Evidence map›Paper›PMID 35532966›Full record

ArticleJournal of medical Internet research2022

Self-administered Web-Based Tests of Executive Functioning and Perceptual Speed: Measurement Development Study With a Large Probability-Based Survey Panel.

Ying Liu, Stefan Schneider, Bart Orriens, Erik Meijer, Jill E Darling, Tania Gutsche, Margaret Gatz

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

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  6. Visual-Motor Integration (VMI) Is Also Relevant for Computer, Smartphone, and Tablet Use by Adults: Introducing the Brief Box Clicking Test.The American journal of occupational therapy : official publication of the American Occupational Therapy Association · 2024
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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

7 authors at 1 institution in 1 country.

Ying Liu *Center for Economic and Social Research, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0002-1101-0269
Stefan Schneider *Center for Economic and Social Research, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0002-4562-0524
Bart OrriensCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0002-1304-7735
Erik MeijerCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0001-7959-4670
Jill E DarlingCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0002-5230-2567
Tania GutscheCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0003-4047-7287
Margaret GatzCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0002-1071-9970
University of Southern California · US

Funding

Enhancing engagement and participation of marginalized community residents in the UASU01AG077280 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Arie Kapteyn · 2023 to 2026
$50.9M
Toward Next Generation Data on Health and Life Changes at Older Ages: Administrative Supplement to track the effects of the COVID-19 pandemic on American familiesU01AG054580 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KAPTEYN, ARIE · 2017 to 2022
$27.3M
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
NIA NIH HHS R01 AG068190NIA NIH HHS U01 AG054580NIA NIH HHS U01 AG077280
6 · The paper itself

Abstract

backgroundCognitive testing in large population surveys is frequently used to describe cognitive aging and determine the incidence rates, risk factors, and long-term trajectories of the development of cognitive impairment. As these surveys are increasingly administered on internet-based platforms, web-based and self-administered cognitive testing calls for close investigation.

objectiveWeb-based, self-administered versions of 2 age-sensitive cognitive tests, the Stop and Go Switching Task for executive functioning and the Figure Identification test for perceptual speed, were developed and administered to adult participants in the Understanding America Study. We examined differences in cognitive test scores across internet device types and the extent to which the scores were associated with self-reported distractions in everyday environments in which the participants took the tests. In addition, national norms were provided for the US population.

methodsData were collected from a probability-based internet panel representative of the US adult population-the Understanding America Study. Participants with access to both a keyboard- and mouse-based device and a touch screen-based device were asked to complete the cognitive tests twice in a randomized order across device types, whereas participants with access to only 1 type of device were asked to complete the tests twice on the same device. At the end of each test, the participants answered questions about interruptions and potential distractions that occurred during the test.

resultsOf the 7410 (Stop and Go) and 7216 (Figure Identification) participants who completed the device ownership survey, 6129 (82.71% for Stop and Go) and 6717 (93.08% for Figure Identification) participants completed the first session and correctly responded to at least 70% of the trials. On average, the standardized differences across device types were small, with the absolute value of Cohen d ranging from 0.05 (for the switch score in Stop and Go and the Figure Identification score) to 0.13 (for the nonswitch score in Stop and Go). Poorer cognitive performance was moderately associated with older age (the absolute value of r ranged from 0.32 to 0.61), and this relationship was comparable across device types (the absolute value of Cohen q ranged from 0.01 to 0.17). Approximately 12.72% (779/6123 for Stop and Go) and 12.32% (828/6721 for Figure Identification) of participants were interrupted during the test. Interruptions predicted poorer cognitive performance (P<.01 for all scores). Specific distractions (eg, watching television and listening to music) were inconsistently related to cognitive performance. National norms, calculated as weighted average scores using sampling weights, suggested poorer cognitive performance as age increased.

conclusionsCognitive scores assessed by self-administered web-based tests were sensitive to age differences in cognitive performance and were comparable across the keyboard- and touch screen-based internet devices. Distraction in everyday environments, especially when interrupted during the test, may result in a nontrivial bias in cognitive testing.

Indexed as

Cognitive DysfunctionHumansInternetNeuropsychological TestsProbabilitySurveys and Questionnairescognitive testsexecutive functioninternetmobile phoneprobability-basedresponse speedself-administered testweb-based

Identifiers

PMID35532966
PMCPMC9127643
OpenAlexW4229376722

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.