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| 001 | 154040 | ||
| 005 | 20230426103840.0 | ||
| 024 | 7 | _ | |a 10.1080/13803395.2020.1825634 |2 doi |
| 024 | 7 | _ | |a 0168-8634 |2 ISSN |
| 024 | 7 | _ | |a 1380-3395 |2 ISSN |
| 024 | 7 | _ | |a 1744-411X |2 ISSN |
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| 037 | _ | _ | |a DZNE-2021-00022 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Sulzer, Patricia |0 P:(DE-2719)2811919 |b 0 |e First author |
| 245 | _ | _ | |a A time-efficient screening tool for activities of daily living functions in Parkinson’s disease dementia |
| 260 | _ | _ | |a Abingdon |c 2020 |b Routledge, Taylor & Francis Group86092 |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1618914640_3881 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a InstructionIn Parkinson’s disease (PD), activities of daily living (ADL) impairments are crucial for diagnosis of dementia (PDD). Performance-based tests are promising tools to discriminate between different levels of cognitive impairment in PD; however, the value of those tests for diagnosis of PDD is only sparsely investigated. Therefore, we evaluated the Erlangen Test of Activities of Daily Living (E-ADL), a time-efficient performance-based ADL test, in PD.MethodIn this cross-sectional study, 40 PD patients with normal cognition (PD-NC), 45 patients with mild cognitive impairment (PD-MCI) and 21 patients with PDD were assessed with a comprehensive ADL and cognitive test battery.ResultsInterrater reliability (rs =.86) indicated high consistency of the standardized E-ADL scoring system between raters. The E-ADL correlated significantly with other tests of ADL functions (p <.01), highest with an alternative performance-based ADL test (rs = −.52), and lowest with self-ratings and a physician-rated scale. The E-ADL was also associated with cognitive impairment (p <.01), but also with motor impairment. A binary logistic regression model verified that the E-ADL (p =.04) was an independent predictor of PDD, in addition to motor impairment explaining 53.3% of variance. Receiver operating characteristic curve analysis of the E-ADL revealed an area under the curve of 0.78, a specificity of 77%, and a sensitivity of 67% for diagnosis PDD.ConclusionsThe standardized, easy, and quick to administer E-ADL showed acceptable levels of reliability, and validity in PD and measures cognitive-driven ADL functions. Therefore, it might be a suitable test to support diagnosis of PDD in the clinical daily routine. |
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| 588 | _ | _ | |a Dataset connected to CrossRef |
| 650 | _ | 2 | |a Activities of Daily Living: psychology |2 MeSH |
| 650 | _ | 2 | |a Aged |2 MeSH |
| 650 | _ | 2 | |a Aged, 80 and over |2 MeSH |
| 650 | _ | 2 | |a Cognitive Dysfunction: diagnosis |2 MeSH |
| 650 | _ | 2 | |a Cognitive Dysfunction: etiology |2 MeSH |
| 650 | _ | 2 | |a Cognitive Dysfunction: psychology |2 MeSH |
| 650 | _ | 2 | |a Cross-Sectional Studies |2 MeSH |
| 650 | _ | 2 | |a Dementia: diagnosis |2 MeSH |
| 650 | _ | 2 | |a Dementia: etiology |2 MeSH |
| 650 | _ | 2 | |a Dementia: psychology |2 MeSH |
| 650 | _ | 2 | |a Female |2 MeSH |
| 650 | _ | 2 | |a Humans |2 MeSH |
| 650 | _ | 2 | |a Male |2 MeSH |
| 650 | _ | 2 | |a Middle Aged |2 MeSH |
| 650 | _ | 2 | |a Motor Skills |2 MeSH |
| 650 | _ | 2 | |a Neuropsychological Tests |2 MeSH |
| 650 | _ | 2 | |a Parkinson Disease: complications |2 MeSH |
| 650 | _ | 2 | |a Parkinson Disease: diagnosis |2 MeSH |
| 650 | _ | 2 | |a Parkinson Disease: psychology |2 MeSH |
| 650 | _ | 2 | |a ROC Curve |2 MeSH |
| 650 | _ | 2 | |a Self Concept |2 MeSH |
| 650 | _ | 2 | |a Sensitivity and Specificity |2 MeSH |
| 700 | 1 | _ | |a Liebig, Luise |0 P:(DE-2719)9001471 |b 1 |u dzne |
| 700 | 1 | _ | |a Csoti, Ilona |b 2 |
| 700 | 1 | _ | |a Graessel, Elmar |b 3 |
| 700 | 1 | _ | |a Wurster, Isabel |0 P:(DE-2719)2812736 |b 4 |
| 700 | 1 | _ | |a Berg, Daniela |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Liepelt-Scarfone, Inga |0 P:(DE-2719)2109499 |b 6 |e Last author |
| 773 | _ | _ | |a 10.1080/13803395.2020.1825634 |g Vol. 42, no. 8, p. 867 - 879 |0 PERI:(DE-600)605982-X |n 8 |p 867 - 879 |t Journal of clinical and experimental neuropsychology |v 42 |y 2020 |x 1744-411X |
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