The purpose of this paper is to determine predictors of smoking cessation from a sample of pregnant, Medicaid eligible recipients recruited as part of the Smoking Cessation or Reduction in Pregnancy Trial (SCRIPT). The cohort was drawn from a representative sample of Alabama's population of pregnant smokers receiving maternity care at participating public health clinics. Eight hundred and ninety-three women were included in the analysis. These women all had complete data on each of the dependent and independent variables. In this analysis, descriptive statitistics defined the sample, and logistic regression analysis predicted group membership - quitter or smoker. Discriminant function analysis also was used as a comparative procedure. The results from the logistic regression analysis revealed that patient baseline cotinine value, fetal gestational age, exposure to the SCRIPT intervention program, level of addiction, and self-efficacy were predictive of non-smoking status. The logistic model based on these variables correctly classified 78.6% of the non-smokers. These results were confirmed by a stepwise logistic regression in that they were the variables selected as the "best" model.
Learning Objectives: N/A
Keywords: Smoking Cessation, Pregnancy
Presenting author's disclosure statement:
Organization/institution whose products or services will be discussed: None
I do not have any significant financial interest/arrangement or affiliation with any organization/institution whose products or services are being discussed in this session.