• Korean Journal of Community Nutrition
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• v.6 no.1
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• pp.3-15
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• 2001

To assess diet quality by food group intake and to investigate the interrelationship of age, dietary diversity score(DDS), dietary variety score(DVS), dietary frequency score(DFS), food group intake and nutrient intake with food group intake, a dietary survey was conducted with 176 preschool children aged 1 to 6 in Busan using a 24-hr recall method. Food group intake was assessed by food number consumed and intake frequency by six food groups(grain, meat, vegetable, fruit, dairy, sweets group). The mean food numbers consumed and intake frequencies by six feed group were 3.1 and 4.0 in the grain group, 3.6 and 4.0 in the meat group, 3.5 and 4.1 in the vegetable group, 1.0 and 1.1 in the fruit group, 1.3 and 1.5 in the dairy group, 1.4 and 1.4 in the sweets group respectively. As age increased, the intake frequency of the grain group(p<0.05) increased but that of the dairy group(p<0.05) decreased significantly. The DVS and DFS didn't show significant correlations with intake frequency of the dairy group. The grain group intake had significant positive correlations with intakes of the meat, vegetable, and fruit groups. The vegetable group intake had signigicant positive correlations with intakes of the grain and meat groups. The dairy group intake had significant positive correlation with sweets group intake but negative correlations with intakes of the grain and vegetable groups. As the intake frequency of the meat group increased, the NAR(nutrient adequacy ratios) of all nutrients and NAR(mean adequacy ratio) increased significantly. NARs of provein iron, vitamin B$_1$, niacin had the highest correlation with the meat group intake and those of protein, calcium, phosphorous, and vitamin B$_2$ had the highest correlation with the dairy group intake. NARs of vitamin A and vitamin C had the highest correlation with intake of the vegetable and fruit groups respectively. Children with food number consumed and intake frequency of above 6 and 4 in the grain group or above 6 and 6 in the meat group or above 4 and 8 on the

• Korean Journal of Community Nutrition
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• v.25 no.2
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• pp.150-158
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• 2020

Objectives: This study was conducted to estimate usual meat intake distribution, which may have been over/underestimated when estimations were made using only the third food codes of the Korea National Health and Nutrition Examination Survey (KNHANES). Methods: For this purpose, 24-hour recall data from the 2009 Korea National Health and Nutrition Examination Survey, which conducted a partial 2-day survey of food intake, were used. The Multiple Source Method (MSM) was used to estimate the distribution of the usual intake of red and processed meats. Results: The results of this study show that the mean intake of red meat was 45.07 g while that of processed meat was 4.33 g. These results are slightly higher than the consumption calculated using only tertiary food code, and the difference was statistically significant. Furthermore, characteristics of the estimated usual intake distribution were a smaller standard deviation, increased lower percentiles, and decreased upper percentiles compared to the 2-day mean intake distribution for both red and processed meats. The proportion of individuals not consuming red meat decreased substantially from approximately 37% to 0.7%. The proportion of consumption that exceeded 90 g, which is the upper limit of red meat intake recommended by the National Health Service (NHS), was only approximately 10% in the distribution of usual intake. Conclusions: As the consumption of processed foods is expected to continuously increase, caution is needed regarding the processes used to calculate food (group) intake to avoid over/underestimation. Moreover, use of KNHANES data to calculate the proportion of the population at risk of insufficiency or excess intake of certain nutrients or food (group), based on one day intake that does not address within-individual variation, may lead to biased estimates.

• Journal of the Korean Society of Food Science and Nutrition
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• v.28 no.1
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• pp.246-256
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• 1999

This study was undertaken to investigate the perception and the consumption behavior for the meats in Koreans. The subjects were 491 Koreans including the ones residing in New Zealand. Most of subjects answered the meats are used for supper time. The frequency of the meats intake was affected by education and monthly income level. 69.2% of the subjects had positive response such as increased stamina and fulled stomach for psychological state after the meats intake. The use of meats recently revealed that 48% of the subjects have decreased its consumption. The main reasons diminished the use of meats were for the good health and economic state. Women were found to avoid the meats fat to a greater degree than men. The kinds of the meat used frequently were beef, pork and chicken. The younger tended to higher the frequency of the processed meats intake than the older. According to 3 level of BMI of the subjects, there were significant differences in the amount of the meat intake and perception for necessity of the meat. This study showed that the higher the preference for meat, the education and the monthly income level, the more the meat intake frequency. There were not significant differences between Koreans residing in domestic and New Zealand except the dog meat in the perception and consumption of the meat.

• Journal of the Korea Society of Computer and Information
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• v.23 no.6
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• pp.51-58
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• 2018

This study was conducted to investigate the relationship between drinking, smoking, meat intake, and exercise. The participants were 1,060 males and females who voluntarily responded to the survey by visiting the health promotion booth at the H Festival held in C city in 2014. Research data were collected in interview form using questionnaires on alcohol use, smoking, exercise, and meat intake. The data were analyzed by descriptive analysis, cross tabulation analysis, multinominal logistic regression after stratification of gender using the SPSS 24 program. The results of the study are as follows: Smokers had a significantly higher frequency of drinking ($x^2=163.33$, p<.001) than non-smokers. Meat intake was high when alcohol use was high ($x^2=35.13$, p<.001). The risk rates for smoking, meat consumption, and exercise related to alcohol use are as follows. The smoking was higher as the frequency of drinking increased. For men, smoking OR(odd ratio) was 6.26 (p=.001) and for women, smoking risk OR was 16.82 (p=.002). Meats intake showed a higher OR as the alcohol use increased. The OR of almost daily ingestion of meat at frequent drinking days was 4.40 (p=.002) for males and 4.52(p=.009) for females. As the frequency of drinking increased, the OR of days of exercise tended to decrease. In men, the OR was 0.36 (p=.003), the lowest in the probability of exercising more than 5 days when drinking high. In the case of women drinking less than once a week, the OR was 0.43 (p=.027), which was the lowest for exercise for 5 days or more. In conclusion, the higher the frequency of drinking, the higher the smoking and meat intake, and the less exercise. If drinking, smoking, and meat intake are high but there is a lack of exercise, a chronic disease can occur and cause premature death unless there is a change in the new health behavior. The results of this study suggest researches to understand the motives related to alcohol abstinence, smoking cessation, dietary control and exercise, and to develop programs.

• Korean Journal of Community Nutrition
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• v.6 no.3
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• pp.542-552
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• 2001

The purpose of this study was to investigate dietary habits and food compliance in stroke patients. One-hundred sixty eight elderly stroke patients and 97 young patients with first -ever stroke admitted to Asan Medical Center between 1994 and 1998 were studied. Using a structured interview, we assessed food intake. food consumption frequency and compliance to low salt, low meat hight fish and high fruit and vegetable diets. These results were analyzed with X$^2$, t-tests, and analysis of variance (ANOVA) using the SAS package program. Salted food intake and cholesterol-containing food frequency were increased whereas frequency of fruits and vegetables intake was decreased in young stroke patients compared to the elderly. Meat intake and cholesterol-containing food frequency were increased in the males compared to the females in elderly stroke patients. and fish intake and cholesterol-containing food frequency were higher in the males than the females in the young. In patients with high economic status, frequency of fruits and vegetables was elevated. Also compliance the low meat and high fruit and vegetable diet in young patients was lower than that in the elderly. When the life-style risk factors influencing the food intake of frequency of fruits and vegetables was affected by education in young stroke patients. In elderly stroke patients, meat intake frequency of cholesterol-containing foods and fruits and vegetables were influenced by sex and /or income. Our results suggest that dietary intake of salt meat ,cholesterol-containing foods. fruits and vegetables in stroke patients may vary with age, sex the presence of risk factors or economic status therefore guidelines and nutrition education should by formulated to prevent stroke recurrence based on dietary habits and risk factors of individual patients.

• Asian-Australasian Journal of Animal Sciences
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• v.18 no.1
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• pp.75-79
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• 2005

There were three trials involved in this experiment. All piglets in Trial 1 were randomly distributed into the following 4 treatments. Treatment 1. Corn-soybean diet with 5% SDPP. The tryptophan level was 0.237%. Treatment 2. Corn-soybean diet with 10% meat and bone meal. The tryptophan level was 0.177%. Treatment 3. Treatment 1+0.0662% synthetic tryptophan. The total tryptophan level was 0.303. Treatment 4. Treatment 2+0.0662% synthetic tryptophan. The total tryptophan level was 0.236. Piglets in Trial 2 were distributed randomly into the following 4 treatments. Treatment 1: corn-soybean diet+10% meat and bone meal. The total tryptophan level was 0.176%. Treatment 2: corn-soybean diet+10% meat and bone meal+5% SDPP. The total tryptophan level was 0.180%. Treatment 3: Treatment 1 diet+0.004% synthetic tryptophan. The total tryptophan level was 0.180%. Treatment 4: Treatment 1 diet+0.631% synthetic tryptophan. The total tryptophan level was 0.237%. There were 4 treatments in Trial 3. Treatment 1: cornsoybean diet+10% meat and bone meal. The total tryptophan level was 0.176%. Treatment 2: Treatment 1 diet+0.061% synthetic tryptophan. The total tryptophan level was 0.237%. Treatment 3: Treatment 2 diet+0.061% synthetic tryptophan. The total tryptophan level was 0.298%. Treatment 4: corn-soybean diet+10% meat and bone meal+5% SDPP. The total tryptophan level was 0.180%. The results of Trial 1 showed that the piglets ate significantly more (p<0.05) when feed included SDPP in the diet during the first 2 weeks. The feed intake also increased when synthetic tryptophan was added in the 5% meat and bone meal diet; however, the difference did not reach a significant level (p>0.05) during the first 2 weeks. Three weeks onwards the feed intake of 5% meat and bone meal treatment was significantly lower (p<0.05) than for the other three treatments. The results of Trial 2 showed that the feed intake could be significantly improved only when the total tryptophan level reached 0.237%. Piglets in the 5% SDPP treatment had higher feed intake than piglets in 10% meat and bone meal treatment with 0.180% of tryptophan, but did not reach a significant level (p<0.05). Body weight gain also had the same trend as feed intake. The pigs in Treatment 1, the lowest total level of tryptophan treatment (0.176%), had lowest feed intake and weight gain, but the difference did not reach a significant level (p>0.05). The pigs in Treatment 1 of Trial 3 had the lowest feed intake and weight gain (p>0.05). Treatment 2 (0.237%) had the highest average feed intake from Week 1 to Week 5; the second best result was recorded in Treatment 4. As for the weight gain of the piglets in Treatment 4 (5% SDPP), they had a higher average weight during the first 3 weeks. The feed efficiency was better for Treatment 4 (5% SDPP) during the first 2 weeks. The results of these trials showed that both SDPP and tryptophan had a trend to improve the feed intake and weight gain.

• Asian-Australasian Journal of Animal Sciences
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• v.9 no.3
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• pp.261-266
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• 1996

Carcass analysis of most economical parts of broilers were studied after they were fed with different protein levels of 16, 18, 20 and 23% for the starter period and 16, 18 and 20% for the grower period. The energy value of the feed was constant at 3,200 kcal ME/kg. The results for the starter and grower broilers showed similar pattern of responses. There were significant increased in weight gain, feed intake, protein intake, while there were significant decrease in the feed conversion ratio (FCR), abdominal fat and carcass fat when dietary protein increased. For the economical parts of the carcass, most of the fats were found in the thigh meat, while the lowest was found in the breast meat. The protein levels did not influence the meat production of the breast, drumstick and thigh portion. Increasing the protein intake, increased the broiler performance in relation to increased protein content of the breast, drumstick and thigh meat. The different fat contents of the meat might be due to differences in the rate of lipogenesis and fat deposition of the meat.

• Korean journal of food and cookery science
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• v.15 no.5
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• pp.524-532
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• 1999

This study was carried out to obtain information about preferences of the meat food in 491 Koreans including the ones living in New Zealand. General preference for the meats was not significant differences according to sex, monthly income level, residing area, marriage status and family number. Degree of preferences for the meats which have consumed commonly such as beef, pork and chicken showed relatively a high tendency, but the meats such as goat, lamb, deer and turkey were very low in preference score. In the meats cooking style, most subjects preferred Korean style followed by Chinese and western style. The younger had a high score than the older inpreference of the processed meats. The meat foods subjects preferred were Tzeams, Kui, Tangs, cutlets and Tangsuyuks. There were not significant differences in preferences for the meats between Korean living in domestic and New Zealand. This study showed that the meat foods which theirs preference was high have had a high tendency in the intake frequency also. Preferences for the meat food was affected by intake frequency and amount of intake and nutritional knowledge, but not related to BMI, health status and monthly income level.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.23
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• pp.10421-10425
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• 2015

Background: While the incidence of non-Hodgkins lymphoma (NHL) has been rising worldwide, the reasons remain undefined. Recent research has focused on effect of red andf processed meat intake as a risk factor, but with inconclusive results. We therefore conducted a meta-analysis of data published to date, to ascertain the overall association between intake and NHL. Materials and Methods: A published literature search was performed through Pubmed, Cochrane Library, Medline, and Science Citation Index Expanded databases for articles published in English. Pooled odds ratios (ORs) and 95% confidence intervals (95%CIs) were calculated using random or fixed effects models. Heterogeneity was assessed using Chi-square and I2 statistics. Dissemination bias was evaluated by funnel plot analysis.We performed a formal meta-analysis using summary measures from these studies. Results: In total, 11 published studies were included in the final analysis. The combined analysis revealed that there was significant association between the red meat and NHL risk (OR=1.10, 95%CI: 1.02 to 1.19, p=0.01). Additionally, there was showed significance association between processed red meat and NHL risk (OR=1.17, 95%CI: 1.06 to 1.29, p=0.001). In subgroup analysis, a statistical significant association was noted between diffuse large B-cell lymphoma (DLBCL) (OR=1.20, 95%CI: 1.04 to 2.37, P=0.01) and red meat intake. Conclusions: In this meta-Analysis, there was evidence for association between consumption of red meat, or processed meat and risk of NHL, particularly with the DLBCL subtype in the red meat case.

• Animal Bioscience
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• v.34 no.10
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• pp.1684-1694
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• 2021

Objective: This study investigated the association between feed efficiency, physicochemical properties, flavor precursors and biomolecules in the thigh meat of Korat (KR) chickens. Methods: The feed intake and body weight of individual male KR chickens were recorded from 1 to 10 weeks old to calculate the individual residual feed intake (RFI) of 75 birds. At 10 weeks of age, chickens with the 10 highest (HRFI) and lowest RFI (LRFI) were slaughtered to provide thigh meat samples. The physicochemical properties (ultimate pH, water holding capacity [WHC], drip loss) and flavor precursors (guanosine monophosphate, inosine monophosphate (IMP), adenosine monophosphate and inosine) were analyzed conventionally, and Fourier transform infrared spectroscopy was used to identify the composition of biomolecules (lipids, ester lipids, amide I, amide II, amide III, and carbohydrates) and the secondary structure of the proteins. A group t-test was used to determine significant differences between mean values and principal component analysis to classify thigh meat samples into LRFI and HRFI KR chickens. Results: The physicochemical properties of thigh meat samples from LRFI and HRFI KR chickens were not significantly different but the IMP content, ratios of lipid, lipid ester, protein (amide I, amide II) were significantly different (p<0.05). The correlation loading results showed that the LRFI group was correlated with high ratios of lipids, lipid esters, collagen content (amide III) and beta sheet protein (rg loading >0.5) while the HRFI group was positively correlated with protein (amide I, amide II), alpha helix protein, IMP content, carbohydrate, ultimate pH and WHC (rg loading >0.5). Conclusion: The thigh meat from chickens with different RFI differed in physiochemical properties affecting meat texture, and in the contents of flavor precursors and biomolecules affecting the nutritional value of meat. This information can help animal breeders to make genetic improvements by taking more account of traits related to RFI.