Nilabhra R Das, Benjamin Woolf, Stephanie Page, Rebecca C Richmond, Jasmine Khouja
{"title":"Exploring the Relationship Between Caffeine Consumption, Caffeine Metabolism, and Sleep Behaviours: A Mendelian Randomisation Study.","authors":"Nilabhra R Das, Benjamin Woolf, Stephanie Page, Rebecca C Richmond, Jasmine Khouja","doi":"10.1111/jsr.70147","DOIUrl":null,"url":null,"abstract":"<p><p>Higher consumption of caffeinated beverages is associated with disturbed sleep patterns. Using genetic variants as proxies for caffeine consumption, caffeine metabolism, and sleep traits, we investigated whether this association reflects a direct effect of caffeine. Genetic variants associated with caffeine consumption (n = 407,072), caffeine metabolism (n = 9876), chronotype (n = 449,734), daytime napping (n = 452,633), daytime sleepiness (n = 452,071), getting up in morning (n = 385,949), insomnia (n = 453,379), and sleep duration (n = 446,118) identified in individuals from several studies, including the UK Biobank, were used to explore bi-directional causal relationships between caffeine and sleep using a series of univariable Mendelian Randomisation analyses. We used multivariable Mendelian Randomisation to explore the direct effects of caffeine consumption on sleep behaviours while adjusting for metabolism and vice versa. Higher consumption decreased daytime sleepiness (β<sub>univariable</sub> = -0.044, 95% CI [-0.065, -0.023], p < 0.001; β<sub>multivariable</sub> = -0.034, 95% CI [-0.058, -0.009], p = 0.010), while faster caffeine metabolism, indicative of less caffeine exposure per beverage consumed, decreased the likelihood of daytime napping (β<sub>univariable</sub> = -0.024, 95% CI [-0.037, -0.011], p < 0.001; β<sub>multivariable</sub> = -0.021, 95% CI [-0.042, 0.000], p = 0.051). Being an evening person decreased caffeine consumption (β<sub>univariable</sub> = -0.044, 95% CI [-0.078, -0.010], p = 0.010). Caffeine consumption/metabolism was not causally related to sleep duration or insomnia. We found no clear evidence for effects of caffeine consumption/metabolism on sleep among non-current caffeine consumers when assessing possible pleiotropy. Overall, sleep appears to be impacted by caffeine in a way that influences daytime alertness rather than night-time sleep characteristics. However, the presence of weak instruments for caffeine metabolism and significant heterogeneity warrants further research with larger and diverse samples to better understand the causal pathway between caffeine and sleep.</p>","PeriodicalId":17057,"journal":{"name":"Journal of Sleep Research","volume":" ","pages":"e70147"},"PeriodicalIF":3.9000,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sleep Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/jsr.70147","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Higher consumption of caffeinated beverages is associated with disturbed sleep patterns. Using genetic variants as proxies for caffeine consumption, caffeine metabolism, and sleep traits, we investigated whether this association reflects a direct effect of caffeine. Genetic variants associated with caffeine consumption (n = 407,072), caffeine metabolism (n = 9876), chronotype (n = 449,734), daytime napping (n = 452,633), daytime sleepiness (n = 452,071), getting up in morning (n = 385,949), insomnia (n = 453,379), and sleep duration (n = 446,118) identified in individuals from several studies, including the UK Biobank, were used to explore bi-directional causal relationships between caffeine and sleep using a series of univariable Mendelian Randomisation analyses. We used multivariable Mendelian Randomisation to explore the direct effects of caffeine consumption on sleep behaviours while adjusting for metabolism and vice versa. Higher consumption decreased daytime sleepiness (βunivariable = -0.044, 95% CI [-0.065, -0.023], p < 0.001; βmultivariable = -0.034, 95% CI [-0.058, -0.009], p = 0.010), while faster caffeine metabolism, indicative of less caffeine exposure per beverage consumed, decreased the likelihood of daytime napping (βunivariable = -0.024, 95% CI [-0.037, -0.011], p < 0.001; βmultivariable = -0.021, 95% CI [-0.042, 0.000], p = 0.051). Being an evening person decreased caffeine consumption (βunivariable = -0.044, 95% CI [-0.078, -0.010], p = 0.010). Caffeine consumption/metabolism was not causally related to sleep duration or insomnia. We found no clear evidence for effects of caffeine consumption/metabolism on sleep among non-current caffeine consumers when assessing possible pleiotropy. Overall, sleep appears to be impacted by caffeine in a way that influences daytime alertness rather than night-time sleep characteristics. However, the presence of weak instruments for caffeine metabolism and significant heterogeneity warrants further research with larger and diverse samples to better understand the causal pathway between caffeine and sleep.
期刊介绍:
The Journal of Sleep Research is dedicated to basic and clinical sleep research. The Journal publishes original research papers and invited reviews in all areas of sleep research (including biological rhythms). The Journal aims to promote the exchange of ideas between basic and clinical sleep researchers coming from a wide range of backgrounds and disciplines. The Journal will achieve this by publishing papers which use multidisciplinary and novel approaches to answer important questions about sleep, as well as its disorders and the treatment thereof.