This study was conducted to investigate the degree of practice of dietary behavior and dining out in accordance with intake of sodium among male and female adults aged 20 years or older residing in the Seoul Metropolitan area or Chungcheong Province. A total of 530 copies of the questionnaire were distributed from May to July, 2014. The SH group who responded that they eat a lot of sodium constituted 30.6% (158 people), followed by the SM group who responded that their sodium intake is about average at 55.7% (288 people) and the SL group who answered that they do not eat much sodium at 13.7% (71 people). Those in the SL group showed positive results for dietary behavior patterns. The SL group showed the lowest rate in terms of how often they eat harmful foods, including processed foods, sweet foods, salty foods, or food with high animal fat content such as pork belly. Positive results among the SL group were prominent in terms of avoiding over-drinking, regular exercise, and nutritional knowledge, indicating greater health management. The distribution of each group in terms of self-perceived sodium intake showed significant differences across age, gender, and household income in terms of frequency of fast food intake, regularity of meals, purchase of foods with consideration of sodium amount, frequency of missed meals, balance of food intake, and health management habits.

The aim of this study was to compare the dietary patterns and behaviors of female university students according to their type of residence. The subjects consisted of 369 female students from the Gyeongju area. This cross-sectional survey was conducted using a self-administered questionnaire. The SPSS 14.0 statistical package was used for the data analysis. The results are as follows: the height and weight means were 162.7±4.6 cm and 53.9±6.7 kg respectively. For BMI, 44.2% of the subjects were with in the normal (18.5-23) and 49.1% were underweight and 6.2% were overweight. In terms of alcohol consumption, 78.9% of the subjects consumed alcoholic beverages, and there was no significant difference by the type of residence However, for drink proportion and the preferred type of alcoholic drink there were significant differences by the type of residence (p〈0.001). Third, for smoking status and the intention of quitting smoking there were significant differences by the type of residence (p〈0.000, p〈0.05 respectively). Also, for exercise regularity and preference as well as food preference and taste, there were again significant differences by the type of residence (p〈0.001). Finally, in terms of breakfast intake and kinds of foods eaten at breakfast significant differences were found by the type of residence (p〈0.01).