The relationships among physical growth, dietary intakes, and Zn & Cu status were investigated in total of 128 eight-year-old children selected from the primary school in Seoul. The mean weight and height were 28.3Kg and 129.6cm and the average BMI and R hrer index were 16.75 and 129.25. These values were a little higher than the ones for the average Korean children at the same age. The average serum Zn & Cu levels were 109.98$\mu\textrm{g}$/100ml and 84.13$\mu\textrm{g}$/ml. About 2.4% of the subjects had blood Zn level below the normal range and 8.6% had above the normal level. For Cu, about 43% of the subjects fell into the subnormal level. Daily dietary intakes of calorie, protein and ascorbic acid were relatively adequate but Fe, thiamin, riboflavin, and niacin were insufficient. Ca and vitamin A intakes were very poor. More than 50% of the subjects onsumed Ca and vitamin A less then 2/3 of RDA. There was no consistant relationship among the serum Zn and Cu levels, growth, and the nutrients intakes. But it was observed that serum Zn contents were higher as consumption of milks, fats and oil groups were high in the serum Zn contents were higher as consumption of milks, fats and oil groups were high in the several BMI groups, and lower in taller and heavier children within the group of 110-119% BMI rate. Therefore, it could be summarized that the Zn status of the children was favorable but the Cu status was inadequate. Serum Zn and Cu levels were found to be related to the overall quality and/or the quantity of diet and physical growth pattern of children.
Kristina Lama;Hyehyun Hong;Tae-Jin Park;Jin-Soo Park;Won-Jae Chi;Seung-Young Kim
Journal of Applied Biological Chemistry
/
v.66
/
pp.29-38
/
2023
Recent studies have highlighted the link between diseases and inflammation across our lifespan. Our sedentary lifestyle, high-calorie diet, chronic stress, chronic infections, and exposure to pollutants and xenobiotics, collectively intensify the course and recurrence of infections and inflammation in our bodies, promoting the prevalence of chronic diseases and aging. Given such phenomena and considering additional factors such as the frequency of prescription, and easy access to over-the-counter drugs, the need for anti-inflammatory therapeutics is ever-increasing. However, the readily available anti-inflammatory treatment option comes with a greater risk of side effects or high cost (biologics). Therefore in this growing competition of discovering and developing new potent anti-inflammatory drugs, we focused on utilizing the established knowledge of traditional medicine to find lead compounds. Since lead optimization is an indispensable step toward drug development, we applied this concept for the production of potent anti-inflammatory compounds achieved by structural modification of flavonoids. The derivative obtained through acetylation of myricetin, 3,3',4',5,5',7-hexaacetate myricetin, showed a greater inhibitory effect in the production of pro-inflammatory mediators such as nitric oxide, Prostaglandin E2, and pro-inflammatory cytokines like interleukin-6, interleukin1β, in lipopolysaccharide-stimulated RAW264.7 mouse macrophage cells compared to myricetin. The increased potency of inhibition was in conjunction with an increased inhibitory effect on inducible nitric oxide synthase and cyclooxygenase-2 proteins. Through such measures, this study supports lead optimization for well-established lead compounds from traditional medicine using a simpler and greener chemistry approach for the purpose of designing and developing potent anti-inflammatory therapeutics with possibly fewer side effects and increased bioavailability.
The aim of this research was to examine the management practices related to foodservice.clinical nutrition service provided by hospital foodservice operations. A survey of 30 hospital food nutrition service departments was undertaken and detailed information was collected from each, including surveys of 176 dietitians and 30 foodservice managers. Statistical data analysis was completed using the SAS/win 6.11 package for descriptive analysis and t-test. The results of this study can be summarized as follows : Out of 30 hospitals, 73.3%(22) were directly operated and 26.7%(8) were under contract foodservice management. Licensed number of beds were 768.7, with an average length of 11.4 days. The general characteristics of the dietitians were that 49.4% were aged between 25-29, and 60.8% were ordinary dietitians. 76.7% had bachelor's degree, 15.9% with master's degree and 7.4% were college graduates. Most hospital dietitians had internship training and 35.2% took a training course of 6 to 12 months. The average space of kitchen was 452.52 $m^2$, with 133.63$m^2$ for modified diet space and 18.13$m^2$ for nutrition counselling room space. The total number of normal meals was 1,255.47, with 502.93 of modified meals. The average calorie of normal meals was 2,145.04kcal, with 91.9g of protein contained in normal meal. The total food waste was 351.40kg. An average monthly cost for disposing food waste was 745,171.67 won. 83.3% of the kitchens were on the 1st basement and only 66.7%(20) of 30 hospitals had its own nutrition counselling room. 80% used dishwashers and 66.7% had an exclusive elevator for delivering meals. 80.0% of hospitals used centralized delivery service. 90% had established an area for hygiene division, 70% used dry zone within the dishwashers for sterilization, 66.7% provided spoon and chopstick, and 100% used dish cover. As means of food waste treatment, most hospitals(56.7%) used animal feed by contracters, followed by means of collection by contracters(30%) and in-house high speed fermentation machines(13.3%). It was found that only 33.3% hospitals regularly checked temperatures of the meals given to patients. Total productivity index was 3.72(meals/hour) in average, with an average productivity index for normal diet of 5.41. Average productivity index for modified diet was 4.62. Productivity indices for patient meals and clinical nutrition were 5.01(meals/hour) and 1.12(cases/hour) respectively and hospitals under self-operated foodservice management received higher points on clinical nutrition productivity index(P<0.01) than hospitals under contract foodservice management.
Objectives: This study compared the differences of postmenopausal women's bone mineral density in relation to the degree of obesity, metabolism index and dietary factors that affect bone mineral density. Methods: The subjects included in the study are 39 postmenopausal women of normal weight with body mass index less than $25kg/m^2$ and 32 postmenopausal who are obese. Anthropometry and biochemical analysis were performed and nutrient intakes and DQI-I were assessed. Results: Normal weight women were $56.03{\pm}3.76years$ old and obese women were $58.09{\pm}5.13years$ old and there was no significant difference in age between the two groups. The T-score of bone mineral density was $0.03{\pm}1.06$ in normal weight women and $-0.60{\pm}1.47$ in obese women and this was significantly different between the two groups (p<0.05). Blood Leptin concentration was significantly lower in normal weight women ($6.09{\pm}3.37ng/mL$) compared to obese women in ($9.01{\pm}4.99ng/mL$) (p<0.05). The total score of diet quality index-international was $70.41{\pm}9.34$ in normal weight women and $64.93{\pm}7.82$ in obese women (p<0.05). T-score of bone mineral density showed negative correlations with percentage of body fat (r = -0.233, p=0.05), BMI (r = -0.197, p=0.017), triglyceride (r = -0.281, p=0.020) and leptin (r = -0.308, p=0.011). The results of multiple regression analysis performed as the method of entry showed that with 22.0% of explanation power, percentage of body fat (${\beta}=-0.048$, p<0.05), triglyceride (${\beta}=-0.005$, p<0.05) and HDL-cholesterol (${\beta}=0.034$, p<0.01), moderation of DQI-I (${\beta}=-0.231$, p<0.05) affected T-score significantly. Conclusions: The results of the study showed that obese women have less bone density than those with normal weight women. In addition, the factor analysis result that affect bone mineral density showed that intake of fat is a very important factor. Therefore, postmenopausal women need to maintain normal weight and manage blood lipid levels within normal range. They also need to take various sources of protein and reduce consumption of empty calorie foods that have high calories, fat, cholesterol and sodium.
Adiponectin has been known to improve insulin sensitivity and elicit glucose uptake via increased glucose transporter 4 (GLUT4) translocation. In the current study, mRNA expression levels of adiponectin and GLUT4 were measured in subcutaneous adipose tissue from C57BL/6 mice fed normal (ND) or high-fat diet (HFD) until 16, 26, 36, 47, or 77 weeks of age starting from 6 weeks of age. Expression levels were also measured in mice with calorie restriction (CR) and in thiazolidinedione (TZD) treated mice. Using quantitative real-time PCR, we demonstrated that GLUT4 expression in adipose tissue significantly decreased in HFD mice groups and increased in CR (p<0.05) and TZD (p=0.007) groups while there was no difference in adiponectin mRNA expression levels between experimental and control groups. General linear regression models were used to assess the association of gene expression levels between adiponectin and GLUT4 and to determine whether adiponectin affects GLUT4 transcription. mRNA expression levels of adiponectin and GLUT4 are significantly associated each other in mice fed a ND (p<0.0001) or HFD (p<0.0001), in groups separated into each age and diet, and CR group (p=0.002), but not in TZD group (p=0.73). These results demonstrated that gene expression of adiponectin and GLUT4 is strongly associated, suggesting that there is a common regulatory mechanism for adiponectin and GLUT4 gene expression and/or adiponectin has a direct role in GLUT4 gene expression in adipose tissue.
Purpose: This study aimed to determine the consistency of 1-day and 3-day average dietary intake using the 24-hour diet recall method and to investigate the relationship of diet intake with physiological indicators potentially associated with diabetic complications in patients with diabetes. Methods: This study conducted a secondary data analysis using pretest data of a nursing intervention study entitled "Development of deep learning based AI coaching program for diabetic patients with high risk and examination of its effects." Data were analyzed through descriptive analysis, one-way repeated-measures analysis of variance, and Pearson correlation coefficients using SPSS 26.0. Results: The average total daily calorie intake over 3 days was 1,494.48 ± 436.47 kcal/day: 1,510.90 ± 547.76 kcal/day on the first day, 1,414.22 ± 527.58 kcal/day on the second day, 1,558.34 ± 645.83 kcal/ day on the third day, showing significant differences (F = 3.59, p = .031). The correlation coefficient between the 1-day and 3-day average dietary intake was 0.41-0.77 for each nutrient and 0.62-0.80 for each food group. Vegetable intake showed negative correlations with body mass index (BMI; r = -.19, p = .023) and triglycerides (r = -.18, p = .036), whereas dairy intake was positively associated with low-density lipoprotein-cholesterol (LDL; r = -0.18, p = .034) and triglycerides (r = .40, p<.001). Conclusion: This study demonstrated that 1-day dietary intake was highly correlated with 3-day average dietary intake using the 24-hour diet recall method. Food groups showed significant associations with physiological indicators of potential diabetic complications such as BMI, triglycerides, and LDL levels. Further studies are needed to improve the knowledge base on the relationships between physiological indicators and food groups.
This study was designed to investigate and evaluate the dietary intake of 30 housewives, aged 35 to 59. The subjects kept daily diet records lot a period of one year. Their mean daily nutrient intakes met or exceeded the RDA (recommended dietary allowance) for all categories except energy, calcium, iron, vitamin A, and vitamin B$_2$. Mean daily calorie intakes were 81.2% of the RDA. The subjects received about 19% of their energy from fat and 15% from protein. Nutrient adequacy ratios (NAR) were 0.60 for calcium, 0.62 for iron, 0.71 for vitamin A, and 0.76 for vitamin B$_2$. The mean adequacy ratio (MAR) was 0.79. Subjects received various nutrients from rice, pork, eggs, and Kimchi. Rice was a major contribute. to many subjects' nutrient intake due to the high amount of consumption. Pork, rice, and vegetable oil greatly contributed to fat intakes while eggs, pork, and beef supplied a high level of cholesterol compared to other foods. Kimchi, anchovies, and milk were the major contributors of calcium, while rice, pork, and Kimchi were the major contributors of iron. These results indicate that the major nutritional problem of middle-aged housewives is an overall inadequate intake of energy, calcium, and iron.
The foraging behavior of the beauty goby, Pterogobius zacalles, was studied at Mutu Bay, Aomori province, Japan. P. zacalles harvested invertebrates prey from benthic substrates by using two distinct foraging modes: picking substrate among boulders and sucking surface of boulder. Among others, picking substrate among boulders was primarily used foraging mode. The foraging modes of P. zacalles were followed by three stages: searching for prey, feeding and chewing. For foraging, it takes less time to suck out the surface of boulder than pick up substrate among boulders, because the resting site of P. zacalles is close to the place where they do sucking. The diets of P. zacalles primarily consisted of benthic amphipods regardless of their foraging modes. Only the difference was that they can get bigger amphipods when they did picking rather than sucking. Even though it needs more time and energy to do picking, P. zacalles was compensated by getting a high-calorie diet eventually, therefore prey size can be the determinant of their foraging modes.
BACKGROUND/OBJECTIVES: As the prevalence of chronic diseases has risen, the need for straightforward diagnostic tools for monitoring nutrition status to improve nutrition counseling and disease prevention has likewise increased. This study developed an easily usable dietary behavior pattern diagnosis checklist and investigated its correlation with dietary quality index. SUBJECTS/METHODS: A draft dietary pattern evaluation tool was generated by analyzing previous studies. The draft questionnaire comprised 61 questions for assessing dietary habits. A survey was administered to 320 adults (19 to 64 years old) using the dietary pattern evaluation tool and 24-hour-recall method between March and May of 2014 in Jeonbuk province and the metropolitan area. Principal component analysis with varimax rotation was performed to identify dietary behavior patterns. Nutritional analysis was conducted using CAN-Pro 4.0, and the Diet Quality Index-International (DQI-I) was calculated to assess dietary quality. The correlation between dietary pattern scores and DQI-I scores was also analyzed. RESULTS: The factor analysis resulted in a total of 34 questions mapped to four main dietary behavior patterns: "high fat and calorie" pattern (12 questions), "overeating/binge" pattern (nine questions), "dietary impulse" pattern (eight questions), and "unbalanced food intake" pattern (five questions). The four dietary behavior patterns were negatively correlated with DQI-I adequacy and total scores (P < 0.01). CONCLUSIONS: The dietary pattern evaluation tool developed in this study can be used to diagnose a client's dietary behavior problems and is available as a nutrition counseling tool in the field.
Objectives: This study investigated the utilization and satisfaction of lunchbox by considering the dietary lifestyle of the consumer, in order to refine the purchasing behavior of adults with experience in using lunchboxes, and to provide basic data for efficient menu configuration and direction towards improvement. Methods: A total of 600 adults in Seoul and Gyeonggi-do answered a self-administered questionnaire designed to investigate general characteristics, utilization, menu preference, satisfaction, prospection, and improvement of lunchbox, according to the dietary lifestyle. Results: The study subjects were classified into 5 groups: 'taste seeking group', 'safety seeking group', 'health seeking group', 'economic seeking group' and 'convenience seeking group. Considering purchase value of the lunchbox, the 'taste seeking group' had a high utilization rate (35.1%) for prices less than 4,000 won (P < 0.05). Lunchboxes were mainly purchased at the lunchbox store (43.3%) and convenience store (37.7%). The important factor that contributed to purchasing a lunchbox was taste (61.3%), which was highest in the 'taste seeking group' (P < 0.01). The 'health seeking group' showed the highest preference for the low-salt diet lunchbox menu (26.0%) (P < 0.05). The satisfaction of 'health seeking groups' was lowest when considering addition of condiments (2.34%), origin of ingredient (2.59%), and provided calorie (2.81%) (P < 0.05). The overall response indicated future use of the lunchbox (69.6%) (P < 0.01); 35.8% respondents recommended the purchase of lunchbox, where convenience of purchase was the highest factor contributing to recommendation (50.2%) (P < 0.05). Conclusions: Taken together, our results indicate that taste was emphasized in every group purchasing the lunch box. Convenience of purchase was the highest factor contributing to satisfaction, which was relatively low when considering addition of condiments, nutrition and origin of ingredients. We propose that it is necessary to improve the development of various menus for increasing satisfaction by selecting the right ingredients contributing to good health of the consumer.
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