Evidence map›Paper›PMID 35166314›Full record

ArticleThe journal of nutrition, health & aging2022

Associations of Blood Caffeine and Genetically Predicted Coffee Consumption with Anthropometric Measures of Obesity: A Two Sample Mendelian Randomization Study.

V P Narayan, S Y Yoon

Open access · greenAbstract read
In one paragraph

Article in The journal of nutrition, health & aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
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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

2 authors at 2 institutions in 3 countries.

V P NarayanMr. Vikram Narayan, School of Biological Sciences, The University of Queensland, St Lucia, 4072, Australia, E-mail: v.narayan@uqconnect.edu.au.
S Y Yoon
Ewha Womans University · KRUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn observational studies, caffeine has been associated with a lower risk of obesity. However, whether the associations are causal and apply to coffee, which is a mixture of chemical compounds is unclear.

designTwo sample Mendelian randomization study. SETTING AND

participantsGenetic instruments predicting caffeine were extracted from an existing GWAS of serum metabolites in 1960 individuals of European descent. For coffee consumption up to 91,462 individuals of European ancestry with top SNPs followed-up in ~30,062 coffee consumers and up to 375,833 individuals of European ancestry were taken from two separate studies. Genetic associations with obesity classes (n= 263,407), waist-to-hip ratio (WHR) (n=210,086), waist circumference (WC) (n= 231,355), and hip circumference (HC) (n=211,117) were obtained from summary statistics of individuals of European ancestry from the Genetic Investigation of Anthropocentric Traits (GIANT).

methodsThe inverse-variance weighted method (IVW) was used as the main analysis. We also employed the weighted median approach (WM) and MR-Egger regression as sensitivity analyses. To gauge evidence of directional pleiotropy, we used Cochrane's Q test, and MR-PRESSO global test, as measures of heterogeneity between ratio estimates of variants.

resultsThere was little evidence to support an association between blood caffeine and any anthropometric measure of obesity in the primary and sensitivity analyses. However, genetically predicted coffee consumption was positively associated with higher class I obesity and WHR. Furthermore, this association was maintained after correction for multiple testing (P < 0.05/6 = 0.008). Results from the GWAS of coffee consumption were in tandem with results from the GWMA, but associations with class I obesity and waist to hip ratio (WHR) were not maintained after correction for multiple testing.

conclusionWe found little evidence that caffeine or coffee consumption protects against obesity, adding to growing literature suggesting that previous observational studies may have been confounded. This study demonstrates the dangers of ignoring genetic testing for targeted interventions and basing dietary policy recommendations solely on observational studies restricted to specific populations.

Indexed as

CaffeineCoffeeGenome-Wide Association StudyHumansMendelian Randomization AnalysisObesityPolymorphism, Single NucleotideCaffeineCoffeebody mass indexCaffeinecoffeemendelian randomizationobesity

Identifiers

PMID35166314
PMCPMC12878381
OpenAlexW4211198662

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.