Evidence map›Paper›PMID 39838373›Full record

ArticleBMC psychiatry2025

Network analysis of caffeine use disorder, withdrawal symptoms, and psychiatric symptoms.

Mohammadreza Davoudi, Fatemeh Abdoli, Fereshte Momeni, Mojtaba Habibi Asgarabad

Abstract read
In one paragraph

Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Establishment of a Novel Approach for Drug Abuse Monitoring and Its Application in Medical Institutions.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Observational
  3. Article
  4. Article
  5. Article
  6. Caffeine in Aging Brains: Cognitive Enhancement, Neurodegeneration, and Emerging Concerns About Addiction.International journal of environmental research and public health · 2025
    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

4 authors.

Mohammadreza DavoudiDepartment of Clinical Psychology, School of Behavioral Sciences, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Fatemeh AbdoliDepartment of Clinical Psychology, School of Behavioral Sciences, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Fereshte MomeniDepartment of Clinical Psychology, School of Behavioral Sciences, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Mojtaba Habibi AsgarabadDepartment of Psychology, Norwegian University of Science and Technology, Trondheim, Norway. mojtaba.h.asgarabad@ntnu.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCaffeine Use Disorder (CUD) is not currently recognized as a formal diagnosis in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). However, recent studies within the DSM-5 context have explored this issue. Also, this disorder is closely associated with caffeine withdrawal symptoms, which are formally recognized as a diagnosis in the DSM-5. Additionally, there is limited evidence regarding the connection between caffeine-related issues and psychiatric symptoms. The main aim of the present study was to determine the network structure of CUD and caffeine withdrawal symptoms among the general population. Also, the bridge symptoms among CUD, psychiatric symptoms, and caffeine withdrawal have been estimated.

methodParticipants were 1228 adults (50.3% females, Mean age (x̄±sd) 35.49 ± 11.70 years) who completed Caffeine Use Disorder Questionnaire (CUDQ), Caffeine Withdrawal Symptoms Questionnaire (CWSQ), and Symptom Checklist-25 (SCL-25). All estimations were conducted according to the Gaussian Graphical Model.

results"Excessive consumption" and "role obligations" were central symptoms in the CUD network. Difficulty in concentration was the most central node in the caffeine withdrawal network. Also, the obsessive-compulsive symptom emerged as a central and highly influential node in the relationship between caffeine-related nodes and psychiatric symptoms.

conclusionsMental health providers should target these specific symptoms in clinical interventions to mitigate caffeine-related problems among individuals in the general population effectively.

Indexed as

CaffeineCentral Nervous System StimulantsSubstance-Related DisordersSubstance Withdrawal SyndromeAdultFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultCaffeineCentral Nervous System StimulantsAddictionCaffeineCaffeine use disorderNetwork AnalysisSubstance withdrawal syndrome

Identifiers

PMID39838373
PMCPMC11753023

What OpenQuestion holds

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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.