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

Bao J. Li P. Guo Y. Zheng Y. Smolinski M. He J (2022). Caffeine is negatively associated with depression in patients aged 20 and older. Frontiers in Psychiatry, 13, https://doi.org/10.3389/fpsyt.2022.1037579

Overall rating
(3.0) 1 review
Authors
Jing Bao, Peile Li, Yang Guo, Yanxu Zheng, Michael Smolinski, Jinshen He
Journal
Frontiers in Psychiatry
First published
2022
Number of citations
12
Type
Journal Article
DOI
10.3389/fpsyt.2022.1037579

Abstract

IntroductionPrevious 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.MethodsThe 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.ResultsIn 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.DiscussionThese 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.

Reviews

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Not Open Access

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ChampagneSynapse Oct 15, 2025

Thoughts on this paper - marital status is one of the confounding factors, but this is never explained - why? - self-assessment problem of caffeine intake - are participants well-informed about beverages that contain caffeine, other than coffee? - the discussions described possible mechanisms, but in the argument stating that sugar in coffee may itself be confounding factor there is no further discussion/ description of the fact that other beverages may contain more sugar (e.g. energy drinks) and the survey didn't ask participants how they take their coffee - they mention caffeine as a factor of sleep deprivation, increasing cort etc. but as far as I can tell they didn't measure sleep deprivation. They are using data of self-reported sleepiness, but this itself can be a predictive factor for/ persistent factor of depression - in their limitations they mention that they only used just over 3000 samples, but there is no description/ calculation of how many samples they would need - "while education is not easy to change..." - what a wild take! you're depressed because you didn't pursue higher education? clear link to caffeine intake unclear there are also a lot of typos (e.g. meditation instead of medication, which, in this context, is deeply confusing) and some unclear language - cannot fault the authors for writing in their non-native language, however I would hope for better editorial work