Evidence map›Paper›PMID 34968277›Full record

ArticleNursing reports (Pavia, Italy)2021

Association between Caffeine Intake and All-Cause and Cause-Specific Mortality: An Analysis of the National Health and Nutrition Examination Survey (NHANES) 1999-2014 Database.

Juan Feng, Jing Wang, Mini Jose, Yaewon Seo, Li Feng, Song Ge

Open access · goldAbstract read
In one paragraph

Article in Nursing reports (Pavia, Italy), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

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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

6 authors at 4 institutions in 1 country.

Juan FengSchool of Nursing, University of Texas Medical Branch, Galveston, TX 77555, USA.ORCID 0000-0002-7144-9118
Jing WangCollege of Nursing and Health Innovation, University of Texas at Arlington, Arlington, TX 76010, USA.ORCID 0000-0002-5960-0305
Mini JoseSchool of Nursing, University of Texas Medical Branch, Galveston, TX 77555, USA.
Yaewon SeoCollege of Nursing and Health Innovation, University of Texas at Arlington, Arlington, TX 76010, USA.
Li FengMathematics, Computer Science and Physics, Capital University, Columbus, OH 43209, USA.
Song GeDepartment of Natural Sciences/Nursing, University of Houston Downtown, Houston, TX 77002, USA.
The University of Texas at Arlington · USThe University of Texas Medical Branch at Galveston · USCapital University · USUniversity of Houston - Downtown · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sixty-four percent of adults in America drink coffee daily, and caffeine is the main reason people tend to drink coffee habitually. Few studies have examined the association between caffeine and all-cause and cause-specific mortality. The objective of this study was to examine the association between caffeine and all-cause and cause-specific mortality using the National Health and Nutrition Examination Survey (NHANES) 1999-2014 database. The multivariate Cox proportional hazards regression model was used to examine 23,878 individuals 20 years and older. Daily caffeine intake was measured once at baseline. A total of 2206 deaths occurred, including 394 cardiovascular (CVD) deaths and 525 cancer deaths. Compared to those with a caffeine intake of <100 mg/day, the hazard ratios (HRs) for CVD mortality were significantly lower in the participants with a caffeine intake of 100-200 mg/day (HR, 0.63; 95% confidence interval [CI], 0.45-0.88), and those with a caffeine intake of >200 mg/day (HR, 0.67; 95% CI, 0.50-0.88) after adjusting for potential confounders. The HRs for all-cause mortality were significantly lower in the participants with a caffeine intake of 100-200 mg/day (HR, 0.78; 95% CI, 0.67-0.91), and those with a caffeine intake of >200 mg/day (HR, 0.68; 95% CI, 0.60-0.78). Subgroup analyses showed that caffeine may have different effects on all-cause mortality among different age and body mass index (BMI) groups. In conclusion, higher caffeine intake was associated with lower all-cause and CVD mortality.

Indexed as

all-cause mortalitycaffeinecancer mortalitycardiovascular mortalitycoffee

Identifiers

PMID34968277
PMCPMC8715461
OpenAlexW3212780483

What OpenQuestion holds

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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.