A generic solution for the operationalization and measurement of resilience and resilience processes in longitudinal observations: rationale and basic design of the MARP and LORA studies
| Autor: | Harald Binder, Klaus Lieb, Oliver Tüscher, Michèle Wessa, K. F. Ahrens, A Sebastian, Ulrike Basten, Michael M. Plichta, Köber G, Kenneth S. L. Yuen, Raffael Kalisch, Horstmann R, N. Goldbach, Andreas Reif, Christian J. Fiebach, Miriam Kampa, Anita Schick, Engen H, Bianca Kollmann, Andrea Chmitorz |
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| Rok vydání: | 2020 |
| Předmět: |
bepress|Social and Behavioral Sciences|Psychology
Process management Operationalization 030227 psychiatry 03 medical and health sciences PsyArXiv|Social and Behavioral Sciences 0302 clinical medicine PsyArXiv|Psychiatry PsyArXiv|Social and Behavioral Sciences|Psychology other bepress|Social and Behavioral Sciences bepress|Medicine and Health Sciences|Medical Specialties|Psychiatry Resilience (network) Psychology 030217 neurology & neurosurgery |
| Zdroj: | PsyArXiv Preprints |
| DOI: | 10.31234/osf.io/jg238 |
| Popis: | Resilience has been defined as the maintenance or quick recovery of mental health during and after times of adversity. Such good longer-term mental health outcomes despite adversity presumably result from complex and dynamic processes of adaptation to stressor exposure (‘resilience processes’), which in many cases include changes in individual properties. Measuring resilience and identifying resilience processes in observational studies requires longitudinal designs involving repeated and frequent monitoring of mental health, stressor exposure, and potential adaptations. We here present a generic design solution that is currently employed in two cohort studies, the Mainz Resilience Project (MARP) and the Longitudinal Resilience Assessment (LORA). Both projects focus on resilience to everyday life stressors (i.e., microstressors), but we argue that the design scheme is also suitable for studying resilience to macrostressors, or trauma, and can solve some of the pertinent problems of trauma resilience research. We quantify resilience by indexing the reactivity of individuals’ mental health to stressors during a time interval of several months in a ‘stressor reactivity’ (SR) score, derived using a previously introduced residualization approach. SR scores are regularly re-calculated in sliding time windows, to thus build SR time courses that reflect intra-individual temporal variability in resilience. By linking these time courses to repeated measures of (temporally varying) individual properties, resilience processes can be identified. We finish by a discussion of limitations of our approach and potential future developments. |
| Databáze: | OpenAIRE |
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