Effects of acute caffeine consumption following sleep loss on cognitive, physical, occupational and driving performance: A systematic review and meta-analysis

Irwin, Christopher; Khalesi, Saman; Desbrow, Ben; McCartney, Danielle

doi:10.1016/j.neubiorev.2019.12.008

Cited by 50 publications

(26 citation statements)

References 83 publications

(60 reference statements)

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“…In non-clinical populations, poor cognitive functioning has been associated with increased smoking (Campos, Serebrisky, & Castaldelli-Maia, 2016 ), alcohol drinking (Topiwala & Ebmeier, 2018 ), and cannabis use (Curran et al, 2016 ), although for impaired response inhibition specifically there are contradicting findings (Liu et al, 2019b ). Although caffeine is often thought to have acute beneficial effects on cognition (Irwin, Khalesi, Desbrow, & McCartney, 2020 ), there is evidence that contests this (Galindo, Navarro, & Cavas, 2020 ; Weibel et al, 2020 ) and its long(er) term effects remain unclear (Cornelis, Weintraub, & Morris, 2020 ; Panza et al, 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Using Mendelian randomization analysis to better understand the relationship between mental health and substance use: a systematic review

et al. 2021

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Background Poor mental health has consistently been associated with substance use (smoking, alcohol drinking, cannabis use, and consumption of caffeinated drinks). To properly inform public health policy it is crucial to understand the mechanisms underlying these associations, and most importantly, whether or not they are causal. Methods In this pre-registered systematic review, we assessed the evidence for causal relationships between mental health and substance use from Mendelian randomization (MR) studies, following PRISMA. We rated the quality of included studies using a scoring system that incorporates important indices of quality, such as the quality of phenotype measurement, instrument strength, and use of sensitivity methods. Results Sixty-three studies were included for qualitative synthesis. The final quality rating was ‘−’ for 16 studies, ‘– +’ for 37 studies, and ‘+’for 10 studies. There was robust evidence that higher educational attainment decreases smoking and that there is a bi-directional, increasing relationship between smoking and (symptoms of) mental disorders. Another robust finding was that higher educational attainment increases alcohol use frequency, but decreases binge-drinking and alcohol use problems, and that mental disorders causally lead to more alcohol drinking without evidence for the reverse. Conclusions The current MR literature increases our understanding of the relationship between mental health and substance use. Bi-directional causal relationships are indicated, especially for smoking, providing further incentive to strengthen public health efforts to decrease substance use. Future MR studies should make use of large(r) samples in combination with detailed phenotypes, a wide range of sensitivity methods, and triangulate with other research methods.

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Section: Introductionmentioning

confidence: 99%

Using Mendelian randomization analysis to better understand the relationship between mental health and substance use: a systematic review

et al. 2021

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“…Caffeine maintains a higher dopamine concentration especially in those brain areas linked with “attention.” Depending on the neurotransmitter system, caffeine can affect different brain areas with different functions (Meeusen et al, 2013 ). Usually, caffeine has delayed effect about 3–4 h of half-life (Knutti et al, 1981 , 1982 ; Nehlig, 2016 ), caffeine’s behavioral effects and the significant increase in psychomotor performance it causes have been documented in a large body of literature, in addition to improvements in attention- (Temido-Ferreira et al, 2019 ; Alasmari, 2020 ; Franceschini et al, 2020 ; Irwin et al, 2020 ; Jahrami et al, 2020 ), mood-, and vigor-based tasks (Dietz and Dekker, 2017 ; Shabir et al, 2018 ; Alasmari, 2020 ). Moreover, Beaumont et al ( 2005 ) found that the action of caffeine both shortened response times and reduced the number of errors on psychomotor tests, which indicates that caffeine has a global action on information processing and divided attention management (Beaumont et al, 2005 ; Wilhelmus et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Effects of Caffeine on Event-Related Potentials and Neuropsychological Indices After Sleep Deprivation

Chen

Zhang

Yang

et al. 2020

Front. Behav. Neurosci.

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Objective: Caffeine is a central nervous system stimulant that can effectively alleviate brain fatigue and low cognitive efficiency induced by total sleep deprivation (TSD). Recent studies have demonstrated that caffeine can improve subjective attention and objective behavioral metrics, such as arousal level, reaction time, and memory efficiency. However, only a few studies have examined the electrophysiological changes caused by the caffeine in humans following sleep disturbance. In this study, an event-related potential (ERP) technique was employed to measure the behavioral, cognitive, and electrophysiological changes produced by caffeine administration after TSD. Methods: Sixteen healthy subjects within-subject design performed a visual Go/No-Go task with simultaneous electroencephalogram recording. Behavioral and ERP data were evaluated after 36 h of TSD, and the effects of ingestion of either 400 mg of caffeine or placebo were compared in a double-blind randomized design. Results: Compared with placebo administration, the Go hit rates were significantly enhanced in the caffeine condition. A simple effect analysis revealed that, compared with baseline, the Go-P2 amplitude was significantly enhanced after TSD in the caffeine consumption condition. A significant main effect of the drug was found on No-Go-P2, No-Go-N2 amplitude, and Go-P2 latency before and after TSD. Conclusion: Our findings indicate that caffeine administration has acute effects on improving the efficiency of individual automatic reactions and early cognitive processes. Caffeine was related to the preservation of an individual's arousal level and accelerated response-related decisions, while subjects' higher-level recognition had limited improvement with prolonged awareness.

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“…Likewise, Rees et al assessed the in uence of age on the effects of caffeine on a variety of psychomotor and cognitive tests, and observed that the psychomotor performance and cognitive function in participants were improved after caffeine consumption [54]. A recent systematic review highlighted the bene t of caffeine on memory, crystallized intelligence, physical and occupational performance [55]. In genetic perspective, our research may suggest an effect of caffeine intake on intelligence.…”

Section: Discussionmentioning

confidence: 54%

Genome-wide environmental interaction analysis identifies dietary habit related risk loci for depression and intelligence in UK Biobank

Cheng¹,

Chu²,

Wen³

et al. 2020

Preprint

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Background Dietary habits have considerable impact on brain development and mental health. Our aim is to explore the possible association of dietary habits with depression and intelligence. Methods A total of 814 independent loci from a genome-wide association study (GWAS) of dietary habits were utilized to calculate the individual polygenic risk score (PRS) for 143 dietary habits related traits. The individual genotype data were obtained from UK Biobank cohort. Regression analyses were then conducted to evaluate the possible association of dietary habits with depression (including 153,549 subjects) and intelligence (including 160,121 subjects), respectively. Using dietary habits related PRSs as covariates, PLINK 2.0 was utilized to detect the SNP × dietary habit interaction effect on the risks of depression and intelligence, respectively. Results We detected 32 and 41 candidate dietary habits related traits for depression and intelligence, respectively, such as never eat sugar vs. no sugar restrictions (P = 1.09 × 10− 2) for depression, and coffee type: decaffeinated vs. any other (P = 8.77 × 10− 3) for intelligence. We also detected 22 common dietary habits related traits shared by depression and intelligence, such as red wine glasses per month (Pdepression = 8.75 × 10− 3, Pintelligence = 3.35 × 10− 19), and overall alcohol intake (Pdepression = 3.60 × 10− 2, Pintelligence = 8.31 × 10− 8). Interaction analysis of depression detected OLFM1 with 9 significant SNPs interacted with champagne/white wine glasses per month. Interaction analysis of intelligence detected SYNPO2 with 3 significant SNPs interacted with coffee type: decaffeinated vs. any other. Conclusions Our study results provide novel useful information for understanding how eating habits affecting the intelligence and the risk of depression.

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Effects of acute caffeine consumption following sleep loss on cognitive, physical, occupational and driving performance: A systematic review and meta-analysis

Cited by 50 publications

References 83 publications

Using Mendelian randomization analysis to better understand the relationship between mental health and substance use: a systematic review

Using Mendelian randomization analysis to better understand the relationship between mental health and substance use: a systematic review

Effects of Caffeine on Event-Related Potentials and Neuropsychological Indices After Sleep Deprivation

Genome-wide environmental interaction analysis identifies dietary habit related risk loci for depression and intelligence in UK Biobank

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