Evidence map›Paper›PMID 40635889›Full record

ArticleFrontiers in nutrition2025

Use of caffeine in 19,660 randomly selected U.S. adults: the role of overweight and obesity.

Larry A Tucker, Frank Beltran

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Larry A TuckerDepartment of Exercise Sciences, College of Life Sciences, Brigham Young University, Provo, UT, United States.
Frank BeltranDepartment of Exercise Sciences, College of Life Sciences, Brigham Young University, Provo, UT, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Caffeine is a stimulant. It is one of the most consumed drugs in the United States. The present investigation was conducted to determine the relationships between BMI and waist circumference, and caffeine intake. The specific objective was to determine whether adults with higher BMIs or larger waist circumferences consume more or less caffeine than their counterparts. Methods: A sample of 19,660 randomly selected women and men, 20-75 years old, representing the U.S. adult population, was studied using a cross-sectional design. Data was collected as part of the National Health and Nutrition Examination Survey (NHANES) from 2009 through 2018. A number of covariates were controlled statistically to minimize their influence on the results: age, gender, race, year of assessment, alcohol use, smoking, time spent in moderate to vigorous physical activity, total energy intake (kcal), and consumption (g per 1,000 kcal) of dietary fiber, carbohydrate, protein, fat, sugar, and saturated fat. Results: After adjusting for all the covariates, results showed that in U.S. men, there was a dose-response relationship between higher BMI categories and higher caffeine consumption ( Conclusions: Overall, this study found that U.S. men with larger body mass and waist levels consumed higher amounts of caffeine than their counterparts. U.S. women did also, but the relationships were quadratic, not linear like the men's. It appears that the drug, caffeine, has multiple properties that appeal to adults with higher BMI and waist circumference levels. Additional research is needed to better understand why adults with larger body mass and waist sizes consume significantly more caffeine than their counterparts.

Indexed as

abdominal fatappetite suppressantBMINHANESstimulantwaist

Identifiers

PMID40635889
PMCPMC12237612

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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.