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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2023.1164999</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association of family function and suicide risk in teenagers with a history of self-harm behaviors: mediating role of subjective wellbeing and depression</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Chen</surname> <given-names>Mo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2195578/overview"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Zhou</surname> <given-names>Yang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2264185/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Luo</surname> <given-names>Dan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/942973/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Yan</surname> <given-names>Shu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2314037/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Min</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Meng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Xin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Bing Xiang</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname> <given-names>Yi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1240453/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Liu</surname> <given-names>Lian Zhong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/966798/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Psychiatry, Wuhan Mental Health Center, Wuhan</institution>, <addr-line>Hubei</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Psychiatry, Wuhan Hospital for Psychotherapy, Wuhan</institution>, <addr-line>Hubei</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Center for Wise Information Technology of Mental Health Nursing Research, School of Nursing, Wuhan University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Wulf R&#x000F6;ssler, Charit&#x000E9; University Medicine Berlin, Germany</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Saray Ram&#x000ED;rez, University of the Andes, Chile; Ruth Fern&#x000E1;ndez, Universidad Nacional de Villa Mar&#x000ED;a, Argentina</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Yi Li <email>psylee&#x00040;163.com</email></corresp>
<corresp id="c002">Lian Zhong Liu <email>184923047&#x00040;qq.com</email></corresp>
<fn fn-type="equal" id="fn001"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1164999</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>02</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>05</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2023 Chen, Zhou, Luo, Yan, Liu, Wang, Li, Yang, Li and Liu.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Chen, Zhou, Luo, Yan, Liu, Wang, Li, Yang, Li and Liu</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>A history of self-harm behaviors is closely associated with subsequent suicide death. Although many factors associated with suicide have been identified, it remains unclear how these factors interact to influence suicide risk, especially among teenagers with a history of self-harm behaviors.</p></sec>
<sec>
<title>Methods</title>
<p>Data were collected from 913 teenagers with a history of self-harm behaviors through a cross-sectional study. The Family Adaptation, Partnership, Growth, Affection, and Resolve index was used to assess teenagers&#x00027; family function. The Patient Health Questionnaire-9 and the Generalized Anxiety Disorder-7 were used to evaluate depression and anxiety in teenagers and their parents, respectively. The Delighted Terrible Faces Scale was used to assess teenagers&#x00027; perception of subjective wellbeing. The Suicidal Behaviors Questionnaire-Revised was used to evaluate teenagers&#x00027; suicide risk. Student&#x00027;s <italic>t</italic>-test, one-way ANOVA, multivariate linear regression, Pearson&#x00027;s correlation, and a structural equation model (SEM) were applied to data analysis.</p></sec>
<sec>
<title>Results</title>
<p>Overall, 78.6% of teenagers with a history of self-harm behaviors were at risk for possible suicide. Female gender, severity of teenagers&#x00027; depression, family function, and subjective wellbeing were significantly associated with suicide risk. The results of SEM suggested that there was a significant chain mediation effect of subjective wellbeing and depression between family function and suicide risk.</p></sec>
<sec>
<title>Conclusion</title>
<p>Family function was closely associated with suicide risk in teenagers with a history of self-harm behaviors, and depression and subjective wellbeing were sequential mediators in the association between family function and suicide risk.</p></sec></abstract>
<kwd-group>
<kwd>history of self-injury</kwd>
<kwd>suicide</kwd>
<kwd>family relationship</kwd>
<kwd>children and adolescents</kwd>
<kwd>chain mediation</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<contract-sponsor id="cn002">Fundamental Research Funds for the Central Universities<named-content content-type="fundref-id">10.13039/501100012226</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="60"/>
<page-count count="8"/>
<word-count count="6324"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Mental Health</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1. Introduction</title>
<p>Self-harm is a general term for non-fatal self-injury or self-poisoning with or without suicidal intention (<xref ref-type="bibr" rid="B1">1</xref>). Based on the existing suicidal intention or not, self-harm can be classified into suicide attempt and non-suicidal self-injury (NSSI) (<xref ref-type="bibr" rid="B2">2</xref>). According to the International Classification of Diseases 10th edition (ICD-10), deliberate self-harm was identified with at least one code X60 to X84 (<xref ref-type="bibr" rid="B3">3</xref>). To differentiate self-harm without suicidal intention from self-harm with suicidal intention, the United States developed a clinical modification based on WHO&#x00027;s ICD-10 (ICD-10-CM), and a new diagnosis code R45.88 was added (<xref ref-type="bibr" rid="B4">4</xref>). Self-harm is a focus of concern among children and adolescents. The onset of self-harm behaviors frequently occurs between the age of 12 and 14 years, while the prevalence rises during middle adolescence (<xref ref-type="bibr" rid="B5">5</xref>). Meta-analyses showed that the global lifetime prevalence of self-harm behaviors and NSSI in children and adolescents were 13.7% (95% CI: 11.0&#x02013;17.0%) and 22.1% (95% CI: 16.9&#x02013;28.4%) (<xref ref-type="bibr" rid="B6">6</xref>). In China, 2.7% and 8.8% of adolescents attempted suicide and experienced NSSI, respectively (<xref ref-type="bibr" rid="B7">7</xref>). Although self-harm behaviors decline substantially over time, these behaviors can develop into chronic practice in some individuals, even extending into late adolescence and adulthood (<xref ref-type="bibr" rid="B5">5</xref>). A report in the <italic>Lancet Psychiatry</italic> has estimated that compared to the age cohorts above 20 years, self-harm behaviors among adolescents lead to the largest loss of potential years of life (65.1 years) and productive years of life (48.7 years), as well as the largest cost derived from full incapacity and fatality (<xref ref-type="bibr" rid="B8">8</xref>). However, psychological therapeutic trials such as dialectical behavioral therapy have been proposed to be a valuable treatment in reducing children and adolescents&#x00027; self-harm (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Therefore, adolescence is a crucial developmental stage for early intervention and the prevention of self-harm behaviors.</p>
<p>It is worth noting that individuals who had previous self-harm behaviors are at considerable risk for future suicide. It has been estimated that &#x0007E;50% of teenagers who died by suicide had previously self-harmed (<xref ref-type="bibr" rid="B11">11</xref>). A prospective cohort study also showed that the 12-month incidence rate of suicide in children and adolescents with previous non-fatal self-harm behaviors was more than 30 times higher than the expected rate in the general population, and the risk might persist over several years (<xref ref-type="bibr" rid="B12">12</xref>). Suicide is one of the major causes of death in children and adolescents, and has been identified as a severe public health problem worldwide (<xref ref-type="bibr" rid="B13">13</xref>). Epidemiologic studies showed that the prevalence of suicide ideation among adolescents ranged from 19.8 to 24.0% and increased rapidly between the ages of 12 and 17 years, and the lifetime prevalence of suicide attempts ranged from 3.1 to 8.8% and increased during early to mid/late adolescence (<xref ref-type="bibr" rid="B14">14</xref>). Even though many psychological tools can help evaluate the risk of suicide, it is still challenging to predict episodes of suicide, especially after non-fatal self-harm behaviors. To date, there are no appropriate tools for predicting a high risk of suicide in adolescents (<xref ref-type="bibr" rid="B15">15</xref>). However, suicide is preventable and the adolescence is a critical period for prevention, during which more years of life can be saved by timely intervention (<xref ref-type="bibr" rid="B14">14</xref>). Therefore, exploring the causes and patterns of suicide risk in children and adolescents can provide opportunities to intervene on this trajectory earlier in life.</p>
<p>Suicide has been revealed to be the result of interactions among biological, psychological, and environmental factors. Regarding biological aspects, most suicidal patients were reported as having a dysregulated hypothalamus-pituitary-adrenal axis (<xref ref-type="bibr" rid="B16">16</xref>). Neurobiological evidence has revealed that the pathogenesis of suicide is related to neuroinflammation in the brain which activates the kynurenine pathway with subsequent serotonin depletion and the stimulation of glutamate neurotransmission, which are accompanied by decreased brain-derived neurotrophic factor levels (<xref ref-type="bibr" rid="B17">17</xref>). In suicidal young adults, several brain circuits appeared to be atypical and altered, such as functional connectivity in the cerebral cortex, limbic system, and cerebellum (<xref ref-type="bibr" rid="B18">18</xref>). Beyond that, the social environment is another essential factor influencing suicide risk. The suicide of children and adolescents might be prevented by improving social support across the domains of family, school, and friends (<xref ref-type="bibr" rid="B19">19</xref>&#x02013;<xref ref-type="bibr" rid="B21">21</xref>). Comparisons between the relative contributions of peer, family, and school support suggested that family support seemed more important in understanding suicide risk (<xref ref-type="bibr" rid="B22">22</xref>). Family context and family relationships are identified as risk factors for suicide. It has been proposed that parental psychopathology, poor parental monitoring, and family discord are linked to adolescent suicide (<xref ref-type="bibr" rid="B23">23</xref>), while family cohesion, family expressiveness, and perceived responsibilities to the family are identified as potential protective factors against adolescents&#x00027; suicide (<xref ref-type="bibr" rid="B24">24</xref>). These studies implied that the reinforcement of family function could reduce suicide risk in children and adolescents. Approximately 90% of people who had suicide attempts or suicide behaviors had psychiatric disorders (<xref ref-type="bibr" rid="B25">25</xref>). Particularly, problems with emotion regulation are differentially connected to suicide, depressive symptoms are proposed to be the most probable risk factors for suicide behaviors, and anxiety symptoms are significantly associated with suicide ideation and suicide attempt (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Subjective wellbeing refers to an individual&#x00027;s satisfaction with material possessions, health, achievements, relationships, safety, social connectedness, and future security (<xref ref-type="bibr" rid="B28">28</xref>), which includes emotional, psychological, social, and spiritual aspects (<xref ref-type="bibr" rid="B29">29</xref>). A negative association between subjective wellbeing and suicide rates has been found in several studies (<xref ref-type="bibr" rid="B30">30</xref>&#x02013;<xref ref-type="bibr" rid="B32">32</xref>). Analyzing mental health from risk aspects such as depression and anxiety as well as from protective aspects such as wellbeing can improve understanding of the effect of mental health on suicide.</p>
<p>Although many factors associated with suicide have been identified, it remains unclear how these factors interact to influence suicide risk, especially among teenagers with a history of self-harm behaviors. Therefore, this study aims to identify factors associated with suicide risk among teenagers with a history of self-harm behaviors and further investigate the mediating role of emotional disorders and subjective wellbeing between family function and suicide risk. The proposed hypotheses are: (1) family function is negatively associated with suicide risk; (2) subjective wellbeing mediates the association between family function and suicide risk; (3) emotional disorders (i.e., depression and anxiety) mediate the association between family function and suicide risk; and (4) subjective wellbeing and emotional disorders play a chain mediation role between family function and suicide risk.</p></sec>
<sec id="s2">
<title>2. Methods</title>
<sec>
<title>2.1. Participants</title>
<p>Our research was part of the Students&#x00027; Mental Health Network (SMHN), a project carried out in Wuhan, China. A cross-sectional study was performed and participants along with a primary caregiver were recruited from four junior high schools (grades 7&#x02013;9) and four senior high schools (grades 10&#x02013;12) by using a cluster sampling method. Inclusion criteria were: (1) between 12 and 18 years of age; and (2) could be individually matched with their primary caregivers. Exclusion criteria were: (1) history of neurological, psychiatric, or other serious somatic diseases; (2) caregivers were not father or mother; (3) unwilling to participate; and (4) nationality was not Chinese. Participation in the study was voluntary. All participants completed informed assent and their parents completed informed consent.</p>
<p>Participants were asked to complete the self-administered anonymous questionnaires using a computer located in the computer room of their school and under the guidance and supervision of teachers. The survey took 10&#x02013;20 min to complete. Participants were informed that data would remain anonymous and available only to the researchers. All participants were first asked if they had a history of self-harm behaviors: &#x0201C;In the past 12 months, have you had self-harm behaviors without any intention of committing suicide?&#x0201D; (<xref ref-type="bibr" rid="B33">33</xref>). A total of 8,990 participants completed the survey and 913 (10.16%) reported a history of self-harm behaviors. This group was then assessed for suicide risk.</p>
<p>The investigation was approved by the Ethics Committee of the Wuhan Mental Health Center (Approval No. KY2021.11.01).</p>
</sec>
<sec>
<title>2.2. Measures</title>
<sec>
<title>2.2.1. Suicide risk</title>
<p>The Suicidal Behaviors Questionnaire-Revised (SBQ-R) was applied to screen for suicide risk among teenagers with a history of self-harm behaviors. The SBQ-R contains four items: (1) lifetime suicide intention/attempt; (2) frequency of suicide intention over the past 12 months; (3) telling someone else about suicide intention; and (4) likelihood of attempting suicide someday. The total score of the SBQ-R ranges from 3 to 18 and a higher score indicates a greater risk of suicide. Generally, a cutoff score of 7 was set to identify the possibility of suicide. The SBQ-R has shown good reliability and validity in Chinese college students (<xref ref-type="bibr" rid="B34">34</xref>).</p></sec>
<sec>
<title>2.2.2. Family function</title>
<p>The Family Adaptation, Partnership, Growth, Affection, and Resolve (APGAR) index developed by Smilkstein was applied to evaluate family function by assessing an individual&#x00027;s satisfaction with their family relationship. The scale is a valid and reliable measurement that includes five items scored on a 3-point Likert scale of 0&#x02013;2. The total score is obtained by summing the scores of five items with a higher total score indicating better family function. The Family APGAR has well-established reliability and validity in Chinese adolescents (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>).</p></sec>
<sec>
<title>2.2.3. Depression</title>
<p>The 9-item Patient Health Questionnaire (PHQ-9) was applied to evaluate for depression. The items relate to symptoms experienced during the past 2 weeks. Each item is scored on a 4-point Likert scale of 0 to 3 with a higher total score indicating more severe depressive symptoms. The PHQ-9 has demonstrated strong reliability and validity in Chinese adolescents (<xref ref-type="bibr" rid="B37">37</xref>).</p></sec>
<sec>
<title>2.2.4. Anxiety</title>
<p>The 7-item Generalized Anxiety Disorder (GAD-7) was applied to evaluate for anxiety. The items relate to symptoms experienced during the past 2 weeks. Each item is scored on a 4-point Likert scale of 0 to 3 with a higher total score indicating more severe generalized anxiety. The GAD-7 has well-established reliability and validity in Chinese adolescents (<xref ref-type="bibr" rid="B37">37</xref>).</p></sec>
<sec>
<title>2.2.5. Subjective wellbeing perception</title>
<p>An individual&#x00027;s subjective perception of wellbeing was measured via the Delighted Terrible Faces Scale (DTS). This is a single-item satisfaction scale that contains seven response faces ranging from smile to frown with the score ranging from 7 to 1 (<xref ref-type="bibr" rid="B38">38</xref>). A higher score reflects a higher sense of wellbeing.</p>
</sec>
</sec>
<sec>
<title>2.3. Statistical analysis</title>
<p>Data analysis was performed using SPSS version 22.0. Student&#x00027;s <italic>t</italic>-test and one-way ANOVA were used to compare suicide risk. Multivariate linear regression was used to identify factors associated with suicide risk. Pearson&#x00027;s correlation was used to analyze the correlations between psychosocial factors statistically associated with suicide risk.</p>
<p>A structural equation model (SEM) was constructed using Mplus version 8.0 to explore the relationship among family function, subjective wellbeing, emotional disorders, and suicide risk. In SEM, the root mean square error of approximation (RMSEA) value is &#x0003C;0.08, and comparative fit index (CFI) and Tucker Lewis index (TLI) values are &#x0003E;0.90, indicating acceptable models.</p>
<p>All statistical tests were two-sided and <italic>P</italic> &#x0003C; 0.05 was considered statistically significant.</p></sec></sec>
<sec id="s3">
<title>3. Results</title>
<sec>
<title>3.1. Suicide risk in teenagers with a history of self-harm behaviors</title>
<p>A total of 913 participants indicated having a history of self-harm behaviors, including 394 (43.2%) junior high school students (grades 7&#x02013;9) and 519 (56.8%) senior high school students (grades 10&#x02013;12). When a cutoff score of 7 was set to identify the possibility of suicide, nearly 78.6% (718/913) of students were regarded to possess the possibility of suicide.</p>
<p>In the following analysis, the total score of SBQ-R was applied to indicate suicide risk. As shown in <xref ref-type="table" rid="T1">Table 1</xref>, among participants with a history of self-harm behaviors, females and teenagers who had not lived with their parents in childhood were at higher suicide risk (<italic>P</italic> &#x0003C; 0.01). Multiple linear regression analysis also indicated that being female (&#x003B2; = 1.229, <italic>P</italic> &#x0003C; 0.001) was a factor in suicide risk. In addition, the severity of teenagers&#x00027; depression (&#x003B2; = 0.205, <italic>P</italic> &#x0003C; 0.001) was associated with higher suicide risk, while better family function (&#x003B2; = &#x02212;0.252, <italic>P</italic> &#x0003C; 0.001) and higher subjective wellbeing (&#x003B2; = &#x02212;0.361, <italic>P</italic> &#x0003C; 0.001) were associated with lower suicide risk (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Difference in the suicide risk by demographic characteristics among teenagers with a history of self-harm behaviors.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:&#x00023;919498;color:&#x00023;ffffff">
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="left"><bold>The score of SBQ-R (mean &#x000B1;SD)</bold></th>
<th valign="top" align="left"><bold><italic>F</italic>/<italic>t</italic></bold></th>
<th valign="top" align="left"><bold><italic>P</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#dee1e1"><bold>Grade</bold></td>
<td valign="top" align="left">1.176</td>
<td valign="top" align="left">0.240</td>
</tr> <tr>
<td valign="top" align="left">Junior high school (<italic>n</italic> = 394)</td>
<td valign="top" align="left">9.82 &#x000B1; 3.78</td>
<td/>
<td/>
</tr>
 <tr>
<td valign="top" align="left">Senior high school (<italic>n</italic> = 519)</td>
<td valign="top" align="left">9.53 &#x000B1; 3.62</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left" colspan="2" style="background-color:#dee1e1"><bold>Gender</bold></td>
<td valign="top" align="left">&#x02212;6.472</td>
<td valign="top" align="left"><bold>&#x0003C;0.001</bold></td>
</tr> <tr>
<td valign="top" align="left">Male (<italic>n</italic> = 316)</td>
<td valign="top" align="left">8.59 &#x000B1; 3.75</td>
<td/>
<td/>
</tr>
 <tr>
<td valign="top" align="left">Female (<italic>n</italic> = 597)</td>
<td valign="top" align="left">10.22 &#x000B1; 3.54</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left" colspan="2" style="background-color:#dee1e1"><bold>The status of only child</bold></td>
<td valign="top" align="left">0.599</td>
<td valign="top" align="left">0.549</td>
</tr> <tr>
<td valign="top" align="left">No (<italic>n</italic> = 340)</td>
<td valign="top" align="left">9.75 &#x000B1; 3.75</td>
<td/>
<td/>
</tr>
 <tr>
<td valign="top" align="left">Yes (<italic>n</italic> = 573)</td>
<td valign="top" align="left">9.6 &#x000B1; 3.66</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left" colspan="2" style="background-color:#dee1e1"><bold>Childhood with parents</bold></td>
<td valign="top" align="left">3.121</td>
<td valign="top" align="left"><bold>0.002</bold></td>
</tr> <tr>
<td valign="top" align="left">No (<italic>n</italic> = 315)</td>
<td valign="top" align="left">10.18 &#x000B1; 3.76</td>
<td/>
<td/>
</tr>
 <tr>
<td valign="top" align="left">Yes (<italic>n</italic> =5 98)</td>
<td valign="top" align="left">9.38 &#x000B1; 3.63</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left" colspan="2" style="background-color:#dee1e1"><bold>The education degree of father</bold></td>
<td valign="top" align="left">0.249</td>
<td valign="top" align="left">0.779</td>
</tr> <tr>
<td valign="top" align="left">High school and below (<italic>n</italic> = 349)</td>
<td valign="top" align="left">9.59 &#x000B1; 3.62</td>
<td/>
<td/>
</tr>
 <tr>
<td valign="top" align="left">College and undergraduate (<italic>n</italic> = 485)</td>
<td valign="top" align="left">9.73 &#x000B1; 3.76</td>
<td/>
<td/>
</tr>
 <tr>
<td valign="top" align="left">Master&#x00027;s degree or above (<italic>n</italic> = 79)</td>
<td valign="top" align="left">9.47 &#x000B1; 3.59</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left" colspan="2" style="background-color:#dee1e1"><bold>The education degree of mother</bold></td>
<td valign="top" align="left">0.833</td>
<td valign="top" align="left">0.436</td>
</tr> <tr>
<td valign="top" align="left">High school and below (<italic>n</italic> = 373)</td>
<td valign="top" align="left">9.47 &#x000B1; 3.58</td>
<td/>
<td/>
</tr>
 <tr>
<td valign="top" align="left">College and undergraduate (<italic>n</italic> = 485)</td>
<td valign="top" align="left">9.78 &#x000B1; 3.74</td>
<td/>
<td/>
</tr>
 <tr>
<td valign="top" align="left">Master&#x00027;s degree or above (<italic>n</italic> = 55)</td>
<td valign="top" align="left">9.85 &#x000B1; 4.03</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left" colspan="2" style="background-color:#dee1e1"><bold>Annual household income</bold></td>
<td valign="top" align="left">1.927</td>
<td valign="top" align="left">0.124</td>
</tr> <tr>
<td valign="top" align="left">&#x0003C;80,000 (<italic>n</italic> = 152)</td>
<td valign="top" align="left">9.34 &#x000B1; 3.67</td>
<td/>
<td/>
</tr>
 <tr>
<td valign="top" align="left">80,000&#x02013;150,000 (<italic>n</italic> = 323)</td>
<td valign="top" align="left">9.78 &#x000B1; 3.63</td>
<td/>
<td/>
</tr>
 <tr>
<td valign="top" align="left">150,000&#x02013;300,000 (<italic>n</italic> = 274)</td>
<td valign="top" align="left">9.39 &#x000B1; 3.63</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x0003E;300,000 (<italic>n</italic> = 164)</td>
<td valign="top" align="left">10.14 &#x000B1; 3.90</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The bold values indicates the emphasis on <italic>P</italic> values &#x0003C; 0.001.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Factors associated with suicide risk using multiple linear regression analysis.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:&#x00023;919498;color:&#x00023;ffffff">
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="left"><bold>&#x003B2;</bold></th>
<th valign="top" align="left"><bold>S.E</bold>.</th>
<th valign="top" align="left"><bold><italic>t</italic></bold></th>
<th valign="top" align="left"><bold><italic>P</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Grade (senior vs. junior high school)</td>
<td valign="top" align="left">0.275</td>
<td valign="top" align="left">0.211</td>
<td valign="top" align="left">1.306</td>
<td valign="top" align="left">0.192</td>
</tr> <tr>
<td valign="top" align="left">Gender (female vs. male)</td>
<td valign="top" align="left">1.229</td>
<td valign="top" align="left">0.219</td>
<td valign="top" align="left">5.617</td>
<td valign="top" align="left"><bold>&#x0003C;0.001</bold></td>
</tr> <tr>
<td valign="top" align="left">The status of only child (yes vs. no)</td>
<td valign="top" align="left">0.258</td>
<td valign="top" align="left">0.221</td>
<td valign="top" align="left">1.169</td>
<td valign="top" align="left">0.243</td>
</tr> <tr>
<td valign="top" align="left">Childhood with parents (yes vs. no)</td>
<td valign="top" align="left">&#x02212;0.123</td>
<td valign="top" align="left">0.219</td>
<td valign="top" align="left">&#x02212;0.562</td>
<td valign="top" align="left">0.574</td>
</tr> <tr>
<td valign="top" align="left">The education degree of father</td>
<td valign="top" align="left">&#x02212;0.318</td>
<td valign="top" align="left">0.225</td>
<td valign="top" align="left">&#x02212;1.415</td>
<td valign="top" align="left">0.157</td>
</tr> <tr>
<td valign="top" align="left">The education degree of mother</td>
<td valign="top" align="left">0.175</td>
<td valign="top" align="left">0.237</td>
<td valign="top" align="left">0.741</td>
<td valign="top" align="left">0.459</td>
</tr> <tr>
<td valign="top" align="left">Annual household income</td>
<td valign="top" align="left">0.135</td>
<td valign="top" align="left">0.124</td>
<td valign="top" align="left">1.093</td>
<td valign="top" align="left">0.275</td>
</tr> <tr>
<td valign="top" align="left">Family function</td>
<td valign="top" align="left">&#x02212;0.252</td>
<td valign="top" align="left">0.04</td>
<td valign="top" align="left">&#x02212;6.225</td>
<td valign="top" align="left"><bold>&#x0003C;0.001</bold></td>
</tr> <tr>
<td valign="top" align="left">Depression of parents</td>
<td valign="top" align="left">0.005</td>
<td valign="top" align="left">0.037</td>
<td valign="top" align="left">0.144</td>
<td valign="top" align="left">0.886</td>
</tr> <tr>
<td valign="top" align="left">Anxiety of parents</td>
<td valign="top" align="left">&#x02212;0.019</td>
<td valign="top" align="left">0.04</td>
<td valign="top" align="left">&#x02212;0.486</td>
<td valign="top" align="left">0.627</td>
</tr> <tr>
<td valign="top" align="left">Subjective wellbeing</td>
<td valign="top" align="left">&#x02212;0.361</td>
<td valign="top" align="left">0.087</td>
<td valign="top" align="left">&#x02212;4.129</td>
<td valign="top" align="left"><bold>&#x0003C;0.001</bold></td>
</tr> <tr>
<td valign="top" align="left">Depression of student</td>
<td valign="top" align="left">0.205</td>
<td valign="top" align="left">0.029</td>
<td valign="top" align="left">7.177</td>
<td valign="top" align="left"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Anxiety of student</td>
<td valign="top" align="left">0.047</td>
<td valign="top" align="left">0.032</td>
<td valign="top" align="left">1.448</td>
<td valign="top" align="left">0.148</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The bold values indicates the emphasis on <italic>P</italic> values &#x0003C;0.001.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>3.2. Correlation between factors associated with suicide risk</title>
<p>The full pattern of correlations is summarized in <xref ref-type="table" rid="T3">Table 3</xref>. The results showed that family function and subjective wellbeing were negatively correlated with suicide risk (<italic>P</italic> &#x0003C; 0.001), and the severity of teenagers&#x00027; depression was positively correlated with suicide risk (<italic>P</italic> &#x0003C; 0.001). Moreover, a significant positive correlation was found between family function and subjective wellbeing (<italic>P</italic> &#x0003C; 0.001). Family function and subjective wellbeing showed significant negative correlations with the severity of teenagers&#x00027; depression as well (<italic>P</italic> &#x0003C; 0.001).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>The association between family and emotional factors with the risk of suicide.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:&#x00023;919498;color:&#x00023;ffffff">
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="left"><bold>Suicide risk</bold></th>
<th valign="top" align="left"><bold>Family function</bold></th>
<th valign="top" align="left"><bold>Subjective wellbeing</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Family function</td>
<td valign="top" align="left">&#x02212;0.412<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">&#x02013;</td>
</tr> <tr>
<td valign="top" align="left">Subjective wellbeing</td>
<td valign="top" align="left">&#x02212;0.422<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="left">0.386<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="left">1</td>
</tr>
<tr>
<td valign="top" align="left">Depression of student</td>
<td valign="top" align="left">0.561<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="left">&#x02212;0.389<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="left">&#x02212;0.505<sup>&#x0002A;&#x0002A;</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;&#x0002A;</sup><italic>P</italic> &#x0003C; 0.001.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>3.3. The chain mediation of subjective wellbeing and depression in the relationship between family function and suicide risk</title>
<p>As shown in <xref ref-type="table" rid="T4">Table 4</xref> and <xref ref-type="fig" rid="F1">Figure 1</xref>, when the variable of gender was controlled, family function was negatively associated with suicide risk (95%CI: &#x02212;0.324, &#x02212;0.173) and depression was positively associated with suicide risk (95%CI: 0.415, 0.584), while subjective wellbeing was not significantly associated with suicide risk (<italic>P</italic> = 0.069, 95%CI: &#x02212;0.149, 0.005). In addition, the results of the chain mediation model showed that depression acted as an important mediator, as the chain mediating effect of depression and the sequential chain mediating effect for subjective wellbeing and depression in the association between family function and suicide risk were both significant (95%CI: &#x02212;0.171, &#x02212;0.084; 95%CI: &#x02212;0.119, &#x02212;0.070). The results of the SEM showed that the chi-square test of model fit value was 626.306, degrees of freedom = 165, RMSEA = 0.055, CFI = 0.939, and TLI = 0.930, indicating a good fit.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Relationships among multiple variables in the structural equation model.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:&#x00023;919498;color:&#x00023;ffffff">
<th valign="top" align="left"><bold>Relationship</bold></th>
<th valign="top" align="left"><bold>Estimate</bold></th>
<th valign="top" align="left"><bold>S.E</bold>.</th>
<th valign="top" align="left"><bold><italic>P</italic></bold></th>
<th valign="top" align="left"><bold>95%CI</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">F &#x02192; SWB</td>
<td valign="top" align="left">0.413</td>
<td valign="top" align="left">0.033</td>
<td valign="top" align="left"><bold>&#x0003C;0.001</bold></td>
<td valign="top" align="left">0.348, 0.478</td>
</tr> <tr>
<td valign="top" align="left">SWB &#x02192; D</td>
<td valign="top" align="left">&#x02212;0.449</td>
<td valign="top" align="left">0.035</td>
<td valign="top" align="left"><bold>&#x0003C;0.001</bold></td>
<td valign="top" align="left">&#x02212;0.517, &#x02212;0.382</td>
</tr> <tr>
<td valign="top" align="left">F &#x02192; D</td>
<td valign="top" align="left">&#x02212;0.249</td>
<td valign="top" align="left">0.037</td>
<td valign="top" align="left"><bold>&#x0003C;0.001</bold></td>
<td valign="top" align="left">&#x02212;0.321, &#x02212;0.176</td>
</tr> <tr>
<td valign="top" align="left">F &#x02192; S</td>
<td valign="top" align="left">&#x02212;0.246</td>
<td valign="top" align="left">0.038</td>
<td valign="top" align="left"><bold>&#x0003C;0.001</bold></td>
<td valign="top" align="left">&#x02212;0.324, &#x02212;0.173</td>
</tr> <tr>
<td valign="top" align="left">SWB &#x02192; S</td>
<td valign="top" align="left">&#x02212;0.074</td>
<td valign="top" align="left">0.04</td>
<td valign="top" align="left">0.063</td>
<td valign="top" align="left">&#x02212;0.149, 0.005</td>
</tr> <tr>
<td valign="top" align="left">D &#x02192; S</td>
<td valign="top" align="left">0.503</td>
<td valign="top" align="left">0.042</td>
<td valign="top" align="left"><bold>&#x0003C;0.001</bold></td>
<td valign="top" align="left">0.415, 0.584</td>
</tr> <tr>
<td valign="top" align="left">F &#x02192; SWB &#x02192; S</td>
<td valign="top" align="left">&#x02212;0.030</td>
<td valign="top" align="left">0.017</td>
<td valign="top" align="left">0.069</td>
<td valign="top" align="left">&#x02212;0.064, 0.002</td>
</tr> <tr>
<td valign="top" align="left">F &#x02192; D &#x02192; S</td>
<td valign="top" align="left">&#x02212;0.125</td>
<td valign="top" align="left">0.022</td>
<td valign="top" align="left"><bold>&#x0003C;0.001</bold></td>
<td valign="top" align="left">&#x02212;0.171, &#x02212;0.084</td>
</tr>
<tr>
<td valign="top" align="left">F &#x02192; SWB &#x02192; D &#x02192; S</td>
<td valign="top" align="left">&#x02212;0.093</td>
<td valign="top" align="left">0.012</td>
<td valign="top" align="left"><bold>&#x0003C;0.001</bold></td>
<td valign="top" align="left">&#x02212;0.119, &#x02212;0.070</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>F, family function; D, depression; SWB, subjective wellbeing; S, suicide; S.E., standard error; CI, confidence interval. The bold values indicates the emphasis on <italic>P</italic> values &#x0003C;0.001.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Structural equation model. The solid line represents a significant relationship between the two variables. Chi-square = 626.306; Df = 165; Chi-square/df = 3.796; CFI = 0.939; TLI = 0.930; RMSEA = 0.055.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-11-1164999-g0001.tif"/>
</fig></sec></sec>
<sec id="s4">
<title>4. Discussion</title>
<p>Individuals with previous self-harm behaviors have been regarded as a high-risk population for suicide (<xref ref-type="bibr" rid="B39">39</xref>). Our study showed that up to 78.6% of teenagers with a history of self-harm behaviors might have the possibility of suicide, the rate was much higher than that of general teenagers (<xref ref-type="bibr" rid="B40">40</xref>). This study also found that gender, family function, subjective wellbeing, and severity of teenagers&#x00027; depression were associated with the suicide risk of teenagers with a history of self-harm behaviors. Additionally, the results of the SEM showed that family function, subjective wellbeing, and severity of depression affected the suicide risk of teenagers with a history of self-harm behaviors via chain mediation.</p>
<p>Consistent with previous studies, gender differences played important roles in adolescents&#x00027; suicide (<xref ref-type="bibr" rid="B41">41</xref>). A potential reason might be that compared to males, females are more likely to be frustrated, guilty, and less confident during the adolescence transition period, and they tend to react to depression in a ruminative manner (<xref ref-type="bibr" rid="B42">42</xref>), consequently, they are more prone to extreme thoughts and behaviors. Another explanation might be that males tend to choose more violent and lethal methods, such as firearms and hanging, rendering males presenting with fewer suicide attempts but higher suicide death (<xref ref-type="bibr" rid="B43">43</xref>).</p>
<p>In this study, family function was found to be negatively associated with suicide risk in teenagers with a history of self-harm behaviors, both independently and via chain mediation of subjective wellbeing and depression, highlighting the role of family factors in the mitigation of suicide risk. The relationship between family function and suicide risk has been highlighted, as family characteristics including high family conflict and low parental monitoring are related to a higher risk of death by suicide (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Alvarez et al. pointed out that dysfunctional family patterns, such as parental neglect, affection-less control bonding, and insecure attachment were significant risk factors for suicide, conversely, parental care and sense of security were revealed as protective factors for suicide (<xref ref-type="bibr" rid="B45">45</xref>). Good family function, such as family cohesion, was related to less suicide risk, even though this association was conditioned by self-stigma (<xref ref-type="bibr" rid="B46">46</xref>). Susukida et al. also found that regardless of having lived with parents during childhood, individuals who perceived parental love had significantly lower lifetime suicide risk (<xref ref-type="bibr" rid="B47">47</xref>). Furthermore, family therapy has been considered a recommended approach for decreasing suicide, especially among children and adolescents (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>). For example, attachment-based family therapy and family-enhanced non-directive supportive therapy substantially reduced adolescents&#x00027; suicide ideation and depressive symptoms, better than other more intensive, multicomponent treatments (<xref ref-type="bibr" rid="B48">48</xref>). Therefore, improving family function seems to be an essential target for suicide prevention among teenagers.</p>
<p>Previous self-harm behaviors could be an earlier signal of depression, and, in turn, depression might lead to future suicide in the face of family pathology (<xref ref-type="bibr" rid="B50">50</xref>). Affective states might confer risk for suicide, particularly, patients with severe depression symptoms presented more frequent and less controlled suicide ideation (<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B52">52</xref>). Furthermore, depressive symptom severity might serve as a mediator between family function and suicide ideation severity (<xref ref-type="bibr" rid="B53">53</xref>). Our results suggested that there might be chain mediation effects, namely, depression mediates the suicide risk between family function and subjective wellbeing, and to our knowledge, this has been rarely reported. Subjective wellbeing is a psychological index to comprehensively measure an individual&#x00027;s satisfaction with their life and the prevalence of positive emotions over negative emotions (<xref ref-type="bibr" rid="B54">54</xref>). Previous studies have suggested that subjective wellbeing was negatively associated with suicide risk (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Whereas, a direct association between subjective wellbeing and suicide risk was not observed in this study, which might be masked by depression symptoms. Family has been examined as a typical microsystem that influences an individual&#x00027;s subjective wellbeing, and &#x0007E;40% of the variation in children&#x00027;s subjective wellbeing could be explained by family factors (<xref ref-type="bibr" rid="B55">55</xref>&#x02013;<xref ref-type="bibr" rid="B57">57</xref>). The underlying mechanisms of the chain mediation effects might be that impaired family function creates a stressful environment, increasing the feelings of loneliness and abandonment, which then decrease children and adolescents&#x00027; subjective wellbeing perception, further aggravating their emotion regulation difficulties, and finally, leading to suicide (<xref ref-type="bibr" rid="B58">58</xref>&#x02013;<xref ref-type="bibr" rid="B60">60</xref>).</p>
<p>Overall, the current study suggested that family function, severity of depression, and subjective wellbeing were important factors that affected suicide risk in teenagers with a history of self-harm behavior. More importantly, depression mediated the suicide risk between family function and subjective wellbeing. Hence, comprehensive intervention strategies consisting of multilevel approaches, such as programs enhancing family function, depression education, and subjective wellbeing promotion, should be recommended in the prevention of suicide risk.</p>
<p>Several limitations of this study need to be considered. First, this study was cross-sectional and unable to show causality. Second, this study focused on the history of self-harm behaviors without investigating their frequency, more detailed clues might be lost. Third, the SBQ-R has been mainly applied to Chinese college students with good reliability and validity, while its reliability and validity among Chinese teenagers should be further evaluated. Finally, study participation was voluntary and non-mandatory and depended on the cooperation and willingness of participants; therefore, a certain degree of non-response bias might exist in the present results.</p></sec>
<sec id="s5">
<title>5. Conclusion</title>
<p>Among teenagers with a history of self-harm behaviors, 78.6% were regarded to have the possibility of suicide. Family function, depression, and subjective wellbeing were associated with suicide risk, and these associated factors affect the suicide risk via chain mediation. Consequently, intervention strategies such as depression education as well as programs promoting family function and subjective wellbeing should be applied to prevent the suicide of teenagers with a history of self-harm behaviors.</p></sec>
<sec sec-type="data-availability" id="s6">
<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="s7">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of the Wuhan Mental Health Center. Written informed consent to participate in this study was provided by the participants&#x00027; legal guardian/next of kin.</p></sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>MC was responsible for the study design, statistical analyses, and manuscript writing and submission. YZ was responsible for the draft of the protocol and recruitment of participants. DL was responsible for the writing&#x02014;review and funding acquisition. SY, ML, MW, and XL were responsible for the evaluation of mood symptoms and data collection. BY was responsible for methodology and funding acquisition. YL was responsible for project administration and resources. LL was responsible for project supervision, conceptualization, writing&#x02014;review, and editing. All authors contributed to the article and approved the submitted version.</p></sec>
</body>
<back>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This study was supported by the National Natural Science Foundation of China [grant number 72174152] and the Fundamental Research Funds for the Central Universities [grant number 2042022kf1037].</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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 sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;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>
<ref-list>
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