共 50 条
Risk factors associated with subsequent initiation of cigarettes and e-cigarettes in adolescence: A structural equation modeling approach
被引:15
|作者:
Kintz, Natalie
[1
]
Liu, Mengyu
[1
,2
]
Chou, Chih-Ping
[1
]
Urman, Robert
[1
]
Berhane, Kiros
[1
]
Unger, Jennifer B.
[1
]
Cruz, Tess Boley
[1
]
McConnell, Rob
[1
]
Barrington-Trimis, Jessica L.
[1
]
机构:
[1] Univ Southern Calif, Dept Prevent Med, Los Angeles, CA 90089 USA
[2] Univ Miami, Dept Publ Hlth Sci, Miami, FL USA
基金:
美国国家卫生研究院;
关键词:
e-cigarettes;
Cigarettes;
Adolescence;
Structural equation models (SEM);
Risk factors;
Prospective cohorts;
Longitudinal analysis;
Epidemiology;
ELECTRONIC CIGARETTE;
SMOKING INITIATION;
TOBACCO SMOKING;
UNITED-STATES;
MARIJUANA USE;
PATTERNS;
EXPOSURE;
SUSCEPTIBILITY;
ADVERTISEMENTS;
PROGRESSION;
D O I:
10.1016/j.drugalcdep.2019.107676
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: Previous youth tobacco research has identified multiple correlated risk factors for initiation of cigarette and e-cigarette use; whether these factors are independently associated with initiation is not known, due to challenges with disentangling the independent effects of these correlated risk factors. Methods: Students in 11th/12th grade enrolled in the Southern California Children's Health Study were surveyed in 2014 (baseline) and again in 2015 (N = 1553). Structural equation models (SEM) were developed to investigate associations of susceptibility, marketing, and the social environment (as latent factors), and other tobacco use at baseline with cigarette or e-cigarette initiation between baseline and follow-up. Analyses were restricted to baseline never cigarette users (N = 1293) for models evaluating cigarette initiation, and to never e-cigarette users (N = 1197) for models evaluating e-cigarette initiation. Results: In fully-adjusted prospective SEM models, latent factors for cigarette susceptibility, marketing, and the social environment, along with ever e-cigarette use and ever hookah use at baseline were independently associated with cigarette initiation between baseline and follow-up (P < 0.05). Similarly, latent factors for e-cigarette susceptibility, marketing, and the social environment, along with ever hookah use at baseline were associated with e-cigarette initiation between baseline and follow-up (P < 0.05); however, cigarette use at baseline was not associated with e-cigarette initiation in SEM models (P = 0.16). Conclusions: We identified independent effects of multiple risk factors in SEM models on initiation of cigarettes and e-cigarettes. E-cigarette use was associated with cigarette initiation, but cigarette use was not associated with e-cigarette initiation in fully adjusted models. Research to identify underlying causal mechanisms is warranted.
引用
收藏
页数:7
相关论文