Evidence map›Paper›PMID 36790827›Full record

SynthesisObesity (Silver Spring, Md.)2023

Establishing causal relationships between sleep and adiposity traits using Mendelian randomization.

Bryony L Hayes, Marina Vabistsevits, Richard M Martin, Deborah A Lawlor, Rebecca C Richmond, Timothy Robinson

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Obesity (Silver Spring, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Napping and Obesity in Adults - What do we Know?Current diabetes reports · 2024
    Review
  13. Observational
  14. Article
  15. Article
  16. Sleep and cardiovascular disease.Emerging topics in life sciences · 2023
    Review
  17. Article
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

6 authors at 2 institutions in 1 country.

Bryony L HayesMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID 0000-0001-6340-0966
Marina VabistsevitsMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Richard M MartinMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Deborah A LawlorMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Rebecca C RichmondMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Timothy RobinsonPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
National Health Service · GBUniversity of Bristol · GB

Funding

British Heart FoundationCancer Research UK 29019Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/6Medical Research Council MC_UU_00032/1
6 · The paper itself

Abstract

objectiveThe aim of this study was to systematically evaluate the direction of any potential causal effect between sleep and adiposity traits.

methodsTwo-sample Mendelian randomization was used to assess the association of genetically predicted sleep traits with adiposity and vice versa. Using data from UK Biobank and 23andMe, the sleep traits explored were morning preference (chronotype; N = 697,828), insomnia (N = 1,331,010), sleep duration (N = 446,118), napping (N = 452,633), and daytime sleepiness (N = 452,071). Using data from the Genetic Investigation of ANthropometric Traits (GIANT) and Early Growth Genetics (EGG) consortia, the adiposity traits explored were adult BMI, hip circumference (HC), waist circumference (WC), waist-hip ratio (WHR; N = 322,154), and childhood BMI (N = 35,668).

resultsThis study found evidence that insomnia symptoms increased mean WC, BMI, and WHR (difference in means, WC = 0.39 SD [95% CI: 0.13-0.64], BMI = 0.47 SD [95% CI: 0.22-0.73], and WHR = 0.34 SD [95% CI: 0.16-0.52]). Napping increased mean WHR (0.23 SD [95% CI: 0.08-0.39]). Higher HC, WC, and adult BMI increased odds of daytime sleepiness (HC = 0.02 SD [95% CI: 0.01-0.04], WC = 0.04 SD [95% CI: 0.01-0.06], and BMI 0.02 SD [95% CI: 0.00-0.04]). This study also found that higher mean childhood BMI resulted in lower odds of napping (-0.01 SD [95% CI: 0.02-0.00]).

conclusionsThe effects of insomnia on adiposity and of adiposity on daytime sleepiness suggest that poor sleep and weight gain may contribute to a feedback loop that could be detrimental to overall health.

Indexed as

Disorders of Excessive SomnolenceSleep Initiation and Maintenance DisordersAdiposityAdultBody Mass IndexChildHumansMendelian Randomization AnalysisObesityRisk FactorsSleepWaist-Hip Ratio

Identifiers

PMID36790827
PMCPMC10946465
OpenAlexW4320857153

What OpenQuestion holds

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LicenceCC BY
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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.