PURPOSE: The purpose of this study was to investigate osteoporosis knowledge, health beliefs, and influencing factors on health behaviors among female college students. METHODS: Using the Osteoporosis Quiz, the Health belief Scale, and the Health Behavior Questionnaire, data were collected from 314 female college students from 4 universities located in Chungcheong providence. RESULTS: The mean scores of knowledge and health belief were 12.7+/-3.81 and 90.9+/-12.66, respectively. There was a statistically significant correlation between osteoporosis knowledge and health belief (p<.001). Also, a statistically significant correlation was found between health belief and health behavior (p<.001). According to the regression model, knowledge, perceived benefit, perceived barrier, family history of osteoporosis, and health interest explained 6.7% of total variance in health behavior. CONCLUSION: Female college students should be taught to be aware of the importance of proper dietary intake and regular exercise as a way to maintain or promote the health of their bones so that they can prevent osteoporosis.
Female* ; Health Behavior* ; Humans ; Osteoporosis* ; Surveys and Questionnaires

PURPOSE: Obesity is a major public health issue and is associated with many metabolic abnormalities. Consequently, the assessment of obesity is very important. A new measurement, the body adiposity index (BAI), has recently been proposed to provide valid estimates of body fat percentages. The objective of this study was to compare the BAI and body mass index (BMI) as measurements of body adiposity and metabolic risk. MATERIALS AND METHODS: This was a cross-sectional analysis performed on Korean women. The weight, height, and hip circumferences of 2950 women (mean age 25+/-5 years old, 18-39 years) were measured, and their BMI and BAI [hip circumference (cm)/height (m)(1.5)-18] values were calculated. Bioelectric impedance analysis was used to evaluate body fat content. Glucose tolerance status was assessed with a 75-g oral glucose tolerance test, and insulin sensitivity was estimated with the insulin sensitivity index. RESULTS: BMI was more significantly correlated with fat mass and fat percentage. Additionally, BMI was also more significantly associated with metabolic parameters, including fasting glucose, post-load 2-h glucose, fasting insulin, post-load 2-h insulin, triglycerides, and high density lipoprotein cholesterol than BAI. Receiver operating characteristic curve analysis revealed that BMI was a better tool for predicting body fat percentage than BAI. Insulin sensitivity and metabolic syndrome were more significantly associated with BMI than with BAI. CONCLUSION: In Korean women, the current BMI-based classifications for obesity might be superior to BAI-based measurements for determining obesity and predicting metabolic risk.
Adiposity/*physiology ; Adolescent ; Adult ; Body Composition/physiology ; Body Mass Index ; Body Weight/physiology ; Cholesterol, HDL/blood ; Cross-Sectional Studies ; Female ; Humans ; Obesity/blood/*physiopathology ; Triglycerides/blood ; Waist Circumference/physiology ; Young Adult

OBJECTIVES: Insulin resistance is a major pathophysiology in polycystic ovary syndrome (PCOS), and assessment of insulin sensitivity is important. Various insulin sensitivity indices from fasting state or oral glucose tolerance test (OGTT) have been compared with euglycemic hyperinsulinemic clamp. We aimed to evaluate the usefulness of these indices in young Korean women with PCOS. METHODS: Euglycemic hyperinsulinemic clamp test and 75 g OGTT were performed in 290 women with PCOS. Insulin mediated glucose uptake (IMGU), the insulin sensitivity index from clamp, was compared with various insulin sensitivity indices such as composite insulin sensitivity index (ISIcomp), estimated metabolic clearance rate (MCRest) of glucose and estimated insulin sensitivity index (ISIest), area under the curve of glucose and insulin ratio (AUC-GIR), OGTT-derived Belfiore index, and oral glucose insulin sensitivity index (OGSI) by Kazama. Fasting state indices such as glucose insulin ratio (GIR), homeostasis model assessment for insulin resistance (HOMA-IR), fasting Belfiore index, and quantitative insulin sensitivity check index (QUICKI) were also compared with IMGU. RESULTS: The correlation coefficients of ISIcomp, MCRest, ISIest, AUC-GIR, OGTT-Belfiore index, and OGSI with IMGU were all about 0.5 (Ps'<0.001) in PCOS women as a whole. The MCRest and ISIest were significantly correlated with IMGU in both obese (r=0.58 and 0.58, P<0.0001) and non-obese subjects (r=0.33 and 0.32, P<0.001). Fasting glucose and insulin-derived indices showed worse correlation with IMGU than OGTT-derived ones. CONCLUSION: The MCRest and ISIest from OGTT might be the best replacement for the insulin sensitivity index from hyperinsulinemic euglycemic clamp independent of obesity.
Fasting ; Female ; Glucose ; Glucose Clamp Technique ; Glucose Tolerance Test ; Homeostasis ; Humans ; Insulin ; Insulin Resistance ; Metabolic Clearance Rate ; Obesity ; Polycystic Ovary Syndrome

OBJECTIVES: Effects of nanoparticles including zinc oxide nanoparticles, titanium oxide nanoparticles, and their mixtures on skin corrosion and irritation were investigated by using in vitro 3D human skin models (KeraSkin(TM)) and the results were compared to those of an in vivo animal test. METHODS: Skin models were incubated with nanoparticles for a definite time period and cell viability was measured by the 3-(4, 5-dimethylthiazol-2-yl)-2.5-diphenyltetrazolium bromide method. Skin corrosion and irritation were identified by the decreased viability based on the pre-determined threshold. RESULTS: Cell viability after exposure to nanomaterial was not decreased to the pre-determined threshold level, which was 15% after 60 minutes exposure in corrosion test and 50% after 45 minutes exposure in the irritation test. IL-1alpha release and histopathological findings support the results of cell viability test. In vivo test using rabbits also showed non-corrosive and non-irritant results. CONCLUSIONS: The findings provide the evidence that zinc oxide nanoparticles, titanium oxide nanoparticles and their mixture are 'non corrosive' and 'non-irritant' to the human skin by a globally harmonized classification system. In vivo test using animals can be replaced by an alternative in vitro test.
Animals ; Cell Survival ; Classification ; Corrosion* ; Humans ; Nanoparticles* ; Nanostructures ; Rabbits ; Skin* ; Titanium ; Zinc Oxide

BACKGROUND/AIMS: Many women with polycystic ovary syndrome (PCOS) exhibit insulin resistance. Adipose tissue plays an important role in insulin resistance, and adipokines including tumor necrosis factor (TNF)-alpha and adiponectin are altered in PCOS. Insulin-like growth factor binding protein-3 (IGFBP-3), alone or in conjunction with other adipokines, is also associated with insulin resistance. We evaluated the effects of TNF-alpha, adiponectin, and IGFBP-3 on insulin sensitivity and the relationships among these proteins in women with PCOS. METHODS: We recruited 40 women with PCOS and 40 age- and body mass index (BMI)-matched regular cycling women (controls). The women were divided into obese (BMI > or = 25 kg/m2) and nonobese (BMI < 25 kg/m2) groups. Anthropometric measurements were performed, and serum levels of TNF-alpha, adiponectin, and IGFBP-3 were determined. Insulin sensitivity was estimated using the metabolic clearance rate (MCR) of glucose calculated from the oral glucose tolerance test. RESULTS: Serum levels of TNF-alpha and IGFBP-3 did not differ between the PCOS and control groups, but adiponectin levels in the PCOS group were lower than those in control women in the nonobese group (p < 0.05). TNF-alpha, adiponectin, and IGFBP-3 levels were not correlated with each other in women with PCOS, but a significant positive correlation was observed between adiponectin levels and MCR (p < 0.05). Multiple regression analysis revealed that adiponectin levels were significantly associated with insulin sensitivity (p < 0.05) in women with PCOS. CONCLUSIONS: IGFBP-3 and TNF-alpha levels were not associated with insulin sensitivity, but adiponectin levels were related to insulin sensitivity in women with PCOS.
Adiponectin/*blood ; Adult ; Biological Markers/blood ; Case-Control Studies ; Female ; Humans ; *Insulin Resistance ; Insulin-Like Growth Factor Binding Protein 3/*blood ; Obesity/blood ; Polycystic Ovary Syndrome/*blood ; Tumor Necrosis Factor-alpha/*blood ; Young Adult

BACKGROUND/AIMS: Serum levels of highly sensitive C-reactive protein (hsCRP), a vascular inflammatory marker, may predict the development of cardiovascular disease (CVD) and type 2 diabetes. Women with polycystic ovary syndrome (PCOS) are at greater risk for type 2 diabetes and CVD. The aim of this study was to compare hsCRP levels between normal weight women with PCOS and controls with a normal menstrual cycle and to determine the factors associated with serum hsCRP levels. METHODS: Thirty-nine lean PCOS patients and 24 healthy, regular cycling women were enrolled in this study. We performed anthropometric measurements, fat computed tomography (CT), and blood sampling to determine blood chemistry and levels of hsCRP, gonadotropins, testosterone, and sex-hormone binding globulin. We also conducted 75-g oral glucose-tolerance test and euglycemic hyperinsulinemic clamp to assess insulin sensitivity. RESULTS: Serum hsCRP concentrations were higher in women with PCOS than in women with regular mensturation. However, this difference was no longer significant after adjusting for body mass index (BMI). hsCRP levels were correlated with waist circumference (r=0.46, p<0.01), BMI (r=0.46, p<0.01), visceral fat area (r=0.45, p<0.01), and systolic (r=0.42, p<0.05) and diastolic blood pressure (r=0.39, p<0.05). hsCRP also tended to be negatively associated with insulin-mediated glucose uptake (IMGU) (r=-0.31, p=0.07). A multiple regression analysis revealed that BMI (beta=0.29, p<0.05), systolic blood pressure (beta=0.39, p<0.01), and IMGU (beta=-0.31, p<0.05) predicted serum hsCRP levels in women with PCOS. CONCLUSIONS: PCOS by itself does not seem to be associated with increased hsCRP levels, whereas known CVD risk factors affect serum hsCRP levels in PCOS.
Adult ; Body Mass Index ; C-Reactive Protein/*analysis ; Cardiovascular Diseases/etiology ; Female ; Humans ; Polycystic Ovary Syndrome/*blood/complications ; Regression Analysis

BACKGROUND: Epicardial adipose tissue (EAT) is suggested to play an important role in the progression of metabolic syndrome. We aimed to establish a simple method to measure EAT and examine the differences in EAT thickness according to the presence of type 2 diabetes mellitus or obesity. METHODS: A total of 94 patients (42.6% type 2 diabetes mellitus, 53.2% obese, mean age 61+/-13) who underwent multidetector computed tomography were enrolled. Thickness of EAT was measured on the parasternal short and horizontal long axis view. Epicardial fat area (EFA) was measured at the level of left main coronary artery (LMCA). RESULTS: All EAT thicknesses were correlated with EFA at the LMCA level (r=0.235 to 0.613, all Ps<0.05), and EAT thickness in the left atrioventricular groove (LAVG) had the highest correlation coefficient (r=0.613). EFA, and EAT thicknesses in the LAVG and the left ventricular apex were higher in the group with type 2 diabetes mellitus than in the group without type 2 diabetes mellitus when adjusted only for body mass index. When adjusted only for type 2 diabetes mellitus, EFA, and EAT thicknesses in the LAVG and the right atrioventricular groove were higher in obese group than in nonobese group. CONCLUSION: In conclusion, EAT thickness can be easily measured and represent EFA. EAT thickness, especially in LAVG, was higher in groups with type 2 diabetes mellitus and obesity independently. These findings implicate that EAT thickness may be a useful indicator for type 2 diabetes mellitus and obesity.
Adipose Tissue* ; Axis, Cervical Vertebra ; Body Mass Index ; Coronary Vessels ; Diabetes Mellitus, Type 2* ; Humans ; Multidetector Computed Tomography ; Obesity*

PURPOSE: Approximately 50% to 70% of women with polycystic ovary syndrome (PCOS) have some degree of insulin resistance, and obesity is known to worsen insulin resistance. Many metabolic consequences of PCOS are similar to those of obesity; therefore, defining the cause of insulin resistance in women can be difficult. Our objective was to clarify the factors contributing to insulin resistance in PCOS. MATERIALS AND METHODS: We consecutively recruited 144 women with PCOS [age: 26+/-5 yr, body mass index, body mass index (BMI): 24.4+/-4.0 kg/m2] and 145 controls (age: 25+/-5 yr, BMI: 23.0+/-3.6 kg/m2), and divided them into overweight/obese (ow/ob, BMI > or =23 kg/m2) and lean (BMI <23 kg/m2) groups. Anthropometric measures and a 75-g oral glucose tolerance test were performed, and insulin sensitivity index (ISI) was calculated as an index of insulin sensitivity. Factors predictive of ISI were determined using regression analysis. RESULTS: ISI was significantly lower in both lean and ow/ob women with PCOS compared to BMI-matched controls (p<0.05). Increasing BMI by 1 kg/m2 decreased ISI by 0.169 in PCOS patients (p<0.05) and by 0.238 in controls (p<0.05); there was no significant difference between these groups. In lean PCOS patients and lean controls, BMI had no effect on ISI. Multiple regression analysis revealed that PCOS status (beta=-0.423, p<0.001) and BMI (beta=-0.375, p<0.001) were significantly associated with ISI. CONCLUSION: Insulin resistance is an intrinsic defect of PCOS, and a high BMI could exacerbate insulin resistance in all women, irrespective of whether they have PCOS.
Adiposity ; Adult ; Asian Continental Ancestry Group ; Blood Glucose/metabolism ; Body Mass Index ; Female ; Glucose Tolerance Test ; Humans ; *Insulin Resistance ; Polycystic Ovary Syndrome/*complications ; Regression Analysis

Emphysematous pyelonephritis (EPN) is a necrotizing infection of the renal parenchyma and its surrounding tissues that results in the accumulation of gas in the renal parenchyma, collecting system or perinephric tissue. EPN is a potentially life-threatening condition, which is most commonly associated with poorly controlled diabetes. We describe a case of emphysematous pyelonephritis associated with emphysematous ureteritis and cystitis in a 68-year-old diabetic woman, who was cured with medical treatment and surgical intervention.
Aged ; Cystitis ; Female ; Humans ; Pyelonephritis ; Ureter

BACKGROUND/AIMS: Sleep disorder (SD) is associated with an increased risk of cardiovascular disease and is more prevalent among individuals with type 2 diabetes mellitus. These health problems not only frequently coexist but also exacerbate each other. We conducted a cross-sectional study to estimate the prevalence of SD among diabetic patients and to investigate the relationship between SD and cardiovascular risk among these patients. METHODS: We recruited 784 patients with type 2 diabetes and conducted a self-administered questionnaire. We assessed sleep quality using the Pittsburgh Sleep Quality Index and the risk of obstructive sleep apnea (OSA) using the Berlin Questionnaire. Additional information included blood pressure and metabolic profiles. RESULTS: Of the 784 diabetic patients, 301 (38.4%) patients had poor sleep quality, and 124 (15.8%) were at high risk for OSA. Patients at increased risk for OSA were more obese; they also had higher blood pressure, fasting plasma insulin levels, insulin resistance assessed by homeostasis model assessment (HOMA-IR), and serum triglycerides levels (p < 0.05). The frequency of risk for OSA was higher among obese patients compared with non-obese patients (34.8% vs. 9.4%, p < 0.05). Logistic regression analysis revealed that male sex and bone mass index were independent predictors of risk for OSA. CONCLUSIONS: SD was prevalent among type 2 diabetic patients, and OSA could aggravate their risk for cardiovascular disease. Clinical treatment of these patients should include evaluation and intervention for SD.
Adult ; Aged ; Analysis of Variance ; Body Mass Index ; Cardiovascular Diseases/*epidemiology ; Chi-Square Distribution ; Cross-Sectional Studies ; Diabetes Mellitus, Type 2/*epidemiology ; Female ; Humans ; Logistic Models ; Male ; Middle Aged ; Obesity/epidemiology ; Prevalence ; Questionnaires ; Republic of Korea/epidemiology ; Risk Assessment ; Risk Factors ; Sex Factors ; Sleep Apnea, Obstructive/epidemiology ; Sleep Disorders/diagnosis/*epidemiology