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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Int J Public Health</journal-id>
<journal-title>International Journal of Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Int J Public Health</abbrev-journal-title>
<issn pub-type="epub">1661-8564</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1605925</article-id>
<article-id pub-id-type="doi">10.3389/ijph.2023.1605925</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health Archive</subject>
<subj-group>
<subject>Original Article</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Healthy Bus Drivers, Sustainable Public Transport: A Three-Time Repeated Cross-Sectional Study in Switzerland</article-title>
<alt-title alt-title-type="left-running-head">Remy and Guseva Canu</alt-title>
<alt-title alt-title-type="right-running-head">Bus Drivers&#x2019; Health</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Remy</surname>
<given-names>Viviane Fiona Mathilde</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2222665/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Guseva Canu</surname>
<given-names>Irina</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff>
<institution>Center for Primary Care and Public Health (Unisant&#xe9;)</institution>, <institution>University of Lausanne</institution>, <addr-line>Epalinges-Lausanne</addr-line>, <country>Switzerland</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/707398/overview">Saverio Stranges</ext-link>, Western University, Canada</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1041617/overview">Francesco Gianfagna</ext-link>, University of Insubria, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1862943/overview">Franca Barbic</ext-link>, Humanitas University, Italy</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Viviane Fiona Mathilde Remy, <email>viviane.remy@unisante.ch</email>; Irina Guseva Canu, <email>irina.guseva-canu@unisante.ch</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>68</volume>
<elocation-id>1605925</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>02</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>06</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Remy and Guseva Canu.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Remy and Guseva Canu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Objectives:</bold> To study the change in the prevalence of bus drivers&#x2019; health outcomes between 2010 and 2022 and their relationship with working conditions.</p>
<p>
<bold>Method:</bold> Unionized bus drivers completed a self-administered questionnaire in 2010, 2018, and 2022 on 13 health outcomes, sick leaves, and accidents and working conditions and their change during SARS-CoV-2 crisis. For outcomes which prevalence increased since 2010, we performed logistic regression models adjusted for covariates.</p>
<p>
<bold>Results:</bold> The study sample included 772 participants in 2010, 393 in 2018, and 916 in 2022. The most prevalent health problem (&#x2265;50%) was shoulder or neck muscle pain. The most tedious working conditions were working days over 10&#xa0;h. Shoulder or neck pain, sleep disorders, sick leaves, and accidents increased since 2010 and were associated with working conditions, and co-morbidity. The SARS-CoV-2 pandemic had additional negative consequences.</p>
<p>
<bold>Conclusion:</bold> Most bus drivers&#x2019; working and health conditions worsened in the last 12&#xa0;years. Given the study design, the results deserve a cautious interpretation and generalization. Cohort studies should confirm these results and inform interventions targeting the most tedious and harmful working conditions.</p>
</abstract>
<kwd-group>
<kwd>mental disorders</kwd>
<kwd>working conditions</kwd>
<kwd>musculoskeletal disorders</kwd>
<kwd>SARS-CoV-2 pandemic</kwd>
<kwd>driving accidents</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Today, the sustainability of a public transport company is mainly referred to as its financial sustainability. This neglects one important factor: the workers. Note, bus drivers (BDs) are considered as one of the most diseased occupational groups worldwide [<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>]. This is a problem for public transport sustainability as in the past decade the workforce shortage became a salient concern in many countries [<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>]. This situation forces companies to reduce their offer or even cease their activity [<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B10">10</xref>]. The reasons for the bus driver shortage are well-known: a relatively low salary and demanding working conditions [<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>]. Although the latter can vary from country to country and from one company to another, they have been depicted as tedious for many years [<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>]. Indeed, bus drivers are exposed to numerous occupational and environmental hazards at their workplace. This includes the organizational hazards such as long and irregular working hours, work during the weekends, night work, and split shifts [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>] and physical demands with repetitive movements, awkward seating for a long period, and assisting passengers with disabilities [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>]. The stressful working environment depending on driving but also weather conditions is another category [<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>], closely related to the safety concerns such as accidents and altercations with other road users and passengers [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>]. Moreover, several physical, chemical, and biological hazards are present in the BDs&#x2019; work environment leading to exposure to noise [<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>], vibration [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>], air pollution [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>], fungi and, since 2020, SARS-CoV-2 [<xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>].</p>
<p>These occupational exposures could promote a variety of diseases, including lung cancer [<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>] and other respiratory diseases [<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B29">29</xref>], cardiovascular diseases [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>], gastrointestinal diseases [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>], hearing loss [<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>], musculoskeletal disorders [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>], mental health issues [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>], sleep disorders and fatigue [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B29">29</xref>]. <xref ref-type="fig" rid="F1">Figure 1</xref> summarizes the BDs&#x2019; exposures and potentially associated health problems.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Mind map of the bus drivers&#x2019; exposure and potentially related health problems, based on the litterature review (Strat&#xe9;gie Energ&#xe9;tique et Sant&#xe9;, Switzerland, 2022).</p>
</caption>
<graphic xlink:href="ijph-68-1605925-g001.tif"/>
</fig>
<p>In Switzerland, compared to the general population, BDs have been identified as at higher risk of mortality from lung cancer [<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>], gastrointestinal cancer [<xref ref-type="bibr" rid="B28">28</xref>], and suicide [<xref ref-type="bibr" rid="B36">36</xref>]. No data on occupational exposures were available to investigate the potential causes of this excess mortality. However, it was possible to disentangle occupational risk factors from socio-economic and environmental factors and to confirm the role of occupational risk factors independently from the others in lung cancer mortality [<xref ref-type="bibr" rid="B37">37</xref>] and suicide [<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>]. Regarding the suicide risk factors, a high prevalence of mental and behavioral disorders, substance-related and addictive disorders, and mood disorders were reported among Swiss transport workers [<xref ref-type="bibr" rid="B39">39</xref>].</p>
<p>Yet, little is known about the exposure and health status of Swiss BDs specifically. The only information comes from surveys conducted by a trade union active in the transport field [<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>], but this information remains unpublished and consequently, cannot reach the scientific community and stakeholders. This study aims to fulfill this gap and make use of available and newly collected scientific data to describe the work and health conditions of Swiss BDs with a focus on the most prevalent health problems.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec id="s2-1">
<title>Study Design</title>
<p>This repeated cross-sectional study was based on data collected at three-time points: 2010, 2018, and 2022. The 2010 survey was initiated by one of the three unions representing BDs in Switzerland and was particularly active concerning their health and working conditions [<xref ref-type="bibr" rid="B40">40</xref>]. The questionnaire developed for this survey was based on their bus driving experience and addressed the topics such as ergonomics, and difficulties at work but also its positive aspects. In 2018, the union conducted a second survey, using the same self-administered questionnaire to compare the reported proportions of exposed and diseased BDs with those found in the first survey [<xref ref-type="bibr" rid="B41">41</xref>]. In 2022, the present study was authorized by the Swiss ethics committee, enabling us to make use of the previously collected data and to conduct a new survey in collaboration with all Swiss unions active in public road transport. All surveys were anonymous and used a proper distribution channel. Consequently, we expect no or a very little overlap between the three study samples and consider the study samples as independent. This allows analyzing the change in the prevalence of health outcomes and exposures between different time points (i.e., 2022 <italic>versus</italic> 2010; 2022 <italic>versus</italic> 2018; 2018 <italic>versus</italic> 2010).</p>
</sec>
<sec id="s2-2">
<title>Participants and Recruitment Method</title>
<p>In 2010 and 2018, the source population included BDs affiliated with union 1. This union covers only a part of Switzerland and a third of the unionized Swiss BDs. In 2022, the source population was extended to the BDs affiliated with any of the three unions, covering the entire Swiss territory. The inclusion criteria were similar in all the surveys; the study sample included active BDs aged between 18 and 67&#xa0;years old. The upper age limit corresponds to 2&#xa0;years after the retirement age, as some Swiss BDs continue to work after retirement.</p>
<p>The 2010 and 2018 surveys were distributed and collected on paper by union 1 representatives in each bus company with affiliated BDs. The surveys took place between the spring and fall of the corresponding year. The 2022 survey was a multilingual online questionnaire created in RedCap [<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>] and distributed by email to 4,324 potentially eligible participants by their unions. This survey took place between 22 February and 6 April, 2022. Before the survey, the unions organized a joint survey promotion campaign [<xref ref-type="bibr" rid="B44">44</xref>]. Moreover, the information regarding the survey with a link and a QR code to the survey was published in the monthly newsletter of the three unions and distributed to all union members.</p>
<p>The participants were not paid and did not receive any kind of compensation. The survey responses were anonymous. The study protocol was submitted to the competent ethics committee, which waived the need for informed written consent (CER-VD decision number 2021-01089).</p>
</sec>
<sec id="s2-3">
<title>Data Collected</title>
<p>We used a multilingual questionnaire encompassing four parts (<xref ref-type="sec" rid="s9">Supplementary File S1</xref>).</p>
<sec id="s2-3-1">
<title>Demographic and Socio-Professional Characteristics</title>
<p>This part included questions on sex, age, education attainment, apprenticeship, and county of residence. The company, seniority within the company, working rates, and employment as BD in other companies were also addressed.</p>
</sec>
<sec id="s2-3-2">
<title>Health Problems and Driving Accidents</title>
<p>BDs were asked to check off all health problems experienced at least once a month. The 13 proposed health problems were abnormal fatigue, shoulder or neck muscle pain, upper limb muscle pain, lower limb muscle pain, back pain, headaches, stomach pain, stress, anxiety, irritability, sleep disorders, appetite, or digestion problems, and hypersudation. Drivers were also asked to answer with yes or no to the following questions: &#x201c;Have you had to miss work for health reasons in the past year?&#x201d; coded as sick leave, &#x201c;Have you had a work-related accident with time off work in 2021?&#x201d; coded as an accident, and &#x201c;Do you always drive while in full control?&#x201d; coded as driving in unfit conditions. If the answer was &#x201c;no&#x201d; to the last question, we asked to indicate the reasons.</p>
</sec>
<sec id="s2-3-3">
<title>Working Conditions</title>
<p>BDs were asked to grade twelve working conditions on a scale from 1-not tedious to 4-very tedious. The work conditions proposed were night work (from 10&#xa0;p.m.), evening work (from 6&#xa0;p.m.), Sunday work, difficult traffic conditions, driving time over 4&#xa0;hours, a working day over 10&#xa0;h, delayed traffic, aggressive customers, aggressiveness of other road users, traffic disruptions (accidents/deliverymen parking), cyclists&#x2019; unfair behavior, and long periods without access to toilets.</p>
</sec>
<sec id="s2-3-4">
<title>SARS-CoV-2</title>
<p>The fourth part concerned SARS-CoV-2 management and its consequences on health and working conditions. These data are described in details elsewhere [<xref ref-type="bibr" rid="B45">45</xref>].</p>
</sec>
</sec>
<sec id="s2-4">
<title>Data Management and Statistical Analysis</title>
<p>The database with completed questionnaires was downloaded from RedCAP software and examined for completeness and outliers.</p>
<p>Descriptive statistics, mean and standard deviation [M &#xb1; SD], and percentage [<italic>n</italic>, %] were computed to describe the socio-professional and demographic characteristics, health problems, and work tediousness in the study sample at each of the three-time points. Furthermore, a comparison between the sample and target population was made based on the demographic informations from Federal Statistical Office.</p>
<p>To assess the change in health problem prevalence across three surveys conducted during the last 12&#xa0;years, we performed multivariate logistic regression analyses adjusted for sex, age, seniority, and residence regions using the samples from the three time points. This analysis was restricted to BDs affiliated with union 1. For the health problems, which prevalence has significantly increased in 2022, we performed analyses to assess the relationship with BDs&#x2019; socio-professional and demographic characteristics, comorbidity, work tediousness, and SARS-CoV-2 crisis management and impacts. This analysis was conducted using the 2022 survey data and included all responding BDs regardless of their union. Furthermore, for each outcome, we constructed multivariate logistic regression models based on the direct acyclic graph (DAG) [<xref ref-type="bibr" rid="B46">46</xref>] (<xref ref-type="sec" rid="s9">Supplementary File S2</xref>).</p>
<p>Odd ratios were reported with a 95% confidence interval. The significance level was set at 0.05 and the <italic>p</italic>-values were two-tailed. Data cleaning and descriptive analysis were performed with R version 1.3.1093 [<xref ref-type="bibr" rid="B47">47</xref>]. Logistic regression analyses were conducted using Stata, version 17 [<xref ref-type="bibr" rid="B48">48</xref>].</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Comparison Between the Sample and the Target Population</title>
<p>The comparison of our sample to the target population showed similar distribution per age group and sex (<italic>p</italic>-value &#x3e;0.05, chi-square test), though an over-representation of Western Switzerland and Ticino was observed (68.6% in our sample <italic>versus</italic> 48% Swiss BDs in Western Switzerland and Ticino in the target population). Conversely, the German-speaking regions were under-represented (23% in our sample <italic>versus</italic> 52% of Swiss BDs).</p>
</sec>
<sec id="s3-2">
<title>Health Problems, Accidents, and Tedious Working Conditions in 2022 Survey</title>
<p>The response rate of the 2022 questionnaire was 21.2% (916 participants). The socio-demographic characteristics of the complete 2022 sample are presented in <xref ref-type="table" rid="T1">Table 1</xref>. The distribution of study participants by unions is represented in <xref ref-type="sec" rid="s9">Supplementary File S3</xref>. The prevalence of health problems, accidents, and the scores of work tediousness are summarized in <xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>. The three most prevalent health problems were shoulder or neck muscle pain (57.4%), abnormal fatigue (51.1%), and back pain (49.7%). Furthermore, the prevalence of sick leave in 2021 was 53.2%. Almost a third of drivers (31.4%) drove in an unfit condition in 2021, the three main cited reasons being fatigue, muscular pains, and pressure from the companies or colleagues. The three most tedious working conditions were working days over 10&#xa0;h (3.4, SD &#x3d; 0.8), cyclists&#x2019; behavior (3.3, SD &#x3d; 0.8), and long periods without access to toilets (3.2, SD &#x3d; 0.9). The three most valued working advantages were the security of the job (62.4%), solidarity between colleagues (54.7%), and freedom (42.3%).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Socio-professional and demographic characteristics per union of all samples (2010 sample, 2018 sample, and 2022 sample) (Strat&#xe9;gie Energ&#xe9;tique et Sant&#xe9;, Switzerland, 2022).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="3" align="left"/>
<th colspan="2" align="center">2010</th>
<th colspan="2" align="center">2018</th>
<th colspan="10" align="center">2022</th>
</tr>
<tr>
<th colspan="2" align="center">Union 1</th>
<th colspan="2" align="center">Union 1</th>
<th colspan="2" align="center">Union 1</th>
<th colspan="2" align="center">Union 2</th>
<th colspan="2" align="center">Union 3</th>
<th colspan="2" align="center">None</th>
<th colspan="2" align="center">Total</th>
</tr>
<tr>
<th align="center">
<italic>N</italic>
</th>
<th align="center">%</th>
<th align="center">
<italic>N</italic>
</th>
<th align="center">%</th>
<th align="center">
<italic>N</italic>
</th>
<th align="center">%</th>
<th align="center">
<italic>N</italic>
</th>
<th align="center">%</th>
<th align="center">
<italic>N</italic>
</th>
<th align="center">%</th>
<th align="center">
<italic>N</italic>
</th>
<th align="center">%</th>
<th align="center">
<italic>N</italic>
</th>
<th align="center">%</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Total</td>
<td align="center">772</td>
<td align="center">100</td>
<td align="center">393</td>
<td align="center">100</td>
<td align="center">511</td>
<td align="center">100</td>
<td align="center">187</td>
<td align="center">100</td>
<td align="center">151</td>
<td align="center">100</td>
<td align="center">67</td>
<td align="center">100</td>
<td align="center">916</td>
<td align="center">100</td>
</tr>
<tr>
<td colspan="15" align="left">Gender</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="center">715</td>
<td align="center">92.6</td>
<td align="center">343</td>
<td align="center">87.3</td>
<td align="center">439</td>
<td align="center">85.9</td>
<td align="center">168</td>
<td align="center">89.8</td>
<td align="center">113</td>
<td align="center">74.8</td>
<td align="center">52</td>
<td align="center">77.6</td>
<td align="center">772</td>
<td align="center">84.3</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="center">36</td>
<td align="center">4.7</td>
<td align="center">32</td>
<td align="center">8.1</td>
<td align="center">70</td>
<td align="center">13.7</td>
<td align="center">17</td>
<td align="center">9.1</td>
<td align="center">36</td>
<td align="center">23.8</td>
<td align="center">6</td>
<td align="center">9.0</td>
<td align="center">129</td>
<td align="center">14.1</td>
</tr>
<tr>
<td align="left">&#x2003;Missing</td>
<td align="center">21</td>
<td align="center">2.7</td>
<td align="center">18</td>
<td align="center">4.6</td>
<td align="center">2</td>
<td align="center">0.4</td>
<td align="center">2</td>
<td align="center">1.1</td>
<td align="center">2</td>
<td align="center">1.3</td>
<td align="center">9</td>
<td align="center">13.4</td>
<td align="center">15</td>
<td align="center">1.6</td>
</tr>
<tr>
<td colspan="15" align="left">Age group</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3c;35 ans</td>
<td align="center">104</td>
<td align="center">13.5</td>
<td align="center">60</td>
<td align="center">15.3</td>
<td align="center">75</td>
<td align="center">14.7</td>
<td align="center">23</td>
<td align="center">12.3</td>
<td align="center">20</td>
<td align="center">13.2</td>
<td align="center">7</td>
<td align="center">10.4</td>
<td align="center">125</td>
<td align="center">13.6</td>
</tr>
<tr>
<td align="left">&#x2003;36-45 ans</td>
<td align="center">220</td>
<td align="center">28.5</td>
<td align="center">97</td>
<td align="center">24.7</td>
<td align="center">121</td>
<td align="center">23.7</td>
<td align="center">31</td>
<td align="center">16.6</td>
<td align="center">36</td>
<td align="center">23.8</td>
<td align="center">11</td>
<td align="center">16.4</td>
<td align="center">199</td>
<td align="center">21.7</td>
</tr>
<tr>
<td align="left">&#x2003;46-55 ans</td>
<td align="center">296</td>
<td align="center">38.3</td>
<td align="center">134</td>
<td align="center">34.1</td>
<td align="center">178</td>
<td align="center">34.8</td>
<td align="center">57</td>
<td align="center">30.5</td>
<td align="center">51</td>
<td align="center">33.8</td>
<td align="center">21</td>
<td align="center">31.3</td>
<td align="center">307</td>
<td align="center">33.5</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3e;56 ans</td>
<td align="center">118</td>
<td align="center">15.3</td>
<td align="center">89</td>
<td align="center">22.6</td>
<td align="center">127</td>
<td align="center">24.9</td>
<td align="center">69</td>
<td align="center">36.9</td>
<td align="center">41</td>
<td align="center">27.2</td>
<td align="center">16</td>
<td align="center">23.9</td>
<td align="center">253</td>
<td align="center">27.6</td>
</tr>
<tr>
<td align="left">&#x2003;Missing</td>
<td align="center">21</td>
<td align="center">2.7</td>
<td align="center">13</td>
<td align="center">3.3</td>
<td align="center">10</td>
<td align="center">2.0</td>
<td align="center">7</td>
<td align="center">3.7</td>
<td align="center">3</td>
<td align="center">2.0</td>
<td align="center">12</td>
<td align="center">17.9</td>
<td align="center">32</td>
<td align="center">3.5</td>
</tr>
<tr>
<td colspan="15" align="left">Region</td>
</tr>
<tr>
<td align="left">&#x2003;Espace Mitteland</td>
<td align="center">282</td>
<td align="center">36.5</td>
<td align="center">101</td>
<td align="center">25.7</td>
<td align="center">169</td>
<td align="center">33.1</td>
<td align="center">68</td>
<td align="center">36.4</td>
<td align="center">33</td>
<td align="center">21.9</td>
<td align="center">28</td>
<td align="center">41.8</td>
<td align="center">298</td>
<td align="center">32.5</td>
</tr>
<tr>
<td align="left">&#x2003;Northwestern Switzerland</td>
<td align="center">50</td>
<td align="center">6.5</td>
<td align="center">3</td>
<td align="center">0.8</td>
<td align="center">30</td>
<td align="center">5.9</td>
<td align="center">9</td>
<td align="center">4.8</td>
<td align="center">24</td>
<td align="center">15.9</td>
<td align="center">0</td>
<td align="center">0.0</td>
<td align="center">63</td>
<td align="center">6.9</td>
</tr>
<tr>
<td align="left">&#x2003;Eastern Switzerland</td>
<td align="center">48</td>
<td align="center">6.2</td>
<td align="center">4</td>
<td align="center">1.0</td>
<td align="center">19</td>
<td align="center">3.7</td>
<td align="center">12</td>
<td align="center">6.4</td>
<td align="center">28</td>
<td align="center">18.5</td>
<td align="center">1</td>
<td align="center">1.5</td>
<td align="center">60</td>
<td align="center">6.6</td>
</tr>
<tr>
<td align="left">&#x2003;Lake Geneva Region</td>
<td align="center">215</td>
<td align="center">27.8</td>
<td align="center">164</td>
<td align="center">41.7</td>
<td align="center">188</td>
<td align="center">36.8</td>
<td align="center">33</td>
<td align="center">17.6</td>
<td align="center">0</td>
<td align="center">0.0</td>
<td align="center">7</td>
<td align="center">10.4</td>
<td align="center">228</td>
<td align="center">24.9</td>
</tr>
<tr>
<td align="left">&#x2003;Ticino</td>
<td align="center">58</td>
<td align="center">7.5</td>
<td align="center">51</td>
<td align="center">13.0</td>
<td align="center">56</td>
<td align="center">11.0</td>
<td align="center">41</td>
<td align="center">21.9</td>
<td align="center">0</td>
<td align="center">0.0</td>
<td align="center">7</td>
<td align="center">10.4</td>
<td align="center">104</td>
<td align="center">11.4</td>
</tr>
<tr>
<td align="left">&#x2003;Central Switzerland</td>
<td align="center">99</td>
<td align="center">12.8</td>
<td align="center">7</td>
<td align="center">1.8</td>
<td align="center">30</td>
<td align="center">5.9</td>
<td align="center">5</td>
<td align="center">2.7</td>
<td align="center">50</td>
<td align="center">33.1</td>
<td align="center">0</td>
<td align="center">0.0</td>
<td align="center">85</td>
<td align="center">9.3</td>
</tr>
<tr>
<td align="left">&#x2003;Zurich</td>
<td align="center">0</td>
<td align="center">0.0</td>
<td align="center">0</td>
<td align="center">0.0</td>
<td align="center">19</td>
<td align="center">3.7</td>
<td align="center">19</td>
<td align="center">10.2</td>
<td align="center">16</td>
<td align="center">10.6</td>
<td align="center">6</td>
<td align="center">9.0</td>
<td align="center">60</td>
<td align="center">6.6</td>
</tr>
<tr>
<td align="left">&#x2003;Missing</td>
<td align="center">20</td>
<td align="center">2.6</td>
<td align="center">63</td>
<td align="center">16.0</td>
<td align="center">0</td>
<td align="center">0.0</td>
<td align="center">0</td>
<td align="center">0.0</td>
<td align="center">0</td>
<td align="center">0.0</td>
<td align="center">18</td>
<td align="center">26.9</td>
<td align="center">18</td>
<td align="center">2.0</td>
</tr>
<tr>
<td colspan="15" align="left">Education level</td>
</tr>
<tr>
<td align="left">&#x2003;Mandatory</td>
<td align="center">326</td>
<td align="center">42.2</td>
<td align="center">141</td>
<td align="center">35.9</td>
<td align="center">194</td>
<td align="center">38.0</td>
<td align="center">81</td>
<td align="center">43.3</td>
<td align="center">74</td>
<td align="center">49.0</td>
<td align="center">24</td>
<td align="center">35.8</td>
<td align="center">373</td>
<td align="center">40.7</td>
</tr>
<tr>
<td align="left">&#x2003;Secondary</td>
<td align="center">283</td>
<td align="center">36.7</td>
<td align="center">135</td>
<td align="center">34.4</td>
<td align="center">192</td>
<td align="center">37.6</td>
<td align="center">48</td>
<td align="center">25.7</td>
<td align="center">55</td>
<td align="center">36.4</td>
<td align="center">19</td>
<td align="center">28.4</td>
<td align="center">314</td>
<td align="center">34.3</td>
</tr>
<tr>
<td align="left">&#x2003;University</td>
<td align="center">153</td>
<td align="center">19.8</td>
<td align="center">84</td>
<td align="center">21.4</td>
<td align="center">121</td>
<td align="center">23.7</td>
<td align="center">56</td>
<td align="center">29.9</td>
<td align="center">20</td>
<td align="center">13.2</td>
<td align="center">12</td>
<td align="center">17.9</td>
<td align="center">209</td>
<td align="center">22.8</td>
</tr>
<tr>
<td align="left">&#x2003;Missing</td>
<td align="center">10</td>
<td align="center">1.3</td>
<td align="center">37</td>
<td align="center">9.4</td>
<td align="center">4</td>
<td align="center">0.8</td>
<td align="center">2</td>
<td align="center">1.1</td>
<td align="center">2</td>
<td align="center">1.3</td>
<td align="center">12</td>
<td align="center">17.9</td>
<td align="center">20</td>
<td align="center">2.2</td>
</tr>
<tr>
<td colspan="15" align="left">Apprenticeship</td>
</tr>
<tr>
<td align="left">&#x2003;Yes</td>
<td align="center">577</td>
<td align="center">74.7</td>
<td align="center">249</td>
<td align="center">63.4</td>
<td align="center">374</td>
<td align="center">73.2</td>
<td align="center">128</td>
<td align="center">68.4</td>
<td align="center">138</td>
<td align="center">91.4</td>
<td align="center">31</td>
<td align="center">46.3</td>
<td align="center">671</td>
<td align="center">73.3</td>
</tr>
<tr>
<td align="left">&#x2003;No</td>
<td align="center">159</td>
<td align="center">20.6</td>
<td align="center">82</td>
<td align="center">20.9</td>
<td align="center">122</td>
<td align="center">23.9</td>
<td align="center">52</td>
<td align="center">27.8</td>
<td align="center">12</td>
<td align="center">7.9</td>
<td align="center">19</td>
<td align="center">28.4</td>
<td align="center">205</td>
<td align="center">22.4</td>
</tr>
<tr>
<td align="left">&#x2003;Missing</td>
<td align="center">36</td>
<td align="center">4.7</td>
<td align="center">62</td>
<td align="center">15.8</td>
<td align="center">15</td>
<td align="center">2.9</td>
<td align="center">7</td>
<td align="center">3.7</td>
<td align="center">1</td>
<td align="center">0.7</td>
<td align="center">17</td>
<td align="center">25.4</td>
<td align="center">40</td>
<td align="center">4.4</td>
</tr>
<tr>
<td colspan="15" align="left">Work rate<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Part-time</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">61</td>
<td align="center">11.9</td>
<td align="center">36</td>
<td align="center">19.3</td>
<td align="center">33</td>
<td align="center">21.9</td>
<td align="center">5</td>
<td align="center">7.5</td>
<td align="center">135</td>
<td align="center">14.7</td>
</tr>
<tr>
<td align="left">&#x2003;Full time</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">445</td>
<td align="center">87.1</td>
<td align="center">147</td>
<td align="center">78.6</td>
<td align="center">118</td>
<td align="center">78.1</td>
<td align="center">49</td>
<td align="center">73.1</td>
<td align="center">759</td>
<td align="center">82.9</td>
</tr>
<tr>
<td align="left">&#x2003;Missing</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">5</td>
<td align="center">1.0</td>
<td align="center">4</td>
<td align="center">2.1</td>
<td align="center">0</td>
<td align="center">0.0</td>
<td align="center">13</td>
<td align="center">19.4</td>
<td align="center">22</td>
<td align="center">2.4</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>Question added in the 2022 questionnaire.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>
<bold>(A)</bold> Appraisal of positive aspects in work conditions <bold>(B)</bold> Appraisal of tediousness in work conditions among Swiss unionized bus drivers (2022 survey) (Strat&#xe9;gie Energ&#xe9;tique et Sant&#xe9;, Switzerland, 2022).</p>
</caption>
<graphic xlink:href="ijph-68-1605925-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>The prevalence of health problems and driving accidents for the three-time points among unionized bus drivers (Strat&#xe9;gie Energ&#xe9;tique et Sant&#xe9;, Switzerland, 2022).</p>
</caption>
<graphic xlink:href="ijph-68-1605925-g003.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>Variations in Health Problems, Accidents, and Working Conditions</title>
<p>
<xref ref-type="table" rid="T1">Table 1</xref>; <xref ref-type="fig" rid="F3">Figure 3</xref> present the sample characteristics and prevalence of health problems, and driving accidents in 2010, 2018, and 2022 among BDs affiliated with union 1. The proportion of female bus drivers significantly increased from 4.7% in 2010 to 13.7% in 2022 (OR &#x3d; 3.77 (2.36, 6.04), <italic>p-</italic>value &#x3e; 0.001). The average age was 46.4 (&#xb1;9.0) years in 2010, 45.7 (&#xb1;13.0) in 2010, and 47.4 (&#xb1;10.1) in 2022. Shoulder or neck muscle pain was the most prevalent health issue for the three-time points (51.0% in 2010, 51.4% in 2018, and 59.4% in 2022). <xref ref-type="table" rid="T2">Table 2</xref> summarizes the changes in health problems and accidents between 2010 and 2022. Headaches, anxiety, and hypersudation decreased during the last decade. However, shoulder or neck muscle pain, sleep disorders, sick leaves, and driving accidents (5.3%&#x2013;13.4%) increased between 2010 and 2022. The tediousness score of ten out of the twelve analyzed working conditions increased between 2010 and 2022 (<xref ref-type="table" rid="T3">Table 3</xref>). It corresponds to working days over 10&#xa0;h, cyclists&#x2019; behavior, long periods without access to toilets, driving time over 4&#xa0;h, the aggressiveness of other road users, difficult traffic conditions, aggressive customers, delayed schedule, traffic disruption, and night work.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Changes in health problems and accidents over 12&#xa0;years (2010, 2018, and 2022 surveys) in bus drivers affiliated with union 1 (Strat&#xe9;gie Energ&#xe9;tique et Sant&#xe9;, Switzerland, 2022).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left"/>
<th colspan="3" align="center">2010&#x2013;2018</th>
<th colspan="3" align="center">2010&#x2013;2022</th>
<th colspan="3" align="center">2018&#x2013;2022</th>
<th rowspan="2" align="center">Selection for modeling<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</th>
</tr>
<tr>
<th align="left">OR</th>
<th align="left">95% CI</th>
<th align="left">
<italic>p</italic>-value</th>
<th align="left">OR</th>
<th align="left">95% CI</th>
<th align="left">
<italic>p</italic>-value</th>
<th align="left">OR</th>
<th align="left">95% CI</th>
<th align="left">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="11" align="left">Health problems</td>
</tr>
<tr>
<td align="left">&#x2003;Abnormal fatigue</td>
<td align="center">0.79</td>
<td align="center">0.59, 1.04</td>
<td align="center">0.092</td>
<td align="center">0.99</td>
<td align="center">0.77, 1.27</td>
<td align="center">0.940</td>
<td align="center">1.26</td>
<td align="center">0.94, 1.69</td>
<td align="center">0.123</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Shoulder or neck muscle pain</td>
<td align="center">0.83</td>
<td align="center">0.62, 1.10</td>
<td align="center">0.187</td>
<td align="center">1.14</td>
<td align="center">0.89, 1.47</td>
<td align="center">0.300</td>
<td align="center">1.38</td>
<td align="center">1.03, 1.87</td>
<td align="center">0.034</td>
<td align="center">X</td>
</tr>
<tr>
<td align="left">&#x2003;Upper limp muscle pain</td>
<td align="center">0.72</td>
<td align="center">0.50, 1.02</td>
<td align="center">0.067</td>
<td align="center">0.84</td>
<td align="center">0.61, 1.14</td>
<td align="center">0.256</td>
<td align="center">1.16</td>
<td align="center">0.80, 1.69</td>
<td align="center">0.426</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Lower limp muscle pain</td>
<td align="center">0.75</td>
<td align="center">0.52, 1.07</td>
<td align="center">0.110</td>
<td align="center">0.98</td>
<td align="center">0.72, 1.33</td>
<td align="center">0.890</td>
<td align="center">1.31</td>
<td align="center">0.91, 1.89</td>
<td align="center">0.153</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Back pain</td>
<td align="center">0.84</td>
<td align="center">0.63, 1.11</td>
<td align="center">0.220</td>
<td align="center">0.97</td>
<td align="center">0.75, 1.24</td>
<td align="center">0.802</td>
<td align="center">1.15</td>
<td align="center">0.86, 1.55</td>
<td align="center">0.340</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Headache</td>
<td align="center">0.58</td>
<td align="center">0.42, 0.79</td>
<td align="center">0.001</td>
<td align="center">0.67</td>
<td align="center">0.51, 0.88</td>
<td align="center">0.004</td>
<td align="center">1.15</td>
<td align="center">0.82, 1.61</td>
<td align="center">0.404</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Stomach pain</td>
<td align="center">0.87</td>
<td align="center">0.60, 1.27</td>
<td align="center">0.475</td>
<td align="center">0.84</td>
<td align="center">0.60, 1.17</td>
<td align="center">0.303</td>
<td align="center">0.96</td>
<td align="center">0.64, 1.43</td>
<td align="center">0.846</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Stress</td>
<td align="center">0.83</td>
<td align="center">0.62, 1.10</td>
<td align="center">0.187</td>
<td align="center">0.86</td>
<td align="center">0.67, 1.11</td>
<td align="center">0.258</td>
<td align="center">1.05</td>
<td align="center">0.78, 1.41</td>
<td align="center">0.772</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Anxiety</td>
<td align="center">0.66</td>
<td align="center">0.46, 0.96</td>
<td align="center">0.031</td>
<td align="center">0.80</td>
<td align="center">0.58, 1.12</td>
<td align="center">0.195</td>
<td align="center">1.21</td>
<td align="center">0.82, 1.80</td>
<td align="center">0.342</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Irritability</td>
<td align="center">0.90</td>
<td align="center">0.67, 1.20</td>
<td align="center">0.465</td>
<td align="center">1.00</td>
<td align="center">0.77, 1.30</td>
<td align="center">0.985</td>
<td align="center">1.12</td>
<td align="center">0.82, 1.52</td>
<td align="center">0.476</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Sleep problems</td>
<td align="center">1.38</td>
<td align="center">1.04, 1.84</td>
<td align="center">0.026</td>
<td align="center">1.39</td>
<td align="center">1.08, 1.79</td>
<td align="center">0.012</td>
<td align="center">1.00</td>
<td align="center">0.75, 1.35</td>
<td align="center">0.983</td>
<td align="center">X</td>
</tr>
<tr>
<td align="left">&#x2003;Appetite or digestion problems</td>
<td align="center">0.89</td>
<td align="center">0.64, 1.24</td>
<td align="center">0.500</td>
<td align="center">1.06</td>
<td align="center">0.80, 1.42</td>
<td align="center">0.674</td>
<td align="center">1.19</td>
<td align="center">0.84, 1.68</td>
<td align="center">0.319</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Hypersudation</td>
<td align="center">0.50</td>
<td align="center">0.30, 0.84</td>
<td align="center">0.008</td>
<td align="center">0.44</td>
<td align="center">0.28, 0.71</td>
<td align="center">0.001</td>
<td align="center">0.88</td>
<td align="center">0.49, 1.59</td>
<td align="center">0.677</td>
<td align="left"/>
</tr>
<tr>
<td colspan="11" align="left">Accident, sick leave, fitness to drive</td>
</tr>
<tr>
<td align="left">&#x2003;Accident</td>
<td align="center">2.67</td>
<td align="center">1.61, 4.45</td>
<td align="center">&#x3c;0.001</td>
<td align="center">2.36</td>
<td align="center">1.47, 3.78</td>
<td align="center">&#x3c;0.001</td>
<td align="center">0.88</td>
<td align="center">0.56, 1.40</td>
<td align="center">0.594</td>
<td align="center">X</td>
</tr>
<tr>
<td align="left">&#x2003;Sick leave</td>
<td align="center">1.42</td>
<td align="center">1.06, 1.89</td>
<td align="center">0.018</td>
<td align="center">2.10</td>
<td align="center">1.62, 2.71</td>
<td align="center">&#x3c;0.001</td>
<td align="center">1.48</td>
<td align="center">1.10, 2.00</td>
<td align="center">0.010</td>
<td align="center">X</td>
</tr>
<tr>
<td align="left">&#x2003;Unfit to drive</td>
<td align="center">1.22</td>
<td align="center">0.90, 1.64</td>
<td align="center">0.202</td>
<td align="center">0.94</td>
<td align="center">0.72, 1.24</td>
<td align="center">0.670</td>
<td align="center">0.77</td>
<td align="center">0.56, 1.06</td>
<td align="center">0.114</td>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OR, odd ratio; CI, confidence interval.</p>
</fn>
<fn>
<p>This table shows the results of multivariate logistic regression models adjusted for sex, age, seniority, and working region for each outcome. The predictor of interest is the year, which is used as a factor variable. The 2010&#x2013;2018 and 2010&#x2013;2022 models use the 2010&#xa0;year as a reference and the 2018&#x2013;2022 model uses the 2018 years as a reference.</p>
</fn>
<fn id="Tfn2">
<label>
<sup>a</sup>
</label>
<p>Health problems and accidents having either increased over the past 12&#xa0;years or the past 4&#xa0;years.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Changes in working conditions between 2010 and 2022 (2010, 2018, and 2022 surveys) according to bus drivers affiliated with union 1 (Strat&#xe9;gie Energ&#xe9;tique et Sant&#xe9;, Switzerland, 2022).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left"/>
<th colspan="3" align="center">2010&#x2013;2018</th>
<th colspan="3" align="center">2010&#x2013;2022</th>
<th colspan="3" align="center">2018&#x2013;2022</th>
</tr>
<tr>
<th align="center">OR</th>
<th align="center">95% CI</th>
<th align="center">
<italic>p</italic>-value</th>
<th align="center">OR</th>
<th align="center">95% CI</th>
<th align="center">
<italic>p</italic>-value</th>
<th align="center">OR</th>
<th align="center">95% CI</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Working day &#x3e;10&#xa0;h</td>
<td align="center">1.33</td>
<td align="center">1.18, 1.49</td>
<td align="center">&#x3c;0.001</td>
<td align="center">1.20</td>
<td align="center">1.07, 1.33</td>
<td align="center">0.001</td>
<td align="center">1.10</td>
<td align="center">0.97, 1.24</td>
<td align="center">0.154</td>
</tr>
<tr>
<td align="left">Cyclist behavior</td>
<td align="center">1.15</td>
<td align="center">1.01, 1.32</td>
<td align="center">0.041</td>
<td align="center">0.98</td>
<td align="center">0.87, 1.11</td>
<td align="center">0.796</td>
<td align="center">1.17</td>
<td align="center">1.01, 1.35</td>
<td align="center">0.032</td>
</tr>
<tr>
<td align="left">Long period without access to toilets</td>
<td align="center">1.30</td>
<td align="center">1.14, 1.49</td>
<td align="center">&#x3c;0.001</td>
<td align="center">1.42</td>
<td align="center">1.26, 1.59</td>
<td align="center">&#x3c;0.001</td>
<td align="center">0.92</td>
<td align="center">0.8, 1.05</td>
<td align="center">0.221</td>
</tr>
<tr>
<td align="left">Driving time &#x3e;4&#xa0;h</td>
<td align="center">1.36</td>
<td align="center">1.19, 1.56</td>
<td align="center">&#x3c;0.001</td>
<td align="center">1.22</td>
<td align="center">1.08, 1.38</td>
<td align="center">0.001</td>
<td align="center">1.10</td>
<td align="center">0.95, 1.27</td>
<td align="center">0.198</td>
</tr>
<tr>
<td align="left">Aggressiveness of other road users</td>
<td align="center">1.34</td>
<td align="center">1.16, 1.54</td>
<td align="center">&#x3c;0.001</td>
<td align="center">1.19</td>
<td align="center">1.05, 1.35</td>
<td align="center">0.007</td>
<td align="center">1.12</td>
<td align="center">0.96, 1.29</td>
<td align="center">0.148</td>
</tr>
<tr>
<td align="left">Difficult traffic conditions</td>
<td align="center">1.57</td>
<td align="center">1.38, 1.8</td>
<td align="center">&#x3c;0.001</td>
<td align="center">1.39</td>
<td align="center">1.23, 1.56</td>
<td align="center">&#x3c;0.001</td>
<td align="center">1.12</td>
<td align="center">0.97, 1.29</td>
<td align="center">0.125</td>
</tr>
<tr>
<td align="left">Aggressive customers</td>
<td align="center">1.43</td>
<td align="center">1.24, 1.65</td>
<td align="center">&#x3c;0.001</td>
<td align="center">1.39</td>
<td align="center">1.22, 1.58</td>
<td align="center">&#x3c;0.001</td>
<td align="center">1.03</td>
<td align="center">0.88, 1.2</td>
<td align="center">0.740</td>
</tr>
<tr>
<td align="left">Delayed schedule</td>
<td align="center">1.72</td>
<td align="center">1.49, 1.99</td>
<td align="center">&#x3c;0.001</td>
<td align="center">1.58</td>
<td align="center">1.39, 1.8</td>
<td align="center">&#x3c;0.001</td>
<td align="center">1.08</td>
<td align="center">0.93, 1.26</td>
<td align="center">0.330</td>
</tr>
<tr>
<td align="left">Traffic disruption</td>
<td align="center">1.74</td>
<td align="center">1.52, 2.01</td>
<td align="center">&#x3c;0.001</td>
<td align="center">1.47</td>
<td align="center">1.3, 1.66</td>
<td align="center">&#x3c;0.001</td>
<td align="center">1.18</td>
<td align="center">1.02, 1.37</td>
<td align="center">0.028</td>
</tr>
<tr>
<td align="left">Night work</td>
<td align="center">1.17</td>
<td align="center">0.99, 1.38</td>
<td align="center">0.066</td>
<td align="center">1.18</td>
<td align="center">1.02, 1.37</td>
<td align="center">0.027</td>
<td align="center">0.99</td>
<td align="center">0.83, 1.18</td>
<td align="center">0.923</td>
</tr>
<tr>
<td align="left">Evening work</td>
<td align="center">1.16</td>
<td align="center">1, 1.34</td>
<td align="center">0.055</td>
<td align="center">1.11</td>
<td align="center">0.98, 1.27</td>
<td align="center">0.106</td>
<td align="center">1.04</td>
<td align="center">0.89, 1.22</td>
<td align="center">0.606</td>
</tr>
<tr>
<td align="left">Sunday work</td>
<td align="center">1.08</td>
<td align="center">0.93, 1.25</td>
<td align="center">0.321</td>
<td align="center">1.15</td>
<td align="center">1.01, 1.32</td>
<td align="center">0.036</td>
<td align="center">0.93</td>
<td align="center">0.79, 1.09</td>
<td align="center">0.361</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OR, odd ratio, calculated using the increase in 1 point in score of the variable. CI, confidence interval.</p>
</fn>
<fn>
<p>This table shows the results of multivariate regression models adjusted for sex, age, seniority, and working region for each outcome. The predictor of interest is the year, which is used as a factor. The 2010-2018 and 2010&#x2013;2022 models use the 2010 years as a reference and the 2018&#x2013;2022 model uses the 2018 years as a reference.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-4">
<title>Possible Explanatory Factors of Health Problems and Accidents</title>
<p>The tables summarizing the results of the univariate and multivariate regression models for the shoulder or neck muscle pain models, sleep disorders models, sick leave models, and accident models are presented in <xref ref-type="sec" rid="s9">Supplementary Tables S1&#x2013;S4</xref>, respectively.</p>
<sec id="s3-4-1">
<title>Geographical Region</title>
<p>Sleep disorders, sick leaves, and accidents were significantly associated with the geographic region of BDs&#x2019; residence. Sleep disorders increased in Zurich [OR &#x3d; 3.19 (1.31, 7.72)] compared to Espace Mitteland. In addition, sick leaves increased in Lake Geneva Region [OR &#x3d; 1.63 (1.01, 2.61)]. Accidents were less frequently reported in Lake Geneva Region [OR &#x3d; 0.33 (0.15, 0.74)] compared to Espace Mitteland.</p>
</sec>
<sec id="s3-4-2">
<title>Shoulder or Neck Muscle Pain</title>
<p>Shoulder or neck muscle pain increased with the presence of upper limb muscular pain [OR &#x3d; 5.58 (3.13, 9.95)], headaches [OR &#x3d; 1.89 (1.27, 2.81)], and with the driving period over 4&#xa0;h [OR &#x3d; 1.43 (1.12, 1.81)].</p>
</sec>
<sec id="s3-4-3">
<title>Sleep Disorders</title>
<p>Sleep disorders and sick leaves increased with the presence of anxiety [OR &#x3d; 1.87 (1.11, 3.16, and OR &#x3d; 1.65 (1.00, 2.73), respectively]. The prevalence of self-reported sleep disorders and driving accidents was associated with sick leaves [OR &#x3d; 1.64 (1.11, 2.40), and OR &#x3d; 2.16 (1.26, 3.72), respectively]. Sleep disorders were less prevalent among BDs affiliated with union 3 <italic>versus</italic> union 1 [OR &#x3d; 0.47 (0.26, 0.86)] but more prevalent among BDs with superior school level <italic>versus</italic> mandatory school level [OR &#x3d; 1.72 (1.02, 2.88)]. Their prevalence of sleep disorders increased in the presence of stomach pain [OR &#x3d; 2.02 (1.14, 3.58)], abnormal fatigue [OR &#x3d; 2.41 (1.63, 3.55)], and back pain [OR &#x3d; 1.49 (1.02, 2.17)].</p>
</sec>
<sec id="s3-4-4">
<title>Driving Accidents</title>
<p>Driving accidents were three-fold more frequent among BDs who made an apprenticeship of another occupation before becoming BD than BDs who did not [OR &#x3d; 3.00 (1.42, 6.36)]. BDs driving regional lines, or a mix of regional and urban lines reported fewer accidents [OR &#x3d; 0.37 (0.16, 0.88), and OR &#x3d; 0.53 (0.28, 0.99), respectively].</p>
</sec>
<sec id="s3-4-5">
<title>Sick Leaves</title>
<p>Sick leave prevalence increased with seniority [1.03 per additional year (1.00, 1.05)], the presence of sleep disorders [1.71 (1.17, 2.50)], and the accident reporting in the last 12&#xa0;months [OR &#x3d; 2.16 (1.01, 1.62)].</p>
</sec>
<sec id="s3-4-6">
<title>SARS-CoV-2 Potential Consequences</title>
<p>In most cases, when adding the SARS-CoV-2 consequences on working conditions in the multivariate models, the associations found in the first multivariate model remained and some new ones appeared (<xref ref-type="sec" rid="s9">Supplementary Tables S4&#x2013;S7</xref>). The prevalence of sleep disorders, sick leaves, and accidents increased with SARS-CoV-2 crisis consequences on physical or mental health [OR &#x3d; 1.83 (1.11, 3.00), OR &#x3d; 1.82 (1.14, 2.91), and OR &#x3d; 3.05 (1.51, 6.14), respectively]. In addition, sleep disorders increased with seniority [1.03 per additional year (1.01, 1.06)]. Shoulder or neck muscle pain was more prevalent among female BDs <italic>versus</italic> male BDs [OR &#x3d; 1.81 (1.04, 3.17)].</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<sec id="s4-1">
<title>Main Findings</title>
<p>Musculoskeletal disorders were the most prevalent subjective health issue reported in this study. This issue was reported in many studies in many countries [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>] and their causes are well known: vibrations, awkward seating, and long period seating [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>]. The prevalence of nine out of the sixteen health issues and accident studied has not changed across the three time-points despite important changes in BDs&#x2019; working conditions (<xref ref-type="table" rid="T3">Table 3</xref>). Only three health issues have a decreased prevalence. More frequent use of vehicles equipped with air conditioning could be an explanation for a decrease in hypersudation prevalence.</p>
</sec>
<sec id="s4-2">
<title>Result Interpretation</title>
<p>Our assumption in logistic regression modeling was that more BDs consider their work conditions as tedious more frequently the associated health condition would be reported. We did not have information on the frequency of tedious work situations. However, some of them may be repetitive, such as passengers&#x2019; aggressiveness which can occur several times a week or even daily [<xref ref-type="bibr" rid="B49">49</xref>].</p>
<sec id="s4-2-1">
<title>Musculoskelettal Disorders</title>
<p>In the explanatory model of shoulder or neck muscle pain, the associated working condition was the driving shift longer than 4&#xa0;h, which seems perfectly plausible, considering all the other factors as independent. While a working day longer than 10&#xa0;h was also associated with this health outcome, with a similar effect size as &#x3e;4-h driving shift in the univariate analysis, in the adjusted models, this association disappeared because of collinearity with the long driving shifts. The same is true for the effect size of anxiety and stress, which are similar and statistically significant in the univariate analysis, but change in the fully adjusted models. Besides these working conditions, the reporting of the upper limb muscular pain and headache also explained the presence of shoulder or neck muscle pain, with quite high ORs (<xref ref-type="sec" rid="s9">Supplementary Table S1</xref>). Furthermore, a two-fold increased risk of shoulder or neck muscle pain associated with female sex is another important finding, considering the growing feminization of the bus driver profession. For a long time, all bus drivers were men, and the vehicles were designed according to their stature. Presently, there are four times as many female BDs as in 2010 and the buses are not adapted to their, usually smaller, stature. This finding should be considered in the design of new vehicles. Finally, an observed association between shoulder or neck muscle pain and passengers&#x2019; aggressiveness in the fully adjusted deserves a cautious interpretation. In the univariate model, a statistically non-significant OR of 1.10 was observed. In the adjusted model, it first decreased to 0.79, then to 0.73, which became significant, but more as a statistical artifact than a meaningful finding. While it can be a risk factor for the outcomes considered in this study, when controlled for all the other variables identified in the DAG, it disappears and/or changes direction likely due to an over-adjustment. Considering passengers or other road users&#x2019; aggressiveness as protective against shoulder or neck muscle pain would be completely misleading, especially because this effect is observed only when adjusting for SARS-CoV-2 impacts. It is thus likely, that the measures taken against the spread of SARS-CoV-2 had a protective effect on the bus driver who was thus isolated from the unkind passengers and protected from their aggression.</p>
</sec>
<sec id="s4-2-2">
<title>Sleep Disorders</title>
<p>An important finding was the association of seniority with an increased prevalence of sleep disorders. We expected the cumulated exposure to various hazards to increase with increasing seniority, which in turn increases the risk of having sleep disorders. Studies have shown an increase in mental health issues, including stress, due to the SARS-CoV-2 pandemic [<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B50">50</xref>]. As known, stress could deteriorate sleep quality [<xref ref-type="bibr" rid="B51">51</xref>]. Sleep disorders were three times more frequent in Zurich than in the Espace Mitteland. This could be explained by different working conditions or different sensitivities to sleep deprivation. To be noted, union 1 did a prevention campaign focused on sleep disorders at one of the companies corresponding to one-third of the participants living in Zurich. This might explain the association of a higher prevalence of sleep disorders with affiliation with union 3, as BDs part of union 3 might be more indulgent or less sensitive to this problem.</p>
</sec>
<sec id="s4-2-3">
<title>Sick Leaves</title>
<p>In the explanatory model of sick leaves, the associated working conditions were the working day over 10&#xa0;h and the driving shift longer than 4&#xa0;h, which seems perfectly plausible as this corresponds to longer exposure to hazards during a day. The association of anxiety and stress, which were statistically significant and led to an excess risk of sick leaves in univariate analysis, changed in the fully adjusted models. Indeed, stress usually negatively impacts health, increasing the risk of sleep disorders or stomach pain [<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B52">52</xref>]. However, in our study, anxiety, which is highly correlated with stress, explains better the sick leaves, anxious BDs tend to have more sick leaves. The cumulated exposure to various hazards increases with increasing seniority, which in turn increases the risk of having a disease and being on sick leave. The association of sick leaves with SARS-CoV-2 impact on physical or mental health was expected as bus drivers were at higher risk to contract the disease [<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B26">26</xref>] and the pandemic was linked to an increase in mental disorders in essential workers [<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>]. Among unions, Lake Geneva Region was known to have a problem with high absenteeism. Unions explained that due to the shortage of BDs [<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B11">11</xref>] and to maintain the service, bus companies had to make the present staff work, even if it meant eliminating days of rest. This results in an overload of work that could lead to employees taking a couple of sick leave days because they were no longer able to work.</p>
</sec>
<sec id="s4-2-4">
<title>Driving Accidents</title>
<p>Urban service was associated with excess risk of driving accidents. The working environment is different for urban and regional routes. Urban traffic is often considered more stressful with heavier traffic, more bicycles, more pedestrians, more disruptions on the road, and a tighter schedule. All these elements can be stressors and cause traffic accidents. In contrast, regional service generally has less traffic, fewer disruptions, and a looser schedule with more break time at the terminus. In addition, according to many drivers and unions, passenger behavior is also different between the two types of services. In the cities, people are usually more stressed and aggressive than outside the cities [<xref ref-type="bibr" rid="B53">53</xref>].</p>
<p>In both univariate and multivariate logistic regression models (<xref ref-type="sec" rid="s9">Supplementary Table S4</xref>) the increased prevalence of driving accidents was associated with apprenticeship. To understand this association, it is important to understand the Swiss educational system, composed of three levels: compulsory (mandatory school), upper secondary (apprenticeship or general education), and tertiary (universities or college). During mandatory school, depending on their school grades, students are divided into sectors, either extended requirements or basic-requirement. After mandatory school, students from the basic-requirement sector do an apprenticeship, while the others can either continue their study or do an apprenticeship. Overall, in Switzerland, two-thirds of young people choose to do an apprenticeship [<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B55">55</xref>]. The BD profession is not an apprenticeship in Switzerland, but a training acquired in employment in the bus company for 6&#xa0;months to 1&#xa0;year. To start the BD training, it is mandatory to have an apprenticeship or at least 2&#xa0;years of professional experience. All Swiss BDs had previous work experience, which might have no link with driving such as cook or jurist. In addition, apprenticeships are more frequent for occupations that are more physically demanding and exposed than occupations accessible only through higher education.</p>
<p>Contrary to before, in the univariate models, stress had a stronger effect than anxiety, and after adjustment, stress kept an excess risk (OR&#x3e;1) while anxiety lost its effect when adding stress to the model. This seems plausible as stress is a known cause of driving accidents as it might lead to loss of focus and induce fatigue [<xref ref-type="bibr" rid="B56">56</xref>]. Fatigue is another known cause of driving accidents [<xref ref-type="bibr" rid="B31">31</xref>], we found that fatigue led to an excess risk (OR&#x3e;1) of accidents in our univariate model. Moreover, the impacts of the SARS-CoV-2 pandemic on health and sick leave were partly related to mental health and fatigue, both of which were risk factors for accidents [<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B56">56</xref>].</p>
</sec>
</sec>
<sec id="s4-3">
<title>Results Generalization and Risk of Bias</title>
<p>As both the exposures and the outcome were self-reported, some participants could have over or under-reported their exposure and health problems. This could lead to an information bias, which is present in all studies of this kind [<xref ref-type="bibr" rid="B57">57</xref>]. Without additional measurement data on these variables, it is impossible to predict the amount and direction of a potential misclassification bias. As we did not ask about the occupation learned in apprenticeship and the frequency of tedious work conditions, the study does not allow any causal understanding of the health outcomes and is a hypotheses-generating study. A selection bias might be present as there could be differences between the participants and the BDs who did not participate. Having only unionized drivers, which corresponds to 40.3% of the Swiss BDs, they could not represent the whole Swiss BD population, our target population. Noteworthy, the unionization depends on the company, varying from 5% to 80%. The under-representation of German-speaking region and the over-representation of the French and Italian-speaking regions is typical situation in similar surveys conducted in Switzerland [<xref ref-type="bibr" rid="B58">58</xref>], as we discussed elsewhere [<xref ref-type="bibr" rid="B45">45</xref>]. As the distribution of our sample does not perfectly reflect the target population of Swiss BDs and due to the design and availability of data, the results of this study should be considered as preliminary and further confirmed in methodologically stronger studies.</p>
</sec>
<sec id="s4-4">
<title>Conclusion</title>
<p>This study showed that many Swiss BDs report multiple health problems simultaneously and this trend has worsened between 2010 and 2022. The most frequently perceived health problems are musculoskeletal diseases including shoulder or neck muscle pain or back pain. The second most frequent complaint is abnormal fatigue reported by more than half of the BDs. Shoulder or neck muscle pain, sleep disorders, sick leaves, and accidents have increased since 2010 or 2018. The increased health issues were associated with working conditions, which also worsened in the 12 past years and the presence of co-morbidity. The SARS-CoV-2 pandemic had additional negative consequences on BD&#x2019;s health outcomes. The study was based on self-reported data by unionized BDs. Therefore, the results deserve a cautious interpretation and generalization. Nevertheless, they suggest a need for cohort studies to confirm these findings and to set up interventions targeting the most tedious and harmful work conditions, such as long driving/working hours.</p>
</sec>
</sec>
</body>
<back>
<sec id="s5">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Commision cantonale d&#x2019;&#xe9;thique de la recherche sur l&#x2019;&#xea;tre humain (CER-VD), Canton of Vaud (CER-VD decision number 2021-01089). Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>VR collected, cleaned and analyzed the data and drafted the manuscript. IG conceived the study protocol, obtained the funding and access to the data, critically reviewed and completed the manuscript and coordinated the study. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s7">
<title>Funding</title>
<p>This study was funded by the Swiss Federal Office of Transport within the program &#x201c;Energy Strategy 2050 in Public Transport,&#x201d; Grant No. 780000982.</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<title>Conflict of Interest</title>
<p>The authors declare that they do not have any conflicts of interest.</p>
</sec>
<ack>
<p>We thank all participants for completing the questionnaire. We also thank Thomas Charreau and Andre Farine for their help with data management and statistical analysis. We wish to acknowledge Union of Transport Workers (SEV), Union of Public Services (ssp), and Syndicom&#x2013;the media and communication union for their collaboration and study promotion. We are grateful to Micha Amstad, Manuel Wyss, Yves Sancey, and Christian Fankhauser, all members of the above-mentioned unions, for their support and help in interpreting study results.</p>
</ack>
<sec id="s9">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.ssph-journal.org/articles/10.3389/ijph.2023.1605925/full#supplementary-material">https://www.ssph-journal.org/articles/10.3389/ijph.2023.1605925/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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