Evidence map›Paper›PMID 36532163›Full record

ArticleFrontiers in psychiatry2022

Caffeine is negatively associated with depression in patients aged 20 and older.

Jing Bao, Peile Li, Yang Guo, Yanxu Zheng, Michael Smolinski, Jinshen He

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Observational
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  6. Review
  7. Article
  8. Review
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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 3 institutions in 2 countries.

Jing BaoDepartment of Orthopaedic Surgery, Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Peile LiDepartment of Orthopaedic Surgery, Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Yang GuoDepartment of Orthopaedic Surgery, Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Yanxu ZhengDepartment of Orthopaedic Surgery, Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Michael SmolinskiDepartment of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA, United States.
Jinshen HeDepartment of Orthopaedic Surgery, Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Central South University · CNThird Xiangya Hospital · CNUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Previous studies have observed the association between caffeine intake and depression, but few have considered the potential threshold effect of this issue. Therefore, the study aimed to examine the association between caffeine consumption and depression in patients aged 20 years or older using curve fitting analysis. Methods: The population was 3,263 patients from the 2017 to 2018 National Health and Nutrition Examination Survey (NHANES) with reliable answers to questions of caffeine intake and depression. Participants' depression levels were assessed using the 9-item Patient Health Questionnaire (PHQ-9) depression scale and the caffeine consumption were investigated in a private room of NHANES. The confounding variables of this study included level of education, monthly sleepiness, age, marital status, race, cigarette smoking, sex and recreational activities. Results: In linear regression analysis, patients with a higher PHQ-9 score tend to have less caffeine intake. A similar conclusion was drawn in logistic regression model using PHQ-9 ≥ 10 as a cut-off score for depression. But when caffeine intake exceeded 90 mg, there was no significant association between caffeine intake and depression based on the curve fitting analysis. Discussion: These results suggest that people can consume some caffeine to reduce depression. But further study is needed to examine the precise causal relationship between these factors.

Indexed as

caffeine intakecross-sectional studydepressionNHANESPHQ-9

Identifiers

PMID36532163
PMCPMC9751366
OpenAlexW4311075108

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.