作者: Alexandra N. Houston-Ludlam , Kathleen K. Bucholz , Julia D. Grant , Mary Waldron , Pamela A.F. Madden
DOI: 10.1016/J.DRUGALCDEP.2019.02.014
关键词: Nicotine dependence 、 Birth Year 、 Pregnancy 、 Childbirth 、 Cohort 、 Demography 、 Medicine 、 Logistic regression 、 Maternal smoking 、 Smoking cessation
摘要: Abstract Background Understanding differences in nicotine dependence assessments’ ability to predict smoking cessation is complicated by variation quit attempt contexts. Pregnancy reduces this variation, as each pregnant smoker receives the same strong incentive. Cigarette during pregnancy (SDP) provides a powerful paradigm for analyzing interplay between measures and sociodemographics predicting failure. Methods Data from female twin cohort (median birth year 1980), assessed teens early twenties, were merged with records identify those history who experienced childbirth (N = 1657 births, N = 763 mothers). Logistic regression SDP, function of record sociodemographic variables, generated risk-score. Further analysis incorporated risk-score data research interviews on DSM-IV-Nicotine Dependence symptom count, Heaviness Smoking Index. Results Low maternal educational level, younger age at childbirth, being unmarried all contributed risk SDP. In addition risk-score, best predictors SDP included HSI-score (OR:1.51), their two-way interaction (OR:0.39; reduced impact intermediate-high risk), of ≥ two failed attempts (OR:1.38), dummy variable prior time assessment (OR:1.82). symptoms underperformed Index did not improve prediction when added model. Conclusions The 2-item measure report performed contribution either was diminished increased levels risk.