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<front>
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<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title-group>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2026.1735641</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 Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>A study on the prevalence and influencing factors of the willingness of healthy subjects to participate in clinical trials</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Shen</surname>
<given-names>Zhen</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Wang</surname>
<given-names>Tao</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Fang-Fang</given-names>
</name>
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<contrib contrib-type="author">
<name>
<surname>Ding</surname>
<given-names>Qi-Qiong</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Xiao-Qin</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Qing</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yi-Jun</given-names>
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<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Fan</surname>
<given-names>Lian-Lian</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><label>1</label><institution>Phase 1 Clinical Trial Center, Deyang People's Hospital</institution>, <city>Deyang</city>, <state>Sichuan</state>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Clinical Pharmacology Research Center, Chinese Academy of Medical Sciences &#x0026; Peking Union Medical College</institution>, <city>Beijing</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Health Management Center, Deyang People's Hospital</institution>, <city>Deyang</city>, <state>Sichuan</state>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>The First Affiliated Hospital of Shihezi University</institution>, <city>Shihezi</city>, <state>Xinjiang</state>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Lian-Lian Fan, <email xlink:href="mailto:510791761@qq.com">510791761@qq.com</email></corresp>
<fn fn-type="equal" id="fn0001"><label>&#x2020;</label><p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-27">
<day>27</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>14</volume>
<elocation-id>1735641</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>14</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Shen, Wang, Liu, Ding, Liu, Li, Zhang and Fan.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Shen, Wang, Liu, Ding, Liu, Li, Zhang and Fan</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-27">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>Objective</title>
<p>To investigate the willingness of healthy subjects to participate in clinical trials and its influencing factors, to improve recruitment efficiency.</p>
</sec>
<sec>
<title>Methods</title>
<p>A convenience sampling method was employed to conduct a questionnaire survey among healthy subjects using an online questionnaire system. Information on demographic characteristics, opinions on clinical trials, and willingness to participate in clinical trials was collected. Statistical description, along with univariate and multivariate unconditional logistic regression analyses, were used to evaluate the epidemiological characteristics of healthy subjects and the influence of related factors on their willingness to participate in clinical trials.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 423 valid questionnaires were collected. The average age of the healthy subjects was 29.13&#x202F;&#x00B1;&#x202F;8.20&#x202F;years old, with a gender ratio of 0.66:1. The willingness of healthy subjects to participate in clinical trials was 53.66% (227/423). Logistic regression analysis showed that urban subjects had higher willingness than rural subjects (<italic>OR</italic> =&#x202F;2.175, <italic>95% CI</italic>: 1.291&#x2013;3.664). Unemployed individuals not actively seeking work subjects (<italic>OR</italic> =&#x202F;2.891, <italic>95% CI</italic>: 1.134&#x2013;7.371) and those with a moderate level of understanding of clinical trials (<italic>OR</italic> =&#x202F;3.906, <italic>95% CI</italic>: 1.950&#x2013;7.827) also showed higher willingness. In contrast, subjects who were aware of the functions of an ethics committee had lower willingness (<italic>OR</italic> =&#x202F;0.565, <italic>95% CI</italic>: 0.335&#x2013;0.952). Factors such as age, gender, and average monthly income were not significantly associated.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Residence, employment, and level of understanding of clinical trials significantly influence the willingness of healthy subjects to participate. Targeted strategies such as enhancing education in rural areas, optimizing recruitment among the unemployed individuals not actively seeking work, and improving ethical communication should be implemented to increase participation.</p>
</sec>
</abstract>
<kwd-group>
<kwd>clinical trials</kwd>
<kwd>epidemiology</kwd>
<kwd>healthy subjects</kwd>
<kwd>influence factor</kwd>
<kwd>willingness to participate</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the Incubation Project of Deyang people&#x2019;s Hospital (No. FHT202415).</funding-statement>
</funding-group>
<counts>
<fig-count count="0"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="24"/>
<page-count count="9"/>
<word-count count="5314"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Health Education and Promotion</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Clinical trials are systematic investigations conducted on human subjects (either patients or healthy subjects) to evaluate the efficacy, safety, and pharmacological properties such as absorption, distribution, metabolism, and excretion of investigational drugs or medical devices (<xref ref-type="bibr" rid="ref1">1</xref>). Healthy subjects play an indispensable role in this process. A healthy subject refers to an individual with no known diseases or abnormalities relevant to the study, with physiological and laboratory parameters within normal ranges, free from interfering factors, who volunteers to participate and does not seek therapeutic benefit. The development and approval of any new drug depend critically on their participation. Unlike patient volunteers, healthy subjects do not suffer from the condition the drug is intended to treat. They undertake potential unknown risks without the prospect of therapeutic benefit, making their willingness to participate a central ethical and practical concern (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>). Therefore, understanding the factors that influence the willingness of healthy individuals to take part in clinical trials and conducting targeted educational initiatives is essential for enhancing trust and engagement.</p>
<p>The willingness of healthy subjects to participate directly impacts the speed and quality of trial recruitment, which in turn affects both the timeline and cost of clinical development (<xref ref-type="bibr" rid="ref4">4</xref>). However, participant recruitment remains a major challenge in clinical research. The decision to enroll is influenced by a complex array of factors. While substantial research has focused on factors affecting patients&#x2019; willingness to participate, studies specifically addressing healthy volunteers remain relatively limited. Existing research, both internationally and domestically, has identified several influential factors, including inadequate publicity of clinical trial information (<xref ref-type="bibr" rid="ref5">5</xref>), insufficient communication from research staff (<xref ref-type="bibr" rid="ref6">6</xref>), as well as demographic variables such as gender and educational level (<xref ref-type="bibr" rid="ref7">7</xref>), and trust in medical staff (<xref ref-type="bibr" rid="ref8">8</xref>).</p>
<p>Despite these efforts, there remains a notable lack of empirical research within the socio-cultural context of China examining the willingness of healthy subjects to participate in clinical trials. In particular, comprehensive analyses that integrate multiple dimensions such as socio-demographic characteristics, levels of awareness of clinical trials, and understanding of ethical oversight are still scarce. To address this gap, this study employs a cross-sectional survey design within the Chinese context, specifically targeting healthy subjects &#x2013; a group often underrepresented in clinical trial participation research. By recruiting individuals from a health examination center and community residents, the study aims to assess willingness to participate and identify key influencing factors unique to this population. The findings are expected to contribute to the theoretical framework of clinical trial recruitment and offer practical insights for improving recruitment efficiency, safeguarding participants&#x2019; rights, and enhancing the overall quality of clinical research.</p>
</sec>
<sec id="sec2">
<label>2</label>
<title>Subjects and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Research subjects</title>
<p>A convenience sampling method was used. The study participants were recruited from two sources: (1) individuals attending the Health Management Center of Deyang People&#x2019;s Hospital for routine physical examinations, and (2) community-dwelling residents. The recruitment period spanned from October 2024 to April 2025.</p>
<p>Inclusion criteria were: (a) Age and gender: healthy males and females aged 18&#x202F;years or above. (b) Weight index: male weight &#x2265; 50.0&#x202F;kg, female weight &#x2265; 45.0&#x202F;kg, body mass index (BMI) between 19.0&#x202F;kg/m<sup>2</sup> and 26.0&#x202F;kg/m<sup>2</sup>. (c) Willingness to cooperate and complete this study.</p>
<p>Exclusion criteria were: (a) Those with clinically significant abnormalities found during physical examination, ECG, complete blood count, blood biochemistry tests, screening for infectious diseases, vital signs, etc. (b) Those with a history or current diagnosis of major diseases affecting the circulatory, endocrine, nervous, digestive, respiratory, hematologic, immune systems, psychiatric disorders, or metabolic abnormalities. (c) Those who change their mind during the survey and are unwilling to cooperate with the study.</p>
<p>After signing the informed consent form, questionnaires were distributed and collected by online questionnaire system. Out of 475 questionnaires, 423 valid responses were collected, resulting in an effective response rate of 89.05%, enhancing data reliability. Based on their willingness to participate in clinical trials, the subjects were categorized into two groups: a willingness to participate group and a non-willingness to participate group.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Questionnaires</title>
<p>The questionnaire consisted of a self-made questionnaire, and the final version was formed after repeated revisions based on a pilot survey. The questionnaire was refined through repeated revisions and pilot testing, increasing the reliability and clarity of the survey instrument (Cronbach&#x2019;s <italic>&#x03B1;</italic> =&#x202F;0.732). Data included demographic variables, opinions on clinical trials, understanding of ethical oversight, and prior participation, providing a multidimensional perspective. The content included: (1) Demographic characteristics: gender, age, ethnicity, residence, education level, employment, marital status, average monthly income, and the number of children, etc. (2) Opinions on clinical trials: participation history of oneself/relatives and friends, rights and interests of subjects, ethics committee, etc. (3) Willingness to participate in clinical trials: &#x201C;Are you considering participating in clinical trials? Yes/No&#x201D;.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Statistical methods</title>
<p>After the questionnaires were double checked for logic, a database was established. Excel software was used for data organization, and SPSS 25.0 software was used for statistical analysis. If the missing data exceeds 5% of the questionnaire, it is considered as unqualified. For items with fewer missing values (&#x003C;5%), mean imputation is used for continuous variables, and mode imputation is used for categorical variables. For quantitative data, normality and homogeneity of variance were assessed; accordingly, the <italic>t</italic> test was used for mean comparisons and the <italic>Chi-square</italic> test for proportions. Employing multivariate logistic regression allows identification of independent predictors of willingness to participate, controlling for confounding factor. Variables significant in univariate analysis or deemed conceptually relevant were included in the multivariate model. The significance level was set at <italic>&#x03B1;</italic> =&#x202F;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="sec6">
<label>3</label>
<title>Results</title>
<sec id="sec7">
<label>3.1</label>
<title>Basic information</title>
<p>A total of 423 valid questionnaires were recovered. The average age of the healthy subjects was 29.13&#x202F;&#x00B1;&#x202F;8.20&#x202F;years old, including 168 males and 255 females, with a gender ratio of 0.66:1. The Han ethnicity was the dominant group, accounting for 94.80% (401/423). Healthy subjects from rural areas accounted for 57.92% (245/423). Those with a college and above was the main group in terms of education, accounting for 79.67% (337/423). Unmarried and childless groups were the main groups, accounting for 60.99% (258/423) and 66.90% (283/423) respectively. The average monthly income was mainly &#x2265;5,000 yuan (38.53%, 163/423), followed by 3,000&#x2013;4,999 yuan (37.83%, 160/423), and finally &#x003C;3,000 yuan (23.64%, 100/423) (see <xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Basic information of healthy subjects.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top"><italic>N</italic></th>
<th align="center" valign="top">Mean (M)/constituent ratio (%)</th>
<th align="center" valign="top">Standard deviation (SD)/cumulative constituent ratio (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age (years)</td>
<td align="center" valign="middle">423</td>
<td align="char" valign="middle" char=".">29.13</td>
<td align="char" valign="middle" char=".">8.20</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Gender</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">168</td>
<td align="char" valign="middle" char=".">39.72</td>
<td align="char" valign="middle" char=".">39.72</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">255</td>
<td align="char" valign="middle" char=".">60.28</td>
<td align="char" valign="middle" char=".">100.00</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Ethnicity</td>
</tr>
<tr>
<td align="left" valign="middle">Han</td>
<td align="center" valign="middle">401</td>
<td align="char" valign="middle" char=".">94.80</td>
<td align="char" valign="middle" char=".">94.80</td>
</tr>
<tr>
<td align="left" valign="middle">Other</td>
<td align="center" valign="middle">22</td>
<td align="char" valign="middle" char=".">5.20</td>
<td align="char" valign="middle" char=".">100.00</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Residence</td>
</tr>
<tr>
<td align="left" valign="middle">Urban</td>
<td align="center" valign="middle">178</td>
<td align="char" valign="middle" char=".">42.08</td>
<td align="char" valign="middle" char=".">42.08</td>
</tr>
<tr>
<td align="left" valign="middle">Rural</td>
<td align="center" valign="middle">245</td>
<td align="char" valign="middle" char=".">57.92</td>
<td align="char" valign="middle" char=".">100.00</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Education level</td>
</tr>
<tr>
<td align="left" valign="middle">Junior high school and below</td>
<td align="center" valign="middle">34</td>
<td align="char" valign="middle" char=".">8.04</td>
<td align="char" valign="middle" char=".">8.04</td>
</tr>
<tr>
<td align="left" valign="middle">Senior high school</td>
<td align="center" valign="middle">52</td>
<td align="char" valign="middle" char=".">12.29</td>
<td align="char" valign="middle" char=".">20.33</td>
</tr>
<tr>
<td align="left" valign="middle">College and above</td>
<td align="center" valign="middle">337</td>
<td align="char" valign="middle" char=".">79.67</td>
<td align="char" valign="middle" char=".">100.00</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Marital status</td>
</tr>
<tr>
<td align="left" valign="top">Unmarried</td>
<td align="center" valign="middle">258</td>
<td align="char" valign="middle" char=".">60.99</td>
<td align="char" valign="middle" char=".">60.99</td>
</tr>
<tr>
<td align="left" valign="top">Married</td>
<td align="center" valign="middle">144</td>
<td align="char" valign="middle" char=".">34.04</td>
<td align="char" valign="middle" char=".">95.03</td>
</tr>
<tr>
<td align="left" valign="top">Divorce</td>
<td align="center" valign="middle">21</td>
<td align="char" valign="middle" char=".">4.97</td>
<td align="char" valign="middle" char=".">100.00</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Number of children</td>
</tr>
<tr>
<td align="left" valign="middle">Childless</td>
<td align="center" valign="middle">283</td>
<td align="char" valign="middle" char=".">66.90</td>
<td align="char" valign="middle" char=".">66.90</td>
</tr>
<tr>
<td align="left" valign="middle">Only one</td>
<td align="center" valign="middle">97</td>
<td align="char" valign="middle" char=".">22.93</td>
<td align="char" valign="middle" char=".">89.83</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2265;2</td>
<td align="center" valign="middle">43</td>
<td align="char" valign="middle" char=".">10.17</td>
<td align="char" valign="middle" char=".">100.00</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Average monthly income (yuan)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x003C;3,000</td>
<td align="center" valign="middle">100</td>
<td align="char" valign="middle" char=".">23.64</td>
<td align="char" valign="middle" char=".">23.64</td>
</tr>
<tr>
<td align="left" valign="middle">3,000&#x202F;~&#x202F;4,999</td>
<td align="center" valign="middle">160</td>
<td align="char" valign="middle" char=".">37.83</td>
<td align="char" valign="middle" char=".">61.47</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2265;5,000</td>
<td align="center" valign="middle">163</td>
<td align="char" valign="middle" char=".">38.53</td>
<td align="char" valign="middle" char=".">100.00</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Employment</td>
</tr>
<tr>
<td align="left" valign="middle">Full-time job</td>
<td align="center" valign="middle">250</td>
<td align="char" valign="middle" char=".">59.10</td>
<td align="char" valign="middle" char=".">59.10</td>
</tr>
<tr>
<td align="left" valign="middle">Seeking employment</td>
<td align="center" valign="middle">56</td>
<td align="char" valign="middle" char=".">13.24</td>
<td align="char" valign="middle" char=".">72.34</td>
</tr>
<tr>
<td align="left" valign="middle">Unemployed individuals not actively seeking work</td>
<td align="center" valign="middle">117</td>
<td align="char" valign="middle" char=".">27.66</td>
<td align="char" valign="middle" char=".">100.00</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Smoke</td>
</tr>
<tr>
<td align="left" valign="top">Quit smoking</td>
<td align="center" valign="middle">34</td>
<td align="char" valign="middle" char=".">8.04</td>
<td align="char" valign="middle" char=".">8.04</td>
</tr>
<tr>
<td align="left" valign="top">Smoking</td>
<td align="center" valign="middle">38</td>
<td align="char" valign="middle" char=".">8.98</td>
<td align="char" valign="middle" char=".">17.02</td>
</tr>
<tr>
<td align="left" valign="top">Never smoke</td>
<td align="center" valign="middle">351</td>
<td align="char" valign="middle" char=".">82.98</td>
<td align="char" valign="middle" char=".">100.00</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Drink</td>
</tr>
<tr>
<td align="left" valign="top">Quit drinking</td>
<td align="center" valign="middle">57</td>
<td align="char" valign="middle" char=".">13.48</td>
<td align="char" valign="middle" char=".">13.48</td>
</tr>
<tr>
<td align="left" valign="top">Drinking</td>
<td align="center" valign="middle">58</td>
<td align="char" valign="middle" char=".">13.71</td>
<td align="char" valign="middle" char=".">27.19</td>
</tr>
<tr>
<td align="left" valign="top">Never drinking</td>
<td align="center" valign="middle">308</td>
<td align="char" valign="middle" char=".">72.81</td>
<td align="char" valign="middle" char=".">100.00</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec8">
<label>3.2</label>
<title>Results of the univariate analysis on predictors of willingness to participation among healthy subjects</title>
<p>A total of 227 healthy subjects reported their willingness to participate, resulting in a participation willingness rate of 53.66%. Univariate analysis of healthy subjects&#x2019; willingness to participate revealed statistically significant differences between the two groups with respect to the following variables: gender, residence, average monthly income, employment, level of understanding of clinical trials, history of Clinical Trials, history of clinical trials among relatives and friends, understanding the functions of an ethics committee, and when participating in clinical trials, seek advice from relatives and friends. No statistically significant differences were observed about age, ethnicity, marital status, number of children, smoke, drink, and relatives and friends work in the medical industry (see <xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Results of the univariate analysis on predictors of willingness to participation among healthy subjects.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top"><italic>N</italic></th>
<th align="center" valign="top">Willingness to participate (<italic>n</italic><sub>1</sub> =&#x202F;227)</th>
<th align="center" valign="top">Non-willingness to participate (<italic>n</italic><sub>2</sub> =&#x202F;196)</th>
<th align="center" valign="top"><italic>t/&#x03C7;<sup>2</sup></italic> value</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age (years)</td>
<td align="center" valign="middle">423</td>
<td align="center" valign="middle">29.46 &#x00B1;&#x202F;8.24</td>
<td align="center" valign="middle">28.73 &#x00B1;&#x202F;8.15</td>
<td align="char" valign="middle" char=".">0.911</td>
<td align="center" valign="middle">0.363</td>
</tr>
<tr>
<td align="left" valign="middle">Gender</td>
<td/>
<td/>
<td/>
<td align="char" valign="middle" char=".">12.644</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">168</td>
<td align="center" valign="middle">108</td>
<td align="center" valign="middle">60</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">255</td>
<td align="center" valign="middle">119</td>
<td align="center" valign="middle">136</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Ethnicity</td>
<td/>
<td/>
<td/>
<td align="char" valign="middle" char=".">0.125</td>
<td align="center" valign="middle">0.723</td>
</tr>
<tr>
<td align="left" valign="middle">Han</td>
<td align="center" valign="middle">401</td>
<td align="center" valign="middle">216</td>
<td align="center" valign="middle">185</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Other</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">11</td>
<td align="center" valign="middle">11</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Residence</td>
<td/>
<td/>
<td/>
<td align="char" valign="middle" char=".">14.867</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Urban</td>
<td align="center" valign="middle">178</td>
<td align="center" valign="middle">76</td>
<td align="center" valign="middle">102</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Rural</td>
<td align="center" valign="middle">245</td>
<td align="center" valign="middle">151</td>
<td align="center" valign="middle">94</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Education level</td>
<td/>
<td/>
<td/>
<td align="char" valign="middle" char=".">21.417</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Junior high school and below</td>
<td align="center" valign="middle">34</td>
<td align="center" valign="middle">24</td>
<td align="center" valign="middle">10</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Senior high school</td>
<td align="center" valign="middle">52</td>
<td align="center" valign="middle">41</td>
<td align="center" valign="middle">11</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">College and above</td>
<td align="center" valign="middle">337</td>
<td align="center" valign="middle">162</td>
<td align="center" valign="middle">175</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Marital status</td>
<td/>
<td/>
<td/>
<td align="char" valign="middle" char=".">3.181</td>
<td align="center" valign="middle">0.204</td>
</tr>
<tr>
<td align="left" valign="middle">Unmarried</td>
<td align="center" valign="middle">258</td>
<td align="center" valign="middle">139</td>
<td align="center" valign="middle">119</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Married</td>
<td align="center" valign="middle">144</td>
<td align="center" valign="middle">73</td>
<td align="center" valign="middle">71</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Divorce</td>
<td align="center" valign="middle">21</td>
<td align="center" valign="middle">15</td>
<td align="center" valign="middle">6</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Number of children</td>
<td/>
<td/>
<td/>
<td align="char" valign="middle" char=".">2.605</td>
<td align="center" valign="middle">0.272</td>
</tr>
<tr>
<td align="left" valign="middle">Childless</td>
<td align="center" valign="middle">283</td>
<td align="center" valign="middle">147</td>
<td align="center" valign="middle">136</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Only one</td>
<td align="center" valign="middle">97</td>
<td align="center" valign="middle">52</td>
<td align="center" valign="middle">45</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">&#x2265;2</td>
<td align="center" valign="middle">43</td>
<td align="center" valign="middle">28</td>
<td align="center" valign="middle">15</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Average monthly income (yuan)</td>
<td/>
<td/>
<td/>
<td align="char" valign="middle" char=".">7.509</td>
<td align="center" valign="middle">0.023</td>
</tr>
<tr>
<td align="left" valign="middle">&#x003C;3,000</td>
<td align="center" valign="middle">100</td>
<td align="center" valign="middle">57</td>
<td align="center" valign="middle">43</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">3,000&#x202F;~&#x202F;4,999</td>
<td align="center" valign="middle">160</td>
<td align="center" valign="middle">96</td>
<td align="center" valign="middle">64</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">&#x2265;5,000</td>
<td align="center" valign="middle">163</td>
<td align="center" valign="middle">74</td>
<td align="center" valign="middle">89</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Employment</td>
<td/>
<td/>
<td/>
<td align="char" valign="middle" char=".">27.892</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Full-time job</td>
<td align="center" valign="middle">250</td>
<td align="center" valign="middle">117</td>
<td align="center" valign="middle">133</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Seeking employment</td>
<td align="center" valign="middle">56</td>
<td align="center" valign="middle">48</td>
<td align="center" valign="middle">8</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Unemployed individuals not actively seeking work</td>
<td align="center" valign="middle">117</td>
<td align="center" valign="middle">62</td>
<td align="center" valign="middle">55</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Smoke</td>
<td/>
<td/>
<td/>
<td align="char" valign="middle" char=".">2.850</td>
<td align="center" valign="middle">0.240</td>
</tr>
<tr>
<td align="left" valign="middle">Quit smoking</td>
<td align="center" valign="middle">34</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">12</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Smoking</td>
<td align="center" valign="middle">38</td>
<td align="center" valign="middle">23</td>
<td align="center" valign="middle">15</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Never smoking</td>
<td align="center" valign="middle">351</td>
<td align="center" valign="middle">182</td>
<td align="center" valign="middle">169</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Drink</td>
<td/>
<td/>
<td/>
<td align="char" valign="middle" char=".">4.221</td>
<td align="center" valign="middle">0.121</td>
</tr>
<tr>
<td align="left" valign="middle">Quit drinking</td>
<td align="center" valign="middle">57</td>
<td align="center" valign="middle">33</td>
<td align="center" valign="middle">24</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Drinking</td>
<td align="center" valign="middle">58</td>
<td align="center" valign="middle">24</td>
<td align="center" valign="middle">34</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Never drinking</td>
<td align="center" valign="middle">308</td>
<td align="center" valign="middle">170</td>
<td align="center" valign="middle">138</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Relatives and friends work in the medical industry</td>
<td/>
<td/>
<td/>
<td align="char" valign="middle" char=".">1.233</td>
<td align="center" valign="middle">0.284</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="center" valign="middle">210</td>
<td align="center" valign="middle">107</td>
<td align="center" valign="middle">103</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="center" valign="middle">213</td>
<td align="center" valign="middle">120</td>
<td align="center" valign="middle">93</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Level of understanding of clinical trials</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">51.215</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Good</td>
<td align="center" valign="top">182</td>
<td align="center" valign="top">133</td>
<td align="center" valign="top">49</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Moderate</td>
<td align="center" valign="top">140</td>
<td align="center" valign="top">61</td>
<td align="center" valign="top">79</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Poor</td>
<td align="center" valign="top">101</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">68</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">History of Clinical Trials</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">27.641</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">49</td>
<td align="center" valign="top">8</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">366</td>
<td align="center" valign="top">178</td>
<td align="center" valign="top">188</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">History of clinical trials among relatives and friends</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">12.387</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">4</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">395</td>
<td align="center" valign="top">203</td>
<td align="center" valign="top">192</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">When participating in clinical trials, seek advice from relatives and friends</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">9.724</td>
<td align="center" valign="top">0.002</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">320</td>
<td align="center" valign="top">158</td>
<td align="center" valign="top">162</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">69</td>
<td align="center" valign="top">34</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Understanding the functions of an ethics committee</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">45.980</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">136</td>
<td align="center" valign="top">53</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">234</td>
<td align="center" valign="top">91</td>
<td align="center" valign="top">143</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec9">
<label>3.3</label>
<title>Results of the logistic regression analysis on predictors of willingness to participation among healthy subjects</title>
<p>The willingness to participate was a binary variable, with the assignment: &#x201C;0&#x201D;&#x202F;=&#x202F;non-willingness to participate, &#x201C;1&#x201D;&#x202F;=&#x202F;willingness to participate. Variables with statistically significant results in the univariate preliminary screening and those considered meaningful based on experience were included in the Logistic regression model, with a total of 11 variables included. Logistic regression identified three significant predictors: urban residence (<italic>OR</italic> =&#x202F;2.175, <italic>95%CI</italic>: 1.291&#x2013;3.664), being unemployed individuals not actively seeking work (<italic>OR</italic> =&#x202F;2.891, <italic>95%CI</italic>: 1.134&#x2013;7.371), and having a moderate understanding of clinical trials (<italic>OR</italic> =&#x202F;3.906, <italic>95%CI</italic>: 1.950&#x2013;7.827). Interestingly, awareness of ethics committee functions was associated with lower willingness (<italic>OR</italic> =&#x202F;0.565, <italic>95%CI</italic>: 0.335&#x2013;0.952). Other factors, such as age, gender, education, income, prior trial experience, and advice from relatives, were not statistically significant (see <xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Results of the logistic regression analysis on predictors of willingness to participation among healthy subjects.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="left" valign="top">Variable assignment</th>
<th align="center" valign="top"><italic>B</italic></th>
<th align="center" valign="top">SE</th>
<th align="center" valign="top"><italic>&#x03C7;<sup>2</sup></italic></th>
<th align="center" valign="top"><italic>P</italic>-value</th>
<th align="center" valign="top">OR (95%CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Constant</td>
<td/>
<td align="char" valign="middle" char=".">&#x2212;0.336</td>
<td align="char" valign="middle" char=".">0.994</td>
<td align="char" valign="middle" char=".">0.114</td>
<td align="center" valign="middle">0.735</td>
<td align="center" valign="middle">0.715</td>
</tr>
<tr>
<td align="left" valign="middle">Age</td>
<td align="left" valign="middle">Continuous variable</td>
<td align="char" valign="middle" char=".">0.036</td>
<td align="char" valign="middle" char=".">0.020</td>
<td align="char" valign="middle" char=".">3.202</td>
<td align="center" valign="middle">0.074</td>
<td align="center" valign="middle">1.036(0.997&#x2013;1.077)</td>
</tr>
<tr>
<td align="left" valign="middle">Gender</td>
<td align="left" valign="middle">Female&#x202F;=&#x202F;0, Male&#x202F;=&#x202F;1</td>
<td align="char" valign="middle" char=".">&#x2212;0.379</td>
<td align="char" valign="middle" char=".">0.258</td>
<td align="char" valign="middle" char=".">2.158</td>
<td align="center" valign="middle">0.142</td>
<td align="center" valign="middle">0.685(0.413&#x2013;1.135)</td>
</tr>
<tr>
<td align="left" valign="middle">Residence</td>
<td align="left" valign="middle">Rural&#x202F;=&#x202F;0, Urban&#x202F;=&#x202F;1</td>
<td align="char" valign="middle" char=".">0.777</td>
<td align="char" valign="middle" char=".">0.266</td>
<td align="char" valign="middle" char=".">8.529</td>
<td align="center" valign="middle"><bold>0.003</bold></td>
<td align="center" valign="middle">2.175(1.291&#x2013;3.664)</td>
</tr>
<tr>
<td align="left" valign="middle">Education level</td>
<td align="left" valign="middle">Dummy variable</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Senior high school</td>
<td/>
<td align="char" valign="middle" char=".">0.212</td>
<td align="char" valign="middle" char=".">0.561</td>
<td align="char" valign="middle" char=".">0.143</td>
<td align="center" valign="middle">0.705</td>
<td align="center" valign="middle">1.236(0.412&#x2013;3.710)</td>
</tr>
<tr>
<td align="left" valign="middle">College and above</td>
<td/>
<td align="char" valign="middle" char=".">0.510</td>
<td align="char" valign="middle" char=".">0.447</td>
<td align="char" valign="middle" char=".">1.300</td>
<td align="center" valign="middle">0.254</td>
<td align="center" valign="middle">1.665(0.693&#x2013;3.999)</td>
</tr>
<tr>
<td align="left" valign="middle">Average monthly income (yuan)</td>
<td align="left" valign="middle">Dummy variable</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">3,000&#x202F;~&#x202F;4,999</td>
<td/>
<td align="char" valign="middle" char=".">0.628</td>
<td align="char" valign="middle" char=".">0.338</td>
<td align="char" valign="middle" char=".">3.467</td>
<td align="center" valign="middle">0.063</td>
<td align="center" valign="middle">1.875(0.967&#x2013;3.633)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2265;5,000</td>
<td/>
<td align="char" valign="middle" char=".">0.504</td>
<td align="char" valign="middle" char=".">0.274</td>
<td align="char" valign="middle" char=".">3.393</td>
<td align="center" valign="middle">0.065</td>
<td align="center" valign="middle">1.656(0.968&#x2013;2.831)</td>
</tr>
<tr>
<td align="left" valign="middle">Employment</td>
<td align="left" valign="middle">Dummy variable</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Seeking employment</td>
<td/>
<td align="char" valign="middle" char=".">&#x2212;0.131</td>
<td align="char" valign="middle" char=".">0.311</td>
<td align="char" valign="middle" char=".">0.179</td>
<td align="center" valign="middle">0.673</td>
<td align="center" valign="middle">0.877(0.477&#x2013;1.613)</td>
</tr>
<tr>
<td align="left" valign="middle">Unemployed individuals not actively seeking work</td>
<td/>
<td align="char" valign="middle" char=".">1.062</td>
<td align="char" valign="middle" char=".">0.478</td>
<td align="char" valign="middle" char=".">4.941</td>
<td align="center" valign="middle"><bold>0.026</bold></td>
<td align="center" valign="middle">2.891(1.134&#x2013;7.371)</td>
</tr>
<tr>
<td align="left" valign="middle">Level of understanding of clinical trials</td>
<td align="left" valign="middle">Dummy variable</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Moderate</td>
<td/>
<td align="char" valign="middle" char=".">1.363</td>
<td align="char" valign="middle" char=".">0.355</td>
<td align="char" valign="middle" char=".">14.769</td>
<td align="center" valign="middle"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="middle">3.906(1.950&#x2013;7.827)</td>
</tr>
<tr>
<td align="left" valign="middle">Poor</td>
<td/>
<td align="char" valign="middle" char=".">0.393</td>
<td align="char" valign="middle" char=".">0.319</td>
<td align="char" valign="middle" char=".">1.526</td>
<td align="center" valign="middle">0.217</td>
<td align="center" valign="middle">1.482(0.794&#x2013;2.767)</td>
</tr>
<tr>
<td align="left" valign="middle">History of clinical trials</td>
<td align="left" valign="middle">No&#x202F;=&#x202F;0, Yes&#x202F;=&#x202F;1</td>
<td align="char" valign="middle" char=".">&#x2212;0.750</td>
<td align="char" valign="middle" char=".">0.469</td>
<td align="char" valign="middle" char=".">2.563</td>
<td align="center" valign="middle">0.109</td>
<td align="center" valign="middle">0.472(0.189&#x2013;1.183)</td>
</tr>
<tr>
<td align="left" valign="middle">History of clinical trials among relatives and friends</td>
<td align="left" valign="middle">No&#x202F;=&#x202F;0, Yes&#x202F;=&#x202F;1</td>
<td align="char" valign="middle" char=".">&#x2212;1.041</td>
<td align="char" valign="middle" char=".">0.626</td>
<td align="char" valign="middle" char=".">2.768</td>
<td align="center" valign="middle">0.096</td>
<td align="center" valign="middle">0.353(0.104&#x2013;1.204)</td>
</tr>
<tr>
<td align="left" valign="middle">When participating in clinical trials, seek advice from relatives and friends</td>
<td align="left" valign="middle">No&#x202F;=&#x202F;0, Yes&#x202F;=&#x202F;1</td>
<td align="char" valign="middle" char=".">0.407</td>
<td align="char" valign="middle" char=".">0.273</td>
<td align="char" valign="middle" char=".">2.213</td>
<td align="center" valign="middle">0.137</td>
<td align="center" valign="middle">1.502(0.879&#x2013;2.567)</td>
</tr>
<tr>
<td align="left" valign="middle">Understanding the functions of an ethics committee</td>
<td align="left" valign="middle">No&#x202F;=&#x202F;0, Yes&#x202F;=&#x202F;1</td>
<td align="char" valign="middle" char=".">&#x2212;0.571</td>
<td align="char" valign="middle" char=".">0.266</td>
<td align="char" valign="middle" char=".">4.593</td>
<td align="center" valign="middle"><bold>0.032</bold></td>
<td align="center" valign="middle">0.565(0.335&#x2013;0.952)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Bold value indicates <italic>p</italic> &#x003C; 0.05.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec10">
<label>4</label>
<title>Discussion</title>
<p>Clinical drug trials represent a critical phase in pharmaceutical development, and healthy subjects serve as one of the essential participants in these studies. Understanding the willingness of potential healthy subjects to participate, clarifying the factors influencing their willingness, and implementing targeted measures to enhance their participation are crucial for improving clinical trial enrollment rates.</p>
<p>This survey found that the willingness of potential healthy subjects to participate in clinical trials was 53.66%, which is higher than the results reported by Chu et al. (<xref ref-type="bibr" rid="ref9">9</xref>) in South Korea, significantly lower than the findings of Almutairi et al. (<xref ref-type="bibr" rid="ref10">10</xref>) and Bouida et al. (<xref ref-type="bibr" rid="ref11">11</xref>), and similar to the results of Raheja et al. (<xref ref-type="bibr" rid="ref12">12</xref>) The considerable variation in participation rates across different regions and countries may be related to factors such as fear of investigational drugs or devices, lack of time, as well as social customs and cultural differences. Therefore, conducting region-specific investigations is essential to better enhance the participation rate of healthy subjects in clinical trials.</p>
<p>Unlike patient subjects who are motivated by potential clinical benefits, healthy subjects generally exhibit lower willingness to participate in trials since they do not seek therapeutic gains (<xref ref-type="bibr" rid="ref13 ref14 ref15">13&#x2013;15</xref>). Currently, most healthy subjects participating in clinical trials are individuals in need of financial compensation and with ample spare time, such as the unemployed individuals not actively seeking work or university students. Furthermore, the willingness of healthy subjects to participate is also influenced by the type of trial; for example, willingness is significantly lower for trials involving invasive procedures or those with serious side effects compared to non-invasive studies (<xref ref-type="bibr" rid="ref16">16</xref>). Although this study did not differentiate among types of potential trial projects, practical experience has shown that participation rates tend to be higher for low-risk studies, such as dermal tests and other non-invasive, non-oral drug administration trials.</p>
<p>Our findings indicate that place of residence, employment status, and level of understanding of clinical trials serve as significant predictors of participation willingness. The results demonstrated that urban healthy subjects exhibited a significantly higher willingness to participate in clinical trials compared to those from rural areas. This discrepancy may be attributed to the more accessible dissemination of clinical trial knowledge and health education in urban settings, where individuals are more likely to be exposed to relevant information, leading to greater awareness and understanding of clinical trials (<xref ref-type="bibr" rid="ref17">17</xref>). Complementarily, urban areas are typically endowed with more abundant medical resources and a higher concentration of clinical trial institutions, which enhances participation convenience while reducing associated time and transportation costs. Beyond structural advantages, urban populations often exhibit more open attitudes toward novel experiences and innovations, translating to a greater propensity to engage in clinical trials.</p>
<p>Furthermore, this urban&#x2013;rural disparity is underpinned by structural socioeconomic determinants: urban populations generally demonstrate higher aggregate health literacy and educational attainment, which facilitate the comprehension of trial protocols and nuanced risk benefit assessments. Concurrently, differential access to digital information and technology &#x2013; often substantially limited in rural settings &#x2013; may constrain awareness of trial opportunities and reinforce informational inequities. Finally, variations in institutional trust and social capital between urban and rural communities could modulate perceptions of safety and willingness to engage in formal clinical research endeavors.</p>
<p>Our study revealed that unemployed individuals not actively seeking work healthy subjects demonstrated a higher willingness to participate compared to their employed counterparts, which contrasts with the findings reported by Rein-Hedin et al. (<xref ref-type="bibr" rid="ref2">2</xref>) This discrepancy may be explained by the fact that most unemployed individuals not actively seeking work individuals lack a stable income and have more flexible schedules, enabling them to accommodate the time requirements of clinical trials more easily and reducing conflicts arising from employment obligations. Furthermore, some unemployed individuals not actively seeking work individuals may experience financial pressures, making the financial compensation offered for trial participation a motivating factor (<xref ref-type="bibr" rid="ref15">15</xref>). Consequently, they may be more inclined to accept potential risks associated with clinical trials, thereby increasing their willingness to participate. This study found no evidence that healthy subjects actively seeking employment exhibited a higher willingness to participate. While both unemployed individuals not actively seeking work and those actively seeking employment lack permanent jobs, healthy subjects in the job-seeking group typically prioritize job-seeking as their primary focus and allocate their time and energy accordingly. They may be concerned that participating in clinical trials could interfere with their job search process, which could contribute to their lower willingness to participate.</p>
<p>The present study found that healthy subjects with a moderate level of awareness of clinical trials showed a significantly higher willingness to participate compared to those with lower levels of understanding. This is inconsistent with the research results of Elshammaa et al. (<xref ref-type="bibr" rid="ref18">18</xref>), which may be related to cultural customs. When individuals have a clearer understanding of the objectives, procedures, potential risks, and benefits of clinical trials, they are better equipped to conduct a rational assessment of the advantages and disadvantages of involvement, thereby increasing their willingness to enroll. In contrast, those with limited awareness are more likely to hold misconceptions or concerns, such as fears about potential physical harm from investigational drugs or doubts regarding the safety of trial procedures, which may diminish their inclination to participate. It is noteworthy that while descriptive data suggested an association between high understanding and willingness, it did not emerge as a significant independent predictor in the multivariate model. This may indicate a non-linear relationship, where moderate knowledge optimally reduces uncertainty and fosters willingness, whereas high understanding may involve more complex, conditional decision-making that does not uniformly translate into higher participation intent.</p>
<p>Our study revealed a counterintuitive finding: healthy subjects aware of the functions of an ethics committee exhibited a lower willingness to participate, which contrasts with some prior studies conducted primarily in patient populations (<xref ref-type="bibr" rid="ref19">19</xref>). This discrepancy may be explained by the unique perspective of healthy volunteers, who undertake risk without therapeutic benefit. For them, knowledge of ethical oversight might not merely signify protection, but also heighten the salience of potential risks and procedural burdens, leading to more cautious assessment. Furthermore, awareness could correlate with greater scrutiny of the informed consent process and the real-world independence of ethics committees, potentially uncovering reservations about their effectiveness in practice (<xref ref-type="bibr" rid="ref20">20</xref>). This finding may also reflect a specific socio-cultural context where institutional trust is nuanced. Therefore, while ethical oversight is fundamental, simply increasing awareness of its existence may not be sufficient to bolster willingness among healthy subjects; instead, demonstrating its tangible effectiveness and commitment to participant welfare through transparent communication might be more critical.</p>
<p>Existing research suggests that younger (<xref ref-type="bibr" rid="ref21">21</xref>), those with a history of clinical trial participation (<xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref23">23</xref>), female (<xref ref-type="bibr" rid="ref24">24</xref>), subjects with lower income levels (<xref ref-type="bibr" rid="ref3">3</xref>), and those receiving recommendations from healthcare providers (<xref ref-type="bibr" rid="ref8">8</xref>) are generally more inclined to participate in clinical trials. However, our study did not identify significant differences between the groups regarding these factors. This discrepancy may be attributable to the relatively small sample size and the narrow age distribution of the participants. Future multi-center studies with larger sample sizes are needed to better elucidate the influence of these factors on the willingness of healthy subjects to participate in clinical trials.</p>
<p>Although this study comprehensively discussed the factors affecting healthy subjects&#x2019; willingness to participate in clinical trials, it has several limitations. First, the cross-sectional design precludes causal inferences regarding the factors associated with willingness to participate. Second, the use of convenience sampling from a single geographic region limits the generalizability of the findings. Third, self-reported data are subject to social desirability and recall biases. Fourth, the assessment of willingness did not differentiate between types of clinical trials (e.g., invasive vs. non-invasive), which may influence real-world decisions. Finally, the sample size and concentrated age range may have limited the detection of some associations.</p>
<p>Despite these limitations, the study provides initial insights into an under-researched population in the Chinese context. Future studies with longitudinal designs, probability sampling, and differentiation of trial types are warranted to enhance causal inference and generalizability.</p>
</sec>
<sec sec-type="conclusions" id="sec11">
<label>5</label>
<title>Conclusion</title>
<p>This study systematically elucidated the epidemiological characteristics of healthy subjects and the factors influencing their willingness to participate in clinical trials. The results indicated that urban residents, unemployed individuals not actively seeking work, and those with a moderate level of understanding of clinical trials exhibited a higher willingness to participate. In contrast, subjects unaware of the functions of an ethics committee showed lower willingness. These findings refine the characteristic profile of potential healthy subjects and provide a direct basis for developing targeted recruitment strategies, such as strengthening trial-related education in medically underserved communities and adopting differentiated communication to address specific information and motivation gaps.</p>
<p>Conducting comparative studies across different socioeconomic and cultural contexts, delving into the psychological mechanisms behind healthy subjects&#x2019; decisions to participate in clinical trials, and systematically designing and evaluating targeted recruitment programs represent critical steps for translating these insights into practice. Implementing these strategies may increase willingness among healthy subjects to engage in clinical trials, alleviate recruitment challenges, ensure the smooth progress of clinical trials, and ultimately promote the healthy development of pharmaceutical research.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec12">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec13">
<title>Ethics statement</title>
<p>Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent from the [patients/participants OR patients/participants legal guardian/next of kin] was not required to participate in this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec14">
<title>Author contributions</title>
<p>ZS: Data curation, Visualization, Conceptualization, Writing &#x2013; original draft, Methodology, Validation, Writing &#x2013; review &#x0026; editing, Formal analysis. TW: Validation, Formal analysis, Methodology, Data curation, Writing &#x2013; original draft, Visualization, Writing &#x2013; review &#x0026; editing, Conceptualization. F-FL: Writing &#x2013; original draft, Formal analysis, Visualization, Validation, Data curation, Writing &#x2013; review &#x0026; editing, Methodology. Q-QD: Methodology, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Data curation, Validation, Visualization. X-QL: Writing &#x2013; original draft, Data curation, Visualization, Validation, Writing &#x2013; review &#x0026; editing. QL: Data curation, Validation, Writing &#x2013; original draft, Visualization, Writing &#x2013; review &#x0026; editing. Y-JZ: Data curation, Visualization, Validation, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. L-LF: Validation, Supervision, Conceptualization, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Methodology.</p>
</sec>
<sec sec-type="COI-statement" id="sec15">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec16">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</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>
<sec sec-type="disclaimer" id="sec17">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0002"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1989008/overview">Muhammad Iqhrammullah</ext-link>, Universitas Muhammadiyah Aceh, Indonesia</p></fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0003"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3047478/overview">Vindasya Almeira</ext-link>, University of Indonesia, Indonesia</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3305712/overview">Garend Jafar</ext-link>, Syiah Kuala University, Indonesia</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3343675/overview">Farrah Fahdhienie</ext-link>, Universitas Muhammadiyah Aceh, Indonesia</p></fn>
</fn-group>
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</article>