Literature DB >> 11094393

Cognitive decline affects subject attrition in longitudinal research.

B E Levin1, H L Katzen, B Klein, M L Llabre.   

Abstract

We evaluated prospectively 210 patients with idiopathic Parkinson's disease (PD) to determine whether cognitive deterioration and disease disability affect subject drop out. Subjects who refused to return for follow-up testing had a greater degree of bradykinesia and overall disability, more advanced disease, fewer years of education and greater depressive symptomatology. However, discriminant analysis indicated that performance on the neuropsychological measures, rather than PD severity, significantly predicted whether patients return for follow-up testing. Our findings indicate that cognitive impairment uniquely contributes to subject attrition, which may distort dementia estimates in PD.

Entities:  

Mesh:

Year:  2000        PMID: 11094393     DOI: 10.1076/1380-3395(200010)22:5;1-9;FT580

Source DB:  PubMed          Journal:  J Clin Exp Neuropsychol        ISSN: 1380-3395            Impact factor:   2.475


  6 in total

1.  Type and severity of cognitive decline in older adults after noncardiac surgery.

Authors:  Catherine C Price; Cynthia W Garvan; Terri G Monk
Journal:  Anesthesiology       Date:  2008-01       Impact factor: 7.892

2.  Predictors of Attrition in Longitudinal Neuroimaging Research: Inhibitory Control, Head Movement, and Resting-State Functional Connectivity.

Authors:  Jonathan P Stange; Lisanne M Jenkins; Katie L Bessette; Leah R Kling; John S Bark; Robert Shepard; Elissa J Hamlat; Sophie DelDonno; K Luan Phan; Alessandra M Passarotti; Olusola Ajilore; Scott A Langenecker
Journal:  Brain Connect       Date:  2018-11

3.  Characterizing Magnitude and Selectivity of Attrition in a Study of Mild Cognitive Impairment.

Authors:  D Facal; O Juncos-Rabadán; J Guardia-Olmos; A X Pereiro; C Lojo-Seoane
Journal:  J Nutr Health Aging       Date:  2016       Impact factor: 4.075

4.  A practical approach to remote longitudinal follow-up of Parkinson's disease: the FOUND study.

Authors:  Caroline M Tanner; Cheryl C Meng; Bernard Ravina; Anthony Lang; Roger Kurlan; Kenneth Marek; David Oakes; John Seibyl; Emily Flagg; Lisa Gauger; Dolores D Guest; Christopher G Goetz; Karl Kieburtz; Diane DiEuliis; Stanley Fahn; Robin A Elliott; Ira Shoulson
Journal:  Mov Disord       Date:  2014-02-11       Impact factor: 10.338

5.  Predictors of refusal to participate: a longitudinal health survey of the elderly in Australia.

Authors:  Patricia A Jacomb; Anthony F Jorm; Ailsa E Korten; Helen Christensen; A Scott Henderson
Journal:  BMC Public Health       Date:  2002-03-13       Impact factor: 3.295

6.  Characterizing healthy samples for studies of human cognitive aging.

Authors:  David S Geldmacher; Bonnie E Levin; Clinton B Wright
Journal:  Front Aging Neurosci       Date:  2012-09-12       Impact factor: 5.750

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.