File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Identifying predictors of cognitive decline in long-term care: a scoping review

TitleIdentifying predictors of cognitive decline in long-term care: a scoping review
Authors
KeywordsAssisted-living
Associative factors
Cognitive decline
Cognitive dysfunction
Cognitive impairment
Long-term care
Nursing homes
Protective factors
Risk factors
Issue Date2023
Citation
BMC Geriatrics, 2023, v. 23, n. 1, article no. 538 How to Cite?
AbstractBackground: Cognitive impairment can cause social, emotional, and financial burdens on individuals, caregivers, and healthcare providers. This is especially important in settings such as long-term care (LTC) homes which largely consist of vulnerable older adults. Thus, the objective of this study is to review and summarize current research examining risk factors of cognitive decline in older adults within LTC. Methods: This scoping review includes primary observational research studies assessing within-person change in cognition over time in LTC or equivalent settings in high resource countries. A mean participant age of ≥ 65 years was required. Searches were conducted in Medline, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and PyscInfo on June 27th, 2022 and included articles published during or after the year 2000. Title, abstract, and full-text screening was performed by two independent reviewers using Covidence. Specific predictors along with their associated relation with cognitive decline were extracted by a team of reviewers into a spreadsheet. Results: Thirty-eight studies were included in this review. The mean sample size was 14 620. Eighty-seven unique predictors were examined in relation to cognitive decline. Dementia was the most studied predictor (examined by 9 of 38 studies), and the most conclusive, with eight of those studies identifying it as a risk factor for cognitive decline. Other predictors that were identified as risk factors included arterial stiffness (identified by 2 of 2 studies), physical frailty (2 of 2 studies), sub-syndromal delirium (2 of 2 studies), and undergoing the first wave of COVID-19 lockdowns (2 of 2 studies). ADL independence was the most conclusive protective factor (3 of 4 studies), followed by social engagement (2 of 3 studies). Many remaining predictors showed no association and/or conflicting results. Conclusions: Dementia was the most common risk factor, while ADL independence was the most common protective factor associated with cognitive decline in LTC residents. This information can be used to stratify residents by risk severity and provide better personalized care for older adults through the targeted management of cognitive decline.
Persistent Identifierhttp://hdl.handle.net/10722/347065

 

DC FieldValueLanguage
dc.contributor.authorArora, Gaurav-
dc.contributor.authorMilani, Christina-
dc.contributor.authorTanuseputro, Peter-
dc.contributor.authorTang, Patrick-
dc.contributor.authorJeong, Ahwon-
dc.contributor.authorKobewka, Daniel-
dc.contributor.authorWebber, Colleen-
dc.date.accessioned2024-09-17T04:15:07Z-
dc.date.available2024-09-17T04:15:07Z-
dc.date.issued2023-
dc.identifier.citationBMC Geriatrics, 2023, v. 23, n. 1, article no. 538-
dc.identifier.urihttp://hdl.handle.net/10722/347065-
dc.description.abstractBackground: Cognitive impairment can cause social, emotional, and financial burdens on individuals, caregivers, and healthcare providers. This is especially important in settings such as long-term care (LTC) homes which largely consist of vulnerable older adults. Thus, the objective of this study is to review and summarize current research examining risk factors of cognitive decline in older adults within LTC. Methods: This scoping review includes primary observational research studies assessing within-person change in cognition over time in LTC or equivalent settings in high resource countries. A mean participant age of ≥ 65 years was required. Searches were conducted in Medline, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and PyscInfo on June 27th, 2022 and included articles published during or after the year 2000. Title, abstract, and full-text screening was performed by two independent reviewers using Covidence. Specific predictors along with their associated relation with cognitive decline were extracted by a team of reviewers into a spreadsheet. Results: Thirty-eight studies were included in this review. The mean sample size was 14 620. Eighty-seven unique predictors were examined in relation to cognitive decline. Dementia was the most studied predictor (examined by 9 of 38 studies), and the most conclusive, with eight of those studies identifying it as a risk factor for cognitive decline. Other predictors that were identified as risk factors included arterial stiffness (identified by 2 of 2 studies), physical frailty (2 of 2 studies), sub-syndromal delirium (2 of 2 studies), and undergoing the first wave of COVID-19 lockdowns (2 of 2 studies). ADL independence was the most conclusive protective factor (3 of 4 studies), followed by social engagement (2 of 3 studies). Many remaining predictors showed no association and/or conflicting results. Conclusions: Dementia was the most common risk factor, while ADL independence was the most common protective factor associated with cognitive decline in LTC residents. This information can be used to stratify residents by risk severity and provide better personalized care for older adults through the targeted management of cognitive decline.-
dc.languageeng-
dc.relation.ispartofBMC Geriatrics-
dc.subjectAssisted-living-
dc.subjectAssociative factors-
dc.subjectCognitive decline-
dc.subjectCognitive dysfunction-
dc.subjectCognitive impairment-
dc.subjectLong-term care-
dc.subjectNursing homes-
dc.subjectProtective factors-
dc.subjectRisk factors-
dc.titleIdentifying predictors of cognitive decline in long-term care: a scoping review-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1186/s12877-023-04193-6-
dc.identifier.pmid37670246-
dc.identifier.scopuseid_2-s2.0-85169763155-
dc.identifier.volume23-
dc.identifier.issue1-
dc.identifier.spagearticle no. 538-
dc.identifier.epagearticle no. 538-
dc.identifier.eissn1471-2318-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats