Evidence map›Paper›PMID 42630923›Full record

ArticleFrontiers in psychiatry2026

Longitudinal relationship between anxiety symptoms and occupational burnout dimensions among newly hired nurses: a cross-lagged network analysis.

Zhilin Bian, Linglin Guo, Mingxia Li, Zi Yang, Yanhong Cai, Feng Wang, Xiaozhen Song, Qian You, Juan Chen, Peiyuan Qiu

Abstract read
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Article in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Zhilin Bian *Department of Epidemiology and Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Linglin Guo *Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.
Mingxia LiWest China School of Nursing, Sichuan University, Chengdu, China.
Zi YangMental Health Center, West China Hospital of Sichuan University, Chengdu, China.
Yanhong CaiMental Health Center, West China Hospital of Sichuan University, Chengdu, China.
Feng WangMental Health Center, West China Hospital of Sichuan University, Chengdu, China.
Xiaozhen SongMental Health Center, West China Hospital of Sichuan University, Chengdu, China.
Qian YouMental Health Center, West China Hospital of Sichuan University, Chengdu, China.
Juan ChenMental Health Center, West China Hospital of Sichuan University, Chengdu, China.
Peiyuan QiuDepartment of Epidemiology and Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aimed to examine the symptom networks of anxiety and occupational burnout among newly hired nurses and to identify central, bridge, and longitudinally influential anxiety symptoms or burnout dimensions that may inform targeted interventions. Methods: Data were collected from newly hired nurses at a tertiary hospital in China between July 2023 and July 2024. Anxiety and burnout were assessed using the Generalized Anxiety Disorder-7 and Maslach Burnout Inventory -Human Services Survey, respectively. Contemporaneous networks at three time points and cross - lagged panel models (for longitudinal networks) were built, with centrality indices evaluating network features. Results: 1) Anxiety prevalence: 4.3%-14.4%; burnout detection rate: 47.4%-54.7%. 2) Contemporaneous networks: "trouble relaxing", "uncontrollable worry", "afraid something will happen" served as the central anxiety symptoms at the three time points, respectively; "depersonalization", "emotional exhaustion" were central burnout dimensions, with "emotional exhaustion" having highest bridge strength. 3) Occupational burnout dimensions showed high autoregressive coefficients. 4) Temporal networks showed that from T1 to T2, temporal associations were mainly concentrated within anxiety symptoms, with "uncontrollable worry" and "worry too much" showing the highest in-strength value. From T2 to T3, stronger associations emerged between anxiety and burnout, with the strongest edge from emotional exhaustion to later nervousness or anxiety; within burnout dimensions, lower personal accomplishment was associated with higher subsequent depersonalization, and depersonalization was related to later emotional exhaustion. Conclusion: Worry-related symptoms, irritability, emotional exhaustion, and depersonalization among newly hired nurses played important roles in the networks. Early screening and targeted interventions should focus on reducing anxiety and uncertainty in the early stage, while greater attention should be paid to occupational burnout as newly hired nurses gradually adapt to clinical work.

Indexed as

anxiety symptomscross-lagged network analysislongitudinal studynursesoccupational burnout

Identifiers

PMID42630923
PMCPMC13495780

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