The Effect of Education Based on Health Belief Model on Smoking Behaviors of Visually Impaired Individuals

Plain-language summary

Health is a main human right and a need for every human being. However, due to some congenital or acquired reasons, individuals may be disabled and cannot participate in social life at the same level as their normally developing peers. The gradual increase in the world population, the advances in the treatment of chronic diseases and the prolongation of life expectancy at birth, along with the increase in economic, social and psychological problems and deterioration in environmental conditions show that the number of disabled individuals will increase in the future. Diseases caused by the use of tobacco and tobacco products rank first among preventable diseases in the world, and tobacco use is a very important public health problem. Nurses use various models developed as a guide in developing goals for lifestyle change in individuals and in interventions to achieve this. One of the studies they conduct based on the models is smoking cessation. It is believed that the studies to be carried out will strengthen the perceptions of individuals about protecting and improving their health and will guide the way in which the obstacles to smoking cessation can be perceived and resolved more easily. Based on this, it is thought that the smoking cessation study to be carried out by using HBM in visually impaired individuals will draw attention to unhealthy lifestyle behaviors and smoking addiction, which is one of these behaviors. The study was designed experimentally with "pretest-posttest control group". Before and after the planned smoking cessation training given based on HBM, the scores of Fagerström Nicotine Dependence Test and the smoking cessation scale according to HBM and hemoglobin and CO measurement values of the visually impaired individuals will be compared. Statistical package program will be used for coding, statistical analysis and evaluation of the data to be obtained from the study. T-test will be used in independent groups and t-test in dependent groups depending on the distribution features of the data in the statistical analysis. The normality distribution of the data will be evaluated by Wilk's, Kurtosis and Skewness coefficients. In the data distributed normally, non-parametric tests, Kruskal Wallis test or Mann-Whitney test will be used, and parametric tests, dependent and independent groups' t-test in two variables and ANOVA (analysis of variance) will be used in two or more variables.

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