Polychlorinated biphenyls(PCBs) are halogenated aromatic compounds with the empirical formula $C_{12}$$H_{10-n}$C $l_{n}$(n=1~10), and are a mixture of possible 209 different chlorinated congeners. PCBs were widely used as dielectric fluids for capacitors and transformers, plasticizers, lubricant inks and paint addirives. Once released into the environment, PCBs persist for years because they are so resistant to degradation. In addition to their persistence in the environment, PCBs in ecological food chains undergo biomagnification because of their high degree of lipophilicity. In 1970s, the worldwide production of PCBs was ceased and the import of PCBs was prohibited since 1983 in Korea. In spite of these actions, many PCBs seems to be still in use. The environmental load of PCBs will continue to be recycled through air, land, water, and the biosphere for decades to come. This study was conducted to measure the concentrations of PCBs in the serum samples of 112 women by GC/MSD and GC/ECD. The main results of this study were as follows. 1. PCBs were detected in all samples. The mean $\pm$SD levels of PCBs in the serum were 3.613$\pm$0.759 ppb, and median were 3.828 ppb. 2. The correlation coefficients of the concentrations of 13 PCB congeners were from minimum, 0.7913 to maximum, 0.9985, and all was significant(p=0.0001). The correlation coefficient between the concentrations of PCBs and p,p'-DDE was 0.9641(p=0.0001). 3. There was a positive association between age and PCBs' concentrations (simple linear regression ; $R^2$=0.86, $\beta$=0.08023, p<0.001). 4. There was a positive association between total lipids in the serum and PCBs' concentrations (simple linear regression ; $R^2$=0.7058, $\beta$=0.00486, p<0.001). 5. For possible predictors of PCBs and p,p' -DDE levels in the serum, age adjusted model (Y=$\beta$$_{0}$+$\beta$$_1$age+ $B_2$X) was applied. For BMI, major residential area, wether to eat caught fish by angling, where to eat caught fish by angling(by parents in the past), fish consumption, meat consumption, meat consumption, and dairy consumption, there was no association. For total conception frequency and lactation frequency and lactation period, there was negative association.ion.
Listeria monocytogenes is a highly pathogenic gram-positive bacterium that is easily isolated from cheese, meat, processed meat products, and smoked salmon. A zero-tolerance (n=5, c=0, m=0/25 g) criteria has been applied for L. monocytogenes in cheese meaning that L. monocytogenes must not be detected in any 25 g of samples. However, there was a lack of scientific information behind this criteria. Therefore, in this study, we conducted a risk assessment based on literature reviews to provide scientific information supporting the baseline and to raise public awareness of L. monocytogenes foodborne illness. Quantitative risk assessment of L. monocytogenes for cheese was conducted using the following steps: exposure assessment, hazard characterization, and risk characterization. As a result, the initial contamination level of L. monocytogenes was -4.0 Log CFU/g in cheese. The consumption frequency of cheese was 11.8%, and the appropriate probability distribution for amount of cheese consumed was a Lognormal distribution with an average of 32.5 g. In conclusion, the mean of probabilities of foodborne illness caused by the consumption of cheese was 5.09×10-7 in the healthy population and 4.32×10-6 in the susceptible population. Consumption frequency has the biggest effect on the probability of foodborne illness, but storage and transportation times have also been found to affect the probability of foodborne illness; thus, management of the distribution environment should be considered important. Through this risk assessment, scientific data to support the criteria for L. monocytogenes in cheese could be obtained. In addition, we recommend that further risk assessment studies of L. monocytogenes in various foods be conducted in the future.
Purpose: This study was conducted to identify the association between insulin resistance and the major dietary patterns of Korean adults. Methods: This study used data from the 2015 Korea National Health and Nutrition Examination Survey. The subjects were 2,276 adults aged 19 to 64 years old. Based on the food frequency questionnaire data, 112 food items were reclassified into 30 food groups. The principal component analysis method was applied to identify major dietary patterns. We used homeostatic model assessment of insulin resistance (HOMA-IR) and quantitative insulin sensitivity check index (QUICKI) value as indicators of insulin resistance. The association between major dietary patterns and insulin resistance was investigated using logistic regression analysis. Results: Three major dietary patterns were identified and assigned descriptive names based on the food items with high loadings: 'healthy Korean meal pattern', 'western meal pattern', and 'white rice, alcohol, meat pattern'. As the 'white rice, alcohol, meat pattern' score increased, significant increasing trends for fasting glucose concentration and HOMA-IR and a significant decreasing trend for QUICKI were observed after adjusting for age and sex. The odds ratio of insulin resistance according to the 'healthy Korean meal pattern' and the 'western meal pattern' were not statistically significant. the 'white rice, alcohol, meat pattern' showed a significant positive association with the risk of insulin resistance after adjusting for covariates. Conclusion: These results suggest that the 'white rice, alcohol, meat pattern' is positively associated with the risk of insulin resistance. The white rice, alcohol, meat pattern was related to the high consumption of alcohol together with rice or meat. This pattern was also associated with the high intake of sodium and low intakes of vitamin C, calcium, potassium, and dietary fiber. To confirm the association, further longitudinal studies are required.
Sister chromatid exchange(SCE) has recently become a common cytogenic assay system for detecting exposure to chemical mutagens and carcinogens. One application of SCE is the monitoring of populations believed to be exposed to such agents. A cross-sectional study of SCE frequency in peripheral blood lymphocytes from 40 college students aged 18 to 26 years was conducted. The effects of cigarette smoking alcohol and coffee consumption, dietary and environmental factors on SCE were assessed. A mean spontaneous SCE per cell for the smokers(4.88$\pm$0.17). The SCE levels of the smokers were associated with the personal smoking amount ; the observed increase in the SCE frequency correlated with the number of cigarettes smoked per day (P<0.05). There was no effect of age on SCE. There were positive linear relationship between SCE and food frequency score of meat and fish group (P<0.05) or instant food group(P<0.01) in non-smokers. But in smokers, a significant inverse association between SCE and food frequency score of green and yellow vegetable group(P<0.05). Alcohol intake produced a significant increase(P<0.01) of SCE in comparison with the mean SCE for those not drinking alcohol in combine subjects. Other dietary parameters, including coffee intake, use of artificial sweetners and processed foods, did not show any increase in SCE. SCEs were inversely related to blood glucose and serum cholesterol levels of the combine subjects. No significant correlations were found between SCE frequencise and any other hematological parameters of the subjects.
Although 24-hour recalls (24HR) capture detailed information on a person's food intake, this method suffers from difficulties in adequately measuring the usual intake of foods that are not consumed daily by most. Therefore, the purpose of this study is to investigate whether frequency of Food Frequency Questionnaire (FFQ) can be utilized in form of covariate when calculating usual intake of episodically-consumed foods and their distributions. Data used in this study was from the Korean National Healthy and Nutrition Examination Survey (KNHANES) 2012~2014 (3 years) and 10,945 subjects participated in this survey who performed both of 24HR and FFQ. In order to analyze the data, amount of intake in each food, which was reported in 24HR was recalculated according to 112 items in FFQ. We first assessed the relationship between FFQ frequency and the amount reported on 24HR. Second, we assessed the relationship between usual portion size of FFQ and the amount reported on 24HR. Our hypothesis was that people who reported high FFQ-reported frequency or FFQ-reported usual portion size would consume larger amounts of that food on 24HR than those with lower frequency or portion size of consumption of a food on the FFQ. For 59 of 112 individual foods (52.2%), there were statistically significant increasing relationships between FFQ frequency and consumption-day intake. Also, 102 of 112 individual foods (90.3%), there were statistically significant increasing relationships between FFQ usual portion size and consumption-day intake. For 10 of 13 food groups (grains, fruits, eggs, pulses, root and tuber crops, milk products, meat, beverage, alcoholic drink, vegetable, seaweeds and others), there were statistically significant increasing relationships between FFQ frequency and consumption-day intake. And there were statistically significant increasing relationships between FFQ usual portion size and consumption-day intake for all food groups. This study confirmed consistent correlation between reported FFQ frequency or usual portion size of food (group) consumption and consumption-day intake on 24HR. Therefore the frequency data may be utilized as important covariate when estimating usual intake of food or food groups.
BACKGROUND/OBJECTIVE: It is expected that dairy products such as cheeses, which are the main source of cholesterol and saturated fat, may lead to the development or increase the risk of cardiovascular and metabolic diseases; however, the results of different studies are inconsistent. This study was conducted to assess the association between cheese consumption and cardiovascular risk factors in an Iranian adult population. SUBJECTS/METHODS: Information from the Isfahan Healthy Heart Program (IHHP) was used for this cross-sectional study with a total of 1,752 participants (782 men and 970 women). Weight, height, waist and hip circumference measurement, as well as fasting blood samples were gathered and biochemical assessments were done. To evaluate the dietary intakes of participants a validated food frequency questionnaire, consists of 49 items, was completed by expert technicians. Consumption of cheese was classified as less than 7 times per week and 7-14 times per week. RESULTS: Higher consumption of cheese was associated with higher C-Reactive Protein (CRP), apolipoprotein A and high density lipoprotein cholesterol (HDL-C) level but not with fasting blood sugar (FBS), total cholesterol, low density lipoprotein cholesterol (LDL-C), triglyceride (TG) and apolipoprotein B. Higher consumption of cheese was positively associated with consumption of liquid and solid oil, grain, pulses, fruit, vegetable, meat and dairy, and negatively associated with Global Dietary Index. After control for other potential confounders the association between cheese intake and metabolic syndrome (OR: 0.81; 96%CI: 0.71-0.94), low HDL-C level (OR: 0.87; 96%CI: 0.79-0.96) and dyslipidemia (OR: 0.88; 96%CI: 0.79-0.98) became negatively significant. CONCLUSION: This study found an inverse association between the frequency of cheese intake and cardiovascular risk factors; however, further prospective studies are required to confirm the present results and to illustrate its mechanisms.
This study was conducted to find sensitive indicator of food intake and specific food group related to cognitive function and to analyze the pathway among factors affecting food intake and cognitive function of the aged. 179 people over 50 years old were investigated and all the data were analyzed by SPSS 10.0 package. Food frequency was more sensitive indicator to show the relationship between food intake and cognitive function of the aged than the numbers of standard amount of food eaten. Consumption of grains and starch, meat, fish, eggs and beans were strongly related to cognitive function of the aged and intake of vegetables and fruits also have relationship with it. Moreover, the more frequent eating the carbohydrate and the protein, the higher the cognitive level of the aged. Age, education period, income, blood pressure, duration after retirement, frequency of physical activity and BMI were correlated with food intake and cognitive function of the aged. Among them, age and frequency of physical activity were most strongly correlated with food intake, and education period with cognitive function of them. This investigation shows that more stable intake of carbohydrate and protein containing foods need to be supplied to low income aged and the importance of physical activity of the aged must be emphasized with food intake for better life of the aged.
Objectives: The purpose of this study was to investigate the food, nutrient intake, and diet quality of postmenopausal women at high risk of osteoporosis (OP) and cardiovascular disease (CVD) compared with those of control subjects. Methods: A total of 1,131 post-menopausal women aged over 45 years, who took the 2010-2011 Korean National Health and Nutrition Examination Survey (KNHANES), were included for analysis. These participants were classified into the following groups: the OP group, with a risk of OP (n=135); the CVD group, with a risk of CVD (n=373); the OP+CVD group, with a risk of OP and CVD concurrently (n=218); and the control group (n=405) according to bone mineral density (BMD) and CVD risk. Anthropometric measurements, blood profiles, dietary intake, and dietary quality indices were measured and compared among the four groups. Results: Waist circumference, total body fat percentage, blood pressure, fasting plasma glucose, total cholesterol, triglyceride, and LDL-cholesterol were higher, and HDL-cholesterol and BMD were lower in the OP+CVD group than in the control group. In the food frequency questionnaire, the OP+CVD group had significantly higher frequencies of grain (except for multi-grain) and lower frequencies of fruit and dairy product. The frequency of consumption of red meat, processed meat, and carbonated beverages was higher in OP+CVD group. In nutrient density analysis, proteins and vitamin $B_2$ levels were significantly lower in the OP+CVD group than in the control group. The nutritional quality index (INQ) values of calcium were in the order of 0.63, 0.58, 0.56, and 0.55 in each group, and it was urgent to improve the dietary intake for calcium in postmenopausal women. In addition, vitamin $B_2$ was inadequately consumed by all groups. Conclusions: These results suggest that it is necessary to increase the intake of vitamin $B_2$ and calcium and decrease the frequency of intake of red meat, processed meat, and carbonated beverages in postmenopausal women with the risk of OP and CVD.
This study aimed to identify the need for dietary management due to weight changes among middle-aged women in the Gwangju area during the COVID-19 pandemic. To achieve this, a survey was conducted of their eating habits, dietary and lifestyle habits, alterations in food intake, and changes in menopausal symptoms. Overall, significant differences were found between dietary and lifestyle habits (p<.01) depending on the frequency of eating out. Specifically, those who eating out two to three times a week exhibited a significant increase in negative habits such as ordering delivery food and consuming instant meals. In terms of food consumption changes, those who eating out two or three times a week displayed a relatively higher increase in the consumption of non-recommended food than those who eating out once a week. Regarding changes in menopausal symptoms, individuals who eating out two to three times a week experienced a greater increase in the severity of menopausal symptoms than those who eating out once a week. In terms of dietary and lifestyle habit changes, it was found that the more frequent the exercise, the greater the overall improvement in dietary and lifestyle habits (p<.001). Moreover, women who did not experience weight gain exhibited positive changes in their dietary and lifestyle habits compared with women who experienced weight gain. The results for food consumption changes revealed that the consumption of non-recommended foods was higher in middle-aged women who experienced weight gain, particularly the consumption of meat (p<.001) and noodles (p<.05).
It has been reported frequently that clinical features of gallstone disease in Korean were similarly changing to those of Occidentals. This changing was thought to be due to Westernized lifestyle and dietary patterns in Korean. The purpose of this study was to investigate the nutritional risk factor among patients with gallstone. The subjects of this study were 90 gallstone group with biliary stone as confirmed by cholecystectomy and 111 control group with no biliary stone as confirmed by ultrasonography adjusted according to age and gender. Anthropometric indices and biomarkers were measured and dietary habit as well as nutrient consumption pattern were investigated using a structured checklist of health-related eating behavior and a semi-quantitative food frequency questionnaire. The mean age was higher in GG (gallbladder stone patient group) than CG (control group). The average BMI and WHR (waisthip ratio) tended to be higher than those in CG. WC (waist circumference) and WHR of women in GG were significantly higher than in CG. GG had lower levels in TC (p < 0.01), LDL-C (p < 0.05), and HDL-C (p < 0.05), but higher FBG levels (p < 0.001). GG tended to be associated with lower physical activity and more frequent consumption of meat, meats with high fat and high sugar content food. The consumption levels of fiber (p < 0.05), vitamin C (p < 0.05), calcium (p < 0.01) in GG were significantly lower than in CG. These findings showed that the association with incidence of gallbladder stone and anthrophometric indices and dietary consumption patterns. Further study may be necessary to elucidate the dietary risk factors in the changing patterns of gallstone disease.
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