• Asian Pacific Journal of Cancer Prevention
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• v.14 no.11
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• pp.6857-6862
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• 2013

Background: Breast cancer is the most common cancer in women. All ages are susceptible and more than 90% of the patients can be cured with early diagnosis. Breast self-examination (BSE) and mammography can be useful for this aim. In this study we examined the components of the Champion health belief model to identify if they could predict the intentions of women to perform such screening. Materials and Methods: A total of 380 women aged 30 and above who had referred to health-care centers were assessed for use of breast cancer screening over the past year with a modified health belief model questionnaire. Logistic regression was applied to identify leading independent predictors. Results: In this study 27% of the women performed BSE in the last year but only 6.8% of them used mammography as a way of screening. There were significant differences regarding all components of the model except for perceived severity between women that underwent BSE. over the past year and those that did not. Findings were similar for mammography. Regression analysis revealed that intentions to perform BSE were predicted by perceived self-efficacy and perceived barriers to BSE while intentions to perform mammography were predicted by perceived barriers. Conclusions: This study indicated that self-efficacy can support performance of BSE while perceived barriers are important for not performing both BSE and mammography. Thus we must educate women to increase their self-efficacy and decrease their perceived barriers.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.11
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• pp.6613-6618
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• 2013

To evaluate the relationship between alcohol drinking, XRCC1 codon 194 and 399 polymorphisms and risk of colorectal cancer, we conducted a case-control study with 315 colorectal cancer cases (105 colon, 210 rectal) and 439 population-based controls in Jiangsu Province of China. The XRCC1 codon 194 and 399 genotypes were identified using polymerase chain reaction and restrictrion fragment length polymorphism methods (PCR-RFLP). A structured questionnaire was used to elicit detailed information. Odds ratios (ORs) were estimated with an unconditional logistic model. In this study no significant differences were observed among the studied groups with regard to the genotype distribution of the XRCC1 codons 194 and 399 and the risk of colorectal cancer did not appear to be significantly influenced by genotype alone, whereas alcohol consumption showed a positive association (P for trend <0.01). When combined effects of XRCC1 polymorphisms and alcohol consumption were analyzed, we found that the 194Trp or 399Gln alleles further increased the colorectal cancer risk due to high alcohol intake. These findings support the conclusion that colorectal cancer susceptibility may be altered by gene-environment interactions.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.505-512
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• 2020

This study is done to provide basic data on the effective operation of the new policies by examining the satisfaction level of the elderly with dementia visiting dementia care centers located in 25 autonomous districts of S city. Self-administered questionnaires were distributed to 217 elderly with dementia who visited the above dementia care center from July 1 to September 30, 2019. The satisfaction tool is a chart score scale that displays negative-positive expressions at both ends of a straight line. The result shows that satisfaction level is significantly higher in the group with trust in the visiting institutions than in the group with distrust (t=9.74, p<.001), higher in cognitive impairment group than in dementia group (t=0.13, p=.034), and higher in mild depression group than in more severe depression group (t=2.31, p=.022). Satisfaction ratios analyzed by logistic regression shows significant differences in factors like gender, age, education, and walking pattern. In conclusion, it is important to run health support programs that consider user characteristics to improve the satisfaction of newly introduced dementia care centers.

• Journal of Korean society of Dental Hygiene
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• v.15 no.4
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• pp.649-659
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• 2015

Objectives: The purpose of the study is to investigate the musculo-skeletal pain prevalence and severity in the dental hygienists based on PRECEDE model. Methods: A self-reported questionnaire was completed by 483 dental hygienists in Gwangju from September 13 to October 12, 2013. Data were analyzed by frequency analysis, chi-square test, t-test, and multiple logistic regression analysis using SPSS 18.0 program. Musculo-skeletal pain severity was classified from 1 to 5 by PRECEDE model. The questionnaire consisted of six questions of the general characteristics of the subjects, one question of musculo-skeletal pain prevalence, one question of body part musculo-skeletal pain prevalence, one question of subjective health status, three questions of activities of daily living, six questions of working environment, one question of musculoskeletal system diseases knowledge, two questions of social support, two questions of education experience and data use method, and five questions of necessity of health education. Results: The prevalence rate of musculo-skeletal pain within a year was 83.9% and 22.8% of the dental hygienists complained of severe pain. The odds ratio of moderate pain severity was 1.99(95% CI, 1.10-3.60) and the odds ratio of unhealthiness was 3.27 (95% CI, 1.35-7.94). The odds ratio of pain severity in those working for 4-6 years was 0.21(95% CI, 0.08-0.57). The odds ratio of pain severity in those practicing 6-10 scaling cases per day was 0.33(95% CI, 0.17-0.65). The odds ratio of pain severity in wrist turning and bending was 3.56(95% CI, 1.19-10.62). Conclusions: The muscolu-skeletal pain severity in the dental hygienists was closely associated with subjective health condition, work duration, the number of scaling practice activity, and a treatment posture. Regular physical checkup for the dental hygienists will improve the musculo-skeletal pain due to scaling practice.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.18 no.2
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• pp.19-32
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• 2015

In Korea, significant riparian areas have been developed due to river maintenance projects. Introduction of new riparian facilities can negatively affect wildlife in the riparian areas. This study focuses on selecting core conservation areas for Eurasian Otter(Lutra lutra) to support decision making process for development of riparian areas. For the study, first of all, field data of study site were collected by field surveys. Secondly, stream naturalness was assessed to understand physical environments of the study sites. Thirdly, habitat suitability was assessed using occurrence data of Eurasian Otter and environmental data. Lastly, core areas for conservation was selected by comparing and synthesizing stream naturalness map and habitat suitability map. The selected core areas showed several characteristics. The number of artificial facilities is low in the core areas. Rocks which are preferred by Eurasian Otter to eat and excrete are plentiful in the core areas. Also, the ratio of adjacent farmland is high. Based on the analyses, it is expected that this study can contribute to decision making process for environmental spatial plans to better conserve habitats of Eurasian Otter.

• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1077-1094
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• 2016

Apache Spark is a fast and general-purpose cluster computing package. It provides a new abstraction named resilient distributed dataset, which is capable of support for fault tolerance while keeping data in memory. This type of abstraction results in a significant speedup compared to legacy large-scale data framework, MapReduce. In particular, Spark framework is suitable for iterative machine learning applications such as logistic regression and K-means clustering, and interactive data querying. Spark also supports high level libraries for various applications such as machine learning, streaming data processing, database querying and graph data mining thanks to its versatility. In this work, we introduce the concept and programming model of Spark as well as show some implementations of simple statistical computing applications. We also review the machine learning package MLlib, and the R language interface SparkR.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.10
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• pp.5713-5718
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• 2013

Background: DNA methyltransferase-3a (DNMT3a) plays significant roles in embryogenesis and the generation of aberrant methylation in carcinogenesis. This study aimed to investigate associations between single nucleotide polymorphisms (SNPs) of the DNMT3a gene and risk of Helicobacter pylori infection, gastric atrophy and gastric cancer. Methods: The subjects comprised 447 patients with gastric cancer; 111 individuals with gastric atrophy and 961 healthy controls. Two SNPs (rs1550117 and rs13420827) of the DNMT3a gene were genotyped by Taqman assay. DNMT3a expression was analyzed in cancer tissues from 89 patients by tissue microarray technique. Odds ratio (ORs) and 95% confidence intervals were calculated by multivariate logistic regression. Results: Among healthy controls, risk of H.pylori infection was significantly higher in subjects with the rs1550117 AA genotype, compared to those with GG/AG genotypes of DNMT3a [OR=2.08, (95%CI: 1.02-4.32)]. However, no significant correlation was found between the two SNPs and risk of developing gastric atrophy or gastric cancer. In addition, no increase in DNMT3a expression was observed in the gastric cancer with H.pylori infection. Conclusions: This study revealed that DNMT3a rs1550117 polymorphism is significantly associated with an increased risk of H. pylori infection, but did not support any evidence for contributions of DNMT3a rs1550117 and rs13420827 to either gastric atrophy or gastric cancer. The biological roles of DNMT3a polymorphisms require further investigation.

• Information Systems Review
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• v.12 no.2
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• pp.75-88
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• 2010

This paper proposed a method that segmented customers utilizing SOM(Self-organizing Map) and predicted the customers' response of a marketing promotion for each customer's segments. Our proposed method focused on predicting the response of customers dividing into customers' segment whereas most studies have predicted the response of customers all at once. We deployed logistic regression, neural networks, and support vector machines to predict customers' response that is a kind of dichotomous classification while the integrated approach was utilized to improve the performance of the prediction model. Sample data including 45 variables regarding demographic data about 600 customers, transaction data, and promotion activities were applied to the proposed method presenting classification matrix and the comparative analyses of each data mining techniques. We could draw some significant promotion strategies for segmented customers applying our proposed method to sample data.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.4
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• pp.2105-2110
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• 2016

Purpose: A multicenter, observational, cross-sectional study was conducted to assess factors delaying presentation of breast cancer cases. Materials and Methods: Data were collected from a pair of highly specialized referral centers, both located in the center of the Sudanese capital, Khartoum. For a total of 153 eligible respondents, durations of delay, clinicodemographic factors and reasons of referral were collected from our respondents through self-administered questionnaires. Logistic regression analysis and ANOVA were used to test the relation between periods of delay and different factors. Odd ratios (OR's) and their correspondent Confidence intervals (95% CI's). Delay periods were studied with Andersen's model. Results: The average duration of delay in our study was 11.9 (${\pm}11.2$) months. Only a quarter of our patients presented early within the first 3 months after onset of their symptoms. About 47.7% arrived later during the course of the first year, while it took beyond that for the last 27% to come. A prior diagnosis of BC was the only predictor of early presentation (for 3-12 months OR=9.6 (p<0.00), 95% CI 9.55-9.75; for >12 months OR=9.3 (p<0.00), 95% CI 9.33-9.33). Out of the 12 different reasons for delay given by our respondents, none showed a significant difference between patients presenting early or late. Financial incapacity (17.5%), ignorance about BC (14.3), and misinterpreting symptoms (12.7%) were the top three whys of delay. Conclusions: Our findings support existence of a non-uniform pattern of delay among Sudanese BC patients. Changing currently adopted awareness elevating strategies into much more inclusive approaches is strongly recommended.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.447-454
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• 2018

The purpose of this study was to investigate the influenza vaccination rate and vaccination-related factors in adult diabetics in Korea using the Korean Community Health Survey (KCHS). Data on 228,261 adults aged 19 years and over were derived from the KCHS, which was conducted in 2015. Sociodemographic factors, health behavior, comorbid diseases, and subjective health status were analyzed for their relationships with influenza vaccination by the chi-squared test and multiple logistic analysis. As a result, the level of influenza vaccination rate among adult diabetics in Korea was as low as 62.4%. For those with diabetes, Influenza vaccination was related with age, gender, education level, residency, marital status, occupation, smoking, health screening, and comorbid diseases (p<0.05). In conclusion, in order to increase the influenza vaccination rate among diabetic patients, systematic education and publicity are essential to raise awareness of vaccination. At the same time, the government should support them with their policies such as free vaccination expansion.