พฤติกรรมการใช้สมุนไพรของประชาชนในอำเภอเมือง จังหวัดแม่ฮ่องสอน

Abstract

This research is a survey research to study behavior and factors related to herbal use behavior of people in Mueang district. Mae Hong Son province. The population used in this study was people aged 25 – 59 years both male and female that live in Mueang district from 7 sub-districts include Chong Kham, Huai Pong, Pha Bong, Pang Mu, Mok Cham Pae, Huai Pha, and Huai Pu Ling sub-district, got a total of 389 people. This study collected data by questionnaire. The data were analyzed using descriptive statistics, Chi-square statistics, and Pearson's Product Moment Correlation Coefficient statistics. The results showed that most of the people had behaviors of using herbs for self-care at a moderate level, about 45.2%. The sample group chose herbs to treat or relieve respiratory symptoms, about 1.96%, followed by herbs for treatment or relief skin system symptoms, gastrointestinal symptoms, urinary tract symptoms, and other illnesses, respectively. The Individual factors were sex, age, congenital disease, educational level, income, occupation, and experience in using herbs. There was a relationship with the behavior of using herbs to take care of their own health. Statistically significant at the 0.05 level. The leading factors were knowledge about the use of herbs for self-health care. Attitudes and perceptions of benefits from using herbs for self-care. There was a relationship with the behavior of using herbs to take care of their own health. Significant way Stats at 0.05 level. The contributing factor is the channels of obtaining herbs. The cost or price of acquiring herbs herbal form and the promotion of herbs. There was a relationship with the behavior of using herbs to take care of their own health. Statistically significant at the 0.05level. Additional factors include personal media exposure. Special media exposure and exposure to the media about the use of herbs There was a relationship with the behavior of using herbs to take care of their own health. Statistically significant at the 0.05 level.