Evidence map›Paper›PMID 30853870›Full record

ArticleCalifornian journal of health promotion2018

Association between Caffeine Consumption and Depression in NHANES 2009-2010.

Janice M Pogoda, Galilea Patricio, Archana J McEligot

Abstract read
In one paragraph

Article in Californian journal of health promotion, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Review
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

3 authors.

Janice M PogodaCipher Biostatistics & Reporting, Reno, Nevada.
Galilea PatricioCalifornia State University, Fullerton, Health Science Department.
Archana J McEligotCalifornia State University, Fullerton, Health Science Department.

Funding

Big Data Discovery and Diversity through Research Education Advancement and Partnerships (BD3-REAP)R25MD010397 · NIMHD · CALIFORNIA STATE UNIVERSITY FULLERTON · PI MCELIGOT, ARCHANA J · 2015 to 2019
$1.2M
NIMHD NIH HHS R25 MD010397
6 · The paper itself

Abstract

background and purposeCaffeine is ubiquitous in foods, supplements, and medications and has been hypothesized to be associated with several health-related outcomes, including mental health disorders such as anxiety. We explored a possible relationship between caffeine consumption and depression using data from the National Health and Nutrition Examination Survey (NHANES).

methodsData from 1,342 adult NHANES participants were included. Statistical software for complex survey sample designs was used to perform two multivariable logistic regressions with a binary indicator of depression as the dependent variable: one using dietary caffeine consumption and one using the caffeine metabolite AAMU as the independent variable. Both analyses were adjusted for gender, race/ethnicity, smoking status, and use of anti-depressants.

resultsWe observed a descriptive, albeit non-significant (

conclusionOur finding of a possible association between caffeine metabolite level and depression is compelling because it is independent of self-reported caffeine consumption. Prospective studies are warranted to further explore the temporal relationship.

Indexed as

AAMUCaffeineDepressionMental HealthSubstance Dependence

Identifiers

PMID30853870
PMCPMC6407621

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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.