• Journal of dental hygiene science
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• v.15 no.1
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• pp.67-76
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• 2015

This study aims to determine the factors affecting the dental service utilization of adults. The subjects in this study were 455 adults, whom a survey was conducted form May 7 to June 7, 2013. Statistical verification conducted through PASW Statistics was 18.0. The difference in the distribution of independent variables related with the dental service utilization was verified with chi-square test. Relevant factors were determined using Hierarchical logistic regression analysis. Model I is predisposing factor, Model II is predisposing factor and enabling factor. Model III is predisposing, enabling, need factor. Andersen model factor which infuences dental service utilization of adults resulted that use dental floss (OR, 2.32; CI, 1.39~3.86), use electric toothbrush (OR, 2.98; CI, 1.0~8.89), use interdental brush (OR, 2.55; CI, 1.36~4.78), self-efficacy (OR, 0.68; CI, 0.48~0.96), barriers (OR, 1.45; CI, 1.04~2.04). Predisposing factor and need factor were found to be determinants for dental service utilization in adult.

• Journal of Preventive Medicine and Public Health
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• v.56 no.1
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• pp.21-30
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• 2023

Objectives: To prevent the spread of coronavirus disease 2019 (COVID-19), behaviors such as mask-wearing, social distancing, decreasing mobility, and avoiding crowds have been suggested, especially in high-risk countries such as Indonesia. Unfortunately, the level of compliance with those practices has been low. This study was conducted to determine the predisposing, enabling, and reinforcing factors of COVID-19 prevention behavior in Indonesia. Methods: This cross-sectional study used a mixed-methods approach. The participants were 264 adults from 21 provinces in Indonesia recruited through convenience sampling. Data were collected using a Google Form and in-depth interviews. Statistical analysis included univariate, bivariate, and multivariate logistic regression. Furthermore, qualitative data analysis was done through content analysis and qualitative data management using Atlas.ti software. Results: Overall, 44.32% of respondents were non-compliant with recommended COVID-19 prevention behaviors. In multivariate logistic regression analysis, low-to-medium education level, poor attitude, insufficient involvement of leaders, and insufficient regulation were also associated with decreased community compliance. Based on in-depth interviews with informants, the negligence of the Indonesian government in the initial stages of the COVID-19 pandemic may have contributed to the unpreparedness of the community to face the pandemic, as people were not aware of the importance of preventive practices. Conclusions: Education level is not the only factor influencing community compliance with recommended COVID-19 prevention behaviors. Changing attitudes through health promotion to increase public awareness and encouraging voluntary community participation through active risk communication are necessary. Regulations and role leaders are also required to improve COVID-19 prevention behavior.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.21 no.1
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• pp.18-28
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• 2014

Purpose: This study was done to apply Andersen's behavioral model to identify factors that determine oral health-related quality of life in elderly persons. Methods: Participants were 257 people ages 65 years or older. Data were analyzed using frequency, percentage, mean and hierarchical multiple regression. Results: The variables in the behavioral model, predisposing factors, enabling factors and need factors, explained 31% (F=12.7, p<.001) of variance in oral health-related quality of life. The predisposing factors, enabling factors, need factors and health behavior collectively explained 35% (F=9.22, p<.001) of variance in oral health-related quality of life. Factors influencing oral health-related quality of life in older adults were ADL and IADL, self-reported oral health status, xerostomia and dental care in last 12 months. Conclusions: The analysis results showed that the need factor had the highest level of relative importance of the three factors. The model used for this study can be used to predict oral health-related quality of life.

• Imaging Science in Dentistry
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• v.43 no.3
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• pp.145-151
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• 2013

Purpose: This study was performed to evaluate and compare the radiopacity of dentin, enamel, and 8 restorative composites on conventional radiograph and digital images with different resolutions. Materials and Methods: Specimens were fabricated from 8 materials and human molars were longitudinally sectioned 1.0 mm thick to include both enamel and dentin. The specimens and tooth sections were imaged by conventional radiograph using #4 sized intraoral film and digital images were taken in high speed and high resolution modes using a phosphor storage plate. Densitometric evaluation of the enamel, dentin, restorative materials, a lead sheet, and an aluminum step wedge was performed on the radiographic images. For the evaluation, the Al equivalent (mm) for each material was calculated. The data were analyzed using one-way ANOVA and Tukey's test (p<0.05), considering the material factor and then the radiographic method factor, individually. Results: The high speed mode allowed the highest radiopacity, while the high resolution mode generated the lowest values. Furthermore, the high resolution mode was the most efficient method for radiographic differentiation between restorative composites and dentin. The conventional radiograph was the most effective in enabling differentiation between enamel and composites. The high speed mode was the least effective in enabling radiographic differentiation between the dental tissues and restorative composites. Conclusion: The high speed mode of digital imaging was not effective for differentiation between enamel and composites. This made it less effective than the high resolution mode and conventional radiographs. All of the composites evaluated showed radiopacity values that fit the ISO 4049 recommendations.

• Korean Journal of Health Education and Promotion
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• v.33 no.2
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• pp.77-87
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• 2016

Objectives: This study was conducted to provide data in order to develop effective family planning programs by analyzing the factors which affect contraceptive use among women in Ethiopia. Methods: The community health survey was conducted on women of childbearing age. The research model was developed based on Andersen's Model. A total of 320 respondents were analyzed through Chi-square analysis, t-tests and logistic regression analysis. Results: Contraceptive prevalence rate was 43.1% and most of them were using modern and short-term methods. Among three factor categories, the need factor(unwanted pregnancy experience) was revealed as the most important factor, following enabling factor which was knowing the FP services in health center. Conclusions: These results lead to several conclusions. First, the results imply that programs should focus on women who are in the over 30yr. as well as the poorer economic group and urban residents. Second, to improve the effectiveness of the program, it is important to help them to be motivated themselves and to promote knowledge on various methods. Third, in terms of service delivery, community health workers are expected to take a crucial role. To improve the availability of services, they should provide practical services as those in health center.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.717-722
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• 2003

A driving simulator is a computer-controlled tool to study an interface between a driver and vehicle response by enabling the driver to participate in judging vehicle characteristics. Using the driving simulator, human factor study, vehicle system development and other research can be effectively done under controllable, reproducible and non-dangerous conditions. An Adaptive Cruise Control (ACC) system is generally regarded as a system that can be achieved in the near future without the demanding infrastructure components and technologies. ACC system is an automatic vehicle following system with no human engagement in the longitudinal vehicle direction. And the influence of the driver is substantial in developing the system. Driving characteristic is very different according to the accident riskiness, gender, age and so on. In this research, experiments have been carried out to investigate driving characteristics with the ACC system, using a driving simulator. Participants are 21 male and 19 female. Driving characteristics such as preferred headway-time, lane keeping ability, eye direction, and head movement have been observed and compared between the driving with ACC and the driving without ACC.

• Health Policy and Management
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• v.9 no.2
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• pp.40-54
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• 1999

The purpose of this study is to compare the health service utilization patterns between up and myun and to find the determinants of utilization. For this purpose. this study used different versions of utilization rates. such as crude utilization rates. utilization rates adjusted for population composition. and age-sex adjusted utilization rates. Data used in this analysis were the Community Health Interview Survey which was conducted by interviewing 741 households from August 31 to September 11, 1998 in HongCheon-Gun. KangWon-Do. The major findings of the analysis are summarized as follows: 1. There was a statistically significant difference in the level of health service utilization between up and myun. Depending upon the unit of analysis employed (those who were interviewed vs those who were sick). the difference between up and myun was reversed. 2. Determinants of health service utilization are analyzed using logistic regression. The result showed that predisposing factor influenced health service utilization in rural areas, while the enabling factor didn't.

• Culinary science and hospitality research
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• v.13 no.3
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• pp.293-307
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• 2007

This article was to provide information enabling us to respond effectively to the well being market which has great potential of growth by studying well-being consumption behaviour according to the lifestyles of dining-out customers and to find out how their lifestyles have influence on well-being by investigating their patterns according to demographical characteristics of dining-out customers who play key role in consumption and will have great purchasing power in food service industry. First, factor analysis of variation of lifestyle, 6 factors are named conscious style, realistic style, self-regard style, health-focusing style, changeable style, and fashion-sensitive style. Second, factor analysis of well-being consumption behaviour, 5 factors over eigen 1 are selected and used in a research and they are named healthful food principle, physical health principle, mental health principle, confidence principle, and old-age planning principle. Analysis result reveals that there exists significant relationship between lifestyle and well-being consumption behaviour.

• BMB Reports
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• v.34 no.4
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• pp.305-309
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• 2001

MatR in Rhizobium trifolii is a malonate-responsive transcription factor that regulates the expression of genes, matABC, enabling decarboxylation of malonyl-CoA into acetyl-CoA, synthesis of malonyl-CoA from malonate and CoA, and malonate transport. According to an analysis of the amino acid sequence homology, MatR belongs to the GntR family The proteins of this family have two-domain folds, the N-terminal helix-turn-helix DNA-binding domain and the C-terminal ligand-binding domain. In order to End the malonate binding site and amino acid residues that interact with RNA polymerase, a site-directed mutagenesis was performed. Analysis of the mutant MatR suggests that Arg-160 might be involved in malonate binding, whereas Arg-102 and Arg-174 are critical for the repression activity by interacting with RNA polymerase.

• IEIE Transactions on Smart Processing and Computing
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• v.4 no.6
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• pp.450-454
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• 2015

Short execution time is the major performance factor for computer systems. This performance factor is directly determined by code quality, which is influenced by the compiler's optimizations. However, a compiler has limitations when optimizing source code due to insufficient information. Thus, if programmers can learn the reasons why a compiler fails to apply optimizations, they can rewrite code that is more easily understood by the compiler, and thus improve performance. In this paper, we propose a compiler that provides a programmer with reasons for failed optimization and recognizes programmer's additional information to obtain better optimization. As a result, we obtain performance improvement, i.e., reducing execution time and code size, by taking advantage of additional optimization opportunities.