Factors affecting smoking behavior among tobacco farmers. In Sukhothai

Abstract

This descriptive study research is a with the purpose 1) to study the smoking behavior of male tobacco plantation farmers in Sukhothai province 2) to study the factors affecting the smoking of male tobacco farmers in Sukhothai province. The population in this study was 1,322 male tobacco farmers of Sukhothai province, using a calculation the sample method in the study more than or equal to 30 times of the predictive variables number, and resulted in a sample were 480 peoples. The stratified random sampling method is used by random the sub-district at first, followed by random villages and household respectively, and divided samples according to the proportion of the study area. The study conducted  during January to March 2020. The instrument used in this research and data analytics by used percentage, mean, standard deviation and multiple binary logistic regression. Obtained background information for the study of the smoking problem of male tobacco farmers. The results of the study will be a guideline for the prevention of smoking behavior of male tobacco farmers. The result of the study can be used to prepare relelevant policies or laws for this problem.

 The result of the research shows that the most of the male farmers of the tobacco farmers   sample groups in Sukhothai province were aged 46-50 years is 24. And had narital status were 88 .1   percent, The most period of being a tobacco farmer are 6-10 years old with 37.9 percent of them. The average of tobacco farmer is 13.47 years. 89.0 percent of them being the tobacco growing laborers, the most farmers grow Burley tobacco with 90.4 percent of them. The most farmer collected the dried   tobacco leaves was 81.2 percent. The samples had alcohol drinking behaviors 38.9 percent in important traditional events. The samples had smoking behaviors 46.7 percent. For the factors that affect the smoking behavior of male tobacco farmers in Sukhothai province is a study of tobacco farming status, tobacco harvesting locations, alcohol drinking behavior, having colleagues who smoke, smoking attitude,    awareness of knowing smoking effects, and stress. Able to explain the variation of the dependent     variable namely smoking behavior with 65.4 percent.