Association of physical activity with cognitive function, behavioral symptoms, and caregiver's burden in Chinese dementia patients
Notice bibliographique
Résumé
Introduction: \nDementia refers to impairments of memory and other cognitive functions with consequent decline in activities of daily living. Besides cognitive symptoms, demented patients can also exhibit behavioral and psychological symptoms of dementia (BPSD), which are stressors leading to family caregivers’ burden. Physical activity may give rise to benefits in cognitive function, and may reduce behavioral symptoms and caregivers’ burden. However, most previous studies were reported from Caucasian populations. There was no previous report on the relationship of physical activity in dementia patients on family caregiver’s burden in Hong Kong Chinese older adults. \n \nObjectives: \nThe objective of this study was to investigate the associations of physical activity level with cognitive function, behavioral and psychological symptoms and caregivers’ burden in dementia patients in Hong Kong Chinese population. \n \nMethod: \nThis was a cross-sectional study. 201 dementia patients who were screened by the inclusion and exclusion criteria were recruited from the Geriatric Clinic in Queen Mary Hospital, Hong Kong, from May 2013 to August 2013. Social demographic information and comorbid diseases information were collected from all subjects. Subjects were then assessed with the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Alzheimer’s Disease Cooperative Study Activities of Daily Living Inventory (ADCS-ADL), Physical Activity Scale for the Elderly (PASE), as well as Neuropsychiatric Inventory (NPI). Subjects’ family caregivers were assessed with Zarit Burden Interview (ZBI). \n \nMain outcome measures: \nThe outcome measures for the cognitive function were the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). The outcome measures for BPSD and caregiver’s burden were the Neuropsychiatric Inventory (NPI) and Zarit Burden Interview (ZBI), respectively. \n \nResults: \nWe screened a total of 239 subjects in the Geriatric Clinic of Queen Mary Hospital. 201 subjects (70 males and 131 females) were recruited. 38 participants were excluded according to the exclusion criteria. The score means (SD) of the recruited were: PASE =27.5 (23.9); ADCS-ADL=45.3 (14.5); MMSE=17.3 (5.4); MoCA=9.9 (5.3); NPI=9.5 (9.7); ZBI=33.3 (14.8). In bivariate analysis, the PASE score was significantly associated with the MMSE score (rho=0.259, p<0.001), the MoCA score (rho=0.311, p<0.001), the NPI score (rho=-0.225, p=0.001), and the ZBI score (rho=-0.253, p<0.001). In multivariate analyses, using general linear models, the PASE score was independently associated with the MMSE (F=5.57, p=0.001) and MoCA (F=7.10, p<0.001) scores, after adjusting for significant confounders in bivariate analyses (i.e. age, education and gender). The PASE was also independently associated with the NPI score (F=2.89, p=0.037). The PASE score was not an independent predictor of the ZBI score. However, the subjects’ ADCS-ADL score (F=15.65, p<0.001), and the NPI score (F=8.55, p=0.004) were independent predictors of the caregiver’s ZBI score.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 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) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».