• Human Ecology Research
• /
• v.57 no.2
• /
• pp.185-199
• /
• 2019

This study examined the effects of considered attributes when purchase on consumption attitudes and consumption happiness as well as compared the effects for sensible consumption and sentimental consumption. Data was collected from 373 consumers in 20s and 30s from November 15th to 20th in 2017. IBM SPSS 25.0 was used for basic statistical analyses and for paired t-tests, and lavaan 0.6-3 package and semTools package in R 3.3.3(2017-03-06) was used for structural equation modeling. The results of this study are summarized as follows. First, there were almost no differences in product types between sentimental consumption and sensible consumption. Second, consumption attitudes toward sensible consumption were more positive than sensible consumption; however consumption happiness from sentimental consumption was higher than from sensible consumption. Third, considered attributes when making purchases were divided into subjective, objective, and symbolic with the effects of these attributes on consumption attitudes and consumption happiness analyzed by structural equation modeling. Regardless of sentimental or sensible consumption, objective selection attributes have a positive effect on consumption attitude, but subjective selection attributes have a positive effect on consumption happiness. This study implies that sentimental consumption has a positive value for contemporary consumers and that it should be counted as a feasible consumption activity to enhance consumption happiness.

• Journal of the Korean Society of Industry Convergence
• /
• v.21 no.3
• /
• pp.117-123
• /
• 2018

Continued R&D investment by the government and corporate support played a major role as the background of the rapid growth of the Republic of Korea. In 2017 of the Republic of Korea, the R&D support size of the government accounted for 19.7 trillion won, accounting for 4.7% of the government budget. Government R&D budgets are increasing by 2.5% each year. In this paper, we analyzed the outcomes of the Busan regional company support project conducted in the 2 years. For the time series analysis, we gathered company support amount by year, sales after company support, employment. We used IBM SPSS(Statistical Package for the Social Sciences) statistics 18 for correlation analysis.

• Journal of Korean Academy of Nursing
• /
• v.12 no.2
• /
• pp.91-104
• /
• 1982

This study on stressful life events and coping methods of medical patients and community people was applied to people who was divided into two groups from July 19 to Aug. 7, 1982, One is hospitalized patients in medical wards of two university hospitals in Seoul. The other is inhibitants in eight Dongs of Seoul. This study compared the number and seversity of stressful life events reported by medical patients and community people within last six months, identified coping methods used by the two groups and explored the relationship between stressful life events and coping methods. Two instruments are used in this study. The first one to measure stressful life events, is Holmes ＆ Rahe(1967)'s S.R.R.S.(Soual Readjustment Rating Scale), which is translated ＆ amended, So that it consists of 51 items. The second one is for evaluating coping method. It consists of 36 items amended through preliminary test after consideration of related literature review and survey on the basis of Bell(1877)’s‘18-item-Questionnaire.’The materials were analyzed by S.P.S.S. (Statistical Package for the Social Science) program. The results of analysis were as follows: 1. There were no significant difference in the number and severity of stressful life events reported by medical patients and community people (p>.05). 2. There were no significant difference in use of coping methods (p>.05). 3. Stressful life events showed a positive correlation with coping methods (r=.363).

• Korean Journal of Occupational Health Nursing
• /
• v.28 no.4
• /
• pp.293-299
• /
• 2019

Purpose: This study aimed to identify the factors that affect the health promotion behaviors of shift workers. Methods: Using self-administered questionnaires, data were collected between August 13th and 31st, 2018. Descriptive statistics were computed, and t-test, analysis of variance, and correlational and multiple stepwise regression analyses were conducted using International Business Machines Corporation (IBM) Statistical Package for the Social Sciences (SPSS) version 22. Results: Health promotion behaviors were significantly and positively correlated with psychological well-being (r=.491, p<.001), fatigue (r=.170, p=.030), and self-efficacy (r=.520, p<.001). Psychological well-being (${\beta}=.249$, p=.014), fatigue (${\beta}=.179$, p=.007), and self-efficacy (${\beta}=.335$, p=.001) had significant effects on health promotion behaviors and together explained 31.7% of the variance. Conclusion: A systematic educational program that enhances psychological well-being should be developed and implemented to nurture health promotion behaviors among shift workers. Additionally, an intervention program that can enhance health promotion behaviors should be implemented to improve self-efficacy and prevent fatigue among shift workers.

• Journal of Korean Biological Nursing Science
• /
• v.24 no.4
• /
• pp.235-242
• /
• 2022

Purpose: To investigate associations of perceived stress level, serum cortisol level, and telomere length of community-dwelling adults in Korea. Methods: Data of a total of 135 community-dwelling adults aged over 40 years living in D metropolitan city from December 2020 to March 2021 were collected. Perceived stress level over the past month were measured using the Perceived Stress Score. Serum cortisol level was analyzed using a chemiluminescent microparticle immunoassay. Telomere length was determined using quantitative real-time polymerase chain reaction. The statistical package SPSS 23.0 was used to perform Chi-square test, independent t-test, and Pearson's correlation coefficient analysis. Results: There was no association between perceived stress and serum cortisol level (r = .07, p= .402). Serum cortisol level was not significantly associated with telomere length either (r = -.15, p= .081). However, the higher the perceived stress level, the shorter the telomere length (r= -.29, p= .001). Conclusion: These results suggest that perceived stress might induce physiological stress, which might partially affect gene biology. Further longitudinal research is needed to investigate the effect of perceived stress on telomere length. Intervention for relieving stress should be included in stabilizing the genetic environment of adults.

• Journal of Korean Biological Nursing Science
• /
• v.26 no.2
• /
• pp.136-143
• /
• 2024

Purpose: The purpose of this study was to investigate the associations of obesity and clinical characteristics including interleukin-6 (IL-6) with hospital length of stay (LOS) in coronavirus disease-2019 (COVID-19) patients in Korea. Methods: A retrospective descriptive study design was employed to analyze medical data from a government-designated hospital in a city of Korea. Clinical data were collected from 256 patients with COVID-19 in negative-pressure isolation wards in 2021. The following parameters were analyzed: body mass index (BMI), IL-6 levels, age, sex, comorbidities, healthy habitsat the time ofadmission, and LOS. The statistical package SPSS 26.0 was used for descriptive statistics, the independent t-test, the chi-square test, and partial correlation coefficients. Results: The age of COVID-19 patients was positively correlated with BMI (r = -.16, p = .012), IL-6 levels (r = .14, p = .022) and LOS (r = .26, p < .001). Obesity, non-drinking, hypertension, and older age were associated with longer LOS. Conclusion: These results suggest that age, obesity, and hypertension in COVID-19 patients are related to LOS. Studies investigating other factors that can affect long-term hospitalization in COVID-19 patients are suggested.

• The Korean Journal of Applied Statistics
• /
• v.31 no.4
• /
• pp.517-528
• /
• 2018

We provide R scripts to detect outliers in multivariate data and visualization. Detecting outliers is provided using three approaches 1) Robust Mahalanobis distance, 2) High Dimensional data, 3) density-based approach methods. We use the following techniques to visualize detected potential outliers 1) multidimensional scaling (MDS) and minimal spanning tree (MST) with k-means clustering, 2) MDS with fviz cluster, 3) principal component analysis (PCA) with fviz cluster. For real data sets, we use MLB pitching data including Ryu, Hyun-jin in 2013 and 2014. The developed R scripts can be downloaded at "http://www.knou.ac.kr/~sskim/ddpoutlier.html" (R scripts and also R package can be downloaded here).

• Information Systems Review
• /
• v.16 no.3
• /
• pp.89-112
• /
• 2014

This tutorial presents an approach to perform the PLS structural equation modeling using the R. For this purpose, the practical guide defines the criteria for the PLS structural equation modeling by reviewing previous studies, and shows how to analyze the research model with an example using the "plspm" which is the R package for the performing PLS path analysis against the criteria. This practical guide will be useful for the study of the PLS model analysis for new researchers and will provide the knowledge base for in-depth analysis through the new PLS structural equation modeling technique using R which is the integrated statistical software operating environment for the researchers familiar with the PLS structural equation modeling.

• Journal of Oral Medicine and Pain
• /
• v.34 no.1
• /
• pp.11-21
• /
• 2009

This study was conducted to investigate the relationship between systemic diseases and oral malodor. The author measured the volatile sulfur compound(VSC) of the patients who visited Pusan National University Health Promote Center for a comprehensive medical testing. The patients were examined gingival bleeding on probing, CPI index, tongue coating. Their systemic diseases were diagnosed by the specialist. 182 patients consisted of 112 males and 70 females. In this study, Oral $Chroma^{(R)}$ was used to measure oral malodor. This equipment could measure the concentration of intraoral VSC (hydrogen sulfide, methyl mercaptan, dimethyl disulfide). All data were analylized using Statistical Package for the Social Science $12.0^{(R)}$. The result of this study was the followings. 1. There was significant difference of numbers of patient who visited health care center according to the VSC concentration level and the Community Periodontal Index, bleeding on probing, tongue coating. 2. The subjects with hyperlipidemia showed the high level of $CH_3SH$ concentration (p=0.036). The concentration of $H_2S$ tends to be high in the group with abnormal findings on pulmonary fuction test(p=0.086). The concentration of $CH_3SH$ in the groups with abnormal findings on lipid profile test(p=0.130) and bone mineral density test(p=0.099) and abdominal ultrasonograpy(p=0.088) tends to be higher than the other group. 3. The concentration of $(CH_3)_2S$ in the group with abnormal findings on blood pressure test(p=0.113), hepatitis B virus serology(p=0.069), Abdominal ultrasonograpy(p=0.091) tend to be higher than the other group.

• The Korean Journal of Applied Statistics
• /
• v.28 no.5
• /
• pp.965-976
• /
• 2015

Determining relevant variables for a regression model is important in regression analysis. Recently, a variable selection methods using a penalized likelihood with various penalty functions (e.g. LASSO and SCAD) have been widely studied in simple statistical models such as linear models and generalized linear models. The advantage of these methods is that they select important variables and estimate regression coefficients, simultaneously; therefore, they delete insignificant variables by estimating their coefficients as zero. We study how to select proper variables based on penalized hierarchical likelihood (HL) in semi-parametric frailty models that allow three penalty functions, LASSO, SCAD and HL. For the variable selection we develop a new function in the "frailtyHL" R package. Our methods are illustrated with breast cancer survival data from the Medical Center at Chonnam National University in Korea. We compare the results from three variable-selection methods and discuss advantages and disadvantages.