Evidence map›Paper›PMID 37988614›Full record

ArticleSleep2024

Associations of gut microbiome richness and diversity with objective and subjective sleep measures in a population sample.

Elizabeth A Holzhausen, Paul E Peppard, Ajay K Sethi, Nasia Safdar, Kristen C Malecki, Amy A Schultz, Courtney L Deblois, Erika W Hagen

Abstract read
In one paragraph

Article in Sleep, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Characterising functional redundancy in microbiome communities via relative entropy.Computational and structural biotechnology journal · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Elizabeth A HolzhausenDepartment of Integrative Physiology, University of Colorado, Boulder, CO, USA.ORCID 0000-0002-1773-0099
Paul E PeppardDepartment of Population Health Sciences, University of Wisconsin, Madison, WI, USA.
Ajay K SethiDepartment of Population Health Sciences, University of Wisconsin, Madison, WI, USA.
Nasia SafdarDepartment of Medicine and the William S. Middleton Memorial Veterans Hospital, University of Wisconsin, Madison, WI, USA.
Kristen C MaleckiDivision of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois Chicago, Chicago, IL, USA.
Amy A SchultzDepartment of Population Health Sciences, University of Wisconsin, Madison, WI, USA.
Courtney L DebloisDepartment of Bacteriology, University of Wisconsin, Madison, WI, USA.
Erika W HagenDepartment of Population Health Sciences, University of Wisconsin, Madison, WI, USA.

Funding

Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Diversity supplementT32HD007014 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 1985 to 2026
$6.8M
Researching Institutional and Psychosocial Sources of Resiliency to Accelerated Biological AgingR01AG061080 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI ENGELMAN, MICHAL, MALECKI, KRISTEN MARY CHOSSEK · 2019 to 2023
$3.4M
Transdisciplinary Training in Sleep and Circadian RhythmsT32HL149646 · NHLBI · UNIVERSITY OF COLORADO · PI Kenneth P Wright · 2020 to 2026
$1.6M
NHLBI NIH HHS T32 HL149646NIA NIH HHS P30 AG017266NIA NIH HHS P30 AG17266NIA NIH HHS R01 AG061080NICHD NIH HHS T32 HD007014NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

STUDY

objectivesAlterations in gut microbiota composition have been associated with several conditions, and there is emerging evidence that sleep quantity and quality are associated with the composition of the gut microbiome. Therefore, this study aimed to assess the associations between several measures of sleep and the gut microbiome in a large, population-based sample.

methodsData were collected from participants in the Survey of the Health of Wisconsin from 2016 to 2017 (N = 720). Alpha diversity was estimated using Chao1 richness, Shannon's diversity, and Inverse Simpson's diversity. Beta diversity was estimated using Bray-Curtis dissimilarity. Models for each of the alpha-diversity outcomes were calculated using linear mixed effects models. Permutational multivariate analysis of variance tests were performed to test whether gut microbiome composition differed by sleep measures. Negative binomial models were used to assess whether sleep measures were associated with individual taxa relative abundance.

resultsParticipants were a mean (SD) age of 55 (16) years and 58% were female. The sample was 83% non-Hispanic white, 10.6% non-Hispanic black, and 3.5% Hispanic. Greater actigraphy-measured night-to-night sleep duration variability, wake-after-sleep onset, lower sleep efficiency, and worse self-reported sleep quality were associated with lower microbiome richness and diversity. Sleep variables were associated with beta-diversity, including actigraphy-measured night-to-night sleep duration variability, sleep latency and efficiency, and self-reported sleep quality, sleep apnea, and napping. Relative abundance of several taxa was associated with night-to-night sleep duration variability, average sleep latency and sleep efficiency, and sleep quality.

conclusionsThis study suggests that sleep may be associated with the composition of the gut microbiome. These results contribute to the body of evidence that modifiable health habits can influence the human gut microbiome.

Indexed as

Gastrointestinal MicrobiomeFemaleHumansMaleMiddle AgedSelf ReportSleepSurveys and QuestionnairesWisconsingut microbiomesleep durationsleep quality

Identifiers

PMID37988614
PMCPMC10926107

What OpenQuestion holds

Textmetadata
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.