• Clinical Nutrition Research
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• v.12 no.2
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• pp.138-153
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• 2023

The prevalence of metabolic syndrome (MetS) and its cost are increasing due to lifestyle changes and aging. This study aimed to develop a deep neural network model for prediction and classification of MetS according to nutrient intake and other MetS-related factors. This study included 17,848 individuals aged 40-69 years from the Korea National Health and Nutrition Examination Survey (2013-2018). We set MetS (3-5 risk factors present) as the dependent variable and 52 MetS-related factors and nutrient intake variables as independent variables in a regression analysis. The analysis compared and analyzed model accuracy, precision and recall by conventional logistic regression, machine learning-based logistic regression and deep learning. The accuracy of train data was 81.2089, and the accuracy of test data was 81.1485 in a MetS classification and prediction model developed in this study. These accuracies were higher than those obtained by conventional logistic regression or machine learning-based logistic regression. Precision, recall, and F1-score also showed the high accuracy in the deep learning model. Blood alanine aminotransferase (β = 12.2035) level showed the highest regression coefficient followed by blood aspartate aminotransferase (β = 11.771) level, waist circumference (β = 10.8555), body mass index (β = 10.3842), and blood glycated hemoglobin (β = 10.1802) level. Fats (cholesterol [β = -2.0545] and saturated fatty acid [β = -2.0483]) showed high regression coefficients among nutrient intakes. The deep learning model for classification and prediction on MetS showed a higher accuracy than conventional logistic regression or machine learning-based logistic regression.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.4
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• pp.2704-2712
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• 2015

This study was the secondary analysis using the Korea National Health and Nutrition Examination Survey of 2012 and purpose was to investigate the effects of menopause on the metabolic syndrome(MetS) in Korean women. In raw data, total 2,746 women aged ${\geq}19$ years and provided the correct data about menstruation and menopause were analysed. The results were as follows: First, components of MetS were significantly different according to menopausal status. Second, the prevalence of MetS was 13.2% in premenopausal women and 42.7% in postmenopausal women. Third, the Odds ratio of postmenopausal women was 4.88(95% CI=3.888-6.126) compared with premenopausal women for MetS. As 5 years from 40 years increased, the Odds ratios of postmenopausal women were 3.15(95% Confidence Interval=1.862-5.331), 4.159(2.558-6.761), 5.971(3.955-9.016), 9.52(6.591-13.749) compared with premenopausal women for MetS, respectively. Based on the results, the intervention should be developed and provided for preventing and managing the MetS in postmenopausal women.

• Genomics & Informatics
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• v.16 no.4
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• pp.31.1-31.7
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• 2018

The prevalence of metabolic syndrome (MS) in the nonobese population is not low. However, the identification and risk mitigation of MS are not easy in this population. We aimed to develop an MS prediction model using genetic and clinical factors of nonobese Koreans through machine learning methods. A prediction model for MS was designed for a nonobese population using clinical and genetic polymorphism information with five machine learning algorithms, including naïve Bayes classification (NB). The analysis was performed in two stages (training and test sets). Model A was designed with only clinical information (age, sex, body mass index, smoking status, alcohol consumption status, and exercise status), and for model B, genetic information (for 10 polymorphisms) was added to model A. Of the 7,502 nonobese participants, 647 (8.6%) had MS. In the test set analysis, for the maximum sensitivity criterion, NB showed the highest sensitivity: 0.38 for model A and 0.42 for model B. The specificity of NB was 0.79 for model A and 0.80 for model B. In a comparison of the performances of models A and B by NB, model B (area under the receiver operating characteristic curve [AUC] = 0.69, clinical and genetic information input) showed better performance than model A (AUC = 0.65, clinical information only input). We designed a prediction model for MS in a nonobese population using clinical and genetic information. With this model, we might convince nonobese MS individuals to undergo health checks and adopt behaviors associated with a preventive lifestyle.

• Journal of Interdisciplinary Genomics
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• v.4 no.2
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• pp.24-30
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• 2022

Klinefelter's syndrome (KS) is a syndrome with extra X chromosome(s), in XY individuals, characterized by gynecomastia, small testes, and infertility. Additional X chromosomes can be present as variable karyotypic forms, including mosaicism (47,XXY/46,XY). The reported prevalence of KS ranges from one in 500 to one in 1,000 live males, but is probably underestimated. The classic phenotype is small, firm testes and infertility resulting from seminiferous tubule dysgenesis and androgen deficiency. The spectrum of KS includes tall stature with relatively long legs and arm span, decreased body hair, learning disabilities, behavioral problems, poor motor skills, and other important medical issues, such as metabolic syndrome, diabetes, autoimmune diseases, cardiovascular disease, certain neoplasia. The increased risk of certain medical problems in KS can be attributed to a direct effect of the extra X chromosome, the combined action of multiple genomic and epigenetic factors, or the hormonal imbalances. Typically, chromosome analysis is not ordered for adult patients with general medical conditions, except for suspected cases of hematologic and lymphoid disorders. Even though it was found during work-up for certain disorders in adult patient, most physicians do not suspect KS or consider its impact. Therefore, understanding the pathophysiology and variable manifestation in KS is necessary, and discussions with multidisciplinary teams will help to diagnose and treat males with KS.

• Nutrition Research and Practice
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• v.7 no.6
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• pp.495-502
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• 2013

Recent studies suggest that vitamin D deficiency and cardiometabolic disorders are becoming increasingly more prevalent across multiple populations. However, there is a lack of comprehensive data for Korean adults. We investigated the vitamin D status, the prevalence of vitamin D deficiency and its association with metabolic syndrome (MS) risk in Korean adults aged 20 years or older. The study subjects (n = 18,305) were individuals who participated in the Korean National Health Examination and Nutrition Survey (KNHANES) in 2008-2010. Vitamin D status (25-hydroxyvitamin D [25(OH)D]) was categorized as < 20, 21-29, and ${\geq}$ 30 ng/mL, which are the cut-off points for deficiency, insufficiency and normal limits. A wide variety of cardiometabolic risk factors were compared according to the vitamin D status. Vitamin D deficiency was found in 53.9% of men and 70.5% of women. Mean BMI, systolic BP, HbA1c and low density lipoprotein cholesterol (LDL-C) were highest in the vitamin D deficiency group in both genders. Further, the MS was most prevalent in the vitamin D deficiency group in both genders (12.3%, P = 0.002 in men and 9.2%, P < 0.001 in women). Compared to the vitamin D normal group, the adjusted odds ratio (ORs) (95% confidence interval [95% CI]) for MS in the vitamin D deficiency group were 1.46 (1.05-2.02) in men and 1.60 (1.21-2.11) in women, after adjusting for confounding variables. In conclusion, Vitamin D deficiency is a very common health problem in Korean adults and is independently associated with the increasing risk of MS.

• Journal of radiological science and technology
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• v.38 no.3
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• pp.267-276
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• 2015

The gallbladder(GB) polyps have malignant potential and nowadays are increasing due to the extended use of ultrasonography. Even though there are various reports on the risk of GB polyps, there is few study on the relationship between the presence of metabolic syndrome including serum biochemistry, lifestyle and the development of gallbladder polyps in korean population. The aim of this study is to establish a relationship between the presence of metabolic syndrome including serum biochemistry and the development of gallbladder polyps in korean population. This study conducted on 151 men and 167 women who visited a musculoskeletal hospital in Gyeonggido to have an ultrasound scan of the abdomen from November 2, 2012 to January 31, 2014. They are randomly selected to evaluate the prevalence risk factors were analyzed by comparing various variables between the GB polyp positive and negative. The collected data were analyzed using the personal computer program SPSS version 20.0 for windows. The mean size of the GB polyps was 3.92mm in diameter. Size of GB polyps were less than 10mm in diameter. As to frequency in the people with the GB polyps, the number of patients with the GB polyps was 184(57.9%): the number of metabolic syndrome of them was 114(26.4%); these results showed that risk of the GB polyps got higher at patients with metabolic syndrome. As to the risk of the GB polyps, people with the GB polyps had significantly higher risk than those without the GB polyps, as follows: The risk was significantly 1.061 times higher by weight; 1.186 by BMI; 1.060 by systolic blood pressure; 1.030 by diastolic blood pressure; 1,009 by Total cholesterol; 2.736 by metabolic syndrome; 1.011 by blood sugar on an empty stomach; 1.064 by ESR. The risk factors of GB polyps were found to be weight, BMI, total cholesterol, Triglycerol, Glucose, systolic blood pressure, diastolic blood pressure, ESR and metabolic syndrome. This study has a possibility to be used an indicator to identify the GB polyps, and in the future larger-scale study will have to be conducted to objectify it.

• Journal of Korean Ophthalmic Optics Society
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• v.17 no.2
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• pp.241-247
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• 2012

Purpose: This study was conducted to assess the association of metabolic syndrome and its components with glaucoma. Methods: We investigated the associations of metabolic syndrome and its components (abdominal obesity, impaired fasting glucose, high blood pressure, and dyslipidemia) with glaucoma using data from 19,162 adults aged 40 or above among the Korean National Health and Nutrition Examination Survey III (2005), IV (2007-9), V (2010). The logistic regression analysis was used for assessing those associations after adjusting demographic, lifestyle, and social economic status and for assessing the association of metabolic medication intakes with glaucoma risks. Results: After adjusting for age and sex, the risk of glaucoma was significantly higher in the subjects with impaired fasting glucose(Odds Ratio (95% confidence interval): 1.78 (1.25, 2.53)) and metabolic syndrome (1.45 (1.01, 2.08)) than subjects without those. These associations increased when additional adjusting for smoking, alcohol use, regular physical activity, income, education status(impaired fasting glucose: 1.89 (1.29, 2.77), metabolic syndrome: 1.52 (1.03, 2.25)). Glaucoma prevalence was borderline significantly increased according to the number of metabolic abnormalities(age and sex adjusted p for trend = 0.055). Use of antihypertensive medication was significantly associated with the risk of glaucoma. Conclusions: Metabolic syndrome and impaired fasting glucose were significantly associated with the increased glaucoma risk. Use of antihypertensive medication was also significantly associated with the increased glaucoma risk.

• Archives of Obesity and Metabolism
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• v.2 no.2
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• pp.64-70
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• 2023

Obesity is a complex multifactorial disease that is associated with various complications, including cardiovascular diseases. The prevalence of obesity among young adult males has increased, and this has increased the prevalence of several comorbidities. This trend was closely linked to lifestyle factors, including heavy drinking, smoking cigarettes, and an imbalanced diet. This emphasized the necessity of lifestyle improvements for effective obesity management. In this case, the comprehensive lifestyle changes and adjuvant medication resulted in weight loss and improvement in several comorbid conditions in a young adult male. The case highlighted the importance of a comprehensive approach to managing obesity. Furthermore, it emphasized the importance of a healthy lifestyle in addressing obesity and its complications.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.16 no.1
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• pp.22-27
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• 2013

The prevalence of obesity is increasing worldwide. Obesity can cause hyperlipidemia, hypertension, cardiovascular diseases, metabolic syndrome and non-alcoholic fatty liver disease (NAFLD). Many environmental or genetic factors have been suggested to contribute to the development of obesity, but there is no satisfactory explanation for its increased prevalence. This review discusses the latest updates on the role of the gut microbiota in obesity and NAFLD.

• Sleep Medicine and Psychophysiology
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• v.17 no.1
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• pp.11-15
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• 2010

Obstructive sleep apnea is a common sleep disorder that predominantly affects adult men than women. However, the prevalence in women increases with menopause dramatically. Menopause has long been described as a risk factor for obstructive sleep apnea. Recent large well-designed population studies support that menopause increases the risk for sleep-disordered breathing. The mechanism of that hypothesis is not yet clear. But, the decline in progesterone has been thought to influence the development of obstructive sleep apnea because progesterone is a respiratory stimulant and plays a protective role against sleep apnea. Increased visceral obesity and hypertension as major symptoms of metabolic syndrome are also associated with menopause and place women at increased risk for obstructive sleep apnea and other serious health problem. Hormone replacement therapy has been associated with a lower prevalence of sleep apnea. But, relative risk and benefits of hormone replacement therapy compared with other treatment options will require thorough consideration for each individual woman. Finally, attention should be drawn to the need for obstructive sleep apnea evaluation in perimenopausal and postmenopausal women.