Evidence map›Paper›PMID 37846217›Full record

ArticleInternational journal of serious games2023

Age and sex effects on Super G performance are consistent across internet devices.

Andrew Hooyman, Sydney Y Schaefer

Open access · diamondAbstract read
In one paragraph

Article in International journal of serious games, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Andrew HooymanSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Sydney Y SchaeferSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Arizona State University · US

Funding

Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI DAVID W COON · 2021 to 2026
$24.9M
Using an Online Video Game to Predict Functional and Cognitive Decline within the MindCrowd Electronic CohortF32AG071110 · NIA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI HOOYMAN, ANDREW · 2021 to 2024
$189k
NIA NIH HHS F32 AG071110NIA NIH HHS P30 AG072980
6 · The paper itself

Abstract

There have been recent advances in the application of online games that assess motor skill acquisition/learning and its relationship to age and biological sex, both of which are associated with dementia risk. While this online motor learning assessment (called Super G), along with other computer-based cognitive tests, was originally developed to be completed on a computer, many people (including older adults) have been shown to access the internet through a mobile device. Thus, to improve the generalizability of our online motor skill learning game, it must not only be compatible with mobile devices but also yield replicable effects of various participant characteristics on performance relative to the computer-based version. It is unknown if age and sex differentially affect game performance as a function of device type (keyboard versus touchscreen control). Thus, the purpose of this study was to investigate if device type modifies the established effects of age and sex on performance. Although there was a main effect of device on performance, this effect did not alter the overall relationship between performance vs. age or sex. This establishes that Super G can now effectively be extended to both computer and mobile platforms to further test for dementia risk factors.

Indexed as

AgingComputer GameDementiaMobile GameMotor PerformanceSex

Identifiers

PMID37846217
PMCPMC10578419
OpenAlexW4379796098

What OpenQuestion holds

Textmetadata
LicenceTDM
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.