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This study aimed to evaluate the effects of the COVID-19 pandemic on obesity, metabolic parameters, and clinical values in the South Korean population. Data from the seventh and eighth National Health and Nutrition Examination Surveys were analyzed, comprising 3560 participants in 2018 (pre-COVID-19) and 3309 participants in 2021 (post-COVID-19). The study focused on adults aged 19 years and older who were overweight (BMI ≥ 25 kg/m2). The results showed a significant increase in waist circumference (approximately 2 cm), BMI (approximately 0.11 kg/m2), systolic blood pressure, fasting blood sugar (1.76 mg/dL higher), and glycated hemoglobin (0.14% higher) in the post-COVID-19 group compared to the pre-COVID-19 group. Additionally, the prevalence of hypercholesterolemia increased by 4% after the COVID-19 pandemic. These findings suggest an increased risk of obesity, abdominal obesity, and metabolic disorders, such as blood sugar disorders, in the post-COVID-19 period. Urine analysis revealed abnormal findings, including occult blood, urobilinogen, hematuria, proteinuria, ketone urea, glycosuria, and bacteriuria. The study highlights the negative impact of lifestyle changes, such as reduced physical activity and social gatherings, on physical vital signs and clinical values during the COVID-19 pandemic.
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OBJECTIVE: To determine perinatal risk factors for Massive pulmonary hemorrhage (MPH) and MPH-caused mortality to guide clinicians in implementing preventive measures at the beginning of life for improving the survival of very low birth weight infant (VLBWIs). STUDY DESIGN: A total of 13,826 VLBWIs born between 2013 and 2020 in the Korean Neonatal Network database were included. RESULTS: MPH occurred in 870 (6.3 %) VLBWIs. Among infants with MPH, 162 (18.6 %) VLBWIs died due to MPH. In the multivariate logistic regression analysis, independent risk factors for MPH were identified as small for gestational age, multiple gestation, high CRIB-II score, use of surfactant, and symptomatic patent ductus arteriosus (sPDA) in VLBIWs. Independent risk factors for MPH-caused mortality were identified as multiple gestation in VLBWIs. Receiving a complete course of antenatal corticosteroids (ACS) was found to be a significant independent protective factor for MPH-caused mortality in VLBWIs. CONCLUSION: Proactive managements for reducing unnecessary use of pulmonary surfactant and for decreasing the risk of sPDA at the beginning of life could be recommended as preventive strategies to reduce the risk of MPH in extremely preterm infants. ACS therapy is highly recommended for women with a high likelihood of giving birth preterm to reduce the risk of mortality caused by MPH.
Sujet(s)
Persistance du canal artériel , Maladies pulmonaires , Nourrisson , Nouveau-né , Humains , Femelle , Grossesse , Nourrisson très faible poids naissance , Maladies pulmonaires/épidémiologie , Très grand prématuré , Hémorragie , Facteurs de risque , Âge gestationnelRÉSUMÉ
The widespread adoption of the smartphone has led to both positive and negative consequences for adolescents' mental health. This study examines the interplay between smartphone dependence (SPD), generalized anxiety disorder (GAD), and various mental health outcomes among Korean adolescents. Data from the 16th Adolescence Health Behavior Survey (2020), including 54,948 middle and high school students, were analyzed. Adolescents were categorized into three groups based on SPD severity. The GAD-7 scale assessed anxiety, and other factors such as subjective health recognition, happiness, weight control efforts, and body mass index (BMI) were considered. Adolescents with higher SPD exhibited lower academic performance, decreased happiness, and increased perception of stress. GAD levels were positively correlated with SPD, with higher SPD linked to more severe GAD symptoms. Additionally, higher SPD was associated with increased loneliness, sadness, and suicidal thoughts, plans, and attempts as well as a greater likelihood of habitual drug use. Gender differences revealed that females were more prone to sadness, hopelessness, and suicidal thoughts, while males exhibited higher rates of drug use. This study highlights the complex relationship between SPD, GAD, and mental health outcomes among Korean adolescents. Stress recognition was found to mediate the association between GAD and SPD. The process-macro result of the total effect between SPD on GAD and the direct effect of the SPD pathway on GAD was significant; thus, the stress recognition was mediated. Effective interventions should target stress management, especially among adolescents with high smartphone dependence, to mitigate the risk of mental health issues. These findings underscore the importance of addressing smartphone dependence and its impact on the mental well-being of adolescents.
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As the number of elderly drivers rapidly increases worldwide, interest in the dangers of driving is growing as accidents rise. The purpose of this study was to conduct a statistical analysis of the driving risk factors of elderly drivers. In this analysis, data from the government organization's open data were used for the secondary processing of 10,097 people. Of the 9990 respondents, 2168 were current drivers, 1552 were past drivers but were not driving presently, and 6270 did not have a driver's license; the participants were divided into groups accordingly. The elderly drivers who were current drivers had a better subjective health status than those who were not. Visual and hearing aids were used in the current driving group, and their depression symptoms reduced as they drove. The elderly who were current drivers experienced difficulties while driving in terms of decreased vision, hearing loss, reduced arm/leg reaction speed, decreased judgment of the road conditions such as signals and intersections, and a decreased sense of speed. The results suggest that elderly drivers are unaware of the medical conditions that can negatively affect their driving. This study contributes to the safety management of elderly drivers by understanding their mental and physical status.
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Polyhexamethylene guanidine phosphate (PHMG-p), the main ingredient of humidifier disinfectants, circulates systemically through the lungs; however, its toxicological assessment has been primarily limited to pulmonary disease. Herein, we investigated the possible abnormalities in hematopoietic function 20 weeks after intratracheal instillation of PHMG-p in a rat model. Notable abnormalities were found out in the peripheral blood cell count and bone marrow (BM) biopsy, while RNA sequencing of BM tissue revealed markedly altered gene expression. Furthermore, signaling involved in hematopoietic dysfunction was predicted by analyzing candidate genes through Ingenuity Pathway Analysis (IPA) program. Respiratory PHMG-p exposure significantly decreased monocyte and platelet (PLT) counts and total protein, while significantly increasing hemoglobin and hematocrit levels in peripheral blood. Histopathological analysis of the BM revealed a reduced number of megakaryocytes, with no significant differences in spleen and liver weight to body weight. Moreover, PHMG-p exposure significantly activated estrogen receptor signaling and RHOA signaling, and inhibited RHOGDI signaling. In IPA analysis, candidate genes were found to be strongly related to 'hematological system development and function' and 'hematological disease.' Accordingly, our results suggest that PHMG-p could affect hematopoiesis, which participates in monocyte differentiation and PLT production, and may induce hematologic diseases via the respiratory tract.
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This study used raw data obtained from the Adolescents' Health Behavior Survey by government-affiliated agency open data. A total of 109,796 students were sampled. A comparative analysis was performed based on the year 2020 and when the COVID-19 pandemic occurred, in which we analyzed changes in adolescents' depression and panic anxiety perception and dietary habits, physical factors, physical activity, and handwashing habits. There was no weight control in the second year compared to the first year of the COVID-19 pandemic, and obesity also increased. The continuation of the non-contact situation caused by COVID-19 led to a worsening of subjective health awareness, and the experience of generalized anxiety disorder, depression, sadness and hopelessness, and suicidal thoughts and attempts increased. The frequency of washing hands with soap before meals and after using the toilet at school or at home was reduced. As a result of this analysis, we believe that there needs to be a system of support in place to address the academic gaps and deficiencies in learning caused by COVID-19, and that psychological and emotional support needs to be strengthened at this time, as well as the issues to be supported after the end of the non-contact situation.
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This study aimed to develop a diabetes prediction model. The model performance was compared with logistic regression, and the decision tree Chi-square automatic interaction detection (CHAID) was used to predict diabetes. In total, 3233 patients were included in the analysis. Of these, 589 patients with diabetes and 2644 patients without diabetes were included after analyzing the study sample from the Korean Genome and Epidemiology Study (KoGES)-8 data. In this study, Diabetes Mellitus (DM) diagnosis prediction was compared with logistic regression and prediction through machine learning (ML) using the CHAID decision classification tree. We performed statistical analysis using the CHAID method with International Business Machine (IBM) statistical program SPSS®. We performed logistic regression analysis to predict the classification of diabetes accurately, and the total classification accuracy of the analysis was 81.7%, and the CHAID decision tree classification accuracy was 81.8%. A diabetes diagnosis decision tree was created, which included seven terminal nodes and three depth levels. This analysis showed that a blood pressure problem and hospital visits were the most decisive variables at the time of classification, and two risk levels were created for diabetes diagnosis. The suggested method is a valuable tool for predicting diabetes. Patients who visit the hospital because of blood pressure problems are more likely to develop diabetes than under-treating hyperlipidemia. The diabetes prediction model can help doctors make decisions by detecting the possibility of diabetes early; however, it is impossible to diagnose diabetes using only the model without the doctor's opinion.
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Diabète , Humains , Modèles logistiques , Arbres de décision , Études rétrospectives , Pronostic , TechnologieRÉSUMÉ
OBJECTIVE: The aim of this study was to examine whether or not levofloxacin has any relationship with QT prolongation in a real clinical setting by analyzing a clinical data warehouse of data collected from different hospital information systems. METHODS: Electronic prescription data and medical charts from 3 different hospitals spanning the past 9 years were reviewed, and a clinical data warehouse was constructed. Patients who were both administrated levofloxacin and given electrocardiograms (ECG) were selected. The correlations between various patient characteristics, concomitant drugs, corrected QT (QTc) prolongation, and the interval difference in QTc before and after levofloxacin administration were analyzed. RESULTS: A total of 2,176 patients from 3 different hospitals were included in the study. QTc prolongation was found in 364 patients (16.7%). The study revealed that age (OR 1.026, p < 0.001), gender (OR 0.676, p = 0.007), body temperature (OR 1.267, p = 0.024), and cigarette smoking (OR 1.641, p = 0.022) were related with QTc prolongation. After adjusting for related factors, 12 drugs concomitant with levofloxacin were associated with QTc prolongation. For patients who took ECGs before and after administration of levofloxacin during their hospitalization (n = 112), there was no significant difference in QTc prolongation. CONCLUSIONS: The age, gender, body temperature, cigarette smoking and various concomitant drugs might be related with QTc prolongation. However, there was no definite causal relationship or interaction between levofloxacin and QTc prolongation. Alternative surveillance methods utilizing the massive accumulation of electronic medical data seem to be essential to adverse drug reaction surveillance in future.
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The mouth is a part of the body for ingesting food that is the most basic foundation and important part. The dental pain predicted by the neural network model. As a result of making a predictive modeling, the fitness of the predictive modeling of dental pain factors was 80.0%. As for the people who are likely to experience dental pain predicted by the neural network model, preventive measures including proper eating habits, education on oral hygiene, and stress release must precede any dental treatment.
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Modèles théoriques , , Douleur , Prévision , Humains , Santé buccodentaire , Douleur/étiologie , Douleur/prévention et contrôle , Enquêtes et questionnairesRÉSUMÉ
UNLABELLED: The protective effect of an antioxidant, Vitamin E (dl-alpha-tocopherol, 100 mg/kg/day, 8 days p.o. in vivo and 10 and 50 microM in vitro) was tested against PCB-induced neurotoxicity. IN VIVO STUDIES: Microdialysis was used to investigate changes in the striatal extracellular dopamine level and in p-nNOS expression in PCB-treated (Aroclor 1254, 10 microg/ml, 2 microl/min, 5 h; 6 microg was infused by microdialysis probe) rats. IN VITRO STUDIES: Cell viability and levels of p-nNOS expression were observed in PCB-treated (Aroclor 1254, 5 microg/ml) immortalized dopaminergic cell line (CATH.a cells). RESULTS: Treatment with PCB: (1) decreased the extracellular dopamine level in rat striatum, (2) increased p-nNOS expression both in rat striatal tissue and in CATH.a cells, (3) reduced the cell viability of, and (4) increased LDH release by CATH.a cells. However, Vitamin E showed a protective effect against PCB-induced toxicity and downregulation of the extracellular dopamine level. These results indicate that Vitamin E may have neuroprotective effects by inhibiting PCB-induced nNOS phosphorylation.