日常生活中使用萨尔茨堡移动应力感应(SMSI)的数字应力感应:发展和动态评估研究。

IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Thomas Vikoler, Heike Ganesch, Jasmina Dubravac, Eva Traut-Mattausch
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引用次数: 0

摘要

背景:数字技术的使用使日常生活中的压力检测成为可能。然而,动态研究依赖于应激情境的自然发生,而大多数标准化应激诱导依赖于成本和劳动力昂贵的实验室实验,这些实验在不经常的适用性方面受到限制。目的:开发基于认知能力测试的萨尔茨堡移动应激诱导工具箱(SMSI),该工具箱包含6种不同的应激诱导范式(矩阵测试、立方体网络测试、算术测试、数列测试、拼字测试和词对测试)和1种控制范式(凯撒密码测试)。这7项测试旨在为研究人员提供一种开放获取、标准化的方法,以在门诊环境中反复诱导压力。方法:我们通过众包平台从当地一所大学招募大学生进行预登记的流动研究。在完成一项基于网络的调查后,参与者使用智能手机上的m-path应用程序在4天内按随机顺序进行7次SMSI测试。通过对比应激诱导测试和对照测试,我们使用国际积极和消极情绪表短表,研究了从基线(t0)到每次测试之间(t1)和之后(t2)的瞬间消极和积极情绪的变化。结果:共有100名参与者(60/100名女性,平均年龄24.43岁,SD 6.21岁,69/100本地样本,31/100众包样本)完成了所有7项SMSI测试。从t0到t1,在所有6个应激诱导测试期间,与对照测试相比,参与者的负性情绪显著增加(Psp²s=0.10至0.30)。事后两两比较显示,在所有应激诱导试验中,从t0到t1的负性情绪显著增加(Psp²s=0.14至0.33)。事后两两比较显示,从0到t1,对照试验中的积极情绪显著增加(P.99)。结论:SMSI提出了新颖且易于实施的标准化压力诱导程序,可在门诊研究中反复诱导压力。我们讨论了积极应激诱导的新机会,并概述了结合生理应激评估和动态方法的后续验证研究。说明了SMSI的其他语言版本的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Stress Induction in Daily Life Using the Salzburg Mobile Stress Induction (SMSI): Development and Ambulatory Evaluation Study.

Background: The use of digital technology enabled examining stress in everyday life. However, ambulatory research depends on the natural occurrence of stressful situations while most standardized stress inductions rely on cost- and labor-expensive laboratory experiments, which are limited in their infrequent applicability.

Objective: We developed the Salzburg Mobile Stress Induction (SMSI), a newly conceptualized toolbox including 6 different stress-inducing paradigms (Matrices test, Cube Net test, Arithmetic test, Number Series test, Word Scramble test, and Word Pair test) and 1 control paradigm (Caesar Cipher test), which are based on cognitive performance tests. These 7 tests aim to provide researchers with an open-access, standardized method to repeatedly induce stress in an ambulatory setting.

Methods: We recruited university students from a local university and through a crowdsourcing platform for a preregistered ambulatory study. After completing a web-based survey, participants used the m-path app on their smartphones to conduct the 7 SMSI tests in a randomized order over 4 days. By comparing the stress-inducing tests with the control test, we investigated changes in momentary negative and positive affect from baseline (t0) to between (t1) and after (t2) each test using the International Positive and Negative Affect Schedule Short Form.

Results: A total of 100 participants (60/100 women; mean age 24.43, SD 6.21 years; 69/100 local sample; 31/100 crowdsourcing sample) completed all 7 SMSI tests. Participants' negative affect significantly increased during all 6 stress-inducing tests compared to the control test from t0 to t1 (Ps<.001) and from t0 to t2 (Ps<.001) with medium to large effect sizes (ηp²s=0.10 to 0.30). Post hoc pairwise comparisons showed significant increases of negative affect during all stress-inducing tests from t0 to t1 (Ps<.001) and from t0 to t2 (Ps<.001) and a slight increase in the control test from t0 to t2 (P=.006). Reported positive affect significantly differed between the stress-inducing tests and the control test from t0 to t1 (Ps<.001) and from t0 to t2 (Ps<.001) with medium to large effect sizes (ηp²s=0.14 to 0.33). Post hoc pairwise comparisons revealed a significant increase in positive affect in the control test from t0 to t1 (P<.001) and from t0 to t2 (P<.001) and varying significant decreases to nonsignificant changes in the stress-inducing tests over time (Ps>.99 to <.001).

Conclusions: The SMSI presents novel and easy-to-implement standardized stress induction procedures to repeatedly induce stress in ambulatory research. We discussed new opportunities for positive eustress inductions and outlined subsequent validation studies combining physiological stress assessment and ambulatory methods. The development of additional language versions of the SMSI is illustrated.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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