Jackson Inimfon, Osaghae Ikponmwosa, Etuk Aniekeme, Jackson Nsikak
Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, University of Texas Health Science Centre at Houston, Texas, USA.
Department of Management, Policy and Community Health, University of Texas School of Public Health, University of Texas Health Science Centre at Houston, Houston, Texas, USA.
J Adolesc Young Adult Oncol. 2021 Oct;10(5):588-598. doi: 10.1089/jayao.2020.0104. Epub 2020 Sep 30.
This study describes the prevalence trends of electronic cigarette (e-cigarette) use in young adult cancer survivors and compares these to the prevalence among young adults without a cancer history. It also examines the association between conventional cigarette use, binge drinking, depression, and other sociodemographic factors, and e-cigarette use in young adult cancer survivors. Cross-sectional analyses, using the Behavioral Risk Factor Surveillance System, 2016-2018, were done. Multivariable logistic regression was used to examine the associations between conventional cigarette use, binge drinking, and depression as well as other factors associated with e-cigarette use in young adult cancer survivors. Lifetime e-cigarette use increased from 40.1% in 2016 to 47.4% in 2018. Former smokers were 5.47 times (95% confidence interval [CI]: 3.48-8.61) more likely to be lifetime e-cigarette users and 1.9 times (95% CI: 1.12-3.23) more likely to be current e-cigarette users compared to never smokers. Current smokers were over sixteen folds more likely (adjusted odds ratio: 16.50, 95% CI: 11.59-23.57) to be lifetime e-cigarette users and 2.1 times (95% CI: 1.24-3.57) more likely to be current e-cigarette users relative to never smokers. Furthermore, binge drinking and depression were associated with higher odds of lifetime e-cigarette use, while increasing age was associated with lower odds of e-cigarette use. Compared to females, males were significantly more likely to be current users of e-cigarettes relative to former users. Conventional cigarette use, binge drinking, depression, age, and gender were found to be associated with e-cigarette use among young adult cancer survivors. Policies targeted at e-cigarette control among young adult cancer survivors need to be multipronged, simultaneously addressing other harmful practices such as binge drinking and the use of conventional cigarettes.
本研究描述了年轻成年癌症幸存者中电子烟使用的流行趋势，并将其与无癌症病史的年轻成年人中的流行情况进行比较。研究还考察了传统香烟使用、暴饮、抑郁及其他社会人口学因素与年轻成年癌症幸存者电子烟使用之间的关联。利用2016 - 2018年行为危险因素监测系统进行了横断面分析。采用多变量逻辑回归分析来研究传统香烟使用、暴饮和抑郁以及其他与年轻成年癌症幸存者电子烟使用相关因素之间的关联。终生电子烟使用率从2016年的40.1%上升至2018年的47.4%。与从不吸烟者相比，曾经吸烟者成为终生电子烟使用者的可能性高5.47倍（95%置信区间[CI]：3.48 - 8.61），成为当前电子烟使用者的可能性高1.9倍（95% CI：1.12 - 3.23）。与从不吸烟者相比，当前吸烟者成为终生电子烟使用者的可能性高出十六倍多（调整优势比：16.50，95% CI：11.59 - 23.57），成为当前电子烟使用者的可能性高2.1倍（95% CI：1.24 - 3.57）。此外，暴饮和抑郁与终生电子烟使用的较高几率相关，而年龄增长与电子烟使用几率较低相关。与女性相比，男性相对于曾经使用者而言成为当前电子烟使用者的可能性显著更高。研究发现，传统香烟使用、暴饮、抑郁、年龄和性别与年轻成年癌症幸存者的电子烟使用相关。针对年轻成年癌症幸存者的电子烟控制政策需要多管齐下，同时应对其他有害行为，如暴饮和传统香烟的使用。
