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The individual, place, and wellbeing – a network analysis

BACKGROUND: Previous research has examined individual-level and place characteristics as correlates of subjective wellbeing, with many studies concluding that individual factors (e.g. health, finances) are more strongly related to wellbeing. However, this ‘dualistic’ approach has been challenged, wi...

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Autores principales: McElroy, Eoin, Ashton, Mathew, Bagnall, Anne Marie, Comerford, Terence, McKeown, Mick, Patalay, Praveetha, Pennington, Andy, South, Jane, Wilson, Tim, Corcoran, Rhiannon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8419673/
https://www.ncbi.nlm.nih.gov/pubmed/34488692
http://dx.doi.org/10.1186/s12889-021-11553-7
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author McElroy, Eoin
Ashton, Mathew
Bagnall, Anne Marie
Comerford, Terence
McKeown, Mick
Patalay, Praveetha
Pennington, Andy
South, Jane
Wilson, Tim
Corcoran, Rhiannon
author_facet McElroy, Eoin
Ashton, Mathew
Bagnall, Anne Marie
Comerford, Terence
McKeown, Mick
Patalay, Praveetha
Pennington, Andy
South, Jane
Wilson, Tim
Corcoran, Rhiannon
author_sort McElroy, Eoin
collection PubMed
description BACKGROUND: Previous research has examined individual-level and place characteristics as correlates of subjective wellbeing, with many studies concluding that individual factors (e.g. health, finances) are more strongly related to wellbeing. However, this ‘dualistic’ approach has been challenged, with some arguing that it is impossible to disentangle the effects of the two domains, and that wellbeing should be considered as part of a network of mutually reinforcing relationships between individual, community and place characteristics. We used network analysis to explore these complex associations. METHODS: Data were from a large sample of adults from a socioeconomically disadvantaged region of the United Kingdom (N = 4319). Wellbeing was assessed using the 7-item version of the Warwick–Edinburgh Mental Wellbeing Scale (SWEMWBS). Mixed graphical networks were estimated including wellbeing, place and individual-characteristic variables as nodes. RESULTS: We found a densely connected network in which wellbeing was associated, both directly and indirectly, with all of the individual, community and place characteristics assessed. Wellbeing was most strongly connected with individual characteristics, in particular financial difficulty and subjective physical health. However, controlling for all other variables in the network model, wellbeing was positively associated with local greenspace usage, civic agency, and neighbourhood cohesion, and negatively associated with housing disrepair. Greater specificity in these associations was observed when the wellbeing construct was broken down into its constituent parts. CONCLUSIONS: These findings highlight the complex relationships that exist between individual, community and place characteristics in the context of subjective wellbeing, and that all domains need to be considered when developing population-level strategies to improve wellbeing. Further consideration needs to be given to how this might happen in practice, for example through a combination of consistent use of community engagement methodologies alongside Health in All Policy (HiAP) approaches. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11553-7.
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spelling pubmed-84196732021-09-07 The individual, place, and wellbeing – a network analysis McElroy, Eoin Ashton, Mathew Bagnall, Anne Marie Comerford, Terence McKeown, Mick Patalay, Praveetha Pennington, Andy South, Jane Wilson, Tim Corcoran, Rhiannon BMC Public Health Research Article BACKGROUND: Previous research has examined individual-level and place characteristics as correlates of subjective wellbeing, with many studies concluding that individual factors (e.g. health, finances) are more strongly related to wellbeing. However, this ‘dualistic’ approach has been challenged, with some arguing that it is impossible to disentangle the effects of the two domains, and that wellbeing should be considered as part of a network of mutually reinforcing relationships between individual, community and place characteristics. We used network analysis to explore these complex associations. METHODS: Data were from a large sample of adults from a socioeconomically disadvantaged region of the United Kingdom (N = 4319). Wellbeing was assessed using the 7-item version of the Warwick–Edinburgh Mental Wellbeing Scale (SWEMWBS). Mixed graphical networks were estimated including wellbeing, place and individual-characteristic variables as nodes. RESULTS: We found a densely connected network in which wellbeing was associated, both directly and indirectly, with all of the individual, community and place characteristics assessed. Wellbeing was most strongly connected with individual characteristics, in particular financial difficulty and subjective physical health. However, controlling for all other variables in the network model, wellbeing was positively associated with local greenspace usage, civic agency, and neighbourhood cohesion, and negatively associated with housing disrepair. Greater specificity in these associations was observed when the wellbeing construct was broken down into its constituent parts. CONCLUSIONS: These findings highlight the complex relationships that exist between individual, community and place characteristics in the context of subjective wellbeing, and that all domains need to be considered when developing population-level strategies to improve wellbeing. Further consideration needs to be given to how this might happen in practice, for example through a combination of consistent use of community engagement methodologies alongside Health in All Policy (HiAP) approaches. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11553-7. BioMed Central 2021-09-06 /pmc/articles/PMC8419673/ /pubmed/34488692 http://dx.doi.org/10.1186/s12889-021-11553-7 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
McElroy, Eoin
Ashton, Mathew
Bagnall, Anne Marie
Comerford, Terence
McKeown, Mick
Patalay, Praveetha
Pennington, Andy
South, Jane
Wilson, Tim
Corcoran, Rhiannon
The individual, place, and wellbeing – a network analysis
title The individual, place, and wellbeing – a network analysis
title_full The individual, place, and wellbeing – a network analysis
title_fullStr The individual, place, and wellbeing – a network analysis
title_full_unstemmed The individual, place, and wellbeing – a network analysis
title_short The individual, place, and wellbeing – a network analysis
title_sort individual, place, and wellbeing – a network analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8419673/
https://www.ncbi.nlm.nih.gov/pubmed/34488692
http://dx.doi.org/10.1186/s12889-021-11553-7
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