As prevalence of metabolic syndrome has rapidly increased over the past decade, lifestyle changes including dietary habits are considered as a therapeutic cornerstone for metabolic syndrome, cardiovascular complications and type 2 diabetes. We evaluated the effectiveness of a telephone-delivered nutrition education to improve metabolic parameters compared with a single-visit with a dietitian in subjects with metabolic syndrome. A total of seventy-one adults who met diagnostic criteria for the metabolic syndrome were randomly assigned to either the single-visit group or the in-depth nutrition education group during a 3-month intervention study period. The in-depth telephone-delivered nutrition education group had an initial visit with a dietitian and additional two telephone counseling during the first 4 weeks of the study periods. Sixty-six subjects completed a 3-month intervention study. The trial examined participant's anthropometric changes and dietary intakes as well as changes in the metabolic syndrome factors. At the end of the trial, the in-depth nutrition education group showed significantly higher reduction in weight, body fat and abdominal circumference compared with the other group (p < 0.05). In the in-depth nutrition groups, the prevalence of metabolic syndrome was decreased to 45.5%, while 69.7% of the subjects were metabolic syndrome patients in the single-visit group (p < 0.05). These results demonstrate that the telephone-intervention counseling is a feasible mean to deliver dietary intervention in patients with metabolic syndrome.
Adult ; Body Weight ; Counseling ; Education* ; Food Habits ; Humans ; Clinical Trial ; Life Style ; Nutrition Therapy ; Prevalence ; Telephone

Few studies have shown the correlation between metabolic syndrome and bone mineral density (BMD). The main pathogenic mechanisms of metabolic syndrome rely on chronic low-level inflammatory status and oxidative stress. There are few studies that examine the gender-specific effects of inflammation and antioxidants on BMD. In this study, we evaluated the relative contribution of these factors in patients with metabolic syndrome. We conducted a cross-sectional study of 67 men and 46 postmenopausal women with metabolic syndrome; metabolic syndrome was defined as having three or more metabolic syndrome risk factors. BMD, body fat mass, and lean body mass were evaluated. We also examined the levels of high sensitive C-reactive protein (hs-CRP), interleukin-6 (IL-6), adiponectin, vitamin E, and C in serum. Log-transformed hs-CRP levels were significantly higher in lumbar spine osteoporotic subjects than in normal subjects for women but not for men. There was no significant difference between the normal group and the osteoporotic group in other inflammatory markers. Stepwise regression analyses for BMD of the lumbar spine showed that lean body mass and vitamin E were significant determinants in men. Lean body mass and log-transformed hs-CRP were significant determinants in women Analysis for BMD of the femoral neck showed that lean body mass was a significant determinant for both men and women. There was no significant factor among the inflammatory markers or antioxidant vitamins affecting the femoral neck BMD for either gender. In conclusion, while hs-CRP is an independent predictor of the BMD of the lumbar spine in women, vitamin E showed profound effects on BMD in men but not women with metabolic syndrome.
Adiponectin ; Adipose Tissue ; Antioxidants ; Biomarkers ; Bone Density ; C-Reactive Protein ; Cross-Sectional Studies ; Female ; Femur Neck ; Humans ; Inflammation ; Interleukin-6 ; Male ; Oxidative Stress ; Risk Factors ; Spine ; Vitamin E ; Vitamins

Elevated serum concentration of inflammation markers is known as an independent risk factor of metabolic syndrome (MS) and dietary intake is an important factor to control MS. The purpose of this study was to investigated the hypothesis that inflammatory indices are associated with dietary intake and diet quality index-international (DQI-I) in subjects with MS. A cross-sectional study was conducted on 156 men and 73 postmenopausal women with MS, defined by three or more risk factors of the modified Adult Treatment Panel III criteria. Serum levels of high sensitive C-reactive protein (hs-CRP), adiponectin were examined and nutrients intake and DQI-I were assessed using a semi-quantitative food frequency questionnaire. The total DQI-I score was significantly higher in female subjects (65.87 +/- 9.86) than in male subjects (62.60 +/- 8.95). There was a positive association between hs-CRP and polyunsaturated fatty acid intake (p < 0.05) and a negative association between adiponectin and lipid (p < 0.05), total sugar (p < 0.01), and total fatty acids (p < 0.05). When the subjects were divided into 5 groups by quintile according to serum adiponectin and hs-CRP level, there was no association between DQI-I score and hs-CRP levels. Moderation score of DQI-I was significantly higher in highest quintile group than the lower quintile groups. Therefore, our results provide some evidence that dietary intake and diet quality are associated with inflammation markers and dietary modification might be a predictor to decrease risk for metabolic syndrome complications. However further research is needed to develop the dietary quality index reflecting the inflammatory change by considering the dietary habit and pattern of Koreans.
Adiponectin ; Adult ; C-Reactive Protein ; Cross-Sectional Studies ; Diet ; Fatty Acids ; Female ; Food Habits ; Humans ; Inflammation ; Male ; Surveys and Questionnaires ; Risk Factors

Objectives: The purpose of this study was to explore new ways of creating value in the medical field and to derive recommendations for the role of medical institutions and the government. Methods: In this paper, based on expert discussion, we classified Internet of Things (IoT) technologies into four categories according to the type of information they collect (location, environmental parameters, energy consumption, and biometrics), and investigated examples of application. Results: Biometric IoT diagnoses diseases accurately and offers appropriate and effective treatment. Environmental parameter measurement plays an important role in accurately identifying and controlling environmental factors that could be harmful to patients. The use of energy measurement and location tracking technology enabled optimal allocation of limited hospital resources and increased the efficiency of energy consumption. The resulting economic value has returned to patients, improving hospitals’ cost-effectiveness. Conclusions Introducing IoT-based technology to clinical sites, including medical institutions, will enhance the quality of medical services, increase patient safety, improve management efficiency, and promote patient-centered medical services. Moreover, the IoT is expected to play an active role in the five major tasks of facility hygiene in medical fields, which are all required to deal with the COVID-19 pandemic: social distancing, contact tracking, bed occupancy control, and air quality management. Ultimately, the IoT is expected to serve as a key element for hospitals to perform their original functions more effectively. Continuing investments, deregulation policies, information protection, and IT standardization activities should be carried out more actively for the IoT to fulfill its expectations.

BACKGROUND: Graft-versus-host disease (GVHD) is initiated when alloreactive donor T cells are primed by host APCs to undergo clonal expansion and maturation. Since there is a controversy regarding the role of nonhematopoietic cells in GVHD, we wanted to investigate the influence of MHC disparity on nonhematopoietic cells on the pathogenesis of GVHD in the MHC-haplomismatched C57BL/6 (H-2(b)) or DBA/2 (H-2(d))-->unirradiated (C57BL/6xDBA/2) F(1)(BDF(1); H-2(b/d)) murine model of acute GVHD (aGVHD) or chronic GVHD (cGVHD). METHODS: We generated (BDF(1)-->C57BL/6), (BDF(1)-->DBA/2), and (BDF(1)-->BDF(1)) chimeras and examined GVHD-related parameters and donor cell engraftment in those chimeras. RESULTS: Using this experimental system, we found that 1) severe aGVHD across MHC Ag barrier depends on the expression of nonhematopoietically rather than hematopoietically derived alloAgs for maximal GVHD manifestations; 2) host APCs were sufficient to break B cell tolerance to self molecules in cGVHD, whereas host APCs were insufficient to induce autoimmunity in aGVHD; 3) donor cell engraftment was greatly enhanced in the host with MHC-matched nonhematopoietic cells. CONCLUSION: Taken together, our results provide an insight into how MHC disparity on GVHD target organs contribute to the pathogenesis of GVHD.
Autoimmunity ; Chimera ; Graft vs Host Disease ; Humans ; Immune Tolerance ; T-Lymphocytes ; Tissue Donors

Background: This study aimed to explore the relationship between fruit intake, changes in fruit intake, and changes in cardiometabolic factors in people with obesity. Methods: A total of 21,270 subjects (8,718 men, 12,552 women) aged 40 years and over, from the Korean-based Genome and Epidemiology Study, were followed up for an average of 4.4 years. Fruit intake was assessed using a food frequency questionnaire at baseline and the second follow-up. The beta coefficient and confidence intervals for changes in cardiometabolic risk factors according to fruit consumption were calculated using a linear regression model. Results: In men, the abdominal circumference decreased with changes in fruit intake (P=0.029). Fruit intake and increased fruit intake in men were associated with a lower systolic blood pressure (P=0.012 and P=0.02, respectively) and lower triglyceride levels (P=0.002 and P<0.001, respectively). In women, abdominal circumference decreased with both fruit intake and increased fruit intake (P<0.001 and P=0.013, respectively). Systolic blood pressure and triglycerides tended to decrease only with fruit intake (P=0.048 and P<0.001, respectively). Unlike in men, fasting blood glucose tended to decrease in women with both fruit intake and increased fruit intake (P=0.011 and P=0.005, respectively). Conclusion Fruit intake and increased fruit intake may have beneficial effects on cardiometabolic risk factors among individuals who are obese.

Background: This study aimed to explore the relationship between fruit intake, changes in fruit intake, and changes in cardiometabolic factors in people with obesity. Methods: A total of 21,270 subjects (8,718 men, 12,552 women) aged 40 years and over, from the Korean-based Genome and Epidemiology Study, were followed up for an average of 4.4 years. Fruit intake was assessed using a food frequency questionnaire at baseline and the second follow-up. The beta coefficient and confidence intervals for changes in cardiometabolic risk factors according to fruit consumption were calculated using a linear regression model. Results: In men, the abdominal circumference decreased with changes in fruit intake (P=0.029). Fruit intake and increased fruit intake in men were associated with a lower systolic blood pressure (P=0.012 and P=0.02, respectively) and lower triglyceride levels (P=0.002 and P<0.001, respectively). In women, abdominal circumference decreased with both fruit intake and increased fruit intake (P<0.001 and P=0.013, respectively). Systolic blood pressure and triglycerides tended to decrease only with fruit intake (P=0.048 and P<0.001, respectively). Unlike in men, fasting blood glucose tended to decrease in women with both fruit intake and increased fruit intake (P=0.011 and P=0.005, respectively). Conclusion Fruit intake and increased fruit intake may have beneficial effects on cardiometabolic risk factors among individuals who are obese.

PURPOSE: This study was implemented to develop and validate the semi-quantitative food frequency questionnaire (SQ-FFQ) to assess energy, carbohydrates, fat, protein, minerals, and vitamins as well as fatty acids and alcohol in Korean adults. METHODS: The SQ-FFQ consisted of 88 food items, and 12 food groups were selected based on information of frequently consumed foods from the Korean Health and Nutrition Examination survey. Each portion size was categorized as one of three amounts: small (0.5 times), medium (1 time), and large (1.5 times). A total of 111 subjects finished 3-day diet records and the SQ-FFQ. The relative validity of SQ-FFQ was assessed by comparison with the 3-day diet records. RESULTS: The mean nutrient intakes obtained from the SQ-FFQ were estimated to be greater than those of the two 3-day dietary records. Spearman's correlation coefficient between the two methods was the highest for energy (r = 0.583; p < 0.001) and lowest for saturated fatty acid (r = 0.121). Correlation coefficients were energy (r = 0.583; p < 0.001), carbohydrates (r = 0.500; p < 0.001), protein (r = 0.466; p < 0.001), fat (r = 0.411; p < 0.001), dietary fiber (r = 0.467; p < 0.001), alcohol (r = 0.527; p < 0.001), calcium (r = 0.409; p < 0.001), phosphorus (r = 0.499; p < 0.001), potassium (r = 0.418; p < 0.001), magnesium (r = 0.427; p < 0.001), and zinc (r = 0.464; p < 0.001), respectively, for all subjects. CONCLUSION: The developed SQ-FFQ in this study seems to be useful for estimating nutritional status, particularly energy, carbohydrates, protein, fat, dietary fiber, alcohol, calcium, phosphorus, potassium, magnesium, and zinc of Korean adults.
Adult ; Calcium ; Carbohydrates ; Diet Records ; Dietary Fats ; Dietary Fiber ; Fatty Acids ; Humans ; Magnesium ; Minerals ; Miners ; Nutritional Status ; Phosphorus ; Portion Size ; Potassium ; Vitamins ; Zinc

BACKGROUND: There have been many efforts to rectify lifestyles that contribute to obesity using a variety of methodologies in heterogeneous settings, but effective and sustainable interventions that are suitable for children are still needed. We developed a smartphone application called "HAPPY ME" for guiding health behavior decisions, which employs gamification and self-monitoring strategies. The aim of this paper is to outline the rationale and methods for the development and feasibility test of "HAPPY ME". METHODS: The study consisted of two phases: 1) description of theory-based conceptual framework and rationales for smartphone application development and 2) outline of a pre- and post-test design in 4th-6th grade of healthy elementary school students for 4 weeks. The students will be delivered missions or messages on a daily basis, which is to stretch the knowledge and skills for action. They will simultaneously be engaged in self-monitoring their eating and physical activities to clear daily quests. To measure acceptability and feasibility we will monitor usability, compliance, and satisfaction for a 4-week study period and evaluate the intervention effects on self-efficacy, readiness, and intention to engage in healthy behavior. CONCLUSIONS: The results of the feasibility study will show whether the smartphone application "HAPPY ME" for children is acceptable, as well as if it is usable and feasible for self-directed health management. The results will provide preliminary evidence of the effectiveness of smartphone application-supported child behavioral modification for child obesity prevention and management.
Child Behavior ; Child* ; Compliance ; Eating ; Feasibility Studies ; Health Behavior ; Humans ; Intention ; Life Style ; Missions and Missionaries ; Motor Activity ; Obesity ; Pediatric Obesity* ; Smartphone

Objective: This study aimed to use deep learning (DL) to develop a cost-effective and accessible screening tool to improve the detection of cognitive decline, a precursor of Alzheimer’s disease (AD). This study integrating a comprehensive battery of neuropsychological tests adjusted for individual demographic variables such as age, sex, and education level. Methods: A total of 2,863 subjects with subjective cognitive complaints who underwent a comprehensive neuropsychological assessment were included. A random forest classifier was used to discern the most predictive test combinations to distinguish between dementia and nondementia cases. The model was trained and validated on this dataset, focusing on feature importance to determine the cognitive tests that were most indicative of decline. Results: Subjects had a mean age of 72.68 years and an average education level of 7.62 years. The DL model achieved an accuracy of 82.42% and an area under the curve of 0.816, effectively classifying dementia. Feature importance analysis identified significant tests across cognitive domains: attention was gauged by the Trail Making Test Part B, language by the Boston Naming Test, memory by the Rey Complex Figure Test delayed recall, visuospatial skills by the Rey Complex Figure Test copy score, and frontal function by the Stroop Test Word reading time. Conclusion This study showed the potential of DL to improve AD diagnostics, suggesting that a wide range of cognitive assessments could yield a more accurate diagnosis than traditional methods. This research establishes a foundation for future broader studies, which could substantiate the approach and further refine the screening tool.