Si Cao, Youjie Zeng, Minghua Chen, Wen Ouyang, Zhendong Ding
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We evaluated the causal effect of educational attainment on delirium, the effect of educational attainment on smoking-related traits and the effect of smoking-related traits on delirium. We then performed mediation analysis to evaluate the mediating effect of smoking traits on the association between educational attainment and delirium. In addition, we performed linkage disequilibrium score regression (LDSC) to evaluate genetic correlations between traits.</p><h3>Results</h3><p>Higher educational attainment was significantly associated with a lower delirium risk (OR = 0.767, 95% CI: 0.637–0.922, <i>P</i> = 0.005). Age of smoking initiation was positively associated with educational attainment (<i>β</i> = 0.289, <i>P</i> = 8.89 × 10<sup>-133</sup>) and inversely associated with delirium risk (OR = 0.553, <i>P</i> = 0.014), whereas cigarettes per day was inversely associated with educational attainment (<i>β</i> = –0.315, <i>P</i> = 1.70 × 10<sup>-32</sup>) and positively associated with delirium risk (OR = 1.238, <i>P</i> = 0.022). Sensitivity analyses indicated that the MR results were not affected by heterogeneity or horizontal pleiotropy. Mediation analysis indicated that the age of smoking initiation and cigarettes per day mediated 64.4% (<i>P</i> = 0.014) and 25.3% (<i>P</i> = 0.024) of the total effect, respectively. LDSC analysis revealed a significant negative genetic correlation between educational attainment and delirium, and between age of smoking initiation and delirium. Educational attainment also showed strong correlations with smoking traits, positively with age of initiation and negatively with cigarettes per day.</p><h3>Conclusion</h3><p>The findings of this MR study support the notion that higher educational attainment may reduce the risk of delirium by promoting a later age of smoking initiation and decreasing the number of cigarettes smoked per day.</p></div>","PeriodicalId":100082,"journal":{"name":"Anesthesiology and Perioperative Science","volume":"3 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s44254-025-00133-2.pdf","citationCount":"0","resultStr":"{\"title\":\"Higher educational attainment may reduce the risk of delirium by delaying the initiation and reducing the intensity of smoking: a Mendelian randomization study\",\"authors\":\"Si Cao, Youjie Zeng, Minghua Chen, Wen Ouyang, Zhendong Ding\",\"doi\":\"10.1007/s44254-025-00133-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><p>Using Mendelian Randomization (MR) analysis, this study aimed to assess any causal effect of educational attainment on the risk of delirium and to determine whether smoking mediates this association.</p><h3>Methods</h3><p>We obtained genome-wide association study (GWAS) summary-level statistics for educational attainment (<i>n</i> = 765,283), age of smoking initiation (<i>n</i> = 341,427), cigarettes per day (<i>n</i> = 337,334) and delirium (4,381 cases, 469,981 controls) from GWAS repositories. The inverse variance weighted approach served as the main analytical strategy for causal estimation. Multiple sensitivity tests were used to assess the robustness of MR analyses. We evaluated the causal effect of educational attainment on delirium, the effect of educational attainment on smoking-related traits and the effect of smoking-related traits on delirium. We then performed mediation analysis to evaluate the mediating effect of smoking traits on the association between educational attainment and delirium. In addition, we performed linkage disequilibrium score regression (LDSC) to evaluate genetic correlations between traits.</p><h3>Results</h3><p>Higher educational attainment was significantly associated with a lower delirium risk (OR = 0.767, 95% CI: 0.637–0.922, <i>P</i> = 0.005). Age of smoking initiation was positively associated with educational attainment (<i>β</i> = 0.289, <i>P</i> = 8.89 × 10<sup>-133</sup>) and inversely associated with delirium risk (OR = 0.553, <i>P</i> = 0.014), whereas cigarettes per day was inversely associated with educational attainment (<i>β</i> = –0.315, <i>P</i> = 1.70 × 10<sup>-32</sup>) and positively associated with delirium risk (OR = 1.238, <i>P</i> = 0.022). Sensitivity analyses indicated that the MR results were not affected by heterogeneity or horizontal pleiotropy. Mediation analysis indicated that the age of smoking initiation and cigarettes per day mediated 64.4% (<i>P</i> = 0.014) and 25.3% (<i>P</i> = 0.024) of the total effect, respectively. LDSC analysis revealed a significant negative genetic correlation between educational attainment and delirium, and between age of smoking initiation and delirium. 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引用次数: 0
摘要
目的使用孟德尔随机化(MR)分析,本研究旨在评估教育程度对谵妄风险的因果影响,并确定吸烟是否介导了这种关联。方法我们从全基因组关联研究(GWAS)数据库中获得教育程度(n = 765,283)、开始吸烟年龄(n = 341,427)、每天吸烟(n = 337,334)和谵妄(4,381例,对照组469,981例)的汇总统计数据。反方差加权法是因果估计的主要分析策略。采用多重敏感性试验来评估MR分析的稳健性。我们评估了受教育程度对谵妄的因果影响、受教育程度对吸烟相关特征的影响以及吸烟相关特征对谵妄的影响。然后,我们进行中介分析,评估吸烟特征在受教育程度与谵妄之间的中介作用。此外,我们采用连锁不平衡评分回归(LDSC)来评估性状之间的遗传相关性。结果较高的教育程度与较低的谵妄风险显著相关(OR = 0.767, 95% CI: 0.637 ~ 0.922, P = 0.005)。开始吸烟年龄与受教育程度呈正相关(β = 0.289, P = 8.89 × 10-133),与谵妄风险呈负相关(OR = 0.553, P = 0.014),而每天吸烟与受教育程度呈负相关(β = -0.315, P = 1.70 × 10-32),与谵妄风险呈正相关(OR = 1.238, P = 0.022)。敏感性分析表明MR结果不受异质性或水平多效性的影响。中介分析显示,开始吸烟年龄和每天吸烟支数对总效应的中介作用分别为64.4% (P = 0.014)和25.3% (P = 0.024)。LDSC分析显示受教育程度与谵妄、开始吸烟年龄与谵妄有显著负相关。受教育程度也与吸烟特征有很强的相关性,与开始吸烟的年龄呈正相关,与每天吸烟的数量呈负相关。结论本MR研究的发现支持了这样一种观点,即较高的教育程度可以通过推迟开始吸烟的年龄和减少每天吸烟的数量来降低谵妄的风险。
Higher educational attainment may reduce the risk of delirium by delaying the initiation and reducing the intensity of smoking: a Mendelian randomization study
Purpose
Using Mendelian Randomization (MR) analysis, this study aimed to assess any causal effect of educational attainment on the risk of delirium and to determine whether smoking mediates this association.
Methods
We obtained genome-wide association study (GWAS) summary-level statistics for educational attainment (n = 765,283), age of smoking initiation (n = 341,427), cigarettes per day (n = 337,334) and delirium (4,381 cases, 469,981 controls) from GWAS repositories. The inverse variance weighted approach served as the main analytical strategy for causal estimation. Multiple sensitivity tests were used to assess the robustness of MR analyses. We evaluated the causal effect of educational attainment on delirium, the effect of educational attainment on smoking-related traits and the effect of smoking-related traits on delirium. We then performed mediation analysis to evaluate the mediating effect of smoking traits on the association between educational attainment and delirium. In addition, we performed linkage disequilibrium score regression (LDSC) to evaluate genetic correlations between traits.
Results
Higher educational attainment was significantly associated with a lower delirium risk (OR = 0.767, 95% CI: 0.637–0.922, P = 0.005). Age of smoking initiation was positively associated with educational attainment (β = 0.289, P = 8.89 × 10-133) and inversely associated with delirium risk (OR = 0.553, P = 0.014), whereas cigarettes per day was inversely associated with educational attainment (β = –0.315, P = 1.70 × 10-32) and positively associated with delirium risk (OR = 1.238, P = 0.022). Sensitivity analyses indicated that the MR results were not affected by heterogeneity or horizontal pleiotropy. Mediation analysis indicated that the age of smoking initiation and cigarettes per day mediated 64.4% (P = 0.014) and 25.3% (P = 0.024) of the total effect, respectively. LDSC analysis revealed a significant negative genetic correlation between educational attainment and delirium, and between age of smoking initiation and delirium. Educational attainment also showed strong correlations with smoking traits, positively with age of initiation and negatively with cigarettes per day.
Conclusion
The findings of this MR study support the notion that higher educational attainment may reduce the risk of delirium by promoting a later age of smoking initiation and decreasing the number of cigarettes smoked per day.