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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2023.1124588</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The relation between college students&#x2019; neuroticism and loneliness: The chain mediating roles of self-efficacy, social avoidance and distress</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Shuna</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1735029/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kong</surname>
<given-names>Kaizhen</given-names>
</name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2269858/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Kaijie</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2269802/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Niu</surname>
<given-names>Hua</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1757838/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>College of Marxism, Shandong University of Science and Technology</institution>, <addr-line>Qingdao</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Student Affairs, Shandong University of Science and Technology</institution>, <addr-line>Qingdao</addr-line>, <country>China</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: Jes&#x00FA;s-Nicasio Garc&#x00ED;a-S&#x00E1;nchez, Universidad de Le&#x00F3;n, Spain</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: Denghao Zhang, Renmin University of China, China; Lei Han, Shandong Normal University, China; Myoung Ho Hyun, Chung-Ang University, Republic of Korea</p></fn>
<corresp id="c001">&#x002A;Correspondence: Hua Niu, <email>niuhua_890209@126.com</email></corresp>
<fn id="fn0003" fn-type="other"><p>This article was submitted to Personality and Social Psychology, a section of the journal Frontiers in Psychology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>04</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1124588</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>03</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Li, Kong, Zhang and Niu.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Li, Kong, Zhang and Niu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Recently, identifying the psychological mechanism of college students&#x2019; loneliness has attracted wide attention because the maladjustment caused by college students&#x2019; loneliness is increasingly common. This study explored the relationship and potential mechanism between college students&#x2019; neuroticism and loneliness in a large sample.</p>
</sec>
<sec>
<title>Methods</title>
<p>A total of 4,600 college students completed the Big Five Personality Scale, Loneliness Scale, Self-efficacy Scale and Social Avoidance and Distress Scale.</p>
</sec>
<sec>
<title>Results</title>
<p>By examining the chain mediating roles of self-efficacy, social avoidance and distress (SAD) in the relation between neuroticism and loneliness, the present study found that college students&#x2019; neuroticism was positively associated with loneliness <italic>via</italic> self-efficacy and SAD, respectively, and sequentially.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The results suggest a significant positive association between neuroticism and loneliness, which is influenced by the mediating effects of both self-efficacy and social avoidance and distress (SAD), as well as the chained mediating effects of self-efficacy and SAD.</p>
</sec>
</abstract>
<kwd-group>
<kwd>neuroticism</kwd>
<kwd>loneliness</kwd>
<kwd>self-efficacy</kwd>
<kwd>social avoidance and distress</kwd>
<kwd>college students</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="63"/>
<page-count count="8"/>
<word-count count="6519"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec1" sec-type="intro">
<title>Introduction</title>
<p>Loneliness is the distress that results from a discrepancy between desired and actual social relationships (<xref ref-type="bibr" rid="ref43">Perlman and Peplau, 1984</xref>). According to Erikson&#x2019;s psychological development stage theory, college students in the conflict stage between intimacy and loneliness easily feel loneliness during social communication. Generally, college students&#x2019; loneliness will reach the highest level when they are at 20&#x2009;years of age (<xref ref-type="bibr" rid="ref26">Lee et al., 2019</xref>) and are more likely to be related to more problems in several aspects of development, such as depression, anxiety, stress, low self-esteem, sleep problems, and suicidal thoughts and behaviors (<xref ref-type="bibr" rid="ref18">Harris et al., 2013</xref>; <xref ref-type="bibr" rid="ref49">Vanhalst et al., 2013</xref>). For example, loneliness leads to the individual&#x2019;s difficulty in adapting to the new environment and lifestyle and even the breaking of social ties (<xref ref-type="bibr" rid="ref12">Evren and &#x00C7;ikrikci, 2018</xref>). Because college students&#x2019; problems of maladjustment caused by loneliness are increasingly common, an increasing number of researchers have started to describe loneliness as a modern &#x201C;epidemic&#x201D; (<xref ref-type="bibr" rid="ref2">Alberti, 2018</xref>) and have paid more attention to revealing the psychological mechanism of loneliness. Thus, to provide reference value for improving college students&#x2019; loneliness and promoting mental health, it is necessary to study and analyze the factors that affect college students&#x2019; loneliness.</p>
</sec>
<sec id="sec2">
<title>Theoretical background</title>
<p>Based on the five-factor personality theory, personality traits form a series of consistent cognitive, emotional and behavioral patterns through dynamic systems. Neuroticism is one of the five personality traits in the basic orientation, which is often expressed as the tendency to experience negative emotions and emotional instability. Moreover, the response of neurotic individuals to external stimuli is stronger than that of common individuals, and their ability to regulate and respond to emotions is relatively poor. Therefore, they are often in a bad emotional state (<xref ref-type="bibr" rid="ref39">Mccrae and Costa, 1996</xref>). Previous studies have shown that individuals with high levels of neuroticism are more likely to generate negative emotions, especially loneliness (<xref ref-type="bibr" rid="ref10">Cheng and Furnham, 2002</xref>; <xref ref-type="bibr" rid="ref1">Abdellaoui et al., 2018</xref>; <xref ref-type="bibr" rid="ref42">Mourelatos, 2021</xref>). However, few studies have investigated the action process of the dynamic system between neuroticism and loneliness, which is worthy of further exploration.</p>
<p>Furthermore, pursuant to Bandura&#x2019;s self-efficacy theory, as a part of the self-system, self-efficacy is a dynamic cognitive process that makes individuals perceive, evaluate and regulate their behaviors (<xref ref-type="bibr" rid="ref3">Bandura, 1978</xref>). As the basis of human motivation, self-efficacy can affect people&#x2019;s operating mode of thoughts, behaviors, and feelings (<xref ref-type="bibr" rid="ref4">Bandura, 1986</xref>). Self-efficacy is a predictor variable of behavior (<xref ref-type="bibr" rid="ref5">Bandura, 1997</xref>), and it also directly leads to social avoidance and distress (<xref ref-type="bibr" rid="ref21">Hu et al., 2021</xref>). Therefore, this study postulates that self-efficacy and the SAD it brings about act as a chain-mediated system for neuroticism&#x2019;s impact on loneliness.</p>
<sec id="sec3">
<title>Neuroticism and loneliness</title>
<p>According to five-factor personality theory, different personality traits form consistent emotional experiences through dynamic systems (<xref ref-type="bibr" rid="ref39">Mccrae and Costa, 1996</xref>). Personality characteristics play a crucial role in the generation mechanism and process of loneliness, especially in adolescents (<xref ref-type="bibr" rid="ref410">Wieczorek et al., 2021</xref>), and personality can significantly predict loneliness (<xref ref-type="bibr" rid="ref14">Freilich et al., 2022</xref>). Numerous studies have shown a clear relation between neuroticism and negative emotions. Individuals with high neuroticism are more likely to suffer from anxiety, depression, loneliness, self-blame and more psychological distress (<xref ref-type="bibr" rid="ref33">Lund et al., 2016</xref>). Neurotic personality traits were significantly associated with loneliness (<xref ref-type="bibr" rid="ref10">Cheng and Furnham, 2002</xref>; <xref ref-type="bibr" rid="ref1">Abdellaoui et al., 2018</xref>; <xref ref-type="bibr" rid="ref9">Buecker et al., 2020</xref>). Therefore, hypothesis 1 was proposed: neuroticism is significantly correlated with loneliness.</p>
</sec>
<sec id="sec4">
<title>The mediating role of self-efficacy</title>
<p>Based on existing theories and empirical research, college students&#x2019; neuroticism may predict loneliness not only directly but also through self-efficacy. Theoretically, five-factor personality theory points out that through the dynamic system, neuroticism commonly leads to negative emotional experiences, especially loneliness (<xref ref-type="bibr" rid="ref37">Mao and Jiang, 2023</xref>). Furthermore, Bandura&#x2019;s self-efficacy theory posits that self-efficacy serves as the foundation for individual motivation and, as a result, leads to diverse behaviors and emotional experiences among individuals (<xref ref-type="bibr" rid="ref63">Zhao et al., 2023</xref>). Specifically, previous studies have shown that neuroticism significantly predicts individual self-efficacy (<xref ref-type="bibr" rid="ref59">Yuan et al., 2023</xref>). For example, neuroticism can significantly predict academic self-efficacy (<xref ref-type="bibr" rid="ref53">Wang et al., 2016</xref>) and emotional self-efficacy (<xref ref-type="bibr" rid="ref23">Jiang et al., 2018</xref>). Furthermore, many studies have suggested that self-efficacy can significantly predict loneliness (<xref ref-type="bibr" rid="ref47">Shu and Xu, 2021</xref>; <xref ref-type="bibr" rid="ref17">Gu et al., 2022</xref>). Since neuroticism can significantly predict self-efficacy and self-efficacy can significantly predict loneliness, neuroticism may also affect loneliness through the mediating effect of self-efficacy. Despite its theoretical plausibility, presently, no study has examined the mediating effect of self-efficacy on the relation between neuroticism and loneliness. Therefore, this study aimed to investigate hypothesis 2: self-efficacy mediates the relation between neuroticism and loneliness.</p>
</sec>
<sec id="sec5">
<title>The mediating role of SAD</title>
<p>SAD refers to the behavioral performance and affective response of abnormal social relationships, and personality, especially neuroticism, has an important influence on SAD (<xref ref-type="bibr" rid="ref41">Miers et al., 2014</xref>). According to the Five Factor Personality Theory, individuals with high neuroticism generally have avoidance behaviors and emotional susceptibility (<xref ref-type="bibr" rid="ref48">Tupes and Christal, 1992</xref>). Many studies have suggested that individuals with high neuroticism show more interpersonal problems, including SAD (<xref ref-type="bibr" rid="ref25">Kong, 2021</xref>; <xref ref-type="bibr" rid="ref15">Gashi et al., 2022</xref>). Moreover, on the one hand, interpersonal perception theory indicates that emotional factors in interpersonal communication can participate in perceptual processes. Thus, when individuals experience rejection and isolation from the external world, it can lead to a heightened sense of loneliness due to the emotional harm caused by others. On the other hand, loneliness can also be regarded as a marker that an individual&#x2019;s close relationship with others is inadequate or failing to meet social needs (<xref ref-type="bibr" rid="ref8">Bryan et al., 2015</xref>). For example, a previous study found that SAD can significantly predict individuals&#x2019; loneliness (<xref ref-type="bibr" rid="ref20">Hill et al., 2019</xref>). Based on the above analyses, neuroticism may affect loneliness by affecting SAD. In other words, SAD may mediate the relation between neuroticism and loneliness.</p>
</sec>
<sec id="sec6">
<title>The chain mediating effect of self-efficacy and SAD</title>
<p>As a deeper exploration of social cognitive theory, self-efficacy theory suggests paying more attention to subjective factors in ternary interactive determinism (<xref ref-type="bibr" rid="ref5">Bandura, 1997</xref>). Individuals&#x2019; psychological and behavioral changes can be realized by their sense of self-control. That is, individuals&#x2019; moods and behaviors are determined by their self-efficacy (<xref ref-type="bibr" rid="ref44">Riley et al., 2012</xref>). As individual self-efficacy decreases, it is often accompanied by a decrease in self-control, resulting in more avoidance behaviors and negative emotions. Therefore, SAD is also predicted by self-efficacy. Individuals with low self-efficacy may produce augmented avoidance, withdrawal attitudes or behaviors in subsequent social interactions (<xref ref-type="bibr" rid="ref5">Bandura, 1997</xref>; <xref ref-type="bibr" rid="ref24">Kashdan and Roberts, 2004</xref>; <xref ref-type="bibr" rid="ref47">Shu and Xu, 2021</xref>). Previous studies have shown that self-efficacy is a negative predictor of SAD (<xref ref-type="bibr" rid="ref35">Malin et al., 2013</xref>; <xref ref-type="bibr" rid="ref21">Hu et al., 2021</xref>). According to the above analyses, this study hypothesizes that the relation between neuroticism and loneliness may be mediated by self-efficacy and SAD (<xref ref-type="bibr" rid="ref35">Malin et al., 2013</xref>).</p>
</sec>
</sec>
<sec id="sec7" sec-type="methods">
<title>Methods</title>
<sec id="sec8">
<title>Participants</title>
<p>The participants in this research were recruited by cluster sampling of undergraduates in a Chinese university. A total of 4,920 questionnaires were sent out, and the sample questionnaires that with regular answers and excessive missing values were eliminated. Eventually, a total of 4,600 valid questionnaires were collected, and the effective recovery rate of the questionnaire was 93.45%. There were 3,000 males and 1,600 females. The average age of the participants was 18.78&#x2009;years, and their ages ranged from 15 to 28&#x2009;years.</p>
</sec>
<sec id="sec9">
<title>Procedure</title>
<p>Undergraduate students were recruited from Shandong University of Science and Technology in the city of Qingdao, located in Shandong Province, East China. The data were acquired <italic>via</italic> a mental health survey targeted at college freshmen. All subjects provided informed consent before data collection. This research was approved by the Institutional Review Board of Shandong University of Science and Technology.</p>
</sec>
<sec id="sec10">
<title>Measures</title>
<sec id="sec11">
<title>Neuroticism</title>
<p>To measure neuroticism, the participants were asked to complete the neuroticism questionnaire, which comes from the neuroticism dimension of the Big Five personality questionnaire. It contains 12 items, and each item is rated on a 5-point scale ranging from disagree (1) to agree (5). This study calculated the level of neuroticism according to this scale. In past research (e.g., <xref ref-type="bibr" rid="ref52">Wang et al., 2014</xref>; <xref ref-type="bibr" rid="ref57">Xing et al., 2019</xref>), the Chinese version of the Big Five personality traits has demonstrated adequate internal reliability.</p>
</sec>
<sec id="sec12">
<title>Loneliness</title>
<p>The questionnaire contains 20 items that center around social dissatisfaction and loneliness. Each subscale is rated using a 5-point Likert scale ranging from 1 (never) to 5 (always). The scale was adopted to measure the participants&#x2019; subjective experiences of loneliness; the higher the score, the lonelier each respondent is. The questionnaire has been widely used in China (<xref ref-type="bibr" rid="ref62">Zhang et al., 2019</xref>).</p>
</sec>
<sec id="sec13">
<title>SAD</title>
<p>The Social Avoidance and Distress Scale has been commonly employed to measure college students&#x2019; levels of discomfort in social aptitude and situations to reduce social contact (<xref ref-type="bibr" rid="ref55">Watson and Friend, 1969</xref>). In the current study, the 28-item list was used, which contains two subscales: the distress subscale (14 items used to access social avoidance) and the avoidance subscale (14 items used to assess social distressed). The higher the score, the higher the college students&#x2019; anxiety was during social interaction. The Chinese version of Social Avoidance and Distress Scale was used in this study, and the results demonstrated satisfactory reliability and validity (e.g., <xref ref-type="bibr" rid="ref60">Zhang et al., 2018</xref>).</p>
</sec>
<sec id="sec14">
<title>Self-efficacy</title>
<p>The general self-efficacy scale was used to measure the participants&#x2019; self-efficacy (<xref ref-type="bibr" rid="ref51">Wang et al., 2001</xref>). The questionnaire comprises 10 items that are scored according to a 4-point scale ranging from wholly not true (1) to completely true (4). Total scores on the scale can range between 10 and 40. A higher score indicated a higher level of depressive symptoms. The scale has been translated into Chinese, which demonstrated satisfactory reliability and validity.</p>
</sec>
<sec id="sec15">
<title>Assessment of instruments</title>
<p>A confirmatory factor analysis was conducted using AMOS 25.0 to validate the measurement model. As shown in <xref rid="tab1" ref-type="table">Table 1</xref>, all the model-fit indices exceeded their respective common acceptance levels suggested by previous research.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Fit indices for measurement model.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Instruments</th>
<th align="center" valign="top"><italic>&#x03C7;<sup>2</sup>/df</italic></th>
<th align="center" valign="top">CFI</th>
<th align="center" valign="top">GFI</th>
<th align="center" valign="top">IFI</th>
<th align="center" valign="top">RMSEA</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Neuroticism</td>
<td align="char" valign="top" char=".">3.88</td>
<td align="char" valign="top" char=".">0.99</td>
<td align="char" valign="top" char=".">0.99</td>
<td align="char" valign="top" char=".">0.99</td>
<td align="char" valign="top" char=".">0.03</td>
</tr>
<tr>
<td align="left" valign="middle">Loneliness</td>
<td align="char" valign="top" char=".">3.97</td>
<td align="char" valign="top" char=".">0.99</td>
<td align="char" valign="top" char=".">0.99</td>
<td align="char" valign="top" char=".">0.99</td>
<td align="char" valign="top" char=".">0.02</td>
</tr>
<tr>
<td align="left" valign="middle">SAD</td>
<td align="char" valign="top" char=".">5.16</td>
<td align="char" valign="top" char=".">0.97</td>
<td align="char" valign="top" char=".">0.98</td>
<td align="char" valign="top" char=".">0.97</td>
<td align="char" valign="top" char=".">0.03</td>
</tr>
<tr>
<td align="left" valign="middle">Self-efficacy</td>
<td align="char" valign="top" char=".">4.32</td>
<td align="char" valign="top" char=".">0.99</td>
<td align="char" valign="top" char=".">0.99</td>
<td align="char" valign="top" char=".">0.99</td>
<td align="char" valign="top" char=".">0.03</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Reliability and convergent validity of the factors were estimated by Cronbach&#x2019;s alpha, Macdonald&#x2019;s omega, composite reliability and average variance extracted (see <xref rid="tab2" ref-type="table">Table 2</xref>). To examine discriminant validity, this study compared the shared variance between factors with the average variance extracted of the individual factors. This analysis showed that the shared variances between factors were lower than the average variance extracted of the individual factors, thus confirming discriminant validity (see <xref rid="tab2" ref-type="table">Table 2</xref>). To summarize, all indicators suggest that the measures has good reliability and validity.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Reliability, average variance extracted, and discriminant validity.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Instruments</th>
<th align="center" valign="top">Cronbach&#x2019;s alpha</th>
<th align="center" valign="top">Macdonald&#x2019;s omega</th>
<th align="center" valign="top">CR</th>
<th align="center" valign="top">1</th>
<th align="center" valign="top">2</th>
<th align="center" valign="top">3</th>
<th align="center" valign="top">4</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1. Neuroticism</td>
<td align="char" valign="middle" char=".">0.84</td>
<td align="char" valign="middle" char=".">0.86</td>
<td align="char" valign="middle" char=".">0.89</td>
<td align="char" valign="middle" char=".">0.58</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">2. Loneliness</td>
<td align="char" valign="middle" char=".">0.92</td>
<td align="char" valign="middle" char=".">0.92</td>
<td align="char" valign="middle" char=".">0.93</td>
<td align="char" valign="middle" char=".">0.52</td>
<td align="char" valign="middle" char=".">0.66</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">3. SAD</td>
<td align="char" valign="middle" char=".">0.90</td>
<td align="char" valign="middle" char=".">0.91</td>
<td align="char" valign="middle" char=".">0.92</td>
<td align="char" valign="middle" char=".">0.40</td>
<td align="char" valign="middle" char=".">0.42</td>
<td align="char" valign="middle" char=".">0.65</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">4. Self-efficacy</td>
<td align="char" valign="middle" char=".">0.89</td>
<td align="char" valign="middle" char=".">0.82</td>
<td align="char" valign="middle" char=".">0.91</td>
<td align="char" valign="middle" char=".">0.19</td>
<td align="char" valign="middle" char=".">0.18</td>
<td align="char" valign="middle" char=".">0.15</td>
<td align="char" valign="middle" char=".">0.72</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CR, Composite reliability. Diagonal elements are the average variance extracted. Off-diagonal elements are the shared variance.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="sec16">
<title>Data analysis</title>
<p>The current research examined the extreme values and multicollinearity of the sample data. The results of collinearity diagnosis showed that the tolerance of each independent variate was greater than 0.1, and the VIF was less than 10. Hence, there is no multicollinearity in the sample data. In addition, this study takes 0.0001 as the standard of the Mahalanobis distance <italic>p</italic> value, and variables less than this value are identified as multivariate extreme values. To reflect the real distribution of the sample, 61 multivariate extreme values that were found in the sample data are not eliminated.</p>
<p>This research conducted Harman&#x2019;s one-factor test, and the findings suggest that there were six factors whose eigenvalues were more than 1 and that the amount of variability explained by the first factor was 22.59%, which did not reach the 40 percent threshold. The results thus indicated that the problem of common method variance in this research was not serious.</p>
<p>First, this study tests the correlation between variables through Pearson correlation analysis. If there is a significant correlation between the variables, the analysis can be continued. Second, this study will test the significance of the regression coefficients of neuroticism-loneliness, neuroticism-self-efficacy-social avoidance and distress-loneliness in turn. Finally, the research analyzes the chain mediating effect of variables through the macro program PROCESS of SPSS software. On this basis, if the 95% confidence interval of the chain mediation bootstrap does not contain 0, the chain mediation is established.</p>
</sec>
</sec>
<sec id="sec17" sec-type="results">
<title>Results</title>
<sec id="sec18">
<title>Descriptive statistics and correlation analysis of each variable</title>
<p>The results of descriptive and correlation analyses revealed that gender was negatively correlated with neuroticism and positively correlated with self-efficacy, and age was positively associated with loneliness. Neuroticism was negatively associated with self-efficacy and positively correlated with SAD and loneliness. Self-efficacy was negatively related to SAD and loneliness. SAD was positively associated with loneliness. The analysis indicated that it is suitable for further mediating effect analysis. The results are shown in <xref rid="tab3" ref-type="table">Table 3</xref>.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>The result of data&#x2019;s description and correlation analysis.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top"><italic>M</italic></th>
<th align="center" valign="top">SD</th>
<th align="center" valign="top">1</th>
<th align="center" valign="top">2</th>
<th align="center" valign="top">3</th>
<th align="center" valign="top">4</th>
<th align="center" valign="top">5</th>
<th align="center" valign="top">6</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Gender</td>
<td align="char" valign="top" char=".">0.65</td>
<td align="char" valign="top" char=".">0.48</td>
<td align="char" valign="top" char=".">1</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age</td>
<td align="char" valign="top" char=".">18.78</td>
<td align="char" valign="top" char=".">2.47</td>
<td align="char" valign="top" char=".">0.059<sup>&#x002A;&#x002A;</sup></td>
<td align="char" valign="top" char=".">1</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Neuroticism</td>
<td align="char" valign="top" char=".">28.20</td>
<td align="char" valign="top" char=".">8.09</td>
<td align="char" valign="top" char=".">&#x2212;0.044<sup>&#x002A;&#x002A;</sup></td>
<td align="char" valign="top" char=".">&#x2212;0.01</td>
<td align="char" valign="top" char=".">1</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Self-efficacy</td>
<td align="char" valign="top" char=".">2.67</td>
<td align="char" valign="top" char=".">0.54</td>
<td align="char" valign="top" char=".">0.076<sup>&#x002A;&#x002A;</sup></td>
<td align="char" valign="top" char=".">&#x2212;0.01</td>
<td align="char" valign="top" char=".">&#x2212;0.44<sup>&#x002A;&#x002A;</sup></td>
<td align="char" valign="top" char=".">1</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">SAD</td>
<td align="char" valign="middle" char=".">8.13</td>
<td align="char" valign="middle" char=".">6.44</td>
<td align="char" valign="middle" char=".">0.02</td>
<td align="char" valign="middle" char=".">0.01</td>
<td align="char" valign="middle" char=".">0.63<sup>&#x002A;&#x002A;</sup></td>
<td align="char" valign="middle" char=".">&#x2212;0.39<sup>&#x002A;&#x002A;</sup></td>
<td align="char" valign="middle" char=".">1</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Loneliness</td>
<td align="char" valign="top" char=".">36.13</td>
<td align="char" valign="top" char=".">9.72</td>
<td align="char" valign="top" char=".">0.01</td>
<td align="char" valign="top" char=".">0.04<sup>&#x002A;</sup></td>
<td align="char" valign="top" char=".">0.72<sup>&#x002A;&#x002A;</sup></td>
<td align="char" valign="top" char=".">&#x2212;0.43<sup>&#x002A;&#x002A;</sup></td>
<td align="char" valign="top" char=".">0.65<sup>&#x002A;&#x002A;</sup></td>
<td align="center" valign="top">1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, <sup>&#x002A;&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, <sup>&#x002A;&#x002A;&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.001.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec19">
<title>Mediator model</title>
<p>The results of this study met the statistical requirements for assessing the regulatory effects of self-efficacy and SAD. Using the SPSS macro program compiled by Hayes, the bootstrapping method was used to repeat the sampling 5,000 times, constructing a 95% unbiased corrected confidence interval. Using model 6 from the PROCESS plug-in, the chain mediation model was employed to determine the chain effect of two mediation variables and control for demographic information such as gender and age.</p>
<p>After gender and age were controlled for, the results of the regression analysis indicated that neuroticism positively predicted loneliness (<italic>&#x03B2;</italic> =&#x2009;0.72, <italic>p</italic> &#x003C;&#x2009;0.001). When self-efficacy and SAD were brought into the regression equation, the results of regression analysis revealed that neuroticism negatively predicted self-efficacy (<italic>&#x03B2;</italic> =&#x2009;&#x2212;0.43, <italic>p</italic> &#x003C;&#x2009;0.001) and significantly positively predicted SAD (<italic>&#x03B2;</italic> =&#x2009;0.56, <italic>p</italic> &#x003C;&#x2009;0.001); self-efficacy negatively predicted SAD (<italic>&#x03B2;</italic> =&#x2009;&#x2212;0.15, <italic>p</italic> &#x003C;&#x2009;0.001) and negatively predicted loneliness (<italic>&#x03B2;</italic> =&#x2009;&#x2212;0.10, <italic>p</italic> &#x003C;&#x2009;0.001); and SAD positively predicted loneliness(<italic>&#x03B2;</italic> =&#x2009;0.31, <italic>p</italic> &#x003C;&#x2009;0.001). The results are shown in <xref rid="tab4" ref-type="table">Table 4</xref>.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Regression analysis of mediating models of self-efficacy and SAD between neuroticism and loneliness.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Outcome (<italic>Y</italic>)</th>
<th align="left" valign="top" rowspan="2">Predictors (<italic>X</italic>)</th>
<th align="center" valign="top" colspan="3">Model summary</th>
<th align="center" valign="top" rowspan="2"><italic>&#x03B2;</italic></th>
<th align="center" valign="top" rowspan="2">SE</th>
<th align="center" valign="top" rowspan="2">95%CI</th>
</tr>
<tr>
<th align="center" valign="top"><italic>R</italic></th>
<th align="center" valign="top"><italic>R<sup>2</sup></italic></th>
<th align="center" valign="top"><italic>F</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Self-efficacy</td>
<td/>
<td align="char" valign="top" char=".">0.44</td>
<td align="char" valign="top" char=".">0.19</td>
<td align="char" valign="top" char=".">368.47<sup>&#x002A;&#x002A;&#x002A;</sup></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Age</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.02</td>
<td align="char" valign="top" char=".">0.01</td>
<td align="center" valign="top">[&#x2212;0.01, 0.01]</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Gender</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.06<sup>&#x002A;&#x002A;&#x002A;</sup></td>
<td align="char" valign="top" char=".">0.02</td>
<td align="center" valign="top">[0.04, 0.10]</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Neuroticism</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.43<sup>&#x002A;&#x002A;&#x002A;</sup></td>
<td align="char" valign="top" char=".">0.01</td>
<td align="center" valign="top">[&#x2212;0.03, &#x2212;0.03]</td>
</tr>
<tr>
<td align="left" valign="top">SAD</td>
<td/>
<td align="char" valign="top" char=".">0.64</td>
<td align="char" valign="top" char=".">0.41</td>
<td align="char" valign="top" char=".">806.16<sup>&#x002A;&#x002A;&#x002A;</sup></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Age</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.01</td>
<td align="char" valign="top" char=".">0.03</td>
<td align="center" valign="top">[&#x2212;0.04, 0.08]</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Gender</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.06<sup>&#x002A;&#x002A;&#x002A;</sup></td>
<td align="char" valign="top" char=".">0.15</td>
<td align="center" valign="top">[0.45, 1.06]</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Neuroticism</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.56<sup>&#x002A;&#x002A;&#x002A;</sup></td>
<td align="char" valign="top" char=".">0.01</td>
<td align="center" valign="top">[0.42, 0.47]</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Self-efficacy</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.15<sup>&#x002A;&#x002A;&#x002A;</sup></td>
<td align="char" valign="top" char=".">0.15</td>
<td align="center" valign="top">[&#x2212;2.08, &#x2212;1.49]</td>
</tr>
<tr>
<td align="left" valign="top">Loneliness</td>
<td/>
<td align="char" valign="top" char=".">0.77</td>
<td align="char" valign="top" char=".">0.59</td>
<td align="char" valign="top" char=".">1319.46<sup>&#x002A;&#x002A;&#x002A;</sup></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Age</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.03<sup>&#x002A;&#x002A;&#x002A;</sup></td>
<td align="char" valign="top" char=".">0.04</td>
<td align="center" valign="top">[0.05, 0.20]</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Gender</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.02<sup>&#x002A;</sup></td>
<td align="char" valign="top" char=".">0.19</td>
<td align="center" valign="top">[0.08, 0.84]</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Neuroticism</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.49<sup>&#x002A;&#x002A;&#x002A;</sup></td>
<td align="char" valign="top" char=".">0.02</td>
<td align="center" valign="top">[0.56, 0.61]</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Self-efficacy</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.10<sup>&#x002A;&#x002A;&#x002A;</sup></td>
<td align="char" valign="top" char=".">0.19</td>
<td align="center" valign="top">[&#x2212;2.11, &#x2212;1.35]</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">SAD</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.31<sup>&#x002A;&#x002A;&#x002A;</sup></td>
<td align="char" valign="top" char=".">0.02</td>
<td align="center" valign="top">[0.42, 0.50]</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>N</italic>&#x2009;=&#x2009;4,600. Bootstrap sample size&#x2009;=&#x2009;5,000. CI, confidence interval. <sup>&#x002A;</sup><italic>p</italic> &#x003C; 0.05, <sup>&#x002A;&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, <sup>&#x002A;&#x002A;&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.001.</p>
</table-wrap-foot>
</table-wrap>
<p>The results of the mediation effect analysis suggested that self-efficacy and SAD significantly mediated the relation between neuroticism and loneliness. The standardized mediation effect value was 0.23, and the effect size was 0.32. The mediation effect consisted of indirect effects caused by 3 paths: indirect effect 1 was formed from neuroticism to self-efficacy to loneliness (effect value was 0.04 and effect size was 0.06); indirect effect 2 was formed from neuroticism to SAD to loneliness (effect value was 0.17 and effect size was 0.24); indirect effect 3 was formed from neuroticism to self-efficacy to SAD to loneliness (effect value was 0.02 and effect size was 0.03); and the 95% confidence intervals of these indirect effects did not include 0. The results are shown in <xref rid="tab5" ref-type="table">Table 5</xref> and <xref rid="fig1" ref-type="fig">Figure 1</xref>.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Mediation effects of self-efficacy, SAD.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Standard Estimate</th>
<th align="center" valign="top">Boot SE</th>
<th align="center" valign="top">Boot LLCI</th>
<th align="center" valign="top">Boot ULCI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Total Ind</td>
<td align="char" valign="top" char=".">0.23</td>
<td align="char" valign="top" char=".">0.01</td>
<td align="char" valign="top" char=".">0.21</td>
<td align="char" valign="top" char=".">0.25</td>
</tr>
<tr>
<td align="left" valign="top">Ind1</td>
<td align="char" valign="top" char=".">0.04</td>
<td align="char" valign="top" char=".">0.01</td>
<td align="char" valign="top" char=".">0.03</td>
<td align="char" valign="top" char=".">0.05</td>
</tr>
<tr>
<td align="left" valign="top">Ind2</td>
<td align="char" valign="top" char=".">0.17</td>
<td align="char" valign="top" char=".">0.01</td>
<td align="char" valign="top" char=".">0.16</td>
<td align="char" valign="top" char=".">0.19</td>
</tr>
<tr>
<td align="left" valign="top">Ind3</td>
<td align="char" valign="top" char=".">0.02</td>
<td align="char" valign="top" char=".">0.002</td>
<td align="char" valign="top" char=".">0.02</td>
<td align="char" valign="top" char=".">0.02</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Ind1: Neuroticism &#x2192; Self-efficacy &#x2192; Loneliness; Ind2: Neuroticism &#x2192; SAD&#x2192; Loneliness; Ind3: Neuroticism &#x2192; Self-efficacy &#x2192; SAD&#x2192; Loneliness.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Conceptual model of this study.</p>
</caption>
<graphic xlink:href="fpsyg-14-1124588-g001.tif"/>
</fig>
</sec>
</sec>
<sec id="sec20" sec-type="discussions">
<title>Discussion</title>
<sec id="sec21">
<title>Neuroticism significantly predicts loneliness</title>
<p>Previous research has demonstrated that most students with a high degree of neuroticism face a sense of loneliness and that neuroticism could play essential roles in shaping an individual&#x2019;s feelings of loneliness (<xref ref-type="bibr" rid="ref42">Mourelatos, 2021</xref>). That is, college students with high neuroticism easily experience loneliness (<xref ref-type="bibr" rid="ref34">Machado et al., 2021</xref>; <xref ref-type="bibr" rid="ref410">Wieczorek et al., 2021</xref>). Consistent with previous findings (<xref ref-type="bibr" rid="ref56">Xia et al., 2015</xref>), the results of this study show a positive association between neuroticism and loneliness. Thus, neuroticism plays an important role in further understanding the mechanism and process of loneliness, especially in adolescents.</p>
</sec>
<sec id="sec22">
<title>The mediating role of self-efficacy</title>
<p>According to the five-factor personality theory, personality develops consistent emotional and behavioral responses through the action of dynamic systems (<xref ref-type="bibr" rid="ref39">Mccrae and Costa, 1996</xref>). In addition, according to self-efficacy theory, self-efficacy is the basis of human motivation and determines individual emotions and behaviors (<xref ref-type="bibr" rid="ref3">Bandura, 1978</xref>). This study supports the inference that self-efficacy mediates the relation between neuroticism and loneliness. Consistent with previous research results, neurotic personality generates a lower sense of self-efficacy. People with low self-efficacy are more likely to have negative behaviors and emotional experiences. Such results might be explained by the fact that college students with high neuroticism were associated with being more self-aware; easily feeling inadequate, worried, and nervous; and lacking a sense of control and confidence in the surrounding environment, which are related to low levels of self-efficacy (<xref ref-type="bibr" rid="ref35">Malin et al., 2013</xref>). The decrease in an individual&#x2019;s self-efficacy can lead to a higher sense of loneliness (<xref ref-type="bibr" rid="ref54">Watkins, 2008</xref>; <xref ref-type="bibr" rid="ref30">Li et al., 2018</xref>). By introducing self-efficacy as a mediator, the research on the potential mechanisms in the relation between college students&#x2019; neuroticism and their loneliness becomes more substantial, and the results also suggested that self-efficacy could be a positive intervening factor in reducing loneliness and that college students with high self-efficacy are more likely to engage in healthy behaviors (<xref ref-type="bibr" rid="ref36">Mann et al., 2009</xref>; <xref ref-type="bibr" rid="ref28">Li et al., 2022</xref>).</p>
</sec>
<sec id="sec23">
<title>The mediating role of SAD</title>
<p>Interpersonal perception theory indicates that when individuals are rejected and isolated by the external world, they may be more likely to experience high levels of loneliness due to the emotional damage caused by others. Moreover, according to the Five-Factor Personality Theory, individuals with high neuroticism generally exhibit avoidance behaviors and emotional susceptibility (<xref ref-type="bibr" rid="ref48">Tupes and Christal, 1992</xref>; <xref ref-type="bibr" rid="ref65">Zhu and Xia, 2021</xref>). Thus, personality may lead to loneliness by interpersonal behavior. In this study, we provided evidence that college students&#x2019; SAD mediated the relation between neuroticism and loneliness. College students with high neuroticism tend to experience higher levels of SAD (<xref ref-type="bibr" rid="ref64">Zhao et al., 2014</xref>; <xref ref-type="bibr" rid="ref62">Zhang et al., 2019</xref>), thereby producing more loneliness (<xref ref-type="bibr" rid="ref60">Zhang et al., 2018</xref>). The reason may be that in the face of vulnerable personalities, such as neuroticism, maladaptive processes of neural circuits and their related transmitters and modulators can lead to morbid social avoidance (<xref ref-type="bibr" rid="ref16">Gellner et al., 2020</xref>). In this context, college students with high neuroticism may experience more negative emotions and be more sensitive to external adverse stimuli in response to environmental changes (<xref ref-type="bibr" rid="ref45">Robinson and Clore, 2007</xref>; <xref ref-type="bibr" rid="ref30">Li et al., 2018</xref>), which leads them to tend to withdraw and avoid behaviors (<xref ref-type="bibr" rid="ref7">Brand et al., 2016</xref>). It is logical that individuals who exhibit social avoidance and distress usually feel that they will be subjected to negative social evaluation and try to avoid contact and conversation with others, which causes higher levels of loneliness (<xref ref-type="bibr" rid="ref22">Ibis et al., 2005</xref>; <xref ref-type="bibr" rid="ref60">Zhang et al., 2018</xref>; <xref ref-type="bibr" rid="ref31">Liu et al., 2020</xref>). Therefore, SAD plays a valuable role in the relation between neuroticism and loneliness. Reducing social avoidance and distress by improving an individual&#x2019;s social relations (<xref ref-type="bibr" rid="ref40">Meltzer et al., 2013</xref>; <xref ref-type="bibr" rid="ref32">Liu et al., 2022</xref>) and increasing social support (<xref ref-type="bibr" rid="ref19">He et al., 2015</xref>; <xref ref-type="bibr" rid="ref46">Satici, 2016</xref>) may be particularly useful for moderating loneliness.</p>
</sec>
<sec id="sec24">
<title>The chain mediating role of self-efficacy and SAD</title>
<p>According to self-efficacy theory, individuals&#x2019; moods and behaviors are determined by their self-efficacy (<xref ref-type="bibr" rid="ref44">Riley et al., 2012</xref>; <xref ref-type="bibr" rid="ref50">Wang, 2021</xref>), such as SAD. This study proved the chain mediating role of self-efficacy and SAD between neuroticism and loneliness. Previous research has mainly focused on the mediating role of one of the variables in self-efficacy and SAD between neuroticism and loneliness. However, previous studies have paid less attention to the chain mediating role of self-efficacy and SAD, and this study focused on the chain mediating role of self-efficacy and SAD in the relation between neuroticism and loneliness. This study showed that self-efficacy and SAD had chain mediation effects on the relation between neuroticism and loneliness, which indicated that the reason for the social problems of individuals with high levels of loneliness may be the subjective deviation of their own social ability (also called social self-efficacy). The most obvious reason for this association is that a lack of certainty and control over the outside world causes lower self-efficacy (<xref ref-type="bibr" rid="ref35">Malin et al., 2013</xref>; <xref ref-type="bibr" rid="ref61">Zhang et al., 2022</xref>). Furthermore, individuals with low self-efficacy are more likely to adopt negative behaviors and emotional experiences such as SAD in social contacts (<xref ref-type="bibr" rid="ref13">Fan et al., 2010</xref>; <xref ref-type="bibr" rid="ref29">Li et al., 2023</xref>), and due to social avoidance and a lack of peer support, emotional needs cannot be met, and SAD causes more loneliness (<xref ref-type="bibr" rid="ref38">Mao and Yu, 2014</xref>; <xref ref-type="bibr" rid="ref58">Ye et al., 2021</xref>). The present study proved the chain mediating role of self-efficacy and SAD in the relation between neuroticism and loneliness. Thus, it is necessary to enhance self-efficacy and improve social relations to decrease the loneliness of neurotic individuals.</p>
</sec>
<sec id="sec25">
<title>Main contributions and limitations</title>
<p>The results of the present study proved a further understanding of the mechanism in the relation between neuroticism and loneliness. First, the present study enriched the previous work on the relation between personality and loneliness and extended the research perspective of personality affecting loneliness by exploring the mechanism in the relation between neuroticism and loneliness. In subsequent research, cognitive factors and behavioral outcomes should be considered as chain mediating variables to probe into the possible effects of other psychological mechanisms on personality and loneliness. Second, this study added the positive variable of self-efficacy to the mechanism in the relation between neuroticism and loneliness, providing us with countermeasures to decrease the influence of neuroticism on loneliness. In addition, research can improve the self-efficacy, self-control and confidence of college students and help them understand themselves correctly through positive external interventions, thereby decreasing the loneliness of college students. Third, this study also added the variable of SAD to the mechanism between neuroticism and loneliness to emphasize the importance of interpersonal relationships in the influence of neuroticism on loneliness. The results suggested that strengthening the evaluation of college students&#x2019; social support systems and providing timely social skill intervention measures can effectively moderate the loneliness of neurotic individuals. Fourth, the study verified the chain mediation effects of self-efficacy and SAD and clarified the precedence relations between self-efficacy and SAD. The results enlighten us that it can promote the optimization of psychological adaptation by improving cognition and balancing emotion.</p>
<p>Nevertheless, there are some limitations in the current study. First, the cross-sectional design employed in this research cannot prove causality. Longitudinal tracking studies should be adopted in the future to clarify the relations among the variables. Second, data were collected using the survey method, and single-reporter bias due to the influence of the social desirability effect and other factors cannot be fully excluded. Therefore, it is recommended that future studies use multiagent reports, EEG research and task measurement approaches to prevent bias and verify data validity.</p>
</sec>
</sec>
<sec id="sec26" sec-type="conclusions">
<title>Conclusion</title>
<p>Through examining the chained mediating effects of self-efficacy and SAD, this study expands our understanding of the mechanism underlying the effect of neuroticism on college students&#x2019; loneliness. Specifically, the study results indicate that, even after controlling for age and gender, there is a significant positive correlation between neuroticism and loneliness, which is influenced by the mediating effects of both self-efficacy and SAD, as well as the chained mediating effects of self-efficacy and SAD. This research highlights the need to promptly address loneliness in college students, particularly individuals with higher levels of neuroticism, and implement appropriate measures to alleviate their loneliness and enhance their psychological well-being.</p>
</sec>
<sec id="sec27" sec-type="data-availability">
<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 id="sec28">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Institutional Review Board of Shandong University of Science and Technology. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="sec29">
<title>Author contributions</title>
<p>SL wrote the manuscript. KK and KZ were involved in data processing. HN was involved in the study design. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="sec30" sec-type="funding-information">
<title>Funding</title>
<p>This study was funded by the Qingdao Social science Planning research Project (QDSKL1901118, QDSKL2101136) and Social Science Popularization and Application Research Project of Shandong Province (2019-SKZZ-54) awarded to SL.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<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>
</body>
<back>
<ack>
<p>We sincerely thank all teachers and students who participated or contributed to this research.</p>
</ack>
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