The purpose of this study was to investigate the factors related to milk consumption in university students. A questionnaire, comprised of general questions and factors related to milk consumption, was administered to 269 male and female university students (134 males, 135 females). The results show that the proportion of males reporting that they drink milk because “for good nutrition” was higher than that of females (p=0.0200). Additionally, males initiated more effort to drink milk than females (p=0.0192). Analysis of the groups classified according to milk consumption shows that the proportion of respondents exercising regularly was significantly high in the milk consumption group (p=0.0199). The proportion of respondents often consuming carbonated drinks as snacks was significantly low in the milk consumption group (p=0.0219). Whereas, the proportion of respondents consuming fruits as their main snack was significantly higher in the milk consumption group than in the non-milk consumption group (p=0.0063). Also, the milk consumption group shows significantly higher awareness of the importance of milk than the non-milk consumption group (p<0.0001). These results can be used as a valid foundation to provide university students with nutritional education relative to milk consumption and its associated benefits in the future.

This study was performed to provide fundamental data on the dietary habits and food purchase types according to the stress patterns. The subject was 312 Chinese students in Gyeonggi region through a self-administered questionnaire. According to the results of the reliability analysis, the stress items showed an average of 2.91 and 0.846 for Cronbach alpha coefficient. The results of ANOVA analysis on the difference of dietary habits according to stress are as follows; There were significant differences for the meal frequency per day according to schoolwork, economic, general living, and dietary habits (p<0.05). Also, the general living pattern showed significant differences for the meal outside frequency and Chinese food intake (p<0.05). The results of ANOVA analysis on the difference of food purchase type according to stress are as follows; There was significant differences in degree of use of convenience foods according to interpersonal relationship, cooking method of convenience foods according to economics, the selection criteria of convenience foods according to schoolwork (p<0.05). The correlation coefficient of dietary habits and convenience food intake are 0.223, －0.147 in stress degree and dietary habits. In conclusion, I would like to provide the basic data necessary for the right choice of Chinese students' dietary habits and food purchases.

This study examined the lifestyle factors, dietary attitudes, food habits, and dietary nutrition intake of college students before and after nutrition education. A total of 44 college students were recruited and a questionnaire survey was conducted. Dietary nutrient consumption was obtained from the one day 24-hr recall. Scores on ‘Concerns about health (p<0.05)’, ‘Regular exercise (p<0.01)’, and number of steps (p<0.001) were significantly higher after-training. The dietary attitude (31.3 vs. 33.7, p<0.01) and food habits (53.5 vs. 59.7, p<0.01) were significantly higher after-training. The scores on ‘Eating a lot of food that I want to eat is more important than nutrition (p<0.01)’, ‘I am interested in information on nutrition and health (p<0.01)’, ‘Have three meals a day (p<0.01)’, ‘Have breakfast regularly (p<0.01)’, ‘Drink milk every day (p<0.001)’, ‘Have fruits every day (p<0.05)’, and ‘Apply nutrition knowledge to daily life (p<0.001)’ were significantly higher after-training. Among the nutrients intakes, the protein (p<0.05), vitamin C (p<0.01), and calcium (p<0.001) were significantly higher after-training. Nutrition education improved the lifestyle factors, dietary attitudes, food habits, and dietary nutrition intakes.

The purpose of this study was to investigate the dietary habits of smokers and non-smokers among a few male university students residing in Changwon-si and factors that affect their smoking behavior. A self-administered questionnaire was conducted for a duration of one month in June 2015 (n=367). The results of this study showed that the breakfast skipping rate of the smoking group was significantly higher compared to the non-smoking group (p<0.001), and the smoking rate was significantly higher among those with more serious smoking problems (p<0.001). Compared to the non-smoking group, the smoking group showed significantly higher BMI (body mass index) (p<0.05) and demonstrated significant drinking habit of more liquid type yogurt among milk and dairy products and significantly more coffee mixes among fat, oils, and sugars (p<0.05). The results of multiple regression analysis showed the necessity to prepare smoking systems in school (t=－2.87, p<0.05), encumbrances to studies due to smoking (t=－3.59, p<0.001), and variables that affect smoking such as the number of close friends who smoke (t=4.17, p<0.001), BMI (t=3.08, p<0.05), and the level of problematic drinking (t=3.67, p<0.001). The results of this study suggest factors that must be considered in establishing smoking prevention education programs, anti-smoking policies, and strategies for university students.