The present study was designed to investigate health-related life habits, food preference, body composition for proper dietary habits, health promotion of communities in Incheon area. The effects of personal characteristics and health-related life habits such as gender, age, having breakfast, smoking, drinking, and exercise were analyzed using a surveying. 961 community subjects (262 males and 699 females) were investigated using a questionnaire and Inbody. Data were analyzed by descriptive statistics, chi squared test, and one-way ANOVA (analysis of variation) with SPSS/WIN 21.0. The result of gender distribution showed there were 262 males and 699 females, and with respect to the effect of gender on healthrelated life habits, smoking, drinking, and exercise showed significant differences (p<0.05), whereas having breakfast was not significantly difference (p>0.05). Therefore, the present provide evidence of a relationship between health-related life habits and gender. Regarding the effect of BMI on health-related life habits, exercise showed significant differences (p<0.05), whereas smoking, drinking, and having breakfast were not significantly difference (p>0.05). Thus, the present study also provides evidence of a relationship between health-related life habits and BMI. Our analysis shows that food preference and body composition were significant different from health-related life habits such as smoking, drinking, exercise, and having breakfast (p<0.05). Our analysis showed that body composition was significant differences from health related habits such as smoking, drinking, exercise, and breakfast (p<0.05). In conclusion, the present study suggests that diet guidelines support and improve health promotion designed by communities.

The purpose of this study was to compare weight control behaviour, eating habits, and health-related life habits accordingto degree of obesity among normal, overweight, and obese groups. Self-perception of weight and desire for weight controlin males (p<0.001) and females (p<0.001) varied among the three groups. Reasons (p<0.001), experience (p<0.01), andmethod of weight control (p<0.05) were different among the three female groups, whereas males did not show anydifferences. Intake of nutritional supplements in the male obese group was higher compared to other groups (p<0.01),whereas eating habits were not significantly different among the three groups for both males and females. Food habits scorefor intake of fruits, milk, and yogurt were higher in females than males (p<0.001). Correlation coefficients of food habitsscore and anthropometric measurements showed that hip circumference was negative for intake of fruits in males, whereasRBW and BMI were positive for food combination, intake of bean products, and fishes in females (p<0.05). Frequency andfitting exercise in the obese female group were lower than in the other groups (p<0.01). Therefore, proper nutritionaleducation for obese individuals is recommended proper self-perception of weight, good food habits, and regular exercise.

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).