Apathy and agitation in institutionalized older adults: an empirically derived classification

Mouriz-Corbelle, Romina; Caamaño-Ponte, José; Dosil, Carlos; Picón, Eduardo; Facal, David

doi:10.1111/psyg.12659

Cited by 5 publications

(1 citation statement)

References 29 publications

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“…Rockwood et al ( 53 ) used two analytical methods (connectivity graph analysis and multiple correspondence analysis) to identify psychotic symptom clusters and found that moderate/severe dementia was associated with more psychotic symptoms, which was consistent with our results. Mouriz-Corbelle et al ( 54 ) and Umesh et al ( 55 ) also found similar results that high level of aggression was associated with low level of cognitive function.…”

Section: Discussionsupporting

confidence: 55%

Identifying care problem clusters and core care problems of older adults with dementia for caregivers: a network analysis

Leng,

Han,

Sun

et al. 2023

Front. Public Health

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BackgroundA shift in research interest from separate care problem to care problem clusters among caregivers of people living with dementia may contribute to a better understanding of dementia care. However, the care problems network among caregivers of people living with dementia are still unknown. This study aimed to identify care problem clusters and core care problems, and explore demographic variables associated with these care problem clusters among caregivers of people living with dementia.MethodsParticipants were recruited through memory clinics and WeChat groups. The principal component analysis was applied to identify care problem clusters. The network analysis was conducted to describe the relationships among care problems and clusters. Multiple linear models were used to explore the associated factors for the occurrence of the overall care problems and top three central care problem clusters.ResultsA total of 1,012 carer-patient pairs were included in the analysis. Nine care problem clusters were identified. In the entire care problem network, “deterioration in activities of daily living” was the most core care problem cluster across the three centrality indices, followed by “verbal and nonverbal aggression” and “loss of activities of daily living.” Variables including marital status, years of dementia diagnosis, number of dementia medication type, and caregiver’s educational attainment were associated with the prevalence of these three care problem clusters.ConclusionOur study suggests that there is a need to evaluate care problem clusters for the improvement of care problem management among people living with dementia. It is particularly important to include assessment and treatment of core care problem as an essential component of the dementia care.

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Section: Discussionsupporting

confidence: 55%

Identifying care problem clusters and core care problems of older adults with dementia for caregivers: a network analysis

Leng,

Han,

Sun

et al. 2023

Front. Public Health

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Clustering Analysis of the Care Problems of People with Dementia Based on the Minimum Spanning Tree Algorithm: A Cross-sectional Study (Preprint)

Leng¹,

Sun²,

Chang³

et al. 2021

Preprint

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BACKGROUND Recognizing the correlations between care problems of people with dementia could be beneficial, as it may help clinicians choose treatment methods because related symptom groups may respond to the same treatment intervention. However, generalizable data on the prevalence of care problems and potential clusters of care problems in people with dementia in China remain unavailable. OBJECTIVE This study aimed to (1) evaluate the prevalence of various care problems of people with dementia, and (2) explore the core care problems and the correlation between care problems of people with dementia. METHODS A cross-sectional study design was adopted to identify the care problems of people with dementia reported by family caregivers. The questionnaire consisted of two parts. The first part was mainly socio-demographic questions of people with dementia. The second part was the care problems evaluation sheet which involved three aspects: daily living care problems, behavioral and psychological symptoms, and safety risks. Care problems of people with dementia were measured with this care problems evaluation sheet. Clustering analysis of the care problems based on Kruskal's minimum spanning tree (MST) algorithm was performed in the Jupyter Notebook software to explore the core care problems and the correlation between care problems. RESULTS A total of 687 participants were included in the analysis. In general, the prevalence of having difficulty in language performance, agitated behavior, incidence of falls was relatively higher in people with dementia, which distressed their family caregivers. Through the clustering analysis based on the Kruskal's MST algorithm, the 63 care problems were clustered into 7 clusters. The 7 core care problems were “Don't know how to dress in order”, “Refusing to take a bath”, “Bedridden”, “Hitting, kicking, pushing, or biting others”, “Pacing and aimless wandering”, “Complaining”, and “Choking on food”. CONCLUSIONS The prevalence of various care problems was high. Through the clustering analysis, care problems were clustered into 7 clusters and 7 core care problems were identified. The identity of just a few core care problems instead of a large number of them might have relevant clinical implications, in the sense that it may lead to a greater ease in the identification of underlying etiologies and to more rational treatments in people with dementia.

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Clustering Analysis of the Care Problems of People with Dementia Based on the Minimum Spanning Tree Algorithm: A Cross-Sectional Study

Leng

Sun

Chang

et al. 2022

JAD

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Background: Recognizing the correlations between care problems of people with dementia could help clinicians choose treatment methods because related symptom groups might respond to the same treatment intervention. Objective: This study aimed to evaluate the prevalence of various care problems in people with dementia and to explore the core care problems and correlations between care problems of people with dementia. Methods: This cross-sectional study recruited family caregivers of people with dementia through memory clinics and WeChat groups. Care problems of people with dementia were measured using a care problems evaluation sheet, which involved three aspects: daily living care problems, behavioral and psychological symptoms, and safety risks. Clustering analysis of the care problems based on Kruskal’s minimum spanning tree (MST) algorithm was performed in the Jupyter Notebook software to explore the core care problems and their correlations. Results: A total of 687 carer-patient pairs were included in the analysis. In general, the prevalence of having difficulty in language performance, agitated behavior, and incidence of falls was relatively higher than other care problems in people with dementia, which distressed their family caregivers. Through clustering analysis, the 63 care problems were clustered into 7 clusters and 7 core care problems were identified. Conclusion: The prevalence of various care problems of people living with dementia in China was relatively high. The information regarding correlations in clusters among care problems will help practitioners and policymakers to identify the core care problems and optimize more rational treatments for people with dementia.

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Apathy and agitation in institutionalized older adults: an empirically derived classification

Cited by 5 publications

References 29 publications

Identifying care problem clusters and core care problems of older adults with dementia for caregivers: a network analysis

Identifying care problem clusters and core care problems of older adults with dementia for caregivers: a network analysis

Clustering Analysis of the Care Problems of People with Dementia Based on the Minimum Spanning Tree Algorithm: A Cross-sectional Study (Preprint)

Clustering Analysis of the Care Problems of People with Dementia Based on the Minimum Spanning Tree Algorithm: A Cross-Sectional Study

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