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Investigating gateway effects using the PATH study
F1000Research
|January 21, 2020
Summary
Confounding factors significantly explain the observed "gateway effect" of e-cigarette use leading to cigarette smoking in youth. Further research is needed to fully understand this association.
Area of Science:
- Public Health
- Tobacco Control
- Adolescent Health
Background:
- Previous meta-analysis indicated e-cigarette use predicts future cigarette smoking initiation in youth.
- The
- gateway effect
- hypothesis suggests e-cigarette use leads to traditional smoking.
- Limited consideration of confounding factors in prior studies necessitates further investigation.
Purpose of the Study:
- To investigate the potential for confounding in the association between e-cigarette use and subsequent cigarette smoking initiation.
- To re-evaluate the
- gateway effect
- using a more comprehensive adjustment for confounders.
- To utilize data from the Population Assessment of Tobacco and Health (PATH) study, Waves 1 and 2.
Main Methods:
- Propensity score analysis was used to adjust for baseline confounders in Wave 1 never cigarette smokers.
- Sensitivity analyses included adjustment for other tobacco product use and residual confounding.
- Analyses examined Wave 1 e-cigarette use predicting Wave 2 cigarette smoking initiation.
Main Results:
- Adjustment for propensity scores significantly reduced the odds ratio for e-cigarette use predicting smoking initiation.
- Further adjustment for other tobacco products further diminished the observed association.
- Sensitivity analyses confirmed that confounding accounted for the majority of the apparent gateway effect.
Conclusions:
- Confounding is a substantial contributor to the observed association between adolescent e-cigarette use and subsequent cigarette smoking.
- The
- gateway effect
- is largely explained by unmeasured or inadequately measured confounding variables.
- Further research with larger sample sizes and longitudinal data is recommended to clarify residual associations.

