The objectives of this research are; 1) To compare the nutrition knowledge of metabolic syndrome patients before and after was educated by 3 methods as follows: Educate by nutrition manual using Educate by suggestion and Educate by telephone; 2) To compare the nutrition knowledge differences of metabolic syndrome patients classified by 3 educated methods: nutrition manual suggestion and telephone using. Nutrition manual and Questionnaires were analyzed. Statistics which was used in analysis are Frequency Percentage Mean Standard Deviation t-test F-test and Scheffe’s Method. The results show the comparison of the results of the differences in knowledge of nutrition in metabolic syndrome patients as classified by 3 educational method found that metabolic syndrome patients’ nutritional knowledge between those who were educated by nutrition manual use only those educated by suggestion and those educated by communication device differed statistically significantly at a .05 level. Using Scheffe’s Method the multiple comparison test of nutrition knowledge of metabolic syndrome patients as classified by educational method found that the metabolic syndrome patients who were educated using the nutrition manual had a greater understanding of nutrition than the metabolic syndrome patients educated by suggestion. Moreover metabolic syndrome patients who were educated using the nutrition manual had a greater knowledge of nutrition than the metabolic syndrome patients who were educated using a communications device.

This paper aimed to study and compare awareness of impacts on global warming that are relevant to home economics knowledge base on Home Economics Program Suan Dusit Rajabhat University considering gender and year of study. The sample was bachelor home economics students of every year of Suan Dusit Rajabhat University. Questionnaires were used to the data from 254 samples. The statistics used were frequency distribution percentage average and standard deviation. The hypothesis test made in the study was t-test for independent samples and One Way ANOVA.