Periodic Reporting for period 4 - DynaMORE (Dynamic MOdelling of REsilience)
Periodo di rendicontazione: 2022-04-01 al 2023-09-30
DynaMORE pursues this goal by advancing the mathematical modelling of mental health, helping us also to deepen our scientific understanding; by generating and validating the first in-silico model of stress resilience; and by using it as a basis for developing an entirely new mobile Health (mHealth) product for the primary prevention of stress disorders, with great potential for commercial exploitation. We anticipate that our solutions will be pandemic-proof and facilitate coping with future pandemics for individuals and for societies at large.
To further test this and other identified resilience factors and to establish a formal mathematical model, WP 4 has 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 an earlier study (Kampa et al., www.biorxiv.org/content/10.1101/470435v1 2018; Kampa et al., https://www.sciencedirect.com/science/article/pii/S1053811919308146?via%3Dihub, 2020), high-frequent online mental health, stressor and resilience factor monitoring (Kalisch et al., https://www.frontiersin.org/articles/10.3389/fpsyg.2021.710493/full 2021), as well as ambulatory methods, using ecological momentary assessment of stressors, emotional states, and physiological reactions, as developed by WPs 5 and 6. While data analysis is ongoing, WP 4 is already conducting a replication study (Bögemann et al., file:///C:/Users/raffa/Downloads/s40359-023-01249-5.pdf 2023) that has the additional goal of evaluating two smartphone-app based ecological momentary interventions (EMIs) that have been developed by WPs 5 to 7 to boost specific resilience factors. These are positive cognitive reappraisal (and thereby positive appraisal style: ReApp app: https://osf.io/preprints/psyarxiv/u4f5e/) 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 current 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 will 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 is also a project that is dedicated to the training and mentoring of its junior staff, for who a program with a retreat, workshops, international symposia as well as a mentoring structure were designed by WPs 8 and 9. WP 8 developed an open-science policy. WP 9 made important efforts in the dissemination and communication both to the scientific community and to the lay public and is currently actively exploring the project’s exploitation and valorisation potential.