Related Experiment Video
Updated: Jan 8, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Predictors of Quit Attempts and Successful Smoking Abstinence in Pregnancy: An Exploratory Analysis of a Pooled
Hannah Igoe1, Joanne Emery2, Felix Naughton2
1Centre for Academic Primary Care, Lifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, UK.
Introduction:
Smoking in pregnancy is a preventable cause of detrimental effects on mother and baby, exacerbating socioeconomic health disparities. This study investigates predictors of making a quit attempt and smoking abstinence in pregnancy.
Methods:
This study used pooled data from two large UK multicenter smoking cessation intervention trials in pregnancy (N = 1409). Baseline predictor variables included demographic, smoking behavior, and quitting belief measures. Percentage of cigarettes cut down in early pregnancy was a novel variable. Outcomes (36 weeks' gestation) were having made a quit attempt (>24 hours) and smoking abstinence (both self-reported). Exploratory logistic regression analyses, with missing smoking outcomes imputed as non-abstinent, involved univariate then multivariable analyses. Sensitivity analyses included complete case analyses and biochemically validated abstinence.
Results:
A total of 1409 women were included in study analyses. In multivariable analyses, for making a quit attempt, higher intention to quit (OR = 1.50, 95% CI = 1.26% to 1.79%) and higher combined self-efficacy score (OR = 1.60, 95% CI = 1.30% to 1.96%) were statistically significant predictors. For smoking abstinence, higher percentage reduction in number of cigarettes smoked in early pregnancy (OR = 1.02, 95% CI = 1.01% to 1.02%) and longer previous quit attempt (omnibus p = .001) were statistically significant predictors.
Conclusions:
Smoking beliefs, including motivational factors, were statistically significant predictors of making a quit attempt. However, smoking behaviors relating to cutting down the number of cigarettes in early pregnancy and having had a previous period of smoking abstinence >6 weeks were predictors of successful smoking abstinence.
Implications:
This study adds to the evidence that motivational factors are important in initiating a quit attempt, whereas positive behavioral changes are associated with smoking abstinence in pregnant women. This information could be used by clinicians designing smoking abstinence support for pregnant women. Women who reduce the number of cigarettes they smoke very early in pregnancy might be more receptive to smoking abstinence support offered at that point.
More Related Videos
06:39Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements
Published on: August 28, 2017
05:13Preclinical Model of Prenatal Delta-9-Tetrahydrocannabinol Exposure to Assess Its Impact on Neurodevelopmental Outcomes
Published on: February 28, 2025
Related Concept Videos
Statistical Methods for Analyzing Epidemiological Data
Upper Respiratory Drugs: Antitussives, Expectorants, and Mucolytics
Antitussives include codeine, dextromethorphan (Robitussin), and benzonatate (Tessalon). Codeine and dextromethorphan exert their effects centrally by suppressing the cough reflex center in the medulla. Benzonatate operates peripherally within the respiratory tract by...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Stress Prevention and Stress Management Techniques IV
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
Regression Toward the Mean