1. Objectives This study is to investigate the relationship between type A behavior pattern(TABP) and diabetes according to Sasang Constitution. 2. Methods 162 persons(81 IGM persons vs 81 normal persons) out of 666 persons, more than 40 years old, who participated the community based cohort in Wonju City of South Korea from July 2nd to August 30th in 2006, were randomly selected and analyzed. Framingham Type A score, Social Support index, glucose related laboratory results were measured and analyzed according to Sasang Constitution. 3. Results Soeumin in IGM group had significantly high scores in FTA scales compared with Soyangin and Taeeumin, bur in female IGM group and normal group there was no significant difference in FTA scales and TABP frequency by Sasang Constitution. There was no significant difference in social support index in IGM and normal group by Sasang Constitution. There was no significant difference in glucose-related values between TABP/TBBP in IGM group and normal group. Soyangin in female IGM group had significantly high values in insulin(fasting) and HOMA-IR in TABP group, Soeumin group had significantly high values in FBS in TABP group. According to binary logistic regression analysis for IGM, Sasang Constitution was a significant risk factor and the ORs of Taeeumin and Soyangin were significantly higher than that of Soeumin. Social Support index was significantly higher only in female group. 4. Conclusions Adequate questionnaire of TABP for our country or a research of another subjects are needed. And Sasang Constitution is thought to be the reasonable intervention to control diabetes in terms of prevention, treatment and regimen.
Proposed in the paper is an agent based and object-oriented methodology to create a virtual logistics support system model. The proposed virtual logistics support system model consists of three types of objects: the logistics force agent model(static model), the military supplies transport manager model(function model), the military supplies state manager model(dynamic model). A logistic force agent model consists of two agent: main function agent and function agent. To improve the reusability and composability of a logistics force agent model, the function agent is designed to adapt to different logistics force agent configuration. A military supplies transport manager is agent that get information about supply route, make decisions based on decision variables, which are maintained by the military supplies state manager, and transport military supplies. A military supplies state manager is requested military supplies from logistics force agent, provide decision variables such as the capacity, order of priority. For the implementation of the proposed virtual logistics force agent model, this paper employs Discrete Event Systems Specification(DEVS) formalism.
Objectives: This study aimed to investigate life stressors and mitigating factors affecting suicide ideation amongst university students in Korea. Methods: Study participants were recruited online from one of the universities in Seoul. The total of 794 samples were included in the final dataset. First, correlation analyses were performed among life stressors, depression and mitigating factors. Second, factorial analysis was conducted to explore different dimensions of he life stressors experienced by the university students. Finally, we used logistic regression to find out the relationship between university students' sub-stressors or mitigating factors, and suicide ideation. Results: Three sub-stressors were identified - interpersonal relationship stress, academic stress and economic stress. All of these stressors were significantly associated with suicide ideation. However, none of them significantly predicted suicide ideation controlling for depression. All mitigating factors - health related behaviors, social support and leisure activities - were statistically significant and negatively related to depression, yet only social support had a significantly negative association with suicide ideation. Conclusions: In conclusion, Social support is the most important factor which may affect suicide ideation among university students in Korea.
Proceedings of the Korea Inteligent Information System Society Conference
/
2005.11a
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pp.241-250
/
2005
New product development (NPD) is defined as the transformation of a market opportunity and a set of assumptions about product technology into a product available for sale. Managers charged with project selection decisions in the NPD process, such as go/no-go choices and specific resource allocation decisions, are faced with a complicated problem. Therefore, the ability to develop new successful products has identifies as a major determinant in sustaining a firm's competitive advantage. The purpose of this study is to develop a new evaluation model for NPD project selection in the high -tech industry using support vector machines (SYM). The evaluation model is developed through two phases. In the first phase, binary (go/no-go) classification prediction model, i.e. SVM for high-tech NPD project selection is developed. In the second phase. using the predicted output value of SVM, feasibility grade is calculated for the final NPD project decision making. In this study, the feasibility grades are also divided as three level grades. We assume that the frequency of NPD project cases is symmetrically determined according to the feasibility grades and misclassification errors are partially minimized by the multiple grades. However, the horizon of grade level can be changed by firms' NPD strategy. Our proposed feasibility grade method is more reasonable in NPD decision problems by considering particularly risk factor of NPD in viewpoints of future NPD success probability. In our empirical study using Korean NPD cases, the SVM significantly outperformed ANN and logistic regression as benchmark models in hit ratio. And the feasibility grades generated from the predicted output value of SVM showed that they can offer a useful guideline for NPD project selection.
Objectives: Young mothers are vulnerable to postpartum depression due to role transition-related stress. Understanding the causes underlying these stressors is essential for developing effective interventions. Methods: This study analyzed the 2018 Indonesian Basic Health Research data. The Mini International Neuropsychiatric Interview was used to assess postpartum depression symptoms in mothers aged 15-24 years with infants aged 0-6 months. In 1285 subjects, the risk factors for postpartum depression were evaluated using multivariate logistic regression. Results: The overall prevalence of depression in the 6 months postpartum was 4.0%, with a higher prevalence in urban areas (5.7%) than in rural areas (2.9%). Urban and rural young mothers showed distinct postpartum depression risk factors. In urban areas, living without a husband (odds ratio [OR], 3.82; 95% confidence interval [CI], 1.24 to 11.76), experiencing preterm birth (OR, 4.67; 95% CI, 1.50 to 14.50), having pregnancy complications (OR, 3.03; 95% CI, 1.20 to 7.66), and having postpartum complications (OR, 5.23; 95% CI, 1.98 to 13.80) were associated with a higher risk of postpartum depression. In rural areas, postpartum depression was significantly associated with a smaller household size (OR, 3.22; 95% CI, 1.00 to 10.38), unwanted pregnancy (OR, 4.40; 95% CI, 1.15 to 16.86), and pregnancy complications (OR, 3.41; 95% CI, 1.31 to 8.88). Conclusions: In both urban and rural contexts, postpartum depression relates to the availability of others to accompany young mothers throughout the postpartum period and offer support with reproductive issues. Support from the family and the healthcare system is essential to young mothers' mental health. The healthcare system needs to involve families to support young mothers' mental health from pregnancy until the postpartum period.
Yasin, Siti Munira;Isa, Mohamad Rodi;Fadzil, Mohd Ariff;Zamhuri, Mohammad Idris;Selamat, Mohamad Ikhsan;Ruzlin, Aimi Nadira Mat;Ibrahim, Nik Shamsidah Nik;Ismail, Zaliha;Majeed, Abu Bakar Abdul
Asian Pacific Journal of Cancer Prevention
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v.17
no.1
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pp.275-280
/
2016
Background: A tobacco-free workplace policy is identified as an effective means to reduce tobacco use and protect people from second-hand smoke; however, the number of tobacco-free policies (TFP) remains very low in workplaces in Malaysia. This study explored the factors affecting support for a tobacco-free policy on two healthcare campuses in Malaysia, prior to the implementation of TFP. Materials and Methods: This cross-sectional study was conducted among 286 non-smokers from two healthcare training centres and two nearby colleges in Malaysia from January 2015 to April 2015. A standardized questionnaire was administered via staff and student emails. The questionnaire collected information on sociodemographic characteristics, support for a tobacco-free policy and perceived respiratory and sensory symptoms due to tobacco exposure. Bivariate and multivariate logistic regression analyses were performed to estimate the independent effects of supporting a tobacco-free campus. Results: The percentage of individuals supporting completely tobacco-free facilities was 83.2% (N=238), as opposed to 16.7% (N=48) in support of partially tobacco-free facilities. Compared to the supporters of partially tobacco-free facilities, non-smokers who supported completely tobacco-free health facilities were more likely to be female, have higher education levels, to be very concerned about the effects of other people smoking on their health and to perceive a tobacco-free policy as very important. In addition, they perceived that tobacco smoke bothered them at work by causing headaches and coughs and, in the past 4 weeks, had experienced difficulty breathing. In the multivariate model, after adjusting for sociodemographic characteristics and other factors, only experiencing coughs and headaches increased the odds of supporting a completely tobacco-free campus, up to 2.5- and 1.9-fold, respectively. Conclusions: Coughs and headaches due to other people smoking at work enhances support for a completely tobacco-free campus among non-smokers.
Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.6
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pp.219-230
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2018
This study was conducted to identify factors influencing depression symptoms among college students. To accomplish this, a self-administered questionnaire was distributed to 546 college students from October 1st to November 30th, 2015. Univariate analysis, logistic regression, and multivariate regression analysis between variables were then conducted using depression symptoms as the dependent variable and other relevant factors as independent variables. The level of depression among the subjects differed significantly according to personal attributes, family life and school life characteristics, as well as health related behavioral characteristics. The risk of depression was significantly higher in the lower group than the higher group of family and friends social support, the lower group than the higher group of self-esteem, the lower group than the higher group of locus of control, and in the high risk stress group than the normal stress group. Factors influencing depression symptoms included religion, social support from family, social support from friends, interpersonal dependency, locus of control, and stress were identified as significant variables, indicating that depression among college students is related to diverse elements including sociodemographic characteristics, social support from family/friends, interpersonal dependency, locus of control, and stress. Depression symptoms significantly increased when social support from family or friends, low psychological behavior characteristics are low, and when stress is high. Thus, it is necessary to understand factors related to depression and reduce them to decrease depression levels of college students.
Journal of the Korea Academia-Industrial cooperation Society
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v.16
no.8
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pp.5314-5324
/
2015
The present study was intended to measure the relationship between job stress and job satisfaction among nurses working for a general hospitals. The self-administered questionnaires were given to 312 nurses during the period from February 25 to March 16, 2013. As a results, the level of job satisfaction of subjects was significantly lower in high group than low group in job demand, but it was significantly lower in low group than high group in job control, supervisor support and coworker support. In correlations, job satisfaction were found to be in a negative correlation with job demand, whereas in positive correlation with job control, supervisor and coworker support. In logistic analysis, the odds ratio of job satisfaction on job demand were significantly increased in the high group than in low group, but job control supervisor and coworker support were significantly decreased in the high group than in low group. In hierarchial multiple regression analysis, the affecting factors to the job satisfaction was selected variables such as educational background, work station, subject satisfaction of work, career choice motives, turnover experience, job stress contents(job demand, job control, supervisor support and coworker support). especially, job stress contents was significantly increased of explanatory power of job satisfaction. It suggested that the level of job satisfaction got more power by addition of job stress contents.
Objectives: The goal of this study was to investigate the relationships between proximity to an industrial complex and blood lead levels and urinary cadmium levels. Methods: We conducted a questionnaire survey and analyzed blood lead and urinary cadmium levels using Atomic Absorption Spectrometry (AAs). Data was analyzed using logistic regression analysis. All statistical analyses were conducted with SAS software version 9.2. The distance between the residence and an industrial complex was calculated through a Geographical Information System (GIS). Results: A total of 967 residents living near a large petrochemical complex in Ulsan participated. The geometric mean levels of blood lead and urinary cadmium were $1.70{\mu}g/dl$ (male: $1.77{\mu}g/dl$, female: $1.67{\mu}g/dl$), and $0.72{\mu}g/g$ creatinine (male: $0.49{\mu}g/g$ cr. female: $0.89{\mu}g/g$ cr.), respectively. Blood lead and urinary cadmium levels both increased with age and were higher among smokers compared to never smokers. Both significantly showed a decreasing trend with rising income. Results from multiple logistic regression analysis showed that urinary cadmium levels for subjects aged less than 20 years old were negatively associated with distance from the industrial area to the residence. The results, however, indicated that the blood lead levels were positively associated with the distance. Conclusions: The results of this study support that proximity to an industrial complex is related to urinary cadmium values for children. A positive finding with blood lead can be explained by the ambiguity of lead exposure sources in the general environment.
This study was done to identify the significant convergence factors of affecting depression of elderly women in rural area. A total of 161 elderly women aged 65 and over were collected and data were analyzed using multiple logistic regression with SPSS/WIN 21.0. The result indicated that 42.9% of participants were depressed. In logistic regression, significant factors of depression were age(p<.001, OR=1.146), economic status (p=.004, OR=.123), number of family member living together (p=.013, OR=.020), number of social activities (p=.012, OR=.436), number of disease diagnosed (p<.001, OR=3.847), visual function (p=.023, OR=3.867), family support (p=.048, OR=.707), which accounted for 68.6% of the variance. The results of this study can contribute to develop various convergence strategies to prevent the prevalence of depression of elderly women in rural area. Further studies are needed to confirm the level of contribution of visual disability to depression in rural older women.
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