Purpose: The purpose of this study was to identify the factors that influence the consumption of convenience foods among Korean adolescents. Methods: This study had a descriptive cross-sectional study. Data were obtained from the 15th (2019) Korea Youth Risk Behavior Web-based Survey, which involved a nationwide representative sample of 57,303 middle- and high-school students. Convenience-food consumption was defined by frequency of adolescents consuming convenience foods obtained from convenience stores, supermarkets, and cafeterias over the previous 7 days. The analyzed variables were related to sociodemographic, mental health, and health behavior. The Rao-Scott χ2 test was applied to examine the difference in the rate of consuming convenience foods obtained from convenience stores according to each factor. Hierarchical logistic regression was conducted to examine the factors that influence convenience-food consumption among Korean adolescents. Results: It was found that 29.1% of Korean adolescents consumed convenience foods obtained from convenience store more than three times per week. The significant influencing factors were female sex; low subjective academic achievement, and subjective household economic status; high perceived stress; low subjective sleep sufficiency; experience of depression; suicidal ideation; lower physical activity; skipping breakfast; lower consumptions of fruit, milk, and vegetables; higher consumptions of soda drinks, sweet drinks, caffeine, and fast food; lower water intake; current smoking and drinking; drug use; and experience of violence. Conclusion These findings provide a better understanding of the sociodemographic, mental-health, and health-behavior factors that influence the consumption of convenience foods among Korean adolescents. We suggest that differentiated policies, strategies, and nutrition education need to be developed and implemented, in order to address the above-mentioned factors and thereby reduce such behaviors among Korean adolescents.

OBJECTIVES: We reviewed digital epidemiological studies to characterize how researchers are using digital data by topic domain, study purpose, data source, and analytic method. METHODS: We reviewed research articles published within the last decade that used digital data to answer epidemiological research questions. Data were abstracted from these articles using a data collection tool that we developed. Finally, we summarized the characteristics of the digital epidemiological studies. RESULTS: We identified six main topic domains: infectious diseases (58.7%), non-communicable diseases (29.4%), mental health and substance use (8.3%), general population behavior (4.6%), environmental, dietary, and lifestyle (4.6%), and vital status (0.9%). We identified four categories for the study purpose: description (22.9%), exploration (34.9%), explanation (27.5%), and prediction and control (14.7%). We identified eight categories for the data sources: web search query (52.3%), social media posts (31.2%), web portal posts (11.9%), webpage access logs (7.3%), images (7.3%), mobile phone network data (1.8%), global positioning system data (1.8%), and others (2.8%). Of these, 50.5% used correlation analyses, 41.3% regression analyses, 25.6% machine learning, and 19.3% descriptive analyses. CONCLUSIONS: Digital data collected for non-epidemiological purposes are being used to study health phenomena in a variety of topic domains. Digital epidemiology requires access to large datasets and advanced analytics. Ensuring open access is clearly at odds with the desire to have as little personal data as possible in these large datasets to protect privacy. Establishment of data cooperatives with restricted access may be a solution to this dilemma.
Cell Phones ; Communicable Diseases ; Data Collection ; Dataset ; Epidemiologic Studies* ; Epidemiological Monitoring ; Epidemiology* ; Geographic Information Systems ; Humans ; Information Storage and Retrieval ; Internet ; Life Style ; Machine Learning ; Mental Health ; Methods ; Privacy ; Public Health Surveillance ; Social Media

B13 analogues are being considered as therapeutic agents for cancer cells, since B13 is a ceramide analogue and inhibits ceramidase to promote apoptosis in cancer cells. B13 sulfonamides are assumed to have biological activity similar to B13, since they are made by bioisosterically substituting the carboxyl moiety of B13 with sulfone group. Twenty B13 sulfonamides were evaluated for their in vitro cytotoxicities against human colon cancer HT-29 and lung cancer A549 cell lines using MTT assays. Replacement of the amide group with a sulfonamide group increased cytotoxicity in both cancer cell lines. The sulfonamides with long alkyl chains exhibited activities two to three times more potent than that of B13 and compound (15) had the most potent activity with IC50 values of 27 and 28.7microM for HT-29 and A549, respectively. The comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were used to carry out QSAR molecular modeling of these compounds. The predictive CoMSIA models for HT-29 and A549 gave cross-validated q2 values of 0.703 and 0.830, respectively. From graphical analysis of these models, we suppose that the stereochemistry of 1,3-propandiol is not important for activity and that introduction of a sulfonamide group and long alkyl chains into B13 can increase cytotoxicity.
Apoptosis ; Cell Line ; Ceramidases ; Colonic Neoplasms ; Humans ; Inhibitory Concentration 50 ; Lung Neoplasms ; Models, Molecular ; Quantitative Structure-Activity Relationship ; Sulfonamides

The gut microbiome affects the enterohepatic recycling of thyroid hormone and the metabolism and absorption of micronutrients including iodine and selenium. Changes in thyroid function trigger changes in the neuro-muscular function of the gut, resulting in a two-way interaction that affects the composition of gut microbiome. In recent years, based on animal experiments and prospective clinical studies, many possibilities have been suggested that the influences in naïve immune cells differentiation or increasing permeability of proinflammatory cytokines and endotoxins to blood due to intestinal integrity disruption may affect the progression of autoimmune thyroid disease or thyroid cancers. In this review, we focused on refining the progression on the hypothesis that there is a link between the gut microbiome and the thyroid gland.

OBJECTIVES: The objective of this study was to review and visualize the medical informatics field over the previous 12 months according to the frequencies of keywords and topics in papers published in the top four journals in the field and in Healthcare Informatics Research (HIR), an official journal of the Korean Society of Medical Informatics. METHODS: A six-person team conducted an extensive review of the literature on clinical and consumer informatics. The literature was searched using keywords employed in the American Medical Informatics Association year-in-review process and organized into 14 topics used in that process. Data were analyzed using word clouds, social network analysis, and association rules. RESULTS: The literature search yielded 370 references and 1,123 unique keywords. ‘Electronic Health Record’ (EHR) (78.6%) was the most frequently appearing keyword in the articles published in the five studied journals, followed by ‘telemedicine’ (2.1%). EHR (37.6%) was also the most frequently studied topic area, followed by clinical informatics (12.0%). However, ‘telemedicine’ (17.0%) was the most frequently appearing keyword in articles published in HIR, followed by ‘telecommunications’ (4.5%). Telemedicine (47.1%) was the most frequently studied topic area, followed by EHR (14.7%). CONCLUSIONS: The study findings reflect the Korean government's efforts to introduce telemedicine into the Korean healthcare system and reactions to this from the stakeholders associated with telemedicine.
Computer Graphics ; Data Mining ; Delivery of Health Care ; Informatics* ; Medical Informatics ; Telemedicine

Sclerosing peritonitis is an unusual fibrosing condition predominantly involving the omentum and simulating carcinoma. The presenting signs and symptoms, imaging examination and cancer antigen 125 (CA-125) status in sclerosing peritonitis sometimes resemble those of ovarian cancer. Thus, the possibility of sclerosing peritonitis should be considered in the differential diagnosis of ovarian carcinoma. It may occur idiopathically and secondary to chronic peritoneal dialysis, the use of peritoneovenous shunt, practolol therapy, or in association with ovarian tumors such as ovarian teratoma. We report a case of peritonitis initially suspected as ovarian carcinoma but diagnosed as sclerosing peritonitis associated with teratoma.
Diagnosis, Differential ; Omentum ; Ovarian Neoplasms ; Peritoneal Dialysis ; Peritoneovenous Shunt ; Peritonitis ; Practolol ; Teratoma

Diabetes mellitus is a multifactorial disease. Particularly, diabetic nephropathy is a serious complication for diabetic patients, yet the precise mechanisms that underline the initial stage of diabetic renal inflammation remain unknown. However, oxidative stress induced by hyperglycemia in diabetes is implicated in diabetic renal disease. We hypothesized that dietary supplementation of antioxidants either VCE (0.5% VC + 0.5% VE) or Comb (0.5% VC + 0.5% VE + 2.5% N-acetylcysteine) improves acute diabetic renal inflammation through modulation of blood glucose levels and antioxidant and anti-inflammatory responses. Experimental animals (5.5 weeks old female ICR) used were treated with alloxan (180 mg/kg) once. When fasting blood glucose levels were higher than 250 mg/dL, mice were divided into 3 groups fed different levels of antioxidant supplementation, DM (diabetic mice fed AIN 93G purified rodent diet); VCE (diabetic mice fed 0.5% vitamin C and 0.5% vitamin E supplemented diet); Comb (diabetic mice fed 0.5% vitamin C, 0.5% vitamin E and 2.5% N-acetylcysteine supplemented diet), for 10 days and then sacrificed. Body weights were measured once a week and blood glucose levels were monitored twice a week. Lipid peroxidation products, thiobarbituric acid reacting substances were measured in kidney. NF-kappaB activation was indirectly demonstrated by pIkappaB-alpha and expressions of selective inflammatory and oxidative stress markers including antioxidant enzymes were also determined. Dietary antioxidant supplementation improved levels of blood glucose as well as kidney lipid peroxi-dation. Dietary antioxidant supplementation improved NF-kappaB activation and protein expression of HO-1, but not mRNA expression levels in diabetic mice fed Comb diet. In contrast, the mRNA and protein expression of CuZnSOD was decreased in diabetic mice fed Comb diet. However, antioxidant supplementation did not improve mRNA and protein expressions of IL-1beta and MnSOD in diabetic mice. These findings demonstrate that acute diabetic renal inflammation was associated with altered inflammatory and antioxidant responses and suggest that antioxidant cocktail supplementation may have beneficial effects on early stage of diabetic nephropathy through modulation of blood glucose levels and antioxidant enzyme expressions.
Acetylcysteine ; Alloxan ; Animals ; Antioxidants ; Ascorbic Acid ; Blood Glucose ; Body Weight ; Comb and Wattles ; Diabetes Mellitus ; Diabetic Nephropathies ; Diet ; Dietary Supplements ; Fasting ; Female ; Humans ; Hyperglycemia ; Inflammation ; Kidney ; Lipid Peroxidation ; Mice ; NF-kappa B ; Oxidative Stress ; RNA, Messenger ; Rodentia ; Thiobarbiturates ; Vitamin E ; Vitamins

PURPOSE: The purpose of this study was to develop predictive models for pressure ulcer incidence using electronic health record (EHR) data and to compare their predictive validity performance indicators with that of the Braden Scale used in the study hospital. METHODS: A retrospective case-control study was conducted in a tertiary teaching hospital in Korea. Data of 202 pressure ulcer patients and 14,705 non-pressure ulcer patients admitted between January 2015 and May 2016 were extracted from the EHRs. Three predictive models for pressure ulcer incidence were developed using logistic regression, Cox proportional hazards regression, and decision tree modeling. The predictive validity performance indicators of the three models were compared with those of the Braden Scale. RESULTS: The logistic regression model was most efficient with a high area under the receiver operating characteristics curve (AUC) estimate of 0.97, followed by the decision tree model (AUC 0.95), Cox proportional hazards regression model (AUC 0.95), and the Braden Scale (AUC 0.82). Decreased mobility was the most significant factor in the logistic regression and Cox proportional hazards models, and the endotracheal tube was the most important factor in the decision tree model. CONCLUSION: Predictive validity performance indicators of the Braden Scale were lower than those of the logistic regression, Cox proportional hazards regression, and decision tree models. The models developed in this study can be used to develop a clinical decision support system that automatically assesses risk for pressure ulcers to aid nurses.
Case-Control Studies ; Data Mining ; Decision Support Systems, Clinical ; Decision Trees ; Electronic Health Records ; Hospitals, Teaching ; Humans ; Incidence ; Korea ; Logistic Models ; Patient Safety ; Pressure Ulcer ; Proportional Hazards Models ; Retrospective Studies ; ROC Curve ; Ulcer

Pachydermodactyly (PDD) is a rare, benign form of digital fibromatosis that is characterized by asymptomatic soft tissue swellings on the back and side of the proximal interphalangeal joint areas of the fingers. We report three cases of young male patients who presented with bilateral swelling of the fingers. Histopathologic examination showed epidermal hyperplasia with acanthosis and hyperkeratosis. Collagen fibers in the reticular dermis were thickened and irregularly arranged, and deposition of mucin in the dermis was observed. Since pachydermodactyly usually affects adolescent males with joint swelling, it is often confused with rheumatologic diseases. Here, we report three cases diagnosed with pachydermodactyly based on clinical manifestations and histopathological examination.
Adolescent ; Collagen ; Dermis ; Fibroma ; Fingers ; Humans ; Hyperplasia ; Joints ; Male ; Mucins

PURPOSE: The purpose of this study was to develop predictive models for pressure ulcer incidence using electronic health record (EHR) data and to compare their predictive validity performance indicators with that of the Braden Scale used in the study hospital. METHODS: A retrospective case-control study was conducted in a tertiary teaching hospital in Korea. Data of 202 pressure ulcer patients and 14,705 non-pressure ulcer patients admitted between January 2015 and May 2016 were extracted from the EHRs. Three predictive models for pressure ulcer incidence were developed using logistic regression, Cox proportional hazards regression, and decision tree modeling. The predictive validity performance indicators of the three models were compared with those of the Braden Scale. RESULTS: The logistic regression model was most efficient with a high area under the receiver operating characteristics curve (AUC) estimate of 0.97, followed by the decision tree model (AUC 0.95), Cox proportional hazards regression model (AUC 0.95), and the Braden Scale (AUC 0.82). Decreased mobility was the most significant factor in the logistic regression and Cox proportional hazards models, and the endotracheal tube was the most important factor in the decision tree model. CONCLUSION Predictive validity performance indicators of the Braden Scale were lower than those of the logistic regression, Cox proportional hazards regression, and decision tree models. The models developed in this study can be used to develop a clinical decision support system that automatically assesses risk for pressure ulcers to aid nurses.