RCT outcome data RESIST unguided

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Chronological data

Year of publication2025
Date of availability in catalog2025-10-24
Available from / since 2025-10-24

Language of the resource

German

Abstract

This study investigated the effectiveness of the digital resilience training RESIST offered in self-help (unguided) on perceived stress in a general working population as a means of universal prevention. In a two-arm randomized controlled trial (N=350), RESIST was compared to a waitlist control group. Data were collected at baseline, post-intervention, and at 3- and 6-month (intervention group only) follow-up. The primary outcome was perceived stress, measured with the Perceived Stress Scale-10. Secondary outcomes included self-perceived resilience, a set of resilience factors targeted within the intervention, and other mental and work-related health outcomes. The intervention group reported significantly less stress than controls post-intervention (d=-0.54) and at 3-month follow-up (d=-0.47). These improvements in the intervention group were maintained at 6-month follow-up. Favorable between-group differences also were detected for self-perceived resilience and the resilience factors. Effects on other mental and work-related outcomes were mixed. The positive effects of the intervention on stress and resilience were primarily mediated by changes in optimism and self-compassion. No evidence was found to suggest that self-efficacy and social support also acted as mediators. As conclusion, in a sample of employees experiencing heightened work-burden levels, RESIST was effective in reducing perceived stress, and increasing self-perceived resilience as well as the targeted resilience factors. Mediation analyses suggested that developing a positive future outlook and a self-compassionate attitude toward oneself may be key drivers to enhance resilience. Changing the quality of social relationships and strengthening the belief in one's abilities may require more time, the involvement of others, or personal support from a mental health professional, such as an e-coach, to ensure sufficient learning opportunities.

Resource type

Dataset

Kinds of Data

Survey Data

Methods

Computer-assisted questionnaire
Clinical studies

Thematic classification

Digital Health

Keywords

Resilienz; Training; Wirksamkeit; Digital; Programm; Internetbasiert; Arbeitnehmer; Stress; Prävention; Stressbewältigung; Selbstwahrnehmung; Arbeitsgesundheit; Mentale Gesundheit; Digitale Gesundheit; Resilience; Training; Efficiency; Digital; Programme; Internet-based; Employee; Stress; Prevention; Stress Management; Self-perception; Occupational Health; Mental Health; Digital Health