• Biomedical Science Letters
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• v.18 no.3
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• pp.260-267
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• 2012

Obesity is associated with cardiovascular risk factors, such as dyslipidemia, hypertension and diabetes. However the presence of the obesity related deranged metabolic profiles varies widely among obese individuals. These individuals, known as 'metabolically healthy obese phenotype (MHO)', despite having excessive body fatness, display favorable metabolic profiles characterized by insulin sensitivity, no hypertension, as well as less dyslipidemia, less inflammation. The purpose of this study was to compare cardiac characterization and clinical profile of MHO and Non-MHO (nonmetabolically healthy obese) subjects in men. We measured treadmill exercise capacity (METs) and maximum blood pressure (BP) in 210 subjects through a medical checkup at J General Hospital. Metabolic syndrome was defined according to the modified Adult Treatment Panel III definition criteria. Both MHO and Non-MHO subjects showed statistically significant changes in the left ventricular mass index (P<.001, P<.01, respectively), A-velocity (P<.01, P<.001, respectively), E/A ratio (P<.01, P<.001, respectively), E'-velocity (P<.001, P<.001, respectively), HOMA-IR (P<.01, P<.001, respectively) and maximum systolic BP (P<.01, respectively) compared with the MH-NO (metabolically healthy non obese) subjects. In conclusion, MHO participants were at increased risk of cardiovascular disease and partly metabolic disorder.

• Korean Journal of Clinical Laboratory Science
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• v.49 no.3
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• pp.248-255
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• 2017

Increased hepatic enzymes are associated with insulin resistance, metabolic complications, and type 2 diabetes mellitus. Metabolically healthy obese (MHO) phenotype is not accompanied by metabolic complications and maintains insulin sensitivity, despite excessive body fat. The purpose of this study was to evaluate the clinical implications of hepatic enzymes in MHO men. The diagnostic criteria for MHO were based on NCEP-ATP III and obesity in adults was defined using WHO Asian-Pacific criteria. We used the data from 9,683 obese men aged between 20 and 70 years. The subjects were divided into three groups according to the diagnostic criteria: The metabolically healthy non-obese (MHNO, N=2,878), metabolically healthy obese (MHO, N=5,427), and metabolically abnormal obese (MAO, N=1,378). Obesity criteria were classified according to the standards set forth by WHO Asia-Pacific Criteria. AST, ALT, and GGT were significantly lower in the MHO group than in the MAO group (p<0.001, respectively). However, the hepatic enzyme levels were higher in the MHO group than in the MHNO group (p<0.001). Liver enzymes were associated with metabolic syndrome risk factors. Waist circumference, fasting glucose, total cholesterol, triglyceride, and HDL-C were risk factors for metabolic syndrome affecting liver enzymes. In conclusion, hepatic enzymes were found to predict metabolic abnormalities in metabolically healthy obese men.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.619-626
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• 2016

The purpose of this study was to investigate effects of physical activity and sedentary life in metabolically healthy obesity(MHO) and metabolically unhealthy obesity(MUO). A total of 1585 middle-aged obesity men and women participated in this study. The subjects were divided to MHO(n=840) and MUO(n=745) by metabolic syndrome markers(National Cholesterol Education Program-Adult Treatment Panel III). We analyzed measurement data using t-test. As results, physical activity and exercise participant between group had not significant difference in men subjects. But, in women subjects, total physical activity volume and muscle strength exercise participant between group had a significant difference. In conclusion, we suggest that physical activity and exercise participant are important factors affecting health status in the same level of obesity women.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.477-488
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• 2017

The purpose of this study was to investigate difference of Physical Activity and Sedentary Life according to Health and Obesity status. A total of 4,783 adults participated in this study. The subjects were divided to four group(metabolically healthy normal weight; MHNW, metabolically unhealthy normal weight; MUNW, metabolically healthy obesity; MHO, metabolically unhealthy obesity; MUO) and analyzed clinical character, physical activity, and sedentary life time. As results, Compared with MHNW, MHO was higher physical activity and sedentary time but there was no notable differences. Compared with MHNW, MUNW was higher physical activity and lower sedentary time but there was no notable differences. Compared with MUNW, MHO was lower physical activity and sedentary time but there was no notable differences. In conclusion, we suggest that MHO has high physical activity comparing nomal weight group relatively.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.14 no.2
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• pp.47-58
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• 1981

Relationships between the electrical conductivity and the contents of the chloride, sulfate, calcium, magnesium, sodium, potassium and total major inorganic ions, and between each, chemical conservative constituents were calculated with the data which sampled at the lesions of Mulgeum and between Namji and Wondong from March 1974 to April 1980. Semilogarithmic relations were found between the electrical conductivity and the contents of monovalent ions, and logarithmic relations were found between the electrical conductivity and the contents of divalent ions at the both regions. The relational equations between the electrical conductivity $\lambda_{25}$and the contents of the major inorganic ions at Mulgeum are as follows: $log\;Cl(ppm)\;=\;2.37{\cdot}\lambda_{25}(m{\mho}/cm)+0.733{\pm}0.141$, $log\;SO_4(ppm)=1.12{\cdot}log\lambda_{25}(m{\mho}/cm)+2.14{\pm}0.18$, $log\;Ca(ppm)=0.615{\cdot}log\lambda_{25}(m{\mho}/cm)+1.67{\pm}0.12$, $log\;Mg(ppm)=0.756{\cdot}log\lambda_{25}(m{\mho}/cm)+1.27{\pm}0.11$, $log\;Na(ppm)=2.82{\cdot}\lambda_{25}(m{\mho}/cm)+0.551{\pm}0.133$, $log\;K(ppm)=1.33{\cdot}\lambda_{25}(m{\mho}/cm)+0.136{\pm}0.095$, and total inorganic ions $C(ppm)=399{\cdot}\lambda_{25}(m{\mho}/cm)-0.9{\pm}14.6$. The relational equations between the electrical conductivity ($\lambda_{25}$) and the contents of the major inorganic ions at the region between Namji and Wondong a.e as follows: $log\;Cl(ppm)=4.27{\cdot}\lambda_{25}(m{\mho}/cm)+0.380{\pm}0.138$, $log\;SO_4(ppm)=0.915{\cdot}log\lambda_{25}(m{\mho}/cm)+1.95{\pm}0.18$, $log\;Ca(ppm)=0.756{\cdot}log\lambda_{25}(m{\mho}/cm)+1.74{\pm}0.12$, $log\;Mg(ppm)=1.00{\cdot}log\lambda_{25}(m{\mho}/cm)+1.41{\pm}0.10$. $log\;Na(ppm)=2.47{\cdot}\lambda_{25}(m{\mho}/cm)+0.614{\pm}0.065$, $log\;K(ppm)=1.62{\cdot}\lambda_{25}(m{\mho}/cm)+0.030{\pm}0.060$, and total inorganic ions $C(ppm)=323{\cdot}\lambda_{25}(m{\mho}/cm)+11.7{\pm}9.3$. Logarithmic relations were found between each chemical conservative constituents at Mulgeum and the equations are as follows: $log\;Cl(ppm)=0.711{\cdot}log\;SO_4(ppm)+0.488{\pm}0.206$, $log\;Cl(ppm)=0.337{\cdot}log\;Ca(ppm)+0.822{\pm}0.130$, $log\;Cl(ppm)=0.605{\cdot}log\;Mg(ppm)-0.017{\pm}0.154$, $Cl(ppm)=0.676{\cdot}Na(ppm)+2.31{\pm}4.67$, $log\;Cl(ppm)=0.406{\cdot}log\;K(ppm)-0.092{\pm}0.112$, $log\;SO_4(ppm)=0.378{\cdot}log\;Ca(ppm)+0.721{\pm}0.125$, $log\;SO_4(ppm)=0.462{\cdot}log\;Mg(ppm)+0.107{\pm}0.118$, $log\;SO_4(ppm)=0.592{\cdot}log\;Na(ppm)+0.313{\pm}0.191$, $log\;SO_4(ppm)=0.308{\cdot}log\;K(ppm)-0.019{\pm}0.120$, $Ca(ppm)=0.262{\cdot}Mg(ppm)+0.74{\pm}1.71$. $log\;Ca(ppm)=1.10{\cdot}log\;Na(ppm)-0.243{\pm}0.239$, $Ca(ppm)=0.0737{\cdot}K(ppm)+1.26{\pm}0.73$, $log\;Mg(ppm)=0.0950{\cdot}Na(ppm)+0.587{\pm}0.159$, $log\;Mg(ppm)=0.0518{\cdot}K(ppm)+0.111{\pm}0.102$, and $Na(ppm)=0.0771{\cdot}K(ppm)+1.49{\pm}0.59$. Logarithmic relations were found between each chemical conservative constituents except a relationship between the chloride and calcium contents at the region between Namji and Wondong, and the equations are as follows : $log\;Cl(ppm)=0.312{\cdot}log\;SO_4(ppm)+0.907{\pm}0.210$, $log\;Cl(ppm)=0.458{\cdot}log\;Mg(ppm)+0.135{\pm}0.130$, $Cl(ppm)=0.484{\cdot}logNa(ppm)+0.507{\pm}0.081$, $Cl(ppm)=0.0476{\cdot}K(ppm)+1.41{\pm}0.34$, $log\;SO_4(ppm)=0.886{\cdot}log\;Ca(ppm)+0.046{\pm}0.050$, $log\;SO_4(ppm)=0.422{\cdot}log\;Mg(ppm)+0.139{\pm}0.161$, $log\;SO_4(ppm)=0.374{\cdot}log\;Na(ppm)+0.603{\pm}0.140$, $log\;SO_4(ppm)=0.245{\cdot}log\;K(ppm)+0.023{\pm}0.102$, $log\;Ca(ppm)=0.587{\cdot}log\;Mg(ppm)+0.003{\pm}0.088$, $log\;Ca(ppm)=0.892{\cdot}log\;Na(ppm)+0.028{\pm}0.109$, $log\;Ca(ppm)=0.294{\cdot}log\;K(ppm)-0.001{\pm}0.085$, $log\;Mg(ppm)=0.600{\cdot}log\;Na(ppm)+0.674{\pm}0.120$, $log\;Mg(ppm)=0.440{\cdot}log\;K(ppm)+0.038{\pm}0.081$, and $log\;Na(ppm)=0.522{\cdot}log\;K(ppm)-0.260{\pm}0.072$.

• MALSORI
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• no.29_30
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• pp.1-18
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• 1995

미국 남부 방언은 그 지역의 광대함과 아울러 그 지역에 속하는 언어사용자들의 언어 문화 및 역사적인 다양성에 의해 결코 한 가지 방언으로 취급할 수 없는 것임에도 불구하고 많은 경우에 그렇게 다루어져 왔다. 특히 소위 '남부 방언의 특징적 요소'로서 몇몇 자질들에 대한 연구가 많이 이루어져 왔다. 본 논문의 목적은 텍사스 지역방언에 이러한 남부 방언의 특징적 자질이 어느 정도 유지되고 있는가를 알아보고, 아울러 두 세대간에 언어적 차이가 있는지, 있다면 그 변화의 방향은 어느 쪽으로 전개되어가고 있는지를 밝히려는 데 있다. 이를 위하여 토박이 텍사스 인에 한하여 한 가정에서 두 세대(늙은 세대와 젊은 세대)를 대표하는 정보제공자 두 명씩을 각각 추출하여 네 가정 모두 여덟 명에게서 얻은 언어자료를 녹음하여 이를 분석, 정리하였다. 텍사스 지역방언에 대해 밝혀진 주요 내용은 다음과 같다. 1. /l/앞에 나오는 단순모음 /i/는 [$r{\partial}$] 또는 [$r{\partial}$]로 이중모음화된다. 2. 강세음절에서 비음 앞에 나오는 /e/와 /I/는 중화된다. 3. 늙은 세대에서는 /a/와 /${\supset}$/가 융합되어 쓰이나, 젊은 세대에서는 융합이 일어나지 않는다. 4. 이중모음 /ar/는 /a:/또는 /a/로 단순모음화하는 것으로 보인다. 5. 이중로음 /$a{\mho}$/ /$o{\mho}$/의 앞모음이 전설화한다. 6. [u], [ju] 와 [${\mho}$]는 모두 [${\mho}$]로 된다. 7. [w] 와 [M]는 일관성 없이 교대로 사용되나 [M]는 특히 늙은 세대에서 더 많이 사용된다.

• Nutrition Research and Practice
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• v.13 no.6
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• pp.488-497
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• 2019

BACKGROUND/OBJECTIVES: There are various factors that affect metabolic abnormalities related to obesity. The purpose of this study is to analyze the differences in dietary intakes and body compositions of obese women according to metabolic risks and to classify them as metabolically healthy obese (MHO) or metabolically abnormal obese (MAO). SUBJECTS/METHODS: This study was conducted on 59 obese Korean women aged 19 to 60 years. NCEP-ATPIII criteria were applied and the women classified as MHO (n = 45) or MAO (n = 14). Body composition of each subject was measured by using dual-energy x-ray absorptiometry (DEXA). Three-day food records were used to analyze dietary intake. Eating habits and health-related behaviors were determined through questionnaires. Indirect calorimetry was used to measure resting metabolic rate and respiratory rate. RESULTS: The average age of the subjects was 43.7 years. The analysis of body composition according to phenotype revealed significantly higher body fat mass (P < 0.05), arm fat mass (P < 0.05), and android fat mass (P < 0.05), as measured by DEXA, in the MAO group than in the MHO group. There was no significant difference in the dietary intake of the two groups. However, eating behaviors differed. Compared to the MHO group, the MAO women had a shorter meal time (less than 10 minutes), a preference of oily foods, and a tendency to eat until full. Therefore, the eating habits of MHO women were more positive than those of MAO women. CONCLUSIONS: The results suggest that fat distribution in each body region affects various metabolic abnormalities. A high level of arm fat mass in obese Korean women may increase metabolic risk. In addition, eating habits of obese Korean women are considered to be environmental factors affecting the metabolic phenotype of obese Korean women.

• Journal of the Korean Geophysical Society
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• v.6 no.2
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• pp.79-87
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• 2003

An in-situ four-electrode contact resistivity probe system was designed, and field-tested in submarine sediments. Seismic survey was also performed to support and compare the results of electric survey. The probe was designed to be driven to selected depths below the seafloor using a Vibracore system. The four insulated electrodes were, spaced equidistant across the wedge, were extended beyond the probe tip to minimize effects of sediment disturbance by the wedge insertion. In-situ measurements of resistivity were recorded on board by precision electronic equipment consisting of signal generators and processors, and by temperature- monitoring systems. Overall limits of uncertainty at respective depths below the seafloor are up to ±10% of the measured values. Best estimates of conductivity are considered to be ±3 percent of the reported values. Resistivity measurements were made at six sites in carbonate sediments to a maximum depth of penetration of about 5 m. Average values of conductivity range between 0.88 and 1.21 mho/m. The results show the seabed is composed of alternating layers of relatively high-conductivity material (0.8 to 1.4 mho/m) in thicknesses of more or less one meter and layers about 30 cm thick having relatively low conductivities (0.4 to 0.8 mho/m).

• Biomedical Science Letters
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• v.24 no.3
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• pp.245-252
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• 2018

Heart rate recovery (HRR) is simply an indicator of autonomic balance and is a useful physiological indicator to predict cardiovascular morbidity and mortality. The purpose of this study was to compare the differences in HRR between metabolically healthy obesity group and metabolically unhealthy obesity and to ascertain whether heart rate recovery is a predictor of metabolic syndrome. Metabolic syndrome was defined according to the standards of the National Cholesterol Education Program Adult Care Panel III. Obesity was assessed according to WHO Asian criteria. It was classified into three groups of metabolically healthy non-obesity group (MHNO, n=113), metabolically healthy obesity group (MHO, n=66), metabolically unhealthy obesity (MUO, n=18). Exercise test was performed with Bruce protocol using a treadmill instrument. There was no difference in HRR between MHO and MUO ($32.71{\pm}12.25$ vs $25.53{\pm}8.13$), but there was late HRR in MUO than MHNO ($25.53{\pm}8.13$ vs $34.51{\pm}11.80$). HRR in obese was significantly correlated with BMI (r=-0.342, P=0.004), waist circumference (r=-0.246, P=0.043), triglyceride (r=-0.350, P=0.003), HbA1c (r=-0.315, P=0.009), insulin (r=-0.290, P=0.017) and uric acid (r=-0.303, P=0.012). HRR showed a lower prevalence of abdominal obesity, hypertriglyceridemia, and low HDL-cholesterol in the third tertile than in the first tertile. In conclusion, MHO had no difference in vagal activity compared with MHNO, but MUO had low vagal activity. HRR is associated with metabolic parameters and is a useful predictor of abdominal obesity, hypertriglyceridemia, and low HDL-cholesterolemia.

• Journal of Environmental Health Sciences
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• v.16 no.2
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• pp.47-53
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• 1990

This experiment was carried out to evaluate general characteristics of the water quality, total coliform, fecal coliform and microflora at the St. 1 to St. 3 and St. 4 to St. 7. Eighty-four water samples were collected from the 7 stations from July 1988 to April 1990 (see Fig. 1) Range and mean value of the samples were as follows water temperature 2.0-29.9$^{\circ}$C, 16.3$^{\circ}$C pH 6.86-9.08, 7.62: electrical conductivity 54.85$\mu \mho$/cm, 4.300 m$\mho$/cm, 911.93 $\mu \mho$/cm : turbidity 0.9-36 NTU, 6.8 NTU, respectively. pH and electrical conductivity at St. 4 to St. 7 were higher than those at St. 1 to St. 3, but turbidity at St. 1 to St. 2 was 7 times higher than that at Sonagdong river area. The bacterial density of the samples ranged 91-110,000/100ml for total coliform. 21-15,000/100ml for fecal coliform. Specially, the geometric mean value of the St. 3 was 11,836 / 100ml for it leveled heavy contaminaiton. Predominant species among the 3,874 strains isolated form the samples were 30.6% Enterobacteriaceae, 14.7% Acinetobacter, 9.0% Aeromonas. 8.9% Neisseria, and 7.5% Vibrio.