• Title/Summary/Keyword: multinomial logistic analysis

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Factors associated with Obesity among Korean Adolescents based on the Seventh Korea National Health and Nutrition Examination Survey (2016)

  • Koo, Hyun Young;Lee, Eun Kyung
    • Child Health Nursing Research
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    • v.25 no.1
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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.

Spatiotemporal Analysis of Ship Floating Object Accidents (선박 부유물 감김사고의 시·공간적 분석)

  • Yoo, Sang-Lok;Kim, Deug-Bong;Jang, Da-Un
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.7
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    • pp.1004-1010
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    • 2021
  • Ship-floating object accidents can lead not only to a delay in ship's operations, but also to large scale casualties. Hence, preventive measures are required to avoid them. This study analyzed the spatiotemporal aspects of such collisions based on the data on ship-floating object accidents in sea areas in the last five years, including the collisions in South Korea's territorial seas and exclusive economic zones. We also provide basic data for related research fields. To understand the distribution of the relative density of accidents involving floating objects, the sea area under analysis was visualized as a grid and a two-dimensional histogram was generated. A multinomial logistic regression model was used to analyze the effect of variables such as time of day and season on the collisions. The spatial analysis revealed that the collision density was highest for the areas extending from Geoje Island to Tongyeong, including Jinhae Bay, and that it was high near Jeongok Port in the West Sea and the northern part of Jeju Island. The temporal analysis revealed that the collisions occurred most frequently during the day (71.4%) and in autumn. Furthermore, the likelihood of collision with floating objects was much higher for professional fishing vessels, leisure vessels, and recreational fishing vessels than for cargo vessels during the day and in autumn. The results of this analysis can be used as primary data for the arrangement of Coast Guard vessels, rigid enforcement of regulations, removal of floating objects, and preparation of countermeasures involving preliminary removal of floating objects to prevent accidents by time and season.

Segmentation and Characteristic Analysis of Urban Farmers Behavior (도시농업 활동 유형화 연구)

  • Hwang, Jeong-Im;Choi, Yoon-Ji;Jang, Bo-Gyung;Rhee, Sang-Young
    • The Korean Journal of Community Living Science
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    • v.21 no.4
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    • pp.619-631
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    • 2010
  • The purpose of this study is to segment and examine urban farmers behavior by applying a two-step cluster analysis and multi-nominal logit model. The data were collected by a telephone survey with two-staged stratified random sampling in the cities around the country for the purpose of acquiring representative data. Respondents were asked to describe their awareness of urban agriculture, their agricultural activity, and sociodemographic characteristics. Among 2,000 cases, 381 cases(19.1%) which were of participants in urban agriculture were analysed in SPSS. From the findings, 27.3% of respondents had heard the word 'urban agriculture', and 25.5% of them regarded themselves as urban farmers. Four different clusters were derived from two-step clusters based on motive, place, companion, area and hours. They were 'Large scale hobby farming(cluster 1)', ‘Weekend farm/ hobby farming(cluster 2)', 'Land/ Self-supporting farming(cluster 3)', and 'Small scale hobby farming(cluster 4)'. The result of multinomial logistic regression showed that there were significant differences among these four segmented groups in terms of age, city size and housing type. In other words, there is quite a possibility that urbanites select different urban farming types according to their socio-demographic profiles. Therefore, the urbanite profiles can be used as the basis for promoting policy of several urban agriculture types. According to the result, policy directions for facilitating urban agriculture were presented.

Relationship between Psychological and Physical Disability and Nutrient Intake in the Elderly -The 8th Korea National Health and Nutrition Examination Survey- (고령자 심리 및 신체장애와 영양소 섭취와의 관계 -제 8기 국민건강영양조사 자료 이용-)

  • Jeong-Mi Park;Dah-Sol Kim;Nami Joo
    • Journal of the Korean Dietetic Association
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    • v.29 no.4
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    • pp.248-260
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    • 2023
  • This study provides basic data when planning nutrition support for healthy aging by revealing the relationship between various symptoms in the elderly and nutrient intake. From the 8th National Health and Nutrition Examination Survey, data from senior citizens aged 65 years or older in 2021 were used, and answers on the depression prevalence, activity restrictions, complaints of discomfort when chewing, and nutrient intake were analyzed through SPSS multiple logistic regression analysis. In the case of depression, there was a significant effect on the intake of four of the 20 nutrients (water, protein, cholesterol, and vitamin E). When experiencing activity restrictions, the intake of eight of the 20 nutrients (phosphorus, magnesium, vitamin A, vitamin D, beta-carotene, retinol, thiamine, and niacin) was affected. When experiencing chewing discomfort, the intake of three of the 20 nutrients (fat, magnesium, and vitamin E) was affected. Elderly people who suffer from depression, activity restrictions, and discomfort with chewing are at risk of various nutrient deficiencies, and related studies need to be conducted.

Analysis on the Effect of Dietary Lifestyle on Consumption Pattern of Soybean Paste among Housewives (주부들의 식생활 라이프스타일이 된장 소비 행동에 미치는 영향)

  • Kim, Hyo-Chung;Kim, Mee-Ra
    • Culinary science and hospitality research
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    • v.16 no.3
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    • pp.76-93
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    • 2010
  • This study analyzed the dietary lifestyle among housewives and found out the effect of dietary lifestyle on consumption pattern of soybean paste. Data were collected from 312 housewives living in Gyeongnam region through a self-administered questionnaire. According to the result of the factor analysis, dietary lifestyle were categorized into five factors: health-seeking type, convenience-seeking type, safety-seeking type, popularity-seeking type, and taste-seeking type. About thirty-five percent of the respondents knew the way how to prepare soybean paste while nineteen percent did not. There were significant differences in awareness regarding how to prepare soybean paste according to healthy-seeking lifestyle, convenience-seeking lifestyle, safety-seeking lifestyle, and popularity-seeking lifestyle. Thirty-seven percent of the respondents obtained soybean paste from family or relatives, whereas twenty-six percent made it at home. The result of the multinomial logistic regression analysis showed that the factors affecting the ways of obtaining soybean paste were age, monthly household income, employment status, coresidence with parent(s), husband's parent(s), or older relative(s), dwelling types, healthy-seeking lifestyle, convenience-seeking lifestyle and safety-seeking lifestyle.

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Analysis of Attitudes and Influencing Factors on Foreign Workers (외국인 근로자에 대한 태도와 영향요인 분석)

  • Lee, Misook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.12
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    • pp.150-160
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    • 2018
  • The purpose of this study is to classify the attitudes of Korean people regarding foreign workers and to analyze the influence factors. Analysis of the attitude difference and the influential factors utilized the SPSS ${\chi}^2$ test and multinomial logistic regression analysis using 2016 data obtained from the 'Koreans' Consciousness and Values'. Socio-demographic variables, national identity, and socioeconomic variables were used as explanatory variables. The attitude types (friendly, negative, and dual) of respondents were identified, and the influence of explanatory variables influencing these attitudes was identified. Analysis found they have a relatively generous stance on granting legal rights, while they are negative regarding the economic and social threats from foreign workers. As a result of analyzing the factors affecting attitudes, there are significant differences in each influence. However, negative attitudes and dual attitude concerning with negative legal rights found common to the influence of the factors of national identity. Gender and ratio of foreign workers were influential factors for dual attitudes with a high economic threat. On the other hand, socioeconomic factors reflecting the realistic conflict theory were not found to have any effect. The negative attitude of foreign workers in our society can be regarded as cognitive threats rather than realistic experiences or conflicts.

A Study on the Application of Suitable Urban Regeneration Project Types Reflecting the Spatial Characteristics of Urban Declining Areas (도시 쇠퇴지역 공간 특성을 반영한 적합 도시재생 사업유형 적용방안 연구)

  • CHO, Don-Cherl;SHIN, Dong-Bin
    • Journal of the Korean Association of Geographic Information Studies
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    • v.24 no.4
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    • pp.148-163
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    • 2021
  • The diversification of the New Deal urban regeneration projects, that started in 2017 in accordance with the "Special Act on Urban Regeneration Activation and Support", generated the increased demand for the accuracy of data-driven diagnosis and project type forecast. Thus, this research was conducted to develop an application model able to identify the most appropriate New Deal project type for "eup", "myeon" and "dong" across the country. Data for application model development were collected through Statistical geographic information service(SGIS) and the 'Urban Regeneration Comprehensive Information Open System' of the Urban Regeneration Information System, and data for the analysis model was constructed through data pre-processing. Four models were derived and simulations were performed through polynomial regression analysis and multinomial logistic regression analysis for the application of the appropriate New Deal project type. I verified the applicability and validity of the four models by the comparative analysis of spatial distribution of the previously selected New Deal projects by targeting the sites located in Seoul by each model and the result showed that the DI-54 model had the highest concordance rate.

A Decision Tree Analysis-based Exploratory Study on the Effects of Using Smart Devices on the Expansion of Social Relationship (의사결정나무 분석을 활용한 스마트 기기의 사용이 사회관계 확대에 미치는 영향에 관한 탐색적 연구)

  • Son, Woong-Bee;Jang, Jae-Min
    • Informatization Policy
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    • v.26 no.1
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    • pp.62-82
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    • 2019
  • This study attempts to make an empirical analysis on how mobile devices affect users in building their social relationship and if their influences are negative or positive. The purpose of this research is to explain the results by considering all the possibilities and exploring everyday lives of using mobile devices. We used the survey data from the "Research on Mobile Environment Awareness" conducted by Gyeonggi Research Institute(GRI). The main question was about the use of mobile devices and social network services (SNS) and users' opinions on using the devices. All of the 31 municipalities in Gyeonggi Province were included as a spatial range, and the final validity sample was 1,004 residents. The extent of the relationship with people is selected as a dependent variable through the multinomial logistic model and the decision tree model. As a result of the multinomial logistic analysis on the questionnaire, the characteristics of the respondents with some changes in the scope of the human relationship were found to have a significant (+) effect on conversation with family, SNS usage, residence in the rural area but not urban area, and device usage for obtaining news. The largest variable affecting the extent of relationship was the SNS usage. As the amount of SNS usage increases, the extent of the relationship also changes a lot.

Determinants of Housing Down Payment Sources Among Baby Boomer Households in the U.S.

  • Lee, Yoon G.;Steele, Bonny Lewellyn
    • International Journal of Human Ecology
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    • v.8 no.2
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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.

Types of Changes in Overt Aggression and Their Predictors in Early Adolescents : Growth Mixture Modeling (초기 청소년의 외현적 공격성 변화유형과 예측요인 : 성장혼합모형의 적용)

  • Seo, Mi-Jung;Kim, Kyong-Yeon
    • Korean Journal of Child Studies
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    • v.31 no.3
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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.