Comparison of mental health networks across different educational stages.
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| Title: | Comparison of mental health networks across different educational stages. |
|---|---|
| Authors: | Wang, Siru (AUTHOR), Yu, Minglan (AUTHOR), Zhang, Xuemei (AUTHOR), Huang, Wenyi (AUTHOR), Wang, Tingting (AUTHOR), Liu, Kezhi (AUTHOR), Xiang, Bo (AUTHOR) |
| Source: | European Child & Adolescent Psychiatry. Oct2025, Vol. 34 Issue 10, p3115-3123. 9p. |
| Subjects: | Psychiatric epidemiology, Mental illness risk factors, Competency assessment (Law), Psychology of middle school students, High schools, Cross-sectional method, Risk assessment, Elementary schools, Paranoia, Research funding, Psychology of school children, Psychology of high school students, Kruskal-Wallis Test, Sex distribution, Mann Whitney U Test, Descriptive statistics, Anxiety, Psychological adaptation, Age distribution, Adolescent psychology, Academic achievement, Comparative studies, Data analysis software, Interpersonal relations, Teacher-student relationships, Child psychology, Pathological psychology, Mental depression |
| Geographic Terms: | China |
| Abstract: | Mental health concerns are growing more prevalent among students of school age. This study employed network analysis to view mental health problems as a network of interconnected symptoms, and to compare how these networks vary across different stages of school age. A sum of 60, 465 Chinese students in Grades 4 through 12 were selected to participate in the Middle School Student Mental Health Inventory (MMHI-60). The mental health network and bridge centrality were assessed through network analysis. Network comparison tests were performed to compare the networks among elementary, junior high, and senior high school students. 12.2% of elementary school students, 22.1% of junior high school students, and 24.9% of senior high school students exceeded the threshold for overall mental health issues as defined by the MMHI-60. The network analysis indicated that anxiety emerged consistently as a central dimension of mental health issues across all educational levels; paranoid ideation was prevalent in both junior and senior high school, whereas emotional disturbance was particularly characteristic of elementary school. Upon comparing the network structures, it was found that the mental health network connectivity was more pronounced among senior high school students, indicating closer associations between dimensions in this group. Identifying core mental health dimensions and their unique connections in school-aged students at each stage, especially the strong links between dimensions in senior high school students, is crucial for creating successful mental health dimension prevention and intervention strategies for students in educational settings. [ABSTRACT FROM AUTHOR] |
| Copyright of European Child & Adolescent Psychiatry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 189168607 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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Oct2025, Vol. 34 Issue 10, p3115-3123. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Psychiatric+epidemiology%22">Psychiatric epidemiology</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+illness+risk+factors%22">Mental illness risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Competency+assessment+%28Law%29%22">Competency assessment (Law)</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology+of+middle+school+students%22">Psychology of middle school students</searchLink><br /><searchLink fieldCode="DE" term="%22High+schools%22">High schools</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+schools%22">Elementary schools</searchLink><br /><searchLink fieldCode="DE" term="%22Paranoia%22">Paranoia</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology+of+school+children%22">Psychology of school children</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology+of+high+school+students%22">Psychology of high school students</searchLink><br /><searchLink fieldCode="DE" term="%22Kruskal-Wallis+Test%22">Kruskal-Wallis Test</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+distribution%22">Sex distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Mann+Whitney+U+Test%22">Mann Whitney U Test</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Anxiety%22">Anxiety</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+adaptation%22">Psychological adaptation</searchLink><br /><searchLink fieldCode="DE" term="%22Age+distribution%22">Age distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Adolescent+psychology%22">Adolescent psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+achievement%22">Academic achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Interpersonal+relations%22">Interpersonal relations</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher-student+relationships%22">Teacher-student relationships</searchLink><br /><searchLink fieldCode="DE" term="%22Child+psychology%22">Child psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Pathological+psychology%22">Pathological psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Mental health concerns are growing more prevalent among students of school age. This study employed network analysis to view mental health problems as a network of interconnected symptoms, and to compare how these networks vary across different stages of school age. A sum of 60, 465 Chinese students in Grades 4 through 12 were selected to participate in the Middle School Student Mental Health Inventory (MMHI-60). The mental health network and bridge centrality were assessed through network analysis. Network comparison tests were performed to compare the networks among elementary, junior high, and senior high school students. 12.2% of elementary school students, 22.1% of junior high school students, and 24.9% of senior high school students exceeded the threshold for overall mental health issues as defined by the MMHI-60. The network analysis indicated that anxiety emerged consistently as a central dimension of mental health issues across all educational levels; paranoid ideation was prevalent in both junior and senior high school, whereas emotional disturbance was particularly characteristic of elementary school. Upon comparing the network structures, it was found that the mental health network connectivity was more pronounced among senior high school students, indicating closer associations between dimensions in this group. Identifying core mental health dimensions and their unique connections in school-aged students at each stage, especially the strong links between dimensions in senior high school students, is crucial for creating successful mental health dimension prevention and intervention strategies for students in educational settings. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of European Child & Adolescent Psychiatry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00787-025-02731-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 3115 Subjects: – SubjectFull: Psychiatric epidemiology Type: general – SubjectFull: Mental illness risk factors Type: general – SubjectFull: Competency assessment (Law) Type: general – SubjectFull: Psychology of middle school students Type: general – SubjectFull: High schools Type: general – SubjectFull: Cross-sectional method Type: general – SubjectFull: Risk assessment Type: general – SubjectFull: Elementary schools Type: general – SubjectFull: Paranoia Type: general – SubjectFull: Research funding Type: general – SubjectFull: Psychology of school children Type: general – SubjectFull: Psychology of high school students Type: general – SubjectFull: Kruskal-Wallis Test Type: general – SubjectFull: Sex distribution Type: general – SubjectFull: Mann Whitney U Test Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Anxiety Type: general – SubjectFull: Psychological adaptation Type: general – SubjectFull: Age distribution Type: general – SubjectFull: Adolescent psychology Type: general – SubjectFull: Academic achievement Type: general – SubjectFull: Comparative studies Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Interpersonal relations Type: general – SubjectFull: Teacher-student relationships Type: general – SubjectFull: Child psychology Type: general – SubjectFull: Pathological psychology Type: general – SubjectFull: Mental depression Type: general – SubjectFull: China Type: general Titles: – TitleFull: Comparison of mental health networks across different educational stages. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Siru – PersonEntity: Name: NameFull: Yu, Minglan – PersonEntity: Name: NameFull: Zhang, Xuemei – PersonEntity: Name: NameFull: Huang, Wenyi – PersonEntity: Name: NameFull: Wang, Tingting – PersonEntity: Name: NameFull: Liu, Kezhi – PersonEntity: Name: NameFull: Xiang, Bo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10188827 Numbering: – Type: volume Value: 34 – Type: issue Value: 10 Titles: – TitleFull: European Child & Adolescent Psychiatry Type: main |
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