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Immunostimulntory Effects of Immu-Forte at 3 Months Post-Treatment in Mice (면역기능증강성 동암 바이오스 신물질에 대한 3개월간의 마우스 투여후의 면역학적 및 혈액학적 변화)

  • Jung Ji-Youn;Ahn Nam-Shik;Park Joon-Suk;Jo Eun-Hye;Hwang Jae-Woong;Lee Seoung-Hun;Park Jung-Ran;Kim Sun-Jung;Lee Yong-Geon;Jeong Yun-Hyeok;Chung Ji-Hye;Lee Soo-Jin;Lee Sang-Bum
    • Journal of Food Hygiene and Safety
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    • v.20 no.2
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    • pp.118-122
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    • 2005
  • Immu-Forte (Dong-Ahm Bio's. Corp., Korea) was evaluated fir its effectiveness as a nonspecific immunostimulator in mice. The effects of Immu-Forte were determined by analysis of cytokines using ELISh and phenotype of leukocyte subpopulations using monoclonal antibodies specific to mouse leukocyte differentiation antigens and flow cytometry. CD4 T cells, CD8 T cells, macrophages, IL-12 and IFN-r in Immu-Forte EX-treated middle dose group increased in 3 months posttreatment and were significantly higher (p<0.05) than that of control at 3 months posttreatment. All T cells, all B cells, macrophages, IL-2, IL-4 and IL-12 in Immu-Forte EX-treated low dose uoup increased in 3 months posttreatment and were significantly higher (p<0.05) than that of control at 3 months posttreatment. In the Immu-Forte soy-treated group, CD4 T cells, IL-2, IL-4 and IL-12 were significantly higher in high dose-treated group, and CD 4 T cell, macrophages, IL-2, IL-4 and IL-12 were significantly higher in middle dose-treated group, and all T cell, IL-2, IL-4 and IL-12 were significantly higher in low dose-treated group. In the Itnmu-Forte A-treated group, macrophages, m cells and IL-12 in high dose-treated group and all T cells, macrophages, NK cells, IL-2, IL-4 and IL-12 in middle dose-treated group and NK cells in low dose-treated group were significantly higher (p<0.05) than that of control at 3 months posttreatment. In the Immu-Forte F-treated Group, all B cells, IL-4 and IL-12 in high dose-treated group and all T cells, aBl B cells, CD 4 T cells, CD8 T cells, macrophage, IL-2, IL-4, IL-12 and IFN-r in middle dose-treated group and NK cells and IL-12 in low dose-treated group were significantly higher (p<0.05) than that of control at 3 months posttreatment. In conclusion, the study has demonstrated that Immu-Forte had an immunostimulatory effect on mice through proliferation and activation of mouse immune cells.

Meat Quality and Nutritional Properties of Hanwoo and Imported New Zealand Beef (한우고기와 뉴질랜드산 냉장수입육의 육질 및 영양성분 비교)

  • Cho, Soo-Hyun;Kang, Geun-Ho;Seong, Pil-Nam;Park, Beom-Young;Jung, Seok-Geun;Kang, Sun-Moon;Kim, Young-Chun;Kim, Ji-Hee;Kim, Dong-Hun
    • Food Science of Animal Resources
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    • v.31 no.6
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    • pp.935-943
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    • 2011
  • This study was conducted to investigate the proximate composition, meat color, Warner-Bratzler shear force (WBS), cooking loss (CL), fatty acids composition, amino acid composition and mineral contents of Hanwoo beef (QG $1^+$, 1) and imported New Zealand black Angus beef with loin, strip loin, eye of round and chuck tender. The intramuscular fat contents were higher in the strip loin, loin and chuck tender of Hanwoo beef than New Zealand beef (p<0.05). Hanwoo QG 1 beef had higher Fe contents in the strip loin (30.52 mg/100g) and chuck tender (40.70 mg/100g) (p<0.05). Hanwoo beef had lower cooking loss and than those of New Zealand beef, whereas New Zealand beef had higher protein and amino acids contents (%) than their counterpart. There was no significant difference in the WBS between two origin samples except the chuck Hanwoo beef had significantly lower saturated fatty acids (SFA) and higher monounsaturated fatty acids contents than New Zealand beef (p<0.05). WBS values indicated that Hanwoo and New Zealand beef had similar tenderness in the loin, striploin and eye of round due to the longer aging periods of the New Zealand beef than Hanwoo beef during the distribution.

Meat Quality and Nutritional Properties of Hanwoo and Imported Australian Beef (한우고기와 호주산 냉장수입육의 육질 및 영양성분 비교)

  • Cho, Soo-Hyun;Seong, Pil-Nam;Kang, Geun-Ho;Park, Beom-Young;Jung, Seok-Geun;Kang, Sun-Moon;Kim, Young-Chun;Kim, Jong-In;Kim, Dong-Hun
    • Food Science of Animal Resources
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    • v.31 no.5
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    • pp.772-781
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    • 2011
  • This study was conducted to investigate the proximate composition, meat color, Warner-Bratzler shear force (WBS), total collagen content (%), cooking loss (CL), fatty acid composition, amino acid composition, and mineral content of loin, strip loin, top round, and chuck tender Hanwoo beef and imported Australian beef. Protein content was significantly lower for strip loin and loin of Hanwoo QG $1^+$ and 1 beef when compared to that of Australian black Angus or cross beef (p < 0.05), whereas it was not significantly different for top round and chuck tender. Intramuscular fat content was higher for QG $1^+$ Hanwoo beef strip loin (15.48%) than that in Australian cross beef (8.83%) and it was also higher in loin for QG $1^+$ (17%) and 1 (15.52%) Hanwoo beef than that in Australian Angus beef (10.59%) and cross beef (9.21%) (p < 0.05). The CIE $L^*$ value was significantly higher for Australian cross beef strip loin than that of Hanwoo beef but the CIE $a^*$ value was not significantly different between the same cuts from different origins. However, CIE $b^*$ values were significantly higher for the Australian cross beef than those for four cuts of Hanwoo beef and Australian Angus beef (p < 0.05). No significant difference in WBS of loin, top round, or chuck tender was observed among the different beef sample origins except that strip loin had significant higher WBS for Australian cross beef (3.02 kg) but lower for Australian Angus beef (2.13 kg). Australian cross beef contained significantly higher palmitic acid, stearic acid, linolenic acid, but lower palmitoleic acid, oleic acid, eicosenoic acid content in strip loin, loin, and top round than those of QG $1^+$ and 1 Hanwoo beef (p < 0.05). QG $1^+$ Hanwoo beef had significant lower saturated fatty acid and higher monounsaturated fatty acid content than those in Australian cross beef (p < 0.05). Hanwoo $1^+$ beef had more glycine in top round and chuck tender, whereas Hanwoo QG 1 beef and Australian Angus beef had higher cysteine, methione, and glycine levels in strip loin and loin and valine and leucine in top round and chuck tender than the same cuts of Hanwoo $1^+$ beef (p < 0.05). No significant differences were observed for Ca, Fe, or Zn content among the different beef samples.

Effect of the Changing the Lower Limits of Normal and the Interpretative Strategies for Lung Function Tests (폐기능검사 해석에 정상하한치 변화와 새 해석흐름도가 미치는 영향)

  • Ra, Seung Won;Oh, Ji Seon;Hong, Sang-Bum;Shim, Tae Sun;Lim, Chae Man;Koh, Youn Suck;Lee, Sang Do;Kim, Woo Sung;Kim, Dong-Soon;Kim, Won Dong;Oh, Yeon-Mok
    • Tuberculosis and Respiratory Diseases
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    • v.61 no.2
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    • pp.129-136
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    • 2006
  • Background: To interpret lung function tests, it is necessary to determine the lower limits of normal (LLN) and to derive a consensus on the interpretative algorithm. '0.7 of LLN for the $FEV_1$/FVC' was suggested by the COPD International Guideline (GOLD) for defining obstructive disease. A consensus on a new interpretative algorithm was recently achieved by ATS/ERS in 2005. We evaluated the accuracy of '0.7 of LLN for the $FEV_1$/FVC' for diagnosing obstructive diseases, and we also determined the effect of the new algorithm on diagnosing ventilatory defects. Methods: We obtained the age, gender, height, weight, $FEV_1$, FVC, and $FEV_1$/FVC from 7362 subjects who underwent spirometry in 2005 at the Asan Medical Center, Korea. For diagnosing obstructive diseases, the accuracy of '0.7 of LLN for the $FEV_1$/FVC' was evaluated in reference to the $5^{th}$ percentile of the LLN. By applying the new algorithm, we determined how many more subjects should have lung volumes testing performed. Evaluation of 1611 patients who had lung volumes testing performed as well as spirometry during the period showed how many more subjects were diagnosed with obstructive diseases according to the new algorithm. Results: 1) The sensitivity of '0.7 of LLN for the $FEV_1$/FVC' for diagnosing obstructive diseases increased according to age, but the specificity was decreased according to age; the positive predictive value decreased, but the negative predictive value increased. 2) By applying the new algorithm, 34.5% (2540/7362) more subjects should have lung volumes testing performed. 3) By applying the new algorithm, 13% (205/1611) more subjects were diagnosed with obstructive diseases; these subjects corresponded to 30% (205/681) of the subjects who had been diagnosed with restrictive diseases by the old interpretative algorithm. Conclusion: The sensitivity and specificity of '0.7 of LLN for the $FEV_1$/FVC' for diagnosing obstructive diseases changes according to age. By applying the new interpretative algorithm, it was shown that more subjects should have lung volumes testing performed, and there was a higher probability of being diagnosed with obstructive diseases.

Changes of Housing in the FCS Curricular from the 1st to 2009 Revised of Secondary School (중등학교 가정과 교육과정의 주생활 영역 내용 변화 - 1차 교육과정부터 2009 개정 교육과정을 대상으로 -)

  • Heo, YoungSun;Kim, NamEun;Choi, MinJi;Baek, MinKyung;Gwak, SeonJeong;Cho, JaeSoon
    • Journal of Korean Home Economics Education Association
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    • v.25 no.1
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    • pp.95-118
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    • 2013
  • The purpose of this study was to analyze the contents of housing related to characters, objectives, and contents of FCS curricular from the 1st to 2009 revised curriculum of secondary school. The data were downloaded from the NCIC homepage(http://www.ncic.re.kr/2012. 04. 08) from the 1st(1955. 08) to 2009 revised curriculum(2012. 03) of secondary school. After examining the characters and objectives of each curriculum, contents of housing was analyzed by units and context elements of middle and high school separately. The titles of the subject, the objectives, the instructions, the leaning spheres, weekly hours, grade and gender of candidates, the emphasis of the instruction, etc. have been changed through the curriculum revision. The 6th curriculum was the main period to open to both genders, the $7^{th}$ was the period to combine with technology, the 2007 version was to change the structure of contents of home economics, and the 2009 version switched technology home economics from mandatory to optional in high school. The character of the courses was presented at the 1st curriculum, but it was left out from the $2^{nd}$ to $5^{th}$ curriculum. From the $6^{th}$ curriculum, the characters were separately given to middle and high school. The character of housing area started to appear only in high school home economics from the $7^{th}$ curriculum. The course objectives were described in all curriculum of both middle and high school. This applies to housing area as well. The course objectives have been modified in order to reflect value changes due to social issues. During each curriculum, contents of housing continued to change in context, course load, and candidates. Reflection of housing trends and social needs were the main causes of the change. 2009 version emphasizes on eco-life and sense of community.

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A Study on Commodity Asset Investment Model Based on Machine Learning Technique (기계학습을 활용한 상품자산 투자모델에 관한 연구)

  • Song, Jin Ho;Choi, Heung Sik;Kim, Sun Woong
    • Journal of Intelligence and Information Systems
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    • v.23 no.4
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    • pp.127-146
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    • 2017
  • Services using artificial intelligence have begun to emerge in daily life. Artificial intelligence is applied to products in consumer electronics and communications such as artificial intelligence refrigerators and speakers. In the financial sector, using Kensho's artificial intelligence technology, the process of the stock trading system in Goldman Sachs was improved. For example, two stock traders could handle the work of 600 stock traders and the analytical work for 15 people for 4weeks could be processed in 5 minutes. Especially, big data analysis through machine learning among artificial intelligence fields is actively applied throughout the financial industry. The stock market analysis and investment modeling through machine learning theory are also actively studied. The limits of linearity problem existing in financial time series studies are overcome by using machine learning theory such as artificial intelligence prediction model. The study of quantitative financial data based on the past stock market-related numerical data is widely performed using artificial intelligence to forecast future movements of stock price or indices. Various other studies have been conducted to predict the future direction of the market or the stock price of companies by learning based on a large amount of text data such as various news and comments related to the stock market. Investing on commodity asset, one of alternative assets, is usually used for enhancing the stability and safety of traditional stock and bond asset portfolio. There are relatively few researches on the investment model about commodity asset than mainstream assets like equity and bond. Recently machine learning techniques are widely applied on financial world, especially on stock and bond investment model and it makes better trading model on this field and makes the change on the whole financial area. In this study we made investment model using Support Vector Machine among the machine learning models. There are some researches on commodity asset focusing on the price prediction of the specific commodity but it is hard to find the researches about investment model of commodity as asset allocation using machine learning model. We propose a method of forecasting four major commodity indices, portfolio made of commodity futures, and individual commodity futures, using SVM model. The four major commodity indices are Goldman Sachs Commodity Index(GSCI), Dow Jones UBS Commodity Index(DJUI), Thomson Reuters/Core Commodity CRB Index(TRCI), and Rogers International Commodity Index(RI). We selected each two individual futures among three sectors as energy, agriculture, and metals that are actively traded on CME market and have enough liquidity. They are Crude Oil, Natural Gas, Corn, Wheat, Gold and Silver Futures. We made the equally weighted portfolio with six commodity futures for comparing with other commodity indices. We set the 19 macroeconomic indicators including stock market indices, exports & imports trade data, labor market data, and composite leading indicators as the input data of the model because commodity asset is very closely related with the macroeconomic activities. They are 14 US economic indicators, two Chinese economic indicators and two Korean economic indicators. Data period is from January 1990 to May 2017. We set the former 195 monthly data as training data and the latter 125 monthly data as test data. In this study, we verified that the performance of the equally weighted commodity futures portfolio rebalanced by the SVM model is better than that of other commodity indices. The prediction accuracy of the model for the commodity indices does not exceed 50% regardless of the SVM kernel function. On the other hand, the prediction accuracy of equally weighted commodity futures portfolio is 53%. The prediction accuracy of the individual commodity futures model is better than that of commodity indices model especially in agriculture and metal sectors. The individual commodity futures portfolio excluding the energy sector has outperformed the three sectors covered by individual commodity futures portfolio. In order to verify the validity of the model, it is judged that the analysis results should be similar despite variations in data period. So we also examined the odd numbered year data as training data and the even numbered year data as test data and we confirmed that the analysis results are similar. As a result, when we allocate commodity assets to traditional portfolio composed of stock, bond, and cash, we can get more effective investment performance not by investing commodity indices but by investing commodity futures. Especially we can get better performance by rebalanced commodity futures portfolio designed by SVM model.

Quantitative Analysis of Carbohydrate, Protein, and Oil Contents of Korean Foods Using Near-Infrared Reflectance Spectroscopy (근적외 분광분석법을 이용한 국내 유통 식품 함유 탄수화물, 단백질 및 지방의 정량 분석)

  • Song, Lee-Seul;Kim, Young-Hak;Kim, Gi-Ppeum;Ahn, Kyung-Geun;Hwang, Young-Sun;Kang, In-Kyu;Yoon, Sung-Won;Lee, Junsoo;Shin, Ki-Yong;Lee, Woo-Young;Cho, Young Sook;Choung, Myoung-Gun
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.43 no.3
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    • pp.425-430
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    • 2014
  • Foods contain various nutrients such as carbohydrates, protein, oil, vitamins, and minerals. Among them, carbohydrates, protein, and oil are the main constituents of foods. Usually, these constituents are analyzed by the Kjeldahl and Soxhlet method and so on. However, these analytical methods are complex, costly, and time-consuming. Thus, this study aimed to rapidly and effectively analyze carbohydrate, protein, and oil contents with near-infrared reflectance spectroscopy (NIRS). A total of 517 food samples were measured within the wavelength range of 400 to 2,500 nm. Exactly 412 food calibration samples and 162 validation samples were used for NIRS equation development and validation, respectively. In the NIRS equation of carbohydrates, the most accurate equation was obtained under 1, 4, 5, 1 (1st derivative, 4 nm gap, 5 points smoothing, and 1 point second smoothing) math treatment conditions using the weighted MSC (multiplicative scatter correction) scatter correction method with MPLS (modified partial least square) regression. In the case of protein and oil, the best equation were obtained under 2, 5, 5, 3 and 1, 1, 1, 1 conditions, respectively, using standard MSC and standard normal variate only scatter correction methods with MPLS regression. Calibrations of these NIRS equations showed a very high coefficient of determination in calibration ($R^2$: carbohydrates, 0.971; protein, 0.974; oil, 0.937) and low standard error of calibration (carbohydrates, 4.066; protein, 1.080; oil, 1.890). Optimal equation conditions were applied to a validation set of 162 samples. Validation results of these NIRS equations showed a very high coefficient of determination in prediction ($r^2$: carbohydrates, 0.987; protein, 0.970; oil, 0.947) and low standard error of prediction (carbohydrates, 2.515; protein, 1.144; oil, 1.370). Therefore, these NIRS equations can be applicable for determination of carbohydrates, proteins, and oil contents in various foods.

The Roles of Service Failure and Recovery Satisfaction in Customer-Firm Relationship Restoration : Focusing on Carry-over effect and Dynamics among Customer Affection, Customer Trust and Loyalty Intention Before and After the Events (서비스실패의 심각성과 복구만족이 고객-기업 관계회복에 미치는 영향 : 실패이전과 복구이후 고객애정, 고객신뢰, 충성의도의 이월효과 및 역학관계 비교를 중심으로)

  • La, Sun-A
    • Journal of Distribution Research
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    • v.17 no.1
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    • pp.1-36
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    • 2012
  • Service failure is one of the major reasons for customer defection. As the business environment gets tougher and more competitive, a single service failure might bring about fatal consequences to a service provider or a firm. Sometimes a failure won't end up with an unsatisfied customer's simple complaining but with a wide-spread animosity against the service provider or the firm, leading to a threat to the firm's survival itself in the society. Therefore, we are in need of comprehensive understandings of complainants' attitudes and behaviors toward service failures and firm's recovery efforts. Even though a failure itself couldn't be fixed completely, marketers should repair the mind and heart of unsatisfied customers, which can be regarded as an successful recovery strategy in the end. As the outcome of recovery efforts exerted by service providers or firms, recovery of the relationship between customer and service provider need to put on the top in the recovery goal list. With these motivations, the study investigates how service failure and recovery makes the changes in dynamics of fundamental elements of customer-firm relationship, such as customer affection, customer trust and loyalty intention by comparing two time points, before the service failure and after the recovery, focusing on the effects of recovery satisfaction and the failure severity. We adopted La & Choi (2012)'s framework for development of the research model that was based on the previous research stream like Yim et al. (2008) and Thomson et al. (2005). The pivotal background theories of the model are mainly from relationship marketing and social relationships of social psychology. For example, Love, Emotional attachment, Intimacy, and Equity theories regarding human relationships were reviewed. As the results, when recovery satisfaction is high, customer affection and customer trust that were established before the service failure are carried over to the future after the recovery. However, when recovery satisfaction is low, customer-firm relationship that had already established in the past are not carried over but broken up. Regardless of the degree of recovery satisfaction, once a failure occurs loyalty intention is not carried over to the future and the impact of customer trust on loyalty intention becomes stronger. Such changes imply that customers become more prudent and more risk-aversive than the time prior to service failure. The impact of severity of failure on customer affection and customer trust matters only when recovery satisfaction is low. When recovery satisfaction is high, customer affection and customer trust become severity-proof. Interestingly, regardless of the degree of recovery satisfaction, failure severity has a significant negative influence on loyalty intention. Loyalty intention is the most fragile target when a service failure occurs no matter how severe the failure criticality is. Consequently, the ultimate goal of service recovery should be the restoration of customer-firm relationship and recovery of customer trust should be the primary objective to accomplish for a successful recovery performance. Especially when failure severity is high, service recovery should be perceived highly satisfied by the complainants because failure severity matters more when recovery satisfaction is low. Marketers can implement recovery strategies to enhance emotional appeals as well as fair treatments since the both impacts of affection and trust on loyalty intention are significant. In the case of high severity of failure, recovery efforts should be exerted to overreach customer expectation, designed to directly repair customer trust and elaborately designed in the focus of customer-firm communications during the interactional recovery process to affect customer trust rebuilding indirectly. Because it is a longer and harder way to rebuild customer-firm relationship for high severity cases, low recovery satisfaction cannot guarantee customer retention. To prevent customer defection due to service failure of high severity, unexpected rewards as a recovery will be likely to be useful since those will lead to customer delight or customer gratitude toward the service firm. Based on the results of analyses, theoretical and managerial implications are presented. Limitations and future research ideas are also discussed.

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A Contemplation on Measures to Advance Logistics Centers (물류센터 선진화를 위한 발전 방안에 대한 소고)

  • Sun, Il-Suck;Lee, Won-Dong
    • Journal of Distribution Science
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    • v.9 no.1
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    • pp.17-27
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    • 2011
  • As the world becomes more globalized, business competition becomes fiercer, while consumers' needs for less expensive quality products are on the increase. Business operations make an effort to secure a competitive edge in costs and services, and the logistics industry, that is, the industry operating the storing and transporting of goods, once thought to be an expense, begins to be considered as the third cash cow, a source of new income. Logistics centers are central to storage, loading and unloading of deliveries, packaging operations, and dispensing goods' information. As hubs for various deliveries, they also serve as a core infrastructure to smoothly coordinate manufacturing and selling, using varied information and operation systems. Logistics centers are increasingly on the rise as centers of business supply activities, growing beyond their previous role of primarily storing goods. They are no longer just facilities; they have become logistics strongholds that encompass various features from demand forecast to the regulation of supply, manufacturing, and sales by realizing SCM, taking into account marketability and the operation of service and products. However, despite these changes in logistics operations, some centers have been unable to shed their past roles as warehouses. For the continuous development of logistics centers, various measures would be needed, including a revision of current supporting policies, formulating effective management plans, and establishing systematic standards for founding, managing, and controlling logistics centers. To this end, the research explored previous studies on the use and effectiveness of logistics centers. From a theoretical perspective, an evaluation of the overall introduction, purposes, and transitions in the use of logistics centers found issues to ponder and suggested measures to promote and further advance logistics centers. First, a fact-finding survey to establish demand forecast and standardization is needed. As logistics newspapers predicted that after 2012 supply would exceed demand, causing rents to fall, the business environment for logistics centers has faltered. However, since there is a shortage of fact-finding surveys regarding actual demand for domestic logistic centers, it is hard to predict what the future holds for this industry. Accordingly, the first priority should be to get to the essence of the current market situation by conducting accurate domestic and international fact-finding surveys. Based on those, management and evaluation indicators should be developed to build the foundation for the consistent advancement of logistics centers. Second, many policies for logistics centers should be revised or developed. Above all, a guideline for fair trade between a shipper and a commercial logistics center should be enacted. Since there are no standards for fair trade between them, rampant unfair trades according to market practices have brought chaos to market orders, and now the logistics industry is confronting its own difficulties. Therefore, unfair trade cases that currently plague logistics centers should be gathered by the industry and fair trade guidelines should be established and implemented. In addition, restrictive employment regulations for foreign workers should be eased, and logistics centers should be charged industry rates for the use of electricity. Third, various measures should be taken to improve the management environment. First, we need to find out how to activate value-added logistics. Because the traditional purpose of logistics centers was storage and loading/unloading of goods, their profitability had a limit, and the need arose to find a new angle to create a value added service. Logistic centers have been perceived as support for a company's storage, manufacturing, and sales needs, not as creators of profits. The center's role in the company's economics has been lowering costs. However, as the logistics' management environment spiraled, along with its storage purpose, developing a new feature of profit creation should be a desirable goal, and to achieve that, value added logistics should be promoted. Logistics centers can also be improved through cost estimation. In the meantime, they have achieved some strides in facility development but have still fallen behind in others, particularly in management functioning. Lax management has been rampant because the industry has not developed a concept of cost estimation. The centers have since made an effort toward unification, standardization, and informatization while realizing cost reductions by establishing systems for effective management, but it has been hard to produce profits. Thus, there is an urgent need to estimate costs by determining a basic cost range for each division of work at logistics centers. This undertaking can be the first step to improving the ineffective aspects of how they operate. Ongoing research and constant efforts have been made to improve the level of effectiveness in the manufacturing industry, but studies on resource management in logistics centers are hardly enough. Thus, a plan to calculate the optimal level of resources necessary to operate a logistics center should be developed and implemented in management behavior, for example, by standardizing the hours of operation. If logistics centers, shippers, related trade groups, academic figures, and other experts could launch a committee to work with the government and maintain an ongoing relationship, the constraint and cooperation among members would help lead to coherent development plans for logistics centers. If the government continues its efforts to provide financial support, nurture professional workers, and maintain safety management, we can anticipate the continuous advancement of logistics centers.

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A Survey on Added Sugar Intakes from Snacks and Participation Behaviors of Special Event Days Sharing Sweet Foods among Adolescents in Korea (청소년의 간식을 통한 첨가당섭취량 및 고당류식품 관련 이벤트 데이 참여행동에 대한 조사)

  • Kim, Hyun-Ju;Kim, Sun-Hyo
    • Journal of Nutrition and Health
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    • v.42 no.2
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    • pp.135-145
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    • 2009
  • This study was performed to investigate added sugar intakes from processed food-snacks and participation behaviors of special event days sharing sweet foods among adolescents in Korea. Questionnaire survey (n = 959), dietary survey (n = 71) by food record method for 3 days, and snack survey (n = 230) for 3 days were carried out, and subjects were overlapped among three surveys. As a result, middle school students (MS) preferred milks and fermented milks while high school students (HS) preferred breads and fast foods as a snack (p < 0.01). MS and HS took snacks three to six times a week, and HS took snacks more frequently than MS (p < 0.05). Most subjects participated in special event days sharing sweet foods such as friend's birthday (68.4%), Peppro's day (61.5%) and Valentine's day (42.6%). As for merits of these events, MS said ‘they could get along with their friends' and ‘relieve stress', while HS said ‘they could enjoy their own events' and ‘confess their affection to whom they like' (p < 0.01). A group of cookies, biscuits, breads and, cakes was major source of added sugars followed by beverages, sweet jellies of red bean, chocolates and candies for subjects. For MS and HS, daily total added sugar intakes from whole processed food-snacks were $30.5{\pm}23.5g/d$ (3.0-137.9 g/d) and $31.7{\pm}23.2g/d$ (1.2-126.1 g/d), and ratios of daily total energy taken from added sugars of whole processed food-snacks in proportion to daily total energy taken from diet (energy percent of added sugars from snacks) were $6.3{\pm}4.7%$ (0.6-26.1%) and $6.3{\pm}4.4%$ (0.3-23.9%), respectively. These results showed that subjects frequently participated in special event days sharing sweet foods. In addition, energy percent of added sugars from snacks was more than the UL suggested by WHO/FAO for some subjects. Therefore, it is highly critical to monitor adolescents' sugar intakes on a long-term basis and to take nutritional management on their high sugar intakes.