• Journal of Rhinology
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• v.60 no.1
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• pp.20-28
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• 2022

Background: Whether the use of electronic cigarettes (ECs) is associated with upper airway diseases, including chronic rhinosinusitis (CRS) and allergic rhinitis (AR), remains unclear. Methods: We analyzed data from the nationwide cross-sectional surveys: the Korea National Health and Nutrition Examination Survey VI (2013-2015), VII (2016-2018), and VIII (2019). Logistic regression analysis was performed to assess the association between EC use and CRS or AR. Results: Among a total of 38,413 participants, 6.4% were former EC users and 2.5% were current EC users. Former EC users and current EC showed a significantly increased OR for CRS or AR compared with never EC users. In the subgroup analysis, the "current CC (conventional cigarette)-current EC" and the "current CC-formal EC" group had a significantly higher OR for CRS or AR than the "current CC-never EC" group. In addition, former CC smokers who currently use ECs showed a significantly higher OR for AR than former CC smokers without EC use. Conclusions: EC use is significantly associated with a high prevalence of CRS and AR in the adult population. These results indicate that the use of ECs may increase the risk of upper airway disease.

• Journal of Korean Academy of Nursing
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• v.13 no.1
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• pp.7-21
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• 1983

For the flexible and rational distribution of limited existing health resources based on measurements of individual risk, the socalled Risk Approach is being proposed by the World Health Organization as a managerial tool in maternal and child health care program. This approach, in principle, puts us under the necessity of developing a technique by which we will be able to measure the degree of risk or to discriminate the future outcomes of pregnancy on the basis of prior information obtainable at prenatal care delivery settings. Numerous recent studies have focussed on the identification of relevant risk factors as the Prior infer mation and on defining the adverse outcomes of pregnancy to be dicriminated, and also have tried on how to develope scoring system of risk factors for the quantitative assessment of the factors as the determinant of pregnancy outcomes. Once the scoring system is established the technique of classifying the patients into with normal and with adverse outcomes will be easily de veloped. The scoring system should be developed to meet the following four basic requirements. 1) Easy to construct 2) Easy to use 3) To be theoretically sound 4) To be valid In searching for a feasible methodology which will meet these requirements, the author has attempted to apply the“Likelihood Method”, one of the well known principles in statistical analysis, to develop such scoring system according to the process as follows. Step 1. Classify the patients into four groups: Group $A_1$: With adverse outcomes on fetal (neonatal) side only. Group $A_2$: With adverse outcomes on maternal side only. Group $A_3$: With adverse outcome on both maternal and fetal (neonatal) sides. Group B: With normal outcomes. Step 2. Construct the marginal tabulation on the distribution of risk factors for each group. Step 3. For the calculation of risk score, take logarithmic transformation of relative proport-ions of the distribution and round them off to integers. Step 4. Test the validity of the score chart. h total of 2, 282 maternity records registered during the period of January 1, 1982-December 31, 1982 at Ewha Womans University Hospital were used for this study and the“Questionnaire for Maternity Record for Prenatal and Intrapartum High Risk Screening”developed by the Korean Institute for Population and Health was used to rearrange the information on the records into an easy analytic form. The findings of the study are summarized as follows. 1) The risk score chart constructed on the basis of“Likelihood Method”ispresented in Table 4 in the main text. 2) From the analysis of the risk score chart it was observed that a total of 24 risk factors could be identified as having significant predicting power for the discrimination of pregnancy outcomes into four groups as defined above. They are: (1) age (2) marital status (3) age at first pregnancy (4) medical insurance (5) number of pregnancies (6) history of Cesarean sections (7). number of living child (8) history of premature infants (9) history of over weighted new born (10) history of congenital anomalies (11) history of multiple pregnancies (12) history of abnormal presentation (13) history of obstetric abnormalities (14) past illness (15) hemoglobin level (16) blood pressure (17) heart status (18) general appearance (19) edema status (20) result of abdominal examination (21) cervix status (22) pelvis status (23) chief complaints (24) Reasons for examination 3) The validity of the score chart turned out to be as follows: a) Sensitivity: Group $A_1$: 0.75 Group $A_2$: 0.78 Group $A_3$: 0.92 All combined : 0.85 b) Specificity : 0.68 4) The diagnosabilities of the“score chart”for a set of hypothetical prevalence of adverse outcomes were calculated as follows (the sensitivity“for all combined”was used). Hypothetidal Prevalence : 5％ 10％ 20％ 30％ 40％ 50％ 60％ Diagnosability : 12% 23% 40% 53% 64% 75% 80%.

• The Journal of Korean Physical Therapy
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• v.17 no.2
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• pp.22-37
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• 2005

This study was performed to investigate LBP(low-back pain) prevalence rate and its related factors inphysical therapists. A self-administered questionnaire survey was conducted to 522 physical therapists in Daegu and Gyeongsangbuk. The LBP prevalence rate for recent 6 months was $61.7\%$. According to age, the prevalence rate was highest in the group aged 24 or less for both male and female physical therapistis. For male physical therapists , it was higher in smokers and drivers, but for female ones, it was not in a significant relationship with smoking and driving. According to work experience, the prevalence rates of those who had been working for less than one year were the highest, and those who had been working at hospitals and clinics were $69.1\%$, significantly high. According to therapy techinque, the prevalence rate related ti PNF was $71.6\%$, the highest and to occupational therapy was $34.3\%$, the lowest. According to working environment for six months, in both male and female physical therapists. LBP prevalence rate was in a statistically significant relationship with work hours during the day, night and weekend duties, repetitive works, motions that bend or twist the waist, the number of patients per day, the number of time to help patients per day, the number of time to carry medical equipment per day and the length of time to work standing. The rate was also higher when physical therapists fekt nire stress from their work. According to the result of multiple logistic regression analysis, male was in a significant relationship with work experience and motions that bend or twist the waist and female was in a significant relationship with work hours during the night and weekend duties, the number of time to help patients per day, motions that bena or twist the waist, actions taken to protect the waist. As for the developmental pattem of LBP in the group of physical therapists with LBP for six moths, $15.7\%$ of them had LBP for first time, $42.3\%$ had recurred LBP, and $42.0\%$ had chronic LBP. As for the causes of LBP, $51.7\%$ said that it was because they worked in the same posture for a long time, and as for how to treat LBP, 48.8% said that they treated themselvs or got help from their co-wokers. The results presented above suggest that physical therapists are exposed to high risk of LBP caused form occupational activities. Therefire, it is necessary to improve working environment to reduce the occurrence of LBP and to develop education programs for preventing the occurrence and recurrence of LBP.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.2
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• pp.861-865
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• 2014

Background: High risk HPV (HR-HPV) testing has been recommended as an effective tool along with cytology screening in identification of cervical intraepithelial lesions (CINs) and prevention of their progress towards invasive cervical cancer. The aim of this study was to assess the HR-HPV DNA status by Hybrid Capture 2 (HC2) assay in healthy asymptomatic women of North-East India. Materials and Methods: This study examined cervical cell samples of forty three (n=43) healthy women by HC2 assay. A High Risk HPV DNA kit (Qiagen) was used which can detect 13 high risk HPV types: 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59 and 68. Results: The mean relative light units (RLU) for samples was in the range of 141-5, 94, 619. HR-HPV DNA was confirmed in 16% (7/43) of participant women samples. Among demographic and clinical parameters, menstrual irregularity (p=0.039) and infection history (p=0.028) has shown statistically significant differences between the HR-HPV-positive and negative groups. In the HR-HPV positive group, two women were confirmed for CINs after colposcopy and histopathologic examination. Conclusions: We suggest that there may be an association between irregular menstruation and infection history of the urogenital tract with HR-HPV DNA prevalence in North-East Indian asymptomatic women. HC2 assay can be a valuable tool for HR-HPV screening.

• Journal of the Korean Society of Food Culture
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• v.18 no.2
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• pp.123-133
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• 2003

The purpose of this study is to compare the correlation of clinical characteristics and patterns of disease. Subjects of the study were the adults(207) living in Geoje City, the diabetes mellitus and the hypertension patients(166) and the normal people(41). In the diabetes mellitus group and the hypertension group, blood pressure, blood glucose, total cholestero LDL-cholesterol and atherogenic index(AI) were significantly high. As the obesity index was getting higher, the blood pressure of the diabetes mellitus group was high, and the HDL-cholesterol of the hypertension group was low, but AI of it was significantly high. The AI was significantly high as serum lipid index were getting higher in both groups. The rate of the prevalence was very high in the diabetes mellitus group(74.3%) and the hypertension group(73.7%). The pattern in the diabetes mellitus group was in order of the hypertension, the hyperlipidemia, and the obesity but, in the hypertension group was the hyperlipidemia, and the obesity. The obesity index and serum lipid index of complex patient group were higher than single patient group.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.4
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• pp.392-399
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• 2016

This study examined the distribution of metabolic syndrome according to the age groups among the elderly people to reveal the sociodemographic and health related factors. The survey in 2011~2014 from the National Health Insurance Corporation under regular medical check-ups, which received a recognition survey targeted 1,756 people aged over 70. Multiple logistic regression was performed on the relation metabolic syndrome and its related factors. As a result, the risk ratio for metabolic syndrome increased significantly in females than in males, living with a family than living alone, high economic status than in the low group, obese than in the normal weight group, have a history of stroke group than the no history group, smoking group than the non-smoking group, and drinking group than the non-drinking group. The distribution of metabolic syndrome differed significantly according to the sociodemographic characteristics and health-related variables.

• Korean Journal of Community Nutrition
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• v.21 no.4
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• pp.378-385
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• 2016

Objectives: This study was conducted to investigate the association between sarcopenia and sarcopenic obesity and cardiovascular disease risk in Korean postmenopausal women. Methods: We analyzed data of 2,019 postmenopausal women aged 50-64 years who participated in the Korea National Health and Nutrition Examination Survey in 2008-2011 and were free of cardiovascular disease history. Blood pressure, height, and weight were measured. We analyzed the serum concentrations of glucose, total cholesterol, high density lipoprotein cholesterol, low density lipoprotein cholesterol and triglyceride levels. Waist circumference was used to measure obesity. Appendicular skeletal muscle mass was measured by dual-energy X-ray absorptiometry. Sarcopenia was defined as the appendicular skeletal muscle mass/body weight<1 standard deviation below the gender-specific means for healthy young adults. The estimated 10-year risk of cardiovascular disease risk was calculated by Pooled Cohort Equation. Subjects were classified as non-sarcopenia, sarcopenia, or sarcopenic obesity based on status of waist circumference and appendicular skeletal muscle mass. Results: The prevalence of sarcopenia and sarcopenic obesity was 16.3% (n=317) and 18.3% (n=369), respectively. The 10-year risk of cardiovascular disease risk in the sarcopenic obesity group was higher ($3.82{\pm}0.22%$) than the normal group ($2.73{\pm}0.09%$) and sarcopenia group ($3.17{\pm}0.22%$) (p < 0.000). The odd ratios (ORs) for the ${\geq}7.5%$ 10-year risk of cardiovascular disease risk were significantly higher in the sarcopenic obesity group (OR 3.609, 95% CI: 2.030-6.417) compared to the sarcopenia group (OR 2.799, 95% CI: 1.463-5.352) (p for trend < 0.000) after adjusting for independent variables (i.e., exercise, period of menopausal, alcohol use disorders identification test (AUDIT) score, income, education level, calorie intake, %fat intake and hormonal replacement therapy). Conclusions: Sarcopenia and sarcopenic obesity appear to be associated with higher risk factors predicting the 10-year risks of cardiovascular disease risk in postmenopausal women. These findings imply that maintaining normal weight and muscle mass may be important for cardiovascular disease risk prevention in postmenopausal women.

• Journal of Korean Academy of Rural Health Nursing
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• v.4 no.1
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• pp.13-21
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• 2009

Purpose: This study was done to investigate the prevalence and related factors of Clonorchis Sinensis for inhabitants of the Han riverside area and to identify knowledge related to Clonorchis Sinensis and intended behavioral changes to decrease risk of infection. Method: The data were collected from December 16, 2008 to January 10, 2009. Participants were 555 people who responded to a questionnaire. Frequency, percentage, $X^2$-test, and t-test were used to analyze the data. Results: The prevalence of Clonorchis Sinensis was 7.9% in this population. Related factors for Clonorchis Sinensis were gender (male=10.8%, female=3.6%, p=0.002) and smoking (p=0.007). but habits related to ingestion of alcohol and raw fish were not significant. As for knowledge of Clonorchis Sinensis, the Clonorchiasis group had a mean score of 10.09 $({\pm}3.95)$ of a possible 17 compared to a score of only 8.27$({\pm}4.60)$ for the negative group (p=0.011). The intended behavioral change related to risk of infection, according to presence of infection or not, was significant (p=0.004). Conclusion: These results suggest that Clonorchiasis is still highly endemic in all risk areas such as the Han riverside, indicating that it is necessary to set up effective management programs for patient care and prevention of Clonorchis Sinensis.

• Biomedical Science Letters
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• v.22 no.4
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• pp.189-198
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• 2016

The purpose of this study was to examine the effect of social support on type 2 diabetes by classifying it into diabetes and impaired fasting blood sugar, a pre-diabetic state. Subjects of this study were 22,846 adults aged 30 years or above who agreed and registered to participate in the "Korean Health Examine Cohort (KOEX)" study that simultaneously collects questionnaires and biological samples at 8 university hospitals around the nation. Normal fasting blood sugar was defined as below 100 mg/dL, and impaired fasting blood sugar was defined as 100~125 mg/dL. Diagnosis of diabetes was defined as fasting blood sugar of 126 mg/dL or above, diagnosis by a doctor, or medication of insulin or oral hypoglycemic agent. Social support groups were divided into 4 groups, and Group 1 (G1) had high positive support and low negative support. This is the reference group with the highest social support. During multivariate analysis, female group (G3) that had high positive support and high negative support showed prevalence of impaired fasting blood sugar 1.19 times higher (95% CI = 1.02~1.41) than G1. As this study confirmed that social support increases fasting blood sugar of women after correction for socioeconomic status, health behavior, and biological and medical variables, it implies the importance of social relations such as social support in addition to management of personal risk factors for prevention of type 2 diabetes.

• Korean Journal of Health Education and Promotion
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• v.26 no.1
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• pp.81-92
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• 2009

Objectives: This study set out to investigate the relationship among the factors of metabolic syndrome diagnosis criteria, their risk factors including general characteristics, and the distribution of the diagnosis criteria and risk among the adult residents of a rural community. Methods: Among 1,968 residents, those who had three or more of the risk factors of metabolic syndrome, which include blood pressure, blood glucose, triglyceride, abdominal obesity, and HDL-C, were categorized as the metabolic syndrome group. And their correlations were analyzed. Results: As for the risk ratio with five factors of the metabolic syndrome diagnosis criteria, it was high according to age and smoking. In addition, the results show that body fat percentage, hs-CRP, insulin, BMI, PP2, total cholesterol, and W/Ht also had much impact on increasing the risk ratio of the metabolic syndrome diagnosis criteria. It turned out that metabolic syndrome was affected by the body mass index(BMI), insulin, waist to height ratio(W/Ht), and hs-CRP. It was 2.51 times crude odds ratio that BMI over the 25kg/m2 in the ratio of the fact of metabolic syndrome and adjusted for sex odds ratio 2.50times and W/Ht was 3.31times, adjusted for sex odds ratio 3.25 times. Conclusion: BMI, W/Ht and smoking of the general characteristics seem to have close relationships with high correlations between the metabolic syndrome diagnosis criteria and the risk factors. Thus there is an urgent need to evaluate them and take interventions and monitoring measures for the clustering of risk factors.