Examining the latent factor structure of a hypothetical cigarette purchase task among pregnant women

The cigarette purchase task (CPT) is a valid behavioral-economic measure of demand that has smokers estimate hypothetical cigarette consumption under a range of escalating prices. The task involves no experimenter exposure of participants to smoking. CPT demand is measured in terms of five indices: intensity (cigarettes consumed at $0), O_max (largest expenditure), Pmax (price associated with peak expenditure), breakpoint (the first price at which consumption is 0), and elasticity (rate at which consumption changes as a function of increasing price). Out of concern for collinearity, prior studies investigated a more parsimonious CPT latent-factor structure for these derived indices consisting of two factors. The present study examined whether the same two latent-factor solutions extend to pregnant women who smoke. Six hundred sixty-five women completed the CPT as part of recruitment for a clinical trial examining the efficacy of a remote contingency-management intervention to promote smoking cessation during pregnancy. Factor analysis confirmed a two-factor solution to the CPT accounting for 87% of the variance in the five indices with demand intensity and O_max loading onto amplitude and O_max, P_max, breakpoint, and elasticity loading onto persistence. Backward elimination regression revealed a significant negative relationship between amplitude and persistence (i.e., lower amplitude and persistence scores predicted a higher likelihood of making at least one quit attempt upon learning of pregnancy). These results further support the utility of the CPT for experimentally examining individual differences in smoking among pregnant women in an efficient and ethical manner that does not involve exposing them to cigarette smoke. (PsycInfo Database Record (c) 2023 APA, all rights reserved).