Effect of the probiotic Weissella cibaria CMS1 on the immune response and the oral microbiome: a randomized, double-blind, placebo-controlled, parallel study

The oral cavity connects the external environment and the respiratory and digestive systems, and the oral microbial ecosystem is complex and plays a crucial role in overall health and immune defense against external threats. Recently, the potential use of probiotics for disease prevention and treatment has gained attention. This study aimed to assess the effect of Weissella cibaria CMS1 (W. cibaria CMS1) consumption on the oral microbiome and immune function in healthy individuals through a 12-week clinical trial. This randomized, double-blind, placebo-controlled, parallel trial enrolled 90 healthy subjects. The consumption of W. cibaria CMS1 significantly increased salivary immunoglobulin A (p = 0.046) and decreased tumor necrosis factor-α (TNF-α) levels (p = 0.008). Analysis of the oral microbiota revealed changes in beta diversity, increased abundance of Firmicutes and Actinobacteria, and decreased abundance of Bacteroidetes and Fusobacteria after 12 weeks of consuming W. cibaria CMS1. Significant increases in various strains, including Lactobacillales, Bacilli, Streptococcaceae, Streptococcus, and Firmicutes, were observed in the W. cibaria CMS1 group after 12 weeks of intake. Additionally, Fusobacteriia Fusobacteriales Fusobacteriaceae and Fusobacteriia Fusobacteriales Fusobacteriaceae Fusobacterium exhibited a positive correlation with TNF-α. These findings demonstrate the positive effect of W. cibaria CMS1 on the oral environment and immune function.

Effects of the COVID-19 Pandemic on the Medical Use of Elderly Patients with Hypertension: A Nationwide Cohort Study in Korea

Background

The coronavirus disease 2019 (COVID-19) pandemic has disrupted healthcare services, including chronic disease management, for vulnerable groups, such as older individuals with hypertension. This study aimed to evaluate hypertension management in South Korea's elderly population during the pandemic using treatment consistency indices such as the continuity of care (COC), modified, modified continuity index (MMCI), and most frequent provider continuity (MFPC).

Methods

This study used the Korea Disease Control and Prevention Agency-COVID-19-National Health Insurance Service cohort (K-COV-N cohort) from the National Health Insurance Service between 2017 and 2021. The research included a total of 4,097,299 hypertensive patients aged 65 years or older. We defined 2018 and 2019 as the baseline period before the COVID-19 pandemic and 2020 and 2021 as the COVID-19 period and calculated the indices of medical continuity (number of visits, COC, MMCI, and MFPC) on a yearly basis.

Results

The number of visits decreased during the COVID-19 period compared to the baseline period (59.64±52.75 vs. 50.49±50.33, P<0.001). However, COC, MMCI, and MFPC were not decreased in the baseline period compared to the COVID-19 period (0.71±0.21 vs. 0.71±0.22, P<0.001; 0.97±0.05 vs. 0.96±0.05, P<0.001; 0.8±0.17 vs. 0.8±0.17, P<0.001, respectively).

Conclusion

COVID-19 had no significant impact on the continuity of care but affected the frequency of outpatient visits for older patients with hypertension. However, this study highlights the importance of addressing healthcare inequalities, especially in older patients with hypertension, during pandemics and advocates for policy changes to ensure continued care for vulnerable populations.

The clinical course of hospitalized COVID-19 patients and aggravation risk prediction models: a retrospective, multi-center Korean cohort study

Background

Understanding the clinical course and pivotal time points of COVID-19 aggravation is critical for enhancing patient monitoring. This retrospective, multi-center cohort study aims to identify these significant time points and associate them with potential risk factors, leveraging data from a sizable cohort with mild-to-moderate symptoms upon admission.

Methods

This study included data from 1,696 COVID-19 patients with mild-to-moderate clinical severity upon admission across multiple hospitals in Daegu-Kyungpook Province (Daegu dataset) between February 18 and early March 2020 and 321 COVID-19 patients at Seoul Boramae Hospital (Boramae dataset) collected from February to July 2020. The approach involved: (1) identifying the optimal time point for aggravation using survival analyses with maximally selected rank statistics; (2) investigating the relationship between comorbidities and time to aggravation; and (3) developing prediction models through machine learning techniques. The models were validated internally among patients from the Daegu dataset and externally among patients from the Boramae dataset.

Results

The Daegu dataset showed a mean age of 51.0 ± 19.6 years, with 8 days for aggravation and day 5 being identified as the pivotal point for survival. Contrary to previous findings, specific comorbidities had no notable impact on aggravation patterns. Prediction models utilizing factors including age and chest X-ray infiltration demonstrated promising performance, with the top model achieving an AUC of 0.827 in external validation for 5 days aggravation prediction.

Conclusion

Our study highlights the crucial significance of the initial 5 days period post-admission in managing COVID-19 patients. The identification of this pivotal time frame, combined with our robust predictive models, provides valuable insights for early intervention strategies. This research underscores the potential of proactive monitoring and timely interventions in enhancing patient outcomes, particularly for those at risk of rapid aggravation. Our findings offer a meaningful contribution to understanding the COVID-19 clinical course and supporting healthcare providers in optimizing patient care and resource allocation.

Machine-learning model for predicting depression in second-hand smokers in cross-sectional data using the Korea National Health and Nutrition Examination Survey

Objective

Depression among non-smokers at risk of second-hand smoke (SHS) exposure has been a neglected public health concern despite their vulnerability. The objective of this study was to develop high-performance machine-learning (ML) models for the prediction of depression in non-smokers and to identify important predictors of depression for second-hand smokers.

Methods

ML algorithms were created using demographic and clinical data from the Korea National Health and Nutrition Examination Survey (KNHANES) participants from 2014, 2016, and 2018 (N = 11,463). The Patient Health Questionnaire was used to diagnose depression with a total score of 10 or higher. The final model was selected according to the area under the curve (AUC) or sensitivity. Shapley additive explanations (SHAP) were used to identify influential features.

Results

The light gradient boosting machine (LGBM) with the highest positive predictive value (PPV; 0.646) was selected as the best model among the ML algorithms, whereas the support vector machine (SVM) had the highest AUC (0.900). The most influential factors identified using the LGBM were stress perception, followed by subjective health status and quality of life. Among the smoking-related features, urine cotinine levels were the most important, and no linear relationship existed between the smoking-related features and the values of SHAP.

Conclusions

Compared with the previously developed ML models, our LGBM models achieved excellent and even superior performance in predicting depression among non-smokers at risk of SHS exposure, suggesting potential goals for depression-preventive interventions for non-smokers during public health crises.

Analysis of HTT CAG repeat expansion among healthy individuals and patients with chorea in Korea

BACKGROUND

Although the epidemiology of Huntington's disease (HD) in Korea differs notably from that in Western countries, the genetic disparities between these regions remain unclear.

OBJECTIVE

To investigate the characteristics and clinical significance of cytosine-adenine-guanine (CAG) repeat size associated with HD in the Korean population.

METHODS

We analyzed the CAG repeat lengths of the HTT gene in 941 healthy individuals (1,882 alleles) and 954 patients with chorea (1,908 alleles) from two referral hospitals in Korea. We presented normative CAG repeat length data for the Korean population and computed the reduced penetrance (36-39 CAG) and intermediate allele (27-35 CAG) frequencies in the two groups. Furthermore, we investigated the relationship between intermediate alleles and chorea development using logistic regression models in individuals aged ≥55 years.

RESULTS

The mean (±standard deviation) CAG repeat length in healthy individuals was 17.5 ± 2.0, with a reduced penetrance allele frequency of 0.05 % (1/1882) and intermediate allele frequency of 0.69 % (13/1882). We identified 213 patients with genetically confirmed HD whose CAG repeat length ranged from 39 to 140, with a mean of 45.2 ± 7.9 in the longer allele. Compared with normal CAG repeat alleles, intermediate CAG repeat alleles were significantly related to a higher risk of developing chorea (age of onset range, 63-84 years) in individuals aged ≥55 years.

CONCLUSIONS

This study provides insights into the specific characteristics of CAG repeat lengths in the HTT gene in the Korean population. The reduced penetrance and intermediate allele frequencies in the Korean general population seem to be lower than those reported in Western populations. The presence of intermediate alleles may increase the risk of chorea in the Korean elderly population, which requires further large-scale investigations.

Effect of anti-obesity agent HSG4112 on overweight and obese patients following 12 weeks of oral treatment: a study protocol for a randomised, double-blind, placebo-controlled, parallel-group, phase 2a clinical trial

BACKGROUND

Glaceum Inc. has proposed HSG4112, a structural analogue of glabridin, as a novel anti-obesity compound. Animal studies and phase I human trials have shown that HSG4112 improves energy consumption, normalises weight, and is safe and drug-resistant. Based on these results, the company plans to conduct a phase 2a clinical trial to determine the safety and efficacy of HSG4112 in overweight and obese patients.

METHODS

A 16-week randomised, double-blind, placebo-controlled, parallel-group trial will be conducted at five large hospitals in South Korea to assess the safety and efficacy of HSG4112 in overweight and obese patients. Participants who meet the inclusion/exclusion criteria will be assigned a subject number and randomly assigned to one of the four treatment groups (one group receiving a placebo) in a 1:1:1:1 ratio. The study's primary outcome will be to monitor the change in body weight (kg) from baseline to the end of treatment while monitoring safety and tolerability.

DISCUSSION

This trial will evaluate the efficacy and safety of HSG4112 in overweight and obese adults. Upon proving the safety and effectiveness of the newly developed mechanism, it might significantly improve the perception of the product among medical personnel and obese patients. Furthermore, it may aid in managing chronic conditions that require long-term treatment. Trial registration: ClinicalTrials.gov, identifier [NCT05197556].

Abstract P3-05-06: Prognostic impact of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis-related liver fibrosis on postoperative long-term outcomes of breast cancer

Background: Obesity, the modern ‘epidemic’, has shared correlation with fatty liver disease and breast cancer. However, previous studies on the relation between fatty liver and breast cancer have shown conflicting results on the impact of fatty liver on the survival and recurrence of breast cancer patients. And there was no attempt to find out the effect of liver fibrosis, which is the consequence of fatty liver disease, on female breast cancer patients. So we attempted to investigate the prognostic value of non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis(NASH)-related liver fibrosis in patients with breast cancer undergoing surgery, using noninvasive tools like liver-to-spleen attenuation(L/S) ratio and Fibrosis-4(FIB-4) score, respectively. Methods: A total of 933 patients diagnosed with primary invasive breast cancer and receiving surgery at the university-affiliated referral center between April 2006 and December 2019 were included. After excluding patients who had significant alcohol consumption and hepatitis viral infection,838 patients were divided into two groups according to the L/S ratio of 1 measured by the preoperative low-dose computed tomography: 91 patients(10.9%) with a L/S ratio&lt; 1 vs 747 patients(89.1%) with a L/S ratio≥1. They were also divided into two groups based on the FIB-4 score of 2.67: 804 patients (95.9%) with a FIB-4 score&lt; 2.67 vs 34 patients (4.1%) with a FIB-4 score≥2.67. The Cox proportional hazards model was used to calculate the hazard ratio (HR) and the 95% confidence interval (CI). Results: Patients with NAFLD were older, had higher BMI, and had a higher proportion of mastectomy and hyper-transaminasemia. They showed worse overall, disease-free, and regional recurrence-free survivals compared to those without NAFLD (p=0.008, 0.043, and 0.017, respectively), but no significant differences in local recurrence-free, systemic recurrence-free, and contralateral breast cancer-free survivals. The survival outcome of breast cancer did not show any relationship with NASH-related liver fibrosis (overall survival; p=0.061, disease-free survival; p=0.557). NAFLD was a significant risk factor for mortality in multivariable analysis (HR, 2.077; 95% CI, 1.052–4.102; p=0.035). After stratifying for subtypes of breast cancer, the L/S ratio remained a significant predictor of overall, disease-free, local recurrence-free, and regional recurrence-free survivals in only the hormone receptor-positive/HER2−negative subtype (p=0.007, 0.005, 0.009, and &lt; 0.001, respectively). Conclusion: NAFLD is significantly associated with decreased overall survival, disease-free survival and increased regional recurrence in patients with breast cancer especially the hormone receptor-positive/HER2−negative subtype. NASH-related fibrosis was not associated with survival. Therefore, NAFLD should be assessed in the preoperative setting for predicting long-term prognoses of breast cancer patients

Citation Format: Hyunsu Yeoh, Siwon Jang, Jong-Ho Cheun, Jin Ah Kwon, Myoung Seok Lee, Bumjo Oh, In Sil Choi, Sohee Oh, Jongjin Kim, Jeong Hwan Park, Won Kim, Ki-Tae Hwang. Prognostic impact of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis-related liver fibrosis on postoperative long-term outcomes of breast cancer [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P3-05-06.

The Evaluation of Web-Based Communication Interventions to Support Decisions About COVID-19 Vaccination Among Patients With Underlying Medical Conditions: Protocol for a Randomized Controlled Trial

BACKGROUND

The timeliness of raising vaccine acceptance and uptake among the public is essential to overcoming COVID-19; however, the decision-making process among patients with underlying medical conditions is complex, leading individuals to vaccine hesitancy because of their health status. Although vaccine implementation is more effective when deployed as soon as possible, vaccine hesitancy is a significant threat to the success of vaccination programs.

OBJECTIVE

This study aims to evaluate the effectiveness of a communication tool for patients with underlying medical conditions who should decide whether to receive a COVID-19 vaccine.

METHODS

This 3-arm prospective randomized controlled trial will test the effect of the developed communication intervention, which is fully automated, patient decision aid (SMART-DA), and user-centered information (SMART-DA-α). The web-based intervention was developed to help decision-making regarding COVID-19 vaccination among patients with underlying medical conditions. Over 450 patients will be enrolled on the web from a closed panel access website and randomly assigned to 1 of 3 equal groups stratified by their underlying disease, sex, age, and willingness to receive a COVID-19 vaccine. SMART-DA-α provides additional information targeted at helping patients' decision-making regarding COVID-19 vaccination. Implementation outcomes are COVID-19 vaccination intention, vaccine knowledge, decisional conflict, stress related to decision-making, and attitudes toward vaccination, and was self-assessed through questionnaires.

RESULTS

This study was funded in 2020 and approved by the Clinical Research Information Service, Republic of Korea. Data were collected from December 2021 to January 2022. This paper was initially submitted before data analysis. The results are expected to be published in the winter of 2023.

CONCLUSIONS

We believe that the outcomes of this study will provide valuable new insights into the potential of decision aids for supporting informed decision-making regarding COVID-19 vaccination and discovering the barriers to making informed decisions regarding COVID-19 vaccination, especially among patients with underlying medical conditions. This study will provide knowledge about the common needs, fears, and perceptions concerning vaccines among patients, which can help tailor information for individuals and develop policies to support them.

TRIAL REGISTRATION

Korea Clinical Information Service KCT0006945; https://cris.nih.go.kr/cris/search/detailSearch.do/20965.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/42837.

Association between weekend catch-up sleep and the risk of depression among Korean middle-aged adults

Determining whether weekend catch-up sleep (CUS) is related to high risk of depression in the general middle-aged population in Korea. This study is a cross-sectional study analyzing data from 2016 to 2017 collected in the Korea National Health and Nutrition Examination Survey VII-1, 2; less than 35 years, and more than 65 years were excluded. Interviews on sociodemographic characteristics, mood and sleep-related profiles, and comorbid medical conditions were conducted. Participants were divided into three groups according to weekday sleeping time (< 6 h, 6 to ≤ 8 h, and ≥ 8 h). Weekend CUS was identified when nocturnal sleep extension occurred over the weekend. The risk of depression was evaluated using the PHQ-9. The PHQ-9 score differed among the three groups. The prevalence of moderate to severe depressive symptom and PHQ-9 score ≥ 10 was the highest in the group sleep over 8 h and the next highest in the group sleep less than 6 h. In the group sleep less than 6 h, PHQ-9 score ≥ 10 was significantly higher in the without CUS group than the with CUS group. The risk of depression in middle-aged individuals was associated with both short and long sleep duration, and the severity and prevalence of depression were lower in the group with CUS when a shortened sleep pattern was observed.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41105-022-00415-3.

Machine learning models to predict the maximum severity of COVID-19 based on initial hospitalization record

Background

As the worldwide spread of coronavirus disease 2019 (COVID-19) continues for a long time, early prediction of the maximum severity is required for effective treatment of each patient.

Objective

This study aimed to develop predictive models for the maximum severity of hospitalized COVID-19 patients using artificial intelligence (AI)/machine learning (ML) algorithms.

Methods

The medical records of 2,263 COVID-19 patients admitted to 10 hospitals in Daegu, Korea, from February 18, 2020, to May 19, 2020, were comprehensively reviewed. The maximum severity during hospitalization was divided into four groups according to the severity level: mild, moderate, severe, and critical. The patient's initial hospitalization records were used as predictors. The total dataset was randomly split into a training set and a testing set in a 2:1 ratio, taking into account the four maximum severity groups. Predictive models were developed using the training set and were evaluated using the testing set. Two approaches were performed: using four groups based on original severity levels groups (i.e., 4-group classification) and using two groups after regrouping the four severity level into two (i.e., binary classification). Three variable selection methods including randomForestSRC were performed. As AI/ML algorithms for 4-group classification, GUIDE and proportional odds model were used. For binary classification, we used five AI/ML algorithms, including deep neural network and GUIDE.

Results

Of the four maximum severity groups, the moderate group had the highest percentage (1,115 patients; 49.5%). As factors contributing to exacerbation of maximum severity, there were 25 statistically significant predictors through simple analysis of linear trends. As a result of model development, the following three models based on binary classification showed high predictive performance: (1) Mild vs. Above Moderate, (2) Below Moderate vs. Above Severe, and (3) Below Severe vs. Critical. The performance of these three binary models was evaluated using AUC values 0.883, 0.879, and, 0.887, respectively. Based on results for each of the three predictive models, we developed web-based nomograms for clinical use (http://statgen.snu.ac.kr/software/nomogramDaeguCovid/).

Conclusions

We successfully developed web-based nomograms predicting the maximum severity. These nomograms are expected to help plan an effective treatment for each patient in the clinical field.

Comparative analysis of the oral microbiome of burning mouth syndrome patients

Burning mouth syndrome (BMS) is a chronic pain condition accompanied by unpleasant burning sensations of the oral mucosa. While multiple factors were proposed for the etiology, evidence suggested a neuropathic pain origin while others suspected the use of antibiotics as the underlying cause. Interestingly, several reports demonstrated the intimate interaction of the nervous system and the microbiome. The current study aims to elucidate the correlation of the oral microbiome with the pathophysiology of the primary BMS. Microbiome samples obtained from the unstimulated whole saliva of 19 primary BMS patients and 22 healthy controls were sequenced and analyzed of the V3-V4 region of 16S rRNA gene. There was a distinct difference in the microbial composition between the BMS and the control groups at all taxonomic levels. Alpha diversity indexes of the oral microbiome were significantly lower in the BMS group. The samples were readily distinguished by multidimensional scaling analysis and linear discriminant analysis effect size. Streptococcus, Rothia, Bergeyella, and Granulicatella genus were dominant in the BMS group, while Prevotella, Haemophilus, Fusobacterium, Campylobacter, and Allorevotella genus were more abundant in the healthy group. Distinct microbiome signatures of BMS patients suggested a diagnostic value and a potential role in the pathogenesis of BMS.

  

Microbiota of Breast Tissue and Its Potential Association with Regional Recurrence of Breast Cancer in Korean Women

Recent studies have reported dysbiosis of the microbiome in breast tissue collected from patients with breast cancer and the association between the microbiota and disease progression. However, the role of the microbiota in breast tissue remains unclear, possibly due to the complexity of breast cancer and various factors, including racial and geographical differences, influencing microbiota in breast tissue. Here, to determine the potential role of microbiota in breast tumor tissue, we analyzed 141 tissue samples based on three different tissue types (tumor, adjacent normal, and lymph node tissues) from the same patients with breast cancer in Korea. The microbiota was not simply distinguishable based on tissue types. However, the microbiota could be divided into two cluster types, even within the same tissue type, and the clinicopathologic factors were differently correlated in the two cluster types. Risk of regional recurrence was also significantly different between the microbiota cluster types (p = 0.014). In predicted function analysis, the pentose and glucuronate interconversions were significantly different between the cluster types (q < 0.001), and Enterococcus was the main genus contributing to these differences (q < 0.01). Results showed that the microbiota of breast tissue could interact with the host and influence the risk of regional recurrence. Although further studies would be recommended to validate our results, this study could expand our understanding on the breast tissue microbiota, and the results might be applied to develop novel prediction methods and treatments for patients with breast cancer.

Clinical Practice Guidelines for Managing Frailty in Community-Dwelling Korean Elderly Adults in Primary Care Settings

Aging has become a global problem, and the interest in healthy aging is growing. Healthy aging involves a focus on the maintenance of the function and well-being of elderly adults, rather than a specific disease. Thus, the management of frailty, which is an accumulated decline in function, is important for healthy aging. The adaptation method was used to develop clinical practice guidelines on frailty management that are applicable in primary care settings. The guidelines were developed in three phases: preparation (organization of committees and establishment of the scope of development), literature screening and evaluation (selection of the clinical practice guidelines to be adapted and evaluation of the guidelines using the Korean Appraisal of Guidelines for Research and Evaluation II tool), and confirmation of recommendations (three rounds of Delphi consensus and internal and external reviews). A total of 16 recommendations (five recommendations for diagnosis and assessment, 11 recommendations for intervention of frailty) were made through the guideline development process. These clinical practice guidelines provide overall guidance on the identification, evaluation, intervention, and monitoring of frailty, making them applicable in primary care settings. As aging and “healthy aging” become more and more important, these guidelines are also expected to increase in clinical usefulness.

Yellow Yeast Rice Prepared Using Aspergillus terreus DSMK01 Lowers Cholesterol Levels by Stimulating Bile Salt Export Pump in Subjects with Mild-to-Moderate Hypercholesterolemia: A Randomized Controlled Trial

SCOPE

Aspergillus terreus is an industrial microorganism used in the brewing and sauce industries. It produces monacolin K, a natural statin. The study conducted an 8-week randomized controlled trial with hypercholesterolemic subjects to examine the hypocholesterolemic effects and mechanisms of supplementation with yellow yeast rice (YYR) prepared by growing Aspergillus fungi on steamed rice.

METHODS AND RESULTS

YYR supplementation markedly reduced total cholesterol, LDL, and apolipoprotein B100 levels in plasma compared with the placebo. In addition, YYR induced a significantly increased ATP binding cassette subfamily B member 11 (ABCB11) gene expression compared with the placebo, indicating the role of YYR in lowering intrahepatic cholesterol availability by stimulating the bile salt export pump. Upregulation of LDL receptor (LDLR) and 3-methylglutaryl-CoA reductase (HMGCR) gene expressions provided additional evidence to support the role of YYR in reducing hepatic cholesterol availability. Plasma metabolomic profiling revealed the possibility of diminishing bile acid absorption. Finally, Spearman rank analysis showed correlations of plasma cholesterol profiles with HMGCR and LDLR gene expressions (negative) and plasma bile acids (positive). Plasma bile acids also correlated with ABCB11 (negative) and LDLR (positive) gene expressions.

CONCLUSION

These findings suggest that daily YYR supplementation exerted hypocholesterolemic effects in mild-to-moderate hypercholesterolemic subjects by reducing intrahepatic cholesterol availability through stimulating bile salt export pumps and inhibiting cholesterol biosynthesis.

Associations of Diet Quality and Sleep Quality with Obesity

Short sleep duration or poor sleep quality has been associated with an increased risk of obesity. Although the underlying mechanism remains unclear, one proposed pathway is poor diet quality. This cross-sectional study investigated whether diet quality modifies the association between sleep status and obesity in Korean adults. We used the baseline data and samples of 737 men and 428 women (n = 1165) aged 19–64, who participated in the prospective Ewha–Boramae cohort study. Sleep duration was dichotomized into ≥7 h (adequate) and <7 h (insufficient). Pittsburgh Sleep Quality Index (PSQI) values, reflecting sleep quality, were dichotomized into >5 (poor quality) and ≤5 (good quality). Diet quality was evaluated by the Recommended Food Score (RFS). Obesity was associated with higher rates of insufficient sleep and poor sleep quality in women, but not in men. After adjustment for covariates, women with poor sleep quality had a higher risk of obesity than women with good sleep quality (OR = 2.198; 95% CI = 1.027–4.704); this association occurred only in the group with RFS ≤ median score. Our findings support a significant association between sleep quality and obesity, and this association has been potentially modified by dietary quality in women.

The relationship between smoking cigarettes and metabolic syndrome: A cross-sectional study with non-single residents of Seoul under 40 years old

Introduction

Young adults receive health screenings at lower rates than other age groups, and it may be difficult to detect diseases in the early stages for this group. We examined differences in health status relative to smoking in a young age group using the results of health screenings conducted in engaged and newly married couples in a cross-sectional database.

Methods

The participants in this study were 808 young adults who visited a municipal hospital health screening center from July 2017 to March 2019. They completed a self-administered questionnaire, and physical measurements and a blood test were taken. They were classified into non-cigarette smokers, past cigarette smokers, and current cigarette smokers according to smoking behavior. In this study, we compared metabolic syndrome, the main components of which include obesity, high blood pressure, high blood triglycerides, low levels of HDL cholesterol and insulin resistance, with smoking behavior.

Results

The mean age of the participants was 30.9±3.3 years (males 32.0±3.2, females 29.8±3.1), and 13.9% were current cigarette smokers (males 22.8%, females 5.1%). The proportion of men in their 30s was 76.6% for male group and 50.0% for female group, indicating that the male group had a relatively higher proportion of older and current smokers. Significant differences were found in age, sex, blood pressure, metabolic abnormalities, and drinking status according to smoking status. Cigarette smokers had a 2.4-fold greater risk of metabolic syndrome (95% confidence interval [CI], 1.43–3.96) than non-cigarette smokers; in particular, they had a 2.6-fold (95% CI, 1.44–4.55) greater risk of hypertriglyceridemia and a three-fold (95% CI, 1.45–6.35) greater risk of low HDL cholesterol.

Conclusions

In comparison with non-single, young and generally healthy city dwellers, the risk of metabolic syndrome was significantly higher in smokers than in non-smokers, and in particular, it was confirmed that the risk of hypertriglyceridemia and low HDL cholesterolemia was higher. Smoking cessation is necessary, even for the young, because smoking may cause changes in blood lipids even if the smoking duration is short.

A Machine Learning Algorithm for Quantitatively Diagnosing Oxidative Stress Risks in Healthy Adult Individuals Based on Health Space Methodology: A Proof-of-Concept Study Using Korean Cross-Sectional Cohort Data

Oxidative stress aggravates the progression of lifestyle-related chronic diseases. However, knowledge and practices that enable quantifying oxidative stress are still lacking. Here, we performed a proof-of-concept study to predict the oxidative stress status in a healthy population using retrospective cohort data from Boramae medical center in Korea (n = 1328). To obtain binary performance measures, we selected healthy controls versus oxidative disease cases based on the "health space" statistical methodology. We then developed a machine learning algorithm for discrimination of oxidative stress status using least absolute shrinkage and selection operator (LASSO)/elastic net regression with 10-fold cross-validation. A proposed fine-tune model included 16 features out of the full spectrum of diverse and complex data. The predictive performance was externally evaluated by generating receiver operating characteristic curves with area under the curve of 0.949 (CI 0.925 to 0.974), sensitivity of 0.923 (CI 0.879 to 0.967), and specificity of 0.855 (CI 0.795 to 0.915). Moreover, the discrimination power was confirmed by applying the proposed diagnostic model to the full dataset consisting of subjects with various degrees of oxidative stress. The results provide a feasible approach for stratifying the oxidative stress risks in the healthy population and selecting appropriate strategies for individual subjects toward implementing data-driven precision nutrition.

Spore-forming Bacillus coagulans SNZ 1969 improved intestinal motility and constipation perception mediated by microbial alterations in healthy adults with mild intermittent constipation: A randomized controlled trial

The spore-forming Bacillus coagulans has attracted attention for their therapeutic action in the colon. However, the mechanism of this action remains unclear. In this study, healthy subjects with mild intermittent constipation were supplemented with B. coagulans SNZ 1969 (BC) or the placebo for 8 weeks (n = 80). Then, we assessed colonic transit time (CTT), weekly complete spontaneous bowel movement (CSBM) scores, bowel discomfort symptom (BDS) scores, and 16S rRNA fecal microbiome profiles. The association between the critically altered gut microbiome and clinical outcomes was analyzed using redundancy analysis (RDA) and validated by receiver operating characteristic (ROC) curves. BC supplementation significantly improved CTT (p = 0.031), CSBM at weeks 2 (p = 0.045) and 9 (p = 0.038), and BDS at weeks 3 (p = 0.019) and 6 (p = 0.029) compared with the placebo, while altering the community composition of the gut microbiota. We also confirmed that BC was effectively delivered to the gut. Finally, the multivariate redundancy analysis concluded that BC-induced enrichment of Lactobacillales and diminishment of Synergistales were related to CTT improvements. This study provides important new data on how spore-forming B. coagulans SNZ 1969 contributes to improving gut motility and presents evidence supporting the use of B. coagulans SNZ 1969 in adults with mild intermittent constipation and habitual low intake of fruit and vegetables.

Prediction Models for the Clinical Severity of Patients With COVID-19 in Korea: Retrospective Multicenter Cohort Study

BACKGROUND

Limited information is available about the present characteristics and dynamic clinical changes that occur in patients with COVID-19 during the early phase of the illness.

OBJECTIVE

This study aimed to develop and validate machine learning models based on clinical features to assess the risk of severe disease and triage for COVID-19 patients upon hospital admission.

METHODS

This retrospective multicenter cohort study included patients with COVID-19 who were released from quarantine until April 30, 2020, in Korea. A total of 5628 patients were included in the training and testing cohorts to train and validate the models that predict clinical severity and the duration of hospitalization, and the clinical severity score was defined at four levels: mild, moderate, severe, and critical.

RESULTS

Out of a total of 5601 patients, 4455 (79.5%), 330 (5.9%), 512 (9.1%), and 301 (5.4%) were included in the mild, moderate, severe, and critical levels, respectively. As risk factors for predicting critical patients, we selected older age, shortness of breath, a high white blood cell count, low hemoglobin levels, a low lymphocyte count, and a low platelet count. We developed 3 prediction models to classify clinical severity levels. For example, the prediction model with 6 variables yielded a predictive power of >0.93 for the area under the receiver operating characteristic curve. We developed a web-based nomogram, using these models.

CONCLUSIONS

Our prediction models, along with the web-based nomogram, are expected to be useful for the assessment of the onset of severe and critical illness among patients with COVID-19 and triage patients upon hospital admission.

Possible aerosol transmission of COVID-19 associated with an outbreak in an apartment in Seoul, South Korea, 2020

BACKGROUND

Scientists have strongly implied that aerosols could be the plausible cause of coronavirus disease-2019 (COVID-19) transmission; however, aerosol transmission remains controversial.

THE STUDY

We investigated the epidemiological relationship among infected cases on a recent cluster infection of COVID-19 in an apartment building in Seoul, South Korea. All infected cases were found along two vertical lines of the building, and each line was connected through a single air duct in the bathroom for natural ventilation. Our investigation found no other possible contact between the cases than the airborne infection through a single air duct in the bathroom. The virus from the first infected case can be spread to upstairs and downstairs through the air duct by the (reverse) stack effect, which explains the air movement in a vertical shaft.

CONCLUSIONS

This study suggests aerosol transmission, particularly indoors with insufficient ventilation, which is underappreciated.

Comparative analysis of the tonsillar microbiota in IgA nephropathy and other glomerular diseases

Immunoglobulin A nephropathy (IgAN) involves repeated events of gross haematuria with concurrent upper airway infections. The mucosal immune system, especially the tonsil, is considered the initial site of inflammation, although the role of the tonsillar microbiota has not been established in IgAN. In this study, we compared the tonsillar microbiota of patients with IgAN (n = 21) and other glomerular diseases (n = 36) as well as, healthy controls (n = 23) from three medical centres in Korea. The microbiota was analysed from tonsil swabs using the Illumina MiSeq system based on 16S rRNA gene. Tonsillar bacterial diversity was higher in IgAN than in other glomerular diseases, although it did not differ from that of healthy controls. Principal coordinates analysis revealed differences between the tonsillar microbiota of IgAN and both healthy and disease controls. The proportions of Rahnella, Ruminococcus_g2, and Clostridium_g21 were significantly higher in patients with IgAN than in healthy controls (corrected p < 0.05). The relative abundances of several taxa were correlated with the estimated glomerular filtration rate, blood urea nitrogen, haemoglobin, and serum albumin levels. Based on our findings, tonsillar microbiota may be associated with clinical features and possible immunologic pathogenesis of IgAN.

Psychological well-being and gene expression in Korean adults: The role of age

BACKGROUND

Happiness has traditionally been thought to comprise two parts - pleasure (hedonia) and meaning (eudaimonia). Even though the two types of happiness are correlated, genomics studies have found distinct transcriptional correlates of hedonia and eudaimonia, particularly in the Conserved Transcriptional Response to Adversity (CTRA) marked by up-regulation of proinflammatory genes and down-regulation of interferon-related genes. Eudaimonia has been associated with reduced CTRA gene expression in several studies, whereas hedonia shows no consistent association with the CTRA. However, most of these social genomics studies have been conducted in Western cultures with Caucasian samples, so it is unclear if these findings extended to non-Western cultures with other ethnic groups. Moreover, it is unknown whether age might modify the association between CTRA gene expression and eudaimonia. To this end, we examined in a sample of Koreans the relationship between CTRA profiles and measures of hedonia and eudaimonia, as well as the role of age in modulating the strength of those relationships.

METHODS

Blood samples were collected from 152 healthy Korean adults (mean age = 44.64; 50 % female). Well-being was measured using the Mental Health Continuum short form (MHC-SF), Ryff Scales of Psychological Well-being (PWB), and subjective well-being (SWB) scales. RNA transcriptome profiles were obtained by RNA sequencing. Mixed effect linear model analyses examined the association between CTRA gene expression and measures of MHC-SF, SWB, PWB (total scores and six subscales) and additional analyses examined a possible moderating role of age.

RESULTS

CTRA gene expression was significantly downregulated in association with the MHC-SF eudaimonic scores as well as the PWB total scores. Among the six domains of PWB, autonomy showed the strongest inverse correlation with CTRA profiles. Moreover, the inverse association between CTRA and PWB was stronger for older participants.

CONCLUSION

Eudaimonia is associated with reduced CTRA gene expression in a Korean population, with particularly marked relationships for autonomy. Findings also suggest that aging with meaning may bring biological advantage in later life.

Efficacy and safety of HX 110-A and HX 110-B in promoting respiratory health: protocol for an 8-week, randomized, double-blind, parallel group, placebo-controlled trial

BACKGROUND

HX110-A and HX110-B are compound extracts based on radix adenophorae and rhizoma dioscoreae, respectively, which have anti-inflammatory activity. There are limited data on whether they may help improve respiratory conditions including lung function. Therefore, in this trial, we will evaluate the effectiveness and safety of the use of HX110-A and HX110-B for the treatment of respiratory health in adults with mild respiratory symptoms.

METHODS

This will be an 8-week, randomized, double-blind, parallel group, placebo-controlled trial with three arms. Adults more than 40 years old with persistent respiratory symptoms will be enrolled. Patients with definite respiratory disease or with a history of recent intake of antioxidants or anti-inflammatory agents will be excluded. Study subjects will be assigned at a 1:1:1 ratio into the following three arms: controls, experimental group 1 (HX110-A), and experimental group 2 (HX110-B). Control or experimental foods will be administered for 8 weeks, and follow-up will be up to 12 weeks. The primary outcome will be total antioxidant capacity. Secondary outcomes will be inflammatory indexes, respiratory symptoms, lung function, quality of life, and fatigue level. Safety outcomes will be assessed by monitoring adverse events and vital signs, and through clinical pathology tests.

RESULTS

This trial will reveal the effectiveness and safety of HX110-A and/or HX110-B for medical purposes in adults with respiratory symptoms. The results should clarify if active intake of specific foods with these functional compounds may promote respiratory health in adults without definite respiratory disease.

TRIAL REGISTRATION

Clinical Research Information Service, KCT0003614. Registered 12 May 2019 (Respectively registered, https://cris.nih.go.kr/cris/en/search/search_result_st01.jsp?seq=13364).

Demonstration of a ring-FEL as an EUV lithography tool

This paper presents the required structure and function of a ring-FEL as a radiation source for extreme ultraviolet radiation lithography (EUVL). A 100 m-long straight section that conducts an extremely low emittance beam from a fourth-generation storage ring can increase the average power at 13.5 nm wavelength to up to 1 kW without degrading the beam in the rest of the ring. Here, simulation results for a ring-FEL as a EUVL source are described.

Perceptions, Attitudes, Behaviors, and Barriers to Effective Obesity Care in South Korea: Results from the ACTION-IO Study

Background

The prevalence of obesity is increasing in South Korea. We aimed to identify the perceptions, attitudes, behaviors, and barriers to effective obesity care in South Korea.

Methods

The Awareness, Care, and Treatment In Obesity maNagement–an International Observation (ACTION-IO) study was a cross-sectional survey conducted in 11 countries. Respondents were people with obesity (PwO; body mass index ≥25 kg/m² in South Korea from self-reported height/weight) and healthcare professionals (HCPs) primarily involved in direct care with PwO.

Results

The survey was completed by 1,500 PwO and 200 HCPs in South Korea. PwO (78%) and HCPs (81%) agreed that obesity is a chronic disease, but more PwO (84%) believed that obesity has an extreme impact on their overall health compared with HCPs (65%). Most PwO felt completely responsible for their own weight loss (81%), and 78% reported at least one serious weight loss attempt in the past. In contrast, HCPs reported that, on average, only 35% of their patients with obesity had made a serious attempt at losing weight. Only 31% of PwO had discussed weight with their HCP in the past 5 years; of those, 78% appreciated that HCPs initiated these conversations. Short appointment times restricted weight loss discussions for 70% of HCPs, and 29% of HCPs expressed complete comfort with such conversations.

Conclusion

South Korean PwO are motivated to lose weight and have expressed interest in HCPs being more active in their weight management. Further nationwide efforts may be required to lower the barriers to education about obesity and effective weight loss discussion and management.

The association between mastication and mild cognitive impairment in Korean adults

Currently, a few of studies revealed that there is an association between mastication and cognitive impairment. There is no study of Korean adult representative samples in relation to mastication and cognitive decline. This study was to investigate the relationship between mastication and mild cognitive impairment in Korean adults.A population-based cross-sectional study was conducted in which a total of 7029 subjects (2987 men and 4042 women) over 45 years old were surveyed from the Korea Longitudinal Study on Aging (KLoSA), Round 5th survey. Logistic regression analysis was performed for the study data controlling for confounding factors such as age, gender, education, income, smoking, drinking, exercise, wearing denture, and the number of chronic diseases.Decreased chewing function is associated with mild cognitive impairment (odds ratio [OR] = 3.24, 95% confidence interval [CI] = 2.67-3.93) after controlling for confounding variables. In the participants who did not wear dentures, the reduction of chewing function was strongly correlated with mild cognitive impairment (OR = 3.97, 95% CI = 3.11-5.08).Mastication was associated with mild cognitive impairment. To prevent cognitive decline, health specialists should pay more attention to the decline of the mastication in people without dentures.

Prediction of Suicidal Ideation among Korean Adults Using Machine Learning: A Cross-Sectional Study

OBJECTIVE

Suicidal ideation (SI) precedes actual suicidal event. Thus, it is important for the prevention of suicide to screen the individuals with SI. This study aimed to identify the factors associated with SI and to build prediction models in Korean adults using machine learning methods.

METHODS

The 2010-2013 dataset of the Korea National Health and Nutritional Examination Survey was used as the training dataset (n=16,437), and the subset collected in 2015 was used as the testing dataset (n=3,788). Various machine learning algorithms were applied and compared to the conventional logistic regression (LR)-based model.

RESULTS

Common risk factors for SI included stress awareness, experience of continuous depressive mood, EQ-5D score, depressive disorder, household income, educational status, alcohol abuse, and unmet medical service needs. The prediction performances of the machine learning models, as measured by the area under receiver-operating curve, ranged from 0.794 to 0.877, some of which were better than that of the conventional LR model (0.867). The Bayesian network, LogitBoost with LR, and ANN models outperformed the conventional LR model.

CONCLUSION

A machine learning-based approach could provide better SI prediction performance compared to a conventional LR-based model. These may help primary care physicians to identify patients at risk of SI and will facilitate the early prevention of suicide.

Augmented decision-making for acral lentiginous melanoma detection using deep convolutional neural networks

BACKGROUND

Several studies have achieved high-level performance of melanoma detection using convolutional neural networks (CNNs). However, few have described the extent to which the implementation of CNNs improves the diagnostic performance of the physicians.

OBJECTIVE

This study is aimed at developing a CNN for detecting acral lentiginous melanoma (ALM) and investigating whether its implementation can improve the initial decision for ALM detection made by the physicians.

METHODS

A CNN was trained using 1072 dermoscopic images of acral benign nevi, ALM and intermediate tumours. To investigate whether the implementation of CNN can improve the initial decision for ALM detection, 60 physicians completed a three-stage survey. In Stage I, they were asked for their decisions solely on the basis of dermoscopic images provided to them. In Stage II, they were also provided with clinical information. In Stage III, they were provided with the additional diagnosis and probability predicted by the CNN.

RESULTS

The accuracy of ALM detection in the participants was 74.7% (95% confidence interval [CI], 72.6-76.8%) in Stage I and 79.0% (95% CI, 76.7-81.2%) in Stage II. In Stage III, it was 86.9% (95% CI, 85.3-88.4%), which exceeds the accuracy delivered in Stage I by 12.2%p (95% CI, 10.1-14.3%p) and Stage II by 7.9%p (95% CI, 6.0-9.9%p). Moreover, the concordance between the participants considerably increased (Fleiss-κ of 0.436 [95% CI, 0.437-0.573] in Stage I, 0.506 [95% CI, 0.621-0.749] in Stage II and 0.684 [95% CI, 0.621-0.749] in Stage III).

CONCLUSIONS

Augmented decision-making improved the performance of and concordance between the clinical decisions of a diverse group of experts. This study demonstrates the potential use of CNNs as an adjoining, decision-supporting system for physicians' decisions.

Effect of mHealth With Offline Antiobesity Treatment in a Community-Based Weight Management Program: Cross-Sectional Study

BACKGROUND

Weight loss interventions using mobile phone apps have recently shown promising results.

OBJECTIVE

This study aimed to analyze the short-term weight loss effect of a mobile coaching intervention when it is integrated with a local public health care center and a regional hospital's antiobesity clinic as a multidisciplinary model.

METHODS

A total of 150 overweight or obese adults signed up to complete an 8-week antiobesity intervention program with human coaching through a mobile platform. Paired t tests and multiple linear regression analysis were used to identify the intervention factors related to weight change.

RESULTS

Among the 150 participants enrolled in this study, 112 completed the 8-week weight loss intervention. Weight (baseline: mean 77.5 kg, SD 12.9; after intervention: mean 74.8 kg, SD 12.6; mean difference -2.73 kg), body mass index, waist circumference, fat mass (baseline: mean 28.3 kg, SD 6.6; after intervention: mean 25.7 kg, SD 6.3; mean difference -2.65 kg), and fat percentage all showed a statistically significant decrease, and metabolic equivalent of task (MET) showed a statistically significant increase after intervention. In multiple linear regression analysis, age (beta=.07; P=.06), △MET (beta=-.0009; P=.10), number of articles read (beta=-.01; P=.04), and frequency of weight records (beta=-.05; P=.10; R2=0.4843) were identified as significant factors of weight change. Moreover, age (beta=.06; P=.03), sex (female; beta=1.16; P=.08), △MET (beta=-.0009; P<.001), and number of articles read (beta=-.02; P<.001; R2=0.3728) were identified as significant variables of fat mass change.

CONCLUSIONS

The multidisciplinary approach, combining a mobile health (mHealth) care app by health care providers, was effective for short-term weight loss. Additional studies are needed to evaluate the efficacy of mHealth care apps in obesity treatment.

Impact of number of medications and age on adherence to antihypertensive medications: A nationwide population-based study

This study tried to investigate the effects of number of medications and age on antihypertensive medication adherence in a real-world setting using a nationwide representative cohort.We obtained data from the National Health Insurance Service-National Sample Cohort (NHIS-NSC) of Korea, which is a sample of 2.2% (N = 1,048,061) of total population (N = 46,605,433). Patients aged 20 years or older (N = 150,550) who took antihypertensive medications for at least 1 year were selected. Medication possession ratio (MPR) was used for measuring adherence. The subjects were divided into 5 subgroups according to total number of medications: 1-2, 3-4, 5-6, 7-8, and 9 or more. The mean age and the mean number of medications were 60.3 ± 12.6 years and 4.1 ± 2.2, respectively. The mean MPR was 80.4 ± 23.9%, and 66.9% (N = 100,645) of total subjects were adherent (MPR ≥ 80%). The overall tendency of antihypertensive medication adherence according to the total number of medications displayed an inverted U-shape with a peak at 3-4 drugs. Adherence consistently increased as the age increased until age 69 and started to decrease from age 70. The proportion of adherent patients (MPR ≥ 80%) according to the total number of medications also showed an inverted U-shape with a peak at 3-4 drugs. When the same number of drugs was taken, the proportion of adherent patients according to age featured an inverted U- shape with a peak at 60 to 69 years. Patients taking 9 or more total drugs had the overall odds ratio (95% CI) of non-adherence (MPR < 80%) with 1.17 (1.11-1.24) compared with those taking 1 to 8 total drugs and the odds ratios in the age subgroups of 40 to 49, 50 to 59, 60 to 69 years were 1.57 (1.31-1.87), 1.21 (1.08-1.36), and 1.14 (1.04-1.25), respectively (P < .05).Association between age, total number of medications, and antihypertensive adherence displayed an inverted U-shape with a peak at 3 to 4 total medications and at age 60 to 69 years. When the total number of drugs was 9 or more, adherence decreased prominently, regardless of age.

Association between weekend catch-up sleep and health-related quality of life of Korean adults

Sleep debt is known to have harmful effects on health. Weekend catch-up sleep (CUS) is a behavior to cope with weekday sleep debt. However, it is unclear whether weekend CUS has advantageous effects on health because sleep hygiene guidelines recommend regularizing bed time and arousal time. The aim of this study was to identify whether weekend CUS behavior has an association with better health-related quality of life (HRQoL)According to the inclusion criteria, 4871 participants were selected from the 2016 Korea National Health and Nutrition Examination Survey. Sleep questionnaires and European quality of life scale-5 dimensions (EQ-5D) questionnaire were used to collect data about the participants' sleep patterns and HRQoL. Odds ratios (ORs) with 95% confidence intervals (95% CIs) for each dimensional problem of EQ-5D were derived by logistic regression. Mean EQ-5D index scores were compared between weekend CUS and non-CUS groups based on their weekday sleep durations and quintile of chronotype.The ORs of dimensional problems of HRQoL of non-CUS group versus weekend CUS group were 1.63 (95% CI 1.07, 2.47) for usual activities, and 1.45 (95% CI 1.11, 1.90) for anxiety/depression. Mean EQ-5D scores of the weekend CUS group were significantly higher than those of the non-CUS group for sleeping less than 6 hours (0.953 ± 0.004 vs 0.936 ± 0.007, P = .036) and sleeping 6 to 7 hours (0.965 ± 0.003 vs 0.955 ± .0.004, P = .045). These findings were similar in the fourth quintile (Q4) of chronotype (0.965 ± 0.007 vs 0.951 ± 0.008, P = .008) and fifth quintile (Q5) (0.952 ± 0.006 vs 0.941 ± 0.007, P = .022).Weekend CUS behavior was associated with better HRQoL than non-CUS among Korean adults. Especially, it was significant in participants who slept for less than 7 hours or participants whose chronotype was the fourth or fifth quintile. Attention may be needed for subjects with sleep short time and later chronotype who do not have weekend-CUS behaviors, because there is a risk that their HRQoL might be compromised.

The Relationship between Electronic Cigarette Use with or without Cigarette Smoking and Alcohol Use among Adolescents: Finding from the 11th Korea Youth Risk Behavior Web-based Survey

BACKGROUND

Electronic cigarette (EC) consumption ('vaping') is rapidly increasing, not only in adults but also in adolescents. Little is known about the association between vaping and problem behaviors such as drinking.

METHODS

We used data from the 11th Korea Youth Risk Behavior Web-based Survey, which was conducted in 2015 and included 68,043 participants who were Korean middle and high school students. The survey assessed EC, cigarette, and alcohol use. Multiple regression analysis was used to examine risk of current drinking and problem drinking across the following categories of users: never user (never used either product), former user (use of EC or cigarettes in the past, but not currently), vaping only, smoking only, and dual user (current use of both products).

RESULTS

EC only users were 1.2% in males, and 0.3% in females. Dual user of both conventional cigarettes and ECs were 5.1% in males, and 1.2% in females. Drinking frequency, drinking quantity per once, and problem drinking were higher among vapers than non-vapers and former-vapers, moreover, were higher among daily vapers than intermittent vapers. Compared to never users, EC only users were higher on risk of current drink and problem drink. The dual users were highest on risk of current drink.

CONCLUSION

Vaping is independently associated with alcohol use problems in Korean students, even those not currently smoking. Moreover, dual use of cigarettes and ECs is strongly associated with alcohol use problems. Therefore, vaping students should be concerned about their hidden alcohol use problems.

Combination of Diet Quality Score, Plasma Carotenoids, and Lipid Peroxidation to Monitor Oxidative Stress

It is important to understand the association between oxidative stress-related parameters and to evaluate their status in advance of chronic disease development. Further development towards disease can then be prevented by dietary antioxidants. The present study was aimed at assessing the relationship between diet quality, blood antioxidants, and oxidative damage to determine whether the association between these markers differs by oxidative stress status. For a cross-sectional analysis, we used data and samples of baseline information from a prospective cohort study. A total of 1229 eligible adults were classified into apparently healthy subjects (66.5%) and those with oxidative stress conditions (35.5%). Diet quality was assessed using the recommended food score (RFS). Plasma carotenoids (blood antioxidants) and blood/urinary malondialdehyde (MDA; oxidative damage) were determined by high-performance liquid chromatography. We found that the healthy group was younger, and they had a lower RFS and plasma MDA level and higher plasma carotenoids compared to the oxidative stress condition group. This result is probably due to the quenching of the oxidative response in the tissues of those people. A positive association of RFS with plasma carotenoids (total and β-carotene) was found in both groups, suggesting that carotenoids are a robust reflection of diet quality. Negative associations were observed between plasma MDA and RFS in the oxidative stress condition group and between urinary MDA and plasma zeaxanthin in the healthy group. Erythrocyte MDA was positively associated with plasma carotenoids (total, lutein, zeaxanthin, β-cryptoxanthin, and α- and β-carotene), regardless of health condition, probably also as a result of the use of carotenoids as antioxidants. In conclusion, these results indicate that the above three factors may be associated with the oxidative stress response and depend on the oxidative status. Furthermore, it was also suggested that erythrocytes are important in the oxidative stress response and the quenching of this response is represented in plasma carotenoids.

Association between sleep duration and musculoskeletal pain: The Korea National Health and Nutrition Examination Survey 2010-2015

Both extremely long and short sleep durations have been associated with increased risk of numerous health problems. This study examined the association between self-reported sleep duration and reporting of musculoskeletal pain in the adult Korean population.This study included data from 17,108 adults aged ≥50 years, obtained from the Korea National Health and Nutrition Examination Survey 2010-2012 and 2013-2015. Self-reported daily hours slept and the presence of musculoskeletal pain in knee joint, hip joint, or low back were examined. Patients were stratified into 5 groups by their sleep duration: ≤5, 6, 7, 8, or ≥9 h. Multivariate logistic regression analysis was performed, adjusting for covariates including age, sex, marital status, smoking, alcohol use, family income level, education, physical exercise, body mass index (BMI), and stress level.A U-shaped relationship was observed between the length of sleep duration and the presence of musculoskeletal pain. After adjusting for covariates, sleep duration of ≤5 h or ≥9 h was significantly associated with musculoskeletal pain experienced for more than 30 days over a 3-month period. We also found that the presence of multi-site musculoskeletal pain was significantly higher among those who slept for ≤5 h or ≥9 h than in those who slept for 7 h.These findings suggest that either short or long sleep duration is associated with musculoskeletal pain among Korean adults.

Results from South Korea's 2018 Report Card on physical activity for children and youth

Background/Objective

South Korea's 2018 Report Card on Physical Activity for Children and Youth is the second comprehensive evaluation of physical activity and the sources of influence based on the 10 core indicators provided by the Active Healthy Kids Global Alliance. It will serve as an advocacy tool to promote physical activity among children and youth.

Methods

Three national surveillance data (i.e., 2017 Korea Youth Risk Behavior Web-based Survey, 2016 Korea National Health and Nutrition Examination Survey, 2016 Physical Activity Promotion System) were used as main sources to evaluate the indicators. Descriptive statistics were performed to obtain prevalence estimates of physical activity-related indicators. In addition, expert opinions as well as the most recently available published or unpublished relevant sources were synthesized.

Results

South Korea's 2018 Report Card, compared to the 2016 Report Card, showed favourable changes in the Active Transportation (B+), Organized Sports Participation (C), Sedentary Behaviours (D), and School (D+) indicators, while unfavourable changes were shown in Overall Physical Activity (F) and Government (D). Physical Fitness was graded as D+. In parallel with the 2016 Report Card, Active Play, Family and Peers, and Community and Environment remain ungraded due to insufficient data.

Conclusions

Successes as well as gaps and research needs were identified in the 2018 Report Card. Though some indicators have shown improvement, most children and youth continue to be insufficiently physically active with overall poor grades (Average of D+). To achieve substantial improvement in all grades in future Report Cards, more institutional and governmental support and investment is needed to promote physical activity. Furthermore, effort should be made to generate data pertaining to the indicators that were ungraded.

Effect of duration of diabetes on bone mineral density: a population study on East Asian males

BACKGROUND

The aim of the present study is to evaluate the association between BMD and type 2 DM status in middle-aged and elderly men. To investigate a possible correlation, the present study used the BMD dataset of the Korea National Health and Nutrition Examination Survey (KNHANES) from 2008 to 2011.

METHODS

In total, 37,753 individuals participated in health examination surveys between 2008 and 2011. A total of 3383 males aged ≥50 years were eligible. They underwent BMD measurement through dual-energy X-ray absorptiometry (DXA). The fasting plasma glucose and insulin levels of participants were also measured.

RESULTS

Men with prediabetes and diabetes had significantly higher mean BMD at all measured sites than control men did, irrespective of DM status. This was confirmed by multivariable linear regression analyses. DM duration was an important factor affecting BMD. Patients with DM for > 5 years had lower mean BMD in the total hip and femoral neck than those with DM for ≤5 years. Per multivariable linear regression analyses, patients with DM for > 5 years had significantly lower mean BMD at the femoral neck than those with DM ≤5 years.

CONCLUSIONS

DM duration was significantly associated with reduced femoral neck BMD.

Association of Salivary Microbiota with Dental Caries Incidence with Dentine Involvement after 4 Years

Salivary microbiota alterations can correlate with dental caries development in children, and mechanisms mediating this association need to be studied in further detail. Our study explored salivary microbiota shifts in children and their association with the incidence of dental caries with dentine involvement. Salivary samples were collected from children with caries and their subsequently matched caries-free controls before and after caries development. The microbiota was analyzed by 16S rRNA gene-based high-throughput sequencing. The salivary microbiota was more diverse in caries-free subjects than in those with dental caries with dentine involvement (DC). Although both groups exhibited similar shifts in microbiota composition, an association with caries was found by function prediction. Analysis of potential microbiome functions revealed that Granulicatella, Streptococcus, Bulleidia, and Staphylococcus in the DC group could be associated with the bacterial invasion of epithelial cells, phosphotransferase system, and _D-alanine metabolism, whereas Neisseria, Lautropia, and Leptotrichia in caries-free subjects could be associated with bacterial motility protein genes, linoleic acid metabolism, and flavonoid biosynthesis, suggesting that functional differences in the salivary microbiota may be associated with caries formation. These results expand the current understanding of the functional significance of the salivary microbiome in caries development, and may facilitate the identification of novel biomarkers and treatment targets.

Mobile health, physical activity, and obesity: Subanalysis of a randomized controlled trial

BACKGROUND

Recent studies on physical activity were analyzed by randomizing participants into either the intervention or control group. It is necessary to classify each intervention and control groups according to physical activity using the International Physical Activity Questionnaire (IPAQ).

METHODS

This was a pilot project for SmartCare Services. The intervention group received obesity management services using a smartphone for 24 weeks, while the control group did not receive the interventions. Six anthropometric indices were analyzed: weight, body mass index (BMI), waist circumference, body fat, systolic blood pressure (SBP), and diastolic blood pressure (DBP). Five laboratory tests, including fasting blood sugar (FBS), glycosylated hemoglobin (HbA1c), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), and triglycerides (TGs), were also assessed. The final 324 participants were categorized using the IPAQ questionnaire, and anthropometric indices and laboratory tests were analyzed for within-group and between-group changes from baseline to final visit.

RESULTS

Statistically significant decreases in the intervention group compared with the control group were observed in terms of insufficient activity (IA) (-1.6 ± 3.03 vs -0.1 ± 1.94 kg) and moderate activity (MA) (-2.5 ± 3.81 vs -0.3 ± 2.24 kg) for weight, IA (-0.7 ± 1.14 vs -0.2 ± 0.93 kg/m) and MA (-0.9 ± 1.30 vs -0.2 ± 0.86 kg/m) for BMI, and health-enhancing physical activity (HEPA) (-1.6 ± 3.69% vs -0.1 ± 3.15%) for body fat. For HbA1c, HEPA in the intervention group showed significant decreases (-0.2 ± 0.67 vs 0.0 ± 0.34 mg/dL) compared with the control group.

CONCLUSION

Anthropometric indices and laboratory test results were improved in the smartphone-based intervention group. Especially, improvement of metabolic components in the group with more active physical activity was remarkable.

Cut-Off Values for Visceral Fat Area Identifying Korean Adults at Risk for Metabolic Syndrome

Background

Cut-off values for visceral fat area (VFA) measured by computed tomography (CT) for identifying individuals at risk of metabolic syndrome (MetS) have not been clearly established in Korean adults, particularly for large populations. We aimed to identify optimal VFA and waist circumference (WC) cut-off values and compare the ability of VFA and WC to predict the presence of ≥2 metabolic risk factors.

Methods

We included 36,783 subjects aged 19–79 years undergoing abdominal fat CT during regular health checkups between January 2007 and February 2015 in Seoul. The risk factors for MetS except WC were based on the International Diabetes Federation criteria. Receiver operating characteristic curve analyses were used to determine the appropriate VFA and WC cut-off values for MetS.

Results

VFA was a more significant predictor of metabolic risk factors than WC and body mass index (BMI). The optimal cut-off values for VFA and WC were 134.6 cm² and 88 cm for men and 91.1 cm² and 81 cm for women, respectively. We estimated age-specific cut-off values for VFA, WC, and BMI. VFA cut-off values increased with age, particularly among women.

Conclusion

This large population study proposed the cut-off values for VFA and WC for identifying subjects at risk of MetS among Korean adults. For more accurate diagnosis, different age-specific cut-off values for VFA and WC may be considered.

A randomized, double-blind, placebo-controlled trial investigating cholesterol-lowering effects and safety of yellow yeast rice in adults with mild to moderate hypercholesterolemia: A study protocol

BACKGROUND

Elevated levels of blood lipids are well-documented risk factors for cardiovascular disease. For cardiovascular risk reduction, preventive strategies to lower blood cholesterol levels are essential, and these strategies include lifestyle modification and cholesterol-lowering agents. We aim to investigate the cholesterol-lowering effects and safety of yellow yeast rice in a randomized, controlled, double-blind, and parallel group study.

METHODS

Participants for this study will be selected based on the following inclusion criteria:Participants are randomly allocated to the placebo or yellow-yeast-rice-treated group. Participants with mild to moderately elevated LDL-C levels will consume 1 pouch of yellow yeast rice powder (containing monacolin K) or placebo twice daily for 8 weeks. Next, the lipid profiles will be evaluated.

RESULTS

The number of participants required for this study is 68, and is currently recruiting participants. Participants are randomly assigned to control group and intervention group.

CONCLUSION

This is the first human intervention study to investigate the cholesterol-lowering effects and safety of yellow yeast rice in adults with mild to moderate hypercholesterolemia. Also, this is a randomized, double-blind, placebo-controlled trial that considers confounders, such as dietary habits, lifestyle factors, and genetic factors.