Department of Human Development, California State University, Long Beach, CA 90840, USA.
Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90032, USA; Department of Psychology, University of Southern California, Los Angeles, CA 90033, USA; USC Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA.
Drug Alcohol Depend. 2020 Nov 1;216:108258. doi: 10.1016/j.drugalcdep.2020.108258. Epub 2020 Aug 28.
The myriad of e-cigarette devices and flavors used by young adults (YAs) complicates identification of the particular e-cigarette products that are associated with more frequent tobacco use and merit consideration for regulation. The current study used latent class analysis to identify distinct patterns of e-cigarette device and flavor use and evaluate their association with vaping and smoking frequency.
Cross-sectional survey data (2018-2019) from a Southern California cohort were analyzed. YAs reporting past 30-day nicotine vaping (N = 550; M age = 19.2 years) self-reported e-cigarette device type/brand and flavor. Six device (e-cig/vape pen, mech mod, box mod, JUUL, non-JUUL pod, disposable) and three flavor (tobacco, mint/menthol, sweet/fruit) indicators were included in a latent class analysis. Past 30-day nicotine vaping and cigarette smoking frequency were assessed as correlates of device and flavor class membership.
Three classes were identified: Any Pod-Mint/Menthol or Sweet/Fruit Flavor Users (prevalance:47%); Non-JUUL-Sweet/Fruit Flavor Users (28%); and Poly-Device-Poly-Flavor Users (25%). Greater frequency of vaping and smoking were associated with higher odds of belonging to the Poly-Device-Poly-Flavor Users class vs. the Any Pod-Mint/Menthol or Sweet/Fruit Flavor Users (vaping: aOR[95%CI] = 1.36[1.16, 1.59], p < .001; smoking: aOR[95%CI] = 1.25[1.02, 1.54], p = .03) and Non-JUUL-Sweet/Fruit Flavor Users (vaping: aOR[95%CI] = 1.30[1.10, 1.53], p < .01; smoking: aOR[95%CI] = 1.42[1.07, 1.88], p = .02) classes.
Although YAs that predominately used pod devices alongside non-tobacco flavors were most common, YAs characterized by a proclivity toward using many different devices and flavors were appreciably prevalent and smoked and vaped more frequently. Regulations targeting a wide spectrum of vaping products may be optimal in protecting YA health.
年轻人（YA）使用的电子烟设备和口味繁多，这使得识别与更频繁的烟草使用相关并值得监管的特定电子烟产品变得复杂。本研究使用潜在类别分析来识别电子烟设备和口味使用的不同模式，并评估它们与蒸气和吸烟频率的关联。
分析了来自南加州队列的横断面调查数据（2018-2019 年）。报告过去 30 天尼古丁蒸气（N=550；平均年龄=19.2 岁）的 YA 自我报告电子烟设备类型/品牌和口味。在潜在类别分析中包含了六种设备（电子烟/ vape 笔、机械修改器、盒式修改器、JUUL、非 JUUL 烟弹、一次性）和三种口味（烟草、薄荷/薄荷醇、甜/水果）指标。过去 30 天尼古丁蒸气和香烟吸烟频率被评估为设备和口味类别成员的相关性。
确定了三个类别：任何 Pod-Mint/Menthol 或 Sweet/Fruit Flavor Users（流行率：47%）；非 JUUL-Sweet/Fruit Flavor Users（28%）；和 Poly-Device-Poly-Flavor Users（25%）。与属于任何 Pod-Mint/Menthol 或 Sweet/Fruit Flavor Users 类别的 YA 相比，吸烟和吸烟频率更高的可能性更大（蒸气：aOR[95%CI]=1.36[1.16, 1.59]，p<.001；吸烟：aOR[95%CI]=1.25[1.02, 1.54]，p=0.03）和非 JUUL-Sweet/Fruit Flavor Users（蒸气：aOR[95%CI]=1.30[1.10, 1.53]，p<.01；吸烟：aOR[95%CI]=1.42[1.07, 1.88]，p=0.02）。
尽管主要使用烟弹设备和非烟草口味的 YA 最为常见，但明显更普遍的是，偏好使用多种不同设备和口味的 YA 吸烟和蒸气更为频繁。针对广泛的蒸气产品进行监管可能是保护 YA 健康的最佳选择。
