Factors associated with transitions in tobacco product use states among young adults aged 18-29 years

被引:0
|
作者
Blank, Melissa D. [1 ,2 ,6 ]
Turiano, Nicholas A. [1 ,2 ]
Bray, Bethany C. [3 ]
Milstred, Andrea R. [1 ]
Childers, Margaret [1 ]
Dino, Geri [2 ]
Romm, Katelyn F. [4 ,5 ]
机构
[1] West Virginia Univ, Dept Psychol, Morgantown, WV USA
[2] West Virginia Univ, West Virginia Prevent Res Ctr, Dept Social & Behav Sci, Sch Publ Hlth, Morgantown, WV USA
[3] Univ Illinois, Inst Hlth Res & Policy, Chicago, IL USA
[4] Univ Oklahoma, TSET Hlth Promot Res Ctr, Stephenson Canc Ctr, Hlth Sci Ctr, Oklahoma City, OK USA
[5] Univ Oklahoma, Dept Pediat, Hlth Sci Ctr, Oklahoma City, OK USA
[6] West Virginia Univ, Dept Psychol, 53 Campus Dr, 2214 Life Sci Bldg, Morgantown, WV 26506 USA
来源
AMERICAN JOURNAL ON ADDICTIONS | 2024年 / 33卷 / 04期
基金
美国国家卫生研究院;
关键词
MENTAL-HEALTH; DISORDERS; PATTERNS; SMOKING;
D O I
10.1111/ajad.13524
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
Background and ObjectivesThis study examined young adults' tobacco use transitions based on their past 30-day use states, and identified factors associated with their transitions.MethodsParticipants (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.ResultsMost 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).Discussion and ConclusionsFew sampled young adults escalated their tobacco use over time, and escalations for many products were predicted by similar factors.Scientific SignificancePrevention 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.
引用
收藏
页码:409 / 422
页数:14
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