Determination of Factors Related to the Acceptability of Obesity Tax by Logistic Regression Analysis (Obezite Vergisinin Kabul Edilebilirliğine İlişkin Faktörlerin Lojistik Regresyon Analizi ile Belirlenmesi)

Obesity is a common disease all over the world recently. Obesity poses a significant threat to national and global public health in terms of prevalence, spread, and economic burden. In the international arena, states are taking precautions against obesity. One of these measures is the obesity tax on unhealthy foods. However, although the obesity tax is applied by many states today, the success of this tax will vary depending on the attitudes of individuals towards the obesity tax. In this context, the aim of the research is to determine the factors related to the acceptability of obesity tax by using binary logistic regression analysis, which is one of the logistic regression methods. In the research, data were collected from 504 people on the internet using the convenience sampling technique. As a result of the analysis, it was seen that the views on the obesity tax and obesity culture have a significant effect on the acceptability of the obesity tax. Despite that, weight, education, monthly net income, food consumption, and sports habits variables did not have a significant effect on the acceptability of the obesity tax.