Several studies have been conducted on dietary patterns based on carbohydrate nutrition in Asian populations. We examined the cross-sectional associations in dietary patterns based on carbohydrate nutrition, including the glycemic index (GI) with dyslipidemia and diabetes among the Korean adult population. We analyzed 9,725 subjects (3,795 men and 5,930 women, ${\geq}$ 20 years) from the Fourth Korea National Health and Nutrition Examination Survey. Dietary information was collected using single 24-hour recall. Reduced rank regression was used to derive dietary patterns from 22 food groups as predictor variables and four dietary factors related to the quantity and quality of carbohydrates as response variables. Two dietary patterns were identified: 1) the balanced pattern was characterized by high intake of various kinds of foods including white rice, and 2) the rice-oriented pattern was characterized by a high intake of white rice but low intake of vegetables, fruits, meat, and dairy products. Both patterns had considerable amounts of total carbohydrate, but GI values differed. The rice-oriented pattern was positively associated with hypertriglyceridemia in men and low high density lipoprotein-cholesterol in both men and women. The balanced pattern had no overall significant association with the prevalence of dyslipidemia or diabetes, however, men with energy intake above the median showed a reduced prevalence of diabetes across quintiles of balanced pattern scores. The results show that dietary patterns based on carbohydrate nutrition are associated with prevalence of dyslipidemia and diabetes in the Korean adult population.
The purpose of this study was to explore dietary patterns and compare dietary patterns using cluster and factor analysis in Korean adults. This study analyzed data of 4,182 adult populations who aged 30 and more and had all of socio-demographic, anthropometric, and dietary data from 2005 Korean Health and Nutrition Examination Survey. Socio-demographic data was assessed by questionnaire and dietary data from 24-hour recall method was used. For cluster analysis, the percent of energy intake from each food group was used and 4 patterns were identified: "traditional", "bread, fruit & vegetable, milk", "noodle & egg", and "meat, fish, alcohol". The "traditional" pattern group was more likely to be old, less educated, living in a rural area and had higher percentage of energy intake from carbohydrates than other pattern groups. "Meat, fish, alcohol" group was more likely to be male and higher percentage of energy intake from fat. For factor analysis, mean amount of each food group was used and also 4 patterns were identified; "traditional", "modified", "bread, fruit, milk", and "noodle, egg, mushroom". People who showed higher factor score of "traditional" pattern were more likely to be elderly, less educated, and living in a rural area and higher proportion of energy intake from carbohydrates. In conclusion, three dietary patterns defined by cluster and factor analysis separately were similar and all dietary patterns were affected by socio-demographic factors and nutrient profile.
Objectives: This study examines the status of iodine intake and compares the characteristics (region and thyroid disease prevalence) according to the iodine-sourced food intake pattern in Chinese adults. Methods: An online survey was conducted by enrolling 437 Chinese adults aged 18-65 years, living in three regions with different iodine nutritional statuses: Sichuan, Chongqing, and Guangdong. Results: The prevalence of thyroid diseases in Sichuan, Chongqing, and Guangdong were 12.5%, 8.5%, and 2.8%, respectively. Conversely, the proportion of people who received thyroid disease-related examinations was a mere 37.5%. Among the subjects who underwent thyroid examination, the prevalence of thyroid disease in the three regions was 32.2%, 21.8%, and 8.0%, respectively. No differences were obtained in the total iodine intake by region, but the type of iodine source foods differed. Regardless of the region, the highest iodine content was obtained from seaweed. However, the iodine content from iodized salt and other foods differed significantly by region. Factor analysis revealed three food intake patterns according to the iodine food source. The study further determined regional differences and differences in the prevalence of thyroid disease according to food intake patterns. Conclusions: High salt intake can also increase iodine intake, which is thought to have an effect on the occurrence of iodine-excess thyroid disease. Hence, efforts focused on improving salty eating habits need to be implemented.
A total of fourteen primiparous sows' (Landrace × Yorkshire) were used to determine the effects of two patterns of feed intake during early gestation on the growth performance and litter characteristics in sows. Daily feed intake from day 5 to 112 of gestation for parity 1 sows was 2.2 kg·d-1 of feed offered with the exception of seven sows who were offered 3.2 kg·d-1 from day 90 to 108 of gestation (TRT A) or 2.5 kg·d-1 (d 5 - 60) and 2 kg·d-1 (d 60 - 90) of feed with the exception of seven sows who were offered 3.5 kg·d-1 from day 90 to 108 of gestation (TRT B). The different feed intake patterns in early gestation did not have a significant effect on body weight, backfat thickness, or body condition score during, before, and after farrowing (p > 0.05) respectively. However, initial to d 60, backfat thickness difference was significantly improved by TRT B patterns of feed intake during early gestation. In addition, during the overall experiment, average daily feed intake was significantly enhanced for sows in the dietary TRT B group feed intake pattern (p = 0.0001). The fecal score during day 90 was significantly reduced (p = 0.0132) in sows fed with TRT B feed intake pattern. Litter size, litter survival rate, and initial weight showed no significant differences with different feed efficiency of gestating sows. In summary, the results indicate that the 2.5 kg·d-1 gestation intake pattern allowed gestating sows to obtain optimal performance.
This study was conducted to identify the major dietary patterns of Korean adult men and to examine the relationship between subjective stress perception and these dietary patterns using data from the 2014~2016 Korean National Health and Nutrition Examination Survey (KNHANES). Of the 23,080 total subjects, adult men between the ages of 19 and 64 who did not take the questionnaire or answer the questions relating to depression, and cases where the daily energy intake was less than 500 kcal or more than 5,000 kcal in the Food Frequency Questionnaire were excluded. This left a total of 3,464 subjects who were included in the final analysis. We performed a factor analysis based on the yearly mean intake frequency of 41 food groups to identify the major dietary patterns. Three major dietary patterns were identified (factor loading >0.3), including the 'Healthy pattern', 'Processed meat pattern', and the 'Alcohol pattern'. The 'Healthy pattern' was characterized by higher intake of beans, tofu, vegetable, fish, and fruits. The 'Processed meat pattern' was characterized by high consumption of processed meats and instant foods. The 'Alcohol pattern' was characterized by a higher intake of alcohol. As a response to the subject's subjective perception of stress, the most answered 'a little' according to age, marital status, occupation, income, residential area, smoking status, drinking status, and exercise status. People whose diets followed the 'Processed meat' and 'Alcohol' patterns had significantly higher scores on subjective stress perception compared to people following the 'Healthy pattern'. To manage subjective stress, it is more effective to maintain health by relieving stress through a healthy method that combines healthy eating and exercise rather than following an unhealthy diet as characterized by the 'processed meat' and 'alcohol' dietary patterns.
Underreporting patterns by the level of obesity have not been fully assessed yet. The purpose of this study was to examine the differential underreporting patterns on cardiovascular risk factor, macronutrient, and food group intakes by the level of Body Mass Index (BMI). We analyzed cross-sectional baseline nutritional survey data from the population-based longitudinal study, the Healthy Women Study (HWS) cohort. Study subjects included 538 healthy premenopausal women participating in the HWS. Nutrient and food group intakes were assessed by the one-day 24-hour dietary recall and a semi-quantitative food frequency questionnaire, respectively. The ratio of reported energy intake (EI) to estimated basal metabolic rate (BMR) was used as a measure of relative energy reporting status and categorized into tertiles. Overweight group ($BMI{\geq}25kg/m^2$) had a higher ratio of EI to BMR (EI/BMR) than normal weight group ($BMI<25kg/m^2$). Normal weight and overweight groups showed similar patterns in cardiovascular risk factors, nutrient intake, and food group intake by the EI/BMR. Fat and saturated fat intakes as a nutrient density were positively associated with the EI/BMR. Proportion of women who reported higher consumption (${\geq}4\;times/wk$) of sugar/candy, cream and red meat groups was greater in higher tertiles of the EI/BMR in both BMI groups. Our findings suggest similar patterns of underreporting of cardiovascular risk factors, and macronutrient and food group intakes in both normal and overweight women.
Shallow water withdrawal systems have been replaced with a selected withdrawal system to keep stable raw water quality in spite of occurrence of algae and muddy inflow. Before reconstruction of the water intake tower in Yongdam reservoir supplying water to Gosan water treatment facility, we have predicted flow patterns of inflowing water into the water intake tower for various withdrawal conditions. It has been predicted that the water in the withdrawal layer is significantly inflowed from the front with fast velocity into the water intake tower irrespective of withdrawal depth, while the water away from the withdrawal layer is withdrawed a little from the side with slow velocity.
The purpose of this study was to identify the differences in dietary consumption patterns according to the exercise level of Korean adults. The study subjects were the 7,370 Koreans aged 20 years and older of the 1998 Korean Health and Nutrition Survey. The dietary assessment was conducted by means of the 24 hour recall method. Data for individual exercise behavior were collected by interviews as part of the National Health Behavior Survey. Following the analysis of variances the Duncan's Multiple Range Test was used to test the differences in food and nutrient intakes among groups with different levels of exercise. Current exercise practices were reported by 22% of the male subjects and 15% of the female subjects. Unlike observations from the American and European studies, a greater amount of meat intake was observed more frequently among high exercises group than among middle and low exercisers in the case of the male subjects. This was reflected in the increasing levels of protein and fat intake in proportion to the exercise levels. However, the food and nutrient intake patterns of female exercisers were quite different from those of the males. The least intake of fatty foods was observed among the high exercisers. Energy intake from fat was the lowest among the high exercisers. These results may imply that the motivation to exercise was quite different between male and female Koreans. This dietary pattern may have a risk of undernution. Summerizing the results, whatever the motivation of the exercise, the Korean exercisers of both sexes had unhealthy dietary pattern. Therefore, nutritional education should be conducted to encourage the eating of a balanced diet along with exercise, among Koreans of both sexes, in order to promote a healthy lifestyle.
To explore the relationship between weight status and food intake pattern, the Nutrition Survey results of the 2001 National Health and Nutrition Survey were analyzed. Dietary intake data of Korean adults aged 20 to 64. years who participated in the 2001 National Health and Nutrition Survey, was used along with their demographic data. Subjects were classified into 4 groups based on the BMI value of subjects: underweight, normal, overweight and obese. For male adults, obese subjects had significantly higher mean intake of energy, protein, carbohydrates, and fat than normal subjects. In addition, obese male adults consumed more animal foods, especially more meats, than normal subjects. However, females obese subjects did not show higher intake of energy or fat. Although obese male adults showed higher energy intake, calcium and iron intake per 1000 kcal was lower than normal adults. Average calcium intake in females was low; about 70% of RDA regardless of obesity level. In addition, riboflavin and Vitamin A intake was lower in overweight and obese female than in normal females. Percentage of subjects with low fruit and vegetable intake (< 400 g per day) was also high in female subjects. These results showed that food and nutrient intake patterns of obese population were different between male and female adults. These dietary intake patterns need to be considered in developing and implementing nutrition policy and intervention programs to prevent and control obesity. Moreover, the National Survey and monitoring system should be developed for continuous and effective investigation on the relationship between obesity and dietary intake.
The purpose of this study was to examine changes in energy and macronutrient intakes during the premenstrual(days -10-1) and postmenstrual(days 5-14) phases. Thirty-two college female students recorded their food consumption and dietary patterns over 5 weeks from September 8 to October 12, 1997. Mean daily energy and macronutrient intakes and the percentage of energy intake from protein and carbohydrate were relatively consistent over the two menstrual cycle phases, but the energy intake from fat increased 1%(P<0.05)during the postmenstrual phase. Two different dietary patterns were identified by the shifts in energy intake between postmenstrual and premenstrual phases. Seventy five percent of subjects revealed a consistent pattern with the results of previous studies investigating food intake over the menstrual cycle, in which the premenstrual phase is associated with an increment in energy, carbohydrate, and protein intake. In contrast, energy, protein, and fat intakes increased during the postmenstrual phase in 25% of the subjects. We conclude that cyclical fluctuations in energy and macronutrient intakes occur in both postmenstrual and premenstrual dietary pattern groups across the two menstrual phased with the opposite directions.
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