Key result
Four-week mobile heart rate variability biofeedback resilience training did not significantly reduce personal burnout compared to a waitlist control among employees (adjusted mean 39.19 vs 44.10, p=0.77).
Why the study?
Little is known about whether the type of mobile heart rate variability biofeedback training instruction (digital or live) impacts workplace stress and resilience training outcomes.
Does four-week workplace resilience training with mobile HRV-BfB reduce burnout and stress symptoms in employees?
Does four-week workplace resilience training with mobile HRV-BfB reduce burnout and stress symptoms in employees?
Standardized Mean Difference: 0.39
Absolute Event Rate: 39.19% vs 44.1%
p-value: p=0.77
Four-week mobile HRV-BfB resilience training reduced stress and burnout symptoms in employees, with no significant differences in efficacy between digital or live instruction formats.
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.
No takes yet. Share an insight, caveat, or question.
Vagedes et al. (2024) studied Work-related stress (n=73). Mobile Heart Rate Variability Biofeedback (HRV-BfB) vs. Waitlist control was evaluated on COPSOQ personal burnout at T1 (post-intervention) (Cohen's d 0.39, p=0.77). Four-week mobile heart rate variability biofeedback resilience training did not significantly reduce personal burnout compared to a waitlist control among employees (adjusted mean 39.19 vs 44.10, p=0.77).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: