• Journal of the Korean Dietetic Association
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• v.22 no.4
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• pp.310-319
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• 2016

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 subjects' 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.

• Journal of Nutrition and Health
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• v.37 no.5
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• pp.373-384
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• 2004

The objectives of this study were to identify dietary patterns of Korean middle school students and to investigate the characteristics of dietary intake of subjects with different dietary pattern. Three-day diet records were obtained from 163 male and 155 female 7th graders in Seoul, Korea. Food items from the diet records were aggregated into 22 food groups before subjected to factor analysis. Four dietary patterns emerged from factor analysis with different factor score. Cluster analysis using factor score classified subjects into three groups named 'Traditional' (n = 42), 'Westernized' (n = 135), and 'Intermediate' (n = 145). Major nutrient intake and dietary quality assessed by NAR (Nutrients Adequacy Ratio), MAR (Mean Adequacy Ratio), DDS (Dietary Diversity Score), and DVS (Dietary Variety Score) of the three groups were compared. Mean energy intakes of three groups were 1783, 1916, 1578 kcal in Traditional, Westernized, and Intermediate diet group respectively. Differences in nutrient intake of the groups were significant in all nutrients except vitamin B$_1$. Percent energy from fat was significantly higher in Westernized and Intermediate diet group, and cholesterol intake of Westernized diet group was higher than 300mg. NARs of most nutrients were higher in Traditional and Westernized than Intermediate diet group except vitamin E. Traditional and Westernized diet groups had the highest MAR of fourteen nutrients. DDS was the highest in Westernized and DVS was the highest in Traditional and Westernized diet group. Traditional diet groups had 22％ of energy consumption from breakfast, significantly higher than other diet groups. In conclusion, these results suggest that Korean teenagers with Traditional diet pattern have lower diet in ％ energy from fat, diversity of food and regularity of meals. Future studies need to focus on the relationship between dietary patterns and health status of Korean teenagers.

• Korean Journal of Human Ecology
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• v.19 no.1
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• pp.157-165
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• 2010

The purpose of this study was to investigate the awareness and practices for diet according to the lifestyles of college students in Youngnam region. The data were collected by self-administered questionnaires during May 2007. One hundred-ninety samples were analyzed by SPSS Windows. Frequencies, Cronbach's alpha, factor analysis, cluster analysis, one-way analysis of variance, Duncan's multiple range test and chi-square test were conducted. The results were as follows. Lifestyles were categorized into four factors by factor analysis: popularity-seeking type, body-management-seeking type, convenience-seeking type and healthy-seeking type. In addition, the respondents belonged to one of four groups by cluster analysis: body-management-seeking group, popularity-seeking group, convenience-seeking group, and healthy-seeking group. There were significant differences in perception about individual body images, concern of diet, awareness of diet necessity and knowledge and practices for diet among the four groups. That is, the body-management-seeking group showed the highest levels of concern of diet, awareness of diet necessity and the practice of fasting therapy. Additionally, the healthy-seeking group showed the highest level of practice of exercise therapy.

• Journal of Animal Science and Technology
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• v.56 no.5
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• pp.16.1-16.9
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• 2014

Fatty acids (FA) have recently been used in several studies to infer the diet in a number of species. While these studies have been largely successful, most have dealt with predators that have a fairly specialized diet. In this paper, we used FA analysis as a tool to infer the diet of the nearctic river otter (Lontra canadensis). The river otter is an opportunistic predator known to subsist on a wide variety of prey including, fishes, crayfish, molluscs, reptiles and amphibians, among others. We analyzed the principle components of 60 FA from otters and 25 potential prey species in Illinois, USA. Prey species came from 4 major taxonomic divisions: fishes, crayfish, molluscs and amphibians. Within each division, most, but not all, species had significantly different profiles. Using quantitative FA signature analysis, our results suggest that, by mass, fish species are the most significant component of Illinois River otters' diet ($37.7{\pm}1.0%$). Molluscs ranked second ($32.0{\pm}0.8%$), followed by amphibians ($27.3{\pm}4.3%$), and finally, crayfish ($3.0{\pm}0.6%$). Our analysis indicates that molluscs make up a larger portion of the otter diet than previously reported. Throughout much of the Midwest there have been numerous otter reintroduction efforts, many of which appear to be successful. In regions where mollusc species are endangered, these data are essential for management agencies to better understand the potential impact of otters on these species. Our analysis further suggests that quantitative FA signature analysis can be used to infer diet even when prey species are diverse, to the extent that their FA profiles differ. Better understanding of the otter's metabolism of FA would improve inferences of diet from FA analysis.

• Asian-Australasian Journal of Animal Sciences
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• v.32 no.6
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• pp.849-855
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• 2019

Objective: This study was conducted to compare growth performance, nutrient digestibility and meat quality of broilers fed a genetically modified organism (GMO) diet or a non-GMO diet. Methods: A total of 840 broilers with an initial body weight of 43.03 g per chick were randomly allocated into 1 of the following 2 dietary treatments lasted for 32 days (15 broilers per pen with 28 replicates per treatment): i) Trt 1, GMO maize-soybean meal based diet; ii) Trt 2, non-GMO maize soybean meal based diet. Both diets were maize-soybean meal diets. The GMO qualitative analysis, proximate analysis and amino acid analysis of the feed ingredient samples were carried out. Diets were formulated based on a nutrient matrix derived from analysis results. Growth performance was measured on day 0, 7, 17, and 32. And all other response criteria were measured on day 32. Results: The analysis results showed that the total Lys, Met, Thr of non-GMO grains were lower than that of GMO grains, the protein content of GMO soybean meal was higher than that of non-GMO soybean meal. Feed intake and feed conversion rate (FCR) were greater (p<0.05) in broilers provided with non-GMO diet than that of the GMO group from d 17 to 32. A decrease in FCR was observed in birds fed the GMO diet through the entire experiment (p<0.05). No significant impacts on blood profile, meat quality and nutrient digestibility were found in response to dietary treatments throughout the experimental period (p>0.05). Conclusion: These results indicated that non-GMO diet showed a negative effect on growth performance but nutrient digestibility, blood profile, carcass weight and meat quality were not affected by non-GMO diets.

• Human Ecology Research
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• v.53 no.6
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• pp.655-665
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• 2015

This study classified respondents by food-lifestyle and investigated differences in diet-related attitudes and demographic variables among food-lifestyle groups. Diet-related attitudes consisted of variables such as interest in diet, trial number of diet, diet period, weight loss, diet motivation, verification of products approved by the Ministry of Food and Drug Safety, verification of manufacturer's reliability, examination of damage cases and side effects, and awareness of consumer protection law. This study administered a questionnaire survey to adults between the ages of 20 and 39 who lived in Daegu and Uijeongbu from November 17th to December 14th 2014. Data collected from 293 respondents were analyzed using descriptive statistics, factor analyses, cluster analysis, analysis of variance (ANOVA) and chi-square tests. Four clusters (passive eating habit group, active eating habit group, convenience oriented group, and taste and health oriented group) were developed according to four factors of food-lifestyle (health-conscious, popularity-seeking, taste-seeking, convenience-seeking). The results of the ANOVA and chi-square tests indicated significant differences in interest in diet, awareness of consumer protection law, verification of products approved by the Ministry of Food and Drug Safety, verification of manufacturer's reliability, examination of damage cases and side effects, gender, education levels and household monthly income levels among food-lifestyle groups.

• Korean Journal of Community Nutrition
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• v.23 no.2
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• pp.128-136
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• 2018

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.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.3
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• pp.1141-1144
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• 2014

Background: Even though many studies have examined the possible effect of low-fat diet on breast cancer survival, the relationship remains unclear. Objectives: To summarize the current evidence about the effect of post-diagnostic low-fat diet on recurrence and all-cause mortality of breast cancer. Methods: We conducted a search of Pubmed, Embase, Web of Science, and Cochrane Library and as a result two randomized controlled trials (RCT) and one large multi-center prospective cohort study with 9,966 breast cancer patients were included in this report. Results: Post-diagnostic low-fat diet reduced risk of recurrence of breast cancer by 23% (HR=0.77, 95%CI 0.63 to 0.94, P=0.009) and all cause mortality of breast cancer by 17% (HR=0.83, 95%CI 0.69 to 1.00, P=0.05). Conclusions: This meta-analysis suggested the post-diagnostic low-fat diet can improve breast cancer survival by reducing risk of recurrence. However, more trials of the relationship between low-fat diet and allcause mortality of breast cancer are still needed.

• Korean Journal of Human Ecology
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• v.17 no.3
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• pp.521-532
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• 2008

The study aims to examine college students' practice characteristics related to diet and to identify factors determining their diet practice. The subjects were college students (N=387) in Youngnam region; a questionnaire survey was conducted in May, 2007. The data were analyzed by SPSS Windows. The results are as follows: first, the ratio of female students going on a diet is higher than that of male students. Second, according to the BMI, female students more regard themselves as being overweight than male students do, although they are underweight or normal weight. Third, in the interest in diet, almost half the students think of themselves as being "somewhat" or "much" concerned about diet. Fourth, the binary logistic regression analysis shows that the significant factors affecting female students' diet practice are the variables of "grade", "interest in diet", "body image evaluation in the individuals", "information/education requirement on dietary guidelines", and "necessity to go on a diet". On the other hand, the significant variables affecting male students' diet practice are the variables of "to take diet- or health-related courses", "interest in diet", "diet knowledge", and "diet practice".

• Korean Journal of Agricultural Science
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• v.49 no.4
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• pp.1015-1031
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• 2022

The objectives of this study were to classify the types of elderly households and to compare the characteristics of their dietary lifestyle. Panel data surveyed by Korea Rural Economic Institute (KREI) for Food Purchase Attitudes over three years (2019 - 2021) were utilized for the analysis. Through a factor analysis, five common factors were extracted out of 19 basic variables related to dietary style, which indicate two kinds of consumer competency index (safe diet, traditional diet) and three kinds of purchase frequency (healthy food, meat & fish, fresh seafood). Applying the cluster analysis method, by using socioeconomic variables along the five common factors, elderly households aged 60 or older were grouped into four types. As a result, Type 1 elderly households accounted for 50.8%, Type 2 for 16.2%, Type 3 for 27.8%, and Type 4 for 5.2% out of all 870 elderly households. Type 1 is characterized as a low-income vulnerable class with a poor diet, Type 2 as a middle-income class with a healthy food-oriented diet, whereas Type 3 was classified as a middle-income class with a meat-oriented diet, and Type 4 as a high-income class with diverse dietary culture. It is necessary to expand the agri-food voucher pilot project to the entire country and also increase the monthly subsidy for the Type 1 elderly households. Implementing community kitchen projects for elderly single-person households, promoting senior internships by providing incentives to companies that employ retirees, the provision of education by local governments on a safe and balanced diet for Types 2 and 3, and the promotion of an elderly-friendly social environment are also recommended.