• Korean Journal of Health Education and Promotion
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• v.21 no.4
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• pp.1-13
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• 2004

This study conducted descriptive literature review on adolescent smoking and the related factors to realize significance of adolescent smoking onset in Korea and to identify risk factors of smoking incidence. Korean adolescent smoking status was generated based on the cumulated data of the Korean Association of Smoking and Health. Risk factors of adolescent smoking were identified based on 18 studies written in English, with cross-sectional research design and published as a peer-reviewed journal article between 1994 and 2003. The results were as follows. 1. Korean adolescent smoking rate was the highest among OECD affiliated countries; in particular, male adolescent smoking incidence was very serious. 2. Risk factors related to smoking of adolescent population were personal factor, friend factor, family factor, and mass-media factor. Demographic characteristics, attitudes on smoking, and willingness of smoking, and health behaviors were selected as personal factor of smoking. 3. Best friends smoking was a strong factor of students' smoking set. Prevalent popularity of smoking in peer-group allowed students to feel free to smoking. 4. Concerning family factor related to smoking status, parents' smoking and sibling's smoking were significant indicators of adolescent smoking status. 5. Seeing smoking behaviors and scenes through films, TV shows, drama, and advertisement was a significant risk factor of adolescent smoking status.

• Korean Journal of Oriental Medicine
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• v.16 no.1
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• pp.119-134
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• 2010

Objectives & Method：Based on the statistic from January 2008 to December 2008 include 66-year-old 375 people (159 men, 216 women) who got examined in National Health Insurance Corporation, this study set a goal to establish a new health index by analyzing the relation between the cardio-cerebra vascular disease and risk factor such as obesity, smoking, exercise, alcohol consumption, blood pressure, blood sugar and cholesterol. Results：1) Examine results, health status according to gender；People who are diagnosed as abnormal health status have higher risk for both men and women. As for the detailed diseases, high blood pressure was highest followed by hyperlipidemia and obesity. In case of the women, 96.3% in bone mineral density was highest. 2) Correlation of disease and health risk factors based on gender；Correlation of disease according to gender in the obesity(p<0.001), lipid abnormalities(p<0.001), kidney diseases(p<0.001), chest diseases(p<0.05), osteoporosis(p<0.001) showed a statistically significant difference. The analysis showed that the men have more obesity and lipid abnormalities as well as thoracic disease than the women, but the women have more kidney disease than the men. As for the osteoporosis examine which is conducted only for the women, most of the women were abnormal even though it cannot compare the result according to gender. Obesity(p<0.001), alcohol(p<0.001), smoking(p<0.001) and LDLcholesterol(p<0.001) showed statistical correlation between gender and health risk factor. And only high blood pressure(p<0.001) showed a statistical correlation between gender and risk of cardio-cerebra vascular disease. 3) Risk of cardio-cerebra vascular disease related to health risk factor characteristic；Obesity assessment(p<0.001), alcohol(p<0.05), smoking(p<0.05), blood pressure(p<0.001), glucose(p<0.001) showed correlation between health risk factor and stroke. Drinking(p<0.001), smoking(p<0.05), exercise(p<0.001), blood pressure(p<0.001), LDL cholesterol(p<0.001) showed health risk factor and myocardial infarction. Obesity assessment(p<0.001), smoking(p<0.05), blood pressure(p<0.001), glucose(p<0.001) and showed correlation between health risk factor and diabetes. Obesity assessment(p<0.001), blood pressure(p<0.001) showed correlation between health risk factor and high blood pressure. Conclusion：Therefore, we have to take one step farther after the health examination. In order to prevent and reduce the risk of disease, people have to understand their health status exactly first, and correct their habit with recognizing the amount of risk related to cardio-cerebra vascular disease.

• Korea Journal of Hospital Management
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• v.15 no.4
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• pp.125-142
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• 2010

Objective : To determine demographic, clinical, health care utilization factors predicting unplanned readmission(within 28 days) to the hospital. Methods : A case-control study was conducted from January to December 2009. Multiple logistic regression was used to examine risk factors for readmission. 180 patients who had been readmitted within 28 days and 1,784 controls were recruited from an university hospital in Seoul. Results : Six risk factors associated with readmission risk were identified and include mail sex, medical service rather than surgical service, number of comorbid diseases, type of patient's room, lenth of stay, number of admissions in the prior 12 months. Conclusions : One of the association with readmission risk identified was the number of hospital admissions in the previous year. This factor may be the only risk factor necessary for assessing prior risk and has the additional advantage of being easily accessible from computerized medical records without requiring other medical record review. This risk factor may be useful in identifying a group at high readmission risk, which could be targeted in intervention studies. Multiple risk factors intervention approach should be considered in designing future prevention strategies.

• Journal of the Korean Society of School Health
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• v.21 no.2
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• pp.61-73
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• 2008

Purpose: Several health behavior factors affect the incidence of type 2 diabetes. Especially, obesity, which causes insulin resistance, is the most important determinant of diabetes. Therefore, we expect the risk factors associated with insulin resistance and type 2 diabetes are affected by obesity and, additionally, the related factors with diabetes caused by obesity can be controlled. Methods: This study used data collected from the 2001 Korea National Health and Nutrition Examination Survey (KNHANES). A stratified multistage probability sampling method was applied and the final sample included 5,500 subjects over 30 years old who had completed necessary health examinations and health behaviors survey. Results: The risk factors associated with type 2 diabetes are affected by obesity. According to logistic regression model stratified by body mass index (BMI) and sex, abdominal obesity and age were the significant risk factors of diabetes regardless of sex and BMI. However, drinking, smoking, total energy consumption, and protein consumption were risk factors for women with normal BMI, while carbohydrate consumption was a risk factor for man with normal BMI. Sleeping hours affected diabetes for women with obesity and fiber consumption was a risk factor for both women and men with obesity. In addition, statistically the family history of diabetes was a significant risk factor only in the group with normal weight, not in the group with obesity. Conclusion: The study results will provide information for implementing a regional initiative of type 2 diabetes prevention by BMI.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.2
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• pp.437-441
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• 2012

Objective: Health risk appraisal is often utilized to modify individual's health behavior, especially concerning disease prevention, and web-based health risk appraisal services are being provided to the general public in Korea. However, little is known about the psychological effect of the health risk appraisal even though poorly communicated information by the web-based service may result in unintended adverse health outcomes. This study was conducted to explore the psychological effect of health risk appraisal using epidemiological risk factor profile. Methods: We conducted a randomized trial comparing risk factor list type health risk appraisal and risk score type health risk appraisal. We studied 60 women aged 30 years and older who had no cancer. Anxiety level was assessed using the Spielberger State-Trait Anxiety Inventory YZ. Results: The results of multivariate analysis showed that risk status was the independent predictors of increase of state anxiety after health risk appraisal intervention when age, education, health risk appraisal type, numeracy, state anxiety, trait anxiety, and health risk appraisal type by risk status interaction was adjusted. Women who had higher risk status had an odd of having increased anxiety that was about 5 times greater than women who had lower risk status. Conclusions: Our findings indicate that communicating the risk status by individual health risk appraisal service can induce psychological sequelae, especially in women having higher risk status. Hospitals, institutes, or medical schools that are operating or planning to operate the online health risk appraisal service should take side effects such as psychological sequelae into consideration.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.421-430
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• 2018

The purpose of this study is to analyze the scale of health risk behaviors among adolescents in Daegu area. The purpose of this study was to develop a health risk behavior measurement item for the adolescent adolescents in Korea and to analyze the validity (CVR) of the existing THI measurement items and then to quantify the health risk behavior Were compared and analyzed. As a result of the analysis, the reliability of the health risk behavior scale of adolescents developed through the factor analysis was verified to derive measurement items such as general condition, respiratory, circulatory, digestive, mental health and other items. The reliability and validity of the developed health risk behavior scale were found to be fairly good. Through these studies, it will be possible to develop a preventive program that can reduce the risk of health related adolescents' youth, and to devise a strategy that can provide basic data for policy formulation.

• The Korean Journal of Health Service Management
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• v.13 no.4
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• pp.243-252
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• 2019

Objectives: This study aimed to determine whether the self-rated health (SRH) could be a risk factor for compulsion. Methods: Data related with compulsion and SRH information were collected from 532 young adults aged over 20 years in South Korea. The distribution of the high and low SRH groups was analyzed using the chi-square test, whereas difference in quality of life (QoL) was analyzed using the t-test. Logistic regression was used to analyze the odds ratio (OR). Results: In the high and low-SRH groups, 44 (28.8%) and 23 (31.5%) men and 24 (10.4%) and 21 (27.6%) women, respectively, were at risk for compulsion (p<.001). For women, the compulsion scores of the low and high-SRH groups, respectively, were 15.8±9.53 and 9.9±8.47 (t=5.071, p<.001). The low-SRH group had higher ORs compared with the high-SRH group among women (OR 3.277, 95% confidence interval 1.699 - 6.321, p<.001) in the original model, and this phenomenon was significant even after adjusting for age and residence type. Conclusions: Low SRH may be a risk factor for compulsion. Further research for improving SRH by developing preventive measures against compulsion is necessary.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.175-176
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• 2012

세포선별검사에서 ASCUS로 진단된 검체 중 F-UP이 진행되지 않은 검체 179건을 대상으로 HPV High risk factor, Low risk factor를 확인하기 위해서 Hybrid Capture II Test를 하였다. 결과 High risk factor 양성 및 Low risk factor 양성은 전체 179 cases 중 25 cases로 나타났으며, 전체 검체 중 약 15%에 해당되었다. 또한 전체 15%의 양성검체 중 High risk factor 양성은 87%에 해당되는 것을 확인하였다. 결론적으로 효과적인 검진 체계를 갖춘 나라에서도 자궁경부암의 예방이 완전히 해결되지 않고 있는 문제점이 있는 여건을 고려해 볼 때 추적 관찰이 용이하지 않은 경우를 대비해 자궁경부암으로 진행될 수 있는 precancerous lesion의 원인 인자인 HPV 존재 유무를 세포선별검사와 HPV Hybrid Capture II Test를 동시에 시행하는 것이 효과적이라고 사료된다.

• Journal of the Korean Society of Safety
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• v.32 no.3
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• pp.90-98
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• 2017

The purpose of this study was to examine the effect of employment type(direct employment, dispatch and service supplier) on risk factor exposure, health and satisfaction. The data of the 4th wave of Korean Working Conditions Survey (KWCS) conducted by Korea Occupational Safety and Health Agency (KOSHA) in South Korea was used. Business support service industry and manufacturing industry were selected as appropriate industries for analysis. In the final analysis, 5,865 in the manufacturing industry and 1,361 in the service support industry were included. Various variables related risk, safety, satisfaction and health such as risk factor exposure, MSDs exposure, work environment satisfaction, injury probability, dangerous work, workload, physical health problem, perceived health, positive emotions, stress, participation for decision making and experience of accident/disease were analyzed and company size and age was controled. An ANCOVA was conducted to identify significant mean differences of risk, safety, satisfaction and health related variables among direct employed workers, dispatch and service supplier workers. The results showed that all the variables except stress showed a significant difference depending on employment type in the service supply industry. In the manufacturing industry, there were significant difference in the risk factor exposure, MSDs exposure, work environment satisfaction, workload, physical health problem, perceived health, and participation depending on employment type. These results indicated that the risks are unloaded to subcontract and outsourcing company workers. Based on these results, the implications of this study and suggestions for future research were discussed.

• Research in Community and Public Health Nursing
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• v.17 no.2
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• pp.153-165
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• 2006

Purpose: The purpose of this study was to develop and test a structural model on cardiovascular disease risk factors among male manufacturing workers. Methods: Data were collected through questionnaires and health exams from 201 workers in a local electronic company during September 2004. Data analysis was done with SAS 9.1 for descriptive statistics and PC-LISREL 8.54 for covariance structural analysis Results: The overall fit of the hypothetical model to the data was moderate, it was modified by deleting five paths. The modified model had a better fit to the data($x^2=504.23$(p<001, df: 180), $x^2/df=2.80$, GFI=.95, RMR=.07, NFI=.90, PGFI=.64). Health behaviors and psychosocial distress were found to have significant direct effects on the cardiovascular disease risk factors. Self-concept had direct effect on psychosocial distress or health behaviors. Self-concept, work environment, and work condition had direct effect on social support. Work environment had indirect effect on psychosocial distress. Social support had indirect effect on health behaviors. But work environment and work condition were found to have little direct effect on health behaviors, psychosocial distress or cardiovascular disease risk factors. Conclusion: A cardiovascular health promotion program should therefore include psycho-social factors as well as health behavioral determinants in worksites.