Beyond experimentation: Five trajectories of cigarette smoking in a longitudinal sample of youth

被引:58
作者
Dutra, Lauren M. [1 ,2 ]
Glantz, Stanton A. [1 ,3 ]
Lisha, Nadra E. [1 ]
Song, Anna V. [4 ]
机构
[1] Univ Calif San Francisco, Ctr Tobacco Control Res & Educ, San Francisco, CA 94143 USA
[2] RTI Int, Ctr Hlth Policy Sci & Tobacco Res, Berkeley, CA USA
[3] Univ Calif San Francisco, Dept Med, San Francisco, CA 94143 USA
[4] Univ Calif Merced, Psychol Sci Hlth Sci Res Inst, Merced, CA USA
基金
美国国家卫生研究院;
关键词
CLASS GROWTH ANALYSIS; DEVELOPMENTAL TRAJECTORIES; EARLY ADOLESCENCE; COLLEGE-STUDENTS; PREDICT INSOMNIA; NATURAL-HISTORY; EARLY ADULTHOOD; FREE HOMES; POPULATION; SMOKERS;
D O I
10.1371/journal.pone.0171808
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
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.
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页数:17
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