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Combining a variable‐centered and a person-centered analytical approach to caregiving burden – a holistic approach

BACKGROUND: Informal caregivers of persons with dementia often experience elevated levels of caregiving burden. However, existing studies tend to use a variable-centered approach to explore it. This study aims to understand the caregiving burden of informal caregivers of persons with dementia in Sin...

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Autores principales: Yuan, Qi, Tan, Gregory Tee Hng, Wang, Peizhi, Devi, Fiona, Goveas, Richard, Magadi, Harish, Ng, Li Ling, Chong, Siow Ann, Subramaniam, Mythily
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086073/
https://www.ncbi.nlm.nih.gov/pubmed/33931027
http://dx.doi.org/10.1186/s12877-021-02238-2
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author Yuan, Qi
Tan, Gregory Tee Hng
Wang, Peizhi
Devi, Fiona
Goveas, Richard
Magadi, Harish
Ng, Li Ling
Chong, Siow Ann
Subramaniam, Mythily
author_facet Yuan, Qi
Tan, Gregory Tee Hng
Wang, Peizhi
Devi, Fiona
Goveas, Richard
Magadi, Harish
Ng, Li Ling
Chong, Siow Ann
Subramaniam, Mythily
author_sort Yuan, Qi
collection PubMed
description BACKGROUND: Informal caregivers of persons with dementia often experience elevated levels of caregiving burden. However, existing studies tend to use a variable-centered approach to explore it. This study aims to understand the caregiving burden of informal caregivers of persons with dementia in Singapore through a combination of variable-centered and person-centered analytical approaches, and explore the correlates of identified factors and latent classes of caregiving burden. METHODS: Zarit Burden Interview was used to gauge the caregiving burden of 282 primary informal caregivers of persons with dementia recruited through convenience sampling in Singapore. Factor analysis and latent class analysis were conducted to identify the latent factors and the latent classes of Zarit Burden Interview, followed by multiple linear regression and multinomial logistic regression to explore their significant correlates. RESULTS: The analyses suggested a 17-item 3-factor structure for Zarit burden interview and three mutually exclusive caregiving burden classes. Regression analyses found that caregiving related variables especially care recipients’ memory and behaviour problems were correlated with both the factors and latent classes of caregiving burden. CONCLUSIONS: The combination of these two approaches suggests that caregivers experiencing higher burden on one domain are likely to experience higher burden on the other two domains. This further supports the point that more attention should be given to caregivers who experience an overall high burden. Future research could explore the generalizability of our findings among caregivers elsewhere and explore the type of support needed by caregivers, especially those experiencing high burden.
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spelling pubmed-80860732021-04-30 Combining a variable‐centered and a person-centered analytical approach to caregiving burden – a holistic approach Yuan, Qi Tan, Gregory Tee Hng Wang, Peizhi Devi, Fiona Goveas, Richard Magadi, Harish Ng, Li Ling Chong, Siow Ann Subramaniam, Mythily BMC Geriatr Research BACKGROUND: Informal caregivers of persons with dementia often experience elevated levels of caregiving burden. However, existing studies tend to use a variable-centered approach to explore it. This study aims to understand the caregiving burden of informal caregivers of persons with dementia in Singapore through a combination of variable-centered and person-centered analytical approaches, and explore the correlates of identified factors and latent classes of caregiving burden. METHODS: Zarit Burden Interview was used to gauge the caregiving burden of 282 primary informal caregivers of persons with dementia recruited through convenience sampling in Singapore. Factor analysis and latent class analysis were conducted to identify the latent factors and the latent classes of Zarit Burden Interview, followed by multiple linear regression and multinomial logistic regression to explore their significant correlates. RESULTS: The analyses suggested a 17-item 3-factor structure for Zarit burden interview and three mutually exclusive caregiving burden classes. Regression analyses found that caregiving related variables especially care recipients’ memory and behaviour problems were correlated with both the factors and latent classes of caregiving burden. CONCLUSIONS: The combination of these two approaches suggests that caregivers experiencing higher burden on one domain are likely to experience higher burden on the other two domains. This further supports the point that more attention should be given to caregivers who experience an overall high burden. Future research could explore the generalizability of our findings among caregivers elsewhere and explore the type of support needed by caregivers, especially those experiencing high burden. BioMed Central 2021-04-30 /pmc/articles/PMC8086073/ /pubmed/33931027 http://dx.doi.org/10.1186/s12877-021-02238-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yuan, Qi
Tan, Gregory Tee Hng
Wang, Peizhi
Devi, Fiona
Goveas, Richard
Magadi, Harish
Ng, Li Ling
Chong, Siow Ann
Subramaniam, Mythily
Combining a variable‐centered and a person-centered analytical approach to caregiving burden – a holistic approach
title Combining a variable‐centered and a person-centered analytical approach to caregiving burden – a holistic approach
title_full Combining a variable‐centered and a person-centered analytical approach to caregiving burden – a holistic approach
title_fullStr Combining a variable‐centered and a person-centered analytical approach to caregiving burden – a holistic approach
title_full_unstemmed Combining a variable‐centered and a person-centered analytical approach to caregiving burden – a holistic approach
title_short Combining a variable‐centered and a person-centered analytical approach to caregiving burden – a holistic approach
title_sort combining a variable‐centered and a person-centered analytical approach to caregiving burden – a holistic approach
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086073/
https://www.ncbi.nlm.nih.gov/pubmed/33931027
http://dx.doi.org/10.1186/s12877-021-02238-2
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