Evidence map›Paper›PMID 35236903›Full record

ArticleScientific reports2022

Microbiome and metabolome profiles of high screen time in a cohort of healthy college students.

Paniz Jasbi, Alex E Mohr, Xiaojian Shi, Tara Mahmood, Qiyun Zhu, Meg Bruening, Haiwei Gu, Corrie Whisner

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
3.6field-weighted citation impact, top 7% 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, 20 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Paniz Jasbi *College of Health Solutions, Arizona State University, Phoenix, AZ, USA.
Alex E Mohr *College of Health Solutions, Arizona State University, Phoenix, AZ, USA.
Xiaojian ShiCollege of Health Solutions, Arizona State University, Phoenix, AZ, USA.
Tara MahmoodCollege of Health Solutions, Arizona State University, Phoenix, AZ, USA.
Qiyun ZhuSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.
Meg BrueningCollege of Health Solutions, Arizona State University, Phoenix, AZ, USA.
Haiwei GuCollege of Health Solutions, Arizona State University, Phoenix, AZ, USA. hgu@fiu.edu.
Corrie WhisnerCollege of Health Solutions, Arizona State University, Phoenix, AZ, USA. cwhisner@asu.edu.
Arizona State University · USTexas A&M University · USYale University · US

Funding

The Role of Friendship Networks on BMI and Behaviors among College FreshmenDP5OD017910 · OD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI BRUENING, MEREDITH M · 2013 to 2017
$1.9M
NIH HHS DP5 OD017910Office of Extramural Research, National Institutes of Health 1DP5OD017910
6 · The paper itself

Abstract

As screens are increasingly integrated into every facet of modern life, there is growing concern over the potential effects of high screen time. Previous studies have largely utilized self-report data on mood and behavioral aspects of screen time, and no molecular theory has yet been developed. In this study, we explored the fecal microbiome and metabolome of a diverse group of 60 college students, classified by high (≥ 75 min/day) or low (0-75 min/day) self-reported screen time using 16S rRNA amplicon sequencing, targeted liquid chromatography-tandem mass spectrometry, and targeted detection of short-chain fatty acids using gas chromatography-mass spectrometry. Several key taxa and metabolites were significantly altered between groups and found to be highly co-occurrent. Results of pathway and enzyme enrichment analyses were synthesized to articulate an integrated hypothesis indicating widespread mitochondrial dysfunction and aberrant amino acid metabolism. High screen time was also predicted to be significantly associated with type I diabetes, obesity, chronic fatigue syndrome, and various manifestations of inflammatory bowel. This is the first-ever study to report the effects of high screen time at the molecular level, and these results provide a data-driven hypothesis for future experimental research.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaFecesHumansMetabolomeRNA, Ribosomal, 16SScreen TimeStudentsRNA, Ribosomal, 16S

Identifiers

PMID35236903
PMCPMC8891328
OpenAlexW4220693417

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.