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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJOE</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Occupational and Environmental Medicine</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2690-0904</issn>
      <publisher>
        <publisher-name>Open Access Pub</publisher-name>
        <publisher-loc>United States</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.14302/issn.2690-0904.ijoe-21-3736</article-id>
      <article-id pub-id-type="publisher-id">ijoe-21-3736</article-id>
      <article-categories>
        <subj-group>
          <subject>research-article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Fine and Ultrafine Particle Pollution Before and After a Smoking ban in the Catering Industry in Vienna</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Annika</surname>
            <given-names>K. Sima</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842346796">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Anna-Lena</surname>
            <given-names>M. Szettele</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842346796">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Manfred</surname>
            <given-names>Neuberger</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842346796">1</xref>
          <xref ref-type="aff" rid="idm1842362468">*</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1842346796">
        <label>1</label>
        <addr-line>Medical University of Vienna, Centre of Public Health; A-1090 Wien, Kinderspitalgasse 15, Austria</addr-line>
      </aff>
      <aff id="idm1842362468">
        <label>*</label>
        <addr-line>Corresponding author</addr-line>
      </aff>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Sasho</surname>
            <given-names>Stoleski</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842473124">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1842473124">
        <label>1</label>
        <addr-line>Institute of Occupational Health of R. Macedonia, WHO CC and Ga2len CC, Macedonia.</addr-line>
      </aff>
      <author-notes>
        <corresp>
    
    Manfred Neuberger<addr-line>, Medical University of Vienna, Centre of Public Health; A-1090 Wien, Kinderspitalgasse 15, Austria</addr-line>, Email: <email>manfred.neuberger@meduniwien.ac.at</email></corresp>
        <fn fn-type="conflict" id="idm1841415556">
          <p>The authors have declared that no competing interests exist.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub" iso-8601-date="2021-03-06">
        <day>06</day>
        <month>03</month>
        <year>2021</year>
      </pub-date>
      <volume>1</volume>
      <issue>2</issue>
      <fpage>18</fpage>
      <lpage>28</lpage>
      <history>
        <date date-type="received">
          <day>27</day>
          <month>02</month>
          <year>2021</year>
        </date>
        <date date-type="accepted">
          <day>05</day>
          <month>03</month>
          <year>2021</year>
        </date>
        <date date-type="online">
          <day>06</day>
          <month>03</month>
          <year>2021</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© </copyright-statement>
        <copyright-year>2021</copyright-year>
        <copyright-holder>Annika K. Sima, et al.</copyright-holder>
        <license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="http://openaccesspub.org/ijoe/article/1592">This article is available from http://openaccesspub.org/ijoe/article/1592</self-uri>
      <abstract>
        <p>In the catering industrytobacco smoke was the primary source of fine and ultrafine particles, which are well known for their health-damaging effects. As shown in studies, attempts to reduce passive smoking in the catering industry of Vienna, like separated smoking rooms, failed to reduce fine and ultrafine particle concentrations effectively. On November 1<sup>st</sup> 2019, an enlarged non-smoker’s protection law was introduced, including a total smoking-ban in the catering industry. 40 hospitality venues with areas for smokers and non-smokers before the ban had been selected as typical Viennese cafes, pubs, bars and discotheques to be sampled unannounced. Concentrations of fine particle mass (PM10, PM2.5, PM1) and ultrafine particle number (PNC) and lung deposited surface area (LDSA) could be measured before and after the introduction of the smoking-ban in 39 venues at nearly identical locations and under comparable circumstances. Results showed a statistically significant decline in both fine and ultrafine particle concentrations in the former smoking areas for all parameters as well as in the former                 non-smoking areas for PM2.5, PM1 and LDSA. After the ban concentrations in former smoking areas and                     non-smoking areas showed no significant differences any more. From these results the smoking-ban successfully removed particles from breathing air of guests and staff, however, some outliers in the study after the ban point to the necessity of repeated controls in Vienna. Also, outside Vienna the compliance with the law should be controlled in the Austrian hospitality industry.</p>
      </abstract>
      <kwd-group>
        <kwd>Indoor air</kwd>
        <kwd>particulate matter</kwd>
        <kwd>fine particle mass</kwd>
        <kwd>ultrafine particle number</kwd>
        <kwd>particle surface</kwd>
        <kwd>smoke-free legislation</kwd>
        <kwd>smoking ban</kwd>
        <kwd>second-hand smoke</kwd>
        <kwd>catering industry</kwd>
        <kwd>Vienna</kwd>
      </kwd-group>
      <counts>
        <fig-count count="6"/>
        <table-count count="4"/>
        <page-count count="11"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec id="idm1842193580" sec-type="intro">
      <title>Introduction</title>
      <p>Fine and ultrafine particles as atmospheric aerosols contribute to hazardous air pollution, mainly deriving from anthropogenic burning processes such as combustion engines, industry, heating and tobacco smoking. <xref ref-type="bibr" rid="ridm1842444916">1</xref> Whereas concentrations of fine particles are classified by their aerodynamic diameter as particulate matter ≤ 10 μm (PM10), particulate  matter ≤ 2.5 μm (PM2.5) and particulate matter ≤ 1 μm  (PM1), <xref ref-type="bibr" rid="ridm1842446428">2</xref><xref ref-type="bibr" rid="ridm1842449572">3</xref> concentrations of ultrafine particles are classified by their number (Particulate Number Concentration, PNC) as well as their effective surface (Lung Deposited Surface Area, LDSA). <xref ref-type="bibr" rid="ridm1842548876">4</xref></p>
      <p>Studies have shown that fine and ultrafine particles cause multiple negative effects on human health. <xref ref-type="bibr" rid="ridm1842295788">5</xref><xref ref-type="bibr" rid="ridm1842292188">6</xref><xref ref-type="bibr" rid="ridm1842290892">7</xref><xref ref-type="bibr" rid="ridm1842282860">8</xref> The tinier a particle’s diameter, the more easily is its movement into the deeper airways, implying a greater damage potential. <xref ref-type="bibr" rid="ridm1842279548">9</xref> Acute, subacute and long-term effects of exposure to high concentrations of fine particles result in higher morbidity, hospital admissions and higher mortality. <xref ref-type="bibr" rid="ridm1842446428">2</xref><xref ref-type="bibr" rid="ridm1842290892">7</xref><xref ref-type="bibr" rid="ridm1842282860">8</xref></p>
      <p>One of the most common sources of fine and ultrafine particles in closed spaces is tobacco                 smoke. <xref ref-type="bibr" rid="ridm1842285884">10</xref><xref ref-type="bibr" rid="ridm1842273268">11</xref><xref ref-type="bibr" rid="ridm1842267868">12</xref> Preventively, the World Health Organisation (WHO) has formulated guidelines to limit the ambient pollutant concentrations of fine particles. Hence, in a 24-hours-mean, PM10 is limited to 50 μg/m3 and PM2.5 to 25 μg/m3. In a yearly mean, PM10 is limited to 20 μg/m3 and PM2.5 to 10 μg/m3. The WHO has proposed to deploy these restrictions for closed spaces as well. However, concentration limits of ultrafine particles as well as PM1 have not been suggested               yet. <xref ref-type="bibr" rid="ridm1842449572">3</xref></p>
      <p>Concerning the WHO’s suggestions, guidelines for ambient fine particle concentration limits were introduced in Austria. Thus, limited daily means of fine particle concentration were set for PM10 to 50 μg/m3, limited yearly means for PM10 to 40 μg/m3 and for PM2.5 to 25 μg/m3. For PM2.5, no daily mean concentration limit has been set yet. Also, there have neither been guidelines for ultrafine particle concentration or PM1 nor suggestions of concentration limits in closed spaces. <xref ref-type="bibr" rid="ridm1842285884">10</xref><xref ref-type="bibr" rid="ridm1842237892">13</xref></p>
      <p>To protect non-smokers from passive smoke in the catering industry, the Austrian legislation requested with 1st January 2009 among other things separated smoking and non-smoking areas in gastronomic facilities larger than 80 m2. <xref ref-type="bibr" rid="ridm1842234580">14</xref> Nevertheless, as smoking had still been permitted in the smoking areas and experience has shown that separation of the areas was not performed as thoroughly as demanded, doubts of meeting the concentration limits were raised, whereas a study was launched by the Medical University of Vienna from April to October 2019. In this study, two students measured the concentration of fine and ultrafine particulate matter of passive smoke in 40 randomly chosen gastronomic venues, comparing the smoking to the non-smoking area. Results of this study have shown that in spite of separated areas, in many facilities it had not been possible to meet the Austrian guidelines, much less the WHO’s suggestions, due to passive                   smoke. <xref ref-type="bibr" rid="ridm1842273268">11</xref><xref ref-type="bibr" rid="ridm1842267868">12</xref><xref ref-type="bibr" rid="ridm1842234580">14</xref></p>
      <p>Alongside, after years of debates, Austria’s legislation enlarged the so-called “Non-Smoker’s Protection Law” on November 1st 2019, introducing a smoking-ban regarding the whole catering industry. Through this law, all kinds of smoking got prohibited indoors. Furthermore, all gastronomic locations have to mark themselves visibly as smoke free. <xref ref-type="bibr" rid="ridm1842229900">15</xref></p>
      <p>On account of this enlarged law, this study is rested. Therefore, its aim is to compare the concentrations of fine and ultrafine particulate matter before to after introducing the smoking ban into Austrian gastronomy, differentiated between formerly smoking and non-smoking areas. Thus, a repeated  cross-sectional study on a sample of hospitality venues was created. </p>
    </sec>
    <sec id="idm1842195236" sec-type="materials">
      <title>Materials and Methods</title>
      <p>As to collect samples of fine and ultrafine particle concentration before introducing the               smoking-ban, first study measurements were performed from April to October 2019 in 40 randomly chosen, well frequented catering facilities of different types, such as pubs, restaurants, bars, discotheques and cafeterias in  Vienna. <xref ref-type="bibr" rid="ridm1842273268">11</xref> From November 2019 to March 2020, the measurements were repeated, visiting the same venues considering approximately similar settings, including the same rooms, related time of the recordings and similar weekdays (differencing between days during a week and the weekend), however, to well frequented times (cafes in the afternoon, discotheques at night). One venue of the first study had to be excluded in the second study, because it was closed, whereas recordings were taken in 39 gastronomy facilities before COVID-19 shutdown started. Each facility had separate smoking and                  non-smoking areas before November 2019, hence in each area a measurement was undertaken. Each recording lasted 20-30 minutes and, such as to avoid selection bias from permission, was unannounced and hidden while consuming. As devices, GRIMM® Aerosol Spectrometer 1.108 for fine particulate matter, detecting particles bigger than 300 nanometres, and MiniDiSC®, detecting particles of 10-300 nanometres in diameter, for ultrafine particulate concentration were chosen. Measurement methods were described earlier. <xref ref-type="bibr" rid="ridm1842230548">16</xref><xref ref-type="bibr" rid="ridm1842241852">17</xref><xref ref-type="bibr" rid="ridm1842238684">18</xref><xref ref-type="bibr" rid="ridm1842209868">19</xref></p>
      <p>After collecting the data, the differences of concentrations between these two (formerly) areas were analysed and the differences of concentrations before to after introducing the smoking ban. The various mean concentrations of both studies were compared using statistics, including primarily paired t-testing as well as visual descriptions like boxplots via IBM SPSS Statistics Subscription®. The results were assessed to a confidence interval of 95%, therefore, contrasted against the significance level of p=0.05.</p>
    </sec>
    <sec id="idm1842192932" sec-type="results">
      <title>Results</title>
      <p>Contrasted against p=0.05, statistics show statistically significant declines of fine particle concentrations of PM10, PM2.5 and PM1 in former smoking areas as well as of PM2.5 and PM1 in former non-smoking areas, as shown in <xref ref-type="table" rid="idm1842999788">Table 1</xref> and <xref ref-type="fig" rid="idm1842995972">Figure 1</xref>. As for ultrafine particle concentration, statistically significant declines of PNC were registered in former smoking areas. In former non-smoking areas, the PNC decline was not significant. Considering LDSA, in both areas statistically significant declines were shown (<xref ref-type="table" rid="idm1842905268">Table 2</xref>, <xref ref-type="fig" rid="idm1842994388">Figure 2</xref>, <xref ref-type="fig" rid="idm1842999644">Figure 3</xref>).</p>
      <fig id="idm1842995972">
        <label>Figure 1.</label>
        <caption>
          <title> Fine particle mass PM10, PM2.5 and PM1 (µg/m³) in 39 hospitality venues before and after introducing the smoking-ban in all areas. Outliers are indicated by circles (1.5-3.0 x IQR) and stars (&gt;3.0 x IQR).</title>
        </caption>
        <graphic xlink:href="images/image1.jpg" mime-subtype="jpg"/>
      </fig>
      <fig id="idm1842994388">
        <label>Figure 2.</label>
        <caption>
          <title> Ultrafine particle number concentration/cm³ in 39 venues before and after introducing the smoking-ban, by areas. Significant differences indicated by p&lt;0.001, outliers indicated by circles (1.5-3.0 x IQR) and stars (&gt;3.0 x IQR).</title>
        </caption>
        <graphic xlink:href="images/image2.jpg" mime-subtype="jpg"/>
      </fig>
      <fig id="idm1842999644">
        <label>Figure 3.</label>
        <caption>
          <title> Ultrafine particle surface (LDSA) concentrations (µm²/cm³) before and after introducing the smoking-ban, by areas. Significant differences indicated by p&lt;0.01 and p&lt;0.05, outliers indicated by circles (1.5-3.0 x IQR) and stars (&gt;3.0 x IQR).</title>
        </caption>
        <graphic xlink:href="images/image3.jpg" mime-subtype="jpg"/>
      </fig>
      <table-wrap id="idm1842999788">
        <label>Table 1.</label>
        <caption>
          <title> t-Test with paired samples before and after smoking-ban (PM10, PM2.5, PM1)</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td colspan="2"> </td>
              <td colspan="3">     </td>
              <td colspan="2">95% confidence interval of differences</td>
              <td>T</td>
              <td>df</td>
              <td>Sig.             (2-sided)</td>
            </tr>
            <tr>
              <td colspan="2"/>
              <td>Mean</td>
              <td>Standard deviation</td>
              <td>Standard error of mean</td>
              <td>Lower value</td>
              <td>Upper value</td>
              <td/>
              <td/>
              <td/>
            </tr>
            <tr>
              <td>Pair 1</td>
              <td>beforeSPM10- afterSPM10</td>
              <td>119.034</td>
              <td>149.816</td>
              <td>24.303</td>
              <td>69.791</td>
              <td>168.278</td>
              <td>4.898</td>
              <td>37</td>
              <td>0.000</td>
            </tr>
            <tr>
              <td>Pair 2</td>
              <td>beforeNSPM10                 - afterNSPM10</td>
              <td>22.411</td>
              <td>68.427</td>
              <td>11.566</td>
              <td>-1.094</td>
              <td>45.917</td>
              <td>1.938</td>
              <td>34</td>
              <td>0.061</td>
            </tr>
            <tr>
              <td>Pair 3</td>
              <td>beforeSPM2.5 - afterSPM2.5</td>
              <td>121.006</td>
              <td>136.585</td>
              <td>22.157</td>
              <td>76.112</td>
              <td>165.901</td>
              <td>5.461</td>
              <td>37</td>
              <td>0.000</td>
            </tr>
            <tr>
              <td>Pair 4</td>
              <td>beforeNSPM2.5- afterNSPM2.5</td>
              <td>29.557</td>
              <td>70.819</td>
              <td>11.971</td>
              <td>5.230</td>
              <td>53.885</td>
              <td>2.469</td>
              <td>34</td>
              <td>0.019</td>
            </tr>
            <tr>
              <td>Pair 5</td>
              <td>beforeSPM1 - afterSPM1</td>
              <td>106.264</td>
              <td>122.758</td>
              <td>20.181</td>
              <td>65.335</td>
              <td>147.195</td>
              <td>5.265</td>
              <td>36</td>
              <td>0.000</td>
            </tr>
            <tr>
              <td>Pair 6</td>
              <td>beforeNSPM1- afterNSPM1</td>
              <td>25.982</td>
              <td>61.699</td>
              <td>10.429</td>
              <td>4.788</td>
              <td>47.177</td>
              <td>2.491</td>
              <td>34</td>
              <td>0.018</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="idm1842141916">
            <label/>
            <p>Key: “Before” indicates samples before the introduction of the smoking-ban, “after” after the introduction. “S” codes the smoking area, “NS” the non-smoking area. PM10, PM2.5 and PM1 code the particular fine particle           concentration. The hyphen represents the comparison. N = 39</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <table-wrap id="idm1842905268">
        <label>Table 2.</label>
        <caption>
          <title> t-Test with paired samples before and after smoking-ban (PNC, LDSA)</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td colspan="2"> </td>
              <td colspan="3">     </td>
              <td colspan="2">95% confidence interval of differences</td>
              <td>T</td>
              <td>df</td>
              <td>Sig.             (2-sided)</td>
            </tr>
            <tr>
              <td colspan="2"/>
              <td>Mean</td>
              <td>Standard deviation</td>
              <td>Standard error of mean</td>
              <td>Lower value</td>
              <td>Upper value</td>
              <td/>
              <td/>
              <td/>
            </tr>
            <tr>
              <td>Pair 1</td>
              <td>beforeSPNC- afterSPNC</td>
              <td>76724.690</td>
              <td>84008.941</td>
              <td>14850.823</td>
              <td>46436.234</td>
              <td>107013.140</td>
              <td>5.166</td>
              <td>31</td>
              <td>0.000</td>
            </tr>
            <tr>
              <td>Pair 2</td>
              <td>beforeNSPNC - afterNSPNC</td>
              <td>3518.939</td>
              <td>49925.829</td>
              <td>8207.756</td>
              <td>-13127.161</td>
              <td>20165.040</td>
              <td>0.429</td>
              <td>36</td>
              <td>0.671</td>
            </tr>
            <tr>
              <td>Pair 3</td>
              <td>beforeSLDSA- afterSLDSA</td>
              <td>384.810</td>
              <td>332.852</td>
              <td>58.841</td>
              <td>264.804</td>
              <td>504.816</td>
              <td>6.540</td>
              <td>31</td>
              <td>0.000</td>
            </tr>
            <tr>
              <td>Pair 4</td>
              <td>beforeNSLDSA - afterNSLDSA</td>
              <td>67.879</td>
              <td>157.620</td>
              <td>25.913</td>
              <td>15.326</td>
              <td>120.432</td>
              <td>2.620</td>
              <td>36</td>
              <td>0.013</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="idm1842091396">
            <label/>
            <p>Key: “Before” indicates samples before the introduction of the smoking-ban, “after” after the introduction. “S” codes the smoking area, “NS” the non-smoking area. PNC and LDSA code the particular ultrafine particle subsets. The hyphen represents the comparison. N = 39</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>Fine and ultrafine particle concentrations after introducing the smoking ban were not significantly different between the former smoking and former              non-smoking areas. (<xref ref-type="table" rid="idm1842850036">Table 3</xref> and <xref ref-type="table" rid="idm1842854212">Table 4</xref>, <xref ref-type="fig" rid="idm1842772476">Figure 4</xref>, <xref ref-type="fig" rid="idm1842771252">Figure 5</xref>, <xref ref-type="fig" rid="idm1842771612">Figure 6</xref>)</p>
      <table-wrap id="idm1842850036">
        <label>Table 3.</label>
        <caption>
          <title> t-Test with paired samples comparing areas after smoking ban (PM10, PM2.5, PM1)</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td colspan="2"> </td>
              <td colspan="3">     </td>
              <td colspan="2">95% confidence interval of              differences</td>
              <td>T</td>
              <td>df</td>
              <td>Sig.                (2-sided)</td>
            </tr>
            <tr>
              <td colspan="2"/>
              <td>Mean</td>
              <td>Standard  deviation</td>
              <td>Standard error of mean</td>
              <td>Lower value</td>
              <td>Upper value</td>
              <td/>
              <td/>
              <td/>
            </tr>
            <tr>
              <td>Pair 1</td>
              <td>afterSPM10 - afterNSPM10</td>
              <td>7.444</td>
              <td>40.982</td>
              <td>7.028</td>
              <td>-6.855</td>
              <td>21.743</td>
              <td>1.059</td>
              <td>33</td>
              <td>0.297</td>
            </tr>
            <tr>
              <td>Pair 2</td>
              <td>afterSPM2.5 - afterNSPM2.5</td>
              <td>4.957</td>
              <td>19.183</td>
              <td>3.290</td>
              <td>-1.736</td>
              <td>11.651</td>
              <td>1.507</td>
              <td>33</td>
              <td>0.141</td>
            </tr>
            <tr>
              <td>Pair 3</td>
              <td>afterSPM1 - afterNSPM1</td>
              <td>3.210</td>
              <td>11.528</td>
              <td>1.977</td>
              <td>-.8121</td>
              <td>7.233</td>
              <td>1.624</td>
              <td>33</td>
              <td>0.114</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="idm1842065732">
            <label/>
            <p>Key: “After” represents samples after the introduction of the smoking-ban. “S” codes the smoking area, “NS” codes the non-smoking area. PM10, PM2.5 and PM1 code the particular fine particle concentration. The hyphen represents the comparison. N = 35</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <table-wrap id="idm1842854212">
        <label>Table 4.</label>
        <caption>
          <title> t-Test with paired samples comparing areas after smoking ban (PNC, LDSA)</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td colspan="2"> </td>
              <td colspan="3">     </td>
              <td colspan="2">95% confidence interval of differences</td>
              <td>T</td>
              <td>df</td>
              <td>Sig.                            (2-sided)</td>
            </tr>
            <tr>
              <td colspan="2"/>
              <td>Mean</td>
              <td>Standard  deviation</td>
              <td>Standard error of mean</td>
              <td>Lower  value</td>
              <td>Upper             value</td>
              <td/>
              <td/>
              <td/>
            </tr>
            <tr>
              <td>Pair 1</td>
              <td>afterNSPNC- afterSPNC</td>
              <td>6167.783</td>
              <td>28884.296</td>
              <td>5273.527</td>
              <td>-4617.790</td>
              <td>16953.357</td>
              <td>1.170</td>
              <td>29</td>
              <td>0.252</td>
            </tr>
            <tr>
              <td>Pair 2</td>
              <td>afterNSLDSA - afterSLDSA</td>
              <td>-1.748</td>
              <td>61.225</td>
              <td>11.178</td>
              <td>-24.610</td>
              <td>21.114</td>
              <td>-0.156</td>
              <td>29</td>
              <td>0.877</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="idm1842050748">
            <label/>
            <p>Key: “After” represents samples after the introduction of the smoking-ban. “S” codes the smoking area, “NS” codes the non-smoking area. PM10, PM2.5 and PM1 code the particular fine particle concentration. The                 hyphen represents the comparison. N = 30</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <fig id="idm1842772476">
        <label>Figure 4.</label>
        <caption>
          <title> Fine particle mass PM10, PM2.5 and PM1 concentrations in formerly separated areas after introduction of the smoking-ban. Outliers indicated by circles (1.5-3.0 x IQR) and stars (&gt;3.0 x IQR).</title>
        </caption>
        <graphic xlink:href="images/image4.jpg" mime-subtype="jpg"/>
      </fig>
      <fig id="idm1842771252">
        <label>Figure 5.</label>
        <caption>
          <title> PNC in formerly separated areas after introduction of the smoking-ban. Outliers indicated by circles (1.5-3.0 x IQR) and stars (&gt;3.0 x IQR).</title>
        </caption>
        <graphic xlink:href="images/image5.jpg" mime-subtype="jpg"/>
      </fig>
      <fig id="idm1842771612">
        <label>Figure 6.</label>
        <caption>
          <title> LDSA concentrations in formerly separated areas after introduction of the  smoking-ban. Outliers indicated by circles (1.5-3.0 x IQR) and stars (&gt;3.0 x IQR).</title>
        </caption>
        <graphic xlink:href="images/image6.jpg" mime-subtype="jpg"/>
      </fig>
      <p>Overall, concerning the comparison before to after the introduction of the smoking-ban, in each area were found remarkable declines of fine as well as ultrafine particle concentrations, statistically significant in smoking areas for PM10, PM2.5, PM1, PNC and LDSA and in non-smoking areas for PM2.5, PM1 and LDSA. No statistically significant declines were registered in               non-smoking areas for PM10 and PNC. After the ban, there were no significant differences of concentrations found anymore between former smoking and non-smoking areas.</p>
    </sec>
    <sec id="idm1842044628" sec-type="discussion">
      <title>Discussion</title>
      <p>In comparison to the smoking areas before the ban statistically significant declines of fine and ultrafine particle concentrations indicate reduced passive smoking in the Viennese hospitality industry, which is a successful development. Also, these results underline the effectiveness of the new legislation to protect the population against the harmful effects of fine and ultrafine particles from second-hand smoke. The decline of PM10 in former non-smoking areas was not significant, which might be due to renovation and other sources of PM10, stirred up and resuspended by walking of guests and waiters. The high variance of PNC in the non-smoking area might have been due to illegal smoking shortly before the air sample was taken, which could explain some very high concentrations at single venues, especially if concomitant with high LDSA and PM1 in the room. But the big variance of PNC in the  non-smoking area could partly be explained also by other possible combustion (e.g. candles which have been excluded at the table of the researcher only) and condensation products, highly variable in time and space. </p>
      <p>Prior to the smoking ban indoor smoke exposures were highest in the smoking rooms, followed by adjacent rooms and lowest outdoors. There were no significant differences in concentrations between the smoking and non-smoking areas after the smoking ban entered into force. Therefore, one could diagnose that the indoor air quality was considerably              improved. <xref ref-type="bibr" rid="ridm1842273268">11</xref><xref ref-type="bibr" rid="ridm1842267868">12</xref> However, some outliers in this study after the ban show the necessity of repeated controls in Vienna. Also, outside Vienna the compliance with the law should be controlled in the Austrian hospitality industry. The goal should be the enforcement of the law in all hospitality venues, complete disappearance of ash trays indoors and at the entrance, indoor air concentrations of PM2.5 below 25 µg/m<sup>³</sup><xref ref-type="bibr" rid="ridm1842449572">3</xref> and PNC below 10,000 pt/cm<sup>³</sup><xref ref-type="bibr" rid="ridm1842238684">18</xref>.</p>
    </sec>
    <sec id="idm1842046068">
      <title>Limitations and Strengths</title>
      <p>Throughout the repeated cross-sectional study on a sample of hospitality venues, most venues could be visited a second time before the COVID-19 epidemic reached Vienna. Nevertheless, some venues had been adjusted meanwhile to the new law by removing barriers between the former smoking and non-smoking area. Some rooms had also been closed and the sample could not be taken anymore at the same location. Further studies are proposed after lockdowns for COVID-19 ended. By future studies with larger sample sizes, more precise data of the air quality in the catering industry after the smoking-ban could be collected, including chemical analyses of remaining SHS and THS. Moreover, possible confounding factors could be investigated more sensitively. </p>
      <p>A strength of this study is that the results showed a high statistical significance, despite of the small sample size. As the samples were taken without any advance-notice, it could be ensured that the results have not been distorted by selection bias from participation. This is a strength for gaining chance samples of true exposures in busy venues, but on the other hand masked sampling did not allow measurements of ventilation, etc. before and after the smoking ban. However, sampling time, sampling location and visual inspection indicated comparable environmental conditions at first and second visit, except for renovated venues or rooms which were excluded from the comparisons. Unannounced and hidden sampling while consuming a drink in central parts of venues, omitting sinks (near open doors and windows) and sources of tobacco smoke (smoker at the same table) was a strategy used before <xref ref-type="bibr" rid="ridm1842285884">10</xref> and proved to be successful to differentiate particulate pollution in smoking rooms, adjacent non-smoking rooms, and              non-smoking venues .<xref ref-type="bibr" rid="ridm1842285884">10</xref><xref ref-type="bibr" rid="ridm1842205836">20</xref> Here it was applied for the first time in Austria on each venue in the same location before and after the smoking ban at comparable day of week and time of day (busy hours). Studies on air quality allow quick estimates of compliance to indoor smoking bans.<xref ref-type="bibr" rid="ridm1842202596">21</xref><xref ref-type="bibr" rid="ridm1842213324">22</xref> Future studies should use indicators of individual exposure like cotinine, which allow better estimations of health effects.<xref ref-type="bibr" rid="ridm1842212388">23</xref></p>
    </sec>
    <sec id="idm1842045780" sec-type="conclusions">
      <title>Conclusion</title>
      <p>To conclude, by this study’s statistics and interpretation the suggestion of the smoking-ban’s effectiveness on Viennese gastronomy is given. Additional controls are necessary to verify compliance with tobacco legislation in the Austrian catering industry.  </p>
    </sec>
    <sec id="idm1842044268">
      <title>Acknowledgments</title>
      <p>This study was financially supported by the Austrian Academy of Science (Commission on Climate and Air Quality), which provided the measurement instruments. The researching students of the foregoing study, Sarah Wiesner <xref ref-type="bibr" rid="ridm1842273268">11</xref> and Michael Raab <xref ref-type="bibr" rid="ridm1842267868">12</xref>, provided data of their diploma theses on particle pollution in the Viennese catering industry before the smoking ban. </p>
    </sec>
    <sec id="idm1842046284">
      <title>Affiliations</title>
      <p>Medical University of Vienna, Centre of Public Health; A-1090 Wien, Kinderspitalgasse 15, Austria</p>
    </sec>
    <sec id="idm1842045492">
      <title>Author Contributions</title>
      <p>Conceptualization, M.N.; data collection and analysis, A.K.S. and A.M.S; writing—original draft preparation, A.K.S. and A.M.S; writing—review and editing, A.K.S and M.N.; visualization, A.K.S. and A.M.S; supervision, project administration, funding acquisition, M.N. All authors have read and agreed to the published version of the manuscript.</p>
    </sec>
    <sec id="idm1842043476">
      <title>Funding</title>
      <p>This research received no external funding, except for the costs of the measurement instruments and their calibration, which were carried by the Commission on Climate and Air Quality of the Austrian Academy of Science. </p>
    </sec>
    <sec id="idm1842042108">
      <title>Institutional Review Board Statement</title>
      <p>Not applicable. Due to taking measurements of fine and ultrafine particle concentrations exclusively as well as not using either personalised data nor involving any other beings in this study, it could be desisted from any ethical requests. Apart from the risk of polluted air to the study team, no risky issues were found in this study. All maintained data, e.g. the addresses or names of the monitored facilities, were kept secret by the study’s team members. </p>
    </sec>
    <sec id="idm1842042324">
      <title>Data Availability Statement</title>
      <p>Data supporting reported results can be found in https://repositorium.meduniwien.ac.at, except for personal ones protected by data protection law, which cannot be deposited in publicly archived datasets. </p>
    </sec>
  </body>
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      <title>Abbreviations</title>
      <def-list>
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          <def>
            <p/>
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