The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Predictors of Nursing Home Placement in Parkinson's Disease: A Population‐Based, Prospective Study
Abstract
OBJECTIVES : To examine the rate and predictors of nursing home placement in patients with Parkinson's disease. DESIGN : Four‐year prospective study. SETTING : A population‐based study in western Norway PARTICIPANTS : 178 community‐dwelling subjects with Parkinson's disease. MEASUREMENTS : Main outcome measure was the time from baseline to nursing home admission. Baseline evaluation of motor symptoms (Unified Parkinson's Disease Rating Scale, UPDRS), cognition (clinical dementia interview, Gottfries, Bråne & Steen dementia scale, and Mini‐Mental State Examination), depression (clinical interview and the Montgomery & Åsberg Depression Rating Scale), and psychotic symptoms (UPDRS Thought Disorder item) were performed. RESULTS : Forty‐seven patients (26.4%) were admitted to a nursing home during the 4‐year study period. Institutionalized patients were older, had more advanced Parkinson's disease with more severe motor symptoms and impairment of activities of daily living, were cognitively more impaired, were more often living alone, and had more hallucinations than those who continued to live at home. Duration of disease, levodopa dose, and gender distribution did not differ between the two groups. A Cox proportional hazards linear regression analysis showed that old age, functional impairment, dementia, and hallucinations were independent predictors of nursing home admission. CONCLUSIONS : Both motor and neuropsychiatric symptoms contributed to institutionalization, but the presence of hallucinations was the strongest predictor. This finding indicates it is possible that effective treatment of hallucinations may reduce the need for institutionalization in patients with Parkinson's disease. J Am Geriatr Soc 48:938–942, 2000 .
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“Parkinson disease (PD) is progressive, with dementia and medication-refractory motor problems common reasons for late-stage nursing-home placement.”
From Does vigorous exercise have a neuroprotective effect in Parkinson disease? (2011) · cites this paper as [1]
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Metadata
- Authors
- Aarsland, D., Larsen, J. P., Tandberg, E., & Laake, K.
- Affiliations
- Stavanger University Hospital (NO)
- Oslo University Hospital (NO)
- Corresponding author
- Aarsland, Dag
- ORCID
- Aarsland, Dag
- Venue
- Journal of the American Geriatrics Society
- Publisher
- Wiley
- Published
- 2000-08
- Volume
- 48
- Issue
- 8
- Pages
- 938-942
- ISSN
- 0002-8614 (ISSN-L)
- 1532-5415
- OpenAlex
- W2083220625
- Cited by
- 811
- References
- 21
- Citations by year
- 2026: 15 · 2025: 30 · 2024: 30 · 2023: 33 · 2022: 33 · 2021: 42 · 2020: 64 · 2019: 36 · 2018: 35 · 2017: 36 · 2016: 37 · 2015: 32 · 2014: 42 · 2013: 42 · 2012: 33
- FWCI
- 7.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the American Geriatrics Society (publishedVersion)
- PubMed (publishedVersion)
- Journal of the American Geriatrics Society
- Topics
- Health Sciences › Medicine › Clinical Neurology › Parkinson's Disease Mechanisms and Treatments
- Health Sciences › Medicine › Geriatrics and Gerontology › Geriatric Care and Nursing Homes
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Parkinson's disease, nursing home admission, institutionalization, predictors of institutionalization, hallucinations, dementia, functional disability, activities of daily living, motor symptoms, neuropsychiatric symptoms, depression, community-dwelling patients
- MeSH terms
- Activities of Daily Living, Adult, Aged, Aged, 80 and over, Dementia, Female, Hallucinations, Humans, Male, Middle Aged, Norway, Nursing Homes, Parkinson Disease, Patient Admission, Predictive Value of Tests, Prospective Studies, Psychiatric Status Rating Scales, Risk Factors, Severity of Illness Index, Geriatric Assessment, Linear Models, Proportional Hazards Models, Age Distribution, Community Health Planning
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