Evidence map›Paper›PMID 36814416›Full record

ArticleJournal of sleep research2023

Using a frequentist and Bayesian approach to examine video game usage, substance use, and sleep among college students.

Justin Asbee, Danica Slavish, Daniel J Taylor, Jessica R Dietch

Open access · greenAbstract read
In one paragraph

Article in Journal of sleep research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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

4 authors at 3 institutions in 1 country.

Justin AsbeeUniversity of North Texas, Denton, Texas, USA.ORCID 0000-0002-8210-5855
Danica SlavishUniversity of North Texas, Denton, Texas, USA.ORCID 0000-0002-1924-4895
Daniel J TaylorThe University of Arizona Tucson, Arizona, USA.ORCID 0000-0003-3433-2516
Jessica R DietchOregon State University, Corvallis, Oregon, USA.ORCID 0000-0001-9434-0791
University of North Texas · USOregon State University · USUniversity of Arizona · US

Funding

Supplement to sleep health intervention for shift workersK23HL157698 · NHLBI · OREGON STATE UNIVERSITY · PI Jessica R Dietch · 2022 to 2026
$1.1M
NHLBI NIH HHS K23 HL157698
6 · The paper itself

Abstract

Video games are a popular form of entertainment. However, there is mixed evidence for the association between video game usage and poor sleep quality, short sleep duration, or delayed sleep timing. The current study examined associations between daily sleep behaviours and video game usage via a Bayesian and frequentist statistical approach. Caffeine and alcohol consumption were also assessed as moderators, as these behaviours may co-occur with video game usage and poor sleep. 1032 (72% female) undergraduate students were recruited between 2006-2007. Participants completed questionnaires examining video game and substance use, as well as sleep diaries for 1 week. Frequentist analyses revealed that video game usage was related to increased variability in the total sleep time, and a later average sleep midpoint, but not sleep efficiency. Alcohol use moderated the relationships between video game usage and both average and variability in total sleep time. Caffeine use was related to shorter average total sleep time and more variability in sleep efficiency. Alcohol consumption was related to more variability in the total sleep time and sleep midpoint, and a later average sleep midpoint. Bayesian models suggested strong evidence that video game playing was associated with later average sleep midpoint. Like the frequentist approach, alcohol consumption moderated the relationship between video game usage and both average and variability in total sleep time, but the evidence was weak. The effect sizes for both approaches tended to be small. Using a rigorous statistical approach and a large sample, this study provides robust evidence that video game usage may not be strongly associated with poor sleep among undergraduate students.

Indexed as

Sleep Initiation and Maintenance DisordersSubstance-Related DisordersVideo GamesBayes TheoremCaffeineFemaleHumansMaleStudentsSurveys and QuestionnairesCaffeinealcoholBayesiancaffeinefrequentistsleepvideo games

Identifiers

PMID36814416
PMCPMC10442460
OpenAlexW4321600240

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.