• Culinary science and hospitality research
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• v.17 no.3
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• pp.151-161
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• 2011

The aim of this study is to investigate the relationships among obesity, eating-out behaviors, and eating habits in the housewives living in Busan and Gyeongnam Province. In order to analyze the data obtained from 249 housewives, SPSS statistical program 17.0 was used. Also, frequency, factors, $x^2$-test, and cluster analyses were conducted as well as one-way ANOVA analysis. The results of the analyses have shown that their average height was 160.75 cm, and their average weight was 57.51 kg. Their BMI was investigated resulting in normal weight being 56.6%, overweight and obesity 37.0%. Concerning the number of eating out opportunities a month, 65.5% said under four times. Their per capita cost of eating out was between 7001 Won and 11,000 Won, being 34.9%. The purpose of eating out was family occasions being 44.2%. Those who were accompanied by them were their family members. and relatives being 63.8%. Their favorite restaurants were public restaurants being 47.8%. It was investigated that they got the information about eating-out through their acquaintances being 79.1%. According to the results of the cluster analysis by the factor of their eating habits, Cluster 1 was named as Intermediate Eating Habits group, Cluster 2 as Not Good Eating Habits group, and Ouster 3 as Good Eating Habits group. There were significant difference (P<0.01) in the difference analysis between the three clusters and the eating habits factor. This study showed that 37% of housewives in the Busan and Gyeongnam area were classified as overweight and obese and needed to change their eating behavior. The reason why obesity in the age group of those over 51 was higher than those under 30 was their going through menopause.

• Journal of Ocean Engineering and Technology
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• v.17 no.5 s.54
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• pp.32-38
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• 2003

This study investigates the distribution characteristics and relationship of water quality, and analyzes the spatial and temporal variation and distribution of the pollutant loads at Yeong-il Bay. The results of these analysis, the concentrations of nutrient loads (T-N and T-P), both appeared to be at the maximum value in November, while most small values were taken in May for the T-N, and in August for the T-P. For COD, the maximum concentration was in August, which has much precipitation during the same season, T-N was at the mean, and T-P was at the minimum value. Using the cluster analysis to develop the division of the sea basin by the dendrogram, before and after construction of Pohang New-port, the variation characteristics of water quality of Yeong-il Bay were discussed. The in flowing pollutant loads were transported to the landward by the high-density salinity water volume of the bottom layer therefore, it formed nutrient trap or coastal trapping areas of the pollutant load. By this mechanism, it is clear that the water volume with high-density nutrient exists on both sides of the Pohang New-port. Thus, the sea basins increasing concentration of the pollutant load at Yeong-il Bay are most prevalent at Hyeong-san estuary, the Pohang Old, and New-port. To improve water quality of this sea basin, the reduction of these nutrients loads should be the highest priority.