• Journal of the Korean Society of Food Science and Nutrition
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• v.24 no.6
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• pp.892-900
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• 1995

Dietary data of 538 middle school students have been analysed to identify the contribution of specific foods to absolute intake and between-person-variance in nutrient consumption. The 24-hour-dietary-recall method had been used to collect the data required. Contribution of specific foods, in terms of ranking order for both absolute intake and between-person-variance have been observed. Ranking order of food for absolute intake was given based on the percen of contribution whereas the ranking order of foods for between-person-variance was given based on the percent of contribution whereas the ranking order of foods for between-person-variance was given based on a coefficient fo variation. As a result, for most of the nutrients(except cholesterol), the ranking order of foods for the between-person-variance was quite different from that of absolute intake. The results indicate that to identify between-person-variance of nutrient intake in an epidemiology study, foods with a high ranking in between-person-variance should be included in developing the food frequency questionnaires rather than foods which showed a high ranking in absolute intake.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.720-729
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• 2021

The purpose of this study was to measure repeated the process of non-suicidal self-injury individuals change in everyday life through the Ecological Momentary Assessment(EMA) daily diary. The study subjects of were 17 adults aged 19 to 29, accessed a link sent by text message on a cell phone and recorded a diary of the day's affects, interpersonal conflicts, self-injury thoughts, and behaviors once a day for two weeks. Using a total of 238 reported entries, the contextual factors of NSSI were examined, and the effects of affects and interpersonal conflicts on NSSI analyzed through a multi-level model. As a result, the negative affects of that day have a significant relation with within subject NSSI behavior and positive affects have a significant relation between subject NSSI behavior. These findings means that overall individuals with low positive affects have a higher risk of self-injury behavior compared to those with higher levles of positive emotions, and an increase in negative emotions on that day within an individual increases the risk of self-injury behavior on that day. In other words, it implies that it is important to manage negative emotions and strengthen overall positive affects for that day in the intervention of emotion-regulation of experienced self-injury individuals. It is meaningful that this study explored NSSI risk factors experienced in daily life through the short-term longitudinal study.

• Information Systems Review
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• v.26 no.1
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• pp.385-407
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• 2024

This study explains consumers' showrooming which refers to the activities of visiting offline stores to check products in person and obtaining information offline and online via mobile devices before making the final decision to buy. More specifically, this study verifies key determinants of showrooming based on two dimensions of the mobile technology and user characteristics. Furthermore, the study examines the relationship of showrooming and purchase intentions and the moderating effect of perceived risks on the relationship. The key findings are as follows: firstly, service connectivity and time convenience of the mobile technology characteristics are positively related to showroming. Secondly, as the user characteristics, need for touch and personal innovativeness increase showrooming while impulsiveness does not. Thirdly, showrooming contributes to the increase of purchase intentions. Finally, moderating effect of perceived risks has turned out to be insignificant. This study has implications by providing the understanding of key determinants of showrooming and further proving the positive relationship of showrooming and purchase intentions.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.239-252
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• 2020

By using text mining, we explore the factors responsible for an increase in SUV preference. We collected 32,679 posts related to SUVs from "Bobaedream," the largest online automobile community in South Korea, and applied the LDA topic model. While previous studies have explained the SUV boom as an individual's risk aversion strategy from crime, the result shows that the topic of 'Safety' appears to be an important factor in the SUV discourse in the context of a car accident and high-speed driving situation. To conclude, the consumption of SUVs in Korean society serves as a mean to prevent anxiety and danger to individuals when driving. We insist that decreasing social trust, caused by an increase in inequality, underlies the perception of risk on the road.

• Korea journal of population studies
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• v.29 no.3
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• pp.159-188
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• 2006

This study attempts to create a longitudinal dataset by linking tdata on the identical individuals across the monthly sample household management lists of the Economically Active Population Survey(EAPS) and the Household Income and Expenditure Survey(HIES). Using the data constructed through such process, the study also tryies to analyze the duration of longitudinal responses and the characteristics of nonrespondents. Between 1998 and 2002, longitudinal response rates had declined to 46% of total EAPS and 34% of total HIES. The fact that nonresponse was not a random phenomenon leads to concerns about the representativeness of the remaining sample. Using Cox's proportional hazard model the study revealed that the duration of longitudinal responses is affected by the ownership of house and the age of the respondent.

• Journal of agricultural medicine and community health
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• v.47 no.4
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• pp.268-274
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• 2022

Objectives: The purpose of this study was to identify the individual and regional risk factors on depression using community-based data in Jeollabuk-do. Methods: This cross-sectional study obtained data from the Community Health Survey 2018 in Jeollabuk-do. The dependent variable was depression measured by Patient Health Questionnaire-9 (PHQ-9). The prevalence of depression was defined if total score of PHQ-9 was 10 or higher. A multilevel analysis was conducted to consider individual and regional level independent variables that could be risk factors for depression. Results: In the individual level, female gender and smokers had significantly higher odds ratios (ORs) for depression of 1.58 and 1.72, respectively. Subjects with economic activity, higher income and higher education had significantly lower ORs of 0.53, 0.41 and 0.66. In the regional level, higher greening rates and lower levels of PM2.5 had statistically lower ORs at the significance level of 10%. Conclusion: By conducting this study, risk factors associated with depression were identified in individual- and regional-level. This study suggests that health projects are needed to control regional level risk factors including community networks for mental health management in addition to the traditional individual level risk factors.

• The Journal of Bigdata
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• v.9 no.1
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• pp.17-30
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• 2024

This study categorizes the factors that affect the intention to continue using ChatGPT into positive motivational factors (personalization, social influence) and negative motivational factors (privacy concern, perceived risk) and investigates whether they affect the intention to continue using ChatGPT through information trust, performance expectancy, and effort expectancy. To this end, a survey was conducted among 265 adults in their 20s and above who have used ChatGPT service. The results showed that personalization and social influence had a defining effect on information trust, performance expectancy, and effort expectancy. For privacy concern, we found a negative effect of wealth on performance expectations, but not on effort expectations. Perceived risk had a negative effect on performance expectancy and effort expectancy. In addition, information trust, performance expectancy, and effort expectancy have a defining effect on continuance intention. This study extends the scope of existing research that focuses on positive factors, deepens our the understanding of ChatGPT. It also provides useful suggestions for continued use of ChatGPT.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.6
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• pp.161-167
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• 2010

Social individualized broadcasting increases rapidly in an environment that combines communication and broadcasting. Real-time individualized broadcasting is a service that is provided by multiple individuals to many and unspecified persons. In contrast, newly introduced individualized broadcasting service is a service that has not been experienced socially and culturally and therefore many problems are expected. The newly emerging real-time individualized broadcasting service may bring about various dysfunctions as well as desirable functions. Establishment of guideline and its implementation based in vulnerability analysis are necessary to prevent the expected dysfunctions and reinforce the desirable functions. Therefore, the purpose of this paper is to examine dysfunctions of the information-oriented society which threaten cyber-norms, cyber-morality, cyber-dangers, cyber-democracy, etc. at the level of social individualized broadcasting service and to propose appropriate guidelines. Through this paper, first, future changes of dysfunctions of the information-oriented society due to individualized broadcasting service can be forecast, and countermeasures and policy directions can be proposed. Second, Dysfunctions of ICT-based service that may emerge in individualized broadcasting service can be forecast and correct guideline can be prepared to reduce potential dangers and increase desirable functions of the service. This paper will analyze in various aspects the characteristics of a new media with the focus on individualized broadcasting service among the new ICT-integrated services, and forecast the appearance and aggravation of the dysfunctions and then draw the guideline.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.1
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• pp.111-117
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• 2017

The purpose of forecasting the traffic accident is to reduce the traffic accident. Therefore, the goal of this study is to provide severity of the accident by Forecasting of Probability of Accident. In Korea, accident data are distributed to the public via internet that includes numbers of accident and fatality as well. And crude level of accident severity in accordance with weather information for metropolitan city level are available by weekly. However, It can not reflect personal needs at specific origin of the travel for a certain traveller. This study aims to consider 68 major intersections with precipitation data, and eventually introduces link based accident severity. In estimating the accident severity both dynamic data such as drivers' characteristics, driving conditions and static data such as geometry of road, intersection characteristics are considered. Also, we identifies accident severity according to the accident type - 'vehicle to vehicle,' 'vehicle to person.' Finally, the outcomes of this study suggests taylor-made accident severity information for a specific traveller for a certain route.

• The Korean Journal of Applied Statistics
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• v.12 no.1
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• pp.143-152
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• 1999

본 논문에서는 응답자가 민감한 속성을 가지고 있지 않으면 직접 "예"라고 응답하고, 민감한 속성을 가지고 있으면 Greenberg et al.(1969)의 무관질문모형의 확률장치를 이용하여 선택된 질문에 응답을 하는 새로운 무관확률화응답모형을 제안하였다. 그리고, 제안한 모형이 Mangat(1994)의 관련질문모형보다 효율적인 되는 조건을 제시하였고, 수치적으로 효율성을 비교하였다. 또한, Leysieffer와 Warner(1976)의 위험함수와 Flinger et al.(1977)의 사생활 보호 측도를 이용하여 제안한 모형이 Mangat의 관련질문모형에 비하여 개인의 사생활을 보호해 주는 측면에서 더 효율적임을 보였다.효율적임을 보였다.