• Journal of the Korean Dietetic Association
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• v.26 no.4
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• pp.269-277
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• 2020

The perception volume, intake volume, and satiety rate of rice, soup, and side dishes using tableware and food trays were analyzed. Rice, beef, soup, and side dishes in tableware (1^st week) and the same menu in food trays (2^nd week) were served to twenty-nine female college students over two consecutive weeks (BMI 22.1 kg/㎡, Age 22.9 yr). The results showed that the perceived volume of soup served in tableware was significantly higher than when served in a food tray. On the other hand, except for the perception volume of soup (tableware: 174.80±19.40 g, food tray: 136.14±12.77 g, P<0.05), there was no significant difference in the food perception volume and food intake volume using tableware and food trays between the two groups. The satiety rate of the food tray group (6.68) was significantly higher than that of the tableware group (7.42) after one hour (P<0.05). However, except after one hour, the two groups' satiety rate showed a similar pattern. In most of the comparisons, the results showed no difference between table ware and food trays. Besides, the use of food trays has advantages in terms of easy to manage and convenience. Therefore, food trays might be a better option instead of a tableware.

• Journal of the Korea Society of Computer and Information
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• v.22 no.5
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• pp.57-63
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• 2017

In the paper, we propose a new reliable technique for measuring food intake based on image automatically without user intervention. First, food and bowl image before and after meal is obtained by user. The food and the bowl are divided into each region by the K-means clustering, Otsu algorithm, Morphology, etc. And the volume of food is measured by a proportional expression based on the information of the container such as it's entrance diameter, depth, and bottom diameter. Finally, our method calculates the volume of the consumed food by the difference between before and after meal. The proposed technique has higher accuracy than existing method for measuring food intake automatically. The experiment result shows that the average error rate is up to 7% for three types of containers. Computer simulation results indicate that the proposed algorithm is a convenient and accurate method of measuring the food intake.

• Journal of Nutrition and Health
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• v.33 no.6
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• pp.647-659
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• 2000

o assess the food intake and the sodium and potassium intakes and urinary excretion of preschool children in Pusan and to evaluate the relationship among variables dietary behaviors food and nutrient intake and 24hr urinary sodium and potassium excretion were measured with 97 subjects. The mean sodium and potassium intakes were 1890. 1mg(82,2meq) and 1479.7mg(37.8meq) respectively. The mean potassium intake(p<0.05) and density(p<0.01) were significantly low at the group who had food intake pattern absen of fruit and daily groups. The mean urinary sodium and potassium excretion were 735.3mg(32.0meq) and 418.7mg(10.7meq) respectively. The mean sodium intake(p<0.01) and urinary excretion were 735.3mg(32.0meq) and 418.7mg(10.7meq) respectively. The mean sodium intake(p<0.01) and urinary excretion (p<0.001, p<0.001) energy intake(p<0.01) sodium intake and density (p<0.001, p<0.05) the food number and intake frequency of vegetable group consumed (p<0.01, p<0.01) dietary frequency score(p<0.05) and negative correlations with the food number and frequency of dairy group consumed (p<0.05 p<0.05) The urinary potassium excretion showed positive correlations with height and weight(p<0.05, p<0.01) urine volume and urinary creatinie excretion(p<0.01 p<0.001) potassium intake(p<0.05) food number and intake frequency of dairy group consumed (p<0.05, p<0.001). Based on the results urinary sodium excretion was related to age sodium intake and food intake of vegetable and dairy group and urinary potassium excretion was related to potassium intake and food intake of dairy group. So nutritional education is needed in order to decrease sodium intake especially from food intake of vegetable group when preschool children have less food intake of diary group,.

• Journal of the Korean Dietetic Association
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• v.19 no.2
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• pp.103-111
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• 2013

In this study, we examined chewing frequency, eating rates, and food consumption volume according to the body mass index of male and female college students. Twenty-five male college students were divided into a normal weight male group (<23 body mass index, n=14) and an obese male group (${\geq}23$ body mass index, n=11). Twenty-five female college students were divided into a normal weight female group (<23 body mass index, n=21) and an obese female group (${\geq}23$ body mass index, n=4). Subjects were provided with abundant fried rice and allowed to consume it at their own pace. Chewing frequency, total mealtime, rate of eating, consumption volume, calorie intake, and the amount of one bite were measured. There were no significant differences in chewing frequency, total mealtime, rate of eating, consumption volume, calorie intake, and the amount of one bite between the normal and obese male groups. There were also no significant differences in chewing frequency, consumption volume, calorie intake, and the amount of one bite between the normal and obese female groups. However, the obese female group had a significantly shorter mealtime and significantly higher eating rate compared with the normal group. Thus, our study suggests that females who eat a meal for a longer time may reduce their food intake, consequently inducing body weight loss.

• Preventive Nutrition and Food Science
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• v.5 no.4
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• pp.205-212
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• 2000

The relation of food and supplemental intake of iron, vitamin E and ascorbic acid and other lifestyle variables to packed cell volume (PCV) and serum vitamin levels was studied in urban and rural (71% Amish) communities. Subjects were interviewed (24-h dietary recalls) on three occasions over 18-months, and blood samples were taken (maximum observations = 442). Mean PCV was lower in rural males (43.3) than in urban males (45.4) despite higher man food iron intake (18.7 and 14.4 mg/day, respectively). Mean meal iron availability was higher at lunch and lower at breakfast and dinner for rural than for urban subjects. Smoking was the number one variable in males and females explaining variance in PCV. Supplemental vitamin E and ascorbate intakes explained the most variance in serum vitamin E and ascorbate levels, respectively. Serum vitamin E was also associated with supplemental ascorbate intake (r=0.29). Serum ascorbate was also associated with food ascorbate intake (r=0.28) and body weight (r=-0.24).

• Nutrition Research and Practice
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• v.5 no.3
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• pp.236-245
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• 2011

This study investigated the correlation between consumption of sugar intake by fifth grade students in primary schools and development of Attention Deficit Hyperactivity Disorder (ADHD). A total of 107 students participated, and eight boys and one girl (8.4% of the total) categorized as high risk for ADHD according to diagnostic criteria. There were significant differences in the occupations and drinking habits of the respondents' fathers between the normal group and risk group. In a comparison of students' nutrition intake status with daily nutrition intake standards for Koreans, students consumed twice as much protein as the recommended level, whereas their calcium intake was only 60% of the recommended DRI (dietary reference intake). Regarding intake volume of vitamin C, the normal group posted 143.9% of the recommended DRI, whereas the risk group showed only 65.5% of the recommended DRI. In terms of simple sugar intake from snacks, students in the normal group consumed 58.4 g while the risk group consumed 50.2 g. These levels constituted 12.5% of their total daily volume of sugar intake from snacks, which is higher than the 10% standard recommended by the WHO. In conclusion, children who consumed less sugar from fruit snacks or whose vitamin C intake was less than RI was at increased risks for ADHD (P < 0.05). However, no significant association was observed between total volume of simple sugar intake from snacks and ADHD development.

• Journal of Nutrition and Health
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• v.36 no.9
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• pp.950-959
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• 2003

To assess zinc status by dietary intake and urinary excretion of preschool children in Busan and to evaluate the relationship of intakes of food and nutrient with urinary zinc excretion, zinc food frequencies of 40 common foods affecting intakes of zinc by food fequency method, nutrient intake by 24hr recall and 24hr urinary zinc excretion were measured with 97 preschool children. The mean zinc intake was 4.29 mg and 43.0% of RDA. The mean zinc intake per 1,000 kcal was 3.09 mg.97.9％ of subjects had zinc intake less than 75％ of RDA. Grains food group was the primary source of zinc intake and supplied 38.9% of the total daily zinc intake. Altogether, plant food products supplied 49.7% of zinc intake. The mean urinary zinc excretion and zinc excretion per gram of creatinine were 0.19 mg and 1.00 mg respectively. The urinary zinc excretion showed positive significant correlations with height and weight (p < 0.05, p < 0.05) , urine volume and urinary creatinine excretion (p < 0.05, p < 0.001) , urinary zinc excretion per creatinine (p < 0.001) , urinary zinc excretion per weight (p < 0.001) , intakes of energy and carbohydrate (p < 0.05, p < 0.01) and usual intake of zinc from eggs food group (p < 0.05) . In conclusion, these results show that the zinc intake of preschool children is low and that sources of dietary zinc are mainly plant foods, suggesting low bioavailability. So nutritional education is needed in order to inc-rease usual intake of animal food group. Interpretation of urinary zinc excretion data is complicated by current uncertainty about "normal" zinc level at this age group. Further studies are needed to obtain extensive data on urinary zinc excretion for this age group.age group.

• Korean Journal of Community Nutrition
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• v.12 no.5
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• pp.639-645
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• 2007

Using the diet rice bowl, this study examined whether visual cues related to portion size can influence intake volume without altering satiation. 24 subjects ate lunch and subsequent dinner meal in the lab once a week for 2 weeks. Each week at noon, they were served one of two different sizes of a rice (150 g of rice by the diet rice bowl and 210 g of rice by the general rice bowl) but recognized the same volume of which they could eat as much as they wanted of side dishes. Subjects returned to the lab five hours later for a standard dinner, which was consumed ad libitum. Results showed that the subjects who were eating from the diet rice bowl ate less rice (222.4 Kcal vs 306.5 Kcal, p < 0.001) and total energy intake (412.5 Kcal vs 499.2 Kcal, p < 0.001) than those eating from a general rice bowl at lunch. However, despite consuming 21% less energy intake at lunch, the rates of satiety were not significantly different after eating from the diet rice bowl and from the general diet bowl. And there were no significant difference in rice intake and energy intake at dinner between the diet rice bowl and the general rice bowl. These results suggest decreasing the portion size by the diet rice bowl with biased visual cues leads to decreased rice intake and energy intake without altering the satiation. This is, the decreased amount of rice in a diet rice bowl may implicitly suggest what might be construed as an appropriate amount to consume and eventually it suggests smaller consumption norms.

• Journal of Nutrition and Health
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• v.57 no.3
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• pp.275-281
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• 2024

Purpose: Various forms of distraction can have different effects on food intake. Distraction can draw attention away from the food being consumed and inhibit monitoring of food intake This study examined the effects of different levels of distraction on eating behaviors. Methods: The study was conducted using a repeated-measures design. The participants (10 males, 13 females) were served test meals (curry rice, 800 g) with the same volume at lunch for 4 weeks. The eating behaviors were analyzed during 4 distraction sessions: first session (without distraction), second session (audio distraction, radio), third session (audiovisual distraction, television), and fourth session (audiovisual distraction and hand-use, smartphone). The satiety ratings were measured using a 100 mm visual analog scale. Results: The participants consumed more food during the fourth session than during other sessions. In addition, the mealtime duration in the fourth session was longer than that in the other sessions (audiovisual distraction and hand-use, 13.74 minutes vs. without distraction, 10.36 minutes; audio distraction, 8.31 minutes; and audiovisual distraction, 9.61 minutes; p < 0.05). As the satiety ratings obtained before and after consumption of the test meals in each distraction session, participants felt significantly more satiated 30 minutes after consuming the test meal in the first session than they did in the other distraction sessions (without distraction, 84.23 mm vs. audio distraction, 76.07 mm; audiovisual distraction, 68.93 mm; and audiovisual distraction and hand-use, 74.70 mm; p < 0.05). Conclusion: Different levels of distraction can have different effects on eating behaviors and when distractions become diverse and selectable, food intake may be affected by distraction.

• Journal of Nutrition and Health
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• v.50 no.6
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• pp.585-594
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• 2017

Purpose: Food intake of COPD patients decreases because of appetite loss, depression, and breathing problems while eating, which increase the likelihood of patients becoming malnourished. This study investigated the nutrient intake and dietary quality of people with and without COPD in Korea. Methods: There were 2,160 adults aged 50 and over who participated in the $5{\sim}6^{th}$ Korea National Health and Nutrition Examination Survey. The subjects were divided into the COPD group and non-COPD group according to the rate of forced expiratory volume at 1 second (FEV1) against forced vital capacity (FVC). Consumption of food and nutrients were calculated based on the nutrition examination survey. Statistical analyses were conducted using SPSS 19.0. Results: Among individuals in their 50s, intake of vitamin $B_1$ in the COPD group was significantly less than the NCOPD group, while intake of sodium in the COPD group was significantly greater than the NCOPD group. Among individuals in their 60s, the energy intake of the COPD group was significantly less than that of the NCOPD group. The COPD group showed significantly less intake of vitamin $B_1$ and vitamin C, but greater intake of sodium than the NCOPD group. In the group aged 70 and over, The COPD group had significantly less intake of vitamin $B_1$ than the NCOPD group and showed lower nutrient adequacy ratio values in protein, vitamin $B_1$, vitamin $B_2$, and iron than the NCOPD group. Conclusion: The COPD group consumed less energy and certain nutrients, and their dietary quality was poor compared to the NCOPD group. Thus, more detailed research is required to understand the concrete relationship between COPD and malnutrition.