Resilience, i.e. a person's ability to adapt to stress, has become one of the most important issues in healthcare. The degree of resilience determines the extent to which a person is able to maintain health during or after severe stress or to recover quickly. Identifying the determinants of resilience is therefore one of the most active areas of health research.
In recent years, research has focused on the development and evaluation of interventions to promote resilience. The results of intervention research on resilience have been summarized in numerous systematic reviews and meta-analyses over the past 15 years. It is now almost impossible to gain an overview of their results. With the help of an umbrella review, we aim to systematically and quantitatively summarize the currently available evidence on the effectiveness of interventions to promote resilience in stress-related mental health problems and to identify the effective components of such interventions in order to develop personalized interventions tailored to the conditions, needs, resources and abilities of the target individuals or populations.
By searching relevant electronic literature databases, all systematic reviews and meta-analyses published by the end of 2024 are identified and selected based on predefined inclusion criteria. The selection process is documented in a flowchart according to the PRISMA criteria. The reasons for the exclusion of reviews and meta-analyses as well as the characteristics of the included systematic reviews and meta-analyses are listed. The included quantitative reviews are assessed for methodological quality and certainty of evidence, and their weighted pooled effect estimates are aggregated for different interventions, target groups and outcome variables. The integrated effect sizes are tested for statistical precision, significance and homogeneity. If possible, additional subgroup analyses (gender, age, psychopathology status, type of comparison condition, quality of evidence) and regression analyses of the relationships between individual therapeutic components of the interventions or trainings and the therapy outcome are performed. To illustrate the integrated weighted effect sizes and the respective confidence intervals, forest plots are used to display the individual and overall effects as well as the results of the subgroup analyses. Possible publication bias is analyzed using funnel plots.