Dutra Lauren M, Glantz Stanton A, Lisha Nadra E, Song Anna V
Center for Tobacco Control Research and Education, University of California, San Francisco, California, United States of America.
Center for Health Policy Science and Tobacco Research, RTI International, Berkeley, California, United States of America.
PLoS One. 2017 Feb 9;12(2):e0171808. doi: 10.1371/journal.pone.0171808. eCollection 2017.
The first goal of this study was to identify the most appropriate measure of cigarette smoking for identifying unique smoking trajectories among adolescents; the second goal was to describe the resulting trajectories and their characteristics. Using 15 annual waves of smoking data in the National Longitudinal Survey of Youth 1997 (NLSY97), we conducted an exploratory latent class growth analysis to determine the best of four outcome variables for yearly smoking (cigarettes per day on days smoked, days smoked per month, mean cigarettes per day, and total cigarettes per month) among individuals aged 12 to 30 (n = 8,791). Days smoked per month was the best outcome variable for identifying unique longitudinal trajectories of smoking and characteristics of these trajectories that could be used to target different types of smokers for prevention and cessation. Objective statistics were used to identify four trajectories in addition to never smokers (34.1%): experimenters (13.6%), quitters (8.1%), early established smokers (39.0%), and late escalators (5.2%). We identified a quitter and late escalator class not identified in the only other comparable latent class growth analysis. Logistic regressions were used to identify the characteristics of individuals in each trajectory. Compared with never smokers, all trajectories except late escalators were less likely to be black; experimenters were more likely to be out of school and unemployed and drink alcohol in adolescence; quitters were more likely to have a mother with a high school degree/GED or higher (versus none) and to use substances in adolescence and less likely to have ever married as a young adult; early established smokers were more likely to have a mother with a high school diploma or GED, be out of school and unemployed, not live with both parents, have used substances, be depressed, and have peers who smoked in adolescence and to have children as young adults and less likely to be Hispanic and to have ever married as young adults; and late escalators were more likely to be Hispanic, drink alcohol, and break rules in adolescence and less likely to have ever married as young adults. Because of the number of waves of data analyzed, this analysis provided a clearer temporal depiction of smoking behavior and more easily distinguishable smoking trajectories than previous analyses. Tobacco control interventions need to move beyond youth-focused approaches to reach all smokers.
本研究的首要目标是确定最适合用于识别青少年独特吸烟轨迹的吸烟衡量指标;第二个目标是描述由此产生的轨迹及其特征。利用1997年全国青年纵向调查(NLSY97)中的15次年度吸烟数据浪潮,我们进行了探索性潜在类别增长分析,以确定12至30岁个体(n = 8791)中年度吸烟的四个结果变量(吸烟日每天的香烟数量、每月吸烟天数、平均每天香烟数量和每月香烟总数)中哪一个最佳。每月吸烟天数是识别独特的纵向吸烟轨迹及其特征的最佳结果变量,这些轨迹可用于针对不同类型的吸烟者进行预防和戒烟。除从不吸烟者(34.1%)外,使用客观统计数据识别出了四种轨迹:尝试吸烟者(13.6%)、戒烟者(8.1%)、早期固定吸烟者(39.0%)和后期递增吸烟者(5.2%)。我们识别出了一个戒烟者类别和一个后期递增吸烟者类别,这在唯一一项其他可比的潜在类别增长分析中未被识别出来。使用逻辑回归来识别每个轨迹中个体的特征。与从不吸烟者相比,除后期递增吸烟者外,所有轨迹的个体为黑人的可能性都较小;尝试吸烟者在青少年时期更有可能辍学、失业和饮酒;戒烟者的母亲更有可能拥有高中文凭/普通教育发展证书或更高学历(相对于无学历),并且在青少年时期使用过毒品,而在年轻时结婚的可能性较小;早期固定吸烟者的母亲更有可能拥有高中文凭或普通教育发展证书,辍学、失业,不与父母双方同住,使用过毒品,抑郁,在青少年时期有吸烟的同龄人,并且在年轻时育有子女,而不太可能是西班牙裔,在年轻时结婚的可能性也较小;后期递增吸烟者更有可能是西班牙裔,在青少年时期饮酒和违反规则,在年轻时结婚的可能性较小。由于分析的数据浪潮数量,本分析提供了比以往分析更清晰的吸烟行为时间描述和更容易区分的吸烟轨迹。烟草控制干预措施需要超越以青年为重点的方法,以覆盖所有吸烟者。