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Reflections on psychological resilience: a comparison of three conceptually different operationalizations in predicting mental health

Background: Psychological resilience refers to the ability to maintain mental health or recover quickly after stress. Despite the popularity of resilience research, there is no consensus understanding or operationalization of resilience. Objective: We plan to compare three indicators of resilience t...

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Autores principales: Kuranova, Anna, Booij, Sanne H., Oldehinkel, Albertine J., Wichers, Marieke, Jeronimus, Bertus, Wigman, Johanna T.W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8475143/
https://www.ncbi.nlm.nih.gov/pubmed/34589174
http://dx.doi.org/10.1080/20008198.2021.1956802
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author Kuranova, Anna
Booij, Sanne H.
Oldehinkel, Albertine J.
Wichers, Marieke
Jeronimus, Bertus
Wigman, Johanna T.W.
author_facet Kuranova, Anna
Booij, Sanne H.
Oldehinkel, Albertine J.
Wichers, Marieke
Jeronimus, Bertus
Wigman, Johanna T.W.
author_sort Kuranova, Anna
collection PubMed
description Background: Psychological resilience refers to the ability to maintain mental health or recover quickly after stress. Despite the popularity of resilience research, there is no consensus understanding or operationalization of resilience. Objective: We plan to compare three indicators of resilience that each involve a different operationalization of the construct: a) General resilience or one’s self-reported general ability to overcome adversities; b) Daily resilience as momentarily experienced ability to overcome adversities; and c) Recovery speed evident in the pattern of negative affect recovery after small adversities in daily life. These three indicators are constructed per person to investigate their cross-sectional associations, stability over time, and predictive validity regarding mental health. Methods: Data will be derived from the prospective MIRORR study that comprises 96 individuals at different levels of psychosis risk and contains both single-time assessed questionnaires and 90-days intensive longitudinal data collection at baseline (T0) and three yearly follow-up waves (T1–T3). General resilience is assessed using the Brief Resilience Scale (BRS) at baseline. Daily resilience is measured by averaging daily resilience scores across 90 days. For recovery speed, vector-autoregressive models with consecutive impulse response simulations will be applied to diary data on negative affect and daily stressors to calculate pattern of affect recovery. These indicators will be correlated concurrently (at T0) to assess their overlap and prospectively (between T0 and T1) to estimate their stability. Their predictive potential will be assessed by regression analysis with mental health (SCL-90) as an outcome, resilience indicators as predictors, and stressful life events as a moderator. Conclusion: The comparison of different conceptualizations of psychological resilience can increase our understanding of its multifaceted nature and, in future, help improve diagnostic, prevention and intervention strategies aimed at increasing psychological resilience.
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spelling pubmed-84751432021-09-28 Reflections on psychological resilience: a comparison of three conceptually different operationalizations in predicting mental health Kuranova, Anna Booij, Sanne H. Oldehinkel, Albertine J. Wichers, Marieke Jeronimus, Bertus Wigman, Johanna T.W. Eur J Psychotraumatol Registered Report Background: Psychological resilience refers to the ability to maintain mental health or recover quickly after stress. Despite the popularity of resilience research, there is no consensus understanding or operationalization of resilience. Objective: We plan to compare three indicators of resilience that each involve a different operationalization of the construct: a) General resilience or one’s self-reported general ability to overcome adversities; b) Daily resilience as momentarily experienced ability to overcome adversities; and c) Recovery speed evident in the pattern of negative affect recovery after small adversities in daily life. These three indicators are constructed per person to investigate their cross-sectional associations, stability over time, and predictive validity regarding mental health. Methods: Data will be derived from the prospective MIRORR study that comprises 96 individuals at different levels of psychosis risk and contains both single-time assessed questionnaires and 90-days intensive longitudinal data collection at baseline (T0) and three yearly follow-up waves (T1–T3). General resilience is assessed using the Brief Resilience Scale (BRS) at baseline. Daily resilience is measured by averaging daily resilience scores across 90 days. For recovery speed, vector-autoregressive models with consecutive impulse response simulations will be applied to diary data on negative affect and daily stressors to calculate pattern of affect recovery. These indicators will be correlated concurrently (at T0) to assess their overlap and prospectively (between T0 and T1) to estimate their stability. Their predictive potential will be assessed by regression analysis with mental health (SCL-90) as an outcome, resilience indicators as predictors, and stressful life events as a moderator. Conclusion: The comparison of different conceptualizations of psychological resilience can increase our understanding of its multifaceted nature and, in future, help improve diagnostic, prevention and intervention strategies aimed at increasing psychological resilience. Taylor & Francis 2021-09-24 /pmc/articles/PMC8475143/ /pubmed/34589174 http://dx.doi.org/10.1080/20008198.2021.1956802 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Registered Report
Kuranova, Anna
Booij, Sanne H.
Oldehinkel, Albertine J.
Wichers, Marieke
Jeronimus, Bertus
Wigman, Johanna T.W.
Reflections on psychological resilience: a comparison of three conceptually different operationalizations in predicting mental health
title Reflections on psychological resilience: a comparison of three conceptually different operationalizations in predicting mental health
title_full Reflections on psychological resilience: a comparison of three conceptually different operationalizations in predicting mental health
title_fullStr Reflections on psychological resilience: a comparison of three conceptually different operationalizations in predicting mental health
title_full_unstemmed Reflections on psychological resilience: a comparison of three conceptually different operationalizations in predicting mental health
title_short Reflections on psychological resilience: a comparison of three conceptually different operationalizations in predicting mental health
title_sort reflections on psychological resilience: a comparison of three conceptually different operationalizations in predicting mental health
topic Registered Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8475143/
https://www.ncbi.nlm.nih.gov/pubmed/34589174
http://dx.doi.org/10.1080/20008198.2021.1956802
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