• Korean Journal of Child Studies
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• v.27 no.6
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• pp.249-261
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• 2006

This study investigated the influence of socio-environmental variables and cognitive variables on adolescent depression. Subjects were 494 middle and high school students of Deagu. The instrument was a self-report questionnaire; data were analyzed by t-test, stepwise multiple regression and path analysis. Among Socio-environmental variables, social support variables had a stronger effect on depression than stress. Among cognitive variables, automatic thought had a stronger effect on depression than cognitive distortion and socio-environmental variables. In path analysis, social support had a direct effect on cognitive distortion and automatic thought. Automatic thought served as a mediater of the relation between social support and depression. Although adolescent stress resulted in high depression, its effect on depression varied with the level of perceived social support.

• Journal of the Korean Society of School Health
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• v.12 no.2
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• pp.231-242
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• 1999

This study was designed to identify the relation between health beliefs and compliance with weight control behavior in obese high school students living in Chonnam province. The data were collected from May 24 to 29, 1999. The instruments used in this study were modified by the authors on the basis of the results of the study's related references. The data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's Correlation using the SAS PC+ program. The results were as follows : 1. The correlation between health concern and compliance with weight control behavior was revealed as statistically significant (r= .34, p= .005). From the correlation of variables, it is concluded that there were statistically significant relations between health concern and benefit (r= .25, p= .043), between health concern and barrier (r= .33, p= .008), between susceptibility and severity (r= .64, p= .000), between susceptibility and benefit (r= .42, p= .000), between susceptibility and barrier (r= .44, p= .003), between severity and benefit (r= .37, p= .002), between severity and barrier (r= .56, p= .000), and between benefit and barrier (r= .38, p= .002). Thus, perceived susceptibility, perceived severity, perceived benefit, and perceived barrier had an indirect influence on compliance with weight control behavior. 2. In the analysis of the relationship between general characteristics and compliance with weight control behavior and health belief variables: Sex (t=2.56, p= .010) was revealed as the influencing variable of health concern. The number of those subjects living together (F=2.88, p= .044) was revealed as the influencing variable of susceptibility. Sex (t=3.47, p= .047), income (F=1.67, p= .051) was revealed as the influencing variable of barrier. 3. In the analysis of the relationship between obese characteristics and compliance with weight control behavior and health belief variables: Perception of weight (F=9.21, p= .000), family history of obesity (t=4.89, p= 030), environment of obesity (t=14.30, p= .000) were revealed as the influencing variables of susceptibility. Perception of weight (F=4.86, p= .001), symptoms of obesity (t=4.46, p= .006), family history of obesity (t=6.59, p= .012), environment of obesity (11.30, p= .001), and reasons of weight control (F=3.07, p= .010) were revealed as the influencing variables of severity. Symptoms of obesity (F=4.15, p= .009), reasons of weight control (F=2.41, p= .046) were revealed as the influencing variables of benefit. Environments of obesity (t=4.23, p= .044) were revealed as influencing variables of barrier. These results suggest that for improvement in compliance with weight control behavior, school nurses should stimulate the students' concerns about health.

• Communications of the Korean Mathematical Society
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• v.13 no.4
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• pp.855-863
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• 1998

Some conditions on the strong law of large numbers for weighted sums of negative quadrant dependent random variables are studied. The almost sure convergence of weighted sums of negatively associated random variables is also established, and then it is utilized to obtain strong laws of large numbers for weighted averages of negatively associated random variables.

• Communications of the Korean Mathematical Society
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• v.17 no.4
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• pp.719-729
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• 2002

Consider the random n $\times$ m assignment problem with m $\geq$ $_{i,j}$ Let $u_{i,j}$ be iid uniform random variables on [0, 1] and exponential random variables with mean 1, respectively, and let $U_{n, m}$ and $T_{n, m}$ denote the optimal assignment costs corresponding to $u_{i, j}$ and $t_{i, j}$. In this paper we first give a comparison result about the discrepancy E $T_{n, m}$ -E $U_{n, m}$. Using this comparison result with a known lower bound for Var( $T_{n, m}$) we obtains a lower bound for Var( $U_{n, m}$). Finally, we study the way that E $U_{n, m}$ and E $T_{n, m}$ vary as m does. It turns out that only when m - n is large enough, the cost decreases significantly.tly.

• The Korean Journal of Rehabilitation Nursing
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• v.9 no.1
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• pp.72-80
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• 2006

Purpose: This study was conducted to examine the effect of multidimensional program on cognition, physical function and depression among institutionalized elderly and the relationship between study variables and resident's characteristics and health related variables. Method: This study involved a one group pre and post test, comparison of variables over a 12 month period. To investigate this research question, data of 114 residents of a nursing home were analyzed. Results: There was statistically significant difference in MMSE-K (t=-2.63, p=.010), ADL (t=-2.85, p=.005), and depression (t=4.66, p=.000) before and after program participation. Conclusion: These results indicate that, for a year their regular involvement in a broad spectrum of multidimensional program activities can improve in cognitive, physical and emotional perspectives, but the level of IADL decreased significantly (t=-6.72, p=.000). Further testing is required with the control group, to compare with community resident elders in order to explore the effects on social skill of elderly.

• Women's Health Nursing
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• v.3 no.2
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• pp.113-128
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• 1997

The purpose of this study was to investigate the relation between self concept and depression of middle-age women. Data were collected by a questionnaire from June 23 to July 3, 1997. The subject for this study were 138 women between 40-60 years of age living in Seoul and Incheon. The instruments used for this study were the self concept scale developed by Rosenberg and Choi, Jung-Hun and the depression scale developed by Rockliff and the investigator. The data were analyzed by descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, stepwise multiple regression using the SPSS program. The results of this study were as follows 1. Mean score of self concept was 3.58, in minimum score 2.86 to maximum score 3.99. 2. Mean score of depression scale was 1.95, in a minimum score 1.50 to maximum score 2.61. 3. The relationship between self concept and depression was statistically significant negative correlation(r=-0.5121, p<0.001). 4. General characteristics variables significantly related to the level of self concept were marital status(t=-3.22, p<0.01), experience of disease in a year(t=2.76, p<0.01), child problem(t=-2.59, p<0.05), marital satisfaction(F=6.80, p<0.05). 5. General characteristics variables significantly related to the level of depression were possession of house(t=-2.42, p<0.01), experience of disease in a year(t=-4.32, p<0.001), child problem(t=3.12, p<0.05), husband problem(t=5.29, p<0.001), marital satisfaction (F=8.36, p<0.001). 6. Obstetrical characteristics variables significantly related to the level of self concept was times of pregnancy(F=3.54, p<0.05). 7. Obstetrical characteristics variables significantly related to the level of depression were age of menarche(F=3.87, p<0.05), times of abortion(F=2.49, p<0.01) number of children(F=3.36, p<0.01). 8. In the stepwise multiple regression analysis, the main influencing variables on depression of middle aged women were self concept($R^2$=.26, p<0.001), husband problem ($R^2$=.37, p<0.001), experience of disease in a year($R^2$=.41, p<0.001) and possession of house($R^2$=.44, p<0.001).

• Nutrition Research and Practice
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• v.5 no.6
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• pp.527-532
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• 2011

ESR1 has been listed in the Human Obesity Gene Map as candidate gene associated with obesity. Thus, in this study, we investigated the effect of the ESR1 rs1884051 polymorphism on obesity-related variables, together with their modulations by dietary intake in Korean men. The obesity-related variables and dietary intake of 3,039 Korean men aged 40-59 years from KoGES database were analyzed. Body weight (P = 0.007), BMI (P = 0.003), waist-hip ratio (= 0.011), fat body mass (P = 0.010), and body fat percentage (P = 0.040) were significantly lower in subjects with the minor T allele of ESR1 rs1884051 than in subjects carrying the C allele. Moreover, the rs1884051 T allele was associated with a decreased risk of obesity prevalence (P = 0.040). Among the subjects whose total energy intake was below the median, carrier of the minor T allele of ESR1 rs1884051 had a lower BMI (P = 0.003) when compared with subjects carrying the C allele. In addition, among subjects whose plant protein intake was above the median, carrier of the minor T allele of ESR1 rs1884051 had a lower BMI (P = 0.044) compared with subjects carrying the C allele. Our findings demonstrate that there is a significant association between the ESR1 rs1884051 variant and obesity-related variables and this association can be potentially modified by dietary energy and plant protein intake.

• Journal of applied mathematics & informatics
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• v.34 no.3_4
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• pp.355-357
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• 2016

Recently, some results of Blackwell's Theorem in which interarrival times are characterized as fuzzy variables under t-norm-based fuzzy operations are discussed by Hong. However, these results are invalid. In this note, we give counter examples of these results.

• Journal of the Korean Statistical Society
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• v.29 no.4
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• pp.407-422
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• 2000

This article is concerned with the selecting predictor variables to be included in building a class of binary response t-link regression models where both probit and logistic regression models can e approximately taken as members of the class. It is based on a modification of the stochastic search variable selection method(SSVS), intended to propose and develop a Bayesian procedure that used probabilistic considerations for selecting promising subsets of predictor variables. The procedure reformulates the binary response t-link regression setup in a hierarchical truncated normal mixture model by introducing a set of hyperparameters that will be used to identify subset choices. In this setup, the most promising subset of predictors can be identified as that with highest posterior probability in the marginal posterior distribution of the hyperparameters. To highlight the merit of the procedure, an illustrative numerical example is given.

• Journal of the Korean Statistical Society
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• v.33 no.1
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• pp.99-106
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• 2004

Let {X, $X_{n}, n\;{\geq}\;1$} be a sequence of identically distributed, negatively associated (NA) random variables and assume that $│X│^{r}$, r > 0, has a finite moment generating function. A strong law of large numbers is established for weighted sums of these variables.