Comparative Analysis of the Intake Volume, Perception Volume, and Satiety Rate of an Augmented Rice Bowl with an Elevated Bottom

This study examined the impact of perceived volume on satiety using 400 g kimchi fried rice in a normal rice bowl (Normal-400), 300 g kimchi fried rice in an augmented rice bowl with an elevated bottom (Illusion-300 and 300 g kimchi fried rice in a normal rice bowl (Normal-300). Thirty-six healthy women took part in this study once a week for three weeks. The Normal-400 (1st week), Illusion-300 (2nd week), and Normal-300 (3rd week) bowls were used to served kimchi fried rice to the same participants over three consecutive weeks. After each lunch, the consumption volume of fried rice, perception volume, and satiety rate were measured. The consumption volume of the fried rice was 313.8 g with the Normal-400, 248.9 g with the Illusion-300 and 240.2 g with the Normal-300. The perceived volume on an estimated five-point scale was 4.0 with the Normal-400, 4.1 with the Illusion-300 and 2.4 with the Normal-300. We compared the post-meal satiety of perceptually equal but quantitatively different amounts of food served in two different bowls (Normal-400 vs Illusion-300) and found that the participants felt equally full with both bowls despite having consumed significantly more food from the Normal-400. We also compared the post-meal satiety of perceptually different but quantitatively equal amounts of food in two different bowls (Illusion-300 vs Normal-300) and discovered that the subjects felt significantly fuller with the Illusion-300 although similar amounts of food were consumed from the two bowls. These two comparisons showed that visual cues play a critical role in determining satiety and that perceived volume is perhaps more important than the actual volume of consumed food, while in determining the level of fullness.

Comparative Analysis of Perception Volume, Intake Volume, and Satiety Rate of Rice, Soup and Side Dishes Using Tableware and Food Tray

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 (1st week) and the same menu in food trays (2nd 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.

Comparison and Analysis of Dieting Practices Using Big Data from 2010 and 2015 / 대한지역사회영양학회지

OBJECTIVES: The purpose of this study was to compare and analyse dieting practices and tendencies in 2010 and 2015 using big data. METHODS: Keywords related to diet were collected from the portal site Naver from January 1, 2010 until December 31, 2010 for 2010 data and from January 1, 2015 until December 31, 2015 for 2015 data. Collected data were analyzed by simple frequency analysis, N-gram analysis, keyword network analysis, and seasonality analysis. RESULTS: The results show that exercise had the highest frequency in simple frequency analysis in both years. However, weight reduction in 2010 and diet menu in 2015 appeared most frequently in N-gram analysis. In addition, keyword network analysis was categorized into three groups in 2010 (diet group, exercise group, and commercial weight control group) and four groups in 2015 (diet group, exercise group, commercial program for weight control group, and commercial food for weight control group). Analysis of seasonality showed that subjects' interests in diets increased steadily from February to July, although subjects were most interested in diets in July in both years. CONCLUSIONS: In this study, the number of data in 2015 steadily increased compared with 2010, and diet grouping could be further subdivided. In addition, it can be confirmed that a similar pattern appeared over a one-year cycle in 2010 and 2015. Therefore, dietary method is reflected in society, and it changes according to trends.

Comparison and Analysis of Dieting Practices Using Big Data from 2010 and 2015 / 대한지역사회영양학회지

OBJECTIVES: The purpose of this study was to compare and analyse dieting practices and tendencies in 2010 and 2015 using big data. METHODS: Keywords related to diet were collected from the portal site Naver from January 1, 2010 until December 31, 2010 for 2010 data and from January 1, 2015 until December 31, 2015 for 2015 data. Collected data were analyzed by simple frequency analysis, N-gram analysis, keyword network analysis, and seasonality analysis. RESULTS: The results show that exercise had the highest frequency in simple frequency analysis in both years. However, weight reduction in 2010 and diet menu in 2015 appeared most frequently in N-gram analysis. In addition, keyword network analysis was categorized into three groups in 2010 (diet group, exercise group, and commercial weight control group) and four groups in 2015 (diet group, exercise group, commercial program for weight control group, and commercial food for weight control group). Analysis of seasonality showed that subjects' interests in diets increased steadily from February to July, although subjects were most interested in diets in July in both years. CONCLUSIONS: In this study, the number of data in 2015 steadily increased compared with 2010, and diet grouping could be further subdivided. In addition, it can be confirmed that a similar pattern appeared over a one-year cycle in 2010 and 2015. Therefore, dietary method is reflected in society, and it changes according to trends.

Comparison of the Center for Children's Foodservice Management in 2012, 2014, and 2016 Using Big Data and Opinion Mining

This study compared the Center for Children's Foodservice Management in 2012, 2014, and 2016 using big data and opinion mining. The data on the Center for Children's Foodservice Management were collected from the portal site, Naver, from January 1 to December 31 in 2012, 2014, & 2016 and analyzed by keyword frequency analysis, influx route analysis of data, polarity analysis via opinion mining, and positive and negative keyword analysis by polarity analysis. The results showed that nursery had the highest rank every year and education supported by Center for Children's Foodservice Management has increased significantly. The influx of data has increased through the influx route analysis of data. Blog and cafée, which have a considerable amount of information by the mother should be helpful for use as public relations and participation recruitment paths. By polarity analysis using opinion mining, the positive image of the Center for Children's Foodservice Management was increased. Therefore, the Center for Children's Foodservice Management was well-suited to the purpose and the interests of the people has been increasing steadily. In the near future, the Center for Children's Foodservice Management is expected have good recognition if various programs to participate with family are developed and advertised.

The Analysis of a Diet for the Human Being and the Companion Animal using Big Data in 2016

The purpose of this study was to investigate the diet tendencies of human and companion animals using big data analysis. The keyword data of human diet and companion animals' diet were collected from the portal site Naver from January 1, 2016 until December 31, 2016 and collected data were analyzed by simple frequency analysis, N-gram analysis, keyword network analysis and seasonality analysis. In terms of human, the word exercise had the highest frequency through simple frequency analysis, whereas diet menu most frequently appeared in the N-gram analysis. companion animals, the term dog had the highest frequency in simple frequency analysis, whereas diet method was most frequent through N-gram analysis. Keyword network analysis for human indicated 4 groups: diet group, exercise group, commercial diet food group, and commercial diet program group. However, the keyword network analysis for companion animals indicated 3 groups: diet group, exercise group, and professional medical help group. The analysis of seasonality showed that the interest in diet for both human and companion animals increased steadily since February of 2016 and reached its peak in July. In conclusion, diets of human and companion animals showed similar tendencies, particularly having higher preference for dietary control over other methods. The diets of companion animals are determined by the choice of their owners as effective diet method for owners are usually applied to the companion animals. Therefore, it is necessary to have empirical demonstration of whether correlation of obesity between human being and the companion animals exist.

Tendency and Network Analysis of Diet Using Big Data

Limitation of a questionnaire survey which is widely used is time and money, limited numbers of participants, biased confidence interval and unreliable results. To overcome these, we performed tendency and network analysis of diet using big Data in Koreans. The keyword on diet were collected from the portal site Naver from January 1, 2015 until December 31, 2015 and collected data were analyzed by simple frequency analysis, N-gram analysis, keyword network analysis and seasonality analysis. The results showed that diet menu appeared most frequently by N-gram analysis, even though exercise had the highest frequency by simple frequency analysis. In addition, keyword network analysis were categorized into four groups: diet group, exercise group, commercial diet program company group and commercial diet food group. The analysis of seasonality showed that subject' interests in diet had increased steadily since February, 2015, although subjects were most interested indiet in July, these results suggest that the best strategies for weight loss are based on diet menu and starting diet before July. As people are especially sensitive to diet trends, researches are needed about annual analysis of big data.

Development Scenario of Dietary Intake Survey Using Internet of Things (IoT)

The study suggests the possibility of using internet of things for a dietary intake survey. The development scenario of the dietary intake survey was composed of a weighing sensor for measuring food weight, bluetooth module for communicating through smart-phones, and smart-phone application. The weighing sensor attached to the bottom of utensils was designed to measure the weight of initial food & food eaten, and the results were transmitted to the smart-phone through the bluetooth module. The exclusive application in the smart-phone displayed the results of the amount of food intake, calorie intake, and eating rate. Through this system, subjects could continuously monitor their dietary intake & eating rate and recognize their actual eating environment, which leads to prevent overconsumption of food intake & form balanced eating habits. Based on this system, we need to consolidate and develop a weight control program.

Effects of Food Consumption Monitoring Using Modified Rice Bowls on Food Intake, Satiety Rate, and Eating Rate

The study examined dietary intake, satiety rate, and eating rate using rice bowls with an elevated bottom (diet rice bowl) and rice bowls with an elevated bottom and monitoring line (monitoring rice bowl). The monitoring rice bowl was used to help subjects monitor amounts they had eaten as they ate. Eighteen normal weight college female students participated in this study once a week for 2 weeks. Three hundred grams of fried rice in a diet rice bowl (1st week), and 300 g of fried rice in a monitoring rice bowl were served to the participants over 2 consecutive weeks. After each lunch, dietary intake, satiety rate, and eating rate were measured. The consumption amount of fried rice was 261.6 g in the diet rice bowl group, and 264.8 g in the monitoring rice bowl group. There was no significant difference in fried rice intake between the two groups. The satiety rate of fried rice in the monitoring rice bowl group was significantly higher than that of the diet rice bowl group after 1 hour and 2 hours (P<0.05). The eating rate of the diet rice bowl group (21.3 g/min) was significantly faster than that of the monitoring rice bowl group (18.7 g/min) (P<0.05). This result shows that food consumption monitoring can affect not only eating rate but also the subjective feelings of satiety after meal eating. Although more study is needed, these data suggest consumption monitoring in a rice bowl may help to control obesity and weight.

Influence of the Size of the Spoon on the Eating rate, Energy Intake and the Satiety Levels of Female College Students / 대한지역사회영양학회지

OBJECTIVES: This study examined the influence of different sizes of spoons (normal spoon, 8.3 cc vs small spoon, 4 cc) on eating rate, energy intake and the satiety levels of female college students. METHODS: Twenty four healthy female college students participated in this study once a week for 2 weeks. Two hundred ten grams of cooked rice and 250 g of beef shank soup with a normal spoon and same amount of rice and soup with a small size spoon were served to the same participants over two consecutive weeks. After each lunch, the eating rate, energy intake, and the satiety levels were measured. RESULTS: Results showed that the subjects who were using a small spoon ate less beef shank soup (149.0 kcal) (p < 0.01) and had lower total energy intake (423.3 kcal) (p < 0.05) than using a normal spoon (178.7 and 461.1 kcal, respectively). Also, the meal time (15.7 min) (p < 0.01), a serving per one spoon (8.6 g) (p < 0.001), and eating rate (27.9 g/min) (p < 0.001) of those who used a small spoon were significantly different than that of those who used a normal spoon (13.6 min, 12.5 g and 35.7 g/min, respectively). However, despite consuming less energy at lunch, the level of satiety after eating from the small spoon was not significantly different from the normal spoon immediately after, 1 hour after and 2 hour after lunch. CONCLUSIONS: Our results revealed that students were able to control their eating rate by using a small spoon and they could feel full enough even though they eat less. In conclusion, eating rate decrease by using a small spoon may play an important role in food intake.

Difference in Volume Perception according to Cup Shape in Normal Weight and Overweight Female College Students

The volume perception of water according to cup shape was examined in female college students divided into a normal weight group ( or =23 body mass index, n=48). The perceived water volume was recorded by participants after they observed the water volume in cups with different shape (highball and tumbler) and with different base height (high base and low base), which contained the same amount of water (150 ml). The normal weight group perceived a water volume of 238.5 ml (highball) and 201.6 ml (tumbler) for the high base cups. The overweight group perceived a volume of 245.6 ml (highball) and 188.8 ml (tumbler). For the low base cups, the normal weight group perceived a water volume of 207.8 ml (highball) and 104.1 ml (tumbler). The overweight group perceived a volume of 202.2 ml (highball) and 100.4 ml (tumbler). Both the normal weight and overweight groups perceived significantly more liquid in the highball cups compared to the tumbler cups. In addition, both groups perceived significantly more liquid in the high base cups compared to the low base cups. However, there were no significant differences in the estimated variance of perceived volume between the normal weight and overweight groups according to the cup shape and cup base height. In conclusion, cup shape and base height potentially affects volume perception. Therefore, modifying cup shape may be used in a weight control program to help control caloric beverage consumption.

Influence of Visual Differences in Bowl Size and Types on Dietary Intake of Female College Students with Normal Weight / 대한지역사회영양학회지

OBJECTIVES: This study examined the impact of perceived volume on satiety using normal rice bowl, diet rice bowl and small rice bowl. METHODS: Thirty-six normal weight college female students participated in this study once a week for 3 weeks. Three hundred grams of fried rice in a normal rice bowl (1st week), 300 g of fried rice in a diet rice bowl (2nd week), and 300 g of fried rice in small rice bowl (3rd week) were served to the same participants over three consecutive weeks. After each lunch, the consumption volume of fried rice and the satiety rate were measured. RESULTS: The consumption volume of fried rice was 248 g (414.5 kcal) with a normal rice bowl, 254 g (429.8 kcal) with a diet bowl, and 270 g (456.8 kcal) with a small rice bowl. Results showed that the subjects who were eating from the small rice bowl ate more fried rice (p < 0.05) than eating from the normal rice bowl and diet rice bowl. However, the satiety rate of fried rice in a diet rice bowl was significantly higher than that of normal rice bowl and small rice bowl (p < 0.05). The five point scale of perceived volume on fried rice served normal rice bowl, diet rice bowl and small rice bowl were 2.4, 4.0 and 2.1. CONCLUSIONS: The visual cue plays a critical role in determining satiety and that perceived volume is perhaps more important than actual volume of consumed food in determining the level of fullness.

Effect of Food Consumption Monitoring Using a Smartphone on Weight Changes in Obese Women

This study investigated the effect of food consumption monitoring and real-time communication-based weight control program using a smartphone on weight reduction and maintenance in obese women. This study consisted of two phases: an 8-week weight control program with food consumption monitoring and real-time communication using a smartphone and an 8-week follow-up. Sixteen obese female college students (>30% body fat) participated in this program, and we measured changes in body composition and dietary intake volume. Follow-up analysis focused on weight maintenance after 8 weeks of no contact. Total energy intake (P<0.01), body weight (P<0.001), percent body fat (P<0.001), body fat (P<0.05), and body mass index (P<0.001) decreased significantly after the 8-week weight control program. However, we could not observe total energy intake or body composition regain after the follow-up period. These results suggest that food consumption monitoring and real-time communication using a smartphone can be effective for weight control and maintenance.

The Relationships of Chewing Frequency, Eating Rates, and Food Consumption with the Body Mass Index and Gender of College Students

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 ( or =23 body mass index, n=11). Twenty-five female college students were divided into a normal weight female group ( or =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.

The Effect of Nutrition Education and the Diet Rice Bowl on Weight Control

This study examined the effectiveness of nutrition education and program using the diet rice bowl during a four-week diet program. Thirty-eight female college students were randomly assigned to a nutrition education (NE) group or a nutrition education and diet rice bowl (ND) group. The mean energy intake of the NE and ND group during the program was 1,130.8 kcal and 1,287.4 kcal, respectively. The total energy intake of both groups were significantly decreased during the program. In addition, the change of body weight and fat in both groups significantly decreased during the program. The NE group lost 2.8 kg of body weight and 1.4% of body fat, while the ND group lost 2.5 kg of body weight and 1.2% of body fat. The changes in total cholesterol and LDL-cholesterol in both groups also significantly decreased during the program. However, there were no significant differences in the changes of body weight, body fat mass, the total cholesterol and LDL-cholesterol between the two groups. This study could not identify a weight reduction effect of the diet rice bowl, however, this may be due to subjects' infrequent use of the diet rice bowl by their frequent meal skipping and eating-out in our study. Therefore, further studies regarding the compliance to the diet rice bowl should be conducted to examine its effectiveness on weight control.

Difference in Volume Perception According to Beverage or Cup Color in Normal Weight and Obese College Students

We examined the perception of volume in college students with a normal weight versus those students with obesity. College students were divided into a normal weight group ( or =23 body mass index, n=110), The perception of volume was measured under different beverage colors (colorless, black, yellow, and blue) and cup colors (colorless, black, yellow, and blue) containing the same amount of liquid (150 ml). We found that the normal weight group perceived significantly more liquid in a cup with a blue beverage versus a colorless one. The obese group perceived significantly more liquid in a cup with a yellow or blue beverage versus a colorless one. In terms of cup color, the normal weight group perceived significantly more liquid in a black color cup compared to a blue color cup. However, there were no differences in perceived volume according to the color of cup among the obese group. There were no significant differences in the perceived volume between the normal and obese group under all conditions tested. In conclusion, beverage and cup color effects volume perception in normal weight students, while only beverage color effects volume perception in obese students. Therefore, controlling, the color of beverages and cups may help to control the consumption of drinks.

Effects of Food Consumption Monitoring Using a Camera-Phone on Body Weight and Serum Lipid Level in Obese Female College Students

This study was conducted to investigate the effects of food consumption monitoring using a camera-phone in a weight control program. Twenty-six female college students (>30% body fat) were randomly assigned to the camera-phone and diary (CD) group or diary (D) only group. During the 8-week weight control program, the CD group controlled their food consumption using a camera-phone, in which they took a food picture and uploaded it to the homepage. However, the D group used only a diary to record their food intake. The mean energy intake of the CD group during the program was 1451.9 kcal while that of the D group was 1524.3 kcal. The total energy intakes of both groups significantly decreased during the program. The CD group lost 5.2 kg of body weight and 3.1% body fat while the D group lost 2.2 kg of body weight and 1.1% body fat. The body weight and fat levels significantly decreased in the CD group compared to the D group. The triglyceride, total-cholesterol and LDL-cholesterol levels of the CD group as well as the total-cholesterol level of the D group significantly decreased during the program. The total-cholesterol and LDL-cholesterol levels both significantly decreased in the CD group compared to the D group. In this study, it was concluded that digital photography method using a camera-phone might influence weight control through trained consumption monitoring, which helps individuals reduce discrepancies between perceived and actual consumption levels.

Weight Control Program through the Fortification of Food Consumption Monitoring on Obese Female College Students: Using Smart-Phone with Real Time Communication Application / 대한지역사회영양학회지

This study was conducted to investigate the effects of real time communication digital photography method using Kakao Talk application in smart-phone for the fortification of food consumption monitoring and weight reduction. Thirty-four female college students were randomly assigned to the camera-phone (CP) group or smart-phone (SP) group. Each group participated in the weight control program for 8 weeks. The mean energy intake of CP group during program was 1353.5 kcal and the SP group consumed 1289.2 kcal. The total energy intake of both groups was significantly decreased during the program. The CP group lost 1.9 kg of body weight and 1.9% of body fat and the SP group lost 4.3 kg of body weight and 3.0% of body fat. The body weight was significantly decreased in the SP group compared to the CP group. The triglyceride and total cholesterol, and LDL-cholesterol level of SP group were significantly decreased during the program. However, there were no significant changes in CP group during the program. Also there were no significant changes in lipid profile between two groups. In this study, it is considered that real time communication digital photography method using Kakao Talk application in smart-phone might influence weight control through a trained consumption monitoring. Therefore, smart-phone can lead individuals to rely more heavily on easy-to-monitor visual cues.

Difference in Volume Perception of Cooked White Rice according to Size and Color of Rice Bowl in Normal and Obese Women

To examine the effect of obesity on volume perception according to size and color of rice bowl, we divided female college students into a normal weight group ( or =30% fat mass, n=83) and then measured perceived volume of rice bowls of various sizes (general size; 350 ml vs. small size; 188 ml) and color (yellow, white, blue, and black) containing the same amount of cooked white rice (210 g). Normal weight group perceived that the general rice bowl contained significantly more cooked white rice compared to the small rice bowl. In contrast, the obese group perceived that the general rice bowl contained significantly less cooked white rice than the small rice bowl. The estimated variance in perceived volume of both bowls was significantly bigger in the obese group compared to the normal group. There were no differences in perceived volume among any of the subjects (both normal and obese groups) according to rice bowl color. However, the estimated variance in perceived volume in the obese group was significantly larger than that in the normal group for all of the rice bowls. In conclusion, rice bowl size and color might affect volume perception, and volume perception in obese people may be different from that of normal weight people.

Effect of Visual Perception on Food Consumption and Satiety Levels Using a Modified Soup Bowl

We examined whether visual perception related to consumption norms could influence food consumption and satiety by using modified soup bowls with elevated bottoms. Twenty-six healthy women (BMI 19.9 kg/m2 Age 24 yr) participated in the study once a week for 2 weeks. The subjects were served beef shank soup in one of two soup bowls (180 g soup in the modified bowl or 250 g soup in the normal bowl). The results showed that subjects who ate from the modified soup bowl consumed less soup (135.3 kcal vs 180.0 kcal, P<0.001) and had lower total energy intake (390.6 kcal vs 438.1 kcal, P<0.01) than those who ate from the normal soup bowl. However, despite consuming fewer calories, satiety levels of those who ate from the modifed soup bowl were not significantly different from those using the normal soup bowl. In conclusion, these results indicate that the modified soup bowl which created a distorted visual perception ot the amount of soup in the bowl leads to decreased soup intake and total energy intake without altering satiety. The reduced amount of soup in the modified soup bowl may also implicitly suggest what might be interpreted as an appropriate amount to consume, and also in essence suggest reduced consumption norm.