Caffeine Consumption and Schizophrenia: A Systematic Review and Meta-analysis of Cognitive, Symptomatic, and Functional Outcomes
Wong, Z. Z. B.; Soh, Q. X.; Mau, A. W. K.; Xia, W. H.; Soh, Q. R.
Show abstract
BackgroundSchizophrenia is a complex mental disorder characterized by cognitive deficits, persistent symptoms, and functional impairment. Caffeine, a commonly consumed psychoactive substance, has plausible effects on cognition and mood. However, its impact on individuals with schizophrenia remains unclear. This review evaluates caffeines impact on cognition, symptomatology, and functional outcomes in schizophrenia. MethodA systematic literature search was conducted for articles published up to 30 December 2024 across PubMed, Cochrane Library, PsycINFO, Embase, Emcare, and Medline. We included English-language studies in adults with schizophrenia that compared different caffeine intake levels and reported outcomes on cognition, symptoms, or functioning. Cohort, cross-sectional, and clinical trial designs were included. Data were synthesized using a random-effects model with Hedges g for effect size and I{superscript 2} statistics for heterogeneity. ResultsOf 252 articles screened, eleven studies (n=1,406) met inclusion criteria. Findings were mixed. Some studies reported improvements in cognitive performance and working memory, while others observed increases in positive symptoms or inconsistent associations with overall symptom management. Meta-analyses revealed a non-significant increase/decrease in overall symptom severity (measured with Brief Psychiatric Rating Scale (BPRS) and Nurses Observation Scale for Inpatient Evaluation (NOSIE). Physiologically, caffeine was found to reduce cerebral blood flow, with no statistically significant effects on blood pressure or pulse. ConclusionCaffeine may have mixed effects on schizophrenia, with potential positive effects on cognitive and negative symptoms while possibly worsening positive symptoms. Functional and physiological impacts are unclear, warranting further research to guide clinical recommendations.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Blink rates in patients with schizophrenia compared to healthy controls: A meta-analysis 96%
- Moderate to severe negative symptoms predict low risk of symptoms worsening in schizophrenia patients in CATIE 95%
- Dopamine D1 receptor availability is not associated with delusional ideation measures of psychosis proneness 95%
Similar papers in this journal
- Examining side effect variation of antipsychotic treatment in schizophrenia spectrum disorders 94%
- Neurovascular Uncoupling in Schizophrenia: A Bimodal Meta-Analysis of Brain Perfusion and Glucose Metabolism 94%
- Central oxidative stress and early vocational outcomes in first episode psychosis: A 7-Tesla Magnetic Resonance Spectroscopy study of glutathione 94%
Similar papers in this journal
- Progressive changes in descriptive discourse in First Episode of Schizophrenia: A longitudinal computational semantics study 94%
- Clozapine prescribing in Germany: temporal trends and regional variations, 2012 to 2022 94%
- Early visual processing as a marker of disease, not vulnerability: Event-related potential (ERP) evidence from 22q11.2 deletion syndrome, a population at high risk for schizophrenia 93%
Similar papers in this journal
- Systematic review and meta-analysis of the calibration of confidence judgments in individuals with schizophrenia spectrum disorders 96%
- Neurofunctional correlates of Working Memory across Psychosis Stages: A Systematic Review and Meta-analysis 95%
- Psychological Distress and Metabolomic Markers: A Systematic Review 91%
Similar papers in this journal
- Changes in the blood plasma lipidome associated with response to atypical antipsychotic treatments in schizophrenia 94%
- Candidates for Drug Repurposing to Address the Cognitive Symptoms in Schizophrenia 93%
- Neurocognition and its association with adverse childhood experiences and familial risk of mental illness 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.