View in EDS HTML Full Text PDF Full Text

Evolution of Core Symptoms of Depression Disorders Among Chinese Adolescents Across Different Grades.

Saved in:
Bibliographic Details
Title: Evolution of Core Symptoms of Depression Disorders Among Chinese Adolescents Across Different Grades.
Authors: Song, Xiaoxiao (AUTHOR), Li, Yaoyao (AUTHOR), Wang, Xiaoyan (AUTHOR), Wang, Xindi (AUTHOR), Bao, Yanping (AUTHOR), Zhang, Dianshun (AUTHOR), Li, Zhiqiang (AUTHOR), Meng, Chenxia (AUTHOR), Wang, Changming (AUTHOR), Zhang, Xiujun (AUTHOR), Lyu, Shaobo (AUTHOR), Kaura, Nikhat (AUTHOR)
Source: Depression & Anxiety (1091-4269). 5/9/2025, Vol. 2025, p1-12. 12p.
Subjects: Mental depression, Symptoms, Graph theory, COVID-19 pandemic, Grade levels, Teenagers, Gender differences (Sociology), Chinese people
Abstract: Background: Adolescence is a high‐risk period for depression, especially after the COVID‐19 pandemic, when adolescent depression has become increasingly severe. This study employs network analysis to identify core symptoms at various stages. It explores the differences in depression symptom characteristics among Chinese adolescents of different genders during elementary, middle, and high school periods. Methods: A convenience sampling method was used to select 1553 students from various elementary, middle, and high schools in a specific city as participants. Their depression symptoms were assessed using the The Patient Health Questionnaire‐9 (PHQ‐9) depression screening scale. Using graph theory‐based network analysis, this study constructs a depression symptom model via a correlation network and evaluates symptom nodes and their interconnections. Results: The study found significant differences in the detection rates of depression symptoms among the three grade levels (p < 0.001). However, no significant differences were found between male and female students in the detection rates and PHQ‐9 scores (p > 0.05). Through network analysis, this study identified the network changes in depression symptoms among Chinese adolescents of different grades and genders. The results show that "depressed mood" is the core symptom in the elementary and high school groups. At the same time, "fatigue" is the central factor affecting the depression network in the middle school group. Negative emotions and fatigue are the primary symptoms that run through the entire adolescent depression network. Conclusions: This study reveals the heterogeneity of depression symptom networks among adolescent groups of different genders and grades, providing a theoretical basis for personalized interventions for adolescent depression in the future. [ABSTRACT FROM AUTHOR]
Copyright of Depression & Anxiety (1091-4269) is the property of Wiley-Blackwell 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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 185102555
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Evolution of Core Symptoms of Depression Disorders Among Chinese Adolescents Across Different Grades.
– Name: Author
  Label: Authors
  Group: Au
  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Song%2C+Xiaoxiao%22&quot;&gt;Song, Xiaoxiao&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Li%2C+Yaoyao%22&quot;&gt;Li, Yaoyao&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Wang%2C+Xiaoyan%22&quot;&gt;Wang, Xiaoyan&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Wang%2C+Xindi%22&quot;&gt;Wang, Xindi&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Bao%2C+Yanping%22&quot;&gt;Bao, Yanping&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Zhang%2C+Dianshun%22&quot;&gt;Zhang, Dianshun&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Li%2C+Zhiqiang%22&quot;&gt;Li, Zhiqiang&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Meng%2C+Chenxia%22&quot;&gt;Meng, Chenxia&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Wang%2C+Changming%22&quot;&gt;Wang, Changming&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Zhang%2C+Xiujun%22&quot;&gt;Zhang, Xiujun&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Lyu%2C+Shaobo%22&quot;&gt;Lyu, Shaobo&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Kaura%2C+Nikhat%22&quot;&gt;Kaura, Nikhat&lt;/searchLink&gt; (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Depression+%26+Anxiety+%281091-4269%29%22&quot;&gt;Depression &amp; Anxiety (1091-4269)&lt;/searchLink&gt;. 5/9/2025, Vol. 2025, p1-12. 12p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Mental+depression%22&quot;&gt;Mental depression&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Symptoms%22&quot;&gt;Symptoms&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Graph+theory%22&quot;&gt;Graph theory&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22COVID-19+pandemic%22&quot;&gt;COVID-19 pandemic&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Grade+levels%22&quot;&gt;Grade levels&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Teenagers%22&quot;&gt;Teenagers&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Gender+differences+%28Sociology%29%22&quot;&gt;Gender differences (Sociology)&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Chinese+people%22&quot;&gt;Chinese people&lt;/searchLink&gt;
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Adolescence is a high‐risk period for depression, especially after the COVID‐19 pandemic, when adolescent depression has become increasingly severe. This study employs network analysis to identify core symptoms at various stages. It explores the differences in depression symptom characteristics among Chinese adolescents of different genders during elementary, middle, and high school periods. Methods: A convenience sampling method was used to select 1553 students from various elementary, middle, and high schools in a specific city as participants. Their depression symptoms were assessed using the The Patient Health Questionnaire‐9 (PHQ‐9) depression screening scale. Using graph theory‐based network analysis, this study constructs a depression symptom model via a correlation network and evaluates symptom nodes and their interconnections. Results: The study found significant differences in the detection rates of depression symptoms among the three grade levels (p &lt; 0.001). However, no significant differences were found between male and female students in the detection rates and PHQ‐9 scores (p &gt; 0.05). Through network analysis, this study identified the network changes in depression symptoms among Chinese adolescents of different grades and genders. The results show that &quot;depressed mood&quot; is the core symptom in the elementary and high school groups. At the same time, &quot;fatigue&quot; is the central factor affecting the depression network in the middle school group. Negative emotions and fatigue are the primary symptoms that run through the entire adolescent depression network. Conclusions: This study reveals the heterogeneity of depression symptom networks among adolescent groups of different genders and grades, providing a theoretical basis for personalized interventions for adolescent depression in the future. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: &lt;i&gt;Copyright of Depression &amp; Anxiety (1091-4269) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder&#39;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.&lt;/i&gt; (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=185102555
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1155/da/2309327
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 1
    Subjects:
      – SubjectFull: Mental depression
        Type: general
      – SubjectFull: Symptoms
        Type: general
      – SubjectFull: Graph theory
        Type: general
      – SubjectFull: COVID-19 pandemic
        Type: general
      – SubjectFull: Grade levels
        Type: general
      – SubjectFull: Teenagers
        Type: general
      – SubjectFull: Gender differences (Sociology)
        Type: general
      – SubjectFull: Chinese people
        Type: general
    Titles:
      – TitleFull: Evolution of Core Symptoms of Depression Disorders Among Chinese Adolescents Across Different Grades.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Song, Xiaoxiao
      – PersonEntity:
          Name:
            NameFull: Li, Yaoyao
      – PersonEntity:
          Name:
            NameFull: Wang, Xiaoyan
      – PersonEntity:
          Name:
            NameFull: Wang, Xindi
      – PersonEntity:
          Name:
            NameFull: Bao, Yanping
      – PersonEntity:
          Name:
            NameFull: Zhang, Dianshun
      – PersonEntity:
          Name:
            NameFull: Li, Zhiqiang
      – PersonEntity:
          Name:
            NameFull: Meng, Chenxia
      – PersonEntity:
          Name:
            NameFull: Wang, Changming
      – PersonEntity:
          Name:
            NameFull: Zhang, Xiujun
      – PersonEntity:
          Name:
            NameFull: Lyu, Shaobo
      – PersonEntity:
          Name:
            NameFull: Kaura, Nikhat
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 09
              M: 05
              Text: 5/9/2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 10914269
          Numbering:
            – Type: volume
              Value: 2025
          Titles:
            – TitleFull: Depression & Anxiety (1091-4269)
              Type: main
ResultId 1