Evidence map›Paper›PMID 42908256›Full record

ArticleJournal of nursing management2026

The Status of and Factors Associated With Quiet Quitting Among Clinical Nurses: An Evaluation and Latent Profile Analysis.

Haiping Jin, Xiaoling Yang, Jiya Chen, Linghong Mao, Rongrong Wang, Tao-Hsin Tung

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Article in Journal of nursing management, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Haiping JinOrthopaedics, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China, wmu.edu.cn.ORCID https://orcid.org/0009-0001-5690-6552
Xiaoling YangFaculty of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China, wmu.edu.cn.ORCID https://orcid.org/0009-0007-3101-384X
Jiya ChenHospital Administration, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China, wmu.edu.cn.ORCID https://orcid.org/0009-0001-2391-3756
Linghong MaoNursing Department, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China, wmu.edu.cn.ORCID https://orcid.org/0009-0007-5546-2914
Rongrong WangNursing Department, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China, wmu.edu.cn.ORCID https://orcid.org/0009-0006-5166-8889
Tao-Hsin TungEvidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province, Linhai, Zhejiang, China, zjtzyy.h.51daifu.com.ORCID https://orcid.org/0000-0003-2097-8375

Funding

National Natural Science Foundation of China 72374157
6 · The paper itself

Abstract

aimsThis study aimed to examine the prevalence and latent profiles of quiet quitting among clinical nurses and identify factors associated with this condition across different nurse subgroups.

backgroundQuiet quitting among clinical nurses poses a hidden threat to nursing workforce stability and quality of care. Burnout, work-family conflict, and professional identity are closely associated with quiet quitting in nurses. However, academic studies examined quiet quitting as a single global construct, without identifying the potentially heterogeneous profiles within the nursing workforce.

methodsConvenience sampling was used to recruit clinical nurses employed at a Grade A tertiary hospital in Zhejiang Province between September 4 and 30, 2025. Data were collected using five questionnaires. The components used for the analysis included a general information questionnaire, the Quiet Quitting Scale, Maslach Burnout Inventory, Work-Family Conflict Scale, and Professional Identity Scale. Latent profile analysis (LPA) was used to identify characteristic profiles of quiet quitting among nurses. Multinomial logistic regression analysis was performed to identify the factors associated with the different latent profile categories.

resultsIn total, 307 nurses participated in this study. The prevalence of quiet quitting was 76.2%, with an average score of 2.41 ± 0.56 points per item on the quiet-quitting scale. The LPA identified three distinct quiet-quitting profiles of nurses: "Conscientious Type" (21.82%), the "Observant Type" (65.15%), and the "Disengaged Type" (13.03%). Multinomial logistic regression analysis showed that burnout, professional identity, and professional title were factors associated with "Observant Type" nurses. In contrast, burnout, work-family conflict, and professional title were identified as factors associated with "Disengaged Type" nurses.

conclusionsBurnout, work-family conflict, professional identity, and professional title were identified as factors associated with quiet quitting among clinical nurses. Nursing administrators should develop targeted intervention strategies based on the characteristics of each identified nursing profile. IMPLICATIONS FOR NURSING MANAGEMENT: Nursing administrators should implement profile-stratified interventions (psychological support, workload optimization, equitable recognition, and structured professional development) alongside structural empowerment and transparent reward systems to strengthen the professional identity and workforce stability of nursing staff.

Indexed as

Burnout, ProfessionalNursesAdultChinaFemaleHumansJob SatisfactionMaleMiddle AgedPsychometricsRole ConflictSurveys and Questionnairesassociated factorsclinical nurseslatent profile analysisquiet quitting

Identifiers

PMID42908256
PMCPMC13687790

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.