Mood and behavioral problems are important predictors of quality of life of nursing home residents with moderate to severe dementia

Autor: Maarten Milders, I. M. Nauta, Marinda Henskens, Erik J. A. Scherder, Katja T. Drost, Susan Vrijkotte
Přispěvatelé: Physiotherapy, Human Physiology and Anatomy, Human Physiology and Sports Physiotherapy Research Group, Neurology
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Male
Quality of Life/psychology
Activities of daily living
Cross-sectional study
Emotions
Nursing Homes/statistics & numerical data
Social Sciences
Severity of Illness Index
0302 clinical medicine
Mathematical and Statistical Techniques
Cognition
Activities of Daily Living
Affect/physiology
Medicine and Health Sciences
Psychology
Apathy
030212 general & internal medicine
Social isolation
Cognition/physiology
Cognitive Impairment
Multidisciplinary
Cognitive Neurology
Statistics
Neurology
Social Isolation
Physical Sciences
depression
Medicine
Regression Analysis
Female
medicine.symptom
Clinical psychology
Research Article
Science
Cognitive Neuroscience
Problem Behavior/psychology
Research and Analysis Methods
03 medical and health sciences
Quality of life (healthcare)
Mental Health and Psychiatry
mental disorders
medicine
Dementia
Humans
Statistical Methods
Aged
Problem Behavior
Behavior
Behavioral Disorders
business.industry
Mood Disorders
Depressive disorder
Dementia/psychology
Biology and Life Sciences
medicine.disease
Nursing Homes
Health Care
Affect
Mood
Cross-Sectional Studies
Mood disorders
Forecasting/methods
Quality of Life
Cognitive Science
business
aged
80 and over
030217 neurology & neurosurgery
Mathematics
Neuroscience
Forecasting
Zdroj: Henskens, M, Nauta, I M, Vrijkotte, S, Drost, K T, Milders, M V & Scherder, E J A 2019, ' Mood and behavioral problems are important predictors of quality of life of nursing home residents with moderate to severe dementia : A cross-sectional study ', PLoS ONE, vol. 14, no. 12, e0223704 . https://doi.org/10.1371/journal.pone.0223704
PLoS ONE, 14(12):e0223704. Public Library of Science
PLoS ONE
PLoS ONE, Vol 14, Iss 12, p e0223704 (2019)
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0223704
Popis: ObjectivesTo examine the predictors associated with quality of life of nursing home residents with dementia, in order to identify which predictors are most important and hold most promise for future intervention studies.Methods/designThis cross-sectional analysis of data collected in two intervention trials included 143 participants with moderate to severe dementia who resided in 40 psychogeriatric wards in 13 nursing homes. The outcome measure quality of life was assessed with the Qualidem. Predictors examined were demographic factors, cognition, mood, behavioral problems, and comorbid conditions.ResultsLinear mixed regression analyses showed that all nine domains of quality of life showed independent (negative) associations with either depression, agitation, apathy, or a combination of these predictors. Agitation, apathy, depression, and the presence of neurological disease explained 50% of the variance in total quality of life. Male gender, psychiatric/mood disorders, and having one or more comorbid conditions was associated with worse social relations, while the presence of comorbid neurological diseases was associated with more social isolation and a worse care relationship. The presence of endocrine/metabolic disorders and pulmonary disorders was associated with less restless tense behavior.ConclusionsDifferent domains of quality of life showed different associations, confirming the multidimensionality of quality of life in nursing home residents with dementia. Quality of life is independently associated with mood and behavioral problems, comorbid conditions, and gender. This knowledge may help to identify older persons at risk of a lower quality of life, and to offer targeted interventions to improve quality of life.Trial registrationDutch Trial registration NTR5641.
Databáze: OpenAIRE
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