File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: The patterns of caregiving activities for family caregivers of older adults in Hong Kong: An exploratory latent class analysis

TitleThe patterns of caregiving activities for family caregivers of older adults in Hong Kong: An exploratory latent class analysis
Authors
KeywordsCare task
Caregiver support
Informal caregiver
Person-centered
Typology
Issue Date2020
PublisherOxford University Press. The Journal's web site is located at http://www.gerontologyjournals.org
Citation
Journals of Gerontology Series B: Psychological Sciences & Social Sciences, 2020, Epub 2020-11-19, p. article no. gbaa203 How to Cite?
AbstractObjectives: This study identified the classes (i.e., patterns) of caregivers’ activities, based on their engagements in caregiving activities, and explored the characteristics and the caregiver burden of these classes. Methods: This study was a secondary analysis of a cross-sectional survey on the profiles of family caregivers of older adults in Hong Kong. A latent class analysis approach was adopted to classify family caregivers (N = 932) according to their routine involvements in 17 daily caregiving activities: 6 activities of daily living (ADLs) and 8 instrumental activities of daily living activities (IADLs) in addition to emotional support, decision making, and financial support. Multinomial logistic regression and multiple linear regression illuminated the characteristics of the classes and compared their levels of caregiver burden. Results: The family caregivers fell into 5 classes: All-Round Care (High Demand, 19.5%), All-Round Care (Moderate Demand, 8.2%), Predominant IADLs Care (High Demand, 23.8%), Predominant IADLs Care (Moderate Demand, 32.5%), and Minimal ADLs and IADLs Care (Low Demand, 16.0%). These classes exhibited different characteristics in terms of care recipients’ cognitive statuses and caregiver backgrounds. The levels of caregiver burden differed across classes; the All-Round Care (High Demand) class experienced the highest levels of caregiver burden. Discussion: This study contributes to existing scholarship by turning away from a predefined category of care tasks to explore the patterns of caregiving activities. By identifying caregiving activity patterns and understanding their associated characteristics and caregiver burden, prioritizing and targeting caregiver support interventions better is possible.
Persistent Identifierhttp://hdl.handle.net/10722/294713
ISSN
2023 Impact Factor: 4.8
2023 SCImago Journal Rankings: 2.305
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHUANG, J-
dc.contributor.authorChau, PH-
dc.contributor.authorChoi, EPH-
dc.contributor.authorWu, B-
dc.contributor.authorLou, VW-
dc.date.accessioned2020-12-08T07:40:48Z-
dc.date.available2020-12-08T07:40:48Z-
dc.date.issued2020-
dc.identifier.citationJournals of Gerontology Series B: Psychological Sciences & Social Sciences, 2020, Epub 2020-11-19, p. article no. gbaa203-
dc.identifier.issn1079-5014-
dc.identifier.urihttp://hdl.handle.net/10722/294713-
dc.description.abstractObjectives: This study identified the classes (i.e., patterns) of caregivers’ activities, based on their engagements in caregiving activities, and explored the characteristics and the caregiver burden of these classes. Methods: This study was a secondary analysis of a cross-sectional survey on the profiles of family caregivers of older adults in Hong Kong. A latent class analysis approach was adopted to classify family caregivers (N = 932) according to their routine involvements in 17 daily caregiving activities: 6 activities of daily living (ADLs) and 8 instrumental activities of daily living activities (IADLs) in addition to emotional support, decision making, and financial support. Multinomial logistic regression and multiple linear regression illuminated the characteristics of the classes and compared their levels of caregiver burden. Results: The family caregivers fell into 5 classes: All-Round Care (High Demand, 19.5%), All-Round Care (Moderate Demand, 8.2%), Predominant IADLs Care (High Demand, 23.8%), Predominant IADLs Care (Moderate Demand, 32.5%), and Minimal ADLs and IADLs Care (Low Demand, 16.0%). These classes exhibited different characteristics in terms of care recipients’ cognitive statuses and caregiver backgrounds. The levels of caregiver burden differed across classes; the All-Round Care (High Demand) class experienced the highest levels of caregiver burden. Discussion: This study contributes to existing scholarship by turning away from a predefined category of care tasks to explore the patterns of caregiving activities. By identifying caregiving activity patterns and understanding their associated characteristics and caregiver burden, prioritizing and targeting caregiver support interventions better is possible.-
dc.languageeng-
dc.publisherOxford University Press. The Journal's web site is located at http://www.gerontologyjournals.org-
dc.relation.ispartofJournals of Gerontology Series B: Psychological Sciences & Social Sciences-
dc.rightsPost-print: This is a pre-copy-editing, author-produced PDF of an article accepted for publication in [insert journal title] following peer review. The definitive publisher-authenticated version [insert complete citation information here] is available online at: xxxxxxx [insert URL that the author will receive upon publication here].-
dc.subjectCare task-
dc.subjectCaregiver support-
dc.subjectInformal caregiver-
dc.subjectPerson-centered-
dc.subjectTypology-
dc.titleThe patterns of caregiving activities for family caregivers of older adults in Hong Kong: An exploratory latent class analysis-
dc.typeArticle-
dc.identifier.emailChau, PH: phpchau@hku.hk-
dc.identifier.emailChoi, EPH: ephchoi@hku.hk-
dc.identifier.emailLou, VW: wlou@hku.hk-
dc.identifier.authorityChau, PH=rp00574-
dc.identifier.authorityChoi, EPH=rp02329-
dc.identifier.authorityLou, VW=rp00607-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1093/geronb/gbaa203-
dc.identifier.pmid33211887-
dc.identifier.scopuseid_2-s2.0-85105927979-
dc.identifier.hkuros320435-
dc.identifier.volumeEpub 2020-11-19-
dc.identifier.spagearticle no. gbaa203-
dc.identifier.epagearticle no. gbaa203-
dc.identifier.isiWOS:000701421400012-
dc.publisher.placeUnited States-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats