• The Korean Journal of Food And Nutrition
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• v.36 no.2
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• pp.153-162
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• 2023

The purpose of this study was to evaluate the effect of nutrition education on dietary knowledge, dietary attitudes, and dietary behavior of elderly by analyzing changes before and after nutrition education. This study was conducted in Seoul from March 2022 to December 2022 for 50 elderly (6 male, 44 female) who participated in nutrition education for 8 weeks at three senior welfare centers (Seodaemun, Seongbuk, Jongno). A total of 35 responses were used in the final analysis. Statistical analysis was conducted using descriptive statistics, paired t-test, and Wilcoxon's signed rank test by age, hypertension, and dislipidemia to find effect of nutrition education on their nutritional knowledge, dietary attitudes, and dietary behavior. Results showed that nutrition education had a significant effect on the elderly. In particular, for those with chronic diseases such as hypertension and dislipidemia, the difference after education was significant, indicating significant changes in dietary habits. This study is expected to provide basic data for the development of a systematic nutrition education program for the elderly in the future.

• Biomedical Science Letters
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• v.29 no.4
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• pp.355-362
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• 2023

This study aimed to determine whether smoking affects the metabolic syndrome and its components through long-term follow-up. Of the 10,030 cohort subjects in the community-based Korean Genome and Epidemiology Study (KoGES) from 2001 to 2018, 2,848 people with metabolic syndrome and 4,854 people with insufficient data for analysis were excluded for this study. The study population comprised 2,328 individuals (1,123 men, 1,205 women) who were eligible for inclusion. The mean age of the participants was 49.2±7.5 years, and 21.9% were current smoker. In log rank test, current smoker had a significantly higher cumulative incidence of metabolic syndrome compared with non smoker (P<0.001). In the Cox proportional hazards model adjusted for key variables, metabolic syndrome (hazard ratio [HR] 1.57, P<0.001), high fasting glucose (HR 1.40, P<0.01), hypertriglyceridemia (HR 1.60, P<0.001), low HDL-cholesterol (HR, 1.30, P<0.01), and abdominal obesity (HR 1.32, P<0.01) in current smoker compared with non smoker were statistically significant, respectively, but not hypertension (HR 1.00, P>0.05). After adjustment for confounders, the time (P-time<0.001) and group (P-group<0.001) effects on metabolic syndrome score change were statistically significant. Furthermore, the interaction analysis of time and smoking group on the change in metabolic syndrome score was statistically significant (P-interaction<0.001). In long-term follow-up, smoking worsens metabolic syndrome.

• Child Health Nursing Research
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• v.30 no.2
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• pp.97-107
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• 2024

Purpose: This study aimed to investigate the impact of family resilience on caregiver well-being across various age groups of children diagnosed with ADHD (attention-deficit/hyperactivity disorder) groups (0-5, 6-11, and 12-17 years). Methods: Utilizing secondary data from the 2022 US National Survey of Child Health, this cross-sectional study involved 2,752 children who were formally diagnosed with ADHD. Statistical analysis included descriptive analysis, Spearman's rank correlation, chi-square tests, and linear regression, conducted using SPSS version 27. Results: The study revealed a moderate positive correlation (r=.35, p<.001) between family resilience and caregiver well-being. Controlling for covariates, family resilience accounted for 25.2%, 21.1%, and 22.1% of caregiver well-being variance in age groups 0-5, 6-11, and 12-17 years, respectively. Additionally, factors like employment status, family structure, and caregiver age showed varying influences on caregiver well-being across these developmental stages. A consistent pattern emerged across these age groups: unemployment and non-traditional family structures were associated with negative impacts on caregiver well-being, whereas older caregiver age positively influenced well-being. Conclusion: This research underscores the importance of age-specific family resilience strategies to improve caregiver well-being and family interactions in ADHD contexts. Investigating these aspects through qualitative studies across various cultures could deepen our understanding of well-being and inform culturally sensitive interventions.

• The Journal of the Acoustical Society of Korea
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• v.29 no.8
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• pp.509-515
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• 2010

This paper presents a new method for upmixing mono signal to stereo signal with guaranteeing high stereophonic image quality (SIQ) and large apparent source width (ASW). The proposed method consists of analysis phase and synthesis phase. In analysis phase, a mono signal is first decomposed into multiple sound sources by the use of high-rank nonnegative matrix factorization. Then the multiple sources are clustered into two groups based on tonality criterion. In synthesis phase, one group is directly fed into left and right channels while the other group is decorrelated before being fed into each channel. Subjective tests reveals that the proposed method gives listener high SIQ and large ASW with minimizing timbral distortions.

• Journal of Investigative Cosmetology
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• v.14 no.3
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• pp.386-404
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• 2018

Here, we aimed to determine, using meta-analyses, the relative importance of factors influencing cosmetic purchasing behaviors. Specifically, effect sizes were compared for studies that included and excluded consumers aged in their fifties to identify and rank factors that have a major impact on the purchasing behavior of new seniors-individuals who have recently emerged as an important consumer group in the cosmetics market. To this end, 77 Korean journal articles, and masters and doctoral theses with cosmetic purchasing behavior as a dependent variable published between 2008 and 2017 were selected, and effect sizes of correlation coefficients were calculated for relevant variables. The study findings are as follows. First, the total effect size for factors influencing purchase behavior of cosmetics was slightly larger than medium and was statistically significant. Second, mediators, age, gender, item, price, and source were found to have statistically significant effect sizes. Third, for studies that included consumers aged in their fifties, user attributes and brand attributes were identified as important variables that were more influential at the purchase intention stage than the purchase stage, suggesting an age-group effect on cosmetic purchasing behavior. By identifying factors influencing cosmetic purchasing behaviors using a comparison of studies with and without consumers aged in their fifties, there appears to be significant implications for cosmetic marketing strategies aimed at new seniors.

• Fashion & Textile Research Journal
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• v.21 no.6
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• pp.754-765
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• 2019

The purpose of this study is to find out about the impact on self-identity and creativity of college students through the fashion collage program. The methods of research were content analysis and statistical analysis. The research subjects consisted of six fashion major college students experiment group and six control group students attending P university in Busan. The period of investigation was conducted once a week in the 9th session (2019. 04. 25. - 06. 18). The analysis criteria of fashion collage were divided into formality and contents, and the analysis criteria consisted of number of collage pieces, margin, overlapping, cut method, text position, color, space layout, and location of fashion design drawing. Collage maps were analyzed based on formal analysis, and fashion design drawings were analyzed based on formal and contents analysis. In order to verify the effectiveness of the fashion collage program, a pre-post test of self-identity and creativity was conducted. Statistical analysis was conducted by using the SPSS WIN 25.0 program, U-test of Mann-Whitney, Wilcoxon signed-rank test. In pre-post test of self-identity and creativity, there were significant differences. In conclusion, it has been shown that fashion collage programs are effective in improving self-identity and creativity for college students majoring in fashion. This study has a limitation of collage programs focused on self-discovery, so it should be carefully analyzed.

• Journal of Distribution Science
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• v.19 no.12
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• pp.33-43
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• 2021

Purpose: This paper aims to determine features of the relationship between human development, tourism and national brand. Research design, data and methodology: ranking indicators, cluster analysis, K means method, correlation analysis. Results: The analysis covers data for 95 countries for 2019. The number of countries is justified by the availability of comparable data for calculations. A direct relationship between the indicators for the entire sample has been revealed in the result of the correlation analysis. However, this relationship has not been confirmed for the groups of countries that were formed through the cluster analysis. Spearman Rank Order and Kendall Tau Correlations have been calculated for the five obtained clusters. In two of the five clusters, the relationship between the indicators has not been found. A strong negative link between all the indicators has been detected in the cluster with average index values. A strong positive link between TTCI and BSI has been revealed in the group of countries with the best index values. A strong positive link between TTCI and HDI has been found in the group of countries with the worst index values. Conclusions: The analysis demonstrates that there is a relationship between BSI, TTCI and HDI, and while this link is observed for the sample as a whole, it is not homogeneous for groups of countries.

• Journal of Chest Surgery
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• v.40 no.2 s.271
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• pp.109-113
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• 2007

Background: In non-small cell lung cancer (NSCLC), malignant pleural effusion is a frequently observed com-plication, and is an important negative prognostic factor. Although many studies concerned to diagnosis and treatment of malignant pleural effusion have been performed, prognostic factors of malignant pleural effusion have rarely been investigated. This study was performed to determine the prognostic factors of malignant pleural effusion n non-small cell lung cancer. Material and Method: We evaluated 33 NSCLC patients with malignant effusion treated between January 2002 and December 2003. We analyzed possible factors: gender, age, TNM Stage, fluid analysis (pH, CEA, LDH, glucose, albumin) and treatment modality. Median survival time of each factor was calculated by Kaplan-Meier method and difference of median survival time between groups of factor compared by log-rank test. The Cox proportional hazards regression model was used to confirm the significance of prognostic factor. Results: Of the 33 patients, 23 (69.7%) patients were adenocarcinoma. The median interval of the diagnosis of lung cancer and malignant effusion was 7.3 months ($25^{th}{\sim}75^{th}:\;3.9{\sim}11.8$), and the median survival time was 3.6 months (95% Confidence Interval: $1.14{\sim}5.99$). In the univariate analysis, using the log-rank test, those with an adenocarcinoma showed a relatively longer median survival time than those of a non-adenocarcinoma (4.067 vs. 1.867 months, p=0.067) without statistical significance. In the multivariate analysis, using the Cox regression, those with a non-adenocarcinoma showed a trend of high risk of cancer death than those with an adenocarcinoma without statistical significance (Relative risk; 2.754, 95% Cl: $0.988{\sim}7.672$, p=0.053). Conclusion: We could not find an independent prognostic factor of malignant pleural effusion in NSCLC. As there was a trend of high risk of cancer death according to histology, further study will be needed.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.1
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• pp.37-44
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• 2015

In traditional social network analysis, the betweenness centrality measure has been heavily used to identify the relative importance of nodes. Since the time complexity to calculate the betweenness centrality is very high, however, it is difficult to get it of each node in large-scale social network where there are so many nodes and edges. In our past study, we defined a new type of network, called the expanded ego network, which is built only with each node's local information, i.e., neighbor information of the node's neighbor nodes, and also defined a new measure, called the expanded ego betweenness centrality. In this paper, We propose algorithm that quickly computes expanded ego betweenness centrality by exploiting structural properties of expanded ego network. Through the experiment with virtual network used Barab$\acute{a}$si-Albert network model to represent the generic social network and facebook network to represent actual social network, We show that the node's importance rank based on the expanded ego betweenness centrality has high similarity with that the node's importance rank based on the existing betweenness centrality. We also show that the proposed algorithm computes the expanded ego betweenness centrality quickly than existing algorithm.

• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.315-326
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• 2013

Users in social media post various types of opinions such as product reviews and movie reviews. It is a common trend that customers get assistance from the opinions in making their decisions. However, as opinion usage grows, distorted feedbacks also have increased. For example, exaggerated positive opinions are posted for promoting target products. So are negative opinions which are far from common evaluations. Finding these biased opinions becomes important to keep social media reliable. Techniques of opinion mining (or sentiment analysis) have been developed to determine sentiment polarity of opinionated documents. These techniques can be utilized for finding the biased opinions. However, the previous techniques have some drawback. They categorize the text into only positive and negative, and they also need a large amount of training data to build the classifier. In this paper, we propose methods for discovering the biased opinions which are skewed from the overall common opinions. The methods are based on angle based outlier detection and personalized PageRank, which can be applied without training data. We analyze the performance of the proposed techniques by presenting experimental results on a movie review dataset.