr" rid="scirp.121012-ref13">13</xref>]. Similarly, wheezing and coughing were five to six times more common in exposed people than in non-exposed people [<xref ref-type="bibr" rid="scirp.121012-ref14">14</xref>].</p><p>Numerous cross-sectional and a few longitudinal investigations have been undertaken to identify chronic issues. In South Africa, 582 non-white grain workers and 153 controls were studied to establish any disparities in respiratory symptoms. No differences in lung function levels were found [<xref ref-type="bibr" rid="scirp.121012-ref15">15</xref>]. According to a Chinese study of in Chenyang, China, there are “highly significant differences in respiratory symptoms” [<xref ref-type="bibr" rid="scirp.121012-ref16">16</xref>]. In a Nigeria-based study, lung function levels did not differ between 75 workers and 48 controls [<xref ref-type="bibr" rid="scirp.121012-ref17">17</xref>]. There were significant differences in FEV and respiratory symptoms in 71 subjects in construction workers [<xref ref-type="bibr" rid="scirp.121012-ref18">18</xref>]. To a large extent, exposure levels exceeded 10 mg/m<sup>3</sup>. A study in Tanzania finds declining trends in occupational health and safety status in the factories on the verge of the expanding economy [<xref ref-type="bibr" rid="scirp.121012-ref19">19</xref>]. This was further accentuated by Hinson et al. (2007) [<xref ref-type="bibr" rid="scirp.121012-ref20">20</xref>] and Otieno et al. (2022) [<xref ref-type="bibr" rid="scirp.121012-ref9">9</xref>] in their study of apparel textile factories. The study revealed that 44% of employees had byssinosis. Furthermore, the study found that the frequency varied by working unit and age. Accordingly, this study aimed to assess respirable dust health concerns among workers in apparel processing companies in EPZ, Machakos County, Kenya.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Study Design</title><p>The study utilized a cross-sectional descriptive design to collect data on respirable dust health concerns among workers in Apparel processing companies in EPZ, Machakos County Kenya as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>. EPZ has a total of seven Apparel Processing Companies (APCs) which are registered by the Directorate of Occupational Safety and Health Services (DOSHS). The research purposively selected</p><p>4 companies for the study. The selected APCs had 7800 workers [<xref ref-type="bibr" rid="scirp.121012-ref4">4</xref>] study population. A sample size of 367 study participants was calculated using the Krejcie and Morgan (1970) formula [<xref ref-type="bibr" rid="scirp.121012-ref21">21</xref>]. The factories had different sections which include pressing and cutting’ Material relaxing; offices, midpoint, embroidery, sewing and dispatch. The research utilized proportionate distribution to sample employees from across all the departments, as presented in <xref ref-type="table" rid="table1">Table 1</xref>. The research coded participants and Factories for confidentiality purposes.</p></sec><sec id="s2_2"><title>2.2. Determining Respirable Dust Health Concern among Workers</title><p>The respirable dust health concerns were evaluated through in-depth interviews of the employees and medical facilities/officers. The study utilized structured questionnaires and a review of existing records. Data collection was undertaken in August, September, October and November 2021.</p></sec><sec id="s2_3"><title>2.3. Respirable Dust Measurement</title><p>Potable PM Equipment from Turnkey Osiris Airborne Particulate Monitor was used to measure respirable dust PM<sub>2.5</sub>. The monitor was positioned in a Lamp Post Box (LPB) to monitor respirable dust levels and then mounted on a stable platform about 2 meters above the ground. The measurements were undertaken in six units within APCs, including Cutting, Fusing and pressing, Midpoint, Sewing and Embroidery, Fabric relaxing and spreading and Office. Data was collected for periods of eight hours’ per factory in four months.</p></sec><sec id="s2_4"><title>2.4. Study Area and Population</title><p>The assessment was in EPZ in Machakos County, Kenya. The EPZ is located in Athi River, Machakos County, Kenya, as displayed in <xref ref-type="fig" rid="fig1">Figure 1</xref>. The Export Processing Zone Authority (EPZA) has about 21,750 employees according to EPZA directory [<xref ref-type="bibr" rid="scirp.121012-ref4">4</xref>].</p></sec><sec id="s2_5"><title>2.5. Data Analysis and Presentation</title><p>The study analyzed data using Statistical Package for the Social Science (SPSS) Version 25. Cleaning of data cleaning and validation helped achieve a clean data set for analysis.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Apparel Processing Companies in EPZ</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Code</th><th align="center" valign="middle" >Total No of Workers</th><th align="center" valign="middle" >No. of General employees sampled</th><th align="center" valign="middle" >No. of Management sampled</th><th align="center" valign="middle" >Total Sample Size</th></tr></thead><tr><td align="center" valign="middle" >APC1</td><td align="center" valign="middle" >200</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >11</td></tr><tr><td align="center" valign="middle" >APC2</td><td align="center" valign="middle" >600</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >28</td></tr><tr><td align="center" valign="middle" >APC3</td><td align="center" valign="middle" >4500</td><td align="center" valign="middle" >179</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >211</td></tr><tr><td align="center" valign="middle" >APC4</td><td align="center" valign="middle" >2500</td><td align="center" valign="middle" >102</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >117</td></tr><tr><td align="center" valign="middle" >TOTAL</td><td align="center" valign="middle" >7800</td><td align="center" valign="middle" >311</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >367</td></tr></tbody></table></table-wrap><p>Source: Author (2022).</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><p>The study reveals numerous findings as discussed in this chapter.</p><sec id="s3_1"><title>3.1. Distribution of the Study Population</title><p>Four apparel processing companies were studied, <xref ref-type="table" rid="table1">Table 1</xref> presents data on the four companies.</p><p>The companies engaged a different number of employees. Therefore, the study utilized proportionate distribution to determine the number of research participants from the four companies.</p></sec><sec id="s3_2"><title>3.2. Age and Gender</title><p><xref ref-type="table" rid="table2">Table 2</xref> shows the proportionate distribution of respondents who participated in the study. Close to 34% (122) of the respondents were aged between 29 - 39 years, while 31.3% (115) were aged between 18 - 28 years, whereas 26.7% (98) were between 40 - 50 years. More than 50% (190) of the respondents were female, while male counterparts were close to 48% (175). A comparable study by Cua (2018) [<xref ref-type="bibr" rid="scirp.121012-ref7">7</xref>] revealed that workers were between the ages of 25 to 40, which is the prime and productive age. According to the study, those below 25 years focus on their studies, while those above 40 are largely unwell, pushing them away from careers.</p></sec><sec id="s3_3"><title>3.3. Work Experience and Work Schedule in Apparel Processing Companies in EPZ</title><p>Most of the participants, 126 (34.6%), worked in the company for 0 - 2 years; more than a quarter of the workers, 112 (30.8%), worked in the factory for 2 - 4 years, whereas almost a quarter (85; 23.4%) operated in the factory for 4 - 6 years. A majority of 231 (63.1%) of the employees worked for over 8 hours on average per day, whereas more than a quarter, 36.9% (135), worked 1 - 8 hours on average per day. A significant proportion of the workers, 310 (85.6%), worked at night.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Age and gender of employees in Apparel Processing Companies in EPZ</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >n</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >Age</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >18 - 28</td><td align="center" valign="middle" >115</td><td align="center" valign="middle" >31.3</td></tr><tr><td align="center" valign="middle" >29 - 39</td><td align="center" valign="middle" >122</td><td align="center" valign="middle" >33.2</td></tr><tr><td align="center" valign="middle" >40 - 50</td><td align="center" valign="middle" >98</td><td align="center" valign="middle" >26.7</td></tr><tr><td align="center" valign="middle" >51 - 61</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >6.3</td></tr><tr><td align="center" valign="middle" >62 &amp; above</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >2.5</td></tr><tr><td align="center" valign="middle" >Gender</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >175</td><td align="center" valign="middle" >47.9</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >190</td><td align="center" valign="middle" >52.1</td></tr><tr><td align="center" valign="middle" >None Response</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Most 277 (88.8%) of the employees worked for over 8 hours on average per night, whereas a smaller proportion, 11.2% (35) worked 1 - 8 hours on average per night as displayed in <xref ref-type="table" rid="table3">Table 3</xref>. This can be associated with workers’ exposure to respirable dust for an average of 8 hours daily in apparel processing companies, EPZ Machakos County, Kenya. Lunde et al. (2020) [<xref ref-type="bibr" rid="scirp.121012-ref22">22</xref>] agree with the study findings that employees work for long hours, with an average of 8 hours, as represented by 71% of the employees. However, Rana’s (2005) [<xref ref-type="bibr" rid="scirp.121012-ref23">23</xref>] study reveals that in developed countries, working hours are primarily regulated between 2 to 4 hours for blue-collar jobs, as unveiled by 44% of the respondents. In addition, it was established that workers suffered from occupational diseases, including carotid intima-media thickness, resting heart rate etc. As a result of work schedules, including job rotation or shiftwork.</p></sec><sec id="s3_4"><title>3.4. Health Concerns among Workers and Medical Examination</title><p>As illustrated in <xref ref-type="table" rid="table4">Table 4</xref>, Less than half of the employees, 151 (41.1%), had pain in their chest. Less than half of the employees, 135 (36.8%), had a blocked chest. A small proportion, 13.1% (48), had pain in their lungs, whereas the majority, 317 (86.4%), was sneezing and coughing. A small proportion of the employees,</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Work experience and work schedule in Apparel Processing Companies in EPZ</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >n</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >Work Experience in the Factory</td></tr><tr><td align="center" valign="middle" >0 - 2 Years</td><td align="center" valign="middle" >126</td><td align="center" valign="middle" >34.6</td></tr><tr><td align="center" valign="middle" >2 - 4 Years</td><td align="center" valign="middle" >112</td><td align="center" valign="middle" >30.8</td></tr><tr><td align="center" valign="middle" >4 - 6 Years</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >23.4</td></tr><tr><td align="center" valign="middle" >6 - 8 Years</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >4.4</td></tr><tr><td align="center" valign="middle" >8 - 10 Years</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >2.5</td></tr><tr><td align="center" valign="middle" >Over 10 Years</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >4.4</td></tr><tr><td align="center" valign="middle" >None Response</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="3"  >Working Hours on Average Per Day</td></tr><tr><td align="center" valign="middle" >1 - 8 Hours</td><td align="center" valign="middle" >135</td><td align="center" valign="middle" >36.9</td></tr><tr><td align="center" valign="middle" >Over 8 Hours</td><td align="center" valign="middle" >231</td><td align="center" valign="middle" >63.1</td></tr><tr><td align="center" valign="middle" >None Response</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="3"  >Work at Night</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >310</td><td align="center" valign="middle" >85.6</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >14.4</td></tr><tr><td align="center" valign="middle" >None Response</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="3"  >Working Hours on Average Per Night</td></tr><tr><td align="center" valign="middle" >1 - 8 Hours</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >11.2</td></tr><tr><td align="center" valign="middle" >Over 8 Hours</td><td align="center" valign="middle" >277</td><td align="center" valign="middle" >88.8</td></tr><tr><td align="center" valign="middle" >None Response</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Health concerns of the employees and medical examinations</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >n</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >Pain in the Chest</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >151</td><td align="center" valign="middle" >41.1</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >216</td><td align="center" valign="middle" >58.9</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Blocked Chest</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >135</td><td align="center" valign="middle" >36.8</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >232</td><td align="center" valign="middle" >63.2</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Pain in the Lungs</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >13.1</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >319</td><td align="center" valign="middle" >86.9</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Sneezing and Coughing</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >317</td><td align="center" valign="middle" >86.4</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >13.6</td></tr><tr><td align="center" valign="middle" >Asthma</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >9.3</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >333</td><td align="center" valign="middle" >90.7</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Pneumonia</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >6.3</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >344</td><td align="center" valign="middle" >93.7</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Allergic Reaction to Dust</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >67</td><td align="center" valign="middle" >18.3</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >300</td><td align="center" valign="middle" >81.7</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Medical Examinations before Joining EPZA Factory</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >96</td><td align="center" valign="middle" >26.2</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >271</td><td align="center" valign="middle" >73.8</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Specific Medical Examination</td></tr><tr><td align="center" valign="middle" >Clinical Examination</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >100.0</td></tr><tr><td align="center" valign="middle" >None Response</td><td align="center" valign="middle" >283</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="3"  >Medical Examination While Working in the Factory</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >114</td><td align="center" valign="middle" >33.9</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >222</td><td align="center" valign="middle" >66.1</td></tr><tr><td align="center" valign="middle" >None Response</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="3"  >Specific Medical Examination While Working in the Country</td></tr><tr><td align="center" valign="middle" >Clinical Examination</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >30.7</td></tr><tr><td align="center" valign="middle" >Lung Function Test</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >52.6</td></tr><tr><td align="center" valign="middle" >Audiometric Test</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >16.7</td></tr><tr><td align="center" valign="middle" >None Response</td><td align="center" valign="middle" >253</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="3"  >Frequency of Lung Function Test</td></tr><tr><td align="center" valign="middle" >Bi-annually</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >43.0</td></tr><tr><td align="center" valign="middle" >Annually</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >57.0</td></tr><tr><td align="center" valign="middle" >None Response</td><td align="center" valign="middle" >288</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>9.3% (34), were asthmatic, while less than a quarter, 23 (6.3%), had pneumonia. Almost a quarter of the employees, 67 (18.3%), had allergic dust reactions. The results support research that established that many workers (71%) are unaware of potential hazards and had complained of chest pains and blockage in the chest, which was a result of inhaling dust in the workplace in California [<xref ref-type="bibr" rid="scirp.121012-ref24">24</xref>]. A study by Kirkeskov (2016) [<xref ref-type="bibr" rid="scirp.121012-ref25">25</xref>] determined that there were health management concerns in ensuring that the dust levels exposure of the workers is measured every day with a score of 77%. The carpentry firm had experienced more than 60% of workers inhaling dust. However, Abaya et al. (2020) [<xref ref-type="bibr" rid="scirp.121012-ref26">26</xref>] study reveals that 12 factories out of 15 targeted factories did little on health concerns.</p><p>Slightly more than a quarter of the employees, 26.2% (96), went for medical examinations before joining the factory, of which 84 (100%) went for clinical tests. More than a quarter of the employees, 114 (33.9%), had undergone medical examinations while working in the factory. The results concur with the research by Phoon and Chan (2019) [<xref ref-type="bibr" rid="scirp.121012-ref27">27</xref>], who established that 52% of mining workers were exposed to workplace hazards. This compels the management to initiate employee medical tests and examinations by designated medical practitioners approved by the government. Most of the respondents, 52.6% (60), had undergone lung function tests, while slightly more than a quarter, 30.7% (35) had undergone clinical examination, whereas a small proportion, 16.7% (19), had undergone the audiometric test. Among the employees who had undergone lung function test, (45; 57%) was done annually, whereas (34; 43%) was bi-annually. A similar study conducted by Jones (2018) [<xref ref-type="bibr" rid="scirp.121012-ref28">28</xref>] unveils that the majority of the respondent (48.9%) had undergone lung function tests, while (22.8%) had undergone clinical examinations, and all the employees had undergone the audiometric test. The tests were done quarterly and were mandatory.</p></sec><sec id="s3_5"><title>3.5. Association of Awareness of Respirable Dust Exposure with Worker’s Health Concern</title><p>A higher proportion of workplace awareness on respirable dust hazards was among employees who did not have pain in their chest, 23 (10.6%) compared to employees who had pain in their chest, 6 (6; 4.0%). Employees with no chest pains were 2.880 [95% CI = 1.143 - 7.255, p = 0.025] times more likely to be aware of respirable dust exposure and associated health concerns compared to employees who had pain in their chest as presented in <xref ref-type="table" rid="table5">Table 5</xref>. Additionally, employees who had pain in the chest were more willing to wear PPEs as compared to those with no chest pains. Those who had chest pains, 41.5% took no action, 27.1% sought medical care while 18.4% reported to the company management for further checkup. The study finding revealed a high proportion of awareness of respirable dust hazards in the workplace among employees who did not have pain in their chest (68%) compared to employees who had pain in their chest (32%). A comparable study by Han et al. (2021) [<xref ref-type="bibr" rid="scirp.121012-ref29">29</xref>], reveals that there was a high proportion of awareness of respirable dust hazards in workplace among employees who did not have</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Association of awareness on respirable dust exposure with worker’s health concerns</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Aware</th><th align="center" valign="middle"  colspan="2"  >Not Aware</th><th align="center" valign="middle"  rowspan="2"  >OR</th><th align="center" valign="middle"  colspan="2"  >95% CI</th><th align="center" valign="middle"  rowspan="2"  >P-value</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >Lower</td><td align="center" valign="middle" >Upper</td></tr><tr><td align="center" valign="middle"  colspan="9"  >Pain in Your Chest</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >4.0%</td><td align="center" valign="middle" >145</td><td align="center" valign="middle" >96.0%</td><td align="center" valign="middle" >Ref</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" >No</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >10.6%</td><td align="center" valign="middle" >193</td><td align="center" valign="middle" >89.4%</td><td align="center" valign="middle" >2.88</td><td align="center" valign="middle" >1.14</td><td align="center" valign="middle" >7.26</td><td align="center" valign="middle" >0.025</td></tr><tr><td align="center" valign="middle"  colspan="9"  >Blocked Chest</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3.0%</td><td align="center" valign="middle" >131</td><td align="center" valign="middle" >97.0%</td><td align="center" valign="middle" >Ref</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" >No</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >10.8%</td><td align="center" valign="middle" >207</td><td align="center" valign="middle" >89.2%</td><td align="center" valign="middle" >3.96</td><td align="center" valign="middle" >1.35</td><td align="center" valign="middle" >11.62</td><td align="center" valign="middle" >0.012</td></tr><tr><td align="center" valign="middle"  colspan="9"  >Pneumonia</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >21.7%</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >78.3%</td><td align="center" valign="middle" >3.70</td><td align="center" valign="middle" >1.27</td><td align="center" valign="middle" >10.84</td><td align="center" valign="middle" >0.017</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >7.0%</td><td align="center" valign="middle" >320</td><td align="center" valign="middle" >93.0%</td><td align="center" valign="middle" >Ref</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"  colspan="9"  >Allergic Reaction to Dust</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >16.4%</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >83.6%</td><td align="center" valign="middle" >3.08</td><td align="center" valign="middle" >1.38</td><td align="center" valign="middle" >6.87</td><td align="center" valign="middle" >0.006</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >6.0%</td><td align="center" valign="middle" >282</td><td align="center" valign="middle" >94.0%</td><td align="center" valign="middle" >Ref</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"  colspan="9"  >Undergone Medical Examinations before Joining the EPZA Factory</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >22.9%</td><td align="center" valign="middle" >74</td><td align="center" valign="middle" >77.1%</td><td align="center" valign="middle" >11.21</td><td align="center" valign="middle" >4.61</td><td align="center" valign="middle" >27.27</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >2.6%</td><td align="center" valign="middle" >264</td><td align="center" valign="middle" >97.4%</td><td align="center" valign="middle" >Ref</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>pain in their chest (57%) as compared to employees who had pain in their chest (43%).</p><p>A higher proportion of awareness of respirable dust hazard in the workplace was among employees who did not have blocked chests, 25 (10.8%), compared to employees who had blocked chests, 4 (3.0%). Employees who did not have blocked chests were 3.955 [95% CI = 1.346 - 11.623, p = 0.012] times more likely to be aware of respirable dust and associated health concerns compared to employees who had blocked chests. Tageldin et al. (2017) [<xref ref-type="bibr" rid="scirp.121012-ref30">30</xref>] agree with the findings. They established that textile employees were exposed to dust and indeed had chest problems and were unlikely to be aware of dust exposure compared to those who did not have blocked chests. The results conclude that a higher proportion of workplace awareness of respirable dust hazards was among employees who did not have blocked chests (74%) compared to employees who had blocked chests (26%).</p><p>Additionally, the research finding established that a higher proportion of awareness of respirable dust hazards was among employees who indicated that they had pneumonia, 5 (21.7%), compared to employees who did not have pneumonia, 24 (7%). Employees who had pneumonia were 3.70 [95% CI = 1.27 - 10.84, p = 0.017] times more likely to be aware of respirable dust exposure and associated health concerns compared to employees who did not have pneumonia. A more significant proportion of awareness of respirable dust hazards was among employees who had an allergic reaction to dust, 11 (16.4%), compared to employees who had no allergic reaction to dust, 18 (6%). Employees who had an allergic reaction to dust were 3.08 [95% CI = 1.38 - 6.87, p = 0.006] times more likely to be aware of respirable dust exposure and associated health concerns compared to employees who had no allergic reaction to dust. The study is in line with Hanskov et al. (2015) [<xref ref-type="bibr" rid="scirp.121012-ref31">31</xref>] study that reveals that a bigger proportion of awareness of respirable dust hazards in the workplace was among employees who had an allergic reaction to dust (98%) compared to employees who had no allergic reaction to dust (2%). However, Purani and Shah (2019) [<xref ref-type="bibr" rid="scirp.121012-ref32">32</xref>] establish that a bigger proportion of employees who had no allergic reaction to dust were two times more likely to be respirable dust exposure, as represented by 75% of the respondents.</p><p>A significantly higher awareness of respirable dust hazards in the workplace was among employees who went for medical examinations before joining the factory, 22 (22.9%), compared to employees 7 (2.6%) who did not go for medical examinations before joining that EPZA factory. Employees who went for medical examinations before joining the factory were 11.21 [95% CI = 4.61 - 27.27, p &lt; 0.001] times more likely to be aware of respirable dust and associated health concerns compared to employees who did not go for medical examinations before joining the EPZA factory. A study by Shadab et al. (2017) [<xref ref-type="bibr" rid="scirp.121012-ref13">13</xref>] supports the finding. The survey reveals that (57%) of employees who went for medical examinations before joining dust-exposed factories were two times more likely to be aware of respirable dust and associated health concerns compared to workers who did not go for medical examinations before joining dust-exposed factories.</p></sec><sec id="s3_6"><title>3.6. Association of Multiple Respiratory Health Concerns with Gender</title><p>There was a more significant proportion of multiple respiratory health concerns among female employees, 132 (69.5%), compared to male employees, 103 (58.9%). Female employees were 1.59 [95% CI = 1.03 - 2.45, p = 0.034] times more likely to have multiple respiratory health concerns compared to their male counterparts. The findings are presented in <xref ref-type="table" rid="table6">Table 6</xref>. This can be associated with women being the majority at the workplace, particularly in the sewing/embroidery section, which is related to high respirable dust levels. Correspondingly, Berends’s (2020) [<xref ref-type="bibr" rid="scirp.121012-ref14">14</xref>] study revealed multiple respiratory health concerns among women due to their long hours in their workstations compared to men, established at 57% and 43%, respectively. On the contrary, a study by Shadab et al. (2017) [<xref ref-type="bibr" rid="scirp.121012-ref13">13</xref>] established that men (81%) had high chances of multiple reported respiratory health as they were more ignorant of the recommended health precautions at work sites.</p></sec><sec id="s3_7"><title>3.7. Association of Multiple Respiratory Health Concerns with Multiple Employments</title><p>A smaller proportion of multiple respiratory health concerns was established</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Association of multiple respiratory health concerns with gender</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Multiple Health Concern</th><th align="center" valign="middle"  colspan="2"  >No Multiple Health Concern</th><th align="center" valign="middle"  rowspan="2"  >OR</th><th align="center" valign="middle"  colspan="2"  >95% CI</th><th align="center" valign="middle"  rowspan="2"  >P-value</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >Lower</td><td align="center" valign="middle" >Upper</td></tr><tr><td align="center" valign="middle" >Age</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >18 - 28</td><td align="center" valign="middle" >78</td><td align="center" valign="middle" >67.8%</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >32.2%</td><td align="center" valign="middle" >2.64</td><td align="center" valign="middle" >0.67</td><td align="center" valign="middle" >10.39</td><td align="center" valign="middle" >0.153</td></tr><tr><td align="center" valign="middle" >29 - 39</td><td align="center" valign="middle" >79</td><td align="center" valign="middle" >64.8%</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >35.2%</td><td align="center" valign="middle" >2.29</td><td align="center" valign="middle" >0.59</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >0.222</td></tr><tr><td align="center" valign="middle" >40 - 50</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >63.3%</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >36.7%</td><td align="center" valign="middle" >2.15</td><td align="center" valign="middle" >0.54</td><td align="center" valign="middle" >8.54</td><td align="center" valign="middle" >0.266</td></tr><tr><td align="center" valign="middle" >51 - 61</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >56.5%</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >43.5%</td><td align="center" valign="middle" >1.63</td><td align="center" valign="middle" >0.34</td><td align="center" valign="middle" >7.67</td><td align="center" valign="middle" >0.538</td></tr><tr><td align="center" valign="middle" >62 &amp; above</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >44.4%</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >55.6%</td><td align="center" valign="middle" >Ref</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" >Gender</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >103</td><td align="center" valign="middle" >58.9%</td><td align="center" valign="middle" >72</td><td align="center" valign="middle" >41.1%</td><td align="center" valign="middle" >Ref</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" >Female</td><td align="center" valign="middle" >132</td><td align="center" valign="middle" >69.5%</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >30.5%</td><td align="center" valign="middle" >1.59</td><td align="center" valign="middle" >1.03</td><td align="center" valign="middle" >2.45</td><td align="center" valign="middle" >0.034</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Marital Status</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" >Single</td><td align="center" valign="middle" >91</td><td align="center" valign="middle" >71.7%</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >28.3%</td><td align="center" valign="middle" >1.49</td><td align="center" valign="middle" >0.62</td><td align="center" valign="middle" >3.55</td><td align="center" valign="middle" >0.37</td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >117</td><td align="center" valign="middle" >61.3%</td><td align="center" valign="middle" >74</td><td align="center" valign="middle" >38.7%</td><td align="center" valign="middle" >0.93</td><td align="center" valign="middle" >0.4</td><td align="center" valign="middle" >2.14</td><td align="center" valign="middle" >0.865</td></tr><tr><td align="center" valign="middle" >Divorced/Separated</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >45.0%</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >55.0%</td><td align="center" valign="middle" >0.48</td><td align="center" valign="middle" >0.15</td><td align="center" valign="middle" >1.56</td><td align="center" valign="middle" >0.221</td></tr><tr><td align="center" valign="middle" >Widow/Widower</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >63.0%</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >37.0%</td><td align="center" valign="middle" >Ref</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"  colspan="3"  >Highest Education 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" >Primary</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >60.0%</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >40.0%</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.264</td><td align="center" valign="middle" >3.79</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >119</td><td align="center" valign="middle" >65.7%</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >34.3%</td><td align="center" valign="middle" >1.28</td><td align="center" valign="middle" >0.35</td><td align="center" valign="middle" >4.7</td><td align="center" valign="middle" >0.709</td></tr><tr><td align="center" valign="middle" >Diploma</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >71.8%</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >28.2%</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >0.43</td><td align="center" valign="middle" >6.67</td><td align="center" valign="middle" >0.443</td></tr><tr><td align="center" valign="middle" >Degree</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >35.7%</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >64.3%</td><td align="center" valign="middle" >0.37</td><td align="center" valign="middle" >0.07</td><td align="center" valign="middle" >1.97</td><td align="center" valign="middle" >0.239</td></tr><tr><td align="center" valign="middle" >Master’s Degree</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >100.0%</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0%</td><td align="center" valign="middle" >UD</td><td align="center" valign="middle" >UD</td><td align="center" valign="middle" >UD</td><td align="center" valign="middle" >UD</td></tr><tr><td align="center" valign="middle" >Others</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >60.0%</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >40.0%</td><td align="center" valign="middle" >Ref</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>among employees who only worked at the factory, 211 (62.1%), compared to employees who had other work other than working at the factory (25; 92.6%). Employees who only worked at the factory were 0.13 [95%CI = 0.03 - 0.56, p = 0.001] times likely to have multiple respiratory health concerns compared to employees who had multiple other employment/not related to the factory, as illustrated in <xref ref-type="table" rid="table7">Table 7</xref>. The study by Tsang and Chan (2020) [<xref ref-type="bibr" rid="scirp.121012-ref33">33</xref>] confirms the findings as the study reveals that those who have several workplaces (38%) and are exposed to dust-related particles have high likelihood (25%) of having multiple respiratory health concerns, unlike those who worked in one station (21%) or worked in one factory have low chances (19%) of getting exposed and getting multiple respiratory health concerns.</p></sec><sec id="s3_8"><title>3.8. Association of Multiple Health Concerns with Dust Levels</title><p>The study established a smaller proportion of multiple respiratory health concerns</p><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Association of multiple respiratory health concern with multiple employments</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Multiple Health Concern</th><th align="center" valign="middle"  colspan="2"  >No Multiple Health Concern</th><th align="center" valign="middle"  rowspan="2"  >OR</th><th align="center" valign="middle"  colspan="2"  >95% CI</th><th align="center" valign="middle"  rowspan="2"  >P-value</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >Lower</td><td align="center" valign="middle" >Upper</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Designation/Position</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" >Management</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >57.1%</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >42.9%</td><td align="center" valign="middle" >Ref</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" >Supervisor</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >59.6%</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >40.4%</td><td align="center" valign="middle" >1.11</td><td align="center" valign="middle" >0.39</td><td align="center" valign="middle" >3.09</td><td align="center" valign="middle" >0.845</td></tr><tr><td align="center" valign="middle" >General Worker</td><td align="center" valign="middle" >193</td><td align="center" valign="middle" >65.6%</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >34.4%</td><td align="center" valign="middle" >1.43</td><td align="center" valign="middle" >0.58</td><td align="center" valign="middle" >3.52</td><td align="center" valign="middle" >0.429</td></tr><tr><td align="center" valign="middle" >Disability</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >70.0%</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >30.0%</td><td align="center" valign="middle" >1.3</td><td align="center" valign="middle" >0.33</td><td align="center" valign="middle" >5.13</td><td align="center" valign="middle" >0.703</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >229</td><td align="center" valign="middle" >64.1%</td><td align="center" valign="middle" >128</td><td align="center" valign="middle" >35.9%</td><td align="center" valign="middle" >Ref</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"  colspan="2"  >Which Disability</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" >Hearing</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >50.0%</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >50.0%</td><td align="center" valign="middle" >Ref</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" >Physical/Mobility</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >66.7%</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >33.3%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.11</td><td align="center" valign="middle" >35.81</td><td align="center" valign="middle" >0.635</td></tr><tr><td align="center" valign="middle" >Speech</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >66.7%</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >33.3%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.11</td><td align="center" valign="middle" >35.81</td><td align="center" valign="middle" >0.635</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Work Experience in the Factory</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" >0 - 2 Years</td><td align="center" valign="middle" >82</td><td align="center" valign="middle" >65.1%</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >34.9%</td><td align="center" valign="middle" >1.45</td><td align="center" valign="middle" >0.51</td><td align="center" valign="middle" >4.16</td><td align="center" valign="middle" >0.488</td></tr><tr><td align="center" valign="middle" >2 - 4 Years</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >74.1%</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >25.9%</td><td align="center" valign="middle" >2.23</td><td align="center" valign="middle" >0.76</td><td align="center" valign="middle" >6.52</td><td align="center" valign="middle" >0.137</td></tr><tr><td align="center" valign="middle" >4 - 6 Years</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >57.6%</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >42.4%</td><td align="center" valign="middle" >1.06</td><td align="center" valign="middle" >0.36</td><td align="center" valign="middle" >3.11</td><td align="center" valign="middle" >0.917</td></tr><tr><td align="center" valign="middle" >6 - 8 Years</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >31.3%</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >68.8%</td><td align="center" valign="middle" >0.35</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >1.5</td><td align="center" valign="middle" >0.154</td></tr><tr><td align="center" valign="middle" >8 - 10 Years</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >77.8%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >22.2%</td><td align="center" valign="middle" >2.72</td><td align="center" valign="middle" >0.43</td><td align="center" valign="middle" >17.42</td><td align="center" valign="middle" >0.282</td></tr><tr><td align="center" valign="middle" >Over 10 Years</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >56.3%</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >43.8%</td><td align="center" valign="middle" >Ref</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"  colspan="9"  >Other Employment or Work Not Related to This Factory</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >92.6%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >7.4%</td><td align="center" valign="middle" >Ref</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" >No</td><td align="center" valign="middle" >211</td><td align="center" valign="middle" >62.1%</td><td align="center" valign="middle" >129</td><td align="center" valign="middle" >37.9%</td><td align="center" valign="middle" >0.13</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >0.56</td><td align="center" valign="middle" >0.001</td></tr></tbody></table></table-wrap><p>among employees who confirmed that their work department produced dust, 218 (62.8%), compared to employees whose department did not produce dust, 17 (89.5%), as shown in <xref ref-type="table" rid="table8">Table 8</xref>. Employees who were aware their department produced dust were 0.19 [95% CI = 0.05 - 0.87, p = 0.018] times likely to have multiple respiratory health concerns compared to employees who knew their department did not produce dust. The study results support the findings by Glendon and Stanton (2018) [<xref ref-type="bibr" rid="scirp.121012-ref17">17</xref>], which establish that 78% of employees confirmed that employees who are aware their department produces dust are less likely to have multiple respiratory diseases by 33%. Contrary to the study by Purani and Shah (2019) [<xref ref-type="bibr" rid="scirp.121012-ref32">32</xref>] and a study by WHO (2020) [<xref ref-type="bibr" rid="scirp.121012-ref34">34</xref>]. The findings reveal that those who participated in the survey (N = 147) confirmed that their workplace produced dust and were likely to have multiple respiratory health concerns, revealed by 45% of multiple respiratory diseases compared 22% of employees who had respiratory diseases in departments that were dust free.</p><table-wrap id="table8" ><label><xref ref-type="table" rid="table8">Table 8</xref></label><caption><title> Association of multiple respiratory health concern with dust levels</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Multiple Health Concern</th><th align="center" valign="middle"  colspan="2"  >No Multiple Health Concern</th><th align="center" valign="middle"  rowspan="2"  >OR</th><th align="center" valign="middle"  colspan="2"  >95% CI</th><th align="center" valign="middle"  rowspan="2"  >P-value</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >Lower</td><td align="center" valign="middle" >Upper</td></tr><tr><td align="center" valign="middle"  colspan="9"  >Workplace Produce dust</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >218</td><td align="center" valign="middle" >62.8%</td><td align="center" valign="middle" >129</td><td align="center" valign="middle" >37.2%</td><td align="center" valign="middle" >0.19</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >0.87</td><td align="center" valign="middle" >0.018</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >89.5%</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >10.5%</td><td align="center" valign="middle" >Ref</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"  colspan="9"  >Dust Levels</td></tr><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >84.2%</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >15.8%</td><td align="center" valign="middle" >Ref</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" >Moderate</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >55.2%</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >44.8%</td><td align="center" valign="middle" >0.23</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >0.85</td><td align="center" valign="middle" >0.018</td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >147</td><td align="center" valign="middle" >64.2%</td><td align="center" valign="middle" >82</td><td align="center" valign="middle" >35.8%</td><td align="center" valign="middle" >0.34</td><td align="center" valign="middle" >0.09</td><td align="center" valign="middle" >1.19</td><td align="center" valign="middle" >0.077</td></tr><tr><td align="center" valign="middle" >Very High</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >87.0%</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >13.0%</td><td align="center" valign="middle" >1.25</td><td align="center" valign="middle" >0.22</td><td align="center" valign="middle" >7.05</td><td align="center" valign="middle" >0.8</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Main Department Which Generates Dust at Workplace</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" >Fabric Relaxing/Spreading and Cutting</td><td align="center" valign="middle" >134</td><td align="center" valign="middle" >69.1%</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >30.9%</td><td align="center" valign="middle" >Ref</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" >Fusing and Pressing</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >60.4%</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >39.6%</td><td align="center" valign="middle" >0.68</td><td align="center" valign="middle" >0.36</td><td align="center" valign="middle" >1.31</td><td align="center" valign="middle" >0.252</td></tr><tr><td align="center" valign="middle" >Sewing/Stitching and Overlock</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >33.9%</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >66.1%</td><td align="center" valign="middle" >0.23</td><td align="center" valign="middle" >0.12</td><td align="center" valign="middle" >0.42</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Packaging</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >70.3%</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >29.7%</td><td align="center" valign="middle" >1.06</td><td align="center" valign="middle" >0.49</td><td align="center" valign="middle" >2.28</td><td align="center" valign="middle" >0.885</td></tr></tbody></table></table-wrap><p>A significantly smaller proportion of multiple respiratory health concerns was among employees who confirmed that dust levels were moderate, 54 (55.2%), compared to employees who confirmed that dust levels were low, 16 (84.2%). Employees who confirmed that dust levels were moderate were 0.23 [95% CI = 0.06 - 0.85, p = 0.018] times likely to have multiple respiratory health concerns compared to employees who confirmed that dust levels were low. The finding can be associated with awareness of exposure. Hence, the employees take an active role in protecting themselves, unlike those unaware. Da-Silva-Filho et al. (2019) [<xref ref-type="bibr" rid="scirp.121012-ref35">35</xref>] establish that those who know dust is high-moderate (67%) take care of themselves compared to those who say the levels are low (33%). Further, the study reveals that the higher the dust levels, the more significant the proportion of multiple respiratory health concerns (79%).</p><p>A smaller proportion of multiple respiratory health concerns was among employees who confirmed dust is generated mainly at the sewing/stitching and overlock department, 21 (33.9%), compared to employees who verified dust is generated largely in fabric relaxing/spreading and cutting department, 134 (69.1%). Employees who confirmed sewing/stitching and overlock generated much dust were 0.23 [95% CI = 0.12 - 0.42, p &lt; 0.001] times likely to have multiple respiratory health concerns compared to employees who indicated fabric relaxing/spreading and cutting department generated dust. The study findings were in line with Mehwish and Mustafa (2016) [<xref ref-type="bibr" rid="scirp.121012-ref6">6</xref>], which reveal high dust concentration and exposure in fabric spreading and cutting-related factories (37%). The study concludes that employees who confirmed that the primary department generating dust was stitching were less likely to have multiple respiratory health concerns [94% CI = 0.11 - 0.39, p &lt; 0.001] compared to employees who indicated other departments. Fabric relaxing generated much dust.</p></sec><sec id="s3_9"><title>3.9. Association of Multiple Health Concerns with PPES Use</title><p>A smaller proportion of confirmed multiple respiratory health concerns was among employees who used PPEs, 26 (49.1%), compared to employees who did not use PPEs, 210 (66.9%). Employees who utilized PPEs were 0.48 [95% CI = 0.27 - 0.86, p = 0.012] times likely to have multiple respiratory health concerns compared to employees who did not utilize PPE while working. This is displayed in <xref ref-type="table" rid="table9">Table 9</xref>. The study was in line with the WHO report (2020) [<xref ref-type="bibr" rid="scirp.121012-ref34">34</xref>] and research by Kirkeskov et al. (2016) [<xref ref-type="bibr" rid="scirp.121012-ref25">25</xref>] that recommended the use of PPEs. The findings unveil that workers who did not use PPEs (56%) had multiple respiratory health concerns compared to workers who used PPEs (11%).</p><p>A more significant proportion of multiple respiratory health concerns was among employees who did not use PPEs because it was too hot, 194 (67.8%) compared to employees who did not use PPEs because they were uncomfortable, 30 (45.5%). Employees who did not use PPEs because it was too hot were 2.53 [95% CI = 1.47 - 4.36, p = 0.001] times more likely to have multiple respiratory health concerns compared to employees who did not use PPEs because they were uncomfortable. A high proportion of multiple respiratory health concerns was among employees who did not use PPEs because the employer did not provide them, 12 (80%), compared to employees who did not use PPEs because they were uncomfortable, 30 (45.5%). Employees who did not use PPEs because the employer did not provide them were 4.8 [95% CI = 1.24 - 18.6, p = 0.016] times more likely to have multiple respiratory health concerns compared to employees</p><table-wrap id="table9" ><label><xref ref-type="table" rid="table9">Table 9</xref></label><caption><title> Association of multiple respiratory health concern with PPE use</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Multiple Health Concern</th><th align="center" valign="middle"  colspan="2"  >No Multiple Health Concern</th><th align="center" valign="middle"  rowspan="2"  >OR</th><th align="center" valign="middle"  colspan="2"  >95% CI</th><th align="center" valign="middle"  rowspan="2"  >P-value</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >Lower</td><td align="center" valign="middle" >Upper</td></tr><tr><td align="center" valign="middle"  colspan="9"  >Workers Use Personal Protective Gears/Equipment While Working</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >210</td><td align="center" valign="middle" >66.9%</td><td align="center" valign="middle" >104</td><td align="center" valign="middle" >33.1%</td><td align="center" valign="middle" >Ref</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" >No</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >49.1%</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >50.9%</td><td align="center" valign="middle" >0.48</td><td align="center" valign="middle" >0.27</td><td align="center" valign="middle" >0.86</td><td align="center" valign="middle" >0.012</td></tr><tr><td align="center" valign="middle"  colspan="9"  >The Reason(s) for Not Using PPEs</td></tr><tr><td align="center" valign="middle" >Uncomfortable</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >45.5%</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >54.5%</td><td align="center" valign="middle" >Ref</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" >Too Hot</td><td align="center" valign="middle" >194</td><td align="center" valign="middle" >67.8%</td><td align="center" valign="middle" >92</td><td align="center" valign="middle" >32.2%</td><td align="center" valign="middle" >2.53</td><td align="center" valign="middle" >1.47</td><td align="center" valign="middle" >4.36</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Not Provided</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >80.0%</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >20.0%</td><td align="center" valign="middle" >4.8</td><td align="center" valign="middle" >1.24</td><td align="center" valign="middle" >18.6</td><td align="center" valign="middle" >0.016</td></tr><tr><td align="center" valign="middle"  colspan="9"  >Provision of PPEs</td></tr><tr><td align="center" valign="middle" >Own self/Personal</td><td align="center" valign="middle" >144</td><td align="center" valign="middle" >59.5%</td><td align="center" valign="middle" >98</td><td align="center" valign="middle" >40.5%</td><td align="center" valign="middle" >Ref</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" >Employer</td><td align="center" valign="middle" >91</td><td align="center" valign="middle" >73.4%</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >26.6%</td><td align="center" valign="middle" >1.88</td><td align="center" valign="middle" >1.17</td><td align="center" valign="middle" >3.01</td><td align="center" valign="middle" >0.009</td></tr></tbody></table></table-wrap><p>who did not use PPEs because they were uncomfortable. Bandyopadhyay and De (2015) [<xref ref-type="bibr" rid="scirp.121012-ref36">36</xref>] study reveals that those who don’t use PPE because it is hot were represented by 71% and were aware they were likely to have multiple health concerns. Minority of 29% represented those who do not use PPE because it is uncomfortable.</p><p>In another study, the findings further reveal that employees who did not use PPEs because the employer did not provide them (63%) were more likely to have multiple respiratory health concerns than employees who did not use PPEs because they were uncomfortable [<xref ref-type="bibr" rid="scirp.121012-ref12">12</xref>]. It is recommended that employees should always wear protective gear for safety and to promote productivity [<xref ref-type="bibr" rid="scirp.121012-ref37">37</xref>].</p><p>This research established a more significant proportion of multiple respiratory health concerns among employees provided with PPEs, 91 (73.4%), compared to employees who provided their PPEs, 144 (59.5%). Employees provided with PPEs by the employer were 1.88 [95% CI = 1.17 - 3.01, p = 0.009] times more likely to have multiple respiratory health issues compared to employees who provided their PPEs. In a comparable study, the findings reveal a more significant proportion of multiple respiratory health concerns among employees whose employers provided PPEs (68.9%) compared to workers who provided their PPEs (31.4%) [<xref ref-type="bibr" rid="scirp.121012-ref7">7</xref>].</p></sec><sec id="s3_10"><title>3.10. Association of Dust Exposure Levels with Health Concerns</title><p>A higher proportion of exposure levels to respirable dust was established among workers with pain in their chest, 103 (68.2%), compared to workers who did not have pain in their chest (105; 48.6%). This is outlined in <xref ref-type="table" rid="table1">Table 1</xref>0. Workers with chest pains were 2.27 [95% CI = 1.47 - 3.50, p &lt; 0.001] times more likely to have high exposure to respirable dust compared to workers who did not have pain in their chest. Wheezing and coughing is 5 to 6 times more likely to be among employee’s exposed to high dust levels compared to non-exposed workers [<xref ref-type="bibr" rid="scirp.121012-ref38">38</xref>].</p><p>A higher exposure level to respirable dust was among workers with blocked chests, 93 (68.9%), compared to workers without blocked chests, 115 (49.6%). Workers with blocked chests were 2.25 [95% CI = 1.44 - 3.52, p &lt; 0.001] times more likely to have high respirable dust exposure compared to workers without block chest. The findings approve a study undertaken in Nigeria [<xref ref-type="bibr" rid="scirp.121012-ref17">17</xref>]. High significance difference of [74% CI = 0.09 - 0.31, p &lt; 0.01].in respiratory symptoms was revealed among 665 workers. On the contrary, differences in respiratory signs were established between 582 workers and 153 controls and no variances in lung function levels was established [<xref ref-type="bibr" rid="scirp.121012-ref16">16</xref>].</p></sec><sec id="s3_11"><title>3.11. Association of Dust Exposure Levels with Medical Examinations</title><p>A higher proportion of dust exposure levels and associated health concerns was among workers who had undergone medical examination while working in the factory, 83 (72.8%), compared to workers who had not undergone medical examination while working in the factory, 104, (46.8%) as demonstrated in <xref ref-type="table" rid="table1">Table 1</xref>1.</p><table-wrap id="table10" ><label><xref ref-type="table" rid="table1">Table 1</xref>0</label><caption><title> Association of dust exposure levels with health concerns</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Dust above Threshold</th><th align="center" valign="middle"  colspan="2"  >Dust below/at Threshold</th><th align="center" valign="middle"  rowspan="2"  >OR</th><th align="center" valign="middle"  colspan="2"  >95% CI</th><th align="center" valign="middle"  rowspan="2"  >P-value</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >Lower</td><td align="center" valign="middle" >Upper</td></tr><tr><td align="center" valign="middle"  colspan="9"  >Pain in Your Chest</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >103</td><td align="center" valign="middle" >68.2%</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >31.8%</td><td align="center" valign="middle" >2.27</td><td align="center" valign="middle" >1.47</td><td align="center" valign="middle" >3.50</td><td align="center" valign="middle" >&lt; 0.001</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >105</td><td align="center" valign="middle" >48.6%</td><td align="center" valign="middle" >111</td><td align="center" valign="middle" >51.4%</td><td align="center" valign="middle" >Ref</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"  colspan="9"  >Blocked Chest</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >93</td><td align="center" valign="middle" >68.9%</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >31.1%</td><td align="center" valign="middle" >2.25</td><td align="center" valign="middle" >1.44</td><td align="center" valign="middle" >3.52</td><td align="center" valign="middle" >&lt; 0.001</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >115</td><td align="center" valign="middle" >49.6%</td><td align="center" valign="middle" >117</td><td align="center" valign="middle" >50.4%</td><td align="center" valign="middle" >Ref</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"  colspan="9"  >Pain in Your Lungs</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >66.7%</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >33.3%</td><td align="center" valign="middle" >1.63</td><td align="center" valign="middle" >0.86</td><td align="center" valign="middle" >3.08</td><td align="center" valign="middle" >0.137</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >176</td><td align="center" valign="middle" >55.2%</td><td align="center" valign="middle" >143</td><td align="center" valign="middle" >44.8%</td><td align="center" valign="middle" >Ref</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"  colspan="9"  >Sneezing and Coughing</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >175</td><td align="center" valign="middle" >55.2%</td><td align="center" valign="middle" >142</td><td align="center" valign="middle" >44.8%</td><td align="center" valign="middle" >Ref</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" >No</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >66.0%</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >34.0%</td><td align="center" valign="middle" >1.58</td><td align="center" valign="middle" >0.84</td><td align="center" valign="middle" >2.94</td><td align="center" valign="middle" >0.155</td></tr><tr><td align="center" valign="middle"  colspan="9"  >Asthma</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >52.9%</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >47.1%</td><td align="center" valign="middle" >Ref</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" >No</td><td align="center" valign="middle" >190</td><td align="center" valign="middle" >57.1%</td><td align="center" valign="middle" >143</td><td align="center" valign="middle" >42.9%</td><td align="center" valign="middle" >1.18</td><td align="center" valign="middle" >0.58</td><td align="center" valign="middle" >2.4</td><td align="center" valign="middle" >0.645</td></tr><tr><td align="center" valign="middle"  colspan="9"  >Pneumonia</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >56.5%</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >43.5%</td><td align="center" valign="middle" >Ref</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" >No</td><td align="center" valign="middle" >195</td><td align="center" valign="middle" >56.7%</td><td align="center" valign="middle" >149</td><td align="center" valign="middle" >43.3%</td><td align="center" valign="middle" >1.01</td><td align="center" valign="middle" >0.43</td><td align="center" valign="middle" >2.36</td><td align="center" valign="middle" >0.988</td></tr><tr><td align="center" valign="middle"  colspan="9"  >Allergic Reaction to Dust</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >52.2%</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >47.8%</td><td align="center" valign="middle" >Ref</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" >No</td><td align="center" valign="middle" >173</td><td align="center" valign="middle" >57.7%</td><td align="center" valign="middle" >127</td><td align="center" valign="middle" >42.3%</td><td align="center" valign="middle" >1.25</td><td align="center" valign="middle" >0.73</td><td align="center" valign="middle" >2.12</td><td align="center" valign="middle" >0.418</td></tr></tbody></table></table-wrap><table-wrap id="table11" ><label><xref ref-type="table" rid="table1">Table 1</xref>1</label><caption><title> Association of dust exposure levels with medical examination</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Dust above Threshold</th><th align="center" valign="middle"  colspan="2"  >Dust below/ at Threshold</th><th align="center" valign="middle"  rowspan="2"  >OR</th><th align="center" valign="middle"  colspan="2"  >95% CI</th><th align="center" valign="middle"  rowspan="2"  >P-value</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >Lower</td><td align="center" valign="middle" >Upper</td></tr><tr><td align="center" valign="middle"  colspan="9"  >Medical Examinations before Joining This EPZA Factory</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >62.5%</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >37.5%</td><td align="center" valign="middle" >1.39</td><td align="center" valign="middle" >0.86</td><td align="center" valign="middle" >2.23</td><td align="center" valign="middle" >0.181</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >148</td><td align="center" valign="middle" >54.6%</td><td align="center" valign="middle" >123</td><td align="center" valign="middle" >45.4%</td><td align="center" valign="middle" >Ref</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"  colspan="9"  >Medical Examination While Working in This Factory</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >72.8%</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >27.2%</td><td align="center" valign="middle" >3.04</td><td align="center" valign="middle" >1.86</td><td align="center" valign="middle" >4.96</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >104</td><td align="center" valign="middle" >46.8%</td><td align="center" valign="middle" >118</td><td align="center" valign="middle" >53.2%</td><td align="center" valign="middle" >Ref</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"  colspan="9"  >Type of Medical Examination While Working in the Factory</td></tr><tr><td align="center" valign="middle" >Clinical Examination</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >77.1%</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >22.9%</td><td align="center" valign="middle" >Ref</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" >Lung Function Test</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >68.3%</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >31.7%</td><td align="center" valign="middle" >0.64</td><td align="center" valign="middle" >0.25</td><td align="center" valign="middle" >1.67</td><td align="center" valign="middle" >0.360</td></tr><tr><td align="center" valign="middle" >Audiometric Test</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >78.9%</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >21.1%</td><td align="center" valign="middle" >1.11</td><td align="center" valign="middle" >0.29</td><td align="center" valign="middle" >4.31</td><td align="center" valign="middle" >0.879</td></tr><tr><td align="center" valign="middle"  colspan="9"  >If you Undergo Lung Function Test, How Often Is it Done</td></tr><tr><td align="center" valign="middle" >Bi-annually</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >55.9%</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >44.1%</td><td align="center" valign="middle" >Ref</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" >Annually</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >82.2%</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >17.8%</td><td align="center" valign="middle" >3.65</td><td align="center" valign="middle" >1.32</td><td align="center" valign="middle" >10.14</td><td align="center" valign="middle" >0.013</td></tr></tbody></table></table-wrap><p>Workers who had undergone medical examination while working in the factory were 3.04 [95% CI = 1.86 - 4.96, p &lt; 0.001] times more likely to have high exposure levels to respirable dust and associated health concerns compared to workers who had not undergone medical examination while working in the factory. A study by Luxh and Thorsteinsson (2017) [<xref ref-type="bibr" rid="scirp.121012-ref39">39</xref>] confirms the findings. Employees who had undergone medical examination while working in the factory were more likely to have high exposure levels [95% CI = 1.05 - 3.42, p &lt; 0.001] to respirable dust and associated health concerns (87%) as compared to workers who had not undergone medical examination while working in the factory (13%). Hopkins’s (2017) [<xref ref-type="bibr" rid="scirp.121012-ref40">40</xref>] findings give a divergent view. It establishes that employees who had not undergone medical examination while working in the factory were more likely to have high exposure levels to respirable dust and associated health concerns (72%) compared to workers who had undergone medical examination while working in the factory (23%).</p><p>A more considerable proportion of respirable dust exposure and associated health concerns was established among workers who underwent lung function tests annually, 37 (82.2%), compared to workers who underwent lung function tests bi-annually, 19 (55.9%). Workers who went for lung function annually were 3.65 [95% CI = 1.32 - 10.14, p = 0.013] times more likely to have high exposure levels to respirable dust and associated health concerns compared to workers who undergo lung function tests bi-annually. Regular lung function test done bi-annually is recommended. This is associated with [95% CI = 0.12 - 0.42, p &lt; 0.001] low levels of respirable dust exposure and associated health concerns for workers in industrial areas [<xref ref-type="bibr" rid="scirp.121012-ref41">41</xref>].</p></sec></sec><sec id="s4"><title>4. Conclusion</title><p>Respirable dust health concerns were established among workers in apparel processing factories in EPZ, Machakos Kenya. The distribution of employees’ health concerns comprised blocked chest; pain in the lungs, whereas the majority of the employees, 317 (86.4%), were sneezing and coughing. Employees with respirable health concerns were significantly less aware of respirable dust health concerns compared with employees with no respirable dust health concerns. On the other hand, the employees who went for pre-employment medical examination while joining the company were more aware of respirable dust concerns. The study further revealed that female employees were more likely to have multiple respiratory health concerns in the workplace than their male counterparts. Similarly, employees who worked at the factory were more likely to have multiple health concerns than employees who had other different employment in companies unrelated to the factory. Finally, employees with health concerns were more likely to be working in a department with high dust levels, and thus, the high exposure levels in the workplace.</p></sec><sec id="s5"><title>Recommendation</title><p>The research recommends management oversight and commitment to addressing respirable dust concerns at the APCs. There is a need to develop and review the respirable dust management policy. Complimentarily, the management should initiate dust monitoring/evaluation and implement the formulated recommendations. Engineering controls should be considered top of the hierarchy in dust controls. This should be compounded with management controls, including training workers, medical examinations, and risk assessments. Ultimately, the APCs should provide PPEs and enforce their use.</p></sec><sec id="s6"><title>Ethical Approval and Consideration</title><p>The study pursued approvals from the Jomo Kenyatta University of Agriculture and Technology, EPZA Management, APCs Senior, National Commission for Science, Technology, and Innovation (NACOSTI).</p></sec><sec id="s7"><title>Acknowledgements</title><p>The researcher acknowledges Apparel Processing companies and the Export Processing Zone Authority (EPZA) for the chance to undertake the study in the selected factories.</p></sec><sec id="s8"><title>Authors’ Contributions</title><p>Allan Owino Otieno conceptualized the study design, launched a literature review, acquired ethical permissions, and conducted data collection/analysis, discussion, and manuscript preparation.</p><p>Paul Njogu and Dennis Magu scrutinized and verified the study proposal and reviewed the research progress. Both supervisors have reviewed and approved this manuscript.</p></sec><sec id="s9"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s10"><title>Cite this paper</title><p>Otieno, O.A., Njogu, P.M. and Magu, D. (2022) Association between Respirable Dust Exposure and Respiratory Health Concerns among Workers in Apparel Processing Companies in Export Processing Zone (EPZ) in Machakos County, Kenya. Occupational Diseases and Environmental Medicine, 10, 271-291. https://doi.org/10.4236/odem.2022.104021</p></sec></body><back><ref-list><title>References</title><ref id="scirp.121012-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">KNBS (2019) Economic Survey 2019. Government Printer, Nairobi.</mixed-citation></ref><ref id="scirp.121012-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Goetsch, D.L. 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