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ABSTRACT: Aims
To estimate the association of longitudinal patterns of e-cigarette use with cigarette smoking abstinence, after accounting for time-dependent confounding and selection bias.Design
Secondary analysis of longitudinal national cohort data. Using marginal structural models and four waves of the population assessment of tobacco and health (wave 1, 2013-14; wave 2, 2014-15; wave 3, 2015-16; wave 4, 2016-18), we estimated the association of vaping frequency across waves 2 and 3 with 12-month sustained cigarette smoking abstinence at wave 4, adjusting for time-dependent confounders at waves 1 and 2 and selection bias due to drop-out with inverse probability of treatment and censoring weights.Setting
United States.Participants/cases
A total of 5699 adults (18+
SUBMITTER: Harlow AF
PROVIDER: S-EPMC9804676 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature