• 대한간호학회지
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• 제53권2호
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• pp.155-166
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• 2023

Purpose: Although heated tobacco product (HTP) use among adolescents is an emerging public health problem, little is known about the frequency and quantity of HTP use. Thus, we investigated the associations between the frequency and quantity of HTP use and smoking characteristics (i.e., combustible cigarette [CC] and electronic cigarette [EC] use, and attempts to quit smoking) among CC-smoking adolescents. Methods: We analyzed nationally representative data from 2,470 Korean adolescents who were current CC smokers. To investigate our aim, we conducted multinomial logistic and logistic regression analyses. Results: We found that daily and heavier CC users had greater likelihoods of more frequent and heavier HTP use. In addition, dual users of CCs and ECs were more likely to use HTPs more frequently and heavily than CC users who did not use ECs. Moreover, daily EC users had the highest risk of frequent and heavy HTP use. The frequency and quantity of HTP use were not associated with attempts to quit smoking. Compared to CC-only use, dual use of CCs and HTPs was not associated with quitting attempts, and triple use of CCs, ECs, and HTPs was associated with a lower likelihood of quitting attempts. Conclusion: HTP use was less likely to displace CC use and promote attempts to quit smoking. Thus, strict regulations are required to prevent the promotion of HTPs as a substitute for CCs or as a means of quitting smoking. Additionally, health professionals should consider preventive interventions for HTP, as well as CC and EC use among adolescents.

• 아동학회지
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• 제37권2호
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• pp.79-94
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• 2016

Objective: This study aimed to examine the predictors of indoor play behaviors using cluster analyses. Methods: Data from 963 children (age 4 years) who participated in the $5^{th}$ phase of the Panel Study of Korean Children, their parents, and their teachers were analyzed using K-means clustering analyses, F-tests and multinomial logistic regression analyses. Results: The clustering analyses revealed three distinctive profiles: positive-theme oriented, general-exploratory/manipulative, and negative-exploratory/manipulative groups. Child characteristics, including cognition, language, and social level, and teachers' age were significantly associated with the groups in a different way; the clusters were partially different in the gender and creativity of children, interaction level of teachers' interaction, classroom environment, and program types that children attended. Conclusion: Findings revealed three clusters of play behaviors and highlighted the importance of the ecological variables that determined the clusters.

• International Journal of Human Ecology
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• 제8권2호
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• pp.17-28
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• 2007

Using data from the 2001 American Housing Survey, the purpose of this study is to profile the economic and socio-demographic characteristics of baby boomers according to housing down payment sources and to identify determinants of housing down payment sources among baby boomers. Results of the multinomial logistic regression analysis indicated that household income, housing value, age, education, gender, marital status, race, and geographic region were all significant determinants of housing down payment sources among baby boomers. Identification of factors affecting the occurrence of borrowing for housing down payment would aid in the development of financial education programs for baby boomer households.

• 아동학회지
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• 제31권3호
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• pp.83-97
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• 2010

Growth mixture modeling was used to identify types of changes in overt aggression from Grades 4 to 7 among a sample from the Korean Youth Panel Survey. Three discrete patterns were found to adequately explain changes of overt aggression in both boys and girls : Persistent intermediate aggression; Increasing aggression; and Decreasing aggression. Most boys (93%) fell into the Persistent intermediate aggression group and 49% of girls were found to fall into the Increasing aggression group. This suggests that prevention programs should recognize that girls are at risk of increasing aggression in their early adolescence. Multinomial logistic regression analysis shows that self-control, child abuse, peer support, and involvement with deviant peers at Grades 4 were all strongly associated with trajectory class membership. These associations did not differ by gender. These findings suggest that prevention programs should focus on the multiple risk factors of both boys and girls.

• 가족자원경영과 정책
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• 제19권1호
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• pp.163-180
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• 2015

The purpose of this study was to explore a typology of time allocation, investigate determinants of time allocation types, and analyze differences in time use satisfaction by the types of time use of the elderly. The data source for this research was the 2009 Time Use Survey conducted by the Korea National Statistical office (KNSO). The 4,699 time diaries (3,552 for weekday, 1,147 for Sunday) completed by the elderly over the age of 60 were analyzed using mean, standard deviation, chi-square, cluster analysis, ANOVA analysis, Duncan test, and multinomial logistic regression analysis. Time allocation of the elderly was classified into four types: personal care oriented, work oriented, leisure oriented, and balanced type. Gender, age, education, employment status, income, and the presence of spouse were identified as determinants for each type. According to the types of time allocation, time use satisfaction was different on week days.

• 지식경영연구
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• 제6권2호
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• pp.23-47
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• 2005

This study is performed the multinomial logistic regression with the officials needs level about a component of knowledge administration for drawing a demand estimation model in the knowledge administration activities. This study is not that an activity and domain of knowledge administration is to apply and to operate uniformly it in public sector, one is suggested an application with a demand diagnose of knowledge administration in order to saw a course of the knowledge administration programs to suit a function and role of public administration. A result of this study is that an activity and domain of the knowledge administration is different from a component of it namely, knowledge creating, knowledge organizing, knowledge sharing and distribution, knowledge utility, and knowledge store. And the officials individual characteristics, administration agency, a kind of business, and a function and role of work are different from demand of knowledge administration. Also, the practical use of KMS (knowledge management system) is not so high in public sector. Accordingly, the tools of knowledge administration will deliberate on a consolidation with the existing system in the device.

• Child Health Nursing Research
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• 제25권1호
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• pp.28-37
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• 2019

Purpose: This study was conducted to examine factors associated with obesity among Korean adolescents. Methods: The participants were 436 Korean adolescents aged 12~18 years who took part in the seventh Korea National Health and Nutrition Examination Survey (2016). The data were analyzed by descriptive statistics, the $x^2$ test, one-way analysis of variance, and multinomial logistic regression using complex sample analysis. Results: Among the participants, 9.7% were classified as being obese, and 11.9% as being overweight. Several health parameters, including systolic blood pressure, diastolic blood pressure, waist circumference, and triglyceride, fasting blood sugar, and alanine aminotransferase levels, varied according to obesity. Distorted perceptions of body shape showed a significant negative association with overweight, and carbohydrate intake was negatively associated with obesity. Conclusion: These findings indicate that obesity in Korean adolescents was associated with lifestyle and health parameters. Therefore, intervention programs for obese or overweight adolescents should focus on preventing them from developing health problems.

• 한국학교ㆍ지역보건교육학회지
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• 제23권2호
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• pp.65-76
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• 2022

Objectives: The purpose of this study is to investigate the factors that affect the smoking type among those who have used regular cigarettes, liquid or cigarette-type e-cigarettes. Methods: The subjects of analysis were 6,081 people who had smoked regular cigarettes or e-cigarettes. For data analysis, SPSS ver.25.0 statistical package program was used. Multinomial logistic regression analysis was performed to find out the factors affecting smoking type. Results: Factors affecting the experience of using e-cigarettes compared to regular cigarette smoking are gender and class. Academic performance, living with family members, drinking experience, and secondhand smoke in school. The factors influencing dual use compared to regular cigarette smoking were gender, class, academic performance, economic status, living with family, drinking experience, and experience of secondhand smoke in school. Smoking cessation attempts had an effect on dual use compared to regular cigarette smoking. Conclusion: Smoking cessation experience had a greater effect on e-cigarette use than regular cigarette smoking.

• Journal of Smart Tourism
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• 제2권2호
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• pp.15-19
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• 2022

Destination marketing organizations (DMOs) utilize the official website for marketing and promotional purposes, while tourists often navigate through the official website to gather necessary information for their upcoming trips. With the advancement of business analytics, DMOs may need to exploit the clickstream data generated through their official website to develop more suitable and persuasive strategic marketing and promotional activities. As such, the primary objective of the current study is to show whether clickstream data can successfully identify the trip purposes of a particular user. Using a latent class analysis and multinomial logistic regression, this study found the meaningful and statistically significant variations in webpage visits among different trip purpose groups (e.g., weekend getaways, day-trippers, and other purposes). The findings of this study would provide a foundation for more data-centric destination marketing and management practice.

• Journal of Construction Engineering and Project Management
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• 제8권2호
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• pp.17-33
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• 2018

This study investigates the stability of professionals' cost variability factor-rankings across different levels of cost-variability and response scenarios. Descriptive statistics are used to examine the stability of factor-ranking for 20 cost variability factors and a Multinomial Logistic (MNL) regression model was implemented to examine the stability of cost variability factors across three cost variability levels. The finding on the descriptive statistics indicated that professionals' factors-rankings are stable only for external factors. The MNL regression results on factor-stability suggested that 8 out of the 20 evaluated factors were unstable determinant of lower cost variability levels. These factors are "risk associated with the project", "personal bias and poor professionalism of the estimators", "limited time available to complete the project", "lack of skills and experience by estimator" "geographical location of projects", "incomplete & rush designs for estimate", "unforeseen or unexpected site constraints", "high class bidders for the contractors". Similarly lack of experience and large size projects were observed to be unstable as well. These observations suggest that professionals' view on pre-tender cost variability factor-ranking yields unstable factor rankings hence should not be relied upon as the only mechanisms to mitigate cost related risks in construction projects.