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健康、压力与技术:融合技术接受模型与健康信念模型以进行基于智能手机的压力干预

Health, Stress and Technologies: Integrating Technology Acceptance and Health Belief Models for Smartphone-Based Stress Intervention.

作者信息

Paganin Giulia, Margheritti Simona, Farhane-Medina Naima Z, Simbula Silvia, Mazzetti Greta

机构信息

Department of Educational Science, University of Bologna, 40126 Bologna, Italy.

Department of Psychology, University of Milano-Bicocca, 20126 Milano, Italy.

出版信息

Healthcare (Basel). 2023 Nov 23;11(23):3030. doi: 10.3390/healthcare11233030.

DOI:10.3390/healthcare11233030
PMID:38063598
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10705996/
Abstract

Work-related stress significantly jeopardizes employees' physical and mental health due to the considerable time they spend at work. Smartphone-based interventions provide a promising solution, eliminating traditional face-to-face interventions' barriers. However, the elements that influence workers' intentions to use this still remain unexplored. This study explores the link between health belief model (HBM) and technology acceptance model (TAM) factors. In this study, 336 Italian workers (64% female) answered an online questionnaire. We employed a structural equation model (SEM) to analyze the data. The results unveiled an indirect relationship: individuals perceiving health risks were more inclined to use stress-management apps, mediated by perceived utility (PU). This study underscores the significant potential of integrating the HBM with the TAM in predicting users' preparedness for smartphone-based health interventions. These findings not only hold substantial value but also illuminate a path forward for professionals and organizations, offering insights to tailor and optimize smartphone tools for stress management and the promotion of workplace well-being. Ultimately, this research paves the way for the cultivation of healthier work environments, marking a noteworthy contribution to the field.

摘要

由于员工在工作上花费大量时间,工作压力会严重损害他们的身心健康。基于智能手机的干预措施提供了一个很有前景的解决方案,消除了传统面对面干预措施的障碍。然而,影响员工使用智能手机干预措施意愿的因素仍未得到探索。本研究探讨了健康信念模型(HBM)和技术接受模型(TAM)因素之间的联系。在本研究中,336名意大利员工(64%为女性)回答了一份在线问卷。我们采用结构方程模型(SEM)对数据进行分析。结果揭示了一种间接关系:感知到健康风险的个体更倾向于使用压力管理应用程序,这种关系由感知有用性(PU)介导。本研究强调了将健康信念模型与技术接受模型相结合在预测用户对基于智能手机的健康干预措施的准备程度方面的巨大潜力。这些发现不仅具有重大价值,还为专业人士和组织指明了前进的道路,提供了相关见解,以便定制和优化用于压力管理和促进工作场所福祉的智能手机工具。最终,本研究为营造更健康的工作环境铺平了道路,对该领域做出了值得注意的贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd1/10705996/975de0baeb3c/healthcare-11-03030-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd1/10705996/76cb4f723121/healthcare-11-03030-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd1/10705996/975de0baeb3c/healthcare-11-03030-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd1/10705996/76cb4f723121/healthcare-11-03030-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd1/10705996/975de0baeb3c/healthcare-11-03030-g002.jpg

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Workplace Health Saf. 2023 Oct;71(10):452-463. doi: 10.1177/21650799231170872. Epub 2023 May 30.
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Teaching after the pandemic: The role of technostress and organizational support on intentions to adopt remote teaching technologies.疫情后的教学:技术压力和组织支持对采用远程教学技术的意愿的影响。
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Accentuating technology acceptance among academicians: A conservation of resource perspective in the Malaysian context.提升院士对技术的接受度:马来西亚背景下的资源保存视角
Educ Inf Technol (Dordr). 2023;28(3):2529-2545. doi: 10.1007/s10639-022-11288-x. Epub 2022 Aug 22.
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