The purpose of this study is to determine the type-2 diabetes risk status of the individuals applying to the internal diseases outpatient clinic and the affecting factors. This descriptive study was conducted on 500 individuals who applied to the internal diseases department of a hospital in Ordu Turkey, between May and June 2010 without diabetes diagnosis. The questionnaire form and Type 2 Diabetes Risk Assessment Form are used to collect the data. For the evaluation of data; independent samples t-test and One-Way Anova are used to evaluate the data. It is determined that the type-2 diabetes risk an score of the individuals participating in the study is $10.4{\pm}5.5$ and 32.4% of them have low type-2 diabetes risk score, 26.6% have slightly elevated score, 18% have moderate score, 16.6% have high and 6.4% have very high type-2 diabetes risk score. It is found that the type-2 diabetes risk mean score of the women participating in the study who are adults, are married, have low education level, are unemployed, are non-smoker, do not drink alcohol and do not have any information about type-2 diabetes is statistically significantly high (p < 0.05). It is determined that 16.6% of the individuals participating in the study have high type-2 diabetes risk and 6.4% have very high type-2 diabetes risk.
Journal of the Korean Society of Clothing and Textiles
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v.19
no.3
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pp.434-447
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1995
This research was intended to identify variables influencing on risk perception and risk reduction behavior in clothing purchase situations. Responses from 631 female adults living in Seoul area were collected and analyzed. Towner for social occasions or working in office was used as clothing stimulus. The analysis included three product variables(price, style, type of clothing), 4 personality variables(generalized self-confidence, specific self-confidence, generalized informativeness, fashion informativeness), 2 clothing attitude variables(clothing importance, clothing interest), 4 demographic variables(age, educational level, occupation, income), and 3 situational variables(purchase planning, time pressure, effects of shopping company). Multiple regression revealed the fact that each type of clothing risk and each type of risk reduction behavior was influenced by the set of different variables. Generalized self- confidence and age and time pressure had more effects on clothing risk perception, while clothing risk reduction behavior was more influenced by clothing risk type, clothing interest, price of clothing and fashion informativeness. Implications for marketing strategies planning were also provided.
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.
This study attempted to examine a theoretical framework which synthesizes risk attitude, type of investment management and investment behavior and to provide the specific investment strategy by analysing several variables which have effect upon the investment behavior. The results of this research were as follow : 1. Risk attitude had significant differences by the variabels such as age, sex, education, income and debt/asset ratio. Also the type of investment management was influenced significantly by the variables such as age, education, occupation, income, total asset, debt/asset ratio, achievement motivation and risk attitude. The ratio of risky asset holdings was affected by the variabels such as age, education, occupation, housing ownership, income, total asset, debt/asset ratio, achievement motivation, risk attitude and type of investment management. 2. Among several variables affecting the ratio of risky asset holding risk attitude, education, type of investment management, debt/asset ratio and achievement motivation had direct effect on it. Besides age had indirect effect through risk attitude and age, achievement motivation and risk attitude had indirect effect through the type of investment management. 3. The results of this study showed that causal relation between input, throughput and output can be applied to household's investment behavior and the concept of risk or risk attitude can be applied to other fields except household's investment. Also it could be attributed to provide the investment strategy for improving level of household's financial well-being.
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.
The genotypes of Human Papilloma Virus (HPV) are important in the carcinogenesis of uterine cervical cancer. Diagnosis of uterine cervical cancer screening has been executed using Papanicolau method (Pap) and HPV DNA Chip method. We researched the interrelation of HPV DNA genotypes in single and multiple infections and analyzed the results of Pap and HPV DNA Chip tests at Gunsan Medical Center (GMC). The correlation analysis was surveyed on collected results from 599 patients who have been tested with both Pap and HPV DNA chip tests from November 2004 to May 2010 at GMC. The inconsistency between Pap and HPV DNA Chip tests was 41.1%. The HPV DNA Chip genotype related with high risk cases were type 16 (13.5%), type 52 (10.5%), type 58 (10.1%), and type 18 (3.4%). Those related with low risk cases were type 70 (8.9%), type 6 (1.7%), type 40 (1.2%), type 11 (1.3%), and other types (14.3%). Among the 195 cases of HPV positive status, 161 cases were associated with single infection; 108 (67.1%) cases were related with high risk genotype; 19 (11.8%) cases were low risk genotype; 31 (21.1%) cases were related with other types. 29 cases were associated with double infections; 23 (79.3%) cases were high risks; 5 (17.2%) cases were mixed high and low risks; 1 (3.5%) case was low risk.
Objectives: The aim of this study was to explore the prevalence of type 1 diabetes in patients with schizophrenia and their total medical costs and risk of hospitalization. Methods: This study used Health Insurance Review and Assessment Service data in Korea. To examine total medical costs and risk of hospitalization, we selected 1,510 subjects with schizophrenia (half with and half without type 1 diabetes) that were 1:1 matched via propensity score matching. In health care system perspective, total medical costs included out-of-pocket and insurer's costs. Logistic regression models were used to examine the risk of hospitalization. Results: The prevalence of type 1 diabetes in patients with schizophrenia was 3.87 per 1,000 person year. Among patients with schizophrenia, the amount of total average medical costs and hospitalization costs in patients with type 1 diabetes was 1.49 and 1.59 times higher than those in patients without it, respectively. The odds of hospitalization were higher among patients with type 1 diabetes compared with those without it (odds ratio, OR=1.97 ; 95% CI 1.60-2.43). Conclusion: This study showed that medical costs and risk of hospitalization were higher in schizophrenia patients with type 1 diabetes. Therefore, these individuals may require specific care programs.
Background: In modern society, depression is serious issue that causes socioeconomic and family burden. To decrease the incidence of depression, risk factors should be identified and managed. Among many risk factors for depression, this study examined socioeconomic risk factors for depression. Methods: We utilized first (2006), second (2008), and third (2010)-wave data from the Korean Longitudinal Study of Aging (KLoSA). Depressive symptom was measured with the 10-item Center for Epidemiological Studies Depression Scale, Short Form (CES-D-10) in the survey in 2008 and 2010. Three risk factors including job security, employment type and monthly income were measured in the survey in 2006. The association between risk factors and depressive symptom was analyzed by Cox proportional-hazard model. Results: We analyzed data from 1,105 workers and hazard ratios (HRs) for 3 risk factors were significant entirely. In addition, regular worker with high income group is the most vulnerable group of poor job insecurity on depression among male workers (HR: 1.73; 95% confidence interval [CI]: 1.07-2.81). Finally, HRs for 7 groups who had at least 1 risk factor had higher HRs compared to groups who had no risk factors after stratifying 3 risk factors. In the analysis, significantly vulnerable groups were total 5 groups and the group who had highest HR was temporary/daily workers with poor job security (HR: 2.51; 95% CI: 1.36-4.64). The results concerning women, regardless of job type, were non-significant. Conclusions: This study presented one or more risk factors among poor job security, low income, temporary/daily employment type increase hazard for depressive symptom in 2 or 4 years after the exposure. These results inform policy to screen for and protect against the risk of depression in vulnerable groups.
Journal of Sasang Constitution and Immune Medicine
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v.23
no.4
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pp.471-486
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2011
1. Objectives The purpose of this study was to investigate the high-sensitivity C-reactive protein (hsCRP) related characteristics found in each Sasang Constitutional type. 2. Methods This cross-sectional epidemiological study was conducted using data from 2,842 men and women. After typing each participant into one of the four Sasang constitutional types, they were analyzed on various cardiovascular disease-related variables. 3. Results 1) The predictors of cardiovascular disease (metabolic syndrome, high risk FRS group, high risk hsCRP group) was found to show the highest prevalence in the Taeeum type. 2) In the group with metabolic syndrome, the mean hsCRP concentration in the Taeeum and Soyang types were higher than in the Soeum type. In the group without metabolic syndrome, the mean hsCRP concentration in the Taeeum type were higher than in the Soyang and Soeum types. 3) In the FRS low risk group, the mean hsCRP concentration were higher in order of Taeeum type > Soyang type > Soeum type. In the FRS high risk group, the mean hsCRP concentrations were not significantly different among the Sasang constitutional types. 4. Conclusions The results of this study suggest that the Taeeum constitutional type is a risk factor for high hsCRP and cardiovascular disease. These findings suggest that the prevention of cardiovascular disease is more important in the Taeeum type compared to other constitutional types. Moreover, preventive measures are warranted even in the Taeeum-type persons with low clinical cardiovascular risk.
The purpose of this study was to examine the relationship among consumer's perceived risk of apparel purchase in internet shopping mall, control, and impulse buying. The subjects were 319 female college students in Gyeongsang provinces. The obtained data were analyzed by reliability analysis, analysis of frequency, factor analysis, cluster analysis, one-way ANOVA, Duncan's multiple range test, correlation analysis, and t-test. The major results of this study were as follows: First, three factors of consumer's perceived risk of apparel purchase in internet shopping mall were identified: size risk, trust risk, and social/psychological risk. Second, the subjects were categorized into three different types of groups according to perceived risk: high perceived risk type, middle perceived risk type, and low perceived risk type. Third, three control(self-control, goal-control, and desire for control) and three impulse buying(impulsive buying for showing off, impulsive buying for excitement, and impulsive buying due to memory) were identified. Fourth, there was significant difference between strong control group and weak control group on three factors of impulse buying. Fifth, a significant positive correlation was found size risk and three factors of control and a significant negative correlation was found self-control and three factors of impulse buying.
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