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护理学报 ›› 2024, Vol. 31 ›› Issue (23): 1-7.doi: 10.16460/j.issn1008-9969.2024.23.001

• 研究生园地 •    下一篇

低年资护士心理弹性的潜在剖面及其对适应性绩效的影响

李思媛1, 吴雨泽1, 魏雪梅1, 罗澜峻2, 邓美红1, 李梅1, 崔丽君1   

  1. 1.川北医学院附属医院, 四川 南充 637000;
    2.川北医学院 管理系, 四川 南充 637000
  • 收稿日期:2024-06-28 出版日期:2024-12-10 发布日期:2025-01-08
  • 通讯作者: 魏雪梅(1975-),女,四川阆中人,硕士,教授,护理部干事。E-mail: 812582182@qq.com
  • 作者简介:李思媛(2000-),女,四川绵阳人,本科学历,硕士研究生在读。
  • 基金资助:
    四川省科技计划资助(2023NSFSC1015);南充市社会科学研究“十四五”规划2023年度项目(NC23B201)

Latent profile of resilience of junior nurses and its impact on adaptive performance

LI Si-yuan1, WU Yu-ze1, WEI Xue-mei1, LUO Lan-jun2, DENG Mei-hong1, LI Mei1, CUI Li-jun1   

  1. 1. Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China;
    2. Dept. of Management, North Sichuan Medical College, Nanchong 637000, China
  • Received:2024-06-28 Online:2024-12-10 Published:2025-01-08

摘要: 目的 探讨低年资护士心理弹性的潜在类别、影响因素以及其对适应性绩效的影响。方法 选取四川省90家三级医院的6 704名低年资护士为研究对象,采用一般资料调查表、心理弹性量表和适应性绩效量表对其进行调查。采用Mplus8.3进行潜在剖面分析建立亚组模型,SPSS 26.0进行统计描述和分析。结果 低年资护士心理弹性可分为低能力—消极认知型(5.9%)、普通能力—积极认知型(40.2%)、中高能力—从容应对型(43.3%)和高能力—意志坚定型(10.6%)4类别。部分人口学资料(职业暴露史、睡眠质量、是否有锻炼、是否患有慢性病)对低年资护士心理弹性的潜在剖面分类有预测作用,心理弹性水平能够正向预测适应性绩效(均P<0.05)。结论 低年资护士心理弹性存在异质性,即低能力—消极认知型、普通能力—积极认知型、中高能力—从容应对型和高能力—意志坚定型;“低能力—消极认知型”的适应性绩效最低,需重点关注。是否有职业暴露史、睡眠质量、是否有锻炼和是否患有慢性病是低年资护士心理弹性潜在类别的影响因素,心理弹性是适应性绩效的重要预测因素。

关键词: 低年资护士, 心理弹性, 潜在剖面分析, 适应性绩效

Abstract: Objective To explore the potential categories and influencing factors of psychological resilience and its impact on adaptive performance among junior nurses, and to provide reference for improving the level of psychological resilience and adaptive performance of junior nurses. Methods A total of 6,704 junior nurses from 90 tertiary hospitals in Sichuan Province were selected as the research objects, and they were investigated using the General Information Questionnaire, Resilience Scale-14, and Adaptive Performance Scale. A latent profile model was developed based on latent profile analysis with Mplus 8.3, and statistical description and analysis were conducted using SPSS 26.0. Results Four latent categories emerged: Low Ability-Negative Cognition (5.9%), General Ability-Positive Cognition (40.2%), Medium-High Ability-Calm Coping (43.3%), and High Ability-Strong Will (10.6%). Some demography data (occupational exposure history, sleep quality, exercise and chronic diseases) had predictive effects on the latent profiles of junior nurses, and the level of resilience could positively predict adaptive performance (P<0.05). Conclusion There is heterogeneity in psychological resilience of junior nurses, and four latent categories are identified as Low Ability-Negative Cognitive, General Ability-Positive Cognition, Medium-High Ability-Calm Coping, and High Ability-Strong Will; the adaptive performance of the type of “Low Ability-Negative Cognitive” is the lowest, which needs to be paid attention to. Occupational exposure history, sleep quality, exercise and chronic diseases are the influencing factors of the potential categories of resilience of junior nurses, and resilience is an important predictor of adaptive performance.

Key words: junior nurse, psychological resilience, latent profile analysis, adaptive performance

中图分类号: 

  • R192.6
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