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A support network typology for application in older populations with a preponderance of multigenerational households

Vanessa Burholt Orcid Logo, Christine Dobbs

Ageing and Society, Volume: 34, Issue: 7, Pages: 1 - 28

Swansea University Authors: Vanessa Burholt Orcid Logo, Christine Dobbs

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DOI (Published version): 10.1017/S0144686X12001511

Abstract

This paper considers the support networks of older people in populations with a preponderance of multigenerational households and examines the most vulnerable network types in terms of loneliness and isolation. Current common typologies of support networks may not be sensitive to differences within...

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Published in: Ageing and Society
ISSN: 0144-686X 1469-1779
Published: 2013
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URI: https://cronfa.swan.ac.uk/Record/cronfa13693
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last_indexed 2019-06-12T19:29:51Z
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spelling 2019-06-12T17:15:25.2185848 v2 13693 2012-12-13 A support network typology for application in older populations with a preponderance of multigenerational households cf7fe9863906cd54df5b0a99904d535e 0000-0002-6789-127X Vanessa Burholt Vanessa Burholt true false 937b7a89ff111abd197e192a6a850f22 Christine Dobbs Christine Dobbs true false 2012-12-13 PHAC This paper considers the support networks of older people in populations with a preponderance of multigenerational households and examines the most vulnerable network types in terms of loneliness and isolation. Current common typologies of support networks may not be sensitive to differences within and between different cultures. This paper uses cross-sectional data drawn from 590 elders (Gujaratis, Punjabis and Sylhetis) living in the United Kingdom and South Asia. Six variables were used in K-means cluster analysis to establish a new network typology. Two logistic regression models using loneliness and isolation as dependent variables assessed the contribution of the new network type to well-being. Four support networks were identified: ‘Multigenerational Households: Older Integrated Networks’, ‘Multigenerational Households: Younger Family Networks’, ‘Family And Friends Integrated Networks’, and ‘Non-Kin Restricted Networks’. Older South Asians with ‘Non-Kin Restricted Networks’ were more likely to be lonely and isolated compared to others. Using network typologies developed with individualistically-oriented cultures distributions are skewed towards more robust network types and could underestimate the support needs of older people from familistic cultures, who may be isolated and lonely and with limited informal sources of help. The new typology identifies different network types within multigenerational households, identifies a greater proportion of older people with vulnerable networks and could positively contribute to service planning. Journal Article Ageing and Society 34 7 1 28 0144-686X 1469-1779 social resources; support networks; ethnic minority groups; immigration; loneliness; social isolation; BME; multigenerational households 28 2 2013 2013-02-28 10.1017/S0144686X12001511 COLLEGE NANME Public Health COLLEGE CODE PHAC Swansea University 2019-06-12T17:15:25.2185848 2012-12-13T18:00:43.8787167 Faculty of Medicine, Health and Life Sciences The Centre for Innovative Ageing Vanessa Burholt 0000-0002-6789-127X 1 Christine Dobbs 2 0013693-13082013125738.pdf ASA__-__Burholt__and__Dobbs__offprint__2013.pdf 2013-08-13T12:57:38.7730000 Output 583302 Version of Record true 2013-08-13T00:00:00.0000000 Distributed under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true
title A support network typology for application in older populations with a preponderance of multigenerational households
spellingShingle A support network typology for application in older populations with a preponderance of multigenerational households
Vanessa Burholt
Christine Dobbs
title_short A support network typology for application in older populations with a preponderance of multigenerational households
title_full A support network typology for application in older populations with a preponderance of multigenerational households
title_fullStr A support network typology for application in older populations with a preponderance of multigenerational households
title_full_unstemmed A support network typology for application in older populations with a preponderance of multigenerational households
title_sort A support network typology for application in older populations with a preponderance of multigenerational households
author_id_str_mv cf7fe9863906cd54df5b0a99904d535e
937b7a89ff111abd197e192a6a850f22
author_id_fullname_str_mv cf7fe9863906cd54df5b0a99904d535e_***_Vanessa Burholt
937b7a89ff111abd197e192a6a850f22_***_Christine Dobbs
author Vanessa Burholt
Christine Dobbs
author2 Vanessa Burholt
Christine Dobbs
format Journal article
container_title Ageing and Society
container_volume 34
container_issue 7
container_start_page 1
publishDate 2013
institution Swansea University
issn 0144-686X
1469-1779
doi_str_mv 10.1017/S0144686X12001511
college_str Faculty of Medicine, Health and Life Sciences
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hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str The Centre for Innovative Ageing{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}The Centre for Innovative Ageing
document_store_str 1
active_str 0
description This paper considers the support networks of older people in populations with a preponderance of multigenerational households and examines the most vulnerable network types in terms of loneliness and isolation. Current common typologies of support networks may not be sensitive to differences within and between different cultures. This paper uses cross-sectional data drawn from 590 elders (Gujaratis, Punjabis and Sylhetis) living in the United Kingdom and South Asia. Six variables were used in K-means cluster analysis to establish a new network typology. Two logistic regression models using loneliness and isolation as dependent variables assessed the contribution of the new network type to well-being. Four support networks were identified: ‘Multigenerational Households: Older Integrated Networks’, ‘Multigenerational Households: Younger Family Networks’, ‘Family And Friends Integrated Networks’, and ‘Non-Kin Restricted Networks’. Older South Asians with ‘Non-Kin Restricted Networks’ were more likely to be lonely and isolated compared to others. Using network typologies developed with individualistically-oriented cultures distributions are skewed towards more robust network types and could underestimate the support needs of older people from familistic cultures, who may be isolated and lonely and with limited informal sources of help. The new typology identifies different network types within multigenerational households, identifies a greater proportion of older people with vulnerable networks and could positively contribute to service planning.
published_date 2013-02-28T03:15:39Z
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