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A latent profile analysis of the nature of social group memberships and their contribution to retirement outcomes.

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Title: A latent profile analysis of the nature of social group memberships and their contribution to retirement outcomes.
Authors: La Rue, Crystal J., Steffens, Niklas K., Werth, Belén Álvarez, Bentley, Sarah V., Haslam, Catherine
Source: British Journal of Social Psychology. Apr2024, Vol. 63 Issue 2, p591-613. 23p.
Subjects: Mental health, Satisfaction, Group identity, Research funding, Retirement, Membership, Social groups, Latent structure analysis, Attitude (Psychology), Regression analysis, Mental depression
Abstract: Positive experiences of groups (e.g., the extent to which groups are important and supportive) tend to be associated with better retirement adjustment outcomes. However, group experiences are not always positive, and we know little about their varied contribution to adjustment outcomes. We addressed this gap by exploring the nature of social group memberships – in terms of varying positive and negative experiences of groups – to better understand how social group memberships shape retirement adjustment, life satisfaction and mental health. A latent profile analysis (using data from 489 retirees and their membership of 1887 groups) identified four profiles of social group memberships: optimal (63%), slightly straining (13%), low‐supportive (18%) and ambivalent (6%). Subsequent regression analysis showed that these different profiles of group membership were differentially associated with retirement adjustment outcomes: belonging to more optimal groups was associated with better perceived adjustment, higher life satisfaction and better mental health, while belonging to slightly straining and ambivalent groups contributed to poorer adjustment, lower life satisfaction and greater depression. These findings have implications for theory and practice, not least because they advance our understanding of the diversity of people's group memberships and their contribution to retirement and health outcomes. [ABSTRACT FROM AUTHOR]
Copyright of British Journal of Social Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: A latent profile analysis of the nature of social group memberships and their contribution to retirement outcomes.
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  Data: <searchLink fieldCode="JN" term="%22British+Journal+of+Social+Psychology%22">British Journal of Social Psychology</searchLink>. Apr2024, Vol. 63 Issue 2, p591-613. 23p.
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  Data: <searchLink fieldCode="DE" term="%22Mental+health%22">Mental health</searchLink><br /><searchLink fieldCode="DE" term="%22Satisfaction%22">Satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Group+identity%22">Group identity</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Retirement%22">Retirement</searchLink><br /><searchLink fieldCode="DE" term="%22Membership%22">Membership</searchLink><br /><searchLink fieldCode="DE" term="%22Social+groups%22">Social groups</searchLink><br /><searchLink fieldCode="DE" term="%22Latent+structure+analysis%22">Latent structure analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Attitude+%28Psychology%29%22">Attitude (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink>
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  Data: Positive experiences of groups (e.g., the extent to which groups are important and supportive) tend to be associated with better retirement adjustment outcomes. However, group experiences are not always positive, and we know little about their varied contribution to adjustment outcomes. We addressed this gap by exploring the nature of social group memberships – in terms of varying positive and negative experiences of groups – to better understand how social group memberships shape retirement adjustment, life satisfaction and mental health. A latent profile analysis (using data from 489 retirees and their membership of 1887 groups) identified four profiles of social group memberships: optimal (63%), slightly straining (13%), low‐supportive (18%) and ambivalent (6%). Subsequent regression analysis showed that these different profiles of group membership were differentially associated with retirement adjustment outcomes: belonging to more optimal groups was associated with better perceived adjustment, higher life satisfaction and better mental health, while belonging to slightly straining and ambivalent groups contributed to poorer adjustment, lower life satisfaction and greater depression. These findings have implications for theory and practice, not least because they advance our understanding of the diversity of people's group memberships and their contribution to retirement and health outcomes. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of British Journal of Social Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
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        Value: 10.1111/bjso.12694
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      – Code: eng
        Text: English
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        PageCount: 23
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      – SubjectFull: Mental health
        Type: general
      – SubjectFull: Satisfaction
        Type: general
      – SubjectFull: Group identity
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Retirement
        Type: general
      – SubjectFull: Membership
        Type: general
      – SubjectFull: Social groups
        Type: general
      – SubjectFull: Latent structure analysis
        Type: general
      – SubjectFull: Attitude (Psychology)
        Type: general
      – SubjectFull: Regression analysis
        Type: general
      – SubjectFull: Mental depression
        Type: general
    Titles:
      – TitleFull: A latent profile analysis of the nature of social group memberships and their contribution to retirement outcomes.
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            NameFull: La Rue, Crystal J.
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            NameFull: Steffens, Niklas K.
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            NameFull: Werth, Belén Álvarez
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            NameFull: Bentley, Sarah V.
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              M: 04
              Text: Apr2024
              Type: published
              Y: 2024
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