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.
OBJECTIVES This study examined the milk intake patterns with lactose and milk fat in Korean male adults using the following variables: milk intake level, awareness of lactose, and milk fat, health problems, and necessity of milk intake. In addition, the factors affecting milk intake were analyzed by multiple regression analysis. METHODS The subjects were 532 males aged 20 years or older among the nationwide milk purchasing group. The subjects were 223 (41.9%) in the 20–29 year age group, 188 (35.3%) in the 30–49 year age group and 121(22.7%) in the over 50 year age group. The survey was conducted using ANOVA and multiple comparative analysis to examine the differences in age and multiple regression analysis was performed to investigate the factors affecting the intake of milk. RESULTS The intake of milk in the subjects was 538.14 ± 494.23 ml per week. There were statistically significant differences in the subjects' age according to processed milk, low fat, nonfat milk, cheese, and ice cream. The perception of milk and lactose and milk fat was recognized as a good food for skeletal health when milk was consumed. Among the milk nutrients, lactose was highly recognized at the age of 20–29, and milk fat was recognized in those over 50 years. In addition to lactose and milk fat, calcium was the most highly recognized among the milk nutrients. Health problems associated with milk were skeletal health, obesity, and lactose intolerance. The perception of lactose intolerance was related to lactose intolerance and fatness, and the dietary behavior was unaffected. CONCLUSIONS This study examined the milk intake patterns of adult Korean males. Many variables were found to be related to the intake of milk. In this study, the milk intake was high when there was no problem with the perception and dietary behaviors of milk nutrition (lactose and milk fat). This study focused on lactose and milk fat, which are major nutrients in milk, and it is a new perspective study among milk-related research.
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The purpose of this study was to investigate food intake, dietary diversity and dietary pattern during the summer in middle aged and older adults living in Gugoksundam (Gurye, Goksung, Sunchang and Damyang counties), Jeonla Province located in southern part of Korea and known as one of the representative Korean longevity areas. Food intake and dietary diversity were assessed by using the data from 2 day-24 hour recall of 1,051 subjects (394 males and 711 females) aged 45 years and older (45-93 years in male, 45-105 years in female). The average ages of males and females were 70.7 years and 71.1 years, respectively. Average total daily food intake was significantly decreased with aging in both genders, and the average animal food intake ratio to total food intake was ranged 10~14% in 3 different age groups, 45~64 years, 65~74 years and 75 years and older. The contribution of each food group, in weight, to total food intake showed the descending order of grains, fruits, vegetables and alcohols in males, and grains, fruits, potatoes and meats in females. On daily intake amount of each food item, rice, watermelon, soju, kimchi, and potato were ranked on top 5 in descending order in males, and rice, watermelon, potato, kimchi and ylmukimchi in females. On intake frequency, rice, kimchi, onion, green pepper and potato were ranked on top 5 in descending order in both genders. Dietary variety score (DVS) and dietary diversity score (DDS) for the assessment of dietary diversity and balance were significantly decreased with aging in both genders. In food group intake pattern (DMGFV), 01101 type without consumption of dairy and fruits was the most prevalent, and only 3.6% of male and 3.9% of female subjects showed 11111 type, consumed all the 5 food groups a day. Dietary pattern of subjects was analyzed by cluster analysis with 18 food groups intake. Overall dietary pattern was classified into two clusters, one was more desirable and the other was less desirable. The percentage of subjects with more desirable dietary pattern was about 15% in male and 32% in female. In conclusion, most of our subjects living in Gugoksundam area were taking very simple diet with low amount of dairy products and fruits. These results indicate that nutrition intervention and education for older people living in rural areas should be focused on various food intake including dairy products and fruits.
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.
In order to investigate the ramyeon intake patterns, food value recognition, and their effects on blood pressure and blood lipid levels, a total of 385 male students aged 13-15 years living in rural area were sampled randomly, and they were surveyed using questionnaire. Blood pressure and fasting serum lipids levels of 123 subjects selected among the total were determined. Of the total subjects 80.3% either liked or liked very much ramyeon and 42.2% of them were eating ramyeon from 1 to 2 times a week,21.1% 5-6 times a week, while 11.7% more than once a day, and 13.1% less than once a month. They took ramyeon from one (56.8%) to two (25.4%) packs each time. Two-third of subjects consumed entire ramyeon soup or more than half of it. Mostly they added egg or onion to ramyeon and took along with kimchi, cooked rice, danmuji, or dried laver. The food value recognition score about ramyeon was 41.33 out of 100 full grade. Comparing to underweight or normal weight subjects, overweight students tended to take ramyeon more frequently when playing with friends and tended to consume less soup of ramyeon. There was a significant negative correlation between ramyeon intake frequencies and HDL-cholesterol levels (r=-.223 p < .05). Moreover, among the normal body weight students (n=72) adjusted with relative weight, ramyeon intake frequencies showed not only a significant negative correlation with HDL-cholesterol level (r=-.244 p < .05), but also significant positive correlations with atherogenic index (r: .249 p < .05) and systolic blood pressure (r: .259 p < .05) . These results suggested that frequent intake of ramyeon with limited sidedishes as a whole meal might have negative influences on blood pressure and serum lipid levels. Nutrition education is needed to have correct food value recognition and proper consumption of ramyeon along with the balanced diet.
The objective of this study was to estimate changes on the flood and nutrient intake patterns of men over thirty years old in Jeon-Ju area. The first survey was conducted from December in 1991 to January in 1992, tile second one from January to February in 1994 and the third one from July to August in 1997. The nutrition survey using 24-hour recall method was executed to 303 subjects : 89, 82, 132 in 1991, 1994 and 1997, respectively. Results of the study are as follows : Kimchi, rice, garlic and onions were the most frequently eaten food items. Total daily intakes of foods were 85 : 15, 81 : 19 and 81 : 19 in 1991, 1994 and 1997, respectively. The average numbers of foods per person were 15.7, 20.1 and 21.9 daily in 1991, 1994 and 1997, respectively and tends to increase significantly(p<0.05). The minimum numbers of foods per person were 4, 7 and 9 and the maximum numbers of foods per person were 27, 35 and 39 in 1991, 1994 and 1997, respectively. KDDS(Korean's Dietary Diversity Score) is determined by how many among the five food groups (cereals, vegetables, meats, milks, oils groups)were consumed per day. Most subjects earned the KDDS "3" ; 61, 46 and 42% in 1991, 1994 and 1997, respectively. Average daily energy intakes wee 1,62 kcal(72% of RDA), 2,063 kcal(89% of RDA) and 1,818 kcal (79% of RDA) in 1991, 1994 and 1997, respectively. Energy intake rates of cereals : total energy intake were 65, 59, and 60% in 1991, 1994 and 1997, respectively, which were decreasing. Protein intakes were 58g(72% of RDA), 79g(107% of RDA) and 71g(97% of RDA), respectively and animal protein comprised 46, 53, and 59%, respectively ; which were increased. Fat intakes were 12g, 20g and 20g, respectively and animal protein comprised 38, 46, and 48% ; which were increased. Fat intakes were 12g, 20g and 20g, respectively, of which animal fat comprised 46, 53, and 59%, respectively ; which were increased, too. Malnourished (under 75% of RDA) rates were respectively 64, 34, and 47% in terms of energy ; 64, 31 and 33% in protein ; 67, 51, and 61% in calcium ; 53, 26, and 18% in iron ; 85, 74 and 84% in Vitamin A. Super-nourished(above 125% of RDA) rates were respectively 1, 13, and 3% in energy ; 1, 29, and 21% in protein ; 5, 18, and 7% in calcium ; 16, 31, and 7% in iron ; 16, 31, and 7% in Vitamin A, 42, 76, and 62% in Vitamin C. The percentages of calories from protein : fat : carbohydrate were 14 : 12 : 74, 15 : 16 : 69 and 16 : 17 : 67 in 1991, 1994 and 1997, respectively. KDDS(number of five food groups per day), Meal Balance(number of five food groups per meal), DVS(average numbers of foods per person), amount of foods correlated positively with all the nutrient intakes(p<0.05). KDDS was positively correlated with energy, protein, fat, calcium, thiamin, riboflavin and niacin(p<0.05)