Department of Psychology, West Virginia University, Morgantown, West Virginia, USA.
West Virginia Prevention Research Center, Department of Social and Behavioral Sciences, School of Public Health, West Virginia University, Morgantown, West Virginia, USA.
Am J Addict. 2024 Jul;33(4):409-422. doi: 10.1111/ajad.13524. Epub 2024 Feb 25.
This study examined young adults' tobacco use transitions based on their past 30-day use states, and identified factors associated with their transitions.
Participants (N = 12377) were young adults aged 18-29 years at Wave 1 of the Population Assessment of Tobacco and Health (PATH) study. Self-reported tobacco use states were categorized by the number of past-month use days (0, 1-4, 5-8, 9-12, 13-30 days) for cigarettes, electronic cigarettes [e-cigarettes], traditional cigars, filtered cigars, cigarillos, smokeless tobacco (SLT), and hookah. Multistate Markov models examined transitions between use states across Waves 1-5 of unweighted PATH data and multinomial logistic regressions examined predictors of transitions.
Most young adults remained nonusers across adjacent waves for all products (88%-99%). Collapsed across waves, transitioning from use at any level to nonuse (average 46%-67%) was more common than transitioning from nonuse to use at any level (average 4%-10%). Several factors that predicted riskier patterns of use (i.e., transitioning to use and/or remaining a user across adjacent waves) were similar across most products: male, Black, Hispanic, lower education levels, and lower harm perceptions. In contrast, other factors predicted riskier patterns for only select products (e.g., e-cigarette and SLT use among Whites).
Few sampled young adults escalated their tobacco use over time, and escalations for many products were predicted by similar factors.
Prevention and regulatory efforts targeted towards adolescents should continue, but also be expanded into young adulthood. These same efforts should consider both shared and unique factors that influence use transitions.
本研究基于过去 30 天的使用状态,考察了年轻人的烟草使用转变,并确定了与这些转变相关的因素。
参与者(N=12377)为参加人口烟草与健康评估(PATH)研究第一波时年龄在 18-29 岁的年轻人。根据过去一个月的使用天数(0、1-4、5-8、9-12、13-30 天),将自我报告的烟草使用状态分类为香烟、电子烟、传统雪茄、过滤雪茄、小雪茄、无烟烟草和水烟。多状态马尔可夫模型分析了未加权 PATH 数据第一至第五波使用状态之间的转变,多分类逻辑回归分析了转变的预测因素。
对于所有产品,大多数年轻人在相邻波之间保持非使用者状态(88%-99%)。跨波分析显示,从任何水平的使用转变为非使用(平均 46%-67%)比从不使用转变为任何水平的使用(平均 4%-10%)更为常见。一些预测风险更大的使用模式的因素(即向使用转变和/或在相邻波之间保持使用者状态)在大多数产品中相似:男性、黑人、西班牙裔、较低的教育水平和较低的危害认知。相比之下,其他因素仅预测了某些产品(如电子烟和无烟烟草的使用)的风险更大的模式。
很少有抽样的年轻人随着时间的推移增加烟草使用量,许多产品的增加是由类似的因素预测的。
针对青少年的预防和监管工作应继续进行,但也应扩展到青年期。这些相同的努力应该考虑到影响使用转变的共同和独特因素。