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Trajectories of resilience among widows: a latent transition model

OBJECTIVES: In 2015 we identified three profiles of adaptation following spousal bereavement: Vulnerables; Copers and Resilients (Spahni, Morselli, Perrig-Chiello, & Bennett, 2015). However, adaptation to spousal bereavement is a dynamic process. Thus, we examine the trajectories of the same par...

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Autores principales: Bennett, Kate Mary, Morselli, Davide, Spahni, Stefanie, Perrig-Chiello, Pasqualina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Routledge 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842714/
https://www.ncbi.nlm.nih.gov/pubmed/31397178
http://dx.doi.org/10.1080/13607863.2019.1647129
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author Bennett, Kate Mary
Morselli, Davide
Spahni, Stefanie
Perrig-Chiello, Pasqualina
author_facet Bennett, Kate Mary
Morselli, Davide
Spahni, Stefanie
Perrig-Chiello, Pasqualina
author_sort Bennett, Kate Mary
collection PubMed
description OBJECTIVES: In 2015 we identified three profiles of adaptation following spousal bereavement: Vulnerables; Copers and Resilients (Spahni, Morselli, Perrig-Chiello, & Bennett, 2015). However, adaptation to spousal bereavement is a dynamic process. Thus, we examine the trajectories of the same participants longitudinally over two years. We identify the stability and change in profiles of adaptation to widowhood; probability of stability and change; factors that influence trajectories in profile membership. METHODS: Data stem from a longitudinal questionnaire study of 309 older widowed people. The questionnaire included five measures of well-being, serving as the dependent variables of this analysis, and measures of personal resources and contextual factors, including social support, marital happiness, psychological resilience, and demography. Data was analysed using latent transition analysis of the variables loneliness, hopelessness, depressive symptoms, life satisfaction, and subjective health. RESULTS: The analysis replicated the three Wave 1 profiles as the best theoretical fit: Vulnerables; Copers; and Resilients. Stability was most common, but some participants moved to more or less adaptive profiles, the former being more frequent. Younger age, longer time since widowhood, new life perspectives facilitated adaptation. Those transitioning to less adaptive profiles were more likely to be women and older. DISCUSSION: The path to adaptation was not linear. Many of the explanatory variables contributed both to positive and negative adaptation. These include previous caring experience, education, psychological resilience and personal strength. This suggests these explanatory variables do not act in isolation but are likely to interact with each other, and with other, yet not measured, factors.
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spelling pubmed-88427142022-02-15 Trajectories of resilience among widows: a latent transition model Bennett, Kate Mary Morselli, Davide Spahni, Stefanie Perrig-Chiello, Pasqualina Aging Ment Health Aspects of Wellbeing in Ageing OBJECTIVES: In 2015 we identified three profiles of adaptation following spousal bereavement: Vulnerables; Copers and Resilients (Spahni, Morselli, Perrig-Chiello, & Bennett, 2015). However, adaptation to spousal bereavement is a dynamic process. Thus, we examine the trajectories of the same participants longitudinally over two years. We identify the stability and change in profiles of adaptation to widowhood; probability of stability and change; factors that influence trajectories in profile membership. METHODS: Data stem from a longitudinal questionnaire study of 309 older widowed people. The questionnaire included five measures of well-being, serving as the dependent variables of this analysis, and measures of personal resources and contextual factors, including social support, marital happiness, psychological resilience, and demography. Data was analysed using latent transition analysis of the variables loneliness, hopelessness, depressive symptoms, life satisfaction, and subjective health. RESULTS: The analysis replicated the three Wave 1 profiles as the best theoretical fit: Vulnerables; Copers; and Resilients. Stability was most common, but some participants moved to more or less adaptive profiles, the former being more frequent. Younger age, longer time since widowhood, new life perspectives facilitated adaptation. Those transitioning to less adaptive profiles were more likely to be women and older. DISCUSSION: The path to adaptation was not linear. Many of the explanatory variables contributed both to positive and negative adaptation. These include previous caring experience, education, psychological resilience and personal strength. This suggests these explanatory variables do not act in isolation but are likely to interact with each other, and with other, yet not measured, factors. Routledge 2019-08-09 /pmc/articles/PMC8842714/ /pubmed/31397178 http://dx.doi.org/10.1080/13607863.2019.1647129 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Aspects of Wellbeing in Ageing
Bennett, Kate Mary
Morselli, Davide
Spahni, Stefanie
Perrig-Chiello, Pasqualina
Trajectories of resilience among widows: a latent transition model
title Trajectories of resilience among widows: a latent transition model
title_full Trajectories of resilience among widows: a latent transition model
title_fullStr Trajectories of resilience among widows: a latent transition model
title_full_unstemmed Trajectories of resilience among widows: a latent transition model
title_short Trajectories of resilience among widows: a latent transition model
title_sort trajectories of resilience among widows: a latent transition model
topic Aspects of Wellbeing in Ageing
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842714/
https://www.ncbi.nlm.nih.gov/pubmed/31397178
http://dx.doi.org/10.1080/13607863.2019.1647129
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