2019
DOI: 10.1371/journal.pone.0226409
|View full text |Cite
|
Sign up to set email alerts
|

Measuring within-day cognitive performance using the experience sampling method: A pilot study in a healthy population

Abstract: IntroductionPeople with depression, anxiety, or psychosis often complain of confusion, problems concentrating or difficulties cognitively appraising contextual cues. The same applies to people with neurodegenerative diseases or brain damage such as dementia or stroke. Assessments of those cognitive difficulties often occurs in cross-sectional and controlled clinical settings. Information on daily moment-to-moment cognitive fluctuations and its relation to affect and context is lacking. The development and eval… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

2
22
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
6
3

Relationship

2
7

Authors

Journals

citations
Cited by 28 publications
(24 citation statements)
references
References 51 publications
2
22
0
Order By: Relevance
“…Specifically, our results provide empirical evidence to support behavioral interventions that target daily social interactions as risk factors to improve cognitive health and reduce future risks for cognitive decline and ADRD. Using novel mobile technology, older adults’ daily social interactions and cognitive function could be closely monitored and enhanced by just-in-time adaptive interventions [ 37 ], which are designed to deliver highly personalized treatments in real time and in one’s natural environment [ 38 , 39 ]. Our time-lagged analyses demonstrated the timescales over which the predictive effects of different features of social interactions on cognitive performance may manifest and persist, thus pointing out the best time windows for effective behavioral interventions targeting these features of social interactions.…”
Section: Discussionmentioning
confidence: 99%
“…Specifically, our results provide empirical evidence to support behavioral interventions that target daily social interactions as risk factors to improve cognitive health and reduce future risks for cognitive decline and ADRD. Using novel mobile technology, older adults’ daily social interactions and cognitive function could be closely monitored and enhanced by just-in-time adaptive interventions [ 37 ], which are designed to deliver highly personalized treatments in real time and in one’s natural environment [ 38 , 39 ]. Our time-lagged analyses demonstrated the timescales over which the predictive effects of different features of social interactions on cognitive performance may manifest and persist, thus pointing out the best time windows for effective behavioral interventions targeting these features of social interactions.…”
Section: Discussionmentioning
confidence: 99%
“…This finding is in line with traditional neuropsychological assessments reporting a variety of cognitive deficits in MCI, of which memory is commonly most dominant [ 50 ]. A moderate level of fatigue has also been found in a healthy sample using the ESM [ 24 ] and may thus not be directly related to the cognitive deficits. To determine significant differences from healthy older adults, a control group is prospectively necessary.…”
Section: Discussionmentioning
confidence: 99%
“…The duration of 6 days was chosen to capture both weekdays and weekend days. This set-up was based on previous feasibility studies [ 23 , 24 ]. Beeps occurred unpredictably in semirandom time blocks of 112.5 minutes between 7:30 AM and 10:30 PM and were available to be filled in for 15 minutes after the beep.…”
Section: Methodsmentioning
confidence: 99%
“…Much of the extant work has focused on administering existing cognitive screens and neuropsychological tests via tele-conferencing [29,39,66,72,73] rather than exploring updated options, such as using well-validated experimental tasks in a clinical context. Looking into the future, incorporating data collected from wearables, smartphone apps, and/or other sensors may also provide a rich source of data for better detection and monitoring of cognitive [37,74] and mood symptoms in neurodegenerative diseases [75]. For example, if some cognitive domains can be reliably measured using web-based cognitive tasks with acceptable psychometric properties [28,[76][77][78], clinical practice can shift toward more remote monitoring of cognitive changes in memory or executive functioning, given that these domains are key factors in the loss of functional independence in neurodegenerative diseases [79].…”
Section: Principal Findingsmentioning
confidence: 99%