Prospective association between e‐cigarette use frequency patterns and cigarette smoking abstinence among adult cigarette smokers in the United States
Abstract
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+ years) who smoked cigarettes and did not vape at wave 1. Measurements The exposure was vaping frequency at waves 2 and 3 (non‐use, non‐daily use, daily use), representing nine possible combinations of vaping frequency across two waves. Non‐use at both waves was the exposure reference group. The primary outcome was sustained 12‐month cigarette smoking abstinence at wave 4. Findings Among 5699 adults who smoked cigarettes at wave 1, a total of 560 (9.8%) reported smoking abstinence at wave 4. Compared with nonuse at both waves, daily vaping at both waves [risk ratio (RR) = 3.82, 95% confidence interval (CI) = 2.59–5.64] and non‐use at wave 2 followed by daily vaping at wave 3 (RR = 2.50, 95% CI = 1.66–3.77) were…
How strong is the evidence?
Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 5,699 participants or records.
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