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Worry About Caregiving Performance: A Confirmatory Factor Analysis

Recent studies on the Zarit Burden Interview (ZBI) support the existence of a unique factor, worry about caregiving performance (WaP), beyond role and personal strain. Our current study aims to confirm the existence of WaP within the multidimensionality of ZBI and to determine if predictors of WaP d...

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Autores principales: Li, Ruijie, Chong, Mei Sian, Chan, Peng Chew Mark, Tay, Bee Gek Laura, Ali, Noorhazlina Binte, Lim, Wee Shiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874286/
https://www.ncbi.nlm.nih.gov/pubmed/29623277
http://dx.doi.org/10.3389/fmed.2018.00079
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author Li, Ruijie
Chong, Mei Sian
Chan, Peng Chew Mark
Tay, Bee Gek Laura
Ali, Noorhazlina Binte
Lim, Wee Shiong
author_facet Li, Ruijie
Chong, Mei Sian
Chan, Peng Chew Mark
Tay, Bee Gek Laura
Ali, Noorhazlina Binte
Lim, Wee Shiong
author_sort Li, Ruijie
collection PubMed
description Recent studies on the Zarit Burden Interview (ZBI) support the existence of a unique factor, worry about caregiving performance (WaP), beyond role and personal strain. Our current study aims to confirm the existence of WaP within the multidimensionality of ZBI and to determine if predictors of WaP differ from the role and personal strain. We performed confirmatory factor analysis (CFA) on 466 caregiver-patient dyads to compare between one-factor (total score), two-factor (role/personal strain), three-factor (role/personal strain and WaP), and four-factor models (role strain split into two factors). We conducted linear regression analyses to explore the relationships between different ZBI factors with socio-demographic and disease characteristics, and investigated the stage-dependent differences between WaP with role and personal strain by dyadic relationship. The four-factor structure that incorporated WaP and split role strain into two factors yielded the best fit. Linear regression analyses reveal that different variables significantly predict WaP (adult child caregiver and Neuropsychiatric Inventory Questionnaire (NPI-Q) severity) from role/personal strain (adult child caregiver, instrumental activities of daily living, and NPI-Q distress). Unlike other factors, WaP was significantly endorsed in early cognitive impairment. Among spouses, WaP remained low across Clinical Dementia Rating (CDR) stages until a sharp rise in CDR 3; adult child and sibling caregivers experience a gradual rise throughout the stages. Our results affirm the existence of WaP as a unique factor. Future research should explore the potential of WaP as a possible intervention target to improve self-efficacy in the milder stages of burden.
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spelling pubmed-58742862018-04-05 Worry About Caregiving Performance: A Confirmatory Factor Analysis Li, Ruijie Chong, Mei Sian Chan, Peng Chew Mark Tay, Bee Gek Laura Ali, Noorhazlina Binte Lim, Wee Shiong Front Med (Lausanne) Medicine Recent studies on the Zarit Burden Interview (ZBI) support the existence of a unique factor, worry about caregiving performance (WaP), beyond role and personal strain. Our current study aims to confirm the existence of WaP within the multidimensionality of ZBI and to determine if predictors of WaP differ from the role and personal strain. We performed confirmatory factor analysis (CFA) on 466 caregiver-patient dyads to compare between one-factor (total score), two-factor (role/personal strain), three-factor (role/personal strain and WaP), and four-factor models (role strain split into two factors). We conducted linear regression analyses to explore the relationships between different ZBI factors with socio-demographic and disease characteristics, and investigated the stage-dependent differences between WaP with role and personal strain by dyadic relationship. The four-factor structure that incorporated WaP and split role strain into two factors yielded the best fit. Linear regression analyses reveal that different variables significantly predict WaP (adult child caregiver and Neuropsychiatric Inventory Questionnaire (NPI-Q) severity) from role/personal strain (adult child caregiver, instrumental activities of daily living, and NPI-Q distress). Unlike other factors, WaP was significantly endorsed in early cognitive impairment. Among spouses, WaP remained low across Clinical Dementia Rating (CDR) stages until a sharp rise in CDR 3; adult child and sibling caregivers experience a gradual rise throughout the stages. Our results affirm the existence of WaP as a unique factor. Future research should explore the potential of WaP as a possible intervention target to improve self-efficacy in the milder stages of burden. Frontiers Media S.A. 2018-03-22 /pmc/articles/PMC5874286/ /pubmed/29623277 http://dx.doi.org/10.3389/fmed.2018.00079 Text en Copyright © 2018 Li, Chong, Chan, Tay, Ali and Lim. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Li, Ruijie
Chong, Mei Sian
Chan, Peng Chew Mark
Tay, Bee Gek Laura
Ali, Noorhazlina Binte
Lim, Wee Shiong
Worry About Caregiving Performance: A Confirmatory Factor Analysis
title Worry About Caregiving Performance: A Confirmatory Factor Analysis
title_full Worry About Caregiving Performance: A Confirmatory Factor Analysis
title_fullStr Worry About Caregiving Performance: A Confirmatory Factor Analysis
title_full_unstemmed Worry About Caregiving Performance: A Confirmatory Factor Analysis
title_short Worry About Caregiving Performance: A Confirmatory Factor Analysis
title_sort worry about caregiving performance: a confirmatory factor analysis
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874286/
https://www.ncbi.nlm.nih.gov/pubmed/29623277
http://dx.doi.org/10.3389/fmed.2018.00079
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