Evidence map›Paper›PMID 37252787›Full record

ArticleJMIR mHealth and uHealth2023

Reliability and Validity of Noncognitive Ecological Momentary Assessment Survey Response Times as an Indicator of Cognitive Processing Speed in People's Natural Environment: Intensive Longitudinal Study.

Raymond Hernandez, Claire Hoogendoorn, Jeffrey S Gonzalez, Haomiao Jin, Elizabeth A Pyatak, Donna Spruijt-Metz, Doerte U Junghaenel, Pey-Jiuan Lee, Stefan Schneider

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Examination of Total Hours of Volunteering or Informal Helping Among Older Adults and Risk of Future Functional Disability Using Data From a Large Panel Study.The American journal of occupational therapy : official publication of the American Occupational Therapy Association · 2026
    Article
  6. Quantifying Sleep-Wake Rhythms in the Hospital Environment with Digital Technologies.medRxiv : the preprint server for health sciences · 2025
    Article
  7. Article
  8. Review
  9. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Raymond HernandezCenter of Economic and Social Research, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0002-6761-9276
Claire HoogendoornFerkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, United States.ORCID 0000-0003-4526-1952
Jeffrey S GonzalezFerkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, United States.ORCID 0000-0002-8252-2077
Haomiao JinCenter of Economic and Social Research, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0001-8908-1959
Elizabeth A PyatakChan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0003-3280-8912
Donna Spruijt-MetzCenter of Economic and Social Research, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0002-3884-4300
Doerte U JunghaenelCenter of Economic and Social Research, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0002-7733-571X
Pey-Jiuan LeeCenter of Economic and Social Research, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0001-6163-2325
Stefan SchneiderCenter of Economic and Social Research, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0002-4562-0524
University of Southern California · USAlbert Einstein College of Medicine · US

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
Ambulatory Methods for Measuring Cognitive ChangeU2CAG060408 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHINCHILLI, VERNON M · 2018 to 2022
$14.9M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Testing early markers of cognitive decline and dementia derived from survey response behaviorsR01AG068190 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Doerte Ulrike Junghaenel, Stefan Schneider · 2020 to 2026
$4.8M
Function and Emotion in Everyday Life with Type 1 Diabetes: FEEL-T1DR01DK121298 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GONZALEZ, JEFFREY S, PYATAK, ELIZABETH F · 2019 to 2022
$3.2M
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1 TR001855NIA NIH HHS R01 AG068190NIA NIH HHS U2C AG060408NIDDK NIH HHS P30 DK111022NIDDK NIH HHS R01 DK121298
6 · The paper itself

Abstract

backgroundVarious populations with chronic conditions are at risk for decreased cognitive performance, making assessment of their cognition important. Formal mobile cognitive assessments measure cognitive performance with greater ecological validity than traditional laboratory-based testing but add to participant task demands. Given that responding to a survey is considered a cognitively demanding task itself, information that is passively collected as a by-product of ecological momentary assessment (EMA) may be a means through which people's cognitive performance in their natural environment can be estimated when formal ambulatory cognitive assessment is not feasible. We specifically examined whether the item response times (RTs) to EMA questions (eg, mood) can serve as approximations of cognitive processing speed.

objectiveThis study aims to investigate whether the RTs from noncognitive EMA surveys can serve as approximate indicators of between-person (BP) differences and momentary within-person (WP) variability in cognitive processing speed.

methodsData from a 2-week EMA study investigating the relationships among glucose, emotion, and functioning in adults with type 1 diabetes were analyzed. Validated mobile cognitive tests assessing processing speed (Symbol Search task) and sustained attention (Go-No Go task) were administered together with noncognitive EMA surveys 5 to 6 times per day via smartphones. Multilevel modeling was used to examine the reliability of EMA RTs, their convergent validity with the Symbol Search task, and their divergent validity with the Go-No Go task. Other tests of the validity of EMA RTs included the examination of their associations with age, depression, fatigue, and the time of day.

resultsOverall, in BP analyses, evidence was found supporting the reliability and convergent validity of EMA question RTs from even a single repeatedly administered EMA item as a measure of average processing speed. BP correlations between the Symbol Search task and EMA RTs ranged from 0.43 to 0.58 (P<.001). EMA RTs had significant BP associations with age (P<.001), as expected, but not with depression (P=.20) or average fatigue (P=.18). In WP analyses, the RTs to 16 slider items and all 22 EMA items (including the 16 slider items) had acceptable (>0.70) WP reliability. After correcting for unreliability in multilevel models, EMA RTs from most combinations of items showed moderate WP correlations with the Symbol Search task (ranged from 0.29 to 0.58; P<.001) and demonstrated theoretically expected relationships with momentary fatigue and the time of day. The associations between EMA RTs and the Symbol Search task were greater than those between EMA RTs and the Go-No Go task at both the BP and WP levels, providing evidence of divergent validity.

conclusionsAssessing the RTs to EMA items (eg, mood) may be a method of approximating people's average levels of and momentary fluctuations in processing speed without adding tasks beyond the survey questions.

Indexed as

Ecological Momentary AssessmentProcessing SpeedAdultFatigueHumansLongitudinal StudiesReaction TimeReproducibility of ResultsSurveys and Questionnairesambulatory assessmentchronic illnesscognitive performanceecological momentary assessmentmHealthmobile healthmobile phoneparadataprocessing speedsmartphonesurvey response timestype 1 diabetes

Identifiers

PMID37252787
PMCPMC10265432
OpenAlexW4367281942

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.