PURPOSE: This study determined which obesity measurement correlates the best with diabetes and prediabetes. MATERIALS AND METHODS: This cross-sectional study enrolled 1603 subjects (611 men, 992 women; age 30-64 years) at the Cardiovascular and Metabolic Diseases Etiology Research Center. Body mass index, waist circumference, waist-height ratio, waist-hip ratio, waist-thigh ratio, and visceral fat were used as measures of obesity. Visceral fat was acquired using dual-energy X-ray absorptiometry (DXA). The prevalences of diabetes and prediabetes were defined using the criteria in the American Diabetes Association 2015 guidelines. RESULTS: After adjusting for age and other potential confounding factors, participants with a visceral fat mass in the upper 10th percentile had a higher odds ratio (OR) for diabetes and prediabetes than the upper 10th percentile of other adiposity indices [men, OR=15.9, 95% confidence interval (CI)=6.4-39.2; women, OR=6.9, 95% CI=3.5-13.7]. Visceral fat mass also had the highest area under the curve with diabetes and prediabetes in both men (0.69, 95% CI=0.64-0.73) and women (0.70, 95% CI=0.67-0.74) compared to other anthropometric measurements of obesity. CONCLUSION: Visceral fat mass measured using DXA is an indicator of diabetes or prediabetes, due to its ability to differentiate between abdominal visceral and subcutaneous fat.
Absorptiometry, Photon ; *Adiposity ; Adult ; Anthropometry ; Asian Continental Ancestry Group/*statistics & numerical data ; Biomarkers/blood ; Body Mass Index ; Cross-Sectional Studies ; Diabetes Mellitus/*ethnology ; Female ; Humans ; *Intra-Abdominal Fat ; Male ; Middle Aged ; Obesity/complications/*ethnology ; Odds Ratio ; Prediabetic State/*ethnology ; Prevalence ; Prospective Studies ; Republic of Korea/epidemiology ; Waist Circumference

No abstract available.
Cesarean Section* ; Female ; Pregnancy

No abstract available.
Diskectomy*

PURPOSE: The study was done to identify the relationship of treatment side effects, family support, and quality of life in patients with cancer, and factors influencing quality of life. METHOD: A convenience sample of 106 patients who were receiving cancer treatment at W hospital were interviewed using the Side Effects scale by Hur, Family Support scale by Kang, and QOL scale by Ro. RESULT: Results indicate that women experienced more severe side effects than men. There was a negative relationship between side effects and quality of life, and a positive relationship between family support and quality of life. The most bothersome side effects were changes in taste and appetite, followed by general weakness and fatigue. Side effects such as loss of hair, nausea, dizziness, numbness, pins and needles in fingers and toes, and dry mouth were also experienced. General weakness and family support were analysed as to whether they were factors influencing quality of life. CONCLUSION: The results revealed that relieving general weakness should be given high priority in nursing interventions for patients undergoing cancer treatment. In addition, nursing programs should be developed that can reinforce family support.

BACKGROUND: Whether the changes of risk factors (hypertension, diabetes mellitus, smoking, alcohol) can precipitate stroke remains unknown, and antecedent infection and psychologic stress are described inss case-control study, 113 consecutive patients with acute cerebrovascular disease (38 small vessel disease, 43 large vessel disease, 11 cardiogenic infarction, 4 infarction of undetermined cause, and 17 intracerebral hemorrhage) and 23 control subjects were evaluated. Changes of the risk factors (and their management) were interviewed. A sign/symptom based questionnaire was used to characterize the prevalence of recent prior infection and exposure to coldness. Psychologic stress was measured with the use of Social Readjustment Rating Scale. RESULTS: The negative change of alcohol drinking was significantly higher in the stroke group. However, there was no significant difference between stroke and control groups in the changes of thether risk factors. The prevalence of previous (within 1 month) infection was significantly higher in the stroke group compared with control subjects (p=0.03). However, there were no significant differences among the stroke subtypes in the prevalence of infection(p=0.08). Upper respiratory tract infections constituted the most common type of infection. The exposure to coldness was significantly higher in the stroke group compared with control subjects (p=0.002). The level of stress within the prior 1 month/1 year was significantly higher in the stroke group than control group (p=0.01). CONCLUSION: Our data suggest that preceding infection, exposure to coldness, psychologic stress, and the negative change of alcohol drinking may be comm.
Alcohol Drinking ; Case-Control Studies ; Diabetes Mellitus ; Humans ; Infarction ; Moyamoya Disease* ; Prevalence ; Surveys and Questionnaires ; Respiratory Tract Infections ; Risk Factors ; Smoke ; Smoking ; Stress, Psychological ; Stroke

We experienced a case of simple pneumonediastinum showing the findings of pleural effusion. Frontal chest radiography showed not only pneumomediastinum but also diffuse haziness with sharp medial margin on left lower lung field, blunting of costophrenic angle, and indistinct contour of diaphragm simulating pleural effusion. CT scan confirmed that these findings arose from the displaced pleura and the associated compression atelectasis by loculated air on the anterior mediastinum.
Diaphragm ; Lung ; Mediastinal Emphysema* ; Mediastinum ; Pleura ; Pleural Effusion* ; Pulmonary Atelectasis ; Radiography ; Thorax ; Tomography, X-Ray Computed

No abstract available.
Abruptio Placentae* ; Female ; Pregnancy

Hemangioma of the kidney is a relatively uncommon tumor, which is most commonly located in the tip of the papilla. This lesion is usually small and has been found incidentally at postmorten examination. About 200 cases of renal hemangioma have been reported since Virchow's original report in 1876. In renal hemangioma, cavernous hemangioma is the most common type. They can create diagnostic problem for the clinician and the radiologist. We experienced a case of renal cavernous hemangioma in the medulla of the upper pole. The patient was a twenty-seven-year-old male who had gross hematuria and right flank pain. A nephrectomy was performed. An ill-defined mass, 4.5x3.0x1.5 cm, was observed around the pelvis. Microscopically, the tumor mass was hemangioma of the cavernous type.
Male ; Humans ; Hemangioma

Purpose: The study aimed to identify which digital biomarkers are collected and which specific devices are used according to vulnerable and susceptible individual characteristics in a living-lab setting. Materials and Methods: A literature search, screening, and appraisal process was implemented using the Web of Science, Pubmed, and Embase databases. The search query included a combination of terms related to “digital biomarkers,” “devices that collect digital biomarkers,” and “vulnerable and susceptible groups.” After the screening and appraisal process, a total of 37 relevant articles were obtained. Results: In elderly people, the main digital biomarkers measured were values related to physical activity. Most of the studies used sensors. The articles targeting children aimed to predict diseases, and most of them used devices that are simple and can induce some interest, such as wearable device-based smart toys. In those who were disabled, digital biomarkers that measured location-based movement for the purpose of diagnosing disabilities were widely used, and most were measured by easy-to-use devices that did not require detailed explanations. In the disadvantaged, digital biomarkers related to health promotion were measured, and various wearable devices, such as smart bands and headbands were used depending on the purpose and target. Conclusion As the digital biomarkers and devices that collect them vary depending on the characteristics of study subjects, researchers should pay attention not only to the purpose of the study but also the characteristics of study subjects when collecting and analyzing digital biomarkers from living labs.

No abstract available.
Humans ; Hyperbilirubinemia, Hereditary* ; Siblings* ; Twins, Monozygotic*