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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Int. J. Public Health</journal-id>
<journal-title-group>
<journal-title>International Journal of Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Int. J. Public Health</abbrev-journal-title>
</journal-title-group>
<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">1609624</article-id>
<article-id pub-id-type="doi">10.3389/ijph.2026.1609624</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Concurrent utilisation of cancer screening tests in the general population aged 50&#x2013;69: an analysis of the 2017 Swiss Health Survey</article-title>
<alt-title alt-title-type="left-running-head">Butty Dettwiler et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/ijph.2026.1609624">10.3389/ijph.2026.1609624</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Butty Dettwiler</surname>
<given-names>Audrey</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3370446"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nakiyingi-Miiro</surname>
<given-names>Jessica</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bulliard</surname>
<given-names>Jean-Luc</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1259603"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>1</label>
<institution>Department of Epidemiology and Health Systems, Unisant&#xe9;, University Center for Primary Care and Public Health and University of Lausanne</institution>, <city>Lausanne</city>, <country country="CH">Switzerland</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>London School of Hygiene and Tropical Medicine</institution>, <city>London</city>, <country country="GB">United Kingdom</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Audrey Butty Dettwiler, <email xlink:href="mailto:audrey.dettwiler@unisante.ch">audrey.dettwiler@unisante.ch</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-06-23">
<day>23</day>
<month>06</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>71</volume>
<elocation-id>1609624</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>20</day>
<month>04</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>06</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Butty Dettwiler, Nakiyingi-Miiro and Bulliard.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Butty Dettwiler, Nakiyingi-Miiro and Bulliard</copyright-holder>
<license>
<ali:license_ref start_date="2026-06-23">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Objectives</title>
<p>This study assessed the extent and factors of concurrent utilisation of cancer screenings in Switzerland.</p>
</sec>
<sec>
<title>Methods</title>
<p>Data from the 2017 Swiss Health Survey, representing 1,091,813 females and 1,072,940 males aged 50&#x2013;69, were analysed. Weighted descriptive analyses estimated sex-specific proportions of individuals concurrently up to date with recommended screening for cervical, breast, colorectal, prostate and skin cancer. Multivariable binomial weighted logistic regressions examined associations between concurrent utilisation and sociodemographic, lifestyle, health, health services utilisation, security and social support factors.</p>
</sec>
<sec>
<title>Results</title>
<p>Approximately one in three Swiss residents were concurrent screening users. Concurrent utilisation increased with age and frequent medical visits. Among females, concurrent utilisation was positively associated with living in French- or Italian-speaking Switzerland and having tertiary education, and negatively associated with being divorced, separated or widowed, and with non-European origin. Among males, concurrent utilisation was positively associated with income, and negatively associated with unhealthy lifestyles, low health concern, and higher health insurance deductibles.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Further research is needed to clarify the factors underlying differences in screening behaviours. Given the temporal instability of these behaviours, the findings should be interpreted cautiously.</p>
</sec>
</abstract>
<kwd-group>
<kwd>cancer screening</kwd>
<kwd>concurrent utilisation</kwd>
<kwd>factors</kwd>
<kwd>population-based</kwd>
<kwd>screening uptake</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>Universit&#xe9; de Lausanne</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100006390</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. The publication of this article was financially supported by the CHUV/FBM-UNIL/Unisant&#x00E9; (open access publication).</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="66"/>
<page-count count="16"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>The health and economic burden associated with cancer, such as potential years of life lost (PYLL), loss of productivity, or costs of treatment, represents a major public health problem in many countries [<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>].</p>
<p>In Switzerland, cancer accounts for the highest number of PYLL before age 70 [<xref ref-type="bibr" rid="B4">4</xref>](p.17) and is the second leading cause of death [<xref ref-type="bibr" rid="B5">5</xref>]. Prostate and breast cancers are the most commonly diagnosed cancers among men and women, respectively, followed by lung cancer, colorectal cancer, and melanoma [<xref ref-type="bibr" rid="B6">6</xref>]. Cervical cancer, although less common, remains a health concern, particularly among women who do not participate in Human Papillomavirus (HPV) vaccination and screening. While age-standardised incidence rates for most cancers are expected to stabilise by 2025, a large increase in the number of new cases across all cancer types is predicted, driven by population aging and growth [<xref ref-type="bibr" rid="B7">7</xref>].</p>
<p>Screening is an effective means to reduce the burden of several common cancers [<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>]. Current screening recommendations for the most common cancer types in Switzerland are outlined hereafter. For breast cancer, biennial mammography screening is recommended for women aged 50&#x2013;74 [<xref ref-type="bibr" rid="B13">13</xref>]. Colorectal cancer screening is recommended for women and men aged 50&#x2013;74, using either colonoscopy every 10 years or biennial faecal occult blood test (FOBT) [<xref ref-type="bibr" rid="B14">14</xref>]. Cervical cancer screening with a Papanicolaou (Pap) smear is recommended from age 21, and HPV testing from age 30, with screening continued every 3&#xa0;years until age 70 [<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>]. For prostate cancer screening, there is no consensus in Switzerland; however, some experts and the Swiss Urology Society recommend offering PSA-guided screening to men aged 50&#x2013;69 within a shared decision-making process [<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>], in line with the recommendations of the European Association of Urology [<xref ref-type="bibr" rid="B19">19</xref>]. The recommended frequency of screening varies according to risk category but is 2 years for most individuals [<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>]. Lung cancer screening is recommended with a LDCT for high-risk individuals [<xref ref-type="bibr" rid="B22">22</xref>]. Despite its high incidence of melanoma,4(p.43), [<xref ref-type="bibr" rid="B23">23</xref>] there is no recommendation for skin cancer screening in Switzerland. However, it has participated in the annual Euromelanoma campaigns since their inception, with a National Skin Cancer Screening Day [<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>].</p>
<p>In Switzerland, not all recommended screening tests are necessarily reimbursed [<xref ref-type="bibr" rid="B26">26</xref>]. The costs of tests for the early detection of cancer in the general population (not high-risk groups) are covered by the universal Swiss health insurance under specific conditions: two annual Pap smear for cervical cancer screening are covered for women aged 21&#x2013;70, and then in case of normal results, every 3 years; a mammography as part of an organised programme from age 50 is covered without deductible every 2&#xa0;years, and a colonoscopy or a FOBT between age 50&#x2013;74 (50&#x2013;69 at the time of the study) are covered every 10 or 2&#xa0;years, respectively (if it is part of an organised cantonal programme, no deductible is charged) [<xref ref-type="bibr" rid="B27">27</xref>]. (art. 12e) An opportunistic mammography for breast cancer screening is thus not covered (except for high-risk women) while colorectal cancer screening is covered when opportunistic or organised. Population-based, regional programmes exist only for breast and colorectal cancer screening, and participation in these organised programmes is recommended over opportunistic screening. However, as healthcare is primarily organised and delivered by the cantons (i.e., administrative states), the availability of breast and colorectal screening programmes varies from canton to canton [<xref ref-type="bibr" rid="B28">28</xref>]. Thus, for most types of cancer, screening occurs opportunistically in the general population.</p>
<p>Studies, in Switzerland and beyond, have found numerous factors associated with cancer screening utilisation, including socioeconomic factors [<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>], ethnic or racial background [<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B36">36</xref>], living in rural areas [<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B32">32</xref>], health behaviours [<xref ref-type="bibr" rid="B37">37</xref>], health services utilisation [<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B35">35</xref>], and health insurance coverage [<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B38">38</xref>]. Current evidence on cancer screening behaviour also supports the hypothesis of complementarity between cancer screenings, with individuals undergoing one type of screening being more likely to participate in other cancer screenings [<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B39">39</xref>&#x2013;<xref ref-type="bibr" rid="B42">42</xref>].</p>
<p>Fewer studies have examined the use of concurrent (i.e., multiple) cancer screenings [<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B43">43</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>], reporting wide variations in the proportion of individuals using multiple screenings. Non-utilisation of concurrent cancer screenings has been reported to be associated with socioeconomics factors, such as low education, high social deprivation [<xref ref-type="bibr" rid="B45">45</xref>&#x2013;<xref ref-type="bibr" rid="B48">48</xref>], and ethnic background [<xref ref-type="bibr" rid="B49">49</xref>], as well as low self-rated health status [<xref ref-type="bibr" rid="B45">45</xref>], albeit the association of comorbidities with concurrent utilisation of cancer screenings appears unclear [<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>]. Overall, these social inequalities in preventive health-seeking behaviours contribute to broader social health inequalities.</p>
<p>However, practices of cancer screening differ considerably between countries. In Switzerland, studies have reported temporal and mainly regional variations in utilisation of breast, colorectal and prostate cancer screenings [<xref ref-type="bibr" rid="B50">50</xref>&#x2013;<xref ref-type="bibr" rid="B52">52</xref>]. However, to date, no information is available on the extent and factors associated with concurrent screening among Swiss residents.</p>
<p>Using data from the nationwide 2017 Swiss Health Survey (SHS), we aimed to determine the proportion of concurrent utilisation of cancer screenings and identify factors associated with it. Understanding patterns of multiple screening could identify gaps in preventive care delivery and population groups who may benefit from targeted interventions, guiding the development of effective strategies to optimise cancer screening utilisation and ultimately reduce social health inequalities.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec id="s2-1">
<title>Data source</title>
<p>The SHS is a cross-sectional, nationwide, population-based quantitative survey conducted every 5&#xa0;years by the Federal Statistics Office (FSO), using a random sample of the permanent resident population aged 15 [<xref ref-type="bibr" rid="B53">53</xref>]. The FSO stratifies the sample by canton and weights the results by region of residence, age, sex, nationality, marital status, and household size in order to have a representative sample of the Swiss population across all linguistic regions. Information is collected through a telephone interview or, in case of difficulties to answer, through a face-to-face or a proxy interview, followed by a written questionnaire (except for proxy interviews). In 2017, 22,134 of 43,769 (51%) contacted individuals participated in a telephone (21,205), face-to-face (20) or proxy (909) interview between 16 January and 22 December 2017. Of the 21,225 individuals invited to fill the written questionnaire, 18,832 (89%) completed it. The interview and written questionnaires are available on the FSO website [<xref ref-type="bibr" rid="B54">54</xref>].</p>
<p>The analysis was restricted to participants aged 50&#x2013;69 who completed both the telephone interview and written questionnaire. This restriction ensured alignment with the target age range of most cancer screening guidelines [<xref ref-type="bibr" rid="B55">55</xref>], allowed inclusion of security support data (available in the written questionnaire), and minimised potential bias from face-to-face or proxy interviews.</p>
</sec>
<sec id="s2-2">
<title>Concurrent utilisation of cancer screenings</title>
<p>The 2017 SHS collected screening information for breast, colorectal, prostate, cervical and skin cancers. In order to target the profiles of regular users more accurately, the utilisation of a cancer screening was defined as the last self-reported preventive test performed within recommended intervals in Switzerland: a mammography within the past 2 years for breast cancer [<xref ref-type="bibr" rid="B13">13</xref>]; a colonoscopy or faecal occult blood test (FOBT) within the past 10 or 2&#xa0;years for colorectal cancer [<xref ref-type="bibr" rid="B14">14</xref>]; a prostate-specific antigen (PSA) test or digital rectal exam within the past 2&#xa0;years for prostate cancer [<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B33">33</xref>]; a Pap test within the past 3&#xa0;years for cervical cancer [<xref ref-type="bibr" rid="B15">15</xref>]. As there is no recommendation about frequency of visual inspection for skin cancer in the Swiss general population, a limit was set arbitrarily at 5&#xa0;years.</p>
<p>In the absence of a standard definition, concurrent utilisation was defined as the maximum number of recommended screening tests minus one, avoiding overly restrictive criteria given the lack of formal skin cancer screening recommendations. Concurrent utilisation is thus a proxy for multiple utilisation patterns. For females, the primary outcome measure was concurrent utilisation of breast, colorectal, cervical, and skin cancer screenings (two or fewer screenings as reference; three or four screenings as concurrent utilisation). For males, the primary outcome measure was concurrent utilisation of colorectal, prostate, and skin cancer screenings (one or fewer screenings as reference; two or three screenings as concurrent utilisation).</p>
</sec>
<sec id="s2-3">
<title>Statistical analyses</title>
<p>Five sets of covariates, identified from the available literature as potentially associated with cancer screening utilisation, were included: sociodemographic, lifestyle, health, health services utilisation, and social security and support factors.</p>
<p>All analyses were performed separately by sex assigned at birth (female/male). Age was centred on the mean, and other continuous variables were categorised according to their distribution. For each covariate, missing values (22.8% and 18.7% in total across all covariates for females and males, respectively) were included as a separate category (not displayed) in multivariable analyses.</p>
<p>Multicollinearity between all pairs of variables was assessed using Spearman rank correlation test (cut-off 0.5) before model fitting. When two highly correlated variables measured the same underlying dimension, the most informative variable (e.g., number of medical visits rather than having ever had one medical visit in the past year) was retained in multivariable analyses to keep models parsimonious and maximise statistical power.</p>
<p>The sampling weight of the written survey, as recommended by the FSO, was applied in all analyses to ensure proportional representation of the Swiss population in terms of region of residence, age, sex, and socioeconomic status[<xref ref-type="bibr" rid="B53">53</xref>] (p.20). Descriptive statistics are presented as unweighted counts, weighted counts, and weighted percentages with 95% confidence intervals (CI).</p>
<p>Multivariable binomial weighted logistic regression models were first performed separately for each set of covariates to examine the association between concurrent utilisation and each set-specific covariates. For each set-specific model, a backward stepwise selection procedure was applied. Variables showing a significant association with the outcome at the Akaike information criterion threshold (p &#x3c; 0.157) [<xref ref-type="bibr" rid="B56">56</xref>&#x2013;<xref ref-type="bibr" rid="B58">58</xref>] were retained in the set-specific model. For each variable removed by this procedure, a Wald test was performed to assess whether its inclusion would improve model fit. Variables showing a significant improvement (p &#x3c; 0.05), were retained in the set-specific model.</p>
<p>All variables retained in the set-specific models were included to build a final combined model encompassing the five set of covariates. Multivariable binomial weighted logistic regression models were performed separately for females and males to examine the associations between concurrent utilisation and each covariate, following the same methodology described above for the set-specific models. In addition, all variables removed at the initial step (set-specific models) were reassessed using a Wald test, and included in the final model if they showed a significant effect [<xref ref-type="bibr" rid="B56">56</xref>]. For each model, adjusted odds ratios (aORs) and 95% CI were calculated. Data were analysed using Stata 17.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>Three thousand four hundred and thirty-six females and 3,081 males aged 50&#x2013;69 completed both the telephone interview and written questionnaire, representing 1,091,813 and 1,072,940 Swiss female and male residents, respectively. <xref ref-type="table" rid="T1">Table 1</xref> summarises the characteristics of each target population. The most represented categories were being aged 50&#x2013;54, married, employed and Swiss, having achieved secondary education and an annual deductible of 300 Swiss Francs (CHF), and living in German-speaking Switzerland, in an urban area, as a couple without children. Most females and males were relatively healthy, which was consistent with the higher proportion of individuals who reported paying attention to their lifestyle to maintain health and who perceived their health as very good or good. Most females and males reported having had at least one medical visit and no hospitalisation in the past year, as well as moderate or high social support. Differences between the sexes were also observed. The most frequently reported equivalised disposable income (EDI) (i.e., net monthly income adjusted for household size) was CHF 3,000&#x2013;4,499 among females and CHF 6,000 or higher among males (1 CHF &#x2248;1.07 Euro &#x2248;1.25 US Dollar as of January 2026). Females more frequently reported consuming 3-4 portions of fruit and/or vegetables per day, whereas intake was lower among males. Most females had a normal weight, whereas the most represented category among males was overweight.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Characteristics of female and male participants aged 50&#x2013;69 (Swiss Health Survey, Switzerland, 2017).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">&#x200b;</th>
<th colspan="4" align="center">Females</th>
<th colspan="4" align="center">Males</th>
</tr>
<tr>
<th align="left">&#x200b;</th>
<th align="center">Missing values</th>
<th align="center">Unweighted count</th>
<th align="center">Weighted count</th>
<th align="center">Weighted % (95% CI)</th>
<th align="center">Missing values</th>
<th align="center">Unweighted count</th>
<th align="center">Weighted count</th>
<th align="center">Weighted % (95% CI)</th>
</tr>
<tr>
<th align="left">&#x200b;</th>
<th align="center">&#x200b;</th>
<th align="center">3,436</th>
<th align="center">1,091,813</th>
<th align="center">&#x200b;</th>
<th align="center">&#x200b;</th>
<th align="center">3,081</th>
<th align="center">1,072,940</th>
<th align="center">&#x200b;</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<th colspan="9" align="left">Socio-demographics</th>
</tr>
<tr>
<td align="left">Age groups</td>
<td align="center">0</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">0</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;50&#x2013;54 years</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">960</td>
<td align="center">327,494</td>
<td align="center">30.0 (28.2&#x2013;31.9)</td>
<td align="center">&#x200b;</td>
<td align="center">965</td>
<td align="center">348,759</td>
<td align="center">32.5 (30.5&#x2013;34.5)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;55&#x2013;59 years</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">884</td>
<td align="center">277,062</td>
<td align="center">25.4 (23.7&#x2013;27.2)</td>
<td align="center">&#x200b;</td>
<td align="center">778</td>
<td align="center">277,242</td>
<td align="center">25.8 (24.0&#x2013;27.7)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;60&#x2013;65 years</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">849</td>
<td align="center">260,360</td>
<td align="center">23.8 (22.2&#x2013;25.6)</td>
<td align="center">&#x200b;</td>
<td align="center">716</td>
<td align="center">252,619</td>
<td align="center">23.5 (21.8&#x2013;25.4)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;65&#x2013;69 years</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">743</td>
<td align="center">226,898</td>
<td align="center">20.8 (19.2&#x2013;22.4)</td>
<td align="center">&#x200b;</td>
<td align="center">622</td>
<td align="center">194,320</td>
<td align="center">18.1 (16.6&#x2013;19.7)</td>
</tr>
<tr>
<td align="left">Education<xref ref-type="table-fn" rid="Tfn1">
<sup>1</sup>
</xref>
</td>
<td align="center">9</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">5</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Primary</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">600</td>
<td align="center">193,443</td>
<td align="center">17.8 (16.3&#x2013;19.4)</td>
<td align="center">&#x200b;</td>
<td align="center">292</td>
<td align="center">111,369</td>
<td align="center">10.4 (9.1&#x2013;11.8)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Secondary</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,989</td>
<td align="center">621,870</td>
<td align="center">57.2 (55.2&#x2013;59.1)</td>
<td align="center">&#x200b;</td>
<td align="center">1,445</td>
<td align="center">495,886</td>
<td align="center">46.3 (44.2&#x2013;48.4)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Tertiary</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">838</td>
<td align="center">272,746</td>
<td align="center">25.1 (23.4&#x2013;26.9)</td>
<td align="center">&#x200b;</td>
<td align="center">1,339</td>
<td align="center">464,040</td>
<td align="center">43.3 (41.3&#x2013;45.4)</td>
</tr>
<tr>
<td align="left">Marital status</td>
<td align="center">0</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">0</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Single</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">330</td>
<td align="center">113,584</td>
<td align="center">10.4 (9.2&#x2013;11.7)</td>
<td align="center">&#x200b;</td>
<td align="center">312</td>
<td align="center">132,009</td>
<td align="center">12.3 (10.9&#x2013;13.9)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Married</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">2,285</td>
<td align="center">686,316</td>
<td align="center">62.9 (60.9&#x2013;64.8)</td>
<td align="center">&#x200b;</td>
<td align="center">2,318</td>
<td align="center">755,242</td>
<td align="center">70.4 (68.3&#x2013;72.4)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Divorced or separated</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">604</td>
<td align="center">223,471</td>
<td align="center">20.5 (18.8&#x2013;22.2)</td>
<td align="center">&#x200b;</td>
<td align="center">407</td>
<td align="center">170,327</td>
<td align="center">15.9 (14.3&#x2013;17.6)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Widowed</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">217</td>
<td align="center">68,441</td>
<td align="center">6.3 (5.4&#x2013;7.3)</td>
<td align="center">&#x200b;</td>
<td align="center">44</td>
<td align="center">15,362</td>
<td align="center">1.4 (1.0&#x2013;2.0)</td>
</tr>
<tr>
<td align="left">Occupation</td>
<td align="center">2</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">2</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Economically inactive</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,258</td>
<td align="center">377,894</td>
<td align="center">34.6 (32.8&#x2013;36.5)</td>
<td align="center">&#x200b;</td>
<td align="center">693</td>
<td align="center">234,205</td>
<td align="center">21.8 (20.2&#x2013;23.6)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Unemployed or homemaker</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">42</td>
<td align="center">15,581</td>
<td align="center">1.4 (1.0&#x2013;2.1)</td>
<td align="center">&#x200b;</td>
<td align="center">48</td>
<td align="center">19,780</td>
<td align="center">1.8 (1.3&#x2013;2.6)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Employed</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">2,134</td>
<td align="center">697,446</td>
<td align="center">63.9 (62.0&#x2013;65.8)</td>
<td align="center">&#x200b;</td>
<td align="center">2,338</td>
<td align="center">818,209</td>
<td align="center">76.3 (74.5&#x2013;78.0)</td>
</tr>
<tr>
<td align="left">Nationality</td>
<td align="center">0</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">0</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Swiss</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">3,049</td>
<td align="center">911,708</td>
<td align="center">83.5 (81.8&#x2013;85.1)</td>
<td align="center">&#x200b;</td>
<td align="center">2,555</td>
<td align="center">847,387</td>
<td align="center">79.0 (77.1&#x2013;80.7)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Northern and western European</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">133</td>
<td align="center">66,636</td>
<td align="center">6.1 (5.0&#x2013;7.4)</td>
<td align="center">&#x200b;</td>
<td align="center">185</td>
<td align="center">90,873</td>
<td align="center">8.5 (7.2&#x2013;9.9)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;South-western European</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">174</td>
<td align="center">73,534</td>
<td align="center">6.7 (5.7&#x2013;7.9)</td>
<td align="center">&#x200b;</td>
<td align="center">226</td>
<td align="center">81,401</td>
<td align="center">7.6 (6.6&#x2013;8.7)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Eastern and south-eastern European</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">63</td>
<td align="center">32,796</td>
<td align="center">3.0 (2.3&#x2013;3.9)</td>
<td align="center">&#x200b;</td>
<td align="center">91</td>
<td align="center">42,150</td>
<td align="center">3.9 (3.2&#x2013;4.8)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Non-European</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">17</td>
<td align="center">7,139</td>
<td align="center">0.7 (0.4&#x2013;1.1)</td>
<td align="center">&#x200b;</td>
<td align="center">24</td>
<td align="center">11,129</td>
<td align="center">1.0 (0.7&#x2013;1.6)</td>
</tr>
<tr>
<td align="left">Linguistic region</td>
<td align="center">0</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">0</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;German-speaking</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">2,283</td>
<td align="center">786,665</td>
<td align="center">72.1 (70.5&#x2013;73.5)</td>
<td align="center">&#x200b;</td>
<td align="center">2,111</td>
<td align="center">788,378</td>
<td align="center">73.5 (71.9&#x2013;75.0)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;French-speaking</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">885</td>
<td align="center">253,491</td>
<td align="center">23.2 (21.8&#x2013;24.7)</td>
<td align="center">&#x200b;</td>
<td align="center">741</td>
<td align="center">236,147</td>
<td align="center">22.0 (20.5&#x2013;23.6)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Italian-speaking</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">268</td>
<td align="center">51,657</td>
<td align="center">4.7 (4.2&#x2013;5.4)</td>
<td align="center">&#x200b;</td>
<td align="center">229</td>
<td align="center">48,415</td>
<td align="center">4.5 (3.9&#x2013;5.2)</td>
</tr>
<tr>
<td align="left">Region of residence<xref ref-type="table-fn" rid="Tfn2">
<sup>2</sup>
</xref>
</td>
<td align="center">0</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">0</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Urban</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,922</td>
<td align="center">652,735</td>
<td align="center">59.8 (57.8&#x2013;61.7)</td>
<td align="center">&#x200b;</td>
<td align="center">1,707</td>
<td align="center">648,430</td>
<td align="center">60.4 (58.4&#x2013;62.4)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Dense suburbs and rural centres</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">774</td>
<td align="center">240,350</td>
<td align="center">22.0 (20.4&#x2013;23.7)</td>
<td align="center">&#x200b;</td>
<td align="center">717</td>
<td align="center">236,713</td>
<td align="center">22.1 (20.4&#x2013;23.8)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Rural</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">740</td>
<td align="center">198,728</td>
<td align="center">18.2 (16.8&#x2013;19.7)</td>
<td align="center">&#x200b;</td>
<td align="center">657</td>
<td align="center">187,797</td>
<td align="center">17.5 (16.1&#x2013;19.1)</td>
</tr>
<tr>
<td align="left">Household type</td>
<td align="center">0</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">1</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Single individual</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">734</td>
<td align="center">264,441</td>
<td align="center">24.2 (22.5&#x2013;26.1)</td>
<td align="center">&#x200b;</td>
<td align="center">467</td>
<td align="center">200,025</td>
<td align="center">18.6 (17.0&#x2013;20.5)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Couple without children</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,625</td>
<td align="center">487,369</td>
<td align="center">44.6 (42.7&#x2013;46.6)</td>
<td align="center">&#x200b;</td>
<td align="center">1,379</td>
<td align="center">458,447</td>
<td align="center">42.7 (40.7&#x2013;44.8)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Couple with children</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">796</td>
<td align="center">246,903</td>
<td align="center">22.6 (21.0&#x2013;24.3)</td>
<td align="center">&#x200b;</td>
<td align="center">1,075</td>
<td align="center">352,696</td>
<td align="center">32.9 (31.0&#x2013;34.8)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Single parent with children</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">224</td>
<td align="center">75,205</td>
<td align="center">6.9 (5.9&#x2013;8.0)</td>
<td align="center">&#x200b;</td>
<td align="center">90</td>
<td align="center">35,427</td>
<td align="center">3.3 (2.6&#x2013;4.3)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Multi-family household or non-family household with several individuals</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">57</td>
<td align="center">17,895</td>
<td align="center">1.6 (1.2&#x2013;2.2)</td>
<td align="center">&#x200b;</td>
<td align="center">69</td>
<td align="center">26,193</td>
<td align="center">2.4 (1.9&#x2013;3.2)</td>
</tr>
<tr>
<td align="left">Equivalised disposable income<xref ref-type="table-fn" rid="Tfn3">
<sup>3</sup>
</xref>
</td>
<td align="center">360</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">210</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x3c; CHF 3,000</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">638</td>
<td align="center">205,954</td>
<td align="center">21.2 (19.5&#x2013;23-0)</td>
<td align="center">&#x200b;</td>
<td align="center">473</td>
<td align="center">160,257</td>
<td align="center">16.1 (14.6&#x2013;17.8)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;CHF 3,000&#x2013;4,499</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">976</td>
<td align="center">300,522</td>
<td align="center">31.0 (29.1&#x2013;33.0)</td>
<td align="center">&#x200b;</td>
<td align="center">808</td>
<td align="center">262,960</td>
<td align="center">26.5 (24.7&#x2013;28.4)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;CHF 4,500&#x2013;5,999</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">679</td>
<td align="center">212,667</td>
<td align="center">21.9 (20.2&#x2013;23.7)</td>
<td align="center">&#x200b;</td>
<td align="center">661</td>
<td align="center">224,605</td>
<td align="center">22.6 (20.9&#x2013;24.5)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x2265; CHF 6,000</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">783</td>
<td align="center">251,031</td>
<td align="center">25.9 (24.1&#x2013;27.8)</td>
<td align="center">&#x200b;</td>
<td align="center">929</td>
<td align="center">344,548</td>
<td align="center">34.7 (32.7&#x2013;36.8)</td>
</tr>
<tr>
<th colspan="9" align="left">Lifestyle</th>
</tr>
<tr>
<td align="left">Physical activity<xref ref-type="table-fn" rid="Tfn4">
<sup>4</sup>
</xref>
</td>
<td align="center">74</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Inactive</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">247</td>
<td align="center">80,592</td>
<td align="center">7.6 (6.5&#x2013;8.7)</td>
<td align="center">42</td>
<td align="center">249</td>
<td align="center">91,787</td>
<td align="center">8.7 (7.6&#x2013;10.0)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Partially active</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">552</td>
<td align="center">178,121</td>
<td align="center">16.7 (15.2&#x2013;18.3)</td>
<td align="center">&#x200b;</td>
<td align="center">495</td>
<td align="center">163,207</td>
<td align="center">15.5 (14.0&#x2013;17.0)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Sufficiently active</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">2,563</td>
<td align="center">807,652</td>
<td align="center">75.7 (74.0&#x2013;77.4)</td>
<td align="center">&#x200b;</td>
<td align="center">2,295</td>
<td align="center">800,524</td>
<td align="center">75.8 (74.0&#x2013;77.6)</td>
</tr>
<tr>
<td align="left">Fruit and/or vegetables consumption</td>
<td align="center">12</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">18</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x3c; 5 days per week</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">161</td>
<td align="center">53,672</td>
<td align="center">4.9 (4.1&#x2013;5.9)</td>
<td align="center">&#x200b;</td>
<td align="center">401</td>
<td align="center">144,422</td>
<td align="center">13.5 (12.1&#x2013;15.1)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;0&#x2013;2 portions per day &#x2265; 5 days per week</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">902</td>
<td align="center">296,674</td>
<td align="center">27.3 (25.5&#x2013;29.1)</td>
<td align="center">&#x200b;</td>
<td align="center">1,329</td>
<td align="center">459,964</td>
<td align="center">43.1 (41.0&#x2013;45.2)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;3&#x2013;4 portions per day &#x2265; 5 days per week</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,287</td>
<td align="center">401,925</td>
<td align="center">36.9 (35.0&#x2013;38.9)</td>
<td align="center">&#x200b;</td>
<td align="center">933</td>
<td align="center">326,415</td>
<td align="center">30.6 (28.7&#x2013;32.6)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x2265;5 portions per day &#x2265; 5 days per week</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,074</td>
<td align="center">335,502</td>
<td align="center">30.8 (29.0&#x2013;32.7)</td>
<td align="center">&#x200b;</td>
<td align="center">400</td>
<td align="center">136,234</td>
<td align="center">12.8 (11.5&#x2013;14.2)</td>
</tr>
<tr>
<td align="left">Alcohol consumption<xref ref-type="table-fn" rid="Tfn5">
<sup>5</sup>
</xref>
</td>
<td align="center">2</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">0</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Abstainer</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">575</td>
<td align="center">191,695</td>
<td align="center">17.6 (16.1&#x2013;19.2)</td>
<td align="center">&#x200b;</td>
<td align="center">287</td>
<td align="center">116,452</td>
<td align="center">10.9 (9.5&#x2013;12.3)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Low risk</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">2,703</td>
<td align="center">855,232</td>
<td align="center">78.4 (76.7&#x2013;80.0)</td>
<td align="center">&#x200b;</td>
<td align="center">2,618</td>
<td align="center">894,393</td>
<td align="center">83.4 (81.6&#x2013;84.9)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Moderate or high risk</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">156</td>
<td align="center">44,550</td>
<td align="center">4.1 (3.4&#x2013;4.9)</td>
<td align="center">&#x200b;</td>
<td align="center">176</td>
<td align="center">62,096</td>
<td align="center">5.8 (4.8&#x2013;6.9)</td>
</tr>
<tr>
<td align="left">Smoking status</td>
<td align="center">1</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">0</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Never</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,708</td>
<td align="center">544,200</td>
<td align="center">49.9 (47.9&#x2013;51.9)</td>
<td align="center">&#x200b;</td>
<td align="center">1,244</td>
<td align="center">420,451</td>
<td align="center">39.2 (37.2&#x2013;41.2)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Ex-smoker</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">949</td>
<td align="center">295,478</td>
<td align="center">27.1 (25.3&#x2013;28.9)</td>
<td align="center">&#x200b;</td>
<td align="center">1,017</td>
<td align="center">354,387</td>
<td align="center">33.0 (31.1&#x2013;35.0)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Smoker</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">778</td>
<td align="center">251,854</td>
<td align="center">23.1 (21.4&#x2013;24.8)</td>
<td align="center">&#x200b;</td>
<td align="center">820</td>
<td align="center">298,103</td>
<td align="center">27.8 (25.9&#x2013;29.7)</td>
</tr>
<tr>
<th colspan="9" align="left">
<italic>Health</italic>
</th>
</tr>
<tr>
<td align="left">Body mass index<xref ref-type="table-fn" rid="Tfn6">
<sup>6</sup>
</xref>
</td>
<td align="center">26</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">13</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Underweight</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">137</td>
<td align="center">39,680</td>
<td align="center">3.7 (3.0&#x2013;4.4)</td>
<td align="center">&#x200b;</td>
<td align="center">10</td>
<td align="center">3,438</td>
<td align="center">0.3 (0.1&#x2013;0.7)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Normal weight</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,889</td>
<td align="center">593,967</td>
<td align="center">54.8 (52.8&#x2013;56.8)</td>
<td align="center">&#x200b;</td>
<td align="center">1,186</td>
<td align="center">421,940</td>
<td align="center">39.5 (37.4&#x2013;41.5)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Overweight</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">942</td>
<td align="center">301,975</td>
<td align="center">27.9 (26.1&#x2013;29.7)</td>
<td align="center">&#x200b;</td>
<td align="center">1,379</td>
<td align="center">469,160</td>
<td align="center">43.9 (41.8&#x2013;46.0)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Obese</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">442</td>
<td align="center">148,480</td>
<td align="center">13.7 (12.3&#x2013;15.2)</td>
<td align="center">&#x200b;</td>
<td align="center">493</td>
<td align="center">174,847</td>
<td align="center">16.4 (14.8&#x2013;18.0)</td>
</tr>
<tr>
<td align="left">Chronic disease or long-term health problem</td>
<td align="center">11</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">7</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;No</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">2,011</td>
<td align="center">626,173</td>
<td align="center">57.5 (55.5&#x2013;59.5)</td>
<td align="center">&#x200b;</td>
<td align="center">1,907</td>
<td align="center">649,575</td>
<td align="center">60.7 (58.6&#x2013;62.7)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Yes</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,414</td>
<td align="center">462,082</td>
<td align="center">42.5 (40.5&#x2013;44.5)</td>
<td align="center">&#x200b;</td>
<td align="center">1,167</td>
<td align="center">420,792</td>
<td align="center">39.3 (37.3&#x2013;41.4)</td>
</tr>
<tr>
<td align="left">Cancer in the past year</td>
<td align="center">3</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">5</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;No</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">3,363</td>
<td align="center">1,070,841</td>
<td align="center">98.2 (97.6&#x2013;98.6)</td>
<td align="center">&#x200b;</td>
<td align="center">3,004</td>
<td align="center">1,045,936</td>
<td align="center">97.7 (97.0&#x2013;98.2)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Yes</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">70</td>
<td align="center">19,697</td>
<td align="center">1.8 (1.4&#x2013;2.4)</td>
<td align="center">&#x200b;</td>
<td align="center">72</td>
<td align="center">24,604</td>
<td align="center">2.3 (1.8&#x2013;3.0)</td>
</tr>
<tr>
<td align="left">Self-reported health</td>
<td align="center">2</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">3</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Very good or good</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">2,797</td>
<td align="center">881,095</td>
<td align="center">80.7 (79.1&#x2013;82.3)</td>
<td align="center">&#x200b;</td>
<td align="center">2,519</td>
<td align="center">868,718</td>
<td align="center">81.1 (79.3&#x2013;82.7)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Medium</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">497</td>
<td align="center">162,633</td>
<td align="center">14.9 (13.5&#x2013;16.4)</td>
<td align="center">&#x200b;</td>
<td align="center">399</td>
<td align="center">140,522</td>
<td align="center">13.1 (11.8&#x2013;14.6)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Bad or very bad</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">140</td>
<td align="center">47,490</td>
<td align="center">4.4 (3.6&#x2013;5.3)</td>
<td align="center">&#x200b;</td>
<td align="center">160</td>
<td align="center">62,394</td>
<td align="center">5.8 (4.9&#x2013;7.0)</td>
</tr>
<tr>
<td align="left">Importance of one&#x2019;s health</td>
<td align="center">48</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">32</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Lives without concern of health</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">271</td>
<td align="center">84,116</td>
<td align="center">7.8 (6.8&#x2013;8.9)</td>
<td align="center">&#x200b;</td>
<td align="center">375</td>
<td align="center">128,323</td>
<td align="center">12.1 (10.8&#x2013;13.5)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Lifestyle to maintain health</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">2,370</td>
<td align="center">754,556</td>
<td align="center">70.2 (68.3&#x2013;72.0)</td>
<td align="center">&#x200b;</td>
<td align="center">2,100</td>
<td align="center">729,549</td>
<td align="center">68.7 (66.7&#x2013;70.6)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Health consideration determines a lot of one&#x2019;s life</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">747</td>
<td align="center">236,350</td>
<td align="center">22.0 (20.4&#x2013;23.7)</td>
<td align="center">&#x200b;</td>
<td align="center">574</td>
<td align="center">203,996</td>
<td align="center">19.2 (17.6&#x2013;20.9)</td>
</tr>
<tr>
<th colspan="9" align="left">Health services utilisation</th>
</tr>
<tr>
<td align="left">Medical visit in the past year</td>
<td align="center">0</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">2</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;No</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">455</td>
<td align="center">140,564</td>
<td align="center">12.9 (11.6&#x2013;14.3)</td>
<td align="center">&#x200b;</td>
<td align="center">704</td>
<td align="center">241,346</td>
<td align="center">22.5 (20.8&#x2013;24.3)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Yes</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">2,981</td>
<td align="center">951,249</td>
<td align="center">87.1 (85.7&#x2013;88.4)</td>
<td align="center">&#x200b;</td>
<td align="center">2,375</td>
<td align="center">830,857</td>
<td align="center">77.5 (75.7&#x2013;79.2)</td>
</tr>
<tr>
<td align="left">Number of medical visits in the past year</td>
<td align="center">26</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">8</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;0&#x2013;1</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">932</td>
<td align="center">290,146</td>
<td align="center">26.8 (25.1&#x2013;28.6)</td>
<td align="center">&#x200b;</td>
<td align="center">1,270</td>
<td align="center">428,679</td>
<td align="center">40.1 (38.0&#x2013;42.1)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;2&#x2013;3</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">995</td>
<td align="center">306,715</td>
<td align="center">28.3 (26.6&#x2013;30.1)</td>
<td align="center">&#x200b;</td>
<td align="center">803</td>
<td align="center">283,337</td>
<td align="center">26.5 (24.7&#x2013;28.4)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;4&#x2013;5</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">615</td>
<td align="center">202,302</td>
<td align="center">18.7 (17.2&#x2013;20.3)</td>
<td align="center">&#x200b;</td>
<td align="center">432</td>
<td align="center">153,242</td>
<td align="center">14.3 (12.9&#x2013;15.9)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;</italic>&#x003e;5</td>
<td align="center">&#x200b;</td>
<td align="center">868</td>
<td align="center">283,564</td>
<td align="center">26.2 (24.5&#x2013;28.0)</td>
<td align="center">&#x200b;</td>
<td align="center">568</td>
<td align="center">204,741</td>
<td align="center">19.1 (17.5&#x2013;20.9)</td>
</tr>
<tr>
<td align="left">Hospitalisation in the past year</td>
<td align="center">13</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">16</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;No</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">3,033</td>
<td align="center">954,614</td>
<td align="center">87.9 (86.5&#x2013;89.2)</td>
<td align="center">&#x200b;</td>
<td align="center">2,711</td>
<td align="center">939,640</td>
<td align="center">88.0 (86.5&#x2013;89.3)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Yes</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">390</td>
<td align="center">131,376</td>
<td align="center">12.1 (10.8&#x2013;13.5)</td>
<td align="center">&#x200b;</td>
<td align="center">354</td>
<td align="center">128,388</td>
<td align="center">12.0 (10.7&#x2013;13.5)</td>
</tr>
<tr>
<th colspan="9" align="left">
<italic>S</italic>ecurity and social supports</th>
</tr>
<tr>
<td align="left">Social support (Oslo 3-item scale)<xref ref-type="table-fn" rid="Tfn7">
<sup>7</sup>
</xref>
</td>
<td align="center">147</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">124</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Low</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">369</td>
<td align="center">124,991</td>
<td align="center">12.0 (10.7&#x2013;13.4)</td>
<td align="center">&#x200b;</td>
<td align="center">331</td>
<td align="center">125,306</td>
<td align="center">12.2 (10.8&#x2013;13.7)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Moderate</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,451</td>
<td align="center">465,479</td>
<td align="center">44.7 (42.7&#x2013;46.7)</td>
<td align="center">&#x200b;</td>
<td align="center">1,353</td>
<td align="center">469,239</td>
<td align="center">45.7 (43.6&#x2013;47.8)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;High</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,469</td>
<td align="center">451,208</td>
<td align="center">43.3 (41.3&#x2013;45.3)</td>
<td align="center">&#x200b;</td>
<td align="center">1,273</td>
<td align="center">432,511</td>
<td align="center">42.1 (40.0&#x2013;44.2)</td>
</tr>
<tr>
<td align="left">Annual deductible</td>
<td align="center">155</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">149</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;CHF 300</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,568</td>
<td align="center">493,477</td>
<td align="center">47.4 (45.3&#x2013;49.4)</td>
<td align="center">&#x200b;</td>
<td align="center">1,125</td>
<td align="center">383,272</td>
<td align="center">37.5 (35.5&#x2013;39.6)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;CHF 500, 1,000 or 1,500</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,088</td>
<td align="center">350,390</td>
<td align="center">33.6 (31.7&#x2013;35.6)</td>
<td align="center">&#x200b;</td>
<td align="center">977</td>
<td align="center">337,215</td>
<td align="center">33.0 (31.0&#x2013;35.1)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;CHF 2,000 or 2,500</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">625</td>
<td align="center">197,881</td>
<td align="center">19.0 (17.5&#x2013;20.6)</td>
<td align="center">&#x200b;</td>
<td align="center">830</td>
<td align="center">300,677</td>
<td align="center">29.4 (27.5&#x2013;31.5)</td>
</tr>
<tr>
<td align="left">Health insurance model<xref ref-type="table-fn" rid="Tfn8">
<sup>8</sup>
</xref>
</td>
<td align="center">63</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">63</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Ordinary or bonus</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,597</td>
<td align="center">517,446</td>
<td align="center">48.2 (46.2&#x2013;50.2)</td>
<td align="center">&#x200b;</td>
<td align="center">1,530</td>
<td align="center">541,946</td>
<td align="center">51.6 (49.5&#x2013;53.7)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Managed care</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,776</td>
<td align="center">556,110</td>
<td align="center">51.8 (49.8&#x2013;53.8)</td>
<td align="center">&#x200b;</td>
<td align="center">1,488</td>
<td align="center">509,008</td>
<td align="center">48.4 (46.3&#x2013;50.5)</td>
</tr>
<tr>
<td align="left">Last skin screening</td>
<td align="center">8</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">4</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x2265; 5 years or never</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">2,207</td>
<td align="center">700,431</td>
<td align="center">64.3 (62.4&#x2013;66.2)</td>
<td align="center">&#x200b;</td>
<td align="center">2,115</td>
<td align="center">731,239</td>
<td align="center">68.3 (66.3&#x2013;70.2)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x3c; 5 years</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,221</td>
<td align="center">388,250</td>
<td align="center">35.7 (33.8&#x2013;37.6)</td>
<td align="center">&#x200b;</td>
<td align="center">962</td>
<td align="center">339,765</td>
<td align="center">31.7 (29.8&#x2013;33.7)</td>
</tr>
<tr>
<td align="left">Last cervical screening</td>
<td align="center">36</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">-</td>
<td align="center">&#x200b;</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x2265; 3 years or never</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,018</td>
<td align="center">324,786</td>
<td align="center">30.1 (28.3&#x2013;32.0)</td>
<td align="center">&#x200b;</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x3c; 3 years</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">2,382</td>
<td align="center">753,296</td>
<td align="center">69.9 (68.0&#x2013;71.7)</td>
<td align="center">&#x200b;</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Last breast screening</td>
<td align="center">9</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x2265; 2 years or never</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,696</td>
<td align="center">554,692</td>
<td align="center">51.0 (49.0&#x2013;53.0)</td>
<td align="center">&#x200b;</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x3c; 2 years</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,731</td>
<td align="center">532,945</td>
<td align="center">49.0 (47.0&#x2013;51.0)</td>
<td align="center">&#x200b;</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Last colorectal screening</td>
<td align="center">25</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">22</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Colonoscopy &#x2265; 10 years or FOBT &#x2265; 2 years or never</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,899</td>
<td align="center">599,268</td>
<td align="center">55.4 (53.4&#x2013;57.3)</td>
<td align="center">&#x200b;</td>
<td align="center">1,683</td>
<td align="center">596,538</td>
<td align="center">56.1 (54.0&#x2013;58.2)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Colonoscopy &#x3c; 10 years or FOBT &#x3c; 2 years</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,512</td>
<td align="center">483,253</td>
<td align="center">44.6 (42.7&#x2013;46.6)</td>
<td align="center">&#x200b;</td>
<td align="center">1,376</td>
<td align="center">467,067</td>
<td align="center">43.9 (41.8&#x2013;46.0)</td>
</tr>
<tr>
<td align="left">Last prostate screening</td>
<td align="center">&#x200b;</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">15</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x2265; 2 years or never</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x200b;</td>
<td align="center">1,832</td>
<td align="center">647,406</td>
<td align="center">60.6 (58.6&#x2013;62.6)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x3c; 2 years</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x200b;</td>
<td align="center">1,234</td>
<td align="center">420,543</td>
<td align="center">39.4 (37.4&#x2013;41.4)</td>
</tr>
<tr>
<td align="left">Number of cancer screening within recommended intervals</td>
<td align="center">25</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">17</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;0</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">383</td>
<td align="center">116,861</td>
<td align="center">10.8 (9.6&#x2013;12.1)</td>
<td align="center">&#x200b;</td>
<td align="center">942</td>
<td align="center">330,449</td>
<td align="center">31.0 (29.1&#x2013;33.0)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;1</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">746</td>
<td align="center">245,691</td>
<td align="center">22.7 (21.0&#x2013;24.5)</td>
<td align="center">&#x200b;</td>
<td align="center">1,000</td>
<td align="center">355,957</td>
<td align="center">33.4 (31.5&#x2013;35.4)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;2</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,085</td>
<td align="center">347,138</td>
<td align="center">32.1 (30.2&#x2013;34.0)</td>
<td align="center">&#x200b;</td>
<td align="center">794</td>
<td align="center">264,527</td>
<td align="center">24.8 (23.1&#x2013;26.7)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;3</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">858</td>
<td align="center">272,319</td>
<td align="center">25.2 (23.5&#x2013;26.9)</td>
<td align="center">&#x200b;</td>
<td align="center">328</td>
<td align="center">114,121</td>
<td align="center">10.7 (9.5&#x2013;12.1)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;4</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">339</td>
<td align="center">100,205</td>
<td align="center">9.3 (8.2&#x2013;10.4)</td>
<td align="center">&#x200b;</td>
<td align="center">-</td>
<td align="center">&#x200b;</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Concurrent utilisation</td>
<td align="center">25</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">17</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;No</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">2,214</td>
<td align="center">709,690</td>
<td align="center">65.6 (63.7&#x2013;67.4)</td>
<td align="center">&#x200b;</td>
<td align="center">1,942</td>
<td align="center">686,406</td>
<td align="center">64.4 (62.4&#x2013;66.4)</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Yes</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">1,197</td>
<td align="center">372,524</td>
<td align="center">34.4 (32.6&#x2013;36.3)</td>
<td align="center">&#x200b;</td>
<td align="center">1,122</td>
<td align="center">378,648</td>
<td align="center">35.6 (33.6&#x2013;37.6)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CI: confidence interval. FOBT: faecal occult blood test. CHF: Swiss Francs (1 CHF &#x2248;1.07 Euro &#x2248;1.25 US, Dollar as of January 2026).</p>
</fn>
<fn id="Tfn1">
<label>1</label>
<p>Primary: compulsory school. Secondary: high school or apprenticeship. Tertiary education: university, university of applied sciences, or higher vocational education and training institutions.</p>
</fn>
<fn id="Tfn2">
<label>2</label>
<p>Urban: urban municipality in a large, medium-sized or small conurbation, or outside a conurbation. Dense suburbs and rural centres: high-density or medium-density suburban municipality, or municipality in a rural centre. Rural: low-density suburban community, centrally located rural community, or outlying rural community.</p>
</fn>
<fn id="Tfn3">
<label>3</label>
<p>Equivalised disposable income: net monthly income adjusted for the number of members in the household.</p>
</fn>
<fn id="Tfn4">
<label>4</label>
<p>Inactive: &#x3c;30&#xa0;min of moderate physical activity or &#x3c;1 time of intense activity per week. Partially active: 30&#x2013;149&#xa0;min of moderate physical activity or 1 time of intense activity per week. Sufficiently active: &#x2265;150&#xa0;min of moderate physical activity or &#x2265;2 times intense physical activity per week.</p>
</fn>
<fn id="Tfn5">
<label>5</label>
<p>Low risk: less than 40&#xa0;g/day of pure alcohol for men and less than 20&#xa0;g/day for women. Moderate risk: between 40 and 60&#xa0;g/day of pure alcohol for men and between 20 and 40&#xa0;g/day for women. High-risk: more than 60&#xa0;g/day of pure alcohol for men and more than 40&#xa0;g/day for women.</p>
</fn>
<fn id="Tfn6">
<label>6</label>
<p>Underweight: body mass index less than 18.5&#xa0;kg/m2. Normal weight: body mass index between 18.5 and 24.9&#xa0;kg/m2. Overweight: body mass index between 25.0 and 29.9&#xa0;kg/m2. Obese: body mass index equal or more than 30.0&#xa0;kg/m2.</p>
</fn>
<fn id="Tfn7">
<label>7</label>
<p>Low: score between 3 and 8. Moderate: score between 9 and 11. High: score between 12 and 14.</p>
</fn>
<fn id="Tfn8">
<label>8</label>
<p>Bonus: Reduction in premium if no claims were made for 1&#xa0;year. Managed care: health maintenance organisation centre, general practitioner, or medical advice hotline.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Most females had undergone a screening test within recommended intervals for cervical cancer (69.9%, 95% CI: 68.0&#x2013;71.7), whereas slightly fewer than half had undergone screening for breast (49.0%, 95% CI: 47.0&#x2013;51.0) and colorectal (44.6%, 95% CI: 42.7&#x2013;46.6) cancers (<xref ref-type="fig" rid="F1">Figure 1</xref>). Less than half of males had undergone colorectal (43.9%, 95% CI: 41.8&#x2013;46.0) and prostate (39.4%, 95% CI: 37.4&#x2013;41.4) cancer screening within the recommended intervals. Approximately one in three females (35.7%, 95% CI: 33.8&#x2013;37.6) and males (31.7%, 95% CI: 29.8&#x2013;33.7) had a skin examination in the last 5 years.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Proportion of self-reported cervical, breast, colorectal, skin and prostate cancer screening within recommended intervals, for female and male residents aged 50&#x2013;69 (Swiss Health Survey, Switzerland, 2017).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="ijph-71-1609624-g001.tif">
<alt-text content-type="machine-generated">Bar chart comparing cancer screening rates for females and males across five cancer types. Females have highest screening for cervical cancer at sixty-nine point nine percent, while males have highest for prostate cancer at thirty-nine point four percent.</alt-text>
</graphic>
</fig>
<p>The proportion of concurrent screening was similar between females (34.4%, 95% CI: 32.6&#x2013;36.3) and males (35.6%, 95% CI: 33.6&#x2013;37.6) (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Proportion of self-reported cancer screening tests by number of tests performed within recommended intervals, for female and male residents aged 50&#x2013;69 (Swiss Health Survey, Switzerland, 2017).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="ijph-71-1609624-g002.tif">
<alt-text content-type="machine-generated">Bar chart comparing the percentage of females and males by number of screening tests completed within recommended intervals, categorized as zero to four tests. For females, 32.1 percent completed two, 25.2 percent three, 9.3 percent four, with total concurrent utilization labeled as 34.4 percent. For males, 33.4 percent completed two, 24.8 percent three, 10.7 percent four, with total concurrent utilization labeled as 35.6 percent. Green ovals highlight three and four tests for both groups.</alt-text>
</graphic>
</fig>
<p>
<xref ref-type="table" rid="T2">Table 2</xref> shows results from the multivariable models. Concurrent utilisation of cancer screenings among females increased with age (OR per year &#x3d; 1.03). Females living in French- or Italian-speaking Switzerland were approximately 2.3 times more likely to concurrently use cancer screenings than those living in the German-speaking region. Females with tertiary education and those with several medical visits in the past year were also more likely to report concurrent utilisation. The odds of concurrent utilisation increased 2.7 times for females with 2-3 medical visits, and approximately 4.7 times for those with 4 or more visits.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Adjusted associations between concurrent utilisation of cancer screening tests and each covariate, for female and male residents aged 50&#x2013;69 (Swiss Health Survey, Switzerland, 2017).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">&#x200b;</th>
<th colspan="2" align="center">Females (weighted count &#x3d; 1,081,933)<xref ref-type="table-fn" rid="Tfn9">
<sup>&#x2a;</sup>
</xref>
</th>
<th colspan="2" align="center">Males (weighted count &#x3d; 1,064,901)<xref ref-type="table-fn" rid="Tfn10">
<sup>&#x2a;&#x2a;</sup>
</xref>
</th>
</tr>
<tr>
<th align="left">&#x200b;</th>
<th align="center">aOR (95% CI)</th>
<th align="center">p-value Wald test</th>
<th align="center">aOR (95% CI)</th>
<th align="center">p-value Wald test</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<th colspan="5" align="left">Socio-demographics</th>
</tr>
<tr>
<td align="left">Age (increase per age-year)</td>
<td align="left">1.03 (1.01&#x2013;1.05)</td>
<td align="center">&#x3c;0.001</td>
<td align="left">1.07 (1.05&#x2013;1.08)</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">Education<xref ref-type="table-fn" rid="Tfn11">
<sup>1</sup>
</xref>
</td>
<td align="left">&#x200b;</td>
<td align="center">0.01</td>
<td align="left">&#x200b;</td>
<td align="center">0.23</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Primary</italic>
</td>
<td align="left">0.87 (0.66&#x2013;1.14)</td>
<td align="center">&#x200b;</td>
<td rowspan="3" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Secondary</italic>
</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Tertiary</italic>
</td>
<td align="left">1.36 (1.09&#x2013;1.69)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Marital status</td>
<td align="left">&#x200b;</td>
<td align="center">&#x3c;0.01</td>
<td align="left">&#x200b;</td>
<td align="center">0.76</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Single</italic>
</td>
<td align="left">0.76 (0.56&#x2013;1.05)</td>
<td align="center">&#x200b;</td>
<td rowspan="4" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Married</italic>
</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Divorced or separated</italic>
</td>
<td align="left">0.72 (0.56&#x2013;0.92)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Widowed</italic>
</td>
<td align="left">0.56 (0.38&#x2013;0.81)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Occupation</td>
<td align="left">&#x200b;</td>
<td align="center">0.83</td>
<td align="left">&#x200b;</td>
<td align="center">0.85</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Economically inactive</italic>
</td>
<td rowspan="3" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td rowspan="3" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Unemployed or homemaker</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Employed</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Nationality</td>
<td align="left">&#x200b;</td>
<td align="center">0.04</td>
<td align="left">&#x200b;</td>
<td align="center">0.21</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Swiss</italic>
</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
<td rowspan="5" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Northern and western European</italic>
</td>
<td align="left">0.68 (0.41&#x2013;1.13)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;South-western European</italic>
</td>
<td align="left">0.73 (0.47&#x2013;1.12)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Eastern and south-eastern European</italic>
</td>
<td align="left">0.68 (0.36&#x2013;1.29)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Non-European</italic>
</td>
<td align="left">0.06 (0.00&#x2013;0.65)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Linguistic region</td>
<td align="left">&#x200b;</td>
<td align="center">&#x3c;0.001</td>
<td align="left">&#x200b;</td>
<td align="center">0.16</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;German-speaking</italic>
</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
<td rowspan="3" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;French-speaking</italic>
</td>
<td align="left">2.25 (1.85&#x2013;2.75)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Italian-speaking</italic>
</td>
<td align="left">2.28 (1.64&#x2013;3.17)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Region of residence<xref ref-type="table-fn" rid="Tfn12">
<sup>2</sup>
</xref>
</td>
<td align="left">&#x200b;</td>
<td align="center">0.17</td>
<td align="left">&#x200b;</td>
<td align="center">0.32</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Urban</italic>
</td>
<td rowspan="3" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td rowspan="3" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Dense suburbs and rural centres</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Rural</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Household type</td>
<td align="left">&#x200b;</td>
<td align="center">0.34</td>
<td align="left">&#x200b;</td>
<td align="center">0.01</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Single individual</italic>
</td>
<td rowspan="5" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="left">0.79 (0.60&#x2013;1.04)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Couple without children</italic>
</td>
<td align="center">&#x200b;</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Couple with children</italic>
</td>
<td align="center">&#x200b;</td>
<td align="left">1.22 (0.97&#x2013;1.55)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Single parent with children</italic>
</td>
<td align="center">&#x200b;</td>
<td align="left">0.65 (0.35&#x2013;1.17)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Multi-family household or non-family household with several individuals</italic>
</td>
<td align="center">&#x200b;</td>
<td align="left">0.53 (0.28&#x2013;1.01)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Equivalised disposable income<xref ref-type="table-fn" rid="Tfn13">
<sup>3</sup>
</xref>
</td>
<td align="left">&#x200b;</td>
<td align="center">0.05</td>
<td align="left">&#x200b;</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x3c; CHF 3,000</italic>
</td>
<td align="left">0.80 (0.61&#x2013;1.05)</td>
<td align="center">&#x200b;</td>
<td align="left">1.17 (0.86&#x2013;1.60)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;CHF 3,000&#x2013;4,499</italic>
</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;CHF 4,500&#x2013;5,999</italic>
</td>
<td align="left">0.96 (0.74&#x2013;1.26)</td>
<td align="center">&#x200b;</td>
<td align="left">1.48 (1.12&#x2013;1.94)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x2265; CHF 6,000</italic>
</td>
<td align="left">1.21 (0.93&#x2013;1.57)</td>
<td align="center">&#x200b;</td>
<td align="left">2.25 (1.74&#x2013;2.92)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Lifestyle</td>
<td align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Physical activity<xref ref-type="table-fn" rid="Tfn14">
<sup>4</sup>
</xref>
</td>
<td align="left">&#x200b;</td>
<td align="center">0.87</td>
<td align="left">&#x200b;</td>
<td align="center">0.08</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Inactive</italic>
</td>
<td rowspan="3" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="left">0.66 (0.45&#x2013;0.97)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Partially active</italic>
</td>
<td align="center">&#x200b;</td>
<td align="left">0.89 (0.68&#x2013;1.15)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Sufficiently active</italic>
</td>
<td align="center">&#x200b;</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Fruits and/or vegetables consumption</td>
<td align="left">&#x200b;</td>
<td align="center">0.03</td>
<td align="left">&#x200b;</td>
<td align="center">0.68</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x3c; 5 days per week</italic>
</td>
<td align="left">0.78 (0.49&#x2013;1.26)</td>
<td align="center">&#x200b;</td>
<td rowspan="4" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;0&#x2013;2 portions per day &#x2265; 5 days per week</italic>
</td>
<td align="left">0.79 (0.63&#x2013;0.99)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;3&#x2013;4 portions per day &#x2265; 5 days per week</italic>
</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x2265; 5 portions per day &#x2265; 5 days per week</italic>
</td>
<td align="left">1.12 (0.90&#x2013;1.39)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Alcohol consumption<xref ref-type="table-fn" rid="Tfn15">
<sup>5</sup>
</xref>
</td>
<td align="left">&#x200b;</td>
<td align="center">0.54</td>
<td align="left">&#x200b;</td>
<td align="center">0.14</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Abstainer</italic>
</td>
<td rowspan="3" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="left">0.92 (0.66&#x2013;1.29)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Low risk</italic>
</td>
<td align="center">&#x200b;</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Moderate or high risk</italic>
</td>
<td align="center">&#x200b;</td>
<td align="left">0.65 (0.43&#x2013;1.00)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Smoking status</td>
<td align="left">&#x200b;</td>
<td align="center">0.03</td>
<td align="left">&#x200b;</td>
<td align="center">0.24</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Never</italic>
</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
<td rowspan="3" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Ex-smoker</italic>
</td>
<td align="left">1.11 (0.90&#x2013;1.38)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Smoker</italic>
</td>
<td align="left">0.79 (0.63&#x2013;1.00)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Health</td>
<td align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Body mass index<xref ref-type="table-fn" rid="Tfn16">
<sup>6</sup>
</xref>
</td>
<td align="left">&#x200b;</td>
<td align="center">0.41</td>
<td align="left">&#x200b;</td>
<td align="center">0.28</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Underweight</italic>
</td>
<td rowspan="4" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td rowspan="4" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Normal weight</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Overweight</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Obese</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Chronic disease or long-term health problem</td>
<td align="left">&#x200b;</td>
<td align="center">0.36</td>
<td align="left">&#x200b;</td>
<td align="center">0.07</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;No</italic>
</td>
<td rowspan="2" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Yes</italic>
</td>
<td align="center">&#x200b;</td>
<td align="left">0.82 (0.67&#x2013;1.01)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Cancer in the past year</td>
<td align="left">&#x200b;</td>
<td align="center">0.15</td>
<td align="left">&#x200b;</td>
<td align="center">0.39</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;No</italic>
</td>
<td rowspan="2" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td rowspan="2" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Yes</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Self-reported health</td>
<td align="left">&#x200b;</td>
<td align="center">1.00</td>
<td align="left">&#x200b;</td>
<td align="center">0.44</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Very good or good</italic>
</td>
<td rowspan="2" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td rowspan="3" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Medium</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Bad or very bad</italic>
</td>
<td align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Importance of one&#x2019;s health</td>
<td align="left">&#x200b;</td>
<td align="center">0.13</td>
<td align="left">&#x200b;</td>
<td align="center">0.01</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Lives without concern of health</italic>
</td>
<td rowspan="3" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="left">0.62 (0.45, 0.85)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Lifestyle to maintain health</italic>
</td>
<td align="center">&#x200b;</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Health consideration determines a lot of one&#x2019;s life</italic>
</td>
<td align="center">&#x200b;</td>
<td align="left">0.80 (0.63, 1.02)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Health services utilisation</td>
<td align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Number of medical visits in the past year</td>
<td align="left">&#x200b;</td>
<td align="center">&#x3c;0.001</td>
<td align="left">&#x200b;</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;0&#x2013;1</italic>
</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;2&#x2013;3</italic>
</td>
<td align="left">2.69 (2.08, 3.49)</td>
<td align="center">&#x200b;</td>
<td align="left">2.89 (2.27, 3.68)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;4&#x2013;5</italic>
</td>
<td align="left">4.86 (3.65, 6.46)</td>
<td align="center">&#x200b;</td>
<td align="left">2.68 (1.99, 3.61)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;&#x3e; 5</italic>
</td>
<td align="left">4.65 (3.54, 6.11)</td>
<td align="center">&#x200b;</td>
<td align="left">3.25 (2.44, 4.32)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Hospitalisation in the past year</td>
<td align="left">&#x200b;</td>
<td align="center">0.06</td>
<td align="left">&#x200b;</td>
<td align="center">0.89</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;No</italic>
</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
<td rowspan="2" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Yes</italic>
</td>
<td align="left">0.76 (0.56, 1.02)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>S</italic>ecurity and social supports</td>
<td align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Social support (Oslo 3-item scale)<xref ref-type="table-fn" rid="Tfn17">
<sup>7</sup>
</xref>
</td>
<td align="left">&#x200b;</td>
<td align="center">0.01</td>
<td align="left">&#x200b;</td>
<td align="center">0.91</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Low</italic>
</td>
<td align="left">0.74 (0.54, 1.03)</td>
<td align="center">&#x200b;</td>
<td rowspan="3" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Moderate</italic>
</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;High</italic>
</td>
<td align="left">1.19 (0.98, 1.44)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Annual deductible</td>
<td align="left">&#x200b;</td>
<td align="center">0.59</td>
<td align="left">&#x200b;</td>
<td align="center">&#x3c;0.01</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;CHF 300</italic>
</td>
<td rowspan="3" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="left">1.00 (reference)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;CHF 500, 1,000 or 1,500</italic>
</td>
<td align="center">&#x200b;</td>
<td align="left">0.67 (0.53, 0.85)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;CHF 2,000 or 2,500</italic>
</td>
<td align="center">&#x200b;</td>
<td align="left">0.43 (0.26, 0.72)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Health insurance model [<xref ref-type="bibr" rid="B8">8</xref>]</td>
<td align="left">&#x200b;</td>
<td align="center">0.82</td>
<td align="left">&#x200b;</td>
<td align="center">0.83</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;Ordinary or bonus</italic>
</td>
<td rowspan="2" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
<td rowspan="2" align="left">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">
<italic>&#x2003;ssManaged care</italic>
</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>aOR: adjusted odds ratio. CI: confidence interval. CHF: Swiss Francs (1 CHF &#x2248;1.07 Euro &#x2248;1.25 US, Dollar as of January 2026).</p>
</fn>
<fn id="Tfn9">
<label>
<sup>&#x2a;</sup>
</label>
<p>Of 3,436 females, 3,410 (99.2%) were included in the final model. Twenty-six (0.8%) were excluded (25 had missing data for the outcome; 1 had missing data for smoking and including it as a separate category in multivariable analysis led to data sparsity).</p>
</fn>
<fn id="Tfn10">
<label>
<sup>&#x2a;&#x2a;</sup>
</label>
<p>Of 3,081 males, 3,063 (99.4%) were included in the final model. Eighteen (0.6%) were excluded (17 had missing data for the outcome; 1 had missing value for household type and including it as a separate category in multivariable analysis led to data sparsity).</p>
</fn>
<fn id="Tfn11">
<label>1</label>
<p>Primary: compulsory school. Secondary: high school or apprenticeship. Tertiary education: university, university of applied sciences, or higher vocational education and training institutions.</p>
</fn>
<fn id="Tfn12">
<label>2</label>
<p>Urban: urban municipality in a large, medium-sized or small conurbation, or outside a conurbation. Dense suburbs and rural centres: high-density or medium-density suburban municipality, or municipality in a rural centre. Rural: low-density suburban community, centrally located rural community, or outlying rural community.</p>
</fn>
<fn id="Tfn13">
<label>3</label>
<p>Equivalised disposable income: net monthly income adjusted for the number of members in the household.</p>
</fn>
<fn id="Tfn14">
<label>4</label>
<p>Inactive: &#x3c;30&#xa0;min of moderate physical activity or &#x3c;1 time of intense activity per week. Partially active: 30&#x2013;149&#xa0;min of moderate physical activity or 1 time of intense activity per week. Sufficiently active: &#x2265;150&#xa0;min of moderate physical activity or &#x2265;2 times intense physical activity per week.</p>
</fn>
<fn id="Tfn15">
<label>5</label>
<p>Low risk: less than 40&#xa0;g/day of pure alcohol for men and less than 20&#xa0;g/day for women. Moderate risk: between 40 and 60&#xa0;g/day of pure alcohol for men and between 20 and 40&#xa0;g/day for women. High-risk: more than 60&#xa0;g/day of pure alcohol for men and more than 40&#xa0;g/day for women.</p>
</fn>
<fn id="Tfn16">
<label>6</label>
<p>Underweight: body mass index less than 18.5&#xa0;kg/m2. Normal weight: body mass index between 18.5 and 24.9&#xa0;kg/m2. Overweight: body mass index between 25.0 and 29.9&#xa0;kg/m2. Obese: body mass index equal or more than 30.0&#xa0;kg/m2.</p>
</fn>
<fn id="Tfn17">
<label>7</label>
<p>Low: score between 3 and 8. Moderate: score between 9 and 11. High: score between 12 and 14.</p>
</fn>
<fn id="Tfn18">
<label>8</label>
<p>Bonus: Reduction in premium if no claims were made for 1&#xa0;year. Managed care: health maintenance organisation centre, general practitioner, or medical advice hotline.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Divorced or separated females (aOR&#x3d;0.72, 95% CI: 0.56&#x2013;0.92) and widows (aOR&#x3d;0.56, 95% CI: 0.38&#x2013;0.81) were less likely to report concurrent utilisation than married females. Non-European females were also less likely to report concurrent utilisation (aOR&#x3d;0.06, 95% CI: 0.00&#x2013;0.65) compared with Swiss females, albeit this finding was based on a small number of non-European participants (<xref ref-type="table" rid="T1">Table 1</xref>). Concurrent utilisation was approximately 20% lower among females consuming 0&#x2013;2 portions of fruits and/or vegetables per day compared with those consuming 3-4 portions (aOR&#x3d;0.79, 95% CI: 0.63&#x2013;0.99), and among smokers compared with non-smokers (aOR&#x3d;0.79, 95% CI: 0.63&#x2013;1.00). Females with an EDI below CHF 3,000 were less likely to be concurrent screening users than those with an EDI above CHF 6,000. Concurrent utilisation also tended to be lower among those who had been hospitalised in the past year and among those with lower levels of social support.</p>
<p>Among males, concurrent utilisation of cancer screenings increased markedly with age (OR per year &#x3d; 1.07). Household type was associated with concurrent utilisation with suggestive evidence that males living alone, as a single parent, or in a multi-family household were less likely concurrent users, whereas those living as a couple with children were more likely to be concurrent users. Males with an EDI of CHF 4,500 or higher were more likely to use cancer screening concurrently than those with an EDI of CHF 3,000&#x2013;4,499. The odds of concurrent utilisation increased approximately two-to-three-fold among those with several medical visits in the past year.</p>
<p>Males who reported no concern for their health had lower odds of concurrent utilisation (aOR&#x3d;0.62, 95% CI: 0.45&#x2013;0.85). Regarding lifestyle factors, concurrent utilisation was 34% lower among physically inactive males compared with those who were sufficiently active (aOR&#x3d;0.66, 95% CI: 0.45&#x2013;0.97), and among those with moderate or high-risk alcohol consumption compared with those at low risk (aOR&#x3d;0.65, 95% CI: 0.43&#x2013;1.00). There was also suggestive evidence that males with a chronic disease were less likely to use cancer screening concurrently (aOR&#x3d;0.82, 95% CI: 0.67&#x2013;1.01). Compared with those with the lowest annual deductible of CHF 300, males with a higher deductible were less likely to be concurrent users.</p>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>We estimated that one in three Swiss individuals reported concurrent utilisation of recommended cancer screenings. Previous nationwide studies investigating concurrent utilisation of cancer screenings have reported a range from 27% to 55% of individuals being up-to-date with all recommended screenings [<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>], likely reflecting differences in study design, screening culture, and screening delivery. Overall, studies based on data from organised programmes reported higher proportions of concurrent screenings, up to 55% in Denmark [<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B49">49</xref>]. Most previous studies focused on females, and the full utilisation of breast, cervical, and colorectal cancer screenings. Although our outcome reflected near-complete concurrent utilisation, the results are largely comparable, as skin cancer screening, which is rarely included in international studies, has no formal recommendation in Switzerland. The proportion of concurrent utilisation in Switzerland was comparatively lower than in countries with more extensive organised cancer screening programmes, but aligns with recent national surveys investigating opportunistic and organised cancer screening, reporting 27% in Japan [<xref ref-type="bibr" rid="B45">45</xref>] and 42% among females and 29% among males in the United States [<xref ref-type="bibr" rid="B49">49</xref>].</p>
<p>One of the main findings was that factors associated with concurrent utilisation differed between sexes. The few common factors were increasing age, higher income and several medical visits in the past year. A substantially greater increase per year of age was observed in males than in females aged between 50&#x2013;69. Younger individuals, particularly males, may perceive themselves as being at lower risk of cancer due to their age, or they may be harder to sensitise because of less frequent contact with healthcare providers. Income was significantly associated with concurrent utilisation, especially among males, suggesting that preventive health services may be a lower priority for males and are more likely to be used only by those with higher salaries. However, these results should be interpreted with caution because of the large number of missing income values. Of other sociodemographic factors, higher education, marital status, nationality, and linguistic region were all positively associated with concurrent utilisation, but only among females. In the Netherlands, higher levels of participation were observed among females with higher median household income [<xref ref-type="bibr" rid="B46">46</xref>]. Previous studies have also shown that full utilisation of cancer screenings was associated with higher educational attainment [<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B49">49</xref>]. Concurrent utilisation of screening tests was also associated with household type among males. This suggests that males may be more inclined to undergo screening when living with someone who does, especially a female, who is more likely to engage in cancer screening [<xref ref-type="bibr" rid="B59">59</xref>&#x2013;<xref ref-type="bibr" rid="B61">61</xref>]. Additionally, a recent U.S. study reported a positive association between living with someone and being up-to-date with screening recommendations [<xref ref-type="bibr" rid="B62">62</xref>]. Regarding regional variations, higher utilisation of cancer screening in French- and Italian-compared with German-speaking Switzerland was observed separately for colorectal, breast and prostate cancer screening [<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B63">63</xref>]. Greater use of health services and the broader availability of organised screening programmes (breast, colorectal) in Latin-speaking Switzerland likely contributed to these regional differences.</p>
<p>Among lifestyle factors, higher consumption of fruits and/or vegetables and current non-smoking status were suggestively associated with concurrent utilisation among females, whereas higher levels of physical activity and low-risk alcohol consumption were associated with concurrent use of cancer screening among males. In Japan, female smokers were also less likely to participate in cancer screening [<xref ref-type="bibr" rid="B45">45</xref>]. In a regional study in France, lower concurrent utilisation of organised breast and colorectal cancer screenings, as well as opportunistic cervical cancer screening, were associated with low levels of physical activity and smoking [<xref ref-type="bibr" rid="B43">43</xref>]. The association between unhealthy lifestyle factors and lower concurrent utilisation may reflect a low degree of health concern. Indeed, males without concern for their health were less likely to use cancer screening concurrently in Switzerland. Furthermore, having a chronic disease or a long-term health problem was associated with an 18% reduction (95%CI: &#x2212;33%, &#x2b;1%) in the odds of concurrent utilisation among males. In England, a nationwide case-control study among females reported that concurrent participation in all three recommended cancer screening programmes was higher in areas where general practices had more patients with a chronic disease [<xref ref-type="bibr" rid="B48">48</xref>]. In contrast, a regional study found that participation, although not concurrent, in all three programmes was more likely to be higher in females with few comorbidities or a history of benign neoplasms [<xref ref-type="bibr" rid="B47">47</xref>]. Overall, these results highlight the potentially ambivalent effect of chronic conditions on preventive care. Although individuals with chronic diseases have more frequent interactions with the healthcare system and may thus be more exposed to cancer screening recommendations, the demands of managing their illness can create competing priorities that reduce their likelihood of participating in screening. Accounting for the severity and type of comorbidity in future studies may help clarify the association between comorbidities and concurrent cancer screening use.</p>
<p>Several medical visits in the past year were strongly associated with concurrent utilisation in both sexes. Our findings corroborate those from a French survey, which reported that females who visited a gynaecologist or general practitioner in the past year were more likely to participate in at least two of three screenings for breast, colorectal and cervical cancer [<xref ref-type="bibr" rid="B43">43</xref>]. This underscores the key role of healthcare providers in promoting cancer screening and aligns with our observation of higher concurrent utilisation in the Latin Swiss regions, where general practitioners and gynaecologists facilitate access to organised screening programmes. As most cancer screenings involve medical visit(s), the observed association between visit frequency and concurrent screening utilisation may be artificially amplified, despite considering only visits in the past year.</p>
<p>Our results indicated that low social support may reduce the likelihood of concurrent screening among females, echoing recent findings of a positive association between social support and cancer screening participation in the U.S. [<xref ref-type="bibr" rid="B62">62</xref>]. An annual deductible above the legal minimum of CHF 300 was associated with decreased odds of concurrent utilisation among males. In contrast, an earlier Swiss study using 2012 SHS data reported no differences in patterns of screening utilisation for prostate, colorectal, or skin cancer according to annual deductible [<xref ref-type="bibr" rid="B32">32</xref>]. However, among females, higher deductibles were associated with lower odds of undergoing breast and cervical cancer screening, but not colorectal or skin cancer screening [<xref ref-type="bibr" rid="B32">32</xref>]. Higher annual deductibles are likely correlated with higher income and socioeconomic status.</p>
<p>In Switzerland, concurrent utilisation of cancer screening appears to be primarily influenced by sociodemographic factors among females and lifestyle and health factors among males. These findings have potentially important implications for cancer prevention. Interventions targeting females with persistently low screening rates due to sociodemographic characteristics and males with unhealthy lifestyle, might enhance screening uptake. Furthermore, sensitizing younger age groups (i.e., around 50 years) about benefits of regular cancer screening is important, as cancer risk strongly increases with age.</p>
<sec id="s4-1">
<title>Strengths</title>
<p>Our study provides the first insights into patterns of concurrent cancer screening utilisation in the Swiss population aged 50&#x2013;69 and explores multiple multidimensional factors likely to be associated with screening practices, including rather rare variables that approximate individuals&#x2019; health preferences and attitudes toward their health. Results from this randomly selected, nationwide, stratified sample are representative of the Swiss population, and weighting reduces potential selection bias due to non-response. Finally, structured interviews conducted by trained professionals ensure the quality and consistency of SHS data.</p>
</sec>
<sec id="s4-2">
<title>Limitations</title>
<p>The SHS was not specifically designed for the purposes of our research (e.g., questions on prior cancer diagnosis were limited to the past year, with no information on cancer type, preventing any assessment of associations with related cancer screenings). The cross-sectional design poses measurement limitations. Substantial heterogeneity in recommended screening intervals across cancer types - from biennial to decennial - may introduce differential recall bias, such that observed associations may not reflect long-term adherence. Because screening intervals are designed to align with the natural history and biological progression of each cancer, a cross-sectional snapshot may not accurately capture the sustained utilisation required for clinical efficacy. Potential response bias may arise from self-reported data. Social desirability bias could have led to overestimation of healthy behaviours and underestimation of less healthy behaviours. However, the estimated proportion of cancer screenings utilisation closely matched data from organised programmes [<xref ref-type="bibr" rid="B64">64</xref>], and numerous indicators of health behaviour corresponded to estimates from other sources [<xref ref-type="bibr" rid="B65">65</xref>] (p.30,p.49), [<xref ref-type="bibr" rid="B66">66</xref>] (p.35). While male and female results are discussed in relation to one other, direct comparison is limited by differences in recommended screenings, accessibility, statistical models, and definition of concurrency. Under our definition, men can achieve concurrency through two easily accessible screenings conducted during routine medical visits (e.g., prostate and skin), whereas women must complete three screenings, including at least one that requires a scheduled procedure (e.g., breast or colorectal) to meet the criteria for concurrent utilisation. Finally, the results may not be fully representative of the Swiss population for factors unadjusted by survey weights (e.g., income) due to missing data. Multiple imputation was not applied because missingness for key socioeconomic variables was likely not missing at random, suitable auxiliary variables to support robust imputation were limited, and the complex survey design and weighting structure would have required strong reliance on untestable imputation assumptions. Given the absence of a significant association between missing categories and the outcome, except for annual deductible among men, which suggests minimal bias attributable to missing data, missing values were handled as a separate category to ensure transparency and preserve sample size.</p>
<p>Further studies are warranted to better understand the mechanisms underlying different user profile. In particular, reasons for adherence with one screening recommendation but not others, and the mediating pathways linking unhealthy behaviours, chronic disease, and low health concern need to be explored. Given the temporal instability of screening behaviours, findings from a single survey may not fully capture the sustained adherence required for clinical efficacy and should be interpreted with caution when informing policy changes in cancer screenings.</p>
</sec>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The data that support the findings of this study are available from the FSO, but restrictions apply to the availability of these data, which were used under license for the current study, and thus are not publicly available. The anonymised data can be accessed upon a formal request to the FSO (<ext-link ext-link-type="uri" xlink:href="https://www.bfs.admin.ch/bfs/fr/home/statistiques/sante/enquetes/sgb.html#accs-aux-donnes-anonymises">https://www.bfs.admin.ch/bfs/fr/home/statistiques/sante/enquetes/sgb.html&#x23;accs-aux-donnes-anonymises</ext-link>).</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics statement</title>
<p>We used anonymised data from the SHS for which ethical approval under the Swiss Human Research Act (HRA) (SR 810.30) was not required. The implementation of the survey and the collection, processing and storage of the data are governed by several federal legal bases (SR 431.112.1, SR 235.1, SR 235.11, SR 431.012.1, SR 431.01). No personal data is collected without informed consent to participate. The FSO and the Swiss Conference of Regional Statistical Offices adopted the Swiss Public Statistics Charter (now the Charter of Swiss Official Statistics) in 2002 (revised in 2007 and 2012), which is in line with the European Statistics Code of Practice. The FSO collects and anonymises the data before releasing them in accordance with the Federal Statistics Act of 1992 (SR 431.01). In light of the above, this study was conducted in accordance with the principles of the Declaration of Helsinki.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>ABD: Conceptualization, Methodology, Formal analysis, Writing &#x2013; Original draft, Visualization, Writing &#x2013; Review and Editing. JN-M: Conceptualization, Methodology, Supervision, Writing &#x2013; Review and Editing. J-LB: Conceptualization, Methodology, Supervision, Writing &#x2013; Review and Editing. All authors contributed to the article and approved the submitted version.</p>
</sec>
<ack>
<title>Acknowledgements</title>
<p>We acknowledge the FSO for granting us permission to use the data and C&#xe9;line Racine, Unisant&#xe9;, for helping to access the data.</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors declare that they do not have any conflicts of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was used in the creation of this manuscript. During the revision of this manuscript, Microsoft Copilot was used to assist with reducing the word count. The authors take full responsibility for the final content.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
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