Evidence map›Paper›PMID 32318000›Full record

ArticleFrontiers in psychology2020

Attitudes and Beliefs Toward Computerized Cognitive Training in the General Population.

Vina M Goghari, Daniel Krzyzanowski, Sharon Yoon, Yanni Dai, Deanna Toews

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

5 authors at 2 institutions in 1 country.

Vina M GoghariDepartment of Psychology, University of Toronto Scarborough, Toronto, ON, Canada.
Daniel KrzyzanowskiDepartment of Psychology, University of Toronto Scarborough, Toronto, ON, Canada.
Sharon YoonDepartment of Psychology, University of Toronto Scarborough, Toronto, ON, Canada.
Yanni DaiDepartment of Psychology, University of Toronto Scarborough, Toronto, ON, Canada.
Deanna ToewsDepartment of Psychology, University of Toronto Scarborough, Toronto, ON, Canada.
University of Toronto · CAThe Scarborough Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn recent years, computerized cognitive training (CCT) programs have been developed commercially for widespread public consumption. Despite early enthusiasm, whether these programs enhance cognitive abilities in healthy adults is a contentious area of investigation. Given the mixed findings in the literature, researchers are beginning to investigate how beliefs and attitudes toward CCT impact motivation, expectations, and gains after cognitive training.

methodWe collected survey data from 497 North American participants from Amazon's Mechanical Turk (MTurk). This survey asked novel questions regarding respondents' beliefs about the effectiveness of CCT for improving different domains of cognition, mood, and daily life; beliefs about whether CCT programs are supported by research; and whether impressions of CCT have improved or worsened over time. Exploratory analyses are reported descriptively, while parametric tests were used to analyze

resultsAlmost half of the surveyed participants had used CCT, and respondents with a self-reported psychological or neurological disorder were more likely to have used CCT platforms than participants without such conditions. Motivations for using CCT included curiosity; to improve or maintain cognition; to prevent cognitive decline; and/or for enjoyment or fun. Participants believed that CCT is

conclusionOur study suggests the need for future research regarding the general population's beliefs and attitudes toward CCT, along with knowledge translation for relevant stakeholders.

Indexed as

attitudescognitive trainingexpectationsmotivationpsychological factorspublic opinion

Identifiers

PMID32318000
PMCPMC7147517
OpenAlexW3014249774

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.