A Longitudinal Study of Exposure to Tobacco-Related Toxicants and Subsequent Respiratory Symptoms Among U.S. Adults with Varying E-cigarette Use Status.

A Longitudinal Study of Exposure to Tobacco-Related Toxicants and Subsequent Respiratory Symptoms Among U.S. Adults with Varying E-cigarette Use Status.
复制标题

DOI:
10.1093/ntr/ntaa180
复制
发表时间:
2020-12-15
期刊:
Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco
影响因子:
--
通讯作者:
Khan AS
Khan AS
中科院分区:
其他
文献类型:
--
作者:
Dai H;Khan AS

文献摘要

参考文献

被引文献

相似文献

电子烟的使用和随后的呼吸道疾病之间的联系仍然是一个悬而未决的问题。从烟草与健康研究的人口评估第1波和第2波中选择了美国成年人概率样本的子集进行生物谱分析(n=4614)。在基线时,受试者被分为三个相互排斥的组:不使用电子烟(n=2849),专用电子烟使用者(n=222),以及聚电子烟/烟草使用者(n=1,543)。报告了五类有害和潜在有害成分的基线生物标志物的几何平均浓度。多变量线性回归被用来检验基线生物标记物和随后的呼吸道症状之间的关系。单纯电子烟使用者(33.6%[可信区间:26.7%至41.4%])和聚电子烟/烟草使用者(50.8%[可信区间:47.4%至54.2%])的后续呼吸道症状患病率高于非使用者(21.7%[19.2%至24.4%])。与非吸烟者相比,聚电子烟/烟草使用者在基线时在临床相关生物标志物中的浓度高于单独使用电子烟的使用者。在聚电子烟/烟草使用者中,随后报告呼吸道症状的人中,基线尼古丁代谢物(TNE_2,可替宁)、烟草特有的亚硝胺、多环芳烃(1-NAP,3-Flu)和挥发性有机化合物(N-乙酰-S-(2-羧乙基)-L-半胱氨酸,N-乙酰-S-(2-氰乙基)-L-半胱氨酸)显著高于没有报告呼吸道症状的人。在专门使用电子烟的人中,报告随后出现呼吸道症状的人的基线NNAL显著高于没有报告的人。在随后出现呼吸道症状的受试者中,完全使用电子烟的人的NNAL(10.7[6.5%至17.5%])是单独使用电子烟的人的2.5%,使用聚电子烟/烟草的人的NNAL(199.6[176.7至225.4])是不使用电子烟的人的63.4%(2.4%至3.9%)。与不使用电子烟的人相比,电子烟的使用与已知烟草相关毒物的浓度更高,以及随后出现呼吸道症状的风险有关。使用保利电子烟/烟草的人比单独使用电子烟的人风险更高。这项纵向研究发现,在不同的电子烟使用组中,暴露于烟草相关毒物的基线尿液生物标记物与随后呼吸道症状风险增加之间存在正相关。电子烟的使用与暴露于已知烟草相关毒物的增加有关,而某些毒物的暴露会增加呼吸道症状的风险。
The link between e-cigarette use and subsequent development of respiratory diseases remains an open question. A subset of a probability sample of U.S. adults from the Population Assessment of Tobacco and Health Study Waves 1 and 2 were selected for biospecimen analysis (n = 4614). Subjects were divided into three mutually exclusive groups at baseline: nonusers (n = 2849), exclusive e-cigarette users (n = 222), and poly e-cigarette/tobacco users (n = 1,543). Geometric mean concentrations of baseline biomarkers from five classes of harmful and potentially harmful constituents were reported. Multivariable linear regressions were conducted to examine the relationship between baseline biomarkers and subsequent respiratory symptoms among user groups. Baseline exclusive e-cigarette users (33.6%[confidence interval, CI: 26.7% to 41.4%]) and poly e-cigarette/tobacco users (50.8%[CI: 47.4% to 54.2%]) had higher prevalence of subsequent respiratory symptoms than nonusers (21.7%[19.2% to 24.4%]). As compared with nonusers, poly e-cigarette/tobacco users had higher concentrations in clinically relevant biomarkers at baseline than exclusive e-cigarette users. Among poly e-cigarette/tobacco users, baseline nicotine metabolites (TNE2, cotinine), tobacco-specific nitrosamine (NNAL), PAH (1-NAP, 3-FLU), and volatile organic compound (N-Acetyl-S-(2-carboxyethyl)-l-cysteine, N-acetyl-S-(2-cyanoethyl)-l-cysteine) were significantly higher among those reporting subsequent respiratory symptoms than those who did not. Among exclusive e-cigarette users, baseline NNAL was significantly higher among those reporting subsequent respiratory symptoms than those who did not. Within subjects with subsequent respiratory symptoms, NNAL was 2.5 times higher in exclusive e-cigarette users (10.7[6.5 to 17.5]) and 63.4 times higher in poly e-cigarette/tobacco users (199.6[176.7 to 225.4]) than nonusers (3.1[2.4 to 3.9]). E-cigarette use is associated with higher concentrations of known tobacco-related toxicants and risks of subsequent respiratory symptoms than nonusers. Poly e-cigarette/tobacco users exhibit higher risk than exclusive e-cigarette users. This longitudinal study identified positive associations between baseline urinary biomarkers of exposure to tobacco-related toxicants and increased risks of subsequent respiratory symptoms across varying e-cigarette use groups. E-cigarette use is associated with increased exposure to known tobacco-related toxicants, and certain toxicant exposure increases the risk of respiratory symptoms.
DOI: 10.5993/ajhb.44.1.8
发表时间: 2020-01-01
影响因子: 2.3
作者:
Rostron, Brian L.;Cheng, Yu-Ching;Ambrose, Bridget K.
通讯作者: Ambrose, Bridget K.
DOI: 10.1158/1055-9965.epi-16-0675
发表时间: 2017-03
期刊: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
影响因子: --
作者:
Chang CM;Edwards SH;Arab A;Del Valle-Pinero AY;Yang L;Hatsukami DK
通讯作者: Hatsukami DK
DOI: 10.1016/j.drugalcdep.2019.05.029
发表时间: 2019-10-01
影响因子: 4.2
作者:
Romberg, Alexa R.;Lo, Erin J. Miller;King, Brian A.
通讯作者: King, Brian A.
DOI: 10.1097/jom.0000000000000898
发表时间: 2016-12-01
影响因子: 3.2
作者:
Syamlal, Girija;Jamal, Ahmed;Mazurek, Jacek M.
通讯作者: Mazurek, Jacek M.
DOI: 10.1371/journal.pone.0202744
发表时间: 2018
期刊: PloS one
影响因子: 3.7
作者:
Schneller LM;Bansal-Travers M;Goniewicz ML;McIntosh S;Ossip D;O'Connor RJ
通讯作者: O'Connor RJ