• The Korean Journal of Nuclear Medicine Technology
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• v.16 no.2
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• pp.25-28
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• 2012

Purpose : It is important to reduce radiation dose associated with computed tomography (CT) scanning to as low as reasonably achievable (ALARA). With Dose Modulation Technic, user select a desired image quality and the system adapts tube current to obtain the desired image quality with greater radiation dose efficiency. In this paper, we presents a comprehensive description of fundamentals, clinical applications and radiation dose benefits of Dose Modulation Technic depending on Body Mass Index(BMI). Materials and Methods : In this study, 149 patients were examined(The mean age : $58{\pm}12.4$ years old). Biograph True Point 40 (Siemens, USA) and Gemini TF 64 (Philips. Cleveland) were used for equipment. When we used Care Dose 4D (Siemens, USA) and D-dom (Philips, Cleveland), we measured dose reduction and Computed Tomography Dose Index (CTDI) depending on BMI. Then we analyze data using SPSS Ver.18. Results : When we used Care Dose 4D, p-value is considered statistically significant by groups with the result that we compared Care Dose 4D with D-dom. On the other hand, p-value isn't considered statistically significant by groups using D-dom. Conclusion : Dose modulation based on the projection angle didn't affect degree of obesity. And When using Care Dose 4D, dose reduction rate in the normal patients were higher than the obese. In this study, there are errors on somato type. So I think more research have to be done. Then application of Dose Modulation technic can help in maintaining acceptable image quality while reducing radiation dose by 20-60% in most instances.

• Journal of Preventive Medicine and Public Health
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• v.24 no.2 s.34
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• pp.195-210
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• 1991

Fatty liver is caused by derangement of fat metabolism and can be reversed by removal of contributing factors. The contributing factors of fatty liver is known to be overweight, chronic alcoholism, diabetes mellitus, malnutrition, and drug abuse such as tetracycline. This study was carried out on 1335 persons who visited 'Soon Chun Hyang Human Dock Center' from March to June 1990. In analysis of the data, prevalence of fatty liver diagnosed by ultrasonogram by age and sex, laboratory finding between fatty liver group and normal group, and odds ratio of known contributing factors, were compared. The results obtained are as following ; 1) The prevalence rate of fatty liver diagnosed by ultrasonogram is 29.6% in male and 11.5% in female. 2) Age groups with high prevalences are $40{\sim}50's$ in male (32.0%) and 50's in female (24.5%). 3) The fatty liver shows significant association with style (p<0.05), whereas not with hepatitis B-virus surface antigen (p>0.05). 4) All laboratory values except alkaline phosphatase and bilirubin are elevated significantly in accordance with the degree of fatty liver (p<0.01). 5) Fatty liver diagnosed by ultrasonogram showed so strong associations with body index, triglycerides and gamma-glutamyl transferase for males, and body index and fasting blood sugar for females that these factors may be used as supplementary data in establishing diagnosis of fatty liver. 6) Odds ratio of contributing factors are as follows ; If the odds ratio of below 29 year of age is 1.0 then that of $30{\sim}39$ is 1.74 (p=0.33), $40{\sim}49$ is 2.47 (p=0.10), $50{\sim}59$ is 2.86 (p=0.0570), over 60 is 1.81 (p=0.34). If the odds ratio of female is 1.0 then that of male is 5.67 (p<0.01). If the odds ratio of body index below zero is 1.0 then that of $0{\sim}9$ is 5.08 (p<0.01), $10{\sim}19$ is 12.37 (p<0.01), $20{\sim}29$ is 29.19 (p<0.01), 30 above is 154.02 (p<0.01). If the odds ratio of below 99 mg/dl FBS is 1.0 then that of $100{\sim}120$ is 106 (p=0.76), over 120 is 1.91 (p=0.02). If the odds ratio of below $29{\mu}/1{\gamma}-GT$ is 1.0 then that of $30{\sim}s59$ is 2.11 (p<0.01), $60{\sim}90$ is 1.87 (p<0.05), 90 above is 1.69 (p=0.15). If the odds ratio of below 149 mg/dl TG is 1.0 then $150{\sim}199$ is 1.49 (p=0.05), $200{\sim}250$ is 1.09 (P=0.77), 250 above is 2.53 (p<0.01). In summary, early diagnosis of fatty liver could be made by ultrasonogram supplemented with body index and nm triglyceride. The fatty liver could be preventive by avoiding contributing factors such as obesity, alcohol intake, high blood sugar appropriately.

• Journal of Sasang Constitution and Immune Medicine
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• v.8 no.1
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• pp.349-376
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• 1996

In orther to find the characteristics of each constitution, the examinee of Kyung Hee medical center was diagnosed constitution, and resulted body measures and diagnosis. That was considered and the results are as follows 1. The Diagnosis result of Sa-sang Constitutional Medicine is that there are 110 persons of Taeum-In(56. 1%), 58 persons of Soum-In(29.6%), 28 persons of Soyang-In(14. 3%). 2. The distribution of occupation, there are many of Taeum-In who are engaged in business, administeration, and management and many of Soeum-In who are engaged in reserch. 3. QSCC(I) has a tendency that other constitutions diagnose to Taeyang-In, the quastionare 1 has the accuracy of 76. 4% to diagnose Soeum-In. 4. Taeum-In sweats easily but Soeum-In doesn't sweat easily, Taeum-In has a good appetite and likes cold food and digests well, but Soeum-In has a poor appetite and like hot food and digest poorly. 5. The degree of obesity is the highest in Taeum-In. 6. The systoric blood pressure and diastolic blood pressure is high in Taeum-In and the high blood pressure are frequent in Taeum-In. 7. Triglyceride is the highest in Taeum-In and the Hyperlipidemia is the most frequent in Taeum-In, but Total cholesterol has no difference among constitutions. 8. GPT GGT is higher in Taeum-In than Soyang-In, but GOT has no difference among constitutions. 9. The frequency of fatty liver is the highest in Taeum-In.

• Journal of the Korean Society of Food Science and Nutrition
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• v.36 no.7
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• pp.840-848
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• 2007

This study was performed in order to investigate the stress levels, sleep, anthropometric measurement and nutrient intakes their correlations of college students. General characteristics, stress scores using a stress test, sleep scores using a sleep test, anthropometric measurement, body composition using Inbody 3.0 and nutrient intakes using 3-day recalls were measured in 353 subjects (183 males and 170 females). Mean total stress score of the male students was 68.2${\pm}$45.0 and that of the female students was 86.5${\pm}$48.7. Stress for study, future, economic and value-related factors were higher than other factors in both male and female students. Female students were more stressed than male in friend, family, study, future and value-related factors. Mean sleeping time and sleep scores of the male students were 7.0 hrs and 40.6${\pm}$5.7, respectively and that of the female students were 7.1 hrs and 41.5${\pm}$5.3, respectively. Mean height, weight, percent body fat (PBF) and waist-hip ratio (WHR) of the male students were 174.8 cm, 73.3 kg, 19.0% and 0.84, respectively. Mean height, weight, PBF, and WHR of the female students were 161.7 cm, 55.3 kg, 28.7% and 0.81, respectively. Mean energy and protein intakes of the male students were 2026.3 kcal (77.9% EER) and 83.0 g (150.9% RI) and those of the female students were 1538.2 kcal (73.2% EER) and 60.7 g (134.9% RI), respectively. In male students, sleep duration, professor and future problem showed significantly negative correlation (p<0.05). For both male and female students, in correlations between sleep scores, life stress experience frequency and importance, the total scores showed significantly negative correlation (p<0.01). Sleep scores (sleep quality) have more significant correlation than sleep duration in life stress. In male students, correlations between economic problem and weight, waist circumference and hip circumference showed significantly negative correlation. In female students, correlations between different gender problem and body mass index (p<0.05), PBF (p<0.01), WHR (p<0.01) and obesity degree (p<0.05) showed significantly negative correlation while correlation between study problem and PBF (p<0.05), WHR (p<0.05) showed significantly positive correlation. In male students, there were significantly positive correlations between life stress experience frequency and carbohydrate calcium, iron, vitamin A; correlation between importance and calcium, iron as well as correlation between total life stress scores and iron (p<0.05). In female students, correlation between life stress experience frequency and thiamin along with correlation between importance and thiamin showed significant negative correlation (p<0.05). College students need to practice good life habits for the purpose of correctly managing life stress.

• Sleep Medicine and Psychophysiology
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• v.11 no.1
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• pp.22-28
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• 2004

Objective: The purpose of this study is to investigate the prevalence rate of OSA in subjects whose main sleep complaint is insomnia and to find differential factors of OSA in these insomniac subjects. Method: We reviewed the medical records and polysomnographic findings of patients referred to the Sleep Laboratory at Seoul National University Hospital from January 1996 to December 2002. Four-hundred and seventy subjects complained of insomnia as their main sleep problem (235 males and 235 females, mean age $53.6{\pm}12.4\;years$). First, we investigated the prevalence rate of OSA in these insomniac patients. Second, we compared the clinical and demographic characteristics of the OSA-associated group with those of the non-associated group. Third, we examined whether the degree or presence of differential factors within the OSA group correlate with severity of OSA, as determined by the respiratory disturbance index (RDI). Results: Among 470 insomniac subjects, 125 subjects (26.6%) were diagnosed as OSA by nocturnal polysomnography. OSA-associated subjects were significantly older ($58.4{\pm}12.3\;years$ vs. $51.8{\pm}11.2\;years$, p<0.01), and had significantly higher body mass index (BMI) ($23.4{\pm}3.3\;kg/m^2$ vs. $22.5{\pm}3.1\;kg/m^2$, p=0.44) than non-associated subjects. The OSA-associated group had more subjects with male gender (64.0% vs. 44.9%, p<0.01), hypertension (20.0% vs. 9.3%, p<0.01) or snoring (96.0% vs. 63.5%, p<0.01). Within the OSA-associated group, age had a significant positive correlation with RDI (p=0.01). Conclusion: We found that a considerable portion of patients complaining of insomnia as their main sleep problem were diagnosed as OSA. Snoring, old age, male gender, obesity, and comorbid hypertension were found to be differential factors of OSA in insomniac patients. We suggest that diagnostic efforts including nocturnal polysomnography are needed for insomniac patients with any of the above risk factors of OSA.