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Modelling the complexity of pandemic-related lifestyle quality change and mental health: an analysis of a nationally representative UK general population sample
PURPOSE: The COVID-19 pandemic has affected the way many individuals go about their daily lives. This study attempted to model the complexity of change in lifestyle quality as a result of the COVID-19 pandemic and its context within the UK adult population. METHODS: Data from the COVID-19 Psychologi...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674524/ https://www.ncbi.nlm.nih.gov/pubmed/34913985 http://dx.doi.org/10.1007/s00127-021-02210-w |
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author | Butter, Sarah Murphy, Jamie Hyland, Philip McBride, Orla Shevlin, Mark Hartman, Todd K. Bennett, Kate Gibson-Miller, Jilly Levita, Liat Martinez, Anton P. Mason, Liam McKay, Ryan Stocks, Thomas V. A. Vallières, Frédérique Bentall, Richard P. |
author_facet | Butter, Sarah Murphy, Jamie Hyland, Philip McBride, Orla Shevlin, Mark Hartman, Todd K. Bennett, Kate Gibson-Miller, Jilly Levita, Liat Martinez, Anton P. Mason, Liam McKay, Ryan Stocks, Thomas V. A. Vallières, Frédérique Bentall, Richard P. |
author_sort | Butter, Sarah |
collection | PubMed |
description | PURPOSE: The COVID-19 pandemic has affected the way many individuals go about their daily lives. This study attempted to model the complexity of change in lifestyle quality as a result of the COVID-19 pandemic and its context within the UK adult population. METHODS: Data from the COVID-19 Psychological Research Consortium Study (Wave 3, July 2020; N = 1166) were utilised. A measure of COVID-19-related lifestyle change captured how individuals’ lifestyle quality had been altered as a consequence of the pandemic. Exploratory factor analysis and latent profile analysis were used to identify distinct lifestyle quality change subgroups, while multinomial logistic regression analysis was employed to describe class membership. RESULTS: Five lifestyle dimensions, reflecting partner relationships, health, family and friend relations, personal and social activities, and work life, were identified by the EFA, and seven classes characterised by distinct patterns of change across these dimensions emerged from the LPA: (1) better overall (3.3%), (2) worse except partner relations (6.0%), (3) worse overall (2.5%), (4) better relationships (9.5%), (5) better except partner relations (4.3%), (6) no different (67.9%), and (7) worse partner relations only (6.5%). Predictor variables differentiated membership of classes. Notably, classes 3 and 7 were associated with poorer mental health (COVID-19 related PTSD and suicidal ideation). CONCLUSIONS: Four months into the pandemic, most individuals’ lifestyle quality remained largely unaffected by the crisis. Concerningly however, a substantial minority (15%) experienced worsened lifestyles compared to before the pandemic. In particular, a pronounced deterioration in partner relations seemed to constitute the more severe pandemic-related lifestyle change. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00127-021-02210-w. |
format | Online Article Text |
id | pubmed-8674524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-86745242021-12-16 Modelling the complexity of pandemic-related lifestyle quality change and mental health: an analysis of a nationally representative UK general population sample Butter, Sarah Murphy, Jamie Hyland, Philip McBride, Orla Shevlin, Mark Hartman, Todd K. Bennett, Kate Gibson-Miller, Jilly Levita, Liat Martinez, Anton P. Mason, Liam McKay, Ryan Stocks, Thomas V. A. Vallières, Frédérique Bentall, Richard P. Soc Psychiatry Psychiatr Epidemiol Original Paper PURPOSE: The COVID-19 pandemic has affected the way many individuals go about their daily lives. This study attempted to model the complexity of change in lifestyle quality as a result of the COVID-19 pandemic and its context within the UK adult population. METHODS: Data from the COVID-19 Psychological Research Consortium Study (Wave 3, July 2020; N = 1166) were utilised. A measure of COVID-19-related lifestyle change captured how individuals’ lifestyle quality had been altered as a consequence of the pandemic. Exploratory factor analysis and latent profile analysis were used to identify distinct lifestyle quality change subgroups, while multinomial logistic regression analysis was employed to describe class membership. RESULTS: Five lifestyle dimensions, reflecting partner relationships, health, family and friend relations, personal and social activities, and work life, were identified by the EFA, and seven classes characterised by distinct patterns of change across these dimensions emerged from the LPA: (1) better overall (3.3%), (2) worse except partner relations (6.0%), (3) worse overall (2.5%), (4) better relationships (9.5%), (5) better except partner relations (4.3%), (6) no different (67.9%), and (7) worse partner relations only (6.5%). Predictor variables differentiated membership of classes. Notably, classes 3 and 7 were associated with poorer mental health (COVID-19 related PTSD and suicidal ideation). CONCLUSIONS: Four months into the pandemic, most individuals’ lifestyle quality remained largely unaffected by the crisis. Concerningly however, a substantial minority (15%) experienced worsened lifestyles compared to before the pandemic. In particular, a pronounced deterioration in partner relations seemed to constitute the more severe pandemic-related lifestyle change. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00127-021-02210-w. Springer Berlin Heidelberg 2021-12-16 2022 /pmc/articles/PMC8674524/ /pubmed/34913985 http://dx.doi.org/10.1007/s00127-021-02210-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Butter, Sarah Murphy, Jamie Hyland, Philip McBride, Orla Shevlin, Mark Hartman, Todd K. Bennett, Kate Gibson-Miller, Jilly Levita, Liat Martinez, Anton P. Mason, Liam McKay, Ryan Stocks, Thomas V. A. Vallières, Frédérique Bentall, Richard P. Modelling the complexity of pandemic-related lifestyle quality change and mental health: an analysis of a nationally representative UK general population sample |
title | Modelling the complexity of pandemic-related lifestyle quality change and mental health: an analysis of a nationally representative UK general population sample |
title_full | Modelling the complexity of pandemic-related lifestyle quality change and mental health: an analysis of a nationally representative UK general population sample |
title_fullStr | Modelling the complexity of pandemic-related lifestyle quality change and mental health: an analysis of a nationally representative UK general population sample |
title_full_unstemmed | Modelling the complexity of pandemic-related lifestyle quality change and mental health: an analysis of a nationally representative UK general population sample |
title_short | Modelling the complexity of pandemic-related lifestyle quality change and mental health: an analysis of a nationally representative UK general population sample |
title_sort | modelling the complexity of pandemic-related lifestyle quality change and mental health: an analysis of a nationally representative uk general population sample |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674524/ https://www.ncbi.nlm.nih.gov/pubmed/34913985 http://dx.doi.org/10.1007/s00127-021-02210-w |
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