The research aimed to : Study the risk personal data leading to diabetes mellitus. Study knowledge about diabetes mellitus and Study food consumption behavior of Ramamangala University of Teachnology Phranakorn officails. Tests and questionnaires were used to gathe the data from Ramamangala University of Technology Phranakorn officials academic year 2009 and 217 samples were used following Purposive sampling. The data were analyzed by using percentile mean and standard deviation. The study found that 1. 55.8% of the sample were female and 23.5% were 36-40 years old 42.47 were the mean age of the samples. The Mass Body Index 46.5% of the sample were normal and 21.2% had height mass body fat index. In the next 12 years 33.2% had of the sample or 1 in 12 person were at risk of having diabetes mellitus. They were supposed to exercise frequently keep normal body weights and check blood pressures. 2. 24.3% of the sample had diabetes mellitus knowledge of minimum passing standard. 13.14 points was mean of the sample and 4.72 was the standard deviation. 3. The sample group food consumpion behavior was considered at risk leading to diabetes mellitus at moderate level. 3.31 was the standard deviation.

The objectives of this institutional research were to study and to compare the expectation of students and officials to libraries’ services Institution of Academic Resource and Information Technology Rajamangala University of Technology Phra Nakhon identifying by status by position the officials’ office and students’ faculties. The samples were teachers officials and undergraduate students of Rajamangala University of Technology Phra Nakhon which registered on second semester of academic year 2008. The 680 samples were taken a random sample by stratification of samples’ groups. The data were collected by questionnaires which were five - level rating scale questions. The results were analyzed by percentage average value standard deviation and F-test. The results were as follows: 1. Students and officials had high level expectation to libraries’ services Institution of Academic Resource and Information Technology Rajamangala University of Technology Phra Nakhon. For consideration of each aspect students and officials had high level expectation to libraries’ services in every aspect the most average value was libraries’ services the next was libraries’ environments and information resources. 2. The questionnaires’ respondents who had different status by position had different expectation to libraries’ services with statistically significant level at .05. The teachers had more expectation to libraries’ services than the students. For consideration of each aspect the libraries’ environmental aspect was different with statistically significant level at .05. It showed that teachers and officials had more expectation to libraries’ services environmental aspect than the students. And for libraries’ services aspect it was different with statistically significant level at .05. It showed that teachers had more expectation to libraries’ services libraries’ services aspect than the students. 3. Officials of different offices had different expectation to libraries’ services with statistically significant level at .01. For consideration of each aspect It showed that every aspect was different with statistically significant level at .01. To compare of each couple it showed that no couples were different. 4. Students of different faculties had different expectation to libraries’ services with statistically significant level at .01. For consideration of each aspect It showed that the libraries’ environmental aspect was different with statistically significant level at .05 information resources aspect and libraries’ services aspect were different with statistically significant level at .01. The Faculty of Business Administration’s students had more expectation to libraries’ services aspect than the Faculty of Architecture and Design’s students. For other aspects no couples were different.

The purposes of the study were to study 1) the demographic characteristics 2) the level of the marketing mix factors that affect food consumption behaviors 3) the level of knowledge about nutrition 4) the food consumption behaviors and 5) the relationship between factors that affect food consumption behaviors and food consumption behaviors. The subjects were 159 non – commissioned officers under royal aide de camp department who worked for a year in 2015. To collect data the research instrument wasquestionnaire. The statistics used to analyze the data were frequency percentage mean standard deviation and chi-square. The data analyzed by SPSS. The research found that 1) the most respondents were mostly female age range in 31 - 40 years married graduated Bachelors degree Sergeant major 1st class/Chief petty officer 1st class/Flight sergeant 1st class the average income of between 20001 - 30000 baht per monththere were members of the family 3 - 4 people and domiciled in Bangkok and Suburbs 2) thequality of the food’s average score were the highest score3) the respondents generally haveknowledge of nutrition in the very good level 4) the respondents mostly eat fresh food buyingfood 3 - 4 times per week and 5 - 6 times per week eating 3 meals a day buying fooddaily buying food in the evening the average expense is between 51 - 100 baht buying foodfrom markets and restaurants regardless of their own to buy food deciding to buy food for goodhealth and 5) the number of family members related to the average expense per time in buyingfood the source of buying food the person who influences on buying food and the factorsaffecting the decision to buy food. While the level of education correlated with place of buying food.In addition the rank correlated with the average in buying food at a time. Besides average monthly income is related to the day to buy. Moreover the hometown is associated with the number of meals eaten per day. Similary the status is related to the average expense per time in buying food. The food quality related to the person who influences on buying food and the deciding factor in buying food. And the knowledge about nutrition related to the period to buy food and place of buying food. At the Statistical significance level of .05.