Intraindividual variability in post-stroke cognition and its relationship with activities of daily living and social functioning: an ecological momentary assessment approach

被引:0
作者
Munsell, Elizabeth G. S. [1 ,2 ]
Bui, Quoc [3 ]
Kaufman, Katherine J. [1 ]
Tomazin, Stephanie E. [1 ]
Regan, Bridget A. [1 ]
Lenze, Eric J. [4 ]
Lee, Jin-Moo [5 ]
Mohr, David C. [6 ,7 ]
Fong, Mandy W. M. [8 ]
Metts, Christopher L. [9 ]
Pham, Vy [4 ]
Wong, Alex W. K. [1 ,10 ,11 ]
机构
[1] Shirley Ryan AbilityLab, Ctr Rehabil Outcomes Res, 355 E Erie St, Chicago, IL 60611 USA
[2] Northwestern Univ, Ctr Educ Hlth Sci, Feinberg Sch Med, Chicago, IL USA
[3] Washington Univ, Sch Med, Div Biostat, St. Louis, MO USA
[4] Washington Univ, Sch Med, Dept Psychiat, St. Louis, MO USA
[5] Washington Univ, Sch Med, Dept Neurol, St. Louis, MO USA
[6] Northwestern Univ, Ctr Behav Intervent Technol, Feinberg Sch Med, Chicago, IL USA
[7] Northwestern Univ, Feinberg Sch Med, Dept Prevent Med, Chicago, IL USA
[8] Michigan Ave Neuropsychologists, Chicago, IL USA
[9] Med Univ South Carolina, Dept Pathol & Lab Med, Charleston, SC USA
[10] Northwestern Univ, Dept Phys Med & Rehabil, Feinberg Sch Med, Chicago, IL USA
[11] Northwestern Univ, Feinberg Sch Med, Dept Med Social Sci, Chicago, IL USA
关键词
Stroke; cognitive rehabilitation; cognition; cognitive variability; ecological momentary assessment; remote assessment; mobile health; BATTERY NIHTB-CB; QUALITY-OF-LIFE; NEUROLOGICAL DISORDERS; EXECUTIVE FUNCTION; STROKE; IMPAIRMENT; PERFORMANCE; VALIDITY; NUMBER; SCALES;
D O I
10.1080/10749357.2024.2307203
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
IntroductionEcological momentary assessment (EMA) is a methodological approach to studying intraindividual variation over time. This study aimed to use EMA to determine the variability of cognition in individuals with chronic stroke, identify the latent classes of cognitive variability, and examine any differences in daily activities, social functioning, and neuropsychological performance between these latent classes.MethodsParticipants (N = 202) with mild-to-moderate stroke and over 3-month post-stroke completed a study protocol, including smartphone-based EMA and two lab visits. Participants responded to five EMA surveys daily for 14 days to assess cognition. They completed patient-reported measures and neuropsychological assessments during lab visits. Using latent class analysis, we derived four indicators to quantify cognitive variability and identified latent classes among participants. We used ANOVA and Chi-square to test differences between these latent classes in daily activities, social functioning, and neuropsychological performance.ResultsThe latent class analysis converged on a three-class model. The moderate and high variability classes demonstrated significantly greater problems in daily activities and social functioning than the low class. They had significantly higher proportions of participants with problems in daily activities and social functioning than the low class. Neuropsychological performance was not statistically different between the three classes, although a trend approaching statistically significant difference was observed in working memory and executive function domains.DiscussionEMA could capture intraindividual cognitive variability in stroke survivors. It offers a new approach to understanding the impact and mechanism of post-stroke cognitive problems in daily life and identifying individuals benefiting from self-regulation interventions.
引用
收藏
页码:564 / 575
页数:12
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