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METHODS Data were from 3291 youth (aged 10-15) and 35,367 grownups (aged 16+) from wave 7 (2015-17) of the UK Household Longitudinal learn. In order to adjust for biases that may be introduced by stratifying on cigarette smoking status, marginal structural models were used to estimate managed direct aftereffects of an index of socioeconomic downside (integrating household education, career and income) on vaping by smoking status (among adults and yout