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The relations of psychotic-like experiences (PLEs) and depressive symptoms and the bias of depressive symptoms during the clustering among Chinese adolescents: Findings from the network perspective.
Cheng, Peng; Liu, Zhening; Sun, Meng; Zhang, Wen; Guo, Rui; Hu, Aimin; Long, Yicheng.
Afiliação
  • Cheng P; Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
  • Liu Z; Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
  • Sun M; Department of Social Psychiatry, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
  • Zhang W; Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
  • Guo R; Hunan Xinyang Culture Communication Co., LTD, China.
  • Hu A; College of Medicine, Jishou University, Jishou, Hunan, China.
  • Long Y; Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China. Electronic address: yichenglong@csu.edu.cn.
J Affect Disord ; 350: 867-876, 2024 Apr 01.
Article em En | MEDLINE | ID: mdl-38272370
ABSTRACT

BACKGROUND:

There are rare studies about the network structure of psychotic-like experiences (PLEs) and depressive symptoms among adolescents. Studies have widely acknowledged that PLEs in adolescents confer a higher risk of depressive symptoms, but the complex interactions remain inadequately understood. Our study aimed to examine the hierarchy and inter-associations of PLEs and depressive symptoms in a large adolescent sample from the network analysis perspective.

METHODS:

A total of 5008 Chinese adolescents were enrolled in our sample. Community Assessment of Psychic Experiences-42 (CAPE-42) was applied to build the network. Centrality indexes were calculated to represent the significance of nodes in the network. Community detection was conducted to figure out the specific clustering of nodes. Demographic information was collected for the sub-network comparisons. Accuracy and stability of the network were also tested.

RESULTS:

"Failure", "External control", and "Lack of activity" were the most central nodes. The main bridge nodes linking PLEs and depressive symptoms were "Failure", "Guilty", and "No future". Positive PLE "Odd looks" and negative PLE "Unable to terminate" are the two PLEs that were most relevant to depressive nodes. Community detection further demonstrated the bias of depressive nodes in the data-driven clustering. Comparative sub-network analysis suggested that age was the only demographic factor related to the current network.

CONCLUSION:

In this study of a large adolescent sample, we first demonstrated the network structure and specific clustering preference of PLEs and depressive symptoms. Our findings may enhance the understanding of the relationship between PLE and depressive symptoms.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtornos Psicóticos Tipo de estudo: Diagnostic_studies Limite: Adolescent / Humans País/Região como assunto: Asia Idioma: En Revista: J Affect Disord Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtornos Psicóticos Tipo de estudo: Diagnostic_studies Limite: Adolescent / Humans País/Região como assunto: Asia Idioma: En Revista: J Affect Disord Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China