Evidence map›Paper›PMID 37671266›Full record

ArticlePsychology research and behavior management2023

The Symptom Network Structure of Teachers' Burnout and Its Connection to Psychological Capital.

Danni Xue, Binghai Sun, Weijian Li, Hui Zhou, Fujun Ding, Weilong Xiao

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Article in Psychology research and behavior management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Danni Xue *School of Psychology, Zhejiang Normal University, Jinhua, 321004, People's Republic of China.
Binghai Sun *School of Psychology, Zhejiang Normal University, Jinhua, 321004, People's Republic of China.
Weijian LiSchool of Psychology, Zhejiang Normal University, Jinhua, 321004, People's Republic of China.
Hui ZhouJinhua Advanced Research Institute, Jinhua, Zhejiang, 321004, People's Republic of China.
Fujun DingSchool of Psychology, Zhejiang Normal University, Jinhua, 321004, People's Republic of China.
Weilong XiaoSchool of Psychology, Zhejiang Normal University, Jinhua, 321004, People's Republic of China.ORCID 0000-0002-4836-8934

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Teacher burnout is characterized by emotional and physical exhaustion resulting from excessive work-related stress. Previous research based on traditional latent variable theory has revealed a significant negative relationship between TB and psychological capital (PsyCap). This study explored the complex symptoms of TB and the contact points of PsyCap in reducing TB using psychometric network analysis. Methods: A total of 3991 teachers completed the burnout subscale of the Professional Quality of Life and Psychological Capital Scale. Results: The results showed that: (a) In the TB network, the core symptoms displayed by teachers due to burnout are difficulty feeling "I am a very caring person", "I am happy", and "I am the person I always wanted to be"; (b) The TB-PsyCap network was closely connected, and the symptoms affected each other. PsyCap affected the TB network through "I feel optimistic and happy almost every day" and "I often feel that there is a future as a teacher"; (c) PsyCap's bridge symptoms had a negative impact on TB, and PsyCap may reduce TB primarily through optimistic, hopeful dimensions. Conclusion and Implications: Psychometric network analysis helps us understand the complex symptoms of TB and the contact points of PsyCap in reducing TB. This study offers valuable insights into the prevention of, and intervention in, burnout within the teaching community.

Indexed as

network analysisnetwork comparisonpsychological capitalteacher burnout

Identifiers

PMID37671266
PMCPMC10476865

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