Racial disparities in biomarkers, tobacco cessation, and smoking relapse in association with electronic cigarette use

与电子烟使用相关的生物标志物、戒烟和复吸的种族差异

• 批准号: 10395602
• 负责人: Hongying Daisy Dai
• 金额: $ 23.03万
• 依托单位: UNIVERSITY OF NEBRASKA MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-01 至 2024-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10395602
• 关键词: 18 year old; 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol; Abstinence; Adult; African American population; Back; Behavior; Biological Markers; Cessation of life; Characteristics; Cigarette; Cigarette Smoker; Clinical; Collection; Communities; Cotinine; Data; Devices; Electronic cigarette; Ethnic group; Future; Goals; Health; Heterogeneity; Hispanic Populations; Incidence; Intervention; Knowledge; Link; Longitudinal Studies; Machine Learning; Malignant Neoplasms; Malignant neoplasm of lung; Measures; Menthol; Metals; Morbidity - disease rate; Nicotine; Not Hispanic or Latino; Observational Study; Outcome; Oxidative Stress; Pattern; Persons; Play; Population Analysis; Population Assessment of Tobacco and Health; Psychosocial Factor; Public Health; Race; Recording of previous events; Relapse; Reporting; Research; Respiratory Signs and Symptoms; Risk; Role; Serum; Smoke; Smoker; Smoking; Surveys; Techniques; Time; Tobacco; Tobacco Use Cessation; Tobacco use; United States; Urine; Validation; Variant; base; behavioral outcome; cigarette smoke; cigarette smoking; cigarette user; combustible cigarette; disorder risk; e-cigarette aerosols; electronic cigarette use; electronic cigarette user; former smoker; high risk; improved; indexing; innovation; machine learning algorithm; mortality; personalized intervention; psychosocial; racial and ethnic; racial disparity; racial minority; reduce tobacco use; smoking cessation; smoking relapse; sociodemographics; tobacco exposure; tobacco products; tobacco toxicant; toxicant; urinary; vaping

Project Summary Although enormous progress has been made in reducing cigarette smoking in the United States, large disparities remain across subpopulations such as racial minorities. Quitting smoking can greatly reduce the risk of disease and early death. However, African Americans (AA) are less likely to quit smoking successfully than are non-Hispanic Whites, and they are also three times more likely to smoke menthol cigarettes than Whites. There is a remarkable variation in the incidence of lung cancer due to cigarette smoking among racial/ethnic groups in the United States, and African Americans have significantly greater risks than Whites at lower levels of smoking. Tobacco use landscape is changing among U.S. adults with an estimated 4.5% of adults aged 18 years and older reporting current use of electronic cigarettes (EC). Evidence suggests that e-cigarette aerosol is substantially less toxic than combustible cigarette smoking, but e-cigarette use may also post elevated risk for former smokers to relapse back to combustible cigarette smoking. Biomarker can play an important role in assessing the potential health effects of tobacco products and studies have found that AA have higher levels of serum cotinine per cigarette smoked, higher urinary amount of TNE and NNAL than Whites. However, evidence on the racial disparities of biomarker outcomes of EC use is scarce, especially whether and to what extent they are different from use of various EC devices, flavors, and transitions in EC ↔ cigarettes. The overarching goal of this study is to examine the racial disparities in biomarkers of exposure and toxicants in association with EC use by analyzing the restricted Population Assessment of Tobacco and Health (PATH) Wave 1-4 biomarker data. We will link the biomarker data with the PATH adult surveys to identify the between- person and within-person differences in biomarkers by use of different vaping products, flavors, and transition in EC and combustible cigarettes across different waves (Aim 1). We will further leverage machine learning algorithms to develop a composite bio (biomarker)-socio (socio-demographics) -psycho (psychosocial factors) risk index score for each racial/ethnic group to predict subsequent abstinence from cigarette smoking and relapse to cigarette smoking since these 2 outcomes represent the most meaningful transitions from a public health perspective. This study is innovative in its focus on racial disparities of biomarkers by leveraging the nationally longitudinal data, and on using machine learning algorithms to predict future smoking cessation and relapse behaviors in EC ↔ cigarette transition. Fulfillment of these aims will build a scientific base for maximizing the value of existing biospecimen collections. Findings from this R21 study are expected to inform regulatory strategies to reduce tobacco-related morbidity and mortality and set the stage for a future R01 application that will develop personalized intervention strategies that incorporate biomarker measures to reduce racial disparities in tobacco use and improve health outcomes. 1

项目摘要 尽管美国在减少吸烟方面取得了巨大进展， 少数民族等亚人口之间仍然存在差异。戒烟可以大大降低风险 疾病和早逝。然而，非裔美国人（AA）成功戒烟的可能性低于 非西班牙裔白人，他们也比白人更有可能抽薄荷香烟。 吸烟导致肺癌的发病率在不同种族/民族之间存在显著差异。 在美国，非洲裔美国人的风险明显高于白人， 吸烟。美国成年人的烟草使用情况正在发生变化，估计有4.5%的18岁成年人 报告目前使用电子烟（EC）的年龄及以上。有证据表明，电子烟气雾剂 电子烟的毒性远低于可燃香烟，但使用电子烟也可能增加风险 让曾经的吸烟者重新开始吸烟。生物标志物可以发挥重要作用， 评估烟草制品对健康的潜在影响，研究发现AA具有更高的 每支烟的血清可替宁、尿TNE和NNAL含量均高于白人。然而，在这方面， 关于EC使用生物标志物结果的种族差异的证据很少，特别是是否以及如何 在某种程度上，它们与EC参与香烟中的各种EC装置、香料和过渡的使用不同。的 这项研究的首要目标是检查暴露和毒物生物标志物的种族差异， 通过分析烟草与健康的限制性人口评估（PATH）， 波1-4生物标志物数据。我们将把生物标志物数据与PATH成人调查联系起来，以确定 通过使用不同的电子烟产品、口味和过渡，人与人之间生物标志物的差异 在EC和可燃香烟中，不同的波（目标1）。我们将进一步利用机器学习 开发复合生物（生物标志物）-社会（社会人口统计学）-心理（心理社会因素）的算法 每个种族/族裔群体的风险指数评分，以预测随后戒烟， 因为这两个结果代表了从公众吸烟到吸烟的最有意义的转变， 健康视角。这项研究是创新的，它的重点是种族差异的生物标志物，利用 全国纵向数据，以及使用机器学习算法来预测未来的戒烟， EC向香烟过渡中的复吸行为。这些目标的实现将为人类的发展奠定科学基础。 最大限度地发挥现有生物标本收藏的价值。这项R21研究的结果预计将为 减少烟草相关发病率和死亡率的监管战略，并为未来的R 01奠定基础 该应用程序将开发个性化的干预策略，包括生物标志物措施， 减少烟草使用方面的种族差异，改善健康状况。 1

项目成果

Randomised experiment for the effect of 'Tobacco-Free Nicotine' messaging on current e-cigarette users' perceptions, preferences and intentions.

随机实验研究“无烟草尼古丁”信息对当前电子烟用户的看法、偏好和意图的影响。

• DOI: 10.1136/tc-2022-057507
• 发表时间: 2023
• 期刊: Tobacco control
• 影响因子: 5.2
• 作者: Ratnapradipa,Kendra;Samson,Kaeli;Dai,HongyingDaisy
• 通讯作者: Dai,HongyingDaisy

Exposure to Toxicants Associated With Use and Transitions Between Cigarettes, e-Cigarettes, and No Tobacco.

与香烟，电子烟和无烟草之间使用和过渡相关的有毒物质的暴露。

• DOI: 10.1001/jamanetworkopen.2021.47891
• 发表时间: 2022-02-01
• 期刊: JAMA network open
• 影响因子: 13.8
• 作者: Dai H;Benowitz NL;Achutan C;Farazi PA;Degarege A;Khan AS
• 通讯作者: Khan AS

Biomarkers of Toxic Exposure and Oxidative Stress Among U.S. Adult Users of Premium Cigar Versus Other Cigar Subtypes: 2013-2019.

• DOI: 10.1093/ntr/ntad054
• 发表时间: 2023-07-28
• 期刊: NICOTINE & TOBACCO RESEARCH
• 影响因子: 4.7
• 作者: Dai, Hongying Daisy;Benowitz, Neal L.;Rogan, Eleanor;Degarege, Abraham;Buckley, James;Khan, Ali S.
• 通讯作者: Khan, Ali S.

Genetic and environmental influences on early-age susceptibility and initiation of nicotine-containing product use: A twin-pairs study.

• DOI: 10.18332/tpc/173556
• 发表时间: 2023
• 期刊: Tobacco prevention & cessation
• 影响因子: 1.8
• 作者: Kochvar A;Liu Y;Munafo M;Xu Z;Dai HD
• 通讯作者: Dai HD

Prevalence and Factors Associated With Vaping Cannabidiol Among US Adolescents.

• DOI: 10.1001/jamanetworkopen.2023.29167
• 发表时间: 2023-08-01
• 期刊: JAMA NETWORK OPEN
• 影响因子: 13.8
• 作者: Dai, Hongying Daisy;Subramanian, Roma;Mahroke, Avina;Wang, Ming
• 通讯作者: Wang, Ming