• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.4
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• pp.1279-1287
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• 2014

The purpose of this study is to develop the U-turn accident model at signalized intersections in urban areas. The characteristics of the accidents which are associated with U-turn operation at 3 and 4-legged signalized intersections was analyzed and the U-turn accident model was developed by regression analysis in Changwon city. First, in order to analyze the effectiveness on traffic accidents by U-turn installation, the difference of mean of traffic accident number are measured between two groups which are composed by whether or not U-turn installation the groups by Mann-Whitney U test. The result of significance test showed that intergroup comparison on mean by accident types made difference except rear-end accident type and by accident locations exit section only showed difference in significance level at 4-legged intersections, so the accident number have more where the U-turn is permitted than not. Response measures about the number of accidents were classified by whether accidents occurred and accident model were constructed using binomial logistic regression analysis method. The developed models show that the variables of conflict traffic, number of opposing lane are adopted as independent variable for both intersections. The variables of longitudinal grade for 3-legged signalized intersection and number of crosswalk for 4-legged signalized intersection at which the U-turn is permitted is adopted as independent variable only. These study results suggest that U-turn would be permitted at the intersection where the number of opposing lane is more than 3.5 each, the longitudinal grade of opposing road is upward flow and there is need to establish the U-turn traffic sign at signalized intersections.

• Journal of Korean Society of Forest Science
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• v.107 no.4
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• pp.402-411
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• 2018

This study was conducted to develop ingrowth estimation equations on Pinus densiflora found in Gangwon Province and in the center of Korean Peninsula, based on the National Forest Inventory (NFI)'s permanent sampling plot data. For this study, identical sampling plots in $5^{th}$ and $6^{th}$ NFI data were collected in order to identify ingrowth amounts for the last 5 years. Following two-stage approaches in developing the ingrowth estimation equations, the logistic regression model was used in the first stage to estimate the ingrowth probability. In the second stage, regression analysis on sampling plots with ingrowth occurrence was used to estimate the ingrowth amount. A candidate model was finally selected as an optimal model after a verification based on three evaluation statistics which include mean difference (MD), standard deviation of difference (SDD) and standard error of difference (SED). In results, a logistic regression model based on the number of sampling plot which did not result in ingrowth (model VI), was selected for an ingrowth probability estimation equation and exponential function including the species composition (SC) variable was optimal for an ingrowth estimation equation (model VII). The ingrowth estimation equations developed in this study also evaluated the estimation ability in various forest stand conditions, and no particular issue in fitness or applicability was observed.

• Korean Journal of Health Education and Promotion
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• v.29 no.2
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• pp.93-105
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• 2012

Objectives: The objective of the study was to examine the clustering patterns and correlates of multiple health behaviors (MHBs) in middle-aged Koreans with metabolic syndrome (MetS). Methods: Data on sociodemographics, clinical characteristics, health behaviors (vegetable intake, physical activity, cigarette smoking, and alcohol consumption), and psychological characteristics were collected by a self-reported survey and medical examination from 331 individuals with MetS. Clustering of MHBs was examined by measuring 1) the ratios of observed and expected prevalence of MHBs, and 2) the prevalence odds ratios. A binomial logistic regression were conducted. Results: Men were more likely than women to engage in multiple unhealthy behaviors. Clustering of smoking and heavy drinking was exhibited in the participants. Women with high vegetable intake were more likely to be physically inactive, and those with inadequate vegetable intake were more likely to be physically active. Those with lower self-regulation were more likely to engage in unhealthy behaviors. Conclusions: The findings support the multiple health behavior approach as opposed to the individual health behavior approach. Emphasis of self-regulation is necessary in developing multiple behavior intervention for individuals with MetS.

• Journal of muscle and joint health
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• v.23 no.2
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• pp.125-137
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• 2016

Purpose: The purpose of this study was to identify the influences of hospital employees' daily life posture habits and work-related factors upon musculoskeletal subjective symptoms. Methods: This study was a descriptive survey study. Data were collected using structured a self-report questionnaire between April 1 and May 31, 2015. One hundred and ninety two employees were recruited in three hospitals. The collected data were analyzed using descriptive statistics, ${\chi}^2$ test, t-test, and binomial logistic regression. Results: The habit of leaning on one side and the habit of bending the back in an improper posture are key postures based on lifestyle affecting musculoskeletal subjective symptoms in neck, shoulders, arms, waist, and legs. Labours accompanying repeated arm movements for a long time are key work-related risk factors affecting musculoskeletal subjective symptoms in arms. Conclusion: The results of this study confirmed that, to prevent musculoskeletal diseases, it is necessary to identify and mediate personal factors like daily life posture habits as well as work-related risk factors. They may be utilized as basic materials for education of musculoskeletal health promotion and development of life guidance programs.

• Journal of the Korean Data and Information Science Society
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• v.17 no.4
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• pp.1349-1364
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• 2006

An analytic approach that provides explicit estimates of risk on cataract and epilation data is evaluated by reasonableness of conceivable relative risk models regarding a simple, odds, logistic or Gompertz regression method, assuming a binomial distribution. In these analyses, we apply relative risk models with two thresholds between epilators and nonepilators from a highly characteristic lesion of which radiation cataract does not occur around 2 gray for a single acute exposure. The risk models are fitted to the data assuming 10 as a constant relative biological effectiveness of neutron. The likelihood of observing the entire data set in these models fitted is evaluated by an individual binary-response array. Estimation of a threshold with or without severe epilation and the 100 ($1-\alpha$)% confidence limits are derived from the maximum likelihood approach. The relative risk model with two thresholds can be expressed as a formula with structure of Background $\times$ RR, where RR includes threshold models with or without epilation. The radiosensitivity of ionizing radiation to cataracts has been examined for the relationship between epilators and nonepilators.

• Health Policy and Management
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• v.24 no.4
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• pp.330-341
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• 2014

Background: The purpose of this study is to investigate the factors that affect the participation of union members who involved in the Korean health cooperatives. Methods: Questionnaires were collected from 1,041 respondents who voluntarily participated in seven health cooperatives. In order to verify the hypothesis, collected data were analyzed using binomial logistic regression. Results: Longer tenure, higher collective motive, organizational age were associated with types of participation. In operative participation, marital status, higher reward motive, better accessibility to the cooperatives influenced concern about the high-level participation. Organizational age were associated with the high-level participation in management participation. Longer tenure, interaction with staff, management participation were involved in additional investment. Conclusion: This is the first study to statistically prove that the influencing factors on the participation in the health cooperatives. Based on these findings, the provision of differentiated strategies should be useful for increase of participation.

• Journal of Korean Academy of Nursing
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• v.42 no.2
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• pp.199-206
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• 2012

Purpose: This study was done to identify the impact of physical activity on healthcare utilization among Korean adults. Methods: Drawing from the 2008 Korean National Health and Nutrition Examination Survey (NHANES IV-2), data from 6,521 adults who completed the Health Interview and Health Behavior Surveys were analyzed. Association between physical activity and healthcare utilization was tested using the $X^2$-test. Multiple logistic regression analysis was used to calculate the odds ratios of using outpatient and inpatient healthcare for different levels of physical activity after adjusting for predisposing, enabling, and need factors. A generalized linear model applying a negative binomial distribution was used to determine how the level of physical activity was related to use of outpatient and inpatient healthcare. Results: Physically active participants were 16% less likely to use outpatient healthcare (OR, 0.84; 95% CI, 0.74-0.97) and 23% less likely to use inpatient healthcare (OR, 0.77; 95% CI, 0.63-0.93) than physically inactive participants. Levels of outpatient and inpatient healthcare use decreased as levels of physical activity increased, after adjusting for relevant factors. Conclusion: An independent association between being physically active and lower healthcare utilization was ascertained among Korean adults indicating a need to develop nursing intervention programs that encourage regular physical activity.

• Journal of Families and Better Life
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• v.28 no.6
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• pp.59-69
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• 2010

This study is to understand the determinants affecting women's fertility behavior (additional fertility plan) using the Korean Longitudinal Survey of Women & Families of 2007. Patterns of married women's life courses are divided into five groups depending on family role and economic activity: family-centered (no work experience) type, latent M type, M type, work-family reconciliation type, and first job entry type. This study performs a binomial logistic regression analysis and the key findings from the study are summarized as follows. First, five distinctive patterns show the different composition: family-centered type (4.5%), latent M type (69.6%), M type (10.4%), work-family reconciliation type (7.4%), and first job entry type (8.1%). Second, socio-economic characteristics, husband characteristics, and value characteristics are statistically significant to additional fertility behavior ; however, institutional character is not significant. Finally, significant factors affecting additional fertility plans vary in different patterns of life courses. Based on these results, this study suggests some policy implications and future research directions.

• Journal of Korean Society of Rural Planning
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• v.20 no.4
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• pp.101-112
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• 2014

The public value of agriculture and rural areas is closely associated with the concept of multifunctionality of agriculture and rural areas, which in turn signifies economic values other than the production function of agriculture and rural areas. Based on the survey results, virtual scenarios were set up and the contingent valuation method (CVM) was used to estimate the amount consumers are willing to pay (WTP) for the public functions of agriculture and rural areas. This study selected five domains of the public value (environment conservation, maintenance of landscape and cultural tradition, enhancement of national prestige, local community maintenance and socio-economic functions, and food security) and 21 value items as components of the public value. An economic assessment of the public value of agriculture and rural areas was conducted using a binomial logistic regression model. The estimation results showed that the public value consumers are willing to pay ranges from a minimum of 6,346.8 billion won to a maximum of 9,327.2 billion won.

• Journal of the Korean Society of School Health
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• v.31 no.3
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• pp.135-145
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• 2018

Purpose: The study aimed to investigate the factors associated with long hours of smartphone usage and to identify the characteristics of the high-risk group among female middle school students in South Korea. Methods: The study analyzed the data of 13,648 female middle school students using their own smartphone extracted from the 13th Youth Health Behavior Online Survey (2017). The factors related to using smartphones for a long time was analyzed by binomial logistic regression. The characteristics of the high-risk group was defined by a decision tree analysis. Results: The average hours spent on smartphone usage was 269.54 minutes per day. The significant factors associated with the long hours of smartphone usage were grade, living with parents, perceived household economic status, perceived academic achievement, stress, sadness and hopelessness, the main purpose of smartphone usage, drinking, body mass index, breakfast, and satisfaction with sleep quality. The subjects showing low academic performance and having breakfast four times a week or less were more likely to use their smartphone for a long time. Conclusion: Based on the results of the research, we need to establish intervention strategies focusing on the factors influencing long-time usage of smartphone. Particularly, the subjects who show poor academic performance and skip breakfast frequently should be considered as the high-risk group for spending long hours on smartphone usage.