CORRECTION article

Front. Psychiatry

Sec. Computational Psychiatry

Volume 16 - 2025 | doi: 10.3389/fpsyt.2025.1642874

Correction: Social, lifestyle, and health status characteristics as a proxy for occupational burnout identification: A network approach analysis

Provisionally accepted
Fengshi JINGFengshi JING1,2Mengyuan ChengMengyuan Cheng1Jing LiJing Li3Chaocheng HeChaocheng He4Hao RenHao Ren1Jiandong ZhouJiandong Zhou5Hanchu ZHOUHanchu ZHOU6Zhongzhi XuZhongzhi Xu7Weiming ChenWeiming Chen1Weibin ChengWeibin Cheng1*
  • 1Guangdong Second Provincial General Hospital, Guangzhou, China
  • 2The University of North Carolina at Chapel Hill, Chapel Hill, United States
  • 3Guangzhou Baiyun International Airport, Guangzhou, China
  • 4Wuhan University, Wuhan, China
  • 5University of Oxford, Oxford, United Kingdom
  • 6Central South University, Changsha, China
  • 7Sun Yat-Sen University, Guangzhou, China

This article is a correction to:

  1. Social, lifestyle, and health status characteristics as a proxy for occupational burnout identification: A network approach analysis

    1. Read original article

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Correction on: Jing F, Cheng M, Li J, He C, Ren H, Zhou J, Zhou H, Xu Z, Chen W and Cheng W (2023) Social, lifestyle, and health status characteristics as a proxy for occupational burnout identification: A network approach analysis. Front. Psychiatry. 14:1119421. doi: 10.3389/fpsyt.2023.1119421 In the published article, there was an error in the Funding statement. The funding statement for the Guangzhou Science and Technology Project was displayed as 'No. SL2022A03J00781 and No. SL2022A04J01130' (previously, we used the funding proposal application numbers). The correct Funding statement appears below.The correct statement is 'the Guangzhou Science and Technology Project (No. 2023A03J0286 and No. 2023A04J1715)' (the correct identifiers are the officially granted project numbersthese correspond to the same two projects).The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.for a reason not seen here, please contact the journal's editorial office.

Keywords: Occupational burnout, Network Science, Health management, Exponential random graph model, social networks

Received: 07 Jun 2025; Accepted: 09 Jun 2025.

Copyright: © 2025 JING, Cheng, Li, He, Ren, Zhou, ZHOU, Xu, Chen and Cheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Weibin Cheng, Guangdong Second Provincial General Hospital, Guangzhou, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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