<?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">OJEpi</journal-id><journal-title-group><journal-title>Open Journal of Epidemiology</journal-title></journal-title-group><issn pub-type="epub">2165-7459</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojepi.2023.134020</article-id><article-id pub-id-type="publisher-id">OJEpi-128871</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>
 
 
  Prevalence and Factors Associated with Psychoactive Substance Misuse among Heavy Goods Vehicle Drivers in Cotonou, Benin
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yolaine</surname><given-names>Glèlè-Ahanhanzo</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>Nouriat</surname><given-names>Mohammed</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>Donatien</surname><given-names>Daddah</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nicolas</surname><given-names>Gaffan</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lamidhi</surname><given-names>Salami</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alphonse</surname><given-names>Kpozehouen</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Regional Direction of Health, Mono, Lokossa, Benin</addr-line></aff><aff id="aff4"><addr-line>Policies and Health Systems Department, Regional Institute of Public Health, Ouidah, Benin</addr-line></aff><aff id="aff1"><addr-line>Multidisciplinary Research Unity for Road Crashes Prevention (ReMPARt), Department of Epidemiology and Bio-Statistics, Regional Institute of Public Health, University of Abomey-Calavi, Ouidah, Benin</addr-line></aff><aff id="aff3"><addr-line>Regional Direction of Health, Zou, Abomey, Benin</addr-line></aff><pub-date pub-type="epub"><day>18</day><month>09</month><year>2023</year></pub-date><volume>13</volume><issue>04</issue><fpage>260</fpage><lpage>275</lpage><history><date date-type="received"><day>2,</day>	<month>August</month>	<year>2023</year></date><date date-type="rev-recd"><day>3,</day>	<month>November</month>	<year>2023</year>	</date><date date-type="accepted"><day>6,</day>	<month>November</month>	<year>2023</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>
 
 
  Introduction: In Benin, Heavy Goods Vehicle (HGV) drivers play an essential role in the logistics chain, facilitating the transportation of goods within the country or between other countries in the sub-region. HGV drivers are professionals who experience adverse working conditions, exposing them to risky behaviours, including Psychoactive Substance (PAS) misuse, leading to particularly severe road accidents. This study aimed to determine the prevalence of PAS misuse among HGV drivers and identify associated factors in Cotonou, Benin. 
  Materials and Methods: We conducted a cross-sectional survey involving HGV drivers at parking areas in Cotonou from 26 March to 10 April 2023. The dependent variable was the PAS misuse by HGV drivers, and the independent variables were related to their socio-demographic characteristics, health status and lifestyle habits, and professional characteristics. Data analysis involved determining the prevalence of PAS misuse with a 95% Confidence Interval (95% CI). Subsequently, we identified factors associated with PAS misuse among the participants using multivariate logistic regression. We presented the final regression results as adjusted odds ratios (aOR) with 95% CI. 
  Results: The study included 425 HGV drivers. Among them, 53 (12.47%, 95% CI = 9.64 - 15.98) were misusing PAS. Compared to drivers aged 35 and older, those aged under 25 (aOR = 10.67, 95% CI = 3.56 - 32.03) and those aged 25 to 34 (aOR = 3.47, 95% CI = 1.37 - 8.82) had higher odds of PAS misuse. Drivers with a primary education were less likely (aOR = 0.43, 95% CI = 0.19 - 0.97) to misuse PAS than those with no formal education. Drivers suffering from cardiovascular diseases were also three times more likely (aOR = 3.08, 95% CI = 1.08 - 8.81) to misuse PAS than others. The odds of PAS misuse were also higher among drivers who reported taking breaks than those claiming not to (aOR = 3.11, 95% CI = 1.57 - 6.18). 
  Conclusion: Driving under the influence of PAS is a risk factor for road accidents, associated with other factors highlighted in this study. Addressing these factors in prevention strategies through integrated approaches could lead to more effective results.
 
</p></abstract><kwd-group><kwd>Transportation</kwd><kwd> Alcohol</kwd><kwd> Psychoactive Substance</kwd><kwd> Driver</kwd><kwd> Professional</kwd><kwd> Benin</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Psychoactive Substances (PAS) encompass a group of products that, when consumed by an individual, lead to modifications in brain function, affecting cognition, emotions, perception, or behaviour [<xref ref-type="bibr" rid="scirp.128871-ref1">1</xref>] . These substances include tobacco and its derivatives, alcoholic products, drugs (cannabis, cocaine, etc.), stimulants, sedatives and sleeping pills, hallucinogens, inhalants, opioids, etc. [<xref ref-type="bibr" rid="scirp.128871-ref2">2</xref>] . The consequences of PAS consumption are manifold and depend on the specific substance, quantity consumed, and frequency of use, ranging from temporary effects on mood and perception to social and health problems, including fatalities [<xref ref-type="bibr" rid="scirp.128871-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref7">7</xref>] . In 2019, globally, approximately 19% of Disability-Adjusted Life Years (DALYs) and 23% of deaths among individuals aged 20 and above were attributed to the consumption of PAS (tobacco, alcohol, and drugs) [<xref ref-type="bibr" rid="scirp.128871-ref8">8</xref>] . Despite the strategies adopted and implemented at both international and national levels (strengthening legislation, enforcement, WHO Framework Convention on Tobacco Control, MPOWER program, SDG 3, etc.), recent data suggest an upward trend in non-tobacco PAS consumption [<xref ref-type="bibr" rid="scirp.128871-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref12">12</xref>] .</p><p>The main motivations cited by consumers of these products include seeking performance enhancement, fatigue reduction, coping with stress, depression, and anxiety, enhancing social connections, seeking pleasure, and recreational purposes [<xref ref-type="bibr" rid="scirp.128871-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref15">15</xref>] . However, fatigue, stress, and loneliness are part of routine life for many professionals, including Heavy Goods Vehicle (HGV) drivers, making them particularly susceptible to consuming PAS. A systematic review across America, Europe, Asia, and Africa reported the following prevalence of PAS consumption among truck drivers: 21.3% for amphetamines, 5.9% for cannabis, 4.3% for opioids, 4.1% for stimulants, 2.2% for cocaine, and 1.0% for benzodiazepines [<xref ref-type="bibr" rid="scirp.128871-ref16">16</xref>] . Nevertheless, an HGV driver operating under the influence of PAS poses a substantial risk to himself and other road users [<xref ref-type="bibr" rid="scirp.128871-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref18">18</xref>] . It is all the more worrying as road accidents involving HGVs are more lethal than those involving other types of vehicles. Factors determining PAS consumption among HGV drivers are related to their socio-demographic characteristics and the professional context in which they work [<xref ref-type="bibr" rid="scirp.128871-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref23">23</xref>] . Younger and less experienced drivers appear more likely to consume PAS than older and experienced counterparts [<xref ref-type="bibr" rid="scirp.128871-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref23">23</xref>] . Similarly, drivers with longer working hours and distances covered, and those reporting sleep disturbances and night driving, seem to be at a higher risk of PAS use [<xref ref-type="bibr" rid="scirp.128871-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref22">22</xref>] .</p><p>In Benin, as in most countries with access to the sea and port infrastructure, HGV drivers play a crucial role in the logistics chain, facilitating the transportation of goods within the country or between other countries in the sub-region. In recent years, with the development of road infrastructure, there has been an increase in the number of registered and operating HGVs on Benin’s roads [<xref ref-type="bibr" rid="scirp.128871-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref25">25</xref>] . According to the Transport Statistics Yearbooks, 2962 HGVs were registered in Benin between 2010 and 2018 [<xref ref-type="bibr" rid="scirp.128871-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref25">25</xref>] . A literature review suggests that besides the extent of PAS consumption among HGV drivers in Benin, the determinants of this behaviour are not well-documented. It constitutes a significant gap in the efforts to combat PAS consumption among HGV drivers. While road accidents involving HGV are less frequent than other road collisions in Benin, they are among the most severe and claim many victims [<xref ref-type="bibr" rid="scirp.128871-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref25">25</xref>] . This study aimed to fill these gaps by estimating the prevalence of PAS misuse among HGV drivers and identifying associated factors. The results will aid in designing context-specific interventions and guide future research endeavours.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Study Setting</title><p>Benin is a country located in the West African sub-region, covering an area of 114,763 km<sup>2</sup> with a population of 12,535,929 inhabitants in 2021 [<xref ref-type="bibr" rid="scirp.128871-ref26">26</xref>] . Administratively, Benin has 12 departments and 77 communes, with Cotonou as the economic capital. Investment in the transport infrastructure sector led to the length of paved roads increasing from 2303 km in 2013 to 2972 km in 2018 [<xref ref-type="bibr" rid="scirp.128871-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref25">25</xref>] . Cotonou’s main economic activities are in the tertiary sector, with some support from manufacturing industries and port operations (Cotonou Autonomous Port), which generate a lot of HGV traffic.</p></sec><sec id="s2_2"><title>2.2. Study Type, Study Population and Sampling</title><p>We conducted a cross-sectional study with data collection from 26 March to 10 April 2023 in HGV parking areas in Cotonou. These parking areas are an anchor point, stopover, rest area and base for this highly mobile profession. In this study, we included registered truck drivers, articulated vehicle drivers, or any other type of vehicle driver with an empty weight equal to or greater than 3.5 tons used for the road transport of goods. Only drivers who provided their consent to participate in the study were retained. Drivers who did not give their consent and those who were unable to answer the questions were excluded. The chosen parking areas included the Zongo parking area, the “Le B&#233;lier” parking area, the SOBEMAP parking area, and the Akassato parking area. Participants were selected using a non-probability method with a convenience sampling technique. In each parking area, any driver attending on the day of the investigator’s visit and meeting the selection criteria was included in the study. The minimum sample size required for the study, using the Schwartz formula with a prevalence of 50% (due to the unavailability of an estimate of the prevalence of PAS consumption among HGV drivers in Benin), a 5% error rate, 5% precision, and a 10% margin of error, was 425 [<xref ref-type="bibr" rid="scirp.128871-ref27">27</xref>] .</p></sec><sec id="s2_3"><title>2.3. Variables and Measurements</title><p>The dependent variable was the PAS misuse by HGV drivers assessed by the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) [<xref ref-type="bibr" rid="scirp.128871-ref2">2</xref>] . The ASSIST is a validated diagnostic tool developed by the World Health Organization (WHO) in collaboration with specialized researchers and clinicians [<xref ref-type="bibr" rid="scirp.128871-ref2">2</xref>] . The French-translated and validated version of the ASSIST was used in this study [<xref ref-type="bibr" rid="scirp.128871-ref28">28</xref>] . The ASSIST is a culturally neutral questionnaire designed for utilization in many contexts [<xref ref-type="bibr" rid="scirp.128871-ref2">2</xref>] . The PAS addressed by the ASSIST is tobacco, alcohol, cannabis, cocaine, amphetamine-type stimulants, sedatives and hypnotics (benzodiazepines), hallucinogens, inhalants, opioids, and others [<xref ref-type="bibr" rid="scirp.128871-ref2">2</xref>] . The tool consists of eight questions. Question 1 identifies the PAS that the individual has consumed during their lifetime. Question 2 identifies those consumed in the last three months. Questions 3 and 4 determine the extent of craving for the specified PAS and how many times they caused social, legal, or financial problems in the last three months. Question 5 assesses how many times the individual failed to perform expected activities due to their consumption in the last three months. Questions 6 and 7 explore whether someone close to the individual has been concerned about their PAS consumption and whether he has tried unsuccessfully to cut down. Finally, question 8 identifies drug use via injection. More details about the questions comprising the ASSIST and the response rating scale are available elsewhere [<xref ref-type="bibr" rid="scirp.128871-ref2">2</xref>] . The response to the ASSIST’s questions determines a score indicative of the level of PAS consumption for each driver, categorized into three levels: “low” risk consumption (occasional or non-problematic consumption), “moderate” (more regular consumption), or “high” (frequent and high-risk consumption) [<xref ref-type="bibr" rid="scirp.128871-ref2">2</xref>] . Finally, we generated the dependent variable (PAS misuse) which took the value 1 if a driver had moderate or high-risk consumption of at least one PAS and 0 otherwise.</p><p>The independent variables included in the study and identified based on a literature review [<xref ref-type="bibr" rid="scirp.128871-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref29">29</xref>] and empirical analysis of the context were:</p><p>&#183; socio-demographic characteristics of the driver: age (&lt;25, 25 - 34, ≥35), sex (male, female), level of education (no formal education, primary, secondary and higher), marital status (single, in a relationship), religion (Christian, Islam, traditional), child (yes, no), monthly income in Francs CFA (&lt;50,000, ≥50,000);</p><p>&#183; health status and lifestyle habits: history of cardiovascular diseases (yes, no), perception of sleep quality (insufficient, moderate, sufficient), perception of stress (not at all/rarely, sometimes/always), sleep duration in hours (&lt;7, ≥7), regular physical activity (yes, no);</p><p>&#183; professional characteristics: the practice of a rotation system—working with other drivers during driving—(yes, no), non-driving weekdays (yes, no), regular breaks while driving (yes, no), distance travelled per day in kilometres (&lt;150, ≥150), and age of driving licence (&lt;5, ≥5).</p></sec><sec id="s2_4"><title>2.4. Data Collection and Processing</title><p>Data were collected through a structured questionnaire that was digitized using KoboToolBox. Before data collection, two-day training for the investigators took place, covering the study context, objectives, and methodological aspects such as sampling, questionnaire filling, data transmission, and ethical considerations. A pretest was conducted at the end of the training to finalize the tool.</p></sec><sec id="s2_5"><title>2.5. Data Analysis</title><p>We performed data analysis in two phases: descriptive and analytical. In the descriptive phase, we described the variables using frequencies and percentages. Subsequently, we calculated the prevalence of low-, moderate-, and high-risk PAS consumption with 95% Confidence Intervals (95% CI). Additionally, we determined the prevalence of overall PAS misuse with a 95% CI. The goal of the analytical phase was to identify predictors of PAS misuse among participants. We used simple logistic regression to cross each independent variable with the dichotomized dependent variable. In the multivariate analysis, we only included variables with p less than 0.20 from the univariate analysis. Following a stepwise downward strategy, we progressively eliminated the less significant variables (p &gt; 0.05) to have only variables with p &lt; 0.05 in the final model. The Hosmer-Lemeshow test was used to evaluate the final model goodness of fit. The results were presented as crude or adjusted Odds Ratios (OR) with 95% CI. The significance level was set at 5%. Data analysis was performed with Stata 15.</p></sec><sec id="s2_6"><title>2.6. Ethical and Deontological Considerations</title><p>The study received ethical approval from the institutional protocol review group of the Regional Institute of Public Health, University of Abomey-Calavi. We have also obtained administrative clearance from the relevant bodies before collecting the data. Before participation, the drivers received a briefing note on the study context, objectives, and expected outcomes. Data collected from the participants were anonymous, confidential, and obtained individually after obtaining written and informed consent from each surveyed driver.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Basic Characteristics of Participants</title><p><xref ref-type="table" rid="table1">Table 1</xref> presents the basic characteristics of the participants. We included 425</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Basic characteristics of HGV drivers, Cotonou, 2022 (n = 425)</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" >Age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;25</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >10.35</td></tr><tr><td align="center" valign="middle" >25 - 34</td><td align="center" valign="middle" >210</td><td align="center" valign="middle" >49.41</td></tr><tr><td align="center" valign="middle" >≥35</td><td align="center" valign="middle" >171</td><td align="center" valign="middle" >40.24</td></tr><tr><td align="center" valign="middle" >Sex</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" >425</td><td align="center" valign="middle" >100.00</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >Level of education</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No formal education</td><td align="center" valign="middle" >79</td><td align="center" valign="middle" >18.59</td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >222</td><td align="center" valign="middle" >52.24</td></tr><tr><td align="center" valign="middle" >Secondary and higher</td><td align="center" valign="middle" >124</td><td align="center" valign="middle" >29.18</td></tr><tr><td align="center" valign="middle" >Marital status</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" >160</td><td align="center" valign="middle" >37.65</td></tr><tr><td align="center" valign="middle" >In a relationship</td><td align="center" valign="middle" >265</td><td align="center" valign="middle" >62.35</td></tr><tr><td align="center" valign="middle" >Religion</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Christian</td><td align="center" valign="middle" >312</td><td align="center" valign="middle" >73.41</td></tr><tr><td align="center" valign="middle" >Islam</td><td align="center" valign="middle" >102</td><td align="center" valign="middle" >24.00</td></tr><tr><td align="center" valign="middle" >Traditional</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >2.59</td></tr><tr><td align="center" valign="middle" >Child</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" >128</td><td align="center" valign="middle" >30.12</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >297</td><td align="center" valign="middle" >69.88</td></tr><tr><td align="center" valign="middle" >Monthly income (Francs CFA)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;50,000</td><td align="center" valign="middle" >95</td><td align="center" valign="middle" >22.35</td></tr><tr><td align="center" valign="middle" >≥50,000</td><td align="center" valign="middle" >330</td><td align="center" valign="middle" >77.65</td></tr><tr><td align="center" valign="middle" >History of CVD</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" >399</td><td align="center" valign="middle" >93.88</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >6.12</td></tr><tr><td align="center" valign="middle" >Perception of sleep quality</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Insufficient</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >9.41</td></tr><tr><td align="center" valign="middle" >Moderate</td><td align="center" valign="middle" >134</td><td align="center" valign="middle" >31.53</td></tr><tr><td align="center" valign="middle" >Sufficient</td><td align="center" valign="middle" >251</td><td align="center" valign="middle" >59.06</td></tr><tr><td align="center" valign="middle" >Perception of stress</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Not at all/rarely</td><td align="center" valign="middle" >254</td><td align="center" valign="middle" >65.30</td></tr><tr><td align="center" valign="middle" >Sometimes/always</td><td align="center" valign="middle" >135</td><td align="center" valign="middle" >34.70</td></tr><tr><td align="center" valign="middle" >Sleep duration (hours)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;7</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.47</td></tr><tr><td align="center" valign="middle" >≥7</td><td align="center" valign="middle" >423</td><td align="center" valign="middle" >99.53</td></tr><tr><td align="center" valign="middle" >Regular physical activity</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" >358</td><td align="center" valign="middle" >84.24</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >67</td><td align="center" valign="middle" >15.76</td></tr><tr><td align="center" valign="middle" >Practice of a rotation system</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" >376</td><td align="center" valign="middle" >88.47</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >11.53</td></tr><tr><td align="center" valign="middle" >Non-driving weekdays</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" >133</td><td align="center" valign="middle" >31.29</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >292</td><td align="center" valign="middle" >68.71</td></tr><tr><td align="center" valign="middle" >Regular breaks while driving</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" >270</td><td align="center" valign="middle" >63.53</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >155</td><td align="center" valign="middle" >36.47</td></tr><tr><td align="center" valign="middle" >Distance travelled per day (km)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;150</td><td align="center" valign="middle" >179</td><td align="center" valign="middle" >42.32</td></tr><tr><td align="center" valign="middle" >≥150</td><td align="center" valign="middle" >244</td><td align="center" valign="middle" >57.68</td></tr><tr><td align="center" valign="middle" >Age of driving licence</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;5</td><td align="center" valign="middle" >135</td><td align="center" valign="middle" >31.76</td></tr><tr><td align="center" valign="middle" >≥5</td><td align="center" valign="middle" >290</td><td align="center" valign="middle" >68.24</td></tr></tbody></table></table-wrap><p>HGV drivers in the study. Their mean age was 33.36 &#177; 7.74, with a minimum of 18 and a maximum of 60. There were no female drivers in the study. Over half (52.24%) of the drivers had primary education. Nearly one-fifth of the drivers reported not having received formal education. Most of the drivers were in a relationship (62.35%), Christian (73.41%) and had children (69.88%). Concerning professional status, about eight out of ten drivers had a monthly income equal to or greater than 50,000 Francs CFA (about 84 USD). Approximately 6% of drivers reported a history of cardiovascular diseases. About six out of ten drivers reported having sufficient sleep quality. When asked about feeling frequently stressed, 34.70% of the drivers answered affirmatively. Among the participants, 15.76% engaged in regular physical activity. Less than half of the drivers (11.53%) practised a rotation system, sharing driving duties with other drivers. Also, 31.29% worked every day of the week, and 36.47% said they usually took breaks while driving. Two hundred and forty-four HGV drivers, equivalent to 57.68%, usually reported covering at least 150 kilometres per day. About seven out of ten drivers obtained their driving licenses at least five years ago.</p></sec><sec id="s3_2"><title>3.2. Level of PAS Consumption</title><p><xref ref-type="table" rid="table2">Table 2</xref> highlights the level of consumption risk for each of the studied PAS. Among the surveyed drivers, 2.82% (95% CI = 1.61 - 4.92), 4.47% (95% CI = 2.86 - 6.91), and 6.35% (95% CI = 4.39 - 9.12) had a moderate risk of amphetamines, alcohol and tobacco consumption, respectively. High consumption risk was observed for alcohol (0.47%; 95% CI = 0.12 - 1.87), amphetamines (0.24%; 95% CI = 0.03 - 1.66), and opioids (0.24%; 95% CI = 0.03 - 1.66). Overall, 53 drivers, corresponding to 12.47% (95% CI = 9.64 - 15.98), had moderate or high-risk consumption of at least one PAS (misuse).</p></sec><sec id="s3_3"><title>3.3. Factors Associated with PAS Misuse</title><p><xref ref-type="table" rid="table3">Table 3</xref> reports results from univariate analysis. The PAS misuse was significantly higher among drivers under 35 years compared to those aged 35 and above (38.64% vs 3.51%, p &lt; 0.001 and 14.29% vs 3.51%, p = 0.001). It was also higher among those with no formal education compared to those with primary education (17.72% vs 8.11%, p = 0.020), those of single versus couple status (21.25% vs 7.17%, p &lt; 0.001), as well as among those without children (4.38% vs</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Level of PAS consumption among HGV drivers, Cotonou, 2022 (n = 425)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Psychoactive Substances</th><th align="center" valign="middle"  colspan="3"  >Risk level of consumption (%, 95% CI)</th></tr></thead><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >Moderate</td><td align="center" valign="middle" >High</td></tr><tr><td align="center" valign="middle" >Tobacco</td><td align="center" valign="middle" >93.65</td><td align="center" valign="middle" >6.35</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >90.88 - 95.61</td><td align="center" valign="middle" >4.39 - 9.12</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Alcohol</td><td align="center" valign="middle" >95.06</td><td align="center" valign="middle" >4.47</td><td align="center" valign="middle" >0.47</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >92.53 - 96.76</td><td align="center" valign="middle" >2.86 - 6.91</td><td align="center" valign="middle" >0.12 - 1.87</td></tr><tr><td align="center" valign="middle" >Cannabis</td><td align="center" valign="middle" >99.53</td><td align="center" valign="middle" >0.47</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >98.13 - 99.88</td><td align="center" valign="middle" >0.12 - 1.87</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Cocaine</td><td align="center" valign="middle" >99.76</td><td align="center" valign="middle" >0.24</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >98.34 - 99.97</td><td align="center" valign="middle" >0.03 - 1.66</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Amphetamine</td><td align="center" valign="middle" >96.94</td><td align="center" valign="middle" >2.82</td><td align="center" valign="middle" >0.24</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >94.79 - 98.22</td><td align="center" valign="middle" >1.61 - 4.92</td><td align="center" valign="middle" >0.03 - 1.66</td></tr><tr><td align="center" valign="middle" >Inhalants</td><td align="center" valign="middle" >99.76</td><td align="center" valign="middle" >0.24</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >98.34 - 99.97</td><td align="center" valign="middle" >0.03 - 1.66</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Sedatives</td><td align="center" valign="middle" >99.06</td><td align="center" valign="middle" >0.94</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >97.51 - 99.65</td><td align="center" valign="middle" >0.35 - 2.49</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Hallucinogenic</td><td align="center" valign="middle" >99.76</td><td align="center" valign="middle" >0.24</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >98.34 - 99.97</td><td align="center" valign="middle" >0.03 - 1.66</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Opioids</td><td align="center" valign="middle" >99.76</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0.24</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >98.34 - 99.97</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.03 - 1.66</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Univariate analysis of PAS misuse among HGV drivers, Cotonou, 2022</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="2"  >Misuse</th><th align="center" valign="middle"  colspan="3"  >Univariate analysis</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >cOR</td><td align="center" valign="middle" >95% CI</td><td align="center" valign="middle" >p</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></tr><tr><td align="center" valign="middle" >&lt;25</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >38.64</td><td align="center" valign="middle" >17.31</td><td align="center" valign="middle" >6.27 - 47.81</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >25 - 34</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >14.29</td><td align="center" valign="middle" >4.58</td><td align="center" valign="middle" >1.86 - 11.29</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >≥35</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >3.51</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></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" >53</td><td align="center" valign="middle" >12.47</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" >0</td><td align="center" valign="middle" >0.00</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" >Level of education</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" >No formal education</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >17.72</td><td align="center" valign="middle" >1.00</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" >18</td><td align="center" valign="middle" >8.11</td><td align="center" valign="middle" >0.41</td><td align="center" valign="middle" >0.19 - 0.87</td><td align="center" valign="middle" >0.020</td></tr><tr><td align="center" valign="middle" >Secondary and higher</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >16.94</td><td align="center" valign="middle" >0.95</td><td align="center" valign="middle" >0.45 - 1.99</td><td align="center" valign="middle" >0.885</td></tr><tr><td align="center" valign="middle" >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></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >21.25</td><td align="center" valign="middle" >3.49</td><td align="center" valign="middle" >1.92 - 6.37</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >In a relationship</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >7.17</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Religion</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" >Christian</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >14.42</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Islam</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >7.84</td><td align="center" valign="middle" >0.50</td><td align="center" valign="middle" >0.23 - 1.11</td><td align="center" valign="middle" >0.089</td></tr><tr><td align="center" valign="middle" >Traditional</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Child</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" >No</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >25.00</td><td align="center" valign="middle" >4.38</td><td align="center" valign="middle" >2.41 - 7.96</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >7.07</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Monthly income (Francs CFA)</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" >&lt;50,000</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15.79</td><td align="center" valign="middle" >1.44</td><td align="center" valign="middle" >0.75 - 2.75</td><td align="center" valign="middle" >0.268</td></tr><tr><td align="center" valign="middle" >≥50,000</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >11.52</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >History of CVD</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" >No</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >11.53</td><td align="center" valign="middle" >1.00</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" >26.92</td><td align="center" valign="middle" >2.83</td><td align="center" valign="middle" >1.13 - 7.09</td><td align="center" valign="middle" >0.027</td></tr><tr><td align="center" valign="middle" >Perception of sleep quality</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" >Insufficient</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >15.00</td><td align="center" valign="middle" >1.30</td><td align="center" valign="middle" >0.50 - 3.35</td><td align="center" valign="middle" >0.588</td></tr><tr><td align="center" valign="middle" >Moderate</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >12.69</td><td align="center" valign="middle" >1.07</td><td align="center" valign="middle" >0.57 - 2.02</td><td align="center" valign="middle" >0.834</td></tr><tr><td align="center" valign="middle" >Sufficient</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >11.95</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Perception of stress</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" >Not at all/rarely</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >13.39</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Sometimes/always</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >10.37</td><td align="center" valign="middle" >0.75</td><td align="center" valign="middle" >0.39 - 1.45</td><td align="center" valign="middle" >0.391</td></tr><tr><td align="center" valign="middle" >Sleep duration (hours)</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" >&lt;7</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >50.00</td><td align="center" valign="middle" >7.13</td><td align="center" valign="middle" >0.44 - 115.81</td><td align="center" valign="middle" >0.167</td></tr><tr><td align="center" valign="middle" >≥7</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >12.29</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Regular physical activity</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" >No</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >12.01</td><td align="center" valign="middle" >1.00</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" >10</td><td align="center" valign="middle" >14.93</td><td align="center" valign="middle" >1.29</td><td align="center" valign="middle" >0.61 - 2.70</td><td align="center" valign="middle" >0.508</td></tr><tr><td align="center" valign="middle" >Practice of a rotation system</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" >No</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >12.77</td><td align="center" valign="middle" >1.29</td><td align="center" valign="middle" >0.49 - 3.41</td><td align="center" valign="middle" >0.611</td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >10.20</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Non-driving weekdays</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" >No</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >7.52</td><td align="center" valign="middle" >1.00</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" >43</td><td align="center" valign="middle" >14.73</td><td align="center" valign="middle" >2.12</td><td align="center" valign="middle" >1.03 - 4.37</td><td align="center" valign="middle" >0.041</td></tr><tr><td align="center" valign="middle" >Regular breaks while driving</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" >No</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >5.56</td><td align="center" valign="middle" >1.00</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" >38</td><td align="center" valign="middle" >24.52</td><td align="center" valign="middle" >5.52</td><td align="center" valign="middle" >2.92 - 10.43</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >Distance travelled per day (km)</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" >&lt;150</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >16.20</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" >0.32 - 1.01</td><td align="center" valign="middle" >0.053</td></tr><tr><td align="center" valign="middle" >≥150</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >9.84</td><td align="center" valign="middle" >0.56</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Age of driving licence</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" >&lt;5</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >25.19</td><td align="center" valign="middle" >4.80</td><td align="center" valign="middle" >2.62 - 8.80</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >≥5</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >6.55</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>1.00%, p &lt; 0.001) and those with a history of cardiovascular disease (25.00% vs 7.07%, p &lt; 0.001). Additionally, PAS misuse was more common among drivers who reported taking breaks during their journeys (24.52% vs 5.56%, p &lt; 0.041) and those who observed days without driving weekly (14.73% vs 7.73%, p = 0.041). Following the univariate analysis, the following variables considered in the multivariate analysis (p &lt; 0.20) were: age, level of education, marital status, religion, child, history of cardiovascular diseases, sleep duration, non-driving weekdays, regular breaks while driving, and age of driving license.</p><p>In the multivariate analysis, the factors associated with PAS misuse were age, level of education, history of cardiovascular diseases, and taking breaks (<xref ref-type="table" rid="table4">Table 4</xref>). Compared to drivers aged 35 and above, those aged below 25 (aOR = 10.67, 95% CI = 3.56 - 32.03, p &lt; 0.001) and those aged 25 to 34 (aOR = 3.47, 95% CI = 1.37 - 8.82, p = 0.009) had higher odds of PAS misuse. Drivers with a primary education were less likely (aOR = 0.43, 95% CI = 0.19 - 0.97, p = 0.043) to misuse PAS than those with no formal education. Drivers with cardiovascular diseases</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Multivariate analysis of factors associated with PAS misuse among HGV drivers, Cotonou, 2022</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >aOR</th><th align="center" valign="middle" >95% CI</th><th align="center" valign="middle" >p</th></tr></thead><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></tr><tr><td align="center" valign="middle" >&lt;25</td><td align="center" valign="middle" >10.67</td><td align="center" valign="middle" >3.56 - 32.03</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >25 - 34</td><td align="center" valign="middle" >3.47</td><td align="center" valign="middle" >1.37 - 8.82</td><td align="center" valign="middle" >0.009</td></tr><tr><td align="center" valign="middle" >≥35</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Level of education</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 formal education</td><td align="center" valign="middle" >1.00</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" >0.43</td><td align="center" valign="middle" >0.19 - 0.97</td><td align="center" valign="middle" >0.043</td></tr><tr><td align="center" valign="middle" >Secondary and higher</td><td align="center" valign="middle" >0.68</td><td align="center" valign="middle" >0.29 - 1.57</td><td align="center" valign="middle" >0.367</td></tr><tr><td align="center" valign="middle" >History of CVD</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" >1.00</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" >3.08</td><td align="center" valign="middle" >1.08 - 8.81</td><td align="center" valign="middle" >0.035</td></tr><tr><td align="center" valign="middle" >Regular breaks while driving</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" >1.00</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" >3.11</td><td align="center" valign="middle" >1.57 - 6.18</td><td align="center" valign="middle" >0.001</td></tr></tbody></table></table-wrap><p>were three times more likely to misuse PAS than others (aOR = 3.08; 95% CI = 1.08 - 8.81, p = 0.035). The odds of PAS misuse were also higher among drivers who reported taking breaks than those claiming not to (aOR = 3.11; 95% CI = 1.57 - 6.18, p = 0.001).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>Investigating the level of PAS misuse among HGV drivers is part of an effort to improve their living and working conditions. It is a professional group exposed to lifestyles and working conditions that are not conducive to good health [<xref ref-type="bibr" rid="scirp.128871-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref31">31</xref>] .</p><p>In the scientific literature, two approaches are generally adopted to assess PAS consumption among HGV drivers. The first one involves evaluating recent consumption based on drivers’ self-reports using questionnaires or conducting urine or blood tests. The second one aims to determine past consumption (over the previous weeks or months), which better accounts for the social and health consequences. Besides, there is variability in the range of substances considered from one study to another, with some focusing on a particular one, typically alcohol, while others examine multiple ones. As a result, the opportunities for comparing the level of PAS misuse among HGV drivers, as highlighted by different studies on the subject, are limited. It emphasizes the need for standardization of data collection methods to facilitate comparisons. We assessed PAS misuse using the ASSIST, which considers the three months preceding the survey date. As a screening tool, the ASSIST offers the advantage of easy administration and comprehensive coverage of most PAS categories. We included the following PAS: tobacco, alcohol, cannabis, cocaine, amphetamine-type stimulants, sedatives and sleeping pills (benzodiazepines), hallucinogens, inhalants, and opioids. Among the surveyed drivers, we observed that 12.47 were experiencing PAS misuse. Besides, high-risk consumption was observed for alcohol, amphetamines, and opioids in 0.24% to 0.47% of drivers. A study in Brazil in 2022, using the same screening tool, reported a prevalence of high-risk consumption of at least one PAS at 23% [<xref ref-type="bibr" rid="scirp.128871-ref19">19</xref>] . This difference could be explained by greater accessibility to illicit drugs in that geographical area compared to Benin.</p><p>We observed that the odds of PAS misuse were significantly higher among young drivers, especially those under 35. This finding corroborates the conclusions of other studies [<xref ref-type="bibr" rid="scirp.128871-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref21">21</xref>] . In Brazil (2015), drivers under 40 were 2.11 times more likely to consume PAS than their counterparts aged 40 and above [<xref ref-type="bibr" rid="scirp.128871-ref21">21</xref>] . Similarly, in Ethiopia in 2021, drivers aged 38 and above were 60% less likely to consume PAS than their counterparts under 38 [<xref ref-type="bibr" rid="scirp.128871-ref20">20</xref>] . Young individuals may be more inclined to work longer hours and irregular schedules than their older or married colleagues, which increases the risk of higher workloads and consequent use of products to maintain good performance [<xref ref-type="bibr" rid="scirp.128871-ref21">21</xref>] . In contrast, older individuals are more likely to have family responsibilities, which leads them to be more responsible in their behaviour and lead a healthy lifestyle [<xref ref-type="bibr" rid="scirp.128871-ref21">21</xref>] . It is well-known that most people who consume PAS start during adolescence [<xref ref-type="bibr" rid="scirp.128871-ref32">32</xref>] .</p><p>The findings suggest a significant negative relationship between educational level and PAS misuse. Drivers with a primary education were less likely to misuse PAS than those with no formal education. Educational level is a social determinant of health that influences individuals’ ability to make health-favorable decisions for themselves and their loved ones [<xref ref-type="bibr" rid="scirp.128871-ref33">33</xref>] . Well-educated drivers would be more aware of the health, social, legal, or financial issues associated with PAS. In the present study, just over half of the surveyed drivers had a primary education, and nearly one in five drivers had received no formal education. For this group, whose educational level may not be significantly improved at an advanced age, implementing information, education, and communication campaigns on PAS with peer support is a promising approach [<xref ref-type="bibr" rid="scirp.128871-ref34">34</xref>] . The requirement for HGV drivers to hold a specific driving license provides the opportunity to focus on PAS prevention by reinforcing their knowledge during the training phase. In a study conducted in Ethiopia in 2021, which reported a contrary relationship to what we found, the authors emphasized that the consumption of PAS may be seen as a manifestation of modernity and success, leading to higher consumption rates among groups with relatively higher educational levels [<xref ref-type="bibr" rid="scirp.128871-ref20">20</xref>] .</p><p>We also observed PAS misuse among drivers who reported taking breaks during driving. These drivers were three times more likely to misuse PAS than others. Similarly, a study conducted in Ethiopia in 2021 found that truck drivers who took breaks between trips were twice as likely to consume PAS than those who did not take breaks between trips [<xref ref-type="bibr" rid="scirp.128871-ref20">20</xref>] . It could be explained by the fact that after long hours of driving, some drivers experience a decline in performance (reduced attention and reactivity, drowsiness, accumulated fatigue) and decide to take a rest during which they may be tempted to consume PAS to accelerate the recovery process [<xref ref-type="bibr" rid="scirp.128871-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.128871-ref31">31</xref>] . For other drivers, it could signify a progression towards dependence, where they develop a need to take regular breaks to be able to consume PAS.</p><p>We found that PAS misuse was more prevalent among individuals with cardiovascular diseases. Those with cardiovascular diseases were three times more likely to have PAS misuse than non-affected individuals. Having a history of cardiovascular illness can be a source of stress and anxiety for some drivers, which creates a conducive environment for PAS consumption. Additionally, in the context of Benin, self-medication and the use of traditional remedies passed down by elders or based on rumours are widespread practices. Some HGV drivers may be motivated to consume PAS based on the belief or perception that these substances are effective in treating ailments. Further research is needed to document why people with chronic illnesses misuse PAS.</p><p>We can identify some limitations of this study. The cross-sectional design does not allow for establishing a causal relationship between the considered exposures and the dependent variable. As previously mentioned, we assessed PAS misuse using the ASSIST. The responses to the ASSIST’s questions were self-reported by participants, which could introduce desirability bias, leading to an underestimation of the prevalence of their risk behaviours. Besides, the retrospective nature of the ASSIST’s questions (covering the past three months) relying on memory could introduce recall bias. Despite these limitations, the findings of this study remain of great interest in a professional sector with significant individual and population risks, which has been somewhat sidelined in public health terms in Benin.</p></sec><sec id="s5"><title>5. Conclusion</title><p>We found that a significant proportion of HGV drivers misused PAS. Therefore, addressing the issue of PAS consumption among HGV drivers should receive greater attention from public authorities. Driving under the influence of PAS is recognized as a primary risk factor for the occurrence and severity of road accidents. This study also suggests that this behaviour is associated with other factors. The PAS misuse among HGV drivers varied according to their socio-demographic characteristics, health status and professional characteristics. Considering all these factors in prevention strategies based on an integrated approach would likely yield more effective results. Special attention should be given to implementing interventions targeting young HGV drivers, those without formal education, those who take regular breaks while driving, and those with a history of cardiovascular conditions.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Gl&#232;l&#232;-Ahanhanzo, Y., Mohammed, N., Daddah, D., Gaffan, N., Salami, L. and Kpozehouen, A. (2023) Prevalence and Factors Associated with Psychoactive Substance Misuse among Heavy Goods Vehicle Drivers in Cotonou, Benin. Open Journal of Epidemiology, 13, 260-275. https://doi.org/10.4236/ojepi.2023.134020</p></sec></body><back><ref-list><title>References</title><ref id="scirp.128871-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">National Cancer Institute (2011) NCI Dictionary of Cancer Terms: Definition of Psychoactive Substance.  
https://www.cancer.gov/publications/dictionaries/cancer-terms/def/psychoactive-substance</mixed-citation></ref><ref id="scirp.128871-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Humeniuk, R. and World Health Organization (2010) The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST): Manual for Use in Primary Care. World Health Organization, Geneva.</mixed-citation></ref><ref id="scirp.128871-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Omare, M.O., Kibet, J.K., Cherutoi, J.K. and Kengara, F.O. (2022) A Review of Tobacco Abuse and Its Epidemiological Consequences. Zeitschrift Fur Gesundheitswissenschaften, 30, 1485-1500. https://doi.org/10.1007/s10389-020-01443-4</mixed-citation></ref><ref id="scirp.128871-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Hendriks, H.F.J. (2020) Alcohol and Human Health: What Is the Evidence? Annual Review of Food Science and Technology, 11, 1-21.  
https://doi.org/10.1146/annurev-food-032519-051827</mixed-citation></ref><ref id="scirp.128871-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Karila, L., Roux, P., Rolland, B., Benyamina, A., Reynaud, M., Aubin, H.-J. and Lan&amp;#231;on, C. (2014) Acute and Long-Term Effects of Cannabis Use: A Review. Current Pharmaceutical Design, 20, 4112-4118.  
https://doi.org/10.2174/13816128113199990620</mixed-citation></ref><ref id="scirp.128871-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Farzam, K., Faizy, R.M. and Saadabadi, A. (2023) Stimulants. StatPearls Publishing, Treasure Island. http://www.ncbi.nlm.nih.gov/books/NBK539896/</mixed-citation></ref><ref id="scirp.128871-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Havakuk, O., Rezkalla, S.H. and Kloner, R.A. (2017) The Cardiovascular Effects of Cocaine. Journal of the American College of Cardiology, 70, 101-113.  
https://doi.org/10.1016/j.jacc.2017.05.014</mixed-citation></ref><ref id="scirp.128871-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Institute for Health Metrics and Evaluation (2023) Global Burden of Disease 2019: Data Visualization. https://vizhub.healthdata.org/gbd-results/</mixed-citation></ref><ref id="scirp.128871-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">World Health Organization (2018) Global Status Report on Alcohol and Health 2018. World Health Organization, Geneva.  
https://apps.who.int/iris/handle/10665/274603</mixed-citation></ref><ref id="scirp.128871-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Office des Nations Unies contre les Drogues et le Crime (2005) Rapport Mondial Sur Les Drogues 2005. ONUDC, Vienne.</mixed-citation></ref><ref id="scirp.128871-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Office des Nations Unies contre les Drogues et le Crime (2018) Rapport Mondial Sur Les Drogues 2018. ONUDC, Vienne.</mixed-citation></ref><ref id="scirp.128871-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Organisation mondiale de la Santé (2021) Rapport de l’OMS sur l’épidémie mondiale de tabagisme, 2021: Les produits nouveaux et émergents. Organisation mondiale de la Santé, Genève. https://apps.who.int/iris/handle/10665/363230</mixed-citation></ref><ref id="scirp.128871-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Soussan, C., Andersson, M. and Kjellgren, A. (2018) The Diverse Reasons for Using Novel Psychoactive Substances—A Qualitative Study of the Users’ Own Perspectives. International Journal of Drug Policy, 52, 71-78.  
https://doi.org/10.1016/j.drugpo.2017.11.003</mixed-citation></ref><ref id="scirp.128871-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Kpozehouen, A., Ahanhanzo, Y.G., Para&amp;#239;so, M.N., Munezero, F., Saizonou, J.Z., Makoutodé, M. and Ouedraogo, L.T. (2015) Facteurs associés à l’usage de substances psychoactives chez les adolescents au Bénin. Sante Publique, 27, 871-880.  
https://doi.org/10.3917/spub.156.0871</mixed-citation></ref><ref id="scirp.128871-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Martínez-Vélez, N.A., Tiburcio, M., Natera Rey, G., Villatoro Velázquez, J.A., Arroyo-Belmonte, M., Sánchez-Hernández, G.Y. and Fernández-Torres, M. (2021) Psychoactive Substance Use and Its Relationship to Stress, Emotional State, Depressive Symptomatology, and Perceived Threat during the COVID-19 Pandemic in Mexico. Frontiers in Public Health, 9, Article ID: 709410.  
https://doi.org/10.3389/fpubh.2021.709410</mixed-citation></ref><ref id="scirp.128871-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Dini, G., Bragazzi, N.L., Montecucco, A., Rahmani, A. and Durando, P. (2019) Psychoactive Drug Consumption among Truck-Drivers: A Systematic Review of the Literature with Meta-Analysis and Meta-Regression. Journal of Preventive Medicine and Hygiene, 60, E124-E139.</mixed-citation></ref><ref id="scirp.128871-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Chen, S., Zhang, S., Xing, Y. and Lu, J. (2020) Identifying the Factors Contributing to the Severity of Truck-Involved Crashes in Shanghai River-Crossing Tunnel. International Journal of Environmental Research and Public Health, 17, Article No. 3155. https://doi.org/10.3390/ijerph17093155</mixed-citation></ref><ref id="scirp.128871-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Jakobsen, M.D., Glies Vincents Seeberg, K., M&amp;#248;ller, M., Kines, P., J&amp;#248;rgensen, P., Malchow-M&amp;#248;ller, L., Andersen, A.B. and Andersen, L.L. (2023) Influence of Occupational Risk Factors for Road Traffic Crashes among Professional Drivers: Systematic Review. Transport Reviews, 43, 533-563.  
https://doi.org/10.1080/01441647.2022.2132314</mixed-citation></ref><ref id="scirp.128871-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Abreu, A., Costa, R., Portela, I., Jomar, R., Sousa, A.I. and Souza, M.H. (2020) Factors Associated with Psychoactive Substance Use among Truck Drivers. European Journal of Public Health, 30, ckaa166.1368.  
https://doi.org/10.1093/eurpub/ckaa166.1368</mixed-citation></ref><ref id="scirp.128871-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Yosef, T., Getachew, D., Bogale, B., Wondimu, W., Shifera, N., Negesse, Y., Zewudie, A., Niguse, W., Tesfaw, A. and Gerensea, H. (2021) Psychoactive Substance Use and Its Associated Factors among Truck Drivers in Ethiopia. BioMed Research International, 2021, Article ID: 1604245. https://doi.org/10.1155/2021/1604245</mixed-citation></ref><ref id="scirp.128871-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Girotto, E., Mesas, A.E., de Andrade, S.M. and Birolim, M.M. (2014) Psychoactive Substance Use by Truck Drivers: A Systematic Review. Occupational and Environmental Medicine, 71, 71-76. https://doi.org/10.1136/oemed-2013-101452</mixed-citation></ref><ref id="scirp.128871-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Sinagawa, D.M., De Carvalho, H.B., Andreuccetti, G., Do Prado, N.V., De Oliveira, K.C.B.G., Yonamine, M., Mu&amp;#241;oz, D.R., Gjerde, H. and Leyton, V. (2015) Association between Travel Length and Drug Use among Brazilian Truck Drivers. Traffic Injury Prevention, 16, 5-9. https://doi.org/10.1080/15389588.2014.906589</mixed-citation></ref><ref id="scirp.128871-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Punia, M.S., Punia, A., et al. (2020) Alcohol and Drug Intake Pattern among Truckers of Haryana, India. International Journal of Community Medicine and Public Health, 7, 1026-1033. https://doi.org/10.18203/2394-6040.ijcmph20200960</mixed-citation></ref><ref id="scirp.128871-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Ministère des Infrastructures et des Transports (2017) Annuaire Des Statistiques 2013-2016.  
https://transports.bj/wp-content/uploads/2018/03/Annuaire_Statistique_TPT_2013_2016_VF.pdf</mixed-citation></ref><ref id="scirp.128871-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Ministère des Infrastructures et des Transports (2021) Annuaire Des Statistiques 2017-2018. MIT, Cotonou.</mixed-citation></ref><ref id="scirp.128871-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Ministry of Health (2022) Yearbook of Health Statistics 2021. MoH, Cotonou.</mixed-citation></ref><ref id="scirp.128871-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Schwartz, D. (1993) Méthodes statistiques à l’usage des médecins et des biologistes. Médecine Sciences Publications.</mixed-citation></ref><ref id="scirp.128871-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Khan, R., Chatton, A., Nallet, A., Broers, B., Thorens, G., Achab-Arigo, S., Poznyak, V., Fleischmann, A., Khazaal, Y. and Zullino, D. (2011) Validation of the French Version of the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). European Addiction Research, 17, 190-197. https://doi.org/10.1159/000326073</mixed-citation></ref><ref id="scirp.128871-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Akande, R.O., Akande, J.O., Babatunde, O.A., Ajayi, A.O., Ajayi, A.A., Ige, R.O., Saliu, A.S., Akande, A. and Olatunji, M.B. (2023) Psychoactive Substance Abuse among Commercial Bus Drivers in Umuahia, Abia State, South-Eastern Nigeria: An Uncontrolled “Epidemic” with Attendant Road Traffic Crashes. BMC Public Health, 23, Article No. 250. https://doi.org/10.1186/s12889-023-15039-6</mixed-citation></ref><ref id="scirp.128871-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">van Vreden, C., Xia, T., Collie, A., Pritchard, E., Newnam, S., Lubman, D.I., de Almeida Neto, A. and Iles, R. (2022) The Physical and Mental Health of Australian Truck Drivers: A National Cross-Sectional Study. BMC Public Health, 22, Article No. 464. https://doi.org/10.1186/s12889-022-12850-5</mixed-citation></ref><ref id="scirp.128871-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Messier, S., Bellavance, F. and Duguay, P. (2013) Accidents Routiers Au Travail-Revue de La Littérature. IRSST, Montréal (Québec).  
https://www.irsst.qc.ca/media/documents/PubIRSST/R-791.pdf</mixed-citation></ref><ref id="scirp.128871-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Izenwasser, S. (2005) Differential Effects of Psychoactive Drugs in Adolescents and Adults. Critical Reviews in Neurobiology, 17, 51-68.  
https://doi.org/10.1615/CritRevNeurobiol.v17.i2.10</mixed-citation></ref><ref id="scirp.128871-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Anctil, H., Jobin, L., Pigeon, M., Emond, A. and Quebec (Province), Ministère de la santé et des services sociaux, and Direction des communications (2012) La santé et ses déterminants mieux comprendre pour mieux agir. Ministère de la santé et des services sociaux, Direction des communications, Québec.  
https://publications.msss.gouv.qc.ca/msss/fichiers/2011/11-202-06.pdf</mixed-citation></ref><ref id="scirp.128871-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Ahmed, M.S., Islam, M.I., Das, M.C., Khan, A. and Yunus, F.M. (2021) Mapping and Situation Analysis of Basic WASH Facilities at Households in Bangladesh: Evidence from a Nationally Representative Survey. PLOS ONE, 16, e0259635.  
https://doi.org/10.1371/journal.pone.0259635</mixed-citation></ref></ref-list></back></article>