PROSPECTIVELY ESTIMATING THE AGE OF INITIATION OF E-CIGARETTES AMONG U.S. YOUTH: FINDINGS FROM THE POPULATION ASSESSMENT OF TOBACCO AND HEALTH (PATH) STUDY, 2013-2017.

Journal of biometrics & biostatistics Pub Date : 2020-01-01 Epub Date: 2020-05-19
Adriana Pérez, Meagan Bluestein, Baojiang Chen, Cheryl L Perry, Melissa B Harrell
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Abstract

Context: There is a lack of research that prospectively estimates the age of initiation of electronic cigarette use in U.S. youth. Younger ages of initiation of tobacco product use are associated with greater exposure to nicotine, and recently e-cigarette use has been associated with subsequent cigarette initiation. This study sought to estimate the distribution of the age of first reporting of e-cigarette use outcomes among youth never e-cigarette users overall, by sex and by race/ethnicity, prospectively.

Methods: Secondary analysis of the Population Assessment of Tobacco and Health (PATH) youth dataset (ages 12-17) across waves 1 (2013-2014), 2 (2014-2015), 3 (2015-2016), and 4 (2016-2017) were conducted. Four outcomes are presented, age of first report of: (i) susceptibility to use, (ii) ever use, (iii) past 30-day use, and (iv) "fairly regular" e-cigarette use. Each outcome was prospectively estimated using participant age when they entered the study and the number of weeks between the last report of never use and the first report of each outcome across waves. Weighted survival analyses for interval censoring accounting for the complex survey design were implemented.

Results: Among youth non-susceptible to e-cigarettes, 50.2% became susceptible to e-cigarette use by age 18. There were no statistically significant differences in the age of first report of susceptibility to e-cigarette use by sex or by race/ethnicity in this nationally representative sample of U.S. youth. Among never users, 41.7%, 23.5% and 10.3% initiated ever, past 30-day and "fairly regular" e-cigarette use by the age of 18, respectively. Less than 10% initiated ever e-cigarette use between the ages of 18 and 21. Boys had a higher risk of first reporting ever, past 30-day and "fairly regular" e-cigarette use at earlier ages than girls. Non-Hispanic Blacks and Other racial/ethnic groups were less likely than Non-Hispanic Whites to initiate ever e-cigarette use at earlier ages, and there was no difference between Non-Hispanic Whites and Hispanics. Hispanic, Non-Hispanic Black and Other racial/ethnic youth were less likely to first report past 30-day use and "fairly regular" e-cigarette use at earlier ages than Non-Hispanic White youth.

Conclusion: This paper provides information on specific ages of the first report of e-cigarette use behaviors by sex and by race/ethnicity that can be used to culturally tailor e-cigarette interventions on specific windows of opportunity before youth begin using e-cigarettes or escalating their use.

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前瞻性估计美国青少年开始吸电子烟的年龄:2013-2017年烟草与健康(路径)研究的人口评估结果。
背景:缺乏对美国青少年开始使用电子烟年龄进行前瞻性估计的研究。开始使用烟草制品的年龄越小,接触尼古丁越多,最近使用电子烟与随后开始吸烟有关。本研究试图按性别和种族/民族前瞻性地估计从未使用过电子烟的青少年首次报告电子烟使用结果的年龄分布。方法:对第1波(2013-2014)、第2波(2014-2015)、第3波(2015-2016)和第4波(2016-2017)进行烟草与健康人口评估(PATH)青少年数据集(12-17岁)的二次分析。提出了四种结果,首次报告的年龄:(i)使用易感性,(ii)曾经使用,(iii)使用30天以上,(iv)“相当规律地”使用电子烟。每个结果都是通过参与者进入研究时的年龄和最后一次报告从不使用和第一次报告每个结果之间的周数进行前瞻性估计的。考虑到复杂的调查设计,对区间筛选进行加权生存分析。结果:在对电子烟不敏感的青少年中,50.2%的人在18岁之前对电子烟敏感。在这个具有全国代表性的美国青年样本中,首次报告电子烟易感性的年龄在性别或种族/民族方面没有统计学上的显著差异。在从未吸过电子烟的人群中,分别有41.7%、23.5%和10.3%的人在18岁之前开始吸电子烟、吸了30天以上、“相当有规律地”吸电子烟。不到10%的人在18至21岁之间开始使用电子烟。与女孩相比,男孩在更早的年龄首次报告使用电子烟的风险更高,超过30天,并且“相当有规律”地使用电子烟。非西班牙裔黑人和其他种族/族裔群体比非西班牙裔白人更不可能在更早的年龄开始使用电子烟,非西班牙裔白人和西班牙裔之间没有差异。与非西班牙裔白人青年相比,西班牙裔、非西班牙裔黑人和其他种族/族裔青年首次报告使用超过30天的电子烟和“相当规律”的早期电子烟的可能性较小。结论:本文提供了按性别和种族/民族划分的电子烟使用行为第一份报告的特定年龄的信息,可用于在青少年开始使用电子烟或升级使用电子烟之前针对特定机会窗口进行文化定制电子烟干预。
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PROSPECTIVELY ESTIMATING THE AGE OF INITIATION OF E-CIGARETTES AMONG U.S. YOUTH: FINDINGS FROM THE POPULATION ASSESSMENT OF TOBACCO AND HEALTH (PATH) STUDY, 2013-2017. The Kumaraswamy-Rani Distribution and Its Applications Analytical Visual Methods to Describe Practice Patterns in a Newly Diagnosed Multiple Myeloma Non-Interventional Disease Registry Short Prognostic APP for Multiple Myeloma Sample Size Charts for Spearman and Kendall Coefficients
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