• The Korean Journal of Community Living Science
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• v.16 no.4
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• pp.139-157
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• 2005

In rural area, as the source of family income is related with the agriculture works, the living condition of non-farming family used to be lower except some family groups with a little higher income. In order to find out the improvement in rural life, data about the health behavior and diet habits of non-farming family were observed. This study evaluated the health behavior and diet habits of non-farming families by comparing them with those of the farming families in rural area. The survey was made by trained interviewers and a total of 1,870 subjects from 9 provinces were questioned to collect the data through sampling probability proportional to size. The non-farming families were $29.6\%$ of the total and they were with no spouse($38\%$), low number of family members(2.86), and aged husband(66.8 years) or wife(58.5 years). $83.1\%$ of the non farming families were having breakfast however, $95.1\%$ of the farming families were doing it. And the number of side dishes in non farming families was low(1-2 kinds: $17.7\%$). Out of non farming families, $47.3\%$ took no nutritional supplements and out of the farming families it was 40.8 $\%$ With regard to having snacks, $22\%$ of non-farmers had snacks daily and it was greater than that of farmers($16.6\%$). But the ratio of non-snack taking of the non-farmers($29.6\%$) was higher than that of farmers($24.5\%$). The sorts of snacks also varied and for farmers it used to be fruit and noodles and for non-farmers it was bread and milk. Instant foods were often selected by $35.6\%$ of non-farmers. Dining out with a frequency of once per month was reported in $23.2\%$ of non-farming families, but $47.6\%$ of them did not dine out at all. In case of food production for family consumption, small portion of non-farmers cultivated pepper($13.3\%$), Korean cabbage ($16.2\%$), and sesame($6.2\%$) but almost all of the farmers cultivated such crops. However, non-farmers produced soybean sprouts($0.7\%$), soybean curd($0.2\%$), and eggs($7.2\%$) and it was compared with the fact that farmers produced soybean sprouts($9.7\%$), soybean curd ($4.6\%$), and eggs($5.1\%$). Non-farmers stocked the fermented foods: Doenjang ($57.8\%$), Kochujang ($56.1\%$), Kanjang ($53.6\%$), Kimchi ($77.9\%$) and Jangajji ($37.2\%$), and this ratios were smaller than those of farmers: Doenjang ($93.6\%$), Kochujang ($92.9\%$), Kanjang ($87.9\%$), Kimchi ($97.7\%$) and Jangajji ($66.7\%$). As to health behavior of the subjects, non-farmers had less medical examinations and bathing than farmers did. Non-farmers and their wives used public bath facilities more often and it may be due to the low condition of bathing facilities. And the ratio of daily alcohol consumption was $15\%$ and it was higher than that of the farmers. Most of the spouse of the farmers did not drink($78\%$), but the wives of the non-farmers were drinking more frequently. More farmers smoked than non-farmers and $45\%$ of male farmers were smokers.

• Journal of Food Hygiene and Safety
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• v.21 no.4
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• pp.263-268
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• 2006

The purpose of this study was to monitor and compare the contamination levels of total aerobic bacteria, coliform groups and Escherichia coli from fruit-vegetable salad (FS), aquatic hard-boiled food (AF) and salt-fermented fishery product with spices (SP). The samples of ready-to-eat food were 25 FS, 11 AF and 7 SP. The contamination levels of total aerobic bacteria in FS, AF and SP were $4.56\sim7.45\;log_{10}$ CFU/g (FS), $2.43\sim7.03\;log_{10}$ CFU/g (AF), respectively. The contamination levels of coliform groups were $4.51\sim6.71\;log_{10}$ CFU/g (SP). $4.00\sim6.66\;log_{10}$ CFU/g (FS), $1.70\sim5.20\;log_{10}$ CFU/g (AF), respectively. The contamination levels of E. coli were $2.50\sim4.42\;log_{10}$ CFU/g (SP), $0\sim3.58\;log_{10}$ CFU/g (FS), $1.11\sim4.68\;log_{10}$ CFU/g (AF), respectively. The difference of completed packaging salad and instant packaging salad are not different about contamination levels. In conclusion, the results of this study indicated that the hygienic levesl of salads, hard-boiled foods and salted fishes were very poor. So our government need to improve the control plan for food safety from manufacturing process to market.

• Korean journal of food and cookery science
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• v.19 no.3
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• pp.286-294
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• 2003

The purpose of this study was to analyze the food service management practices and productivity in 49 elementary schools in the Daegu and Gyeongsangbuk-do areas. Survey questionnaires were used to obtain a variety of quantitative and qualitative information, including general food service management and productivity, on elementary school food service systems. Descriptive analysis, $\div$2-test, t-test and one-way ANOVA analysis were used as the statistical methods in this study. Eighteen elementary schools were located in urban areas, 13 in provincial areas and 18 in isolated areas. The average number of meals was 565.1, with a significant difference (p＝0.001) between the areas. The average cost per a meal was 1151.0 Won, with a significant difference (p＝0.001) between the areas. The productivity Index (meal/hour) was 13.5, with a significant difference (p＝0.001) between the areas. There was a significant positive correlation of the productivity Index between the total number of meal, the number of employees, the total food cost, meals per employee and the employee's working period. There was a significant negative correlation between the productivity Index and the number of side dishes, the lost per meal, the labor cost per meal and the employee's job satisfaction degree index (JDI).

• Journal of Nutrition and Health
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• v.52 no.5
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• pp.475-487
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• 2019

Purpose: With the increase of going out to eat, reducing the sodium in restaurant foods has a crucial impact on reducing sodium intake. This study aimed to assess the current status and perceptions of restaurant staffs related to reducing sodium use in restaurants. Methods: Restaurant managers and chefs (n = 312) in Seongnam area completed a questionnaire on the current status related to sodium use, the barriers to practice for reducing sodium use, support needs, and the practicability of methods for reducing sodium use in restaurants. Results: The percentage of restaurants in the preaction stage (including the precontemplation, contemplation, and preparation stages) for reducing sodium use was 79.7%. Logistic regression analysis showed that measuring salinity while cooking was associated with measuring seasoning (OR, 4.761; 95% CI, 2.325 ~ 9.751), action/maintenance stages of behavior change (OR, 2.829; 95% CI, 1.449 ~ 5.525) and providing salinity information of restaurant foods (OR, 6.314; 95% CI, 2.964 ~ 13.45). Maintaining taste and hindering the cooking process were the main barriers to reduce sodium use. The total practicability of actions for reducing sodium was higher in staffs who worked in restaurants that measured seasoning and salinity while cooking (p < 0.05 and p < 0.01, respectively). The hardest item to practice was 'purchase foods after comparing sodium content in the nutrition labeling'. 'Avoid serving salt-fermented foods as side dishes', 'serve small portions of kimchi and less salty kimchi', and 'put up promotional materials for reducing sodium intake' were selected as easy items to perform. The majority (82%) was willing to reduce sodium in restaurant foods under the support of local government and they desired the promotion of participating restaurants and education on cooking skills to reduce sodium. Conclusion: Measuring seasoning and salinity while cooking is a meaningful practice that is associated with stages of behavior change and the practicability of actions for reducing sodium. It is necessary to provide support and education with a gradual approach to staffs for reducing sodium in restaurant foods.