Comprehensive analysis of patient and caregiver predictors for caregiver burden, anxiety and depression in <scp>A</scp>lzheimer's disease
Notice bibliographique
Résumé
AIMS AND OBJECTIVES: The primary aim of this study was to examine the correlations between patient and caregiver characteristics with caregiver burden, anxiety and depression in Alzheimer's Disease. Secondary aim was to determine which behavioural and psychological symptoms had the greatest impact on caregiver burden, anxiety and depression in Alzheimer's Disease. BACKGROUND: Caregivers of individuals with Alzheimer's Disease experience high levels of burden, both psychologically and physically. Previous studies have examined caregiver burden, anxiety and depression separately. However, no paper has examined these three psychological conditions simultaneously. DESIGN: A cross-sectional design. METHODS: A total of 310 patients with probable Alzheimer's Disease and their primary caregivers were assessed. Cognitive impairment and neuropsychiatric symptoms were assessed with the Mini Mental State Examination, Montreal Cognitive Assessment, Clock Drawing Test and Neuropsychiatric Inventory, respectively. Caregiver burden, anxiety and depression were assessed with the ZBI, Generalised Anxiety Disorder Scale-7 and Patient Health Questionnaire-9, respectively. RESULTS: All 12 neuropsychiatric symptoms in the Neuropsychiatric Inventory were significantly correlated with caregiver burden, anxiety and depression, with the top three neuropsychiatric predictors being depression, apathy and anxiety. Furthermore, higher levels of caregiver anxiety were associated with a longer duration of being a caregiver. Within caregivers, higher levels of depression were independently associated with higher numbers of additional caregivers, lower educational background and being the spouse of the patient. Higher levels of burden were associated with a longer duration of being a caregiver and being the spouse of the patient. Caregiver burden, anxiety or depression were not significantly correlated with hours/day of caring for the patient. CONCLUSIONS: Caregiver burden, anxiety and depression were significantly correlated with different neuropsychiatric symptoms in the Neuropsychiatric Inventory. RELEVANCE TO CLINICAL PRACTICE: Practitioners are able to identify caregivers at risk for burden, anxiety and depression. Understanding which Neuropsychiatric Inventory symptom is more closely associated with distress in caregivers will help practitioners to be more specific and effective in detecting caregiver distress.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».