The individual, place, and wellbeing – a network analysis

Abstract 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 challe...

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Main Authors: Eoin McElroy, Mathew Ashton, Anne Marie Bagnall, Terence Comerford, Mick McKeown, Praveetha Patalay, Andy Pennington, Jane South, Tim Wilson, Rhiannon Corcoran
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Public Health
Subjects:
Online Access:https://doi.org/10.1186/s12889-021-11553-7
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spelling doaj-4141d1f6c232496cb6cf3ca8fc26dec12021-09-12T11:14:59ZengBMCBMC Public Health1471-24582021-09-0121111010.1186/s12889-021-11553-7The individual, place, and wellbeing – a network analysisEoin McElroy0Mathew Ashton1Anne Marie Bagnall2Terence Comerford3Mick McKeown4Praveetha Patalay5Andy Pennington6Jane South7Tim Wilson8Rhiannon Corcoran9Department of Neuroscience, Psychology and Behaviour, University of LeicesterDepartment of Public Health and Policy, University of Liverpool, & Liverpool City CouncilCentre for Health Promotion Research, Leeds Beckett UniversityNIHR ARC North West CoastSchool of Nursing, University of Central LancashireCentre for Longitudinal Studies and Medical Research Council Unit for Lifelong Health and Ageing, University College LondonInstitute of Population Health Sciences, University of LiverpoolCentre for Health Promotion Research, Leeds Beckett UniversityNIHR ARC North West CoastDepartment of Primary Care and Mental Health, University of LiverpoolAbstract 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.https://doi.org/10.1186/s12889-021-11553-7Network analysisWellbeingPlaceNeighbourhoods
collection DOAJ
language English
format Article
sources DOAJ
author Eoin McElroy
Mathew Ashton
Anne Marie Bagnall
Terence Comerford
Mick McKeown
Praveetha Patalay
Andy Pennington
Jane South
Tim Wilson
Rhiannon Corcoran
spellingShingle Eoin McElroy
Mathew Ashton
Anne Marie Bagnall
Terence Comerford
Mick McKeown
Praveetha Patalay
Andy Pennington
Jane South
Tim Wilson
Rhiannon Corcoran
The individual, place, and wellbeing – a network analysis
BMC Public Health
Network analysis
Wellbeing
Place
Neighbourhoods
author_facet Eoin McElroy
Mathew Ashton
Anne Marie Bagnall
Terence Comerford
Mick McKeown
Praveetha Patalay
Andy Pennington
Jane South
Tim Wilson
Rhiannon Corcoran
author_sort Eoin McElroy
title The individual, place, and wellbeing – a network analysis
title_short 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_sort individual, place, and wellbeing – a network analysis
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2021-09-01
description Abstract 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.
topic Network analysis
Wellbeing
Place
Neighbourhoods
url https://doi.org/10.1186/s12889-021-11553-7
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