Logistic Regression Analysis: New Nurses' Impact on Tobacco Cessation

Nurses can help patients identify triggers that lead to nicotine craving, giving him more insight into the issue. The importance of tobacco use cessation, the influence and the primary role that the RNs could have in addressing tobacco use cessation, emphasize the need for nursing students to be prepared in college to provide cessation intervention to patients. The views of new nurses entering the workforce to impact tobacco cessation are of concern each of us. A secondary data analysis is being conducted in this book. It will estimate tobacco use history, beliefs about smoking, knowledge about tobacco treatment, self-efficacy, and behavioral application of cessation interventions among Minnesota private and public college nursing students, and will explore the demographic variables that predicted that behavior. Logistic regression is used for prediction of the probability of occurrence of an event. Thus, the logistic regression model will be used to examine school type and demographic variables as predictors of smokers and non-smokers characteristics.