The purpose of this study was to investigate the nutritional status of school lunch supported students and to provide fundamental data for improving their health. In order to do that, we collected the data for 59 school lunch supported students and 71 not supported students in an elementary school in the Taegu Metropolitan city area. The survey was conducted from February 10 to April 30, 2000. The results are as follows; In relation to their body composition(BMI, Fatmass, Percent Body Fat, Mid-upper Arm Muscle Circumference, Mid-upper Arm Circumference), the school lunch supported students' value was lower than that of the not supported students. In relation to food intake according to the food groups, the school lunch supported students' intake of animal food(p<0.05) and total food(p<0.01)was significantly lower than that of the other students. The average intake of energy for both school lunch supported students and not supported students was below the RDA. Also, it was significantly lower than that of the school lunch supported students in relation to the other students(p<0.05). For protein, calcium, phosphorous, and riboflavin, the school lunch supported students' intake was significantly lower than that of the students who were not supported(p<0.05, p<0.05, p<0.05, p<0.05). There are the classification in relation to the nutrient intake in relation to the RDA standards for that of the school lunch supported students. The criteria used for this study was calorie intake, protein, and niacin. The classifications are for groups below 75%, between 75%~100%, and 100%. The nutrients for which the students were deficient( below 75%) of the RDA were iron, calcium, riboflavin, vitamin C, thiamin, calorie, niacin, vitamin A, protein, and phosphorous in the above order.
This study aimed to compare energy nutrient intake, health related factors, physical characteristics, blood biochemical indices, prevalence of metabolic syndrome and odds ratio (OR) of metabolic syndrome based on dietary fat energy ratio. Subjects were 1,205 men aged 40~64 years. The average fat intake was 52.8 g. Subjects were divided into three groups (deficient, normal, excess) based on dietary fat energy ratio. The dietary fat energy rations of the three groups were 36.9%, 42.9% and 20.2%, respectively. Energy and protein intake were increased significantly with dietary fat energy ratio (p<0.001), whereas carbohydrate intake decreased (p<0.001). In health related factors, amount of smoking alone showed increase based on dietary fat energy ratio (p<0.001). In comparing physical characteristics, blood pressure and blood biochemical indices, excepting diastolic blood pressure, increased significantly based on dietary fat energy ratio (p<0.01~p<0.001). The rate that exceeded criteria in risk factors for metabolic syndrome was higher in the serum triglyceride (41.2%) and was lower in the waist circumference (22.2%). Prevalence of metabolic syndrome was 37.9%, and showed significant correlation to dietary fat energy ratio (p<0.05). The OR of metabolic syndrome was higher in deficient and excess group than in normal group, but it had no relationship between fat energy ratio and metabolic syndrome. The results of this study provide basic data to establish fat intake guidelines for prevention of metabolic syndrome in middle-aged men.
Omari, Mohammad Kamran;Lee, Jayoung;Faqeerzada, Mohammad Akbar;Joshi, Rahul;Park, Eunsoo;Cho, Byoung-Kwan
Korean Journal of Agricultural Science
/
v.47
no.1
/
pp.119-130
/
2020
With the current rapid growth and increase in the world's population, the demand for nutritious food and fibers and fuel will increase. Therefore, there is a serious need for the use of breeding programs with the full potential to produce high-yielding crops. However, existing breeding techniques are unable to meet the demand criteria even though genotyping techniques have significantly progressed with the discovery of molecular markers and next-generation sequencing tools, and conventional phenotyping techniques lag behind. Well-organized high-throughput plant phenotyping platforms have been established recently and developed in different parts of the world to address this problem. These platforms use several imaging techniques and technologies to acquire data for quantitative studies related to plant growth, yield, and adaptation to various types of abiotic or biotic stresses (drought, nutrient, disease, salinity, etc.). Phenotyping has become an impediment in genomics studies of plant breeding. In recent years, phenomics, an emerging domain that entails characterizing the full set of phenotypes in a given species, has appeared as a novel approach to enhance genomics data in breeding programs. Imaging techniques are of substantial importance in phenomics. In this study, the importance of current imaging technologies and their applications in plant phenotyping are reviewed, and their advantages and limitations in phenomics are highlighted.
The objectives of this research were to determine mean and maximum tolerance ranges of Carassius auratus ($C_a$) and Cyprinus carpio ($C_c$) populations on various physico-chemical parameters and ecological indicator metrics. Little is known about chemical tolerance ranges of the two species, even though these species are widely distributed species in aquatic ecosystems. Maximum tolerance ranges of $C_a$-population to total nitrogen (TN) and total phosphorus (TP) were $20.3mgL^{-1}$ and $2.0mgL^{-1}$, respectively. Optimal ranges of TN and TP in the $C_a$-population were $1.7-5.0mgL^{-1}$ and $0.06-0.30mgL^{-1}$, respectively. Such nutrient regimes of the $C_a$-population were evaluated as hypereutrophy, indicating high tolerance limits. The $C_c$-population had similar ecological characteristics to $C_a$-population, but the mean tolerance ranges of TN, TP, BOD, and COD were significantly (p < 0.05) greater than the $C_a$-population. Ecological patterns of trophic composition and tolerance guilds in the $C_a$-population were similar to those of the $C_c$-population. The model value of Index of Biological Integrity (IBI) of the habitat where C. auratus and C. carpio co-occurred averaged $15.0{\pm}4.3$ and $12.9{\pm}3.6$, respectively. Based on the modified criteria of the United States Environmental Protection Agency (Klemm et al. 1993), it indicated poor ecological health of both species. These results suggest that both species are highly tolerant to chemical and physical habitat conditions of waterbodies, and that the chemical tolerance range of $C_c$-population was higher than $C_a$-population.
Journal of the Korean Society of Food Science and Nutrition
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v.43
no.2
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pp.179-186
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2014
Metabolomics is the study of changes in the metabolic status of an organism as a consequence of drug treatment, environmental influences, nutrition, lifestyle, genetic variations, toxic exposure, disease, stress, etc, through global or comprehensive identification and quantification of every single metabolite in a biological system. Since most chronic diseases have been demonstrated to be linked to nutrition, nutritional metabolomics has great potential for improving our understanding of the relationship between disease and nutritional status, nutrient, or diet intake by exploring the metabolic effects of a specific food challenge in a more global manner, and improving individual health. In particular, metabolite profiling of biofluids, such as blood, urine, or feces, together with multivariate statistical analysis provides an effective strategy for monitoring human metabolic responses to dietary interventions and lifestyle habits. Therefore, studies of nutritional metabolomics have recently been performed to investigate nutrition-related metabolic pathways and biomarkers, along with their interactions with several diseases, based on animal-, individual-, and population-based criteria with the goal of achieving personalized health care in the future. This article introduces analytical technologies and their application to determination of nutritional phenotypes and nutrition-related diseases in nutritional metabolomics.
An, Kwang-Guk;Lee, Jae-Yon;Bae, Dae-Yeul;Kim, Ja-Hyun;Hwang, Soon-Jin;Won, Doo-Hee;Lee, Jae-Kwan;Kim, Chang-Soo
Journal of Korean Society on Water Environment
/
v.22
no.5
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pp.796-804
/
2006
The objective of this research was to develop ecological multi-metric models using natural fish assemblages for a diagnosis of current stream health condition, and apply the model to nationwide lotic ecosystems of the Geum River, the Youngsan River, and the Sumjin River. The ecological stream health model was based on the index of biological integrity (IBI), which was originally developed in North American streams by Karr (1981), and the Rapid Bioassessment Protocol (RBP), which was scientifically established by the US EPA (1999). The metric numbers and metric attributes were partially changed for the regional applications, so the scoring criteria was modified for the assessment. Overall, metric values, based on the IBI calculations, reflected conventional water quality characteristics, based on nutrient regime, and agreed with results of staticeco-toxicity tests. Some stations impaired in terms of stream health were identified by the IBI approach, and also major key stressors affecting the stream health were identified by additional evaluations of physical habitats. Our preliminary results suggested that biological integrity in stream ecosystems was largely disturbed by habitat degradation as well as chemical pollutions. This new approach would be used as a key tool for ecological restorations and species conservations in the degraded aquatic ecosystems in Korea and applied for elucidating major causes of ecological disturbances. Ultimately, this approach provides us an effective management strategy of stream ecosystems through establishments of ecological networks in various watersheds.
The objectives of this study were to evaluate spatial and temporal variability of water quality in 10 reservoirs and identify the key nutrients (N, P) influencing chlorophyll-a (CHL) along with analysis of empirical models and zonal patterns of total phosphorus (TP) and CHL. We analyzed total nitrogen (TN), TP, CHL, water clarity (Secchi depth, SD), and evaluated potential limiting nutrient using ambient N:P ratios and previous criteria of ambient nutrients. Water clarity and CHL varied largely depending on the seasonal monsoon and type of reservoir, but trophic state was diagnosed as eutrophy, base on mean CHL in most reservoirs. The peak of TP did not match the contents of CHL due to rapid flushing during the high run-off period. In the reservoir of DR, regression coefficient in the $P_r$ was 0.510 but was 0.159 in the $M_o$, while the TP-CHL relation in the YR increased during the monsoon compared to the premonsoon. The regression coefficient in the $P_r$ was not statistically significant but the value of $M_o$ was 0.250. TP showed similar longitudinal zonal gradients among the reservoirs of DR, YR and JR. Empirical models of TP-CHL, based on overall data, showed that CHL was determined by phosphorus($R^2=0.244$, p=0.0019). Regression analysis of CHL-SD showed a stronger linear fit ($R^2=0.638$, p<0.001) than the TP-CHL model.
To investigate the characteristic and the cause of the yellow water zones in the estuary of keum River, physico-chemical measurement and analyses were made on seawater samples collected from 18 stations in May, July, august, October in 1992, and February in 1993 respectively. The yellow water zones were recorded as grade 9 on the forel water color meter and appeared consistently at the stations 1, 2, 3, 4, 5, 7, 8, 9, 13, 14, 15 and 17 through out the year. The organically polluted matter gradually increased in the study area. The nutrient concentrations of inner waters of water zones were higher than that of the surrounding waters and were over red tide criteria levels. But abnormal aggregation of phytoplanktons could not occur because of lack of light and high current velocity. In Conclusion, this yellowish colored water zone was caused not by abnormal aggregation of phytoplanktons but by inorganic matters such as sand or soil particles, $85\%$ of which consisted of suspended solids.
One of the most important factors that cause eutrophication is nutrient materials containing nitrogen and phosphorus which stem from excreation of terrestial sources and release from sediment. Therefore, to improve water quality, the reduction of these nutrients loads should be indispensible. At this study, the three-dimensional numerical hydrodynamic and ecosystem model, which was developed by Institute for Resources and Environment of Japan, were applied to analyze the processes affecting the eutrophication. The residual currents, which were obtained by integrating the simulated tidal currents over 1 tidal cycle, showed the presence of a typical counterclockwise eddies between Gyewha and Garyuk island. Density driven currents were generated westward at surface and eastward at the bottom in Saemankeum area where the fresh waters are flowing into, The ecosystem model was calibrated with the data surveyed in the field of the study area in annual average. The simulated results were fairly good coincided with the observed values within relative error of $30\%$. The simulations of DIN and DIP concentrations were performed using ecosystem model under the conditions of $40\~100\%$ pollution load reductions from pollution sources. In study area, concentration of DIN and DIP were reduced to $59\%$ and $28\%$ in case of the $80\%$ reduction of the input loads from fresh water respectively. But pollution loads from sediment had hardly affected DIN and DIP concentration, The $95\%$ input load abatement is necessary to meet the DIN and DIP concentration of second grade of ocean water quality criteria.
Proceedings of the Korean Society of Food Science and Nutrition Conference
/
2001.12a
/
pp.52-60
/
2001
Purpose: We performed a randomized, double-blind, placebo-controlled trial in mild to moderate myopia patients to evaluate the benefit of taking a nutrient supplement containing anthocyanoside oligomers for improving nocturnal visiual function and/or clinical symptoms. Methods: The subjects included have refractive error between -lD(Diopters) $\~$-8D in both eyes, symptoms of decreased night vision and asthenopia based on the scoring result of a pre-structured questionnaire, and abnormal results of mesopic contrast sensitivity(MCS) screening test showing abnormal curve of contrast sensitivity in the middle and high frequency level, between 6.0 and 30.0 CPD(Cycles per degree) at mesopic condition(-2$\~$0 log cd/$m^2$). Total 60 people who qualified the criteria above were enrolled and the subjects were instructed to take the investigational product (anthocyanoside or placebo) twice daily for a 4 week period. The enrolled subjects were investigated for nocturnal vision performance by MCS and clinical symptoms at their first visit and re-evaluated at post-intervention (4 weeks later). MCS was measured and improvement of contrast threshold level according to each CPD was calculated by subtracting initial values from final values. Age, refractive error, and MCS were compared between the placebo and anthocyanoside. Results: After 4 weeks of drug administration 22 of the anthocyanoside group showed symptom improvement compared to 1 of the placebo group (p=0.000). Contrast sensitivity levels according to each CPD before and after drug treatment showed significant improvement in the anthocyanoside group but not in the placebo group. Mean MCS change of anthocyanoside group is 2.41$\pm$1.91 which showed significant improvement compared to -0.40$\pm$2.47 of the placebo group(p=0.000). MCS changes of anthocyanoside group showed significant improvement compared to placebo group in all levels of CPD(p<0.05). During our investigation none of the subjects complained of specific side effects related to anthocyanoside use. Conclusion: Our results show that under careful selection of people with significant symptoms and definite MCS abnormalities, anthocyanoside oligomers may improve the subjective symptoms and objective MCS results.
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