Literature DB >> 24652929

Factor Analysis of the 12-Item Zarit Burden Interview in Caregivers of Persons Diagnosed With Dementia.

Camille Branger1, Megan E O'Connell2, Debra Gail Morgan1.   

Abstract

The Zarit Burden Interview (ZBI) is commonly used to measure dementia caregiver burden, but its factor structure is unclear. A two-factor structure for the 12-item ZBI, "personal strain" and "role strain," has been shown, but recent data suggest that an additional factor of "guilt" is embedded in the "role strain" items. The 12-item ZBI administered to 194 informal rural and urban caregivers of persons diagnosed with dementia was analyzed using exploratory factor analysis. A two-factor structure, with item loadings consistent with previously conceptualized constructs of "personal strain" and "role strain," was found. Moreover, this factor structure was invariant to caregiver subgroups. When the predictive value of these factors was explored, only "personal strain" was important in predicting caregiver psychological distress, measured with the Brief Symptom Inventory. However, "role strain," which included the hypothesized "guilt" items, did not appear to be an important predictor of caregiver distress.
© The Author(s) 2014.

Entities:  

Keywords:  burden; guilt; psychological distress

Mesh:

Year:  2014        PMID: 24652929     DOI: 10.1177/0733464813520222

Source DB:  PubMed          Journal:  J Appl Gerontol        ISSN: 0733-4648


  7 in total

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5.  Investigating psychometric properties of the Thai version of the Zarit Burden Interview using rasch model and confirmatory factor analysis.

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Journal:  BMC Res Notes       Date:  2020-03-02

6.  A validation of the Croatian version of Zarit Burden Interview and clinical predictors of caregiver burden in informal caregivers of patients with dementia: a cross-sectional study.

Authors:  Jelena Lucijanić; Ksenija Baždarić; Dina Librenjak; Marko Lucijanić; Miroslav Hanževački; Vesna Jureša
Journal:  Croat Med J       Date:  2020-12-31       Impact factor: 1.351

7.  Evidence for measurement bias of the short form health survey based on sex and metropolitan influence zone in a secondary care population.

Authors:  Jake Ursenbach; Megan E O'Connell; Andrew Kirk; Debra Morgan
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  7 in total

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