Mobile Heart Rate Variability Biofeedback for Work-Related Stress in Employees and the Influence of Instruction Format (Digital or Live) on Training Outcome: A Non-Randomized Controlled Trial.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Jan Vagedes, Henrik Szőke, Mohammad Oli Al Islam, Mohsen Sobh, Silja Kuderer, Inna Khazan, Katrin Vagedes
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引用次数: 0

Abstract

Work-related stress is a major health issue in most industrialized countries. Heart rate variability biofeedback (HRV-BfB) can promote resilience and stress coping capacity. Mobile HRV-BfB could contribute to stress prevention in the workplace. Little is known about whether the type of training, with digital or live instruction, has an impact on the training outcome. This study analyzes the psychophysiological effects of four-week workplace resilience training with mobile HRV-BfB and the influence of instruction format (digital or live) on training success. This was a prospective, three-arm, non-randomized controlled trial with parallel group design. 73 employees of a bearing and seal manufacturer (58.9% male, 86.3% full-time employment, 67.1% office workers) attended resilience training with HRV-BfB, live (n = 24) or digital (n = 19) format, or served as waitlist controls (n = 30). HRV-BfB training spanned four weeks. Participants applied resilience techniques to increase HRV using visual biofeedback. Data were collected at baseline (T0), post-intervention (T1), and another four weeks later (T2). Primary outcome measure was the Burnout scale of the Copenhagen Psychosocial Questionnaire (COPSOQ) at T1. Secondary outcome measures included further COPSOQ scales, self-reported sleep quality (Pittsburgh Sleep Quality Index, PSQI), and HRV parameters. Burnout parameters decreased significantly in HRV-BfB and waitlist. The decrease (T0-T1 and T0-T2) showed higher effect sizes in HRV-BfB (Cohen's d: 0.63; 0.69) than in waitlist (d: 0.27; 0.36). Sleep quality improved in HRV-BfB with small effect sizes (no change for waitlist). SDNN (standard deviation of beat-to-beat intervals) increased in HRV-BfB between T0 and T1 (d: 0.23;). In subgroup analysis, digital reached higher effect sizes for improvement in burnout (d: 0.87; 0.92) and sleep quality (d: 0.59; 0.64) than live learning (burnout: d: 0.43; 0.51; sleep quality: d: 0.28; 0.22). HRV-analysis revealed no differences between subgroups. Four-week mobile HRV-BfB resilience training reduced stress and burnout symptoms in employees. No significant differences were found between HRV-BfB digital or live. Hence, companies should choose the approach that fits their company profile or, if possible, offer both formats to accommodate the different needs of employees. However, findings were nonhomogeneous and should be verified by further studies.Trial Registration: ClinicalTrials.gov , NCT04897165, 05/18/2021, retrospectively registered.

移动心率变异生物反馈治疗员工工作压力以及教学形式(数字或现场)对培训结果的影响:非随机对照试验。
在大多数工业化国家,与工作有关的压力是一个主要的健康问题。心率变异生物反馈(HRV-BfB)可以促进复原力和压力应对能力。移动心率变异生物反馈可有助于在工作场所预防压力。至于培训类型(数字教学还是现场教学)是否会对培训结果产生影响,目前所知甚少。本研究分析了使用移动 HRV-BfB 进行为期四周的职场抗压能力培训所产生的心理生理效应,以及教学形式(数字教学或现场教学)对培训成功率的影响。这是一项采用平行分组设计的前瞻性三臂非随机对照试验。一家轴承和密封件制造商的 73 名员工(58.9% 为男性,86.3% 为全职员工,67.1% 为上班族)参加了现场(24 人)或数字(19 人)形式的 HRV-BfB 抗复原力培训,或作为候补对照组(30 人)。HRV-BfB培训为期四周。参与者采用复原技术,通过视觉生物反馈来提高心率变异。在基线(T0)、干预后(T1)和四周后(T2)收集数据。主要结果测量指标是 T1 阶段的哥本哈根社会心理问卷(COPSOQ)中的职业倦怠量表。次要结果测量包括其他 COPSOQ 量表、自我报告的睡眠质量(匹兹堡睡眠质量指数,PSQI)和心率变异参数。HRV-BfB和等待者的职业倦怠参数明显下降。与等待表(d:0.27;0.36)相比,HRV-BfB(Cohen's d:0.63;0.69)的下降幅度(T0-T1 和 T0-T2)显示出更高的效应大小。HRV-BfB 的睡眠质量有所改善,但影响较小(等待者无变化)。在 T0 和 T1 之间,HRV-BfB 的 SDNN(节拍间期标准偏差)有所增加(d:0.23;)。在分组分析中,与现场学习(倦怠:d:0.43;0.51;睡眠质量:d:0.28;0.22)相比,数字学习在改善倦怠(d:0.87;0.92)和睡眠质量(d:0.59;0.64)方面达到了更高的效应量。心率变异分析表明,分组之间没有差异。为期四周的移动心率变异-BfB复原力培训减轻了员工的压力和职业倦怠症状。HRV-BfB数字化和现场之间没有发现明显差异。因此,企业应选择适合其公司情况的方法,或者在可能的情况下,提供两种形式的培训,以满足员工的不同需求。不过,研究结果并不一致,应通过进一步研究加以验证:试验注册:ClinicalTrials.gov , NCT04897165, 05/18/2021,回顾性注册。
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
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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