• Korean Journal of Health Education and Promotion
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• v.27 no.1
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• pp.9-19
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• 2010

Objectives: This study is to identify the factors which affect children's preventive behavior for novel influenza A(H1N1) and to provide basic data to health education for children. Methods: The subject of this study were 551 children who were attending on the 4~6th grade in elementary school in Seoul. The data were collected using a self-reporting questionnaire for 5 days from October 12 through 16, 2009. Data were all digitized and analyzed using SPSS 17.0K. Results: As for relationship between preventive behavior and the other variables, correlations were observed with sensibility, self efficacy, respond efficacy and behavior intention, and it was statistically significant(p<.001). According to the result of analyzing factors affecting preventive behavior for Novel Influenza A(H1N1), it was affected by variables such as perceived threat, perceived efficacy, behavior intention. Behavior intention was the most influencing variable and has shown influence in order of self efficacy, sensibility, severity and respond efficacy as follows. Conclusion: The results showed effects on preventive behavior of perceived threat, perceived efficacy and behavior intention. It may be beneficial to improve empowerment for students to prevent influenza A(H1N1) by focusing on perceived threat, perceived efficacy, behavior intention.

• Journal of Preventive Medicine and Public Health
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• v.56 no.2
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• pp.100-110
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• 2023

Qualitative research methodology has been applied with increasing frequency in various fields, including in healthcare research, where quantitative research methodology has traditionally dominated, with an empirically driven approach involving statistical analysis. Drawing upon artifacts and verbal data collected from in-depth interviews or participatory observations, qualitative research examines the comprehensive experiences of research participants who have experienced salient yet unappreciated phenomena. In this study, we review 6 representative qualitative research methodologies in terms of their characteristics and analysis methods: consensual qualitative research, phenomenological research, qualitative case study, grounded theory, photovoice, and content analysis. We mainly focus on specific aspects of data analysis and the description of results, while also providing a brief overview of each methodology's philosophical background. Furthermore, since quantitative researchers have criticized qualitative research methodology for its perceived lack of validity, we examine various validation methods of qualitative research. This review article intends to assist researchers in employing an ideal qualitative research methodology and in reviewing and evaluating qualitative research with proper standards and criteria.

• Korean Journal of Health Education and Promotion
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• v.4 no.2
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• pp.9-31
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• 1987

This study was conducted because of the investigator's concern for the high incidence and fatal nature of cancer in prime years of human life. The purpose of this study was to investigate risk factors on compilance for preventive health behavior of cancer. The data on which the analysis was based come from a survey of 828 married men & women, 40-59 years old. The instrument of the study were 'Health Belief Model' by Becker. The Data was analyzed using X--test, t-test, ANOVA, Pearson's Correlation Coefficient, Stepwise Multiple Regression. The followings were the result; 1. The examined group had a higher scores than the non-examined group in health belief variables. (p<0.001) 2. The higher level of health belief variables, the higher level of compliance for preventive health behavior is. (p<0.001) 3. The Stepwise Multiple Regression of compliance for preventive health behavior on the variables in the health belief model; Approximataly 65.5% of the variance of compliance for preventive health behavior was accounted for by health concern, susceptibility and barriers in combination. This meant that other factors seemed to influence preventive health behavior since the linear combination of variables failed to explain the remaining 34.5% of preventive health behavior of cancer. It tended to cost doubt on the usefulness of 5 variables in this model. Therefore further study to investigate the influential factors preventive health behavior of cancer is necessary.

• Journal of Preventive Medicine and Public Health
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• v.44 no.4
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• pp.176-184
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• 2011

Objectives: Understanding recent trends in cigarette smoking among adolescents is important in order to develop strategies to prevent cigarette smoking. The aim of this study was to compare recent trends in cigarette smoking for adolescents living in rural areas, small towns and metropolitan cities in Korea. Methods: The raw data from the Korea Youth Risk Behavior Web-based Survey (KYRBWS) from 2005 to 2009 were used. Data were analyzed by using the method of complex survey data analysis considering complex sampling design. Logistic regression models were used to evaluate significant linear time trends in cigarette smoking. The indicators of cigarette use behaviors were 'current smoking rate', 'frequent smoking rate', 'heavy smoking rate' and 'smoking experience rate before 13 years of age'. All analyses were conducted according to gender. Results: Statistically significant increasing trends in current smoking rate and frequent smoking rate were observed and borderline significant increasing trends in heavy smoking rate were shown among rural boys. Among metropolitan city boys, statistically significant increasing trends were also seen for frequent smoking. Statistically significant decreasing trends in current smoking rate were observed among small town and metropolitan city girls. Smoking experience rate before 13 years of age for rural girls decreased significantly. Conclusions: Cigarette smoking prevalence among adolescents in the rural areas has increased in the last five years especially among boys. Our findings suggest that anti-tobacco program for adolescents should be conducted primarily for those in rural areas.

• Journal of Korean society of Dental Hygiene
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• v.17 no.5
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• pp.875-887
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• 2017

Objectives: The objective of this study is to provide basic data needed in developing an educational program designed to upgrade capacity and awareness of preventive dental treatment among oral health workers, by analyzing levels of awareness of preventive dental treatment and educational needs among dentists and dental hygienists. Methods: The collected data was analyzed with SPSS program ver. 19.0. The data was under t-test. Results: The frequency level of giving preventive dental treatment to patients among dentists and dental hygienists is below mid-point, 3 on the 5-point Likert scale. In terms of frequency level per item, scaling & polishing was ranked the highest, followed by periodontal maintenance, tooth-brushing instruction, and prescription and instruction of oral care product in descending order. On the questions asking how important preventive dental care they perceive to be, both dentists and dental hygienists perceived it to be highly important. When they were asked to rank those items by the importance of education, they considered periodontal maintenance as the most important one, followed by individual education of oral health, incremental oral health care, scaling& polishing, toothbrushing instruction, and prescription and instruction of oral care product. Respondents pointed out problems in running a preventive dental treatment program as follows: overwork, lack of dedicated workforce, un-fixed costs, and lack of necessary equipment. When they were asked to point out items needed to run such a program, the largest number of respondents indicated dedicated workforce placement, followed by improving awareness of the customer, and improving awareness of the dental workers. Conclusions: In order to effectively run a preventive dental treatment program, it is necessary for oral health workers to clearly understand the concept of it. It is also necessary to develop and operate an education program on preventive dental treatment targeting oral health professionals.

• Journal of Preventive Medicine and Public Health
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• v.33 no.3
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• pp.313-322
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• 2000

Objectives : To estimate mumps incidence during the study period and to evaluate the completeness of case reporting. Methods : Capture-recapture methods, originally developed for counting wildlife animals, were used. The data sources were 1) the National Notifiable Communicable Disease Reporting System (NNCDRS; 848 cases), 2) the School Health Reporting System, temporarily administered by the Division of Education (SHRS; 1,026 cases), and 3) a survey of students (785 cases). We estimated the number of unobserved mumps cases by matching the three data sources and fitting loglinear models to the data. We then determined the estimated total number of mumps cases by adding this to the number of observed cases. Completeness was defined as the proportion of observed cases from each source to the total of estimated cases. Results : The total number of observed cases was 1,844 and the total number of estimated cases was 1,935 (95%, CI: $1,878\sim2,070$). The overall completeness was 43.8% of the NNCDRS, 53.0% of the SHRS, and 40.6% of the survey. However, completeness varied by area and age. Conclusion : Although the completeness of NNCDRS data appeared higher than in the past, it is difficult to generalize this result In Korea, it is possible to estimate the size of health hazards relatively cheaply and quickly, by applying capture-recapture methods to various data using a multiple data collection system.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.25 no.3
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• pp.346-354
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• 2015

Objectives: This study was conducted to evaluate the changes and regional differences of mortality and morbidity particularly respiratory system diseases in the area of exposure to coal dust(Ansim area, Dong-gu, Daegu). Methods: The authors analyzed secondary data(cancer registration data, mortality data, and health insurance data) for respiratory system diseases. We calculated age standardized incidence ratio(SIR), mortality ratio(SMR), and health care utilization ratio(SHR) using those data. Results: There were no significant differences between Ansim area(or Dong-gu, Daegu) and the control area for cancer registration data and mortality data. In the results for the health insurance data, significant increased SHR in asthma was observed compared to the control area. Conclusions: Although confounders such as selection bias were not clearly ruled out, our findings reveal increased asthma SHR in the area of exposure to coal dust. Further prospective studies are required to clarify the increasing respiratory disease due to exposure to coal dust.

• Journal of Preventive Medicine and Public Health
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• v.29 no.1 s.52
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• pp.27-41
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• 1996

This study described methods to predict human health risk associated with exposure to environmental carcinogens using animal bioassay data. Also, biological assumption for various dose-response models were reviewed. To illustrate the process of risk estimate using relevant dose-response models such as Log-normal, Mantel-Bryan, Weibull and Multistage model, we used four animal carcinogenesis bioassy data of chloroform and chloroform concentrations of tap water measured in large cities of Korea from 1987 to 1995. As a result, in the case of using average concentration in exposure data and 95% upper boud unit risk of Multistge model, excess cancer risk(RISK I) was about $1.9\times10^{-6}$, in the case of using probability distribution of cumulative exposure data and unit risks, those risks(RISK II) which were simulated by Monte-Carlo analysis were about $2.4\times10^{-6}\;and\;7.9\times10^{-5}$ at 50 and 95 percentile, respectively. Therefore risk estimated by Monte-Carlo analysis using probability distribution of input variables may be more conservative.

• Journal of Information Processing Systems
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• v.16 no.3
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• pp.648-662
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• 2020

Bluetooth low energy (BLE) beacon is an actively push-to-broadcast electronic signal and can be used for object identification. This paper uses such beacon-based identification and Internet of Things (IoT) technologies for the elder health management service system to simplify the user interfaces and steps for preventive elder care. In the proposed system, an elder's family member, caregiver, or medical worker can conveniently and quickly record daily health management information. Besides, through the statistics and analysis of the data on the back end of the system, it is helpful for the elderly to refer to the data of daily care management and future management trends. Similarly, it is also an essential reference data for system maintenance and the new preventive health care services development.

• 대한예방의학회:학술대회논문집
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• 2004.10a
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• pp.48.1-48.1
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• 2004