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

基本信息

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
项目类别：
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

项目摘要

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

项目摘要尽管在减少美国吸烟方面取得了巨大进展，但很大跨种群（例如少数族裔）仍然存在差异。戒烟可以大大降低风险疾病和早亡。但是，非洲裔美国人（AA）比是非西班牙裔白人，它们的烟心心态的可能性也比白人高三倍。由于种族/族裔吸烟，肺癌事件发生了显着差异美国和非裔美国人的群体的风险明显大于较低水平的白人吸烟。美国成年人的烟草使用景观正在发生变化，估计有4.5％的18岁成年人年龄及以上的电子烟的使用（EC）。有证据表明电子烟气雾剂比混合吸烟的毒性要小得多，但是电子烟的使用也可能会发布较高的风险以前的吸烟者可以减轻吸烟混合的吸烟。生物标志物可以在评估烟草产品和研究的潜在健康影响已经发现，AA具有更高的水平熏制的血清可替氨酸吸烟，尿量高于白人。然而，关于EC使用的生物标志物结果的种族分布的证据是稀缺的，尤其是何时以及什么它们与在EC卷烟中使用各种EC设备，口味和过渡的程度不同。这这项研究的总体目标是检查暴露和毒物的生物标志物中的种族分布通过分析烟草和健康的受限人群评估（路径），与EC的使用相关联波1-4生物标志物数据。我们将将生物标志物数据与成人调查相关联，以确定 - 通过使用不同的vaping产品，口味和过渡，人物和人身内部的生物标志物差异在EC和不同波浪中混合的香烟中（AIM 1）。我们将进一步利用机器学习开发复合生物（生物标志物）-socio（社会人口统计学）-Psycho（社会心理因素）的算法每个种族/族裔的风险指数得分，以预测随后的吸烟和复发到吸烟，因为这两个结果代表了公众最有意义的过渡健康的观点。这项研究具有创新性，其重点是利用生物标志物的种族差异全国纵向数据，以及使用机器学习算法来预测未来的戒烟和 EC↔民政过渡中的复发行为。实现这些目标将为最大化现有的生物循环收集的价值。这项R21研究的发现有望告知减少烟草相关的发病率和死亡率的监管策略，并为未来的R01奠定了基础将制定个性化干预策略的应用，将生物标志物措施纳入减少烟草使用中的种族分布并改善健康结果。 1

项目成果

期刊论文数量（12）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

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.

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.

Prevalence and Factors Associated With Vaping Cannabidiol Among US Adolescents.