Evidence map›Paper›PMID 30541450›Full record

ArticleBMC microbiology2018

Diet, physical activity and screen time but not body mass index are associated with the gut microbiome of a diverse cohort of college students living in university housing: a cross-sectional study.

Corrie M Whisner, Juan Maldonado, Brandon Dente, Rosa Krajmalnik-Brown, Meg Bruening

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 6 pooled it
1.8field-weighted citation impact, top 14% 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

43 citing papers in PubMed, 6 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. Pooled it
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  5. Diet, adiposity, and the gut microbiota from infancy to adolescence: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
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  15. Applied physiology: gut microbiota and antimicrobial therapy.European journal of applied physiology · 2024
    Review
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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

5 authors at 1 institution in 1 country.

Corrie M WhisnerCollege of Health Solutions, Arizona State University, Phoenix, AZ, USA. cwhisner@asu.edu.ORCID 0000-0003-3888-6348
Juan MaldonadoCenter for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Brandon DenteCollege of Health Solutions, Arizona State University, Phoenix, AZ, USA.
Rosa Krajmalnik-BrownCenter for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Meg BrueningCollege of Health Solutions, Arizona State University, Phoenix, AZ, USA.
Arizona State University · US

Funding

Integrating quantitative energetics determines the microbiome's contribution to energy balanceR01DK105829 · NIDDK · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI KRAJMALNIK-BROWN, ROSA, SMITH, STEVEN RICHARD · 2016 to 2020
$3.5M
Role of Human Intestinal Microbiota on Success of Surgical Weight Loss ProceduresR01DK090379 · NIDDK · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI DIBAISE, JOHN K., KRAJMALNIK-BROWN, ROSA · 2011 to 2014
$1.9M
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
NIDDK NIH HHS R01 DK090379NIDDK NIH HHS R01 DK105829NIH HHS DP5 OD017910
6 · The paper itself

Abstract

backgroundModifiable lifestyle factors (e.g. dietary intake and physical activity) are important contributors to weight gain during college. The purpose of this study was to evaluate whether associations exist between body mass index, physical activity, screen time, dietary consumption (fat, protein, carbohydrates, and fiber), and gut microbial diversity during the first year of college. Racially/ethnically diverse college students (n = 82; 61.0% non-white) at a large Southwestern university completed self-reported physical activity and 24-h recall dietary assessments, height and weight measurements, and provided one fecal sample for gut microbiome analysis. Fecal microbial community composition was assessed with Illumina MiSeq next-generation sequencing of PCR amplified 16S rRNA genes. Post-hoc analyses compared microbial diversity by groups of high and low physical activity and fiber intake using QIIME and LEfSe bioinformatics software.

resultsNo statistically significant differences were observed between body mass index and gut microbiome abundance and diversity. Median daily consumption of dietary fiber was 11.2 (7.6, 14.9) g/d, while the median self-reported moderate-to-vigorous physical activity (MVPA) was 55.7 (27.9, 79.3) min/d and screen time 195.0 (195.0, 315.0) min/d. Microbial analysis by LEfSe identified Paraprevotellaceae, Lachnospiraceae, and Lachnospira as important phylotypes in college students reporting greater MVPA, while Enterobacteriaceae and Enterobacteriales were more enriched among students reporting less MVPA (p < 0.05). Barnesiellaceae, Alphaproteobacteria, and Ruminococcus were more abundant taxa among those consuming less than the median fiber intake (p < 0.05). Post-hoc analyses comparing weighted UniFrac distance metrics based on combined categories of high and low MVPA and fiber revealed that clustering distances between members of the high MVPA-low fiber group were significantly smaller when compared to distances between members of all other MVPA-fiber groups (p < 0.0001).

conclusionsHabitual fiber consumption and MVPA behaviors help explain the differential abundance of specific microbial taxa and overall gut microbial diversity differences in first-year college students.

Indexed as

Body Mass IndexGastrointestinal MicrobiomeScreen TimeAdolescentBacteriaCohort StudiesCross-Sectional StudiesDietDietary FiberExerciseFecesFemaleHousingHumansMalePhylogenyDietary FiberAdolescenceDietLifestyle behaviorsMicrobiomeMicrobiotaObesityPediatricPhysical activity

Identifiers

PMID30541450
PMCPMC6291939
OpenAlexW2903748251

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.