• Journal of Yeungnam Medical Science
• /
• v.9 no.1
• /
• pp.54-67
• /
• 1992

The author studied the mental status of 497 patients admitted in non-psychiatric wards and 42 patients diagnosed as mental disorders by DSM-III-R criteria and admitted in three general hospitals located in Pusan city, using NADS and PSCS. The assessment were obtained from October, 1991 to March, 1992 and the results as follows: The mean ${\pm}$ SD of Anxiety-Depression scores were $34.4{\pm}10.4$ in non-psychiatric patients and $50.0{\pm}18.3$ in psychiatric patients. The psychiatric group had significantly higher scores than non-psychiatric group. The mean ${\pm}$ SD of Psychosis scores were $3.9{\pm}4.4$ in non-psychiatric patients and $20.3{\pm}9.8$ in psychiatric patients. The psychiatric group had significantly higher scores than non-psychiatric group. In the psychosocial factors, dissatisfaction in family atmosphere and acquaintanceship with parellts(P<0.001, relatively), pessimistic in future, present and past self-images(P<0.001, relatively), and yes in previous psychiatric treatment of admission(P<0.01, relatively) had common significant relationships to Anxiety-Depression and Psychosis scores. There were correlationships between NADS scores and PSCS scores(${\gamma}$ = 0.74), past and present self-images(${\gamma}$ = 0.45), present and future self images(${\gamma}$ = 0.45), past and future self-images(${\gamma}$ = 0.34) and family atmosphere and acquaintanceship with parents(${\gamma}$ = 0.49). The regression analysis revealed that present self-image, acquaintanceship with parents, future self-image, past self-image, and family atmosphere, in order of significance were to be descriptive or predicable variances for Anxiety-Depression status. The discriminant analysis according to Anxiety-Depression scores showed that the cases of incorrect classification were 22 for non-psychiatric patient group and 2 for psychiatric patient group.

• Journal of the Korean Graphic Arts Communication Society
• /
• v.26 no.1
• /
• pp.51-64
• /
• 2008

In this paper, an experiment was done where the input(scanner, digital still camera) and monitor(CRT, LCD) device used the linear multiple regression and the GOG (Gain-Offset-Gamma) characterization model to perform a color transformation. Also to color conversion method of the digital printer it used the LUT(Look Up Table), 3dimension linear interpolation and a tetrahedron interpolation method. The results are as follows. From color reappearance of digital printing case of monitor, the XYZ which it converts in linear multiple regression of input device it multiplied the inverse matrix, and then it applies the inverse GOG model and after color converting the patch of the result most which showed color difference below 5 at monitor RGB value. Also, The XYZ which is transmitted from the case input device which is a printer it makes at LAB value to convert an extreme, when the LAB value which is converted calculating the CMY with the LUT and tetrahedral interpolations the color conversion which considers the black quantity was more accurate.

• Journal of Korean Biological Nursing Science
• /
• v.21 no.4
• /
• pp.300-307
• /
• 2019

Purpose: The purpose of this study was to provide basic data on the infection prevention management program, which is one of the infectious disease control program by identifying the prevalence and risk factors of latent tuberculosis infection (LTBI) in healthcare workers. Methods: We surveyed a total of 3,046 LTBI test results, including those of 2,269 existing staff and 777 new employees. An interferon-gamma release assay (IGRA) for the diagnosis of LTBI was performed using QuantiFERON^®-TB Gold In-Tube (QFT-IT). The risk factors of LTBI were analyzed using logistic regression analysis. Results: The overall prevalence of LTBI was 16.0% (487/3,046). The prevalence of LTBI in the existing staff was 17.9% (406/2,269) and the prevalence of LTBI in new employees was 10.4% (81/777). Multivariate logistic regression analysis revealed that the risk factors of latent tuberculosis infection among the existing staff were gender, age and work period wheres, the risk factor amongst the new employees depended on their age. Conclusion: The LTBI was not related to the type of occupation and work unit. Therefore, while establishing an infection control program for the prevention of tuberculosis infection at medical institurions, institutional heads and infection control experts should encompass a policy for all the employees.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.39 no.10
• /
• pp.1459-1466
• /
• 2010

This study was performed to identify the association between the metabolic syndrome and the biochemical measurements and nutrient intakes. A total of 1,431 people (533 males, 898 females) aged over 45 years living in Andong rural area participated in this study in 2003. Plasma aspartate aminotransferase (AST), alanine aminotransferase (ALT), $\gamma$-glutamyl transferase ($\gamma$-GT) and thiobarbituric acid reactive substances (TBARS) levels in metabolic syndrome were significantly higher than those in normal group. In multiple logistic regression, those biochemical measurements were found to be positively associated with the metabolic syndrome as the adjusted odds ratios (OR) 1.839 (p<0.001) by AST, 2.302 (p<0.01) by ALT, 2.143 (p<0.001) by $\gamma$-GT, and 1.874 (p<0.001) by TBARS. We also found that the increased level of those measurements tended to be strongly associated with high triglyceride among the metabolic syndrome components. However, the nutrient intakes between the metabolic syndrome and the normal group were not significantly different. Also, we could not find any nutrient intakes significantly associated with the metabolic syndrome, except high carbohydrate intake (>70% of kcal) compared to normal intake (55~70% of kcal) showed OR 0.781 (p<0.05). In analyzing the association of nutrient intakes with metabolic syndrome components, we found that the calorie intake was negatively associated with abdominal obesity (OR 0.696, p<0.05) and high fat intake (>25% of kcal) was positively associated with low HDL-cholesterol (OR 1.864, p<0.05). This study revealed that the biochemical measurements, such as plasma AST, ALT, $\gamma$-GT, and TBARS, are associated with metabolic syndrome, but considering the nutrient intakes, we suggest that further studies are needed to identify the associations.

• Journal of agricultural medicine and community health
• /
• v.23 no.2
• /
• pp.287-293
• /
• 1998

Although serum gamma-glutamyl transferase(GGT) has been widely used as a marker of alcoholic hepatic dysfunction, little is known as to behavioral correlates in the normal population. To examine the association between serum GGT activity and some behavioral factors in male rural population, data un health examination in a rural population (248 males aged 40 years and older) was analyzed Multiple linear regression and analysis of convariance were used to control the effect of confounding factors. Adjusted average differences in the level of serum GGT according to body mass index(BMI: $kg/m^2$) and alcohol intake(ml/day) were statistically significant(p=0.051 0<0.001 respectively). Serum GGT activity for BMII$\geq$25 was significantly higher than for BMI<25 in non-drinkers(p=0.007), but not significantly different in drinkers(p=0.892). Alcohol intake was significantly associated with elevated serum GGT activity for both BMI$\geq$25 and BMI<25(p<0.001, p=0.002 respectively). These findings suggest that alcohol drinking, obesity in non-drinkers are important factors associated with serum GGT in male rural population.

• Journal of Preventive Medicine and Public Health
• /
• v.54 no.6
• /
• pp.471-480
• /
• 2021

Objectives: Cadmium is widely used, leading to extensive environmental and occupational exposure. Unlike other organs, for which the harmful and carcinogenic effects of cadmium have been established, the hepatotoxicity of cadmium remains unclear. Some studies detected correlations between cadmium exposure and hepatotoxicity, but others concluded that they were not associated. Thus, we investigated the relationship between cadmium and liver damage in the general population. Methods: In total, 11 838 adult participants from National Health and Nutrition Examination Survey 1999-2015 were included. Urinary cadmium levels and the following liver function parameters were measured: alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma glutamyl transferase (GGT), total bilirubin (TB), and alkaline phosphatase (ALP). Linear and logistic regression analyses were performed to assess the associations between urinary cadmium concentrations and each liver function parameter after adjusting for age, sex, race/ethnicity, annual family income, smoking status, alcohol consumption status, physical activity, and body mass index. Results: The covariate-adjusted results of the linear regression analyses showed significant positive relationships between log-transformed urinary cadmium levels and each log-transformed liver function parameter, where beta±standard error of ALT, AST, GGT, TB, and ALP were 0.049±0.008 (p<0.001), 0.030±0.006 (p<0.001), 0.093±0.011 (p<0.001), 0.034±0.009 (p<0.001), and 0.040±0.005 (p<0.001), respectively. Logistic regression also revealed statistically significant results. The odds ratios (95% confidence intervals) of elevated ALT, AST, GGT, TB, and ALP per unit increase in log-transformed urinary cadmium concentration were 1.360 (1.210 to 1.528), 1.307 (1.149 to 1.486), 1.520 (1.357 to 1.704), 1.201 (1.003 to 1.438), and 1.568 (1.277 to 1.926), respectively. Conclusions: Chronic exposure to cadmium showed positive associations with liver damage.

• Journal of Wetlands Research
• /
• v.2 no.1
• /
• pp.49-58
• /
• 2000

The frequency analysis of annual maximum rainfall data and the derivation of probable rainfall intensity formula at Masan station are performed in this study. Based on the eight different rainfall duration data from 10 minutes to 24 hours, eight types of probability distribution (Gamma, Lognormal, Log-Pearson type III, GEV, Gumbel, Log-Gumbel, Weibull, and Wakeby distributions), three types of parameter estimation scheme (moment, maximum likelihood and probability weighted methods) and three types of goodness-of-fit test (${\chi}^2$, Kolmogorov-Smirnov and Cramer von Mises tests) were considered to find an appropriate probability distribution at Masan station. The Lognormal-2 distribution was selected and the probable rainfall intensity formula was derived by regression analysis. The derived formula can be used for estimating rainfall quantiles of the Masan vicinity areas with convenience and reliability in practice.

• Journal of the Korean Home Economics Association
• /
• v.27 no.1
• /
• pp.165-179
• /
• 1989

The purpose of this study is to examine the difference between wife and husband in the level of stress recognition and distress subsequent to the life events, and thus 5 kinds of study questions have been established for the achievement of this purpose. Data were obtained from 371 couples who resided in Seoul through Likert-Type questionaire, and Frequency, Percentage, Mean, T-Test, One Way ANOVA, Pearson ${\gamma}$ Correlation, Multiple Regression, Cronbach ${\alpha}$ Coefficient were calculated. As the result of this studay, the experiences subsequent to life events, the level stress recognition and distress was different from wife and husband, and it was generally shown that those are higher for wife rather than husband.

• Asian-Australasian Journal of Animal Sciences
• /
• v.8 no.4
• /
• pp.365-368
• /
• 1995

Lactation curves of dairy cows were generated using three models, namely; incomplete gamma function (model 1), polynomial inverse function (model 2) and non-linear regression (model 3). Secondary milk yield data of 27 cows which had completed 6 lactations were used in this study. Milk yield records (once a week) throughout the lactation and from the first three months of lactation were fitted to the models. Estimation of total milk yield by model 3 using the data once a week throughout the lactation resulted in smaller % bias and standard error than those generated from model 1 and 2. But, model 2 was more accurate in predicting the 305-day milk yield equivalent closer to actual yields with smaller bias % and error using partial records up to 3 months. Also, model 2 was able to estimate the time to reach peak yield close to the actual data using partial records and model 2 could be used as a tool to advise farmers on appropriate feeding and management practices to be adopted.

• Journal of the Korean Data and Information Science Society
• /
• v.16 no.4
• /
• pp.1017-1026
• /
• 2005

We consider the problem of modeling count data where the observation period is determined by the survival time of the individual under study. We assume random effects or frailty model to allow for a possible association between the death times and the counts. We assume that, given a random effect, the death times follow a Weibull distribution with a rate that depends on some covariates. For the counts, given the random effect, a Poisson process is assumed with the intensity depending on time and the covariates. A gamma model is assumed for the random effect. Maximum likelihood estimators of the model parameters are obtained. The model is applied to data set of patients with breast cancer who received a bone marrow transplant. A model for the time to death and the number of supportive transfusions a patient received is constructed and consequences of the model are examined.