• Journal of Food Hygiene and Safety
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• v.27 no.2
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• pp.194-201
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• 2012

Facing a number of global food-related accidents, the concept and system for food traceability have been designed and introduced in many countries to manage the food-safety risks. To connect and harmonize the various food traceability-information in food traceability system according to the food supply chain, the coding system of identification-number for food-traceability has to be standardized. The GTIN (Global Trade Item Number) barcode system which has been globally standardized and implemented, is reviewed with the mandatory food-labeling regulation in expiration date of processed foods. The integration of GTIN-13 bar-code system for food-traceability is a crucial factor to expand its function in the food-related industrial areas. In this literature, the standard coding system of identification-number for food-traceability is proposed with 20 digit coding number which is combined with GTIN-13 bar-code (13 digit), expiration date (6 digit), and additional classification code (1 digit). This proposed standard coding system for identification-number has a several advantages in application for prohibiting the sale of hazard goods, food-recall, and inquiring food traceability-information. And also, this proposed coding system could enhance the food traceability system by communicating and harmonizing the information with the national network such as UNI-PASS and electronic Tax-invoice system. For the global application, the identification-number for food-traceability needs to be cooperated with the upcoming global standards such as GTIN-128 bar-code and GS1 DataBar.

• Journal of Nutrition and Health
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• v.49 no.5
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• pp.367-377
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• 2016

Purpose: This study analyzed the degree of job stress and caffeine intake in workers in industrial positions in order to determine the relationships between job stress and caffeine intake. Methods: For this purpose, this study conducted a survey targeting 361 blue collar workers working for K manufacturing company, Gwangju. Results: The total score for job stress in subjects was $72.7{\pm}6.8points$/100points. According to job stress, subjects were categorized as follows: Q1 for the group who had the least stress; Q2 for the group who had little stress; Q3 for the group who had a lot of stress, and Q4 for the group who had the most stress. As for the effects of caffeine on health, 57.1% thought that caffeine is helpful and not harmful if taken properly while 17.3% responded that less caffeine consumption is better. Daily intake of caffeine according to stress was presented as: $172.0{\pm}85.3mg$ in Q1, $179.0{\pm}83.7mg$ in Q2, $187.9{\pm}81.4mg$ in Q3, and $214.2{\pm}147.3mg$ in Q4 (p < 0.05). The percentages of caffeine consumption compared to the daily safe limit in subjects were: $43.0{\pm}21.3$, $44.8{\pm}20.9$, $47.1{\pm}20.4$, and $53.6{\pm}36.8%$ in Q1, Q2, Q3, and Q4, respectively (p < 0.05). Adverse effects such as nausea or vomiting from caffeine were most common in Q4 (p < 0.05). Conclusion: As a result, higher stress in blue collar workers working for K manufacturing company was associated with more caffeine consumption. Groups with a lot of stress (Q4) consumed approximately 50% of daily safe limit of caffeine. Considering the results above, this study suggests that further research on more precise caffeine intake and its effects is needed.

• Journal of Nutrition and Health
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• v.49 no.6
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• pp.495-505
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• 2016

Purpose: This study was conducted to investigate and analyze the association between stress from shift and non-shift work as well as the effects living habits have on eating habits in order to identify why and how workers can improve their health and form proper eating habits for higher working efficiency. Methods: The subjects of this study were 361 workers from K manufacturing company from April 7 to 11, 2014 and they were surveyed using a questionnaire. The subjects were divided into two groups according to working pattern: shift workers (n = 216) and non-shift workers (n = 110). Results: In the general characteristics, there were significant differences in age, work career, work time, marriage, monthly income, and education levels between the two groups. For healthy behaviors, significant differences in subjective health status, moderate physical activity, drinking, smoking, and sleep time were observed between shift workers and non-shift workers. For eating habits, scores of non-shift workers having a regular mealtime, balanced meal composition, and vegetable and seaweed intakes were significantly higher than those of shift workers. The sum score of dietary habits in non-shift workers was also significantly lower than that in shift workers (p < 0.05). Total job stress score did not significantly differ between the two groups. Conclusion: The sum of eating habit scores according to work types was $16.1{\pm}0.6$ in non-shift workers and $14.0{\pm}0.3$ in shift workers. These results suggest that it is necessary to provide food suitable to characteristics of different workers according to work type which should be provided along with daily nutrition counseling to help subjects recognize their status.