DynaMORE WPs 1-3 developed a basic theoretical approach to the mathematical modelling of resilience and techniques to analyse real-world data from longitudinal resilience studies in individuals exposed to stressful life situations. These techniques include improved ways of quantifying resilience and of predicting such good mental health outcomes (Kalisch et al., https://www.frontiersin.org/articles/10.3389/fpsyg.2021.710493/full 2021; Köber et al., https://www.nature.com/articles/s41598-022-11650-6.pdf 2021; Köber et al., https://onlinelibrary.wiley.com/doi/epdf/10.1002/bimj.202100381 2023). WP3 developed a new measurement tools for resilience factors (Petri-Romao et al., https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0295562 2024). DynaMORE WP3 applied these techniques to existing data sets, while WP4 conducted several studies during the COVID-19 pandemic (e.g. Veer et al.,
https://www.nature.com/articles/s41398-020-01150-4(s’ouvre dans une nouvelle fenêtre) 2021; Riepenhausen et al., https://www.cambridge.org/core/journals/psychological-medicine/article/coping-with-covid-risk-and-resilience-factors-for-mental-health-in-a-german-representative-panel-study/47B4BDFEB41E566F9FBA1B364F396F51 2022; Bögemann et al., https://mental.jmir.org/2023/1/e46518 2023; Zerban et al., https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2023.1272199/full 2023: van der Heide et al., https://www.nature.com/articles/s41531-024-00692-4 2024), in which these techniques are used. Results point towards a key role for positive appraisal style, originally posited in 2015 by DynaMORE researchers as a major resilience mechanism (Kalisch et al., Behavioral and Brain Science 2015). Several reviews and meta-analyses have confirmed our conclusions (Riepenhausen et al., https://journals.sagepub.com/doi/full/10.1177/17540739221114642 2022; Schäfer et al.,
https://www.cell.com/action/showPdf?pii=S1364-6613%2822%2900238-8(s’ouvre dans une nouvelle fenêtre), 2022; Morello et al., https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2023.1253390/full 2023; Kalisch et al., https://journals.physiology.org/doi/epdf/10.1152/physrev.00042.2023 2024).
To further test this and other identified resilience factors and to establish a formal mathematical model, WP4 conducted a longitudinal multi-center study at sites in Germany (Mainz, Berlin), the Netherlands (Nijmegen), Poland (Warsaw), and Israel (Tel Aviv) (Wackerhagen et al., https://www.researchprotocols.org/2023/1/e39817/PDF 2022). The study used extensive baseline subject characterization, including with a neuroimaging battery specifically adapted for this project from experiences in earlier studies; high-frequent longitudinal online monitoring of mental health, stressor exposure, and resilience factors; as well as ambulatory methods, using smartphone-based ecological momentary assessment of stressors, emotional states, and physiological reactions, as developed by WP5+6. Subsequently, WP 4 has conducted a replication study at the same sites (Bögemann et al., https://bmcpsychology.biomedcentral.com/articles/10.1186/s40359-023-01249-5 2023) that had the additional goal of evaluating two smartphone-app based ecological momentary interventions (EMIs) that have been developed by WP5+7 to boost specific resilience factors. These are positive cognitive reappraisal (and thereby positive appraisal style: ReApp app:
https://osf.io/preprints/psyarxiv/u4f5e(s’ouvre dans une nouvelle fenêtre)) and positive future anticipation (Imager app: Marciniak et al., https://iaap-journals.onlinelibrary.wiley.com/doi/epdf/10.1111/aphw.12505 2022). In particular, the study aims at establishing personal characteristics that predict whether a given EMI is likely to be effective in an individual. The information will be used to design randomised controlled trials (RCTs) in follow-up projects in which the effectiveness of the EMIs for their specific target group will be tested.
The study will further allow us to get a first glimpse into whether the apps indeed boost the intended resilience factors and whether this has causal effects on resilience outcomes, which would further support the importance of these factors. Both apps include an element of just-in-time adaptive intervention (JITAI), developed by WPs 5 and 6, meaning that the apps in the later phase of training propose cognitive exercises only at time points in a day when participants are in need. JITAIs use data from self-report of affect via smartphones and from a wristband-wearable that records physiological changes, which are input into an automated decision algorithm.
DynaMORE encanced training and mentoring of junior staff, for who a program with a retreat, workshops, international symposia as well as a mentoring structure were designed.
