Subtypes of Dual Users of Combustible and Electronic Cigarettes: Longitudinal Changes in Product Use and Dependence Symptomatology

被引:5
作者
Buu, Anne [1 ]
Tong, Zhaoxue [2 ]
Cai, Zhanrui [3 ]
Li, Runze [2 ]
Yang, James [4 ]
Jorenby, Douglas E. [5 ]
Piper, Megan E. [5 ]
机构
[1] Univ Texas Hlth Sci Ctr Houston, Dept Hlth Promot & Behav Sci, 7000 Fannin St, Houston, TX 77030 USA
[2] Penn State Univ, Dept Stat, 413 Thomas Bldg, University Pk, PA 16802 USA
[3] Iowa State Univ, Dept Stat, 2438 Osborn Dr, Ames, IA 50011 USA
[4] Univ Texas Hlth Sci Ctr Houston, Dept Biostat & Data Sci, 1200 Pressler St, Houston, TX 77030 USA
[5] Univ Wisconsin, Ctr Tobacco Res & Intervent, 1930 Monroe St,Suite 200, Madison, WI 53711 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
POPULATION ASSESSMENT; TOBACCO;
D O I
10.1093/ntr/ntac151
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
Introduction Cross-sectional surveys found behavioral heterogeneity among dual users of combustible and electronic cigarettes. Yet, prior classification did not reflect dynamic interactions between cigarette and e-cigarette consumption, which may reveal changes in product-specific dependence. The contexts of dual use that could inform intervention were also understudied. Methods This study conducted secondary analysis on 13 waves of data from 227 dual users who participated in a 2-year observational study. The k-means method for joint trajectories of cigarette and e-cigarette consumption was adopted to identify the subtypes of dual users. The time-varying effect model was used to characterize the subtype-specific trajectories of cigarette and e-cigarette dependence. The subtypes were also compared in terms of use contexts. Results The four clusters were identified: light dual users, predominant vapers, heavy dual users, and predominant smokers. Although heavy dual users and predominant smokers both smoked heavily at baseline, by maintaining vaping at the weekly to daily level the heavy dual users were able to considerably reduce cigarette use. Yet, the heavy dual users' drop in cigarette dependence was not as dramatic as their drop in cigarette consumption. Predominant vapers appeared to engage in substitution, as they decreased their smoking and increased their e-cigarette dependence. They were also more likely to live in environments with smoking restrictions and report that their use of e-cigarettes reduced cigarette craving and smoking frequency. Conclusions Environmental constraints can drive substitution behavior and the substitution behavior is able to be sustained if people find the substitute to be effective. Implications This study characterizes subtypes of dual users based on the dynamic interactions between cigarette use and e-cigarette use as well as product-specific trajectories of dependence. The subtypes differ in not only sociodemographic characteristics but also contexts of cigarette and e-cigarette use. Higher motivation to use e-cigarettes to quit smoking and less permissive environment for smoking may promote substitution of cigarettes by e-cigarettes.
引用
收藏
页码:438 / 443
页数:6
相关论文
共 17 条
  • [1] Amemiya T., 1994, INTRO STAT ECONOMETR
  • [2] Adolescent Dual Use Classification and Its Association With Nicotine Dependence and Quit Intentions
    Azagba, Sunday
    Shan, Lingpeng
    Latham, Keely
    [J]. JOURNAL OF ADOLESCENT HEALTH, 2019, 65 (02) : 195 - 201
  • [3] Behavioral heterogeneity among cigarette and e-cigarette dual-users and associations with future tobacco use: Findings from the Population Assessment of Tobacco and Health Study
    Baig, Sabeeh A.
    Giovenco, Daniel P.
    [J]. ADDICTIVE BEHAVIORS, 2020, 104
  • [4] AN INVENTORY FOR MEASURING CLINICAL ANXIETY - PSYCHOMETRIC PROPERTIES
    BECK, AT
    BROWN, G
    EPSTEIN, N
    STEER, RA
    [J]. JOURNAL OF CONSULTING AND CLINICAL PSYCHOLOGY, 1988, 56 (06) : 893 - 897
  • [5] Validating E-Cigarette Dependence Scales Based on Dynamic Patterns of Vaping Behaviors
    Buu, Anne
    Cai, Zhanrui
    Li, Runze
    Wong, Su-Wei
    Lin, Hsien-Chang
    Su, Wei-Chung
    Jorenby, Douglas E.
    Piper, Megan E.
    [J]. NICOTINE & TOBACCO RESEARCH, 2021, 23 (09) : 1484 - 1489
  • [6] The association between short-term emotion dynamics and cigarette dependence: A comprehensive examination of dynamic measures
    Buu, Anne
    Cai, Zhanrui
    Li, Runze
    Wong, Su-Wei
    Lin, Hsien-Chang
    Su, Wei-Chung
    Jorenby, Douglas E.
    Piper, Megan E.
    [J]. DRUG AND ALCOHOL DEPENDENCE, 2021, 218
  • [7] Comparing American college and noncollege young adults on e-cigarette use patterns including polysubstance use and reasons for using e-cigarettes
    Buu, Anne
    Hu, Yi-Han
    Wong, Su-Wei
    Lin, Hsien-Chang
    [J]. JOURNAL OF AMERICAN COLLEGE HEALTH, 2020, 68 (06) : 610 - 616
  • [8] Parental Smoking and E-cigarette Use in Homes and Cars
    Drehmer, Jeremy E.
    Nabi-Burza, Emara
    Walters, Bethany Hipple
    Ossip, Deborah J.
    Levy, Douglas E.
    Rigotti, Nancy A.
    Klein, Jonathan D.
    Winickoff, Jonathan P.
    [J]. PEDIATRICS, 2019, 143 (04)
  • [9] Development of a Questionnaire for Assessing Dependence on Electronic Cigarettes Among a Large Sample of Ex-Smoking E-cigarette Users
    Foulds, Jonathan
    Veldheer, Susan
    Yingst, Jessica
    Hrabovsky, Shari
    Wilson, Stephen J.
    Nichols, Travis T.
    Eissenberg, Thomas
    [J]. NICOTINE & TOBACCO RESEARCH, 2015, 17 (02) : 186 - 192
  • [10] kml and kml3d: R Packages to Cluster Longitudinal Data
    Genolini, Christophe
    Alacoque, Xavier
    Sentenac, Mariane
    Arnaud, Catherine
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2015, 65 (04): : 1 - 34