• The Korean Journal of Food And Nutrition
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• v.28 no.1
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• pp.73-83
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• 2015

The purpose of this study was to investigate the health status and food habits of male college students in Seoul according to drinking habits. In order to identify risk factors, health surveys were conducted from October 2013 to December 2013. Average height, weight, and BMI of subjects were $175.47{\pm}5.27cm$, $67.93{\pm}9.28kg$, and $22.04{\pm}2.67kg/m^2$, respectively. Weight and BMI were higher in the non-drinking groups compared to the drinking groups (p<0.05). Frequency of drinking was 2~3 times per month, and 52.4% of subjects started drinking when starting university. The motivation to start drinking was cited as "From necessity". Reason for drinking was "Social relations". The favorite kind of drink was beer. Rate of taking supplements was 24.4% of the subjects. Vitamin preparations were highest in drinking groups and non-drinking groups (p<0.05). The reasons for skipping meal were "too busy" in the drinking groups, and "oversleep" in the non-drinking groups (p<0.05). The preference for snacking in drinking groups were milk, milk products, and fast food, with the highest being listed first. The non-drinking groups preferred carbonated drinks and ice cream. The drinking groups need more education about their drinking habits. Drinking groups also need an increased intake of vegetables and fruits.

• Journal of the Korean Society of Food Culture
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• v.22 no.4
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• pp.482-491
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• 2007

This study was carried out to find out differences about meal conditions and food preference between non-obese and obese elementary school children. Ten children(non-obese 5 and obese 5) from each of the nationwide 192 schools were surveyed by self-developed questionnaire. Total of 1,767 questionnaires(815 from non-obese and 952 from obese children) were collected and data were analyzed using SPSS 12.0 program. The results of the comparative analysis were summarized as follows. There was not significantly different in height between non-obese $group(151.0{\pm}12.5cm)$ and obese $group(151.2{\pm}12.3cm)$. But BMI was significant difference between non-obese $group(18.0{\pm}2.2cm)$ and obese $group(27.3{\pm}3.2cm)$. Economical status was not significantly different between 2 groups. But educational level of parents and mother’ job were significant differences between 2 groups. Only 2/3 of the subjects reported to have breakfast at regular basas, regularity of having breakfast was not significantly different between 2 groups. Also regularity of having lunch during vacation was not significantly different between 2 groups. But Reasons of skipping breakfast and lunch were significantly different between 2 groups. Regularity of having dinner, reasons of skipping dinner, intake amount in dinner, and frequency of having snacks were significantly different between 2 groups. But the time required for lunch and dinner were under 20 minutes of 60-80% of the subjects, and were not significantly different between 2 groups. Non-obese group have liked fast foods, fruits & juices, sweets, and cakes & cookies than obese group. Obese group have liked meat & meat products and ramyeon, but they have not eaten those foods frequently because of anxiety about being more fatty. These findings suggested that nutrition education programs include different strategy according to obesity and obese prevention program is needed for non-obese school children.

• The Research Journal of the Costume Culture
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• v.27 no.2
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• pp.181-192
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• 2019

The growth of cheap, industrial, mass-production-so-called "fast fashion"-has led to dramatic increases in levels of consumption. Inexpensive products tend to foster unsustainable consumption behaviors, which negatively impact the environment and increase pressure to obtain goods at lower and lower prices; this, in turn, has the competitive effect of decreasing wages. This study focused on the concept of socially responsible consciousness in relation to fashion products. Environmental and labor issue concerns were employed as major variables. Empirical data were collected from males and females, between the ages of 10 and 50. Demographic differences were found in SR consciousness. For example, participants in their 10s, 40s, and 50s had higher levels of SR consciousness than those in their 20s and 30s. In addition, consumers' levels of environmental and labor issue concerns had varying effects on the criteria they used to select clothing. Product category type was also an influential factor. Moreover, the analysis showed that SR consciousness was less important in the apparel industry than in the food sector. The study also found an attitude-behavior link in relation to the concept of SR consciousness. The link was stronger for environmental concerns than for labor issue concerns. This study aimed to develop a better understanding of current customers' characteristics and levels of SR consciousness.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.423-430
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• 2022

The emergence of social media platforms has changed the culture of business marketing. Their impact has increased considerably since the emergence of social media influencers or content creators. The phenomenon of social media influencers has been adopted as one of the most effective marketing strategies among global and local organizations. Those celebrities attract business owners, who seek to use them as means to reach a large number of potential consumers. Today, the user bases of Snapchat and YouTube in Saudi Arabia are growing fast and becoming very popular, unlike other social media platforms. Consequently, the impact of these applications' influencers on the purchasing habits of individuals cannot be underestimated. This survey paper intends to investigate the impact of Snapchat and YouTube influencers on the consumption behaviour of Saudi consumers. Results suggest that Snapchat is not only more popular but also more rusted and credible. Moreover, influencers' impact on purchasing behaviour is prevalent and powerful; furthermore, its influence is more effective in persuading Saudi consumers to buy certain products, such as food, than other products, like jewelry.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1245-1245
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• 2001

Food adulteration is a serious consumer fraud and a matter of concern to food processors and regulatory agencies. A range of analytical methods have been investigated to facilitate the detection of adulterated or mis-labelled foods & food ingredients but most of these require sophisticated equipment, highly-qualified staff and are time-consuming. Regulatory authorities and the food industry require a screening technique which will facilitate fast and relatively inexpensive monitoring of food products with a high level of accuracy. Near infrared spectroscopy has been investigated for its potential in a number of authenticity issues including meat speciation (McElhinney, Downey & Fearn (1999) JNIRS, 7(3), 145-154; Downey, McElhinney & Fearn (2000). Appl. Spectrosc. 54(6), 894-899). This report describes further analysis of these spectral sets using a hierarchical approach and binary decisions solved using logistic regression. The sample set comprised 230 homogenized meat samples i. e. chicken (55), turkey (54), pork (55), beef (32) and lamb (34) purchased locally as whole cuts of meat over a 10-12 week period. NIR reflectance spectra were recorded over the wavelength range 400-2498nm at 2nm intervals on a NIR Systems 6500 scanning monochromator. The problem was defined as a series of binary decisions i. e. is the meat red or white\ulcorner is the red meat beef or lamb\ulcorner, is the white meat pork or poultry\ulcorner etc. Each of these decisions was made using an individual binary logistic model based on scores derived from principal component or partial least squares (PLS1 and PLS2) analysis. The results obtained were equal to or better than previous reports using factorial discriminant analysis, K-nearest neighbours and PLS2 regression. This new approach using a combination of exploratory and logistic analyses also appears to have advantages of transparency and the use of inherent structure in the spectral data. Additionally, it allows for the use of different data transforms and multivariate regression techniques at each decision step.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1152-1152
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• 2001

Food adulteration is a serious consumer fraud and a matter of concern to food processors and regulatory agencies. A range of analytical methods have been investigated to facilitate the detection of adulterated or mis-labelled foods & food ingredients but most of these require sophisticated equipment, highly-qualified staff and are time-consuming. Regulatory authorities and the food industry require a screening technique which will facilitate fast and relatively inexpensive monitoring of food products with a high level of accuracy. Near infrared spectroscopy has been investigated for its potential in a number of authenticity issues including meat speciation (McElhinney, Downey & Fearn (1999) JNIRS, 7(3), 145 154; Downey, McElhinney & Fearn (2000). Appl. Spectrosc. 54(6), 894-899). This report describes further analysis of these spectral sets using a hierarchical approach and binary decisions solved using logistic regression. The sample set comprised 230 homogenized meat samples i. e. chicken (55), turkey (54), pork (55), beef (32) and lamb (34) purchased locally as whole cuts of meat over a 10-12 week period. NIR reflectance spectra were recorded over the wavelength range 400-2498nm at 2nm intervals on a NIR Systems 6500 scanning monochromator. The problem was defined as a series of binary decisions i. e. is the meat red or white\ulcorner is the red meat beef or lamb\ulcorner, is the white meat pork or poultry\ulcorner etc. Each of these decisions was made using an individual binary logistic model based on scores derived from principal component or partial least squares (PLS1 and PLS2) analysis. The results obtained were equal to or better than previous reports using factorial discriminant analysis, K-nearest neighbours and PLS2 regression. This new approach using a combination of exploratory and logistic analyses also appears to have advantages of transparency and the use of inherent structure in the spectral data. Additionally, it allows for the use of different data transforms and multivariate regression techniques at each decision step.

• Korean Journal of Human Ecology
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• v.20 no.2
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• pp.449-465
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• 2011

This study was performed to investigate the effects of food habits and life style on the skin health of young Korean females in their late teens and twenties. The study focused on facial skin and used a self-administered questionnaire survey, an examination of skin type, and pH tests. More than half of the females had combination skin type or pH level higher than 5.8 which is regarded as normal. The variables that turned out to significantly (p<0.05) effect their facial skin types were body mass index (BMI), the type of residence, the amount of water intake, whether or not they intake drinks, the frequency and amount of alcohol drinking, favorite foods as side dishes at meals, intake frequency of fruit, the dairy, seaweed, and fast food, the frequency of washing their faces per day, the method of how they used water during face washing, whether or not they had professional skin care, and whether or not they wore color make up. The variables of the females' age, BMI, the amount of alcohol drinking, the frequency and duration of exercise, the controlling methods of stress, their favorite foods as side dishes at meals, and the intake frequency of soy products or animal foods significantly affected their facial pH levels (p<0.05). The results of this study indicate that some food habits and life styles are significantly related with facial skin health. More importantly BMI and favorite foods as side dishes during daily food intake could have remarkable effects on facial skin health.

• Journal of Korean Dental Hygiene Science
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• v.6 no.2
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• pp.1-12
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• 2023

Objectives: This study attempted to identify the eating habits and oral health behaviors of Korean teenagers, studying their relationship with oral health status. The findings serve as fundamental data to enhance proper eating habits and oral health-related projects, ultimately improving teenagers' oral health. Methods: It was analyzed through the original data of the 16th (2020) online survey of youth health behavior in Korea, Frequency analysis, complex sample cross-analysis, complex sample logistic regression analysis were conducted using the SPSSwin 21.0 program. Results: As a result of the study, was associated with the consumption of all sweet drinks, fast food intake, and the frequency of daily brushing over the past 7 days Teeth pain is noted with the consumption of soda, sweet drinks, fast food, and the frequency of daily brushing over the past 7 days. Gum bleeding is noted with the consumption of sweetened products, fast food intake, and the frequency of daily brushing over the past 7 days. Conclusions: Eating habits and oral health behaviors should be considered for the oral health management of middle and high school students. Specific measures should be sought to provide proper dietary education and systematic oral health education to improve the oral health of middle and high school students.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.5-5
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• 2022

A little more than a decade ago, the International Rice Research Institute (IRRI) started on a journey of revitalization through adopting the concept of systems research. Instead of being just a rice breeding and affiliated sciences research center, it expanded its vision of impact on the rice-based food systems. In almost the same vein the OneCGIAR has also attempted to aggregate the commodity-based research into food systems-based research that critically caters to specific overarching 'Impact and Action Areas'. Incidentally, IRRI's structure and operations map on to these Impact and Action areas very well. Hence, IRRI's research directly caters to societal, economic and environmental sustainability. It does so through a coherent pipeline that spans the upstream discovery component all the way to product delivery, dissemination, and impact assessment. While a circular 5D-pipeline of demand, discovery, development, deployment and distinction attend to the ground-level realities of demand, development and acceptance of a product, the Four Flagships attend to proximal deliverables under challenging conditions of change brought about by the CGIAR restructuring and COVID-19. Prioritizing specific products under the flagships ensures that institutional support is available to fast-track the deliverables. Clear examples now highlight the potential of such approaches. Thus, despite the challenges of climate change, political unrest of war and global medical encumbrances, the stable partners of IRRI like Korea have helped to come close to deliverables.

• Nutrition Research and Practice
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• v.7 no.4
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• pp.330-335
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• 2013

Data are limited on the association between dietary patterns and screen time among Korean adolescents. The present study identified dietary patterns of 691 adolescents, aged 13-18 years, who had participated in the Third Korean National Health and Nutrition Examination Survey (KNHANES III) and analyzed their associations with screen time. Screen time was defined as the time spent watching TV, using a computer, or playing video games was calculated as a sum of all these times. Dietary patterns and their factor scores were derived from a food frequency questionnaire using the factor analysis method. To analyze the association between dietary patterns and screen time, we conducted multiple linear regression analysis. We also performed multiple logistic regression analysis to estimate odds ratios (OR) of excessive screen time (2 hours or longer per day) and 95% confidence intervals (CI). We identified 2 dietary patterns labeled "the Korean healthy dietary pattern" and "the Western diet and fast foods pattern". The former included mixed grains, legumes, potatoes, red meat, eggs, fish, dairy products, fruits, vegetables, seaweeds, and mushrooms, whereas the latter included noodles, bread, red meat, poultry, fast foods, snack, and soft drinks. After controlling for potential confounding factors, factor scores for the Korean healthy dietary pattern were inversely associated (P-value for trend < 0.01) and those for the Western diet and fast foods pattern were positively associated with the screen time (P-value for trend < 0.01). Adolescents in the top tertile of the scores for the Korean healthy dietary pattern had a multivariable-adjusted OR [95% CI] of 0.44 (0.25-0.75) for excessive screen time compared with those in the lowest tertile. On the basis of these findings, adolescents who have excessive screen time may need to be encouraged to consume a more healthy diet.