Evidence map›Paper›PMID 31195610›Full record

SynthesisNutrients2019

Coffee Intake and Obesity: A Meta-Analysis.

Ariel Lee, Woobin Lim, Seoyeon Kim, Hayeong Khil, Eugene Cheon, Soobin An, SungEun Hong, Dong Hoon Lee, Seok-Seong Kang, Hannah Oh and 2 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
6.0field-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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

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  18. Genome-wide association studies of coffee intake in UK/US participants of European ancestry uncover cohort-specific genetic associations.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
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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

12 authors at 4 institutions in 2 countries.

Ariel LeeDartmouth College, Hanover, NH 03755, USA. ariel.lee.21@dartmouth.edu.
Woobin LimDepartment of Food Science and Biotechnology, Dongguk University, Goyang 10325, Korea. dladnqls1234@naver.com.
Seoyeon KimDepartment of Food Science and Biotechnology, Dongguk University, Goyang 10325, Korea. sy98727@naver.com.
Hayeong KhilDepartment of Food Science and Biotechnology, Dongguk University, Goyang 10325, Korea. kyk3079@naver.com.
Eugene CheonDepartment of Food Science and Biotechnology, Dongguk University, Goyang 10325, Korea. eugenecheon9@naver.com.
Soobin AnDepartment of Food Science and Biotechnology, Dongguk University, Goyang 10325, Korea. asv0321@naver.com.
SungEun HongDepartment of Food Science and Biotechnology, Dongguk University, Goyang 10325, Korea. olivialol@naver.com.
Dong Hoon LeeDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02138, USA. dhlee@mail.harvard.edu.ORCID 0000-0003-1329-4637
Seok-Seong KangDepartment of Food Science and Biotechnology, Dongguk University, Goyang 10325, Korea. sskang@dongguk.edu.
Hannah OhCollege of Health Sciences, Korea University, Seoul 02841, Korea. hannahoh@korea.ac.kr.
NaNa KeumDepartment of Food Science and Biotechnology, Dongguk University, Goyang 10325, Korea. nak212@mail.harvard.edu.
Chung-Cheng HsiehDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02138, USA. CHESIEH@hsph.harvard.edu.
Dongguk University · KRHarvard University · USDartmouth College · USKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies have explored the relationship between coffee-one of the most commonly consumed beverages today-and obesity. Despite inconsistent results, the relationship has not been systematically summarized. Thus, we conducted a meta-analysis by compiling data from 12 epidemiologic studies identified from PubMed and Embase through February 2019. The included studies assessed obesity by body mass index (BMI, a measure of overall adiposity) or waist circumference (WC, a measure of central adiposity); analyzed the measure as a continuous outcome or binary outcome. Using random effects model, weighted mean difference (WMD) and 95% confidence interval (CI) were obtained for continuous outcomes; summary relative risk (RR) and 95% CI for the highest vs. lowest categories of coffee intake were estimated for binary outcome. For BMI, WMD was -0.08 (95% CI -0.14, -0.02); RR was 1.49 (95% CI 0.97, 2.29). For WC, WMD was -0.27 (95% CI -0.51, -0.02) and RR was 1.07 (95% CI 0.84, 1.36). In subgroup analysis by sex, evidence for an inverse association was more evident in men, specifically for continuous outcome, with WMD -0.05 (95% CI -0.09, -0.02) for BMI and -0.21 (95% CI -0.35, -0.08) for WC. Our meta-analysis suggests that higher coffee intake might be modestly associated with reduced adiposity, particularly in men.

Indexed as

AdiposityBody Mass IndexAdultCoffeeEatingFemaleHumansMaleMiddle AgedObesitySex FactorsWaist CircumferenceCoffeeadipositybody mass indexcoffee intakemeta-analysisobesitywaist circumference

Identifiers

PMID31195610
PMCPMC6628169
OpenAlexW2948407755

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.