Determining the Factors Affecting Elders' Smoking Habit: Estimation Through Logistical Regression Analyses

Abstract

ABS TRACT Objective: Cigarette, which contains many substances that harm the human body. causes many lethal diseases such as cancer, heart and lung diseases. The Ministry of Health and some associations are struggling with smoking, and many scientific studies are carried out on the subject. In most of the studies adolescence, early youth and youth smoking are investigated. In this study, smoking habits of middle age and older age groups were investigated. Material and Methods: A questionnaire was applied to determine the factors affecting smoking. In addition to demographic questions, variables that may have an effect on smoking were investigated by using the logistic regression model by asking the respondents “do you believe that smoking causes cancer?” and “do you think smoking is a violation of your beliefs?” Results: Although the role of mother and father in smoking was higher in childhood and youth, they could not enter the model. Even the mother’s smoking was found to be the most meaningless and the first removed variable from the model. This can be because of the study sample is too old to mimic mother and father. It was found that the siblings were more likely to smoke because they were more likely to affect each other. The variable with the greatest effect size is whether or not to believe that smoking causes cancer. The probability of smoking is 7.13 times higher for those who do not believe that smoking causes cancer. Conclusion: The rate of quitting smoking increases in diseases where smoking damage is more clearly seen. Approximately half of the patients who smoked and underwent pulmonary nodule followup quitted smoking when they learned about the risk of malignancy of the nodule. More impressive presentations can be prepared by relevant institutions by evaluating new research and findings on the subject.