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Loneliness, Resilience, Mental Health, and Quality of Life in Old Age: A Structural Equation Model
Objectives: In the scientific literature on aging, a recent core issue has been the role of individuals' internal and external resources, which are considered intrinsically connected, in contributing synergistically to physical and psychological quality of life (QoL). The current study investig...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5694593/ https://www.ncbi.nlm.nih.gov/pubmed/29184526 http://dx.doi.org/10.3389/fpsyg.2017.02003 |
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author | Gerino, Eva Rollè, Luca Sechi, Cristina Brustia, Piera |
author_facet | Gerino, Eva Rollè, Luca Sechi, Cristina Brustia, Piera |
author_sort | Gerino, Eva |
collection | PubMed |
description | Objectives: In the scientific literature on aging, a recent core issue has been the role of individuals' internal and external resources, which are considered intrinsically connected, in contributing synergistically to physical and psychological quality of life (QoL). The current study investigates the way in which psychological factors—such as, loneliness, resilience, and mental states, in terms of depression and anxiety symptoms—affect the perceived QoL among elderly individuals. Method: Data from 290 elderly Italian participants were used to study the mediation effects of both mental health and resilience to elucidate the relationship between loneliness and psychophysical QoL. Results: The best model we obtained supports the mediation effect of both resilience and mental health between loneliness and mental and physical QoL. These results highlight that loneliness influences mental and physical QoL via two pathways, with the impact of loneliness mediated by mental health and resilience dimensions. Conclusions: The findings suggest the importance of the support that elderly people receive from social relationships. In terms of clinical interventions, the reduction of loneliness could be an important factor in primary prevention or the recovery process. A way to reduce levels of mental distress could be represented by the increasing of resilience and self-efficacy and reduction of loneliness dissatisfaction. A high degree of resiliency contributes to increasing perceived life quality at the physical and psychological levels, and at the same time, reducing anxiety and depressive symptoms. |
format | Online Article Text |
id | pubmed-5694593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56945932017-11-28 Loneliness, Resilience, Mental Health, and Quality of Life in Old Age: A Structural Equation Model Gerino, Eva Rollè, Luca Sechi, Cristina Brustia, Piera Front Psychol Psychology Objectives: In the scientific literature on aging, a recent core issue has been the role of individuals' internal and external resources, which are considered intrinsically connected, in contributing synergistically to physical and psychological quality of life (QoL). The current study investigates the way in which psychological factors—such as, loneliness, resilience, and mental states, in terms of depression and anxiety symptoms—affect the perceived QoL among elderly individuals. Method: Data from 290 elderly Italian participants were used to study the mediation effects of both mental health and resilience to elucidate the relationship between loneliness and psychophysical QoL. Results: The best model we obtained supports the mediation effect of both resilience and mental health between loneliness and mental and physical QoL. These results highlight that loneliness influences mental and physical QoL via two pathways, with the impact of loneliness mediated by mental health and resilience dimensions. Conclusions: The findings suggest the importance of the support that elderly people receive from social relationships. In terms of clinical interventions, the reduction of loneliness could be an important factor in primary prevention or the recovery process. A way to reduce levels of mental distress could be represented by the increasing of resilience and self-efficacy and reduction of loneliness dissatisfaction. A high degree of resiliency contributes to increasing perceived life quality at the physical and psychological levels, and at the same time, reducing anxiety and depressive symptoms. Frontiers Media S.A. 2017-11-14 /pmc/articles/PMC5694593/ /pubmed/29184526 http://dx.doi.org/10.3389/fpsyg.2017.02003 Text en Copyright © 2017 Gerino, Rollè, Sechi and Brustia. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Gerino, Eva Rollè, Luca Sechi, Cristina Brustia, Piera Loneliness, Resilience, Mental Health, and Quality of Life in Old Age: A Structural Equation Model |
title | Loneliness, Resilience, Mental Health, and Quality of Life in Old Age: A Structural Equation Model |
title_full | Loneliness, Resilience, Mental Health, and Quality of Life in Old Age: A Structural Equation Model |
title_fullStr | Loneliness, Resilience, Mental Health, and Quality of Life in Old Age: A Structural Equation Model |
title_full_unstemmed | Loneliness, Resilience, Mental Health, and Quality of Life in Old Age: A Structural Equation Model |
title_short | Loneliness, Resilience, Mental Health, and Quality of Life in Old Age: A Structural Equation Model |
title_sort | loneliness, resilience, mental health, and quality of life in old age: a structural equation model |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5694593/ https://www.ncbi.nlm.nih.gov/pubmed/29184526 http://dx.doi.org/10.3389/fpsyg.2017.02003 |
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