Determining the Factors Affecting the Smoking Habits of Individuals: Negative Binomial Regression Analysis(Bireylerin Sigara Alışkanlıklarını Etkileyen Faktörlerin Belirlenmesi: Negatif Binom Regresyon Analizi)

Abstract

Smoking is an important public health problem. Many factors such as age, gender, education, income level and stress affect daily cigarette consumption. Identifying these causes is very important in combating smoking addiction. This study was planned to determine the factors affecting the smoking habits of individuals. The questionnaire was applied to 304 participants who accepted to participate in the study between October and December 2019. Descriptive statistics such as median, mean and frequency were calculated from the data. According to this; 62.8% of the participants are women and 37.2% are men. Average age is 33.18. 62.8% of the participants stated that they do not smoke. Most of the participants who smoke, according to the frequency table, smoke 10 cigarettes a day. Spearman correlation test was used to compare the fit between variables. Negative Binomial regression analyzes were performed to determine the factors affecting smoking habits. Regression models results; it shows that age, education, income, number of children, presence of a smoker in the family, presence of smoker in friends, smoking history variables are effective on individuals' smoking habits. It is important to take non-smokers as role models in society and families. For this reason, a healthy lifestyle can be instilled in the society by determining the factors that cause smoking and taking necessary precautions.

Keywords

• smoking habit
• public health
• statistical analysis
• negative binomial regression
• generalized linear models