Symptoms of mood disorders in family carers of older people with dementia who experience caregiver burden: a network approach
| Autor: | Evelise Saia Rodolpho Duarte, Alessandro Ferrari Jacinto, Rajvinder Samra, Alex Bacadini França, Adam L. Gordon |
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| Přispěvatelé: | Universidade Federal de São Carlos (UFSCar), University of Nottingham, Open University, Universidade Estadual Paulista (Unesp), Universidade de São Paulo (USP) |
| Rok vydání: | 2019 |
| Předmět: |
Aging
Generalized anxiety disorder Psychological intervention Caregiver Burden Anxiety Hospital Anxiety and Depression Scale 03 medical and health sciences 0302 clinical medicine medicine Dementia Humans 030212 general & internal medicine Aged business.industry Depression Mood Disorders General Medicine Caregiver burden medicine.disease Caregiver Cross-Sectional Studies Mood disorders Caregivers Network analysis Geriatrics and Gerontology medicine.symptom Older people business Psychosocial 030217 neurology & neurosurgery Clinical psychology |
| Zdroj: | Scopus Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP |
| ISSN: | 1468-2834 0002-0729 |
| Popis: | Backgroundinformal carers of people with dementia are at greater risk of anxiety and depressive disorders if they find caregiving to be a burden. The aim of this study was to use a network analysis of cross-sectional data to investigate the relationships between anxiety and depressive symptoms in family carers of older people with dementia who experience burden.Methodssixty family carers exhibiting high levels of burden using the Zarit Burden Interview were included in the study. Participants completed the Hospital Anxiety and Depression Scale. The network analysis identified the depression and anxiety symptom network using features including a topological graph, network centrality metrics and community analysis. The network was estimated through the graphical LASSO technique in combination with a walktrap algorithm to obtain the clusters within the network and the connections between the nodes (symptoms). A directed acyclic graph was generated to model symptom interactions.Resultsthe resulting network architecture shows important bridges between depression and anxiety symptoms. Lack of pleasure and loss of enjoyment were identified as potential gateway symptoms to other anxiety and depression symptoms and represent possible therapeutic targets for psychosocial interventions. Fear and loss of optimism were highly central symptoms, indicating their importance as warning signs of more generalised anxiety and depression.Conclusionsthis network analysis of depressive and anxiety symptoms in overburdened family carers provides important insights as to what symptoms may be the most important targets for behavioural interventions. |
| Databáze: | OpenAIRE |
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