Intra-individual variability in cognitive performance predicts functional decline in Parkinson's disease

被引:6
|
作者
Davis, Jeremy J. J. [1 ,5 ]
Sivaramakrishnan, Anjali [2 ]
Rolin, Summer [3 ]
Subramanian, Sandeep [2 ,3 ,4 ]
机构
[1] UT Hlth San Antonio, Glenn Biggs Inst Alzheimers & Neurodegenerat Dis, Dept Neurol, San Antonio, TX USA
[2] UT Hlth San Antonio, Dept Phys Therapy, San Antonio, TX USA
[3] UT Hlth San Antonio, Long Sch Med, Dept Rehabil Med, San Antonio, TX USA
[4] UT Hlth San Antonio, Dept Phys Assistant Studies, San Antonio, TX USA
[5] Dept Neurol, MSC 7883,7703 Floyd Curl Dr, San Antonio, TX 78229 USA
关键词
Cognition; function; intraindividual variability; Parkinson's disease; REACTION-TIME; NEUROCOGNITIVE SPEED; ALZHEIMERS-DISEASE; OLDER-ADULTS; DYSFUNCTION; AGE; INCONSISTENCY; DEMENTIA;
D O I
10.1080/23279095.2022.2157276
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BackgroundCognitive deficits contribute to disability in Parkinson's disease (PD). Cognitive intra-individual variability (IIV) is associated with cognitive decline in age-related disorders, but IIV has not been related to functional ability in PD. We examined IIV in predicting functional ability in participants with PD.MethodsDe-identified National Alzheimer's Coordinating Center data (N = 1,228) from baseline and follow-up visits included participants with PD propensity score matched to control participants at baseline on age (M = 72), education (M = 15), and gender (28% female). PD symptom duration averaged 6 years. Outcome measures included the Functional Ability Questionnaire (FAQ), overall test battery mean (OTBM) of ten cognitive variables, IIV calculated as the standard deviation of cognitive data for each participant, Geriatric Depression Scale (GDS), and Unified PD Rating Scale gait and posture items. Baseline FAQ status in the PD group was predicted using logistic regression with age, education, cognition, GDS, and motor function as predictors. We compared baseline characteristics of PD participants with and without functional impairment at follow up.ResultsPD participants showed lower OTBM and greater IIV, GDS, and motor dysfunction than controls (p < .0001). Education, OTBM, IIV, GDS, and gait predicted functional status (77% overall classification; AUC = .84). PD participants with functional impairment at follow up showed significantly lower OTBM and greater IIV, GDS, and motor dysfunction at baseline (p < .001).ConclusionIIV independently predicts functional status in participants with PD while controlling for other variables. PD participants with functional impairment at follow up showed greater IIV than those without functional impairment at follow up.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] EVIDENCE FOR RELIABLE INDIVIDUAL DIFFERENCES IN INTRA-INDIVIDUAL VARIABILITY
    CARRON, AV
    BAILEY, DA
    [J]. PERCEPTUAL AND MOTOR SKILLS, 1969, 28 (03) : 843 - &
  • [42] Cognitive inconsistency in bipolar patients is determined by increased intra-individual variability in initial phase of task performance
    Krukow, Pawel
    Szaniawska, Ola
    Harciarek, Michal
    Plechawska-Wojcik, Malgorzata
    Jonak, Kamil
    [J]. JOURNAL OF AFFECTIVE DISORDERS, 2017, 210 : 222 - 225
  • [43] Olfactory Function Predicts Cognitive Deficits and Decline in Early Parkinson's Disease
    Fullard, Michelle
    Tran, Baochan
    Xie, Sharon
    Scordia, Christi
    Linder, Carly
    Purri, Rachael
    Weintraub, Daniel
    Duda, John
    Chahine, Lama
    Morley, James
    [J]. NEUROLOGY, 2016, 86
  • [44] The Relationship of Intra-Individual Release Variability with Distance and Shooting Performance in Basketball
    Slegers, Nathan
    Lee, Davin
    Wong, Grant
    [J]. JOURNAL OF SPORTS SCIENCE AND MEDICINE, 2021, 20 (03) : 508 - 515
  • [45] Intra-individual cognitive variability in neuropsychological assessment: a sign of neural network dysfunction
    Lin, Shayne S-H
    McDonough, Ian M.
    [J]. AGING NEUROPSYCHOLOGY AND COGNITION, 2022, 29 (03) : 375 - 399
  • [46] Intra-Individual Reaction Time Variability in Mild Cognitive Impairment and Alzheimer's Disease: Gender, Processing Load and Speed Factors
    Phillips, Michelle
    Rogers, Peter
    Haworth, Judy
    Bayer, Antony
    Tales, Andrea
    [J]. PLOS ONE, 2013, 8 (06):
  • [47] Intra-Individual Variability in Traumatic Brain Injury and Questionable Performance Validity
    Davis, J.
    Mullen, C.
    Kurniadi, N.
    Andren, Kitchen K.
    Rolin, S.
    [J]. ARCHIVES OF CLINICAL NEUROPSYCHOLOGY, 2020, 35 (06) : 915 - 915
  • [48] Cognitive decline in Parkinson's disease
    Tan, L. C. S.
    Narasimhalu, K.
    Lau, P. -N.
    Seah, I. S. H.
    Au, W. -L.
    Kandiah, N.
    [J]. MOVEMENT DISORDERS, 2008, 23 (01) : S97 - S97
  • [49] Dispersion-Based Cognitive Intra-Individual Variability in Dementia With Lewy Bodies
    Webber, Troy A.
    Kiselica, Andrew M.
    Mikula, Cynthia
    Woods, Steven P.
    [J]. NEUROPSYCHOLOGY, 2022, 36 (08) : 719 - 729
  • [50] Intra-individual variability in information processing reaction time is a cognitive biomarker of MS
    Kasschau, M.
    Song, G.
    Shaw, M.
    Porter, M.
    Charvet, L.
    [J]. MULTIPLE SCLEROSIS JOURNAL, 2016, 22 : 732 - 732