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Background: Stress is related to happiness in student life, it is a condition in the body and stimulated to respond from inside and outside the body. The body or mind is out of balance, with each person showing different stress affects the happiness in life in each period of that person. Objective: To examine the relationship between stress and the happiness of Rajabhat University students in Thailand. Material & Methods: This research was contextual research by using a cross-sectional survey. The samples were students selected the sample group by stratified proportion random simple and not overridden using a random number table. The sample consisted of 190 students. The research instruments were self-reported questionnaires. The statistics used for data analysis were descriptive using inferential statistics to analyze relationships with static chi-square. Results: The results of the research, most students have a high level of stress and rare happiness in life. The study of the relationship between demographic factors, stress, and happiness in students’ lives found that level education and family income have a relationship to the stress and gender associated with happiness. Stress was associated with happiness at a statistically significant level of 0.05. Conclusion: In this research, there are suggestions to study the cause of stress and ways to stress management and the factors that contribute to the happiness of students to enable students to continue living in quality teaching and learning. [ABSTRACT FROM AUTHOR]

This study investigates factors affecting the transformational leadership of small and medium medical device enterprises in Thailand, using quantitative research methods by collecting questionnaire data from 283 employees, Stratified sampling was used to identify subgroups of the population, then a simple random assignment was used without replacement. Descriptive statistical analysis, including frequency, percentage, means and standard deviations, was used to clarify personal factors such as type of personnel, gender, age, educational level, the period of business operation, and the number of employees, multiple regression was used for test for demographic characteristics and transformational leadership. The research found entrepreneurs that most of 65.5% were male; 83% were 41-50 years. For levels of education, 45.5% had master's degrees. For period business operation, 6-10 years comprised 47.2% of the sample. 57.4% worked in companies with 51-100 employees. For category of medical equipment business, medical materials were 39%. Age, educational level, and the period of business operation could explain the variation on transformational leadership; at 49% percent significance at the 0.05 level, these had the strongest relation with transformational leadership. This research was limited by the fact that not all the questionnaires could be returned. For future research we suggest that new variables may be added to reflect modern conditions such as digital leadership. [ABSTRACT FROM AUTHOR]

This study aims to examined factors associated with hypertension patients and to create spatial models to assesses the risk level for hypertension in Samut Songkhram Province, Thailand. We performed a secondary analysis of data to find causes and relationships between seven factors and hypertension patients. Seven experts used impact feedback to analyze the results of GIS and the risk levels of hypertension. Data were analyzed using Pearson's correlation coefficient. Results indicated that seven factors were associated with the occurrence of hypertension: age, occupation, land use, population density, physical activity, smoking, and alcohol consumption. This study also found 87 villages within high risk areas in Muang Samut Songkhram district. While the moderate risk areas included 96 villages in Amphawa District. As for the lowrisk areas, there were a total of 101 villages located in Bang Khonthi District. The results confirm that the application of GIS for assessing the risk level of hypertension were accurate and effectively in high risk, moderate risk, and low risk areas. Public health sectors strategize to support health and wellness in patients with hypertension and reflect more opportunity for healthcare providers in the area of health promotion and disease prevention. [ABSTRACT FROM AUTHOR]