DYNAMORE: Dynamic modelling and resillence
To develop an in silico model of stress resilience, the study monitors healthy at-risk individuals (18+ years old) during stressful life phases, such as transition into adulthood or higher education, training-to-street transition (police officers), or abruptly changed life situations (accident victims in recovery). Multiple longitudinal studies collect psychological, behavioural, neural, and physiological markers, and apply advanced mathematical modelling to identify key risk indicators and resilience factors. The ultimate goal is a prognostic tool for people to monitor their mental stability, and to intervene effectively before the personal „tipping point“.
The DynaMORE Corona pandemic-related psychological resilience study aims to find out how people adapt to adverse life circumstances and stress, and which factors protect them from developing stress-related mental disorders. This differs from person to person and from time to time. The Corona pandemic is affecting the lives of people all around the world and offers the opportunity to investigate, which strategies are helpful in overcoming such big challenges.
This study utilizes two surveys:
(1) DynaCORE-C: A 127 item cross-sectional survey.
(2) DynaCORE-L: A longitudinal survey consisting of a baseline (T0) questionnaire assessing both trait-like (time-invariant) or state-like items (time-variant), and five weekly follow-up (FU) questionnaires which are a shortened version of the T0-questionnaire containing only time-variant state-like items.
The cross-sectional survey “DynaCORE-C” has been annotated.