Nursing Students in an Urban Setting During the COVID-19 Pandemic : Investigating Stress, Stress Response, and Coping Patterns by Descriptive Analysis, Structural Equation Modeling, and Data Sonification.

IF 0.8 Q4 MEDICINE, RESEARCH & EXPERIMENTAL
Joannes Paulus Tolentino Hernandez, Ramkumarie Baliram, Sandy Carollo, Juliet Baidoo-Kanneh
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Abstract

Background: The COVID-19 pandemic has significantly impacted nursing students in urban settings. Understanding stress and coping in this population is essential for developing effective interventions for future pandemics and post-pandemic nursing education.

Aims: This study assesses the interactions between demographic variables and stress responses, demonstrating these relationships through data sonification.

Methods: A cross-sectional analytical study was conducted at an urban nursing college, with 195 participants completing modified versions of the Perceived Stress Scale, Physio-Psycho-Social Response Scale, and Coping Behavior Inventory. Structural equation modeling and data sonification were employed for analysis.

Results: Nursing students reported moderate stress from academic demands and clinical responsibilities, utilizing coping strategies such as problem-solving and optimism. Structural equation modeling indicated a significant negative relationship between coping skills and physio-psycho-social stress (β = -0.301, p < .0001) and a negative association between age and perceived stress (β = -0.160, p = 0.035). Data sonification revealed synchronization between perceived stress and stress responses, with coping efforts peaking slightly after stress levels.

Discussion: While students employ effective coping strategies, targeted interventions are needed to enhance stress management, especially for younger students.

Conclusion: Stress and coping among nursing students in urban settings are complex, with data sonification providing deeper insights. J. Med. Invest. 72 : 102-116, February, 2025.

2019冠状病毒病大流行期间城市环境中的护生:通过描述性分析、结构方程建模和数据超声调查压力、压力反应和应对模式。
背景:COVID-19大流行对城市环境中的护理专业学生产生了重大影响。了解这一人群的压力和应对措施对于制定针对未来大流行和大流行后护理教育的有效干预措施至关重要。目的:本研究评估人口统计变量和应激反应之间的相互作用,通过数据超声证明这些关系。方法:采用横断面分析方法,在一所城市护理学院对195名被试进行压力感知量表、生理-心理-社会反应量表和应对行为量表的测试。采用结构方程建模和数据超声分析方法进行分析。结果:护生学业压力和临床责任压力均处于中等水平,采用解决问题和乐观的应对策略。结构方程模型显示,应对技能与生理-心理-社会压力呈显著负相关(β = -0.301, p < 0.0001),年龄与感知压力呈负相关(β = -0.160, p = 0.035)。数据超声显示感知压力和应激反应之间的同步,应对努力在应激水平后达到峰值。讨论:当学生采用有效的应对策略时,需要有针对性的干预来加强压力管理,特别是对低年级学生。结论:城市环境下护生的压力和应对是复杂的,数据超声可以提供更深入的了解。中华医学杂志,2015,32(2):391 - 396。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JOURNAL OF MEDICAL INVESTIGATION
JOURNAL OF MEDICAL INVESTIGATION MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
1.20
自引率
0.00%
发文量
55
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