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Resilience and Flexibility for Clinical Nurses: A Latent Class Analysis

Aim. To explore potential resilience and psychological flexibility patterns in nurses and analyze the effects of related factors such as growth mindset and professional recognition of categories. Background. Resilience and psychological flexibility can help nurses resist occupational pressure and pl...

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Published in:Journal of nursing management 2024-05, Vol.2024, p.1-12
Main Authors: Zhao, Shuang, Zhang, Zeyu, Duan, Xiaocui, Shao, Yujiao, Wang, Fuzhi, Chen, Yongxia, Yang, Congyan, Chen, Lingling, Wang, Fei, Zhang, Jiaoping, Zhang, Hailing, Yang, Xiumu, Yuan, Changjiang
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container_end_page 12
container_issue
container_start_page 1
container_title Journal of nursing management
container_volume 2024
creator Zhao, Shuang
Zhang, Zeyu
Duan, Xiaocui
Shao, Yujiao
Wang, Fuzhi
Chen, Yongxia
Yang, Congyan
Chen, Lingling
Wang, Fei
Zhang, Jiaoping
Zhang, Hailing
Yang, Xiumu
Yuan, Changjiang
description Aim. To explore potential resilience and psychological flexibility patterns in nurses and analyze the effects of related factors such as growth mindset and professional recognition of categories. Background. Resilience and psychological flexibility can help nurses resist occupational pressure and play essential roles in promoting personal growth and professional development. Methods. A latent category approach was used to examine the patterns of heterogeneity in resilience and flexibility among 805 nurses. Differences in the influences related to resilience and flexibility were analyzed using univariate and multivariate logistic regressions, with demographic information, growth mindset, and career recognition as covariates. Results. Participants were divided into three potential categories: toughness-flexible (32.8%), power-deficit-emotional (23.1%), and toughness-rigid (44.1%). The results of multivariate logistic regression analysis showed that monthly income, mode of employment, growth mindset, and professional identity were influential factors in the potential categories of nurse resilience and flexibility. Conclusion. One cohort of nurses had high resilience and low flexibility, and psychological rigidity was related to the fact that the monthly income was less than RMB 5,000 and the contractual mode of employment. An excellent growth mindset and a high professional identity indicate that nurses are resilient and flexible. Implications for Nursing Management. Hospitals and nursing managers should pay attention to nurses’ different career development needs and implement appropriate safeguards.
doi_str_mv 10.1155/2024/6171305
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To explore potential resilience and psychological flexibility patterns in nurses and analyze the effects of related factors such as growth mindset and professional recognition of categories. Background. Resilience and psychological flexibility can help nurses resist occupational pressure and play essential roles in promoting personal growth and professional development. Methods. A latent category approach was used to examine the patterns of heterogeneity in resilience and flexibility among 805 nurses. Differences in the influences related to resilience and flexibility were analyzed using univariate and multivariate logistic regressions, with demographic information, growth mindset, and career recognition as covariates. Results. Participants were divided into three potential categories: toughness-flexible (32.8%), power-deficit-emotional (23.1%), and toughness-rigid (44.1%). The results of multivariate logistic regression analysis showed that monthly income, mode of employment, growth mindset, and professional identity were influential factors in the potential categories of nurse resilience and flexibility. Conclusion. One cohort of nurses had high resilience and low flexibility, and psychological rigidity was related to the fact that the monthly income was less than RMB 5,000 and the contractual mode of employment. An excellent growth mindset and a high professional identity indicate that nurses are resilient and flexible. Implications for Nursing Management. Hospitals and nursing managers should pay attention to nurses’ different career development needs and implement appropriate safeguards.</description><identifier>ISSN: 0966-0429</identifier><identifier>EISSN: 1365-2834</identifier><identifier>DOI: 10.1155/2024/6171305</identifier><language>eng</language><publisher>Oxford: Hindawi</publisher><subject>Acknowledgment ; Career development ; Career development planning ; Careers ; Clinical nursing ; Consent ; Education ; Employment ; Flexibility ; Hospitals ; Influence ; Latent class analysis ; Likert scale ; Mental health ; Nurses ; Nursing care ; Personal development ; Professional development ; Professional identity ; Psychological flexibility ; Questionnaires ; Regression analysis ; Resilience ; Safeguards ; Software</subject><ispartof>Journal of nursing management, 2024-05, Vol.2024, p.1-12</ispartof><rights>Copyright © 2024 Shuang Zhao et al.</rights><rights>Copyright © 2024 Shuang Zhao et al. 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To explore potential resilience and psychological flexibility patterns in nurses and analyze the effects of related factors such as growth mindset and professional recognition of categories. Background. Resilience and psychological flexibility can help nurses resist occupational pressure and play essential roles in promoting personal growth and professional development. Methods. A latent category approach was used to examine the patterns of heterogeneity in resilience and flexibility among 805 nurses. Differences in the influences related to resilience and flexibility were analyzed using univariate and multivariate logistic regressions, with demographic information, growth mindset, and career recognition as covariates. Results. Participants were divided into three potential categories: toughness-flexible (32.8%), power-deficit-emotional (23.1%), and toughness-rigid (44.1%). The results of multivariate logistic regression analysis showed that monthly income, mode of employment, growth mindset, and professional identity were influential factors in the potential categories of nurse resilience and flexibility. Conclusion. One cohort of nurses had high resilience and low flexibility, and psychological rigidity was related to the fact that the monthly income was less than RMB 5,000 and the contractual mode of employment. An excellent growth mindset and a high professional identity indicate that nurses are resilient and flexible. Implications for Nursing Management. 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subjects Acknowledgment
Career development
Career development planning
Careers
Clinical nursing
Consent
Education
Employment
Flexibility
Hospitals
Influence
Latent class analysis
Likert scale
Mental health
Nurses
Nursing care
Personal development
Professional development
Professional identity
Psychological flexibility
Questionnaires
Regression analysis
Resilience
Safeguards
Software
title Resilience and Flexibility for Clinical Nurses: A Latent Class Analysis
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