Depressive Symptoms and Negative Experiences in School : A Network Analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14230%2F22%3A00125735" target="_blank" >RIV/00216224:14230/22:00125735 - isvavai.cz</a>
Result on the web
<a href="https://journals.sagepub.com/doi/10.1177/10105395221092848" target="_blank" >https://journals.sagepub.com/doi/10.1177/10105395221092848</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1177/10105395221092848" target="_blank" >10.1177/10105395221092848</a>

Result language
angličtina
Original language name
Depressive Symptoms and Negative Experiences in School : A Network Analysis
Original language description
Negative experiences in school predict adolescents’ depression. However, the dynamic interactions of depressive symptoms with adolescents’ negative experiences in school remain unclear. This study aims to applied network analysis to detect the complex relationships between early adolescents’ depressive symptoms and negative experiences in school. We adopted the data from a Chinese national survey conducted in 2018. Eight hundred ninety-seven adolescents from 10 to 15 years old were included. The measurements include an 8-item depression screener scale and a 14-item scale assessing negative experiences in school. The centrality analysis suggests that Chinese early adolescents’ core depressive symptoms are negative affections. Regarding “negative experiences in the school,” the most central nodes are poor academic performance and peer relationships. The bridge-centrality results show negative emotions in school and difficulties in peer relationships are significantly linked to depression. Educators should pay attention to adolescents’ negative affection and difficulties in peer relationships in school settings because they are potential signs of depression. Relevant peer support intervention aiming for adolescents’ social development should be underscored.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50101 - Psychology (including human - machine relations)

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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