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Understanding the multifaceted nature of quality of life in dementia using a transdiagnostic network analysis approach.

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Title: Understanding the multifaceted nature of quality of life in dementia using a transdiagnostic network analysis approach.
Authors: Dewitte, Laura (AUTHOR), Cheung, Sau Chi (AUTHOR), Foxe, David (AUTHOR), Ahmed, Rebekah M. (AUTHOR), Piguet, Olivier (AUTHOR), Irish, Muireann (AUTHOR)
Source: Aging & Mental Health. Jul2026, Vol. 30 Issue 7, p1457-1470. 14p.
Subjects: Self-evaluation, Cross-sectional method, Alzheimer's disease, Research funding, Scientific observation, Disability determination, Socioeconomic factors, Questionnaires, Family relations, Psychological adaptation, Descriptive statistics, Burden of care, Financial stress, Quality of life, Research, Psychometrics, Memory, Psychology of caregivers, Interpersonal relations, Data analysis software, Activities of daily living, Caregiver attitudes, Cognition, Mental depression, Self-perception
Geographic Terms: Australia
Abstract: Objectives: Efforts to improve quality of life (QOL) in dementia depend on its accurate conceptualization and assessment. We employed a data-driven network approach to examine the structure of relationships between individual QOL items. This approach allowed us to capture the complexity and multidimensional nature of QOL from the perspective of the person with dementia and their carer. Method: Participants with dementia (n = 128) and carers completed the Quality of Life in Alzheimer's Disease questionnaire (QOL-AD), and measures of depressive symptoms, cognition, and functional abilities of the person with dementia, and carer burden. Gaussian graphical models with regularized partial correlations of QOL-AD items were estimated and compared, and item communities were detected. Results: Central elements that emerged in both self and carer-reported networks included Ability to do Things for Fun, Energy, and Life as a Whole. Memory and Money were less central. Distinct differences were also evident between self- and carer-networks. Whilst Self as a Whole was relatively more central in the self-reported network, Ability to Do Chores and Family were more central in the carer-reported network. Moreover, different communities were detected in the networks, corresponding to domains including socioeconomic, daily, self-referential, and instrumental functioning, with differential correlations to key clinical outcome variables. Conclusion: QOL in dementia is inherently multidimensional and differs when assessed from the viewpoint of the person living with dementia versus their carer. Network approaches offer the granularity required to ensure that targeted interventions can be tailored toward these complementary perspectives. [ABSTRACT FROM AUTHOR]
Copyright of Aging & Mental Health is the property of Taylor & Francis Ltd 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: Understanding the multifaceted nature of quality of life in dementia using a transdiagnostic network analysis approach.
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  Data: <searchLink fieldCode="AR" term="%22Dewitte%2C+Laura%22">Dewitte, Laura</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cheung%2C+Sau+Chi%22">Cheung, Sau Chi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Foxe%2C+David%22">Foxe, David</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ahmed%2C+Rebekah+M%2E%22">Ahmed, Rebekah M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Piguet%2C+Olivier%22">Piguet, Olivier</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Irish%2C+Muireann%22">Irish, Muireann</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Aging+%26+Mental+Health%22">Aging & Mental Health</searchLink>. Jul2026, Vol. 30 Issue 7, p1457-1470. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Australia%22">Australia</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Objectives: Efforts to improve quality of life (QOL) in dementia depend on its accurate conceptualization and assessment. We employed a data-driven network approach to examine the structure of relationships between individual QOL items. This approach allowed us to capture the complexity and multidimensional nature of QOL from the perspective of the person with dementia and their carer. Method: Participants with dementia (n = 128) and carers completed the Quality of Life in Alzheimer's Disease questionnaire (QOL-AD), and measures of depressive symptoms, cognition, and functional abilities of the person with dementia, and carer burden. Gaussian graphical models with regularized partial correlations of QOL-AD items were estimated and compared, and item communities were detected. Results: Central elements that emerged in both self and carer-reported networks included Ability to do Things for Fun, Energy, and Life as a Whole. Memory and Money were less central. Distinct differences were also evident between self- and carer-networks. Whilst Self as a Whole was relatively more central in the self-reported network, Ability to Do Chores and Family were more central in the carer-reported network. Moreover, different communities were detected in the networks, corresponding to domains including socioeconomic, daily, self-referential, and instrumental functioning, with differential correlations to key clinical outcome variables. Conclusion: QOL in dementia is inherently multidimensional and differs when assessed from the viewpoint of the person living with dementia versus their carer. Network approaches offer the granularity required to ensure that targeted interventions can be tailored toward these complementary perspectives. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Aging & Mental Health is the property of Taylor & Francis Ltd 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=194972613
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/13607863.2025.2610669
    Languages:
      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 1457
    Subjects:
      – SubjectFull: Self-evaluation
        Type: general
      – SubjectFull: Cross-sectional method
        Type: general
      – SubjectFull: Alzheimer's disease
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Scientific observation
        Type: general
      – SubjectFull: Disability determination
        Type: general
      – SubjectFull: Socioeconomic factors
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Family relations
        Type: general
      – SubjectFull: Psychological adaptation
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Burden of care
        Type: general
      – SubjectFull: Financial stress
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      – SubjectFull: Quality of life
        Type: general
      – SubjectFull: Research
        Type: general
      – SubjectFull: Psychometrics
        Type: general
      – SubjectFull: Memory
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      – SubjectFull: Psychology of caregivers
        Type: general
      – SubjectFull: Interpersonal relations
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Activities of daily living
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      – SubjectFull: Caregiver attitudes
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      – SubjectFull: Cognition
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      – SubjectFull: Mental depression
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      – SubjectFull: Self-perception
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      – SubjectFull: Australia
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      – TitleFull: Understanding the multifaceted nature of quality of life in dementia using a transdiagnostic network analysis approach.
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              Text: Jul2026
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