• Korean Journal of Clinical Laboratory Science
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• v.52 no.4
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• pp.327-334
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• 2020

The present study was conducted to assess the relationship between metabolic syndrome, metabolic syndrome score, homeostasis model assessment of insulin resistance (HOMA-IR), and beta-cell function (HOMA-B) in obese Korean adults. The study included 1,860 adults aged 20 years or older from the 2010 Korean National Health and Nutrition Examination Survey (KNHANES) data. Metabolic syndrome and metabolic syndrome score (MSS) were positively associated with HOMA-IR (both P<0.001). HOMA-B levels of elevated blood pressure (P<0.001) and elevated fasting blood glucose group (P<0.001) were significantly lower than the normal group. However, the HOMA-B levels of abdominal obesity (P=0.003) and reduced high-density lipoprotein cholesterol group (P=0.030) were significantly higher than the normal group. Nevertheless, metabolic syndrome (P<0.001) and MSS (P<0.001) were inversely associated with the HOMA-B levels. In conclusion, metabolic syndrome and MSS were positively associated with insulin resistance and inversely associated with beta-cell function in Korean adults with obesity.

• Biomedical Science Letters
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• v.29 no.4
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• pp.355-362
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• 2023

This study aimed to determine whether smoking affects the metabolic syndrome and its components through long-term follow-up. Of the 10,030 cohort subjects in the community-based Korean Genome and Epidemiology Study (KoGES) from 2001 to 2018, 2,848 people with metabolic syndrome and 4,854 people with insufficient data for analysis were excluded for this study. The study population comprised 2,328 individuals (1,123 men, 1,205 women) who were eligible for inclusion. The mean age of the participants was 49.2±7.5 years, and 21.9% were current smoker. In log rank test, current smoker had a significantly higher cumulative incidence of metabolic syndrome compared with non smoker (P<0.001). In the Cox proportional hazards model adjusted for key variables, metabolic syndrome (hazard ratio [HR] 1.57, P<0.001), high fasting glucose (HR 1.40, P<0.01), hypertriglyceridemia (HR 1.60, P<0.001), low HDL-cholesterol (HR, 1.30, P<0.01), and abdominal obesity (HR 1.32, P<0.01) in current smoker compared with non smoker were statistically significant, respectively, but not hypertension (HR 1.00, P>0.05). After adjustment for confounders, the time (P-time<0.001) and group (P-group<0.001) effects on metabolic syndrome score change were statistically significant. Furthermore, the interaction analysis of time and smoking group on the change in metabolic syndrome score was statistically significant (P-interaction<0.001). In long-term follow-up, smoking worsens metabolic syndrome.

• Korean Journal of Adult Nursing
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• v.26 no.5
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• pp.533-542
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• 2014

Purpose: The purpose of this study was to understand the risk of falling associated with postmenopausal women and to identify the relationships between this risk and factors such as lifestyle, metabolic syndrome, and bone mineral density. Methods: The sample was 128 postmenopausal women between 50 and 65 from one menopausal clinic in an urban city. The Risk Assessment for Falls Scale II, developed by Glydenvand and Reinboth (1982) and adapted by Park Young-Hye (2003), was modified and used for this study. Results: The average fall-risk score in postmenopausal women was 7.2 out of 33, the fall-risk score associated with lifestyle was higher in women exposed to stress frequently or who favored spicy or salty foods. The fall-risk score associated with metabolic syndrome was higher in groups with HBP or with a waist circumference of 80cm or greater. The fall-risk score in groups with three or more factors of metabolic syndrome was the highest. Conclusion: The risk of fall in post-menopausal women was higher in groups with only elementary education, unemployed, reported two or more chronic diseases or reported frequent exposure to stress and for women who preferred spicy or salty foods or exhibited three or more factors of metabolic syndrome.

• Journal of Physiology & Pathology in Korean Medicine
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• v.27 no.1
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• pp.118-123
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• 2013

This study was performed from April, 2007 to August, 2012 with female patients who were being treated for and suffering from chronic lumbar pain for periods of 6 months and over. The 53 female patients were diagnosed with osteoporosis by having a T-Score of <-2.5 in a bone mineral density(BMD), as well as showing signs of metabolic syndrome. This was deduced by taking measurements of blood pressure, carrying out blood-chemical examinations and physical measurements such as weight, height, waist measurement and body mass index(BMI). After 5 minutes rest, the patient's blood pressure, height and weight were measured. BMI was calculated using the equation BMI = weight (Kg)/height ($m^2$). The patients had their blood taken in a fasted state(more than 12hours), the fasting blood sugar, total cholesterol, triglyceride, HDL-cholesterol were measured. The average BMD and T-score were calculated by measuring BMD(mg/cc) of L1-L3 using QCT. In a correlation analysis of the physical examinations, clinical character of metabolic syndrome and T-score, the result showed that age and T-score had a negative correlation(r=-0.699, p<0.01) as did triglyceride and T-score (r=-0.047, p<0.01), where as weight(r=0.239, p<0.05) and height(r-=0.329, p<0.01) and T-score had a positive correlation. There was no significant correlation with total cholesterol, HDL cholesterol, blood sugar, blood pressure and T-score. This study showed that there are significant correlations with age, weight, height and T-score. But there are no significant correlations with total cholesterol, HDL cholesterol, blood sugar, blood pressure and T-score and that these did not influence bone density. Further research with more subjects is required to determine whether there is a correlation of clinical character of metabolic syndrome and T-score.

• Nutrition Research and Practice
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• v.7 no.2
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• pp.139-145
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• 2013

There is a lack of data on metabolic risk factors during pre-puberty, which is important for identifying the subgroups of youth, at whom early interventions should be targeted. In this study, we evaluated the prevalence of metabolic risk factors and its subsequent relations with dietary patterns in Korean pre-pubertal children through a cross-sectional sample (n = 1,008; boys = 513) of pre-pubertal children (aged 8-9 years) from a sub-study of the Korea Metabolic Syndrome Research Initiatives (KMSRI) in Seoul, Korea. Measures of anthropometry and blood pressure as well as fasting blood samples were used in the analysis. A three-day food records were collected. The metabolic syndrome was defined according to the age-adjusted National Cholesterol Education Program Adult Treatment Panel III guidelines. An added metabolic risk score was calculated for each subject by summing the quintile values of the five individual risk factors. Among the 5 risk components of metabolic syndrome, high waist circumference (WC) was the major factor (P < 0.001). A significant increasing trend of the added metabolic syndrome risk score was observed with the increase of WC (P (trend) < 0.001) among both genders. The cutoff point for high WC for pre-pubertal children was 61.3 cm for boys and 59.9 cm for girls. The prevalence of high triglyceride (TG) values was significantly higher in girls than it was in boys (P < 0.01). Girls in the highest quintile of balanced dietary pattern scores had lower TG values (P (trend) = 0.032) than did those in the lowest quintile. Moreover, girls in the highest quintile of western dietary pattern scores showed increasing trend for the added metabolic risk score (P (trend) = 0.026) compared with those in the lowest quintile. Adverse associations exist between western dietary patterns and the accumulation of metabolic risks among girls, not in boys, even during pre-puberty.

• The Journal of Korean Medicine
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• v.35 no.1
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• pp.124-134
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• 2014

Objectives: Metabolic syndrome is considered a coronary heart disease risk factor and its prevalence rate is increasing in Korea. Because obesity is relevant to metabolic syndrome, we investigated the relationship between metabolic syndrome and the Obesity Pattern Identification Questionnaire in middle-aged health check-up examinees. Methods: This was a cross-sectional study with 125 patients who visited a health promotion center of university hospital from October 2012 to January 2013. We analyzed the association of Obesity Pattern Identification Questionnaire and the diagnostic criteria of metabolic syndrome. Results: Pi deficiency (脾虛), phlegm (痰飮), liver stasis (肝鬱) and food accumulation (食積) pattern showed significantly highs score in the group with hypertriglyceridemia. Also, females demonstrated significantly high scores of liver stasis (肝鬱) and food accumulation (食積) in the group with hypertriglyceridemia. The questions of Pattern Identification that showed especially significant high score in the group of hypertriglyceridemia are as follows: 'Easily get annoyed', 'Usually worried', 'Frequently overeating or bingeing', and 'Having more after getting full'. There are positive correlations between triglyceride and the score of Pi deficiency (脾虛), phlegm (痰飮) and food accumulation (食積) pattern. Conclusions: Obesity Pattern Identification Questionnaire can be used for the management of hypertriglyceridemia in an effort to prevent metabolic syndrome.

• Korean Journal of Community Nutrition
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• v.27 no.4
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• pp.321-340
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• 2022

Objectives: This study established a practical direction for the prevention and management of metabolic syndrome by evaluating the health status, nutrition intake level, and diet quality according to metabolic syndrome and related drug treatment in Korean adults. Methods: The data from the 2017 KNHANES (Korea National Health and Nutrition Examination Survey) was analyzed. The analysis included 2,978 adults, classified into the normal, metabolic syndrome (MetS), metabolic syndrome with medicines (MetS-M), and without medicines (MetS-noM) groups. The nutrient intake, NAR (nutrient adequacy ratio), INQ (index of nutritional quality), and DDS (dietary diversity score) were analyzed. Results: The mean BMI was significantly higher in the MetS group than in the normal group for all subjects. Subjects of the MetS group tended to consume less energy and major nutrients, while males aged 50 ~ 64 and all females showed less intake of nutrients in the MetS-M group. The energy intake ratio was within 55 ~ 65 : 7~ 20 : 15 ~ 30 of KDRI (Korean Dietary Recommended Intake), but the carbohydrate energy ratio of all subjects aged 50 to 64 was over 65%. The NAR of the major nutrients was lower in the MetS-M group, the average INQ was around 0.8, especially the INQ of calcium and vitamin A was less than 1, and the total DDS score was less than 4 points. Conclusions: This study confirmed that the nutrient intake and diet quality differed among subjects diagnosed with metabolic syndrome and managed with medical care. The intakes of energy and many nutrients, the quality of diets, and the diversity of food groups in the MetS-M group were lower than in the normal group. Therefore, these will be an important basis for establishing a specific direction of diet education for preventing and managing metabolic syndrome according to gender, age, metabolic syndrome, and drug treatment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.9
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• pp.5660-5667
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• 2014

The aim of this study was to assess the association of metabolic syndrome, metabolic syndrome score (MSS) and pulse pressure (PP) in Korean adults. The study subjects were Korean adults 20 years or older (n=5,889) who participated in the Korea National Health and Nutrition Examination Survey 2012. After adjusting for factors, such as year and gender and BMI, the mean PP increased with increasing MSS (MSS 0, $41.30{\pm}0.34mmHg$ and MSS 1, $42.16{\pm}0.31mmHg$ and MSS 2, $44.73{\pm}0.34mmHg$ and MSS, 3, $46.46{\pm}0.42mmHg$ and MSS 4, $48.62{\pm}0.58mmHg$ and MSS 5, $53.50{\pm}1.05mmHg$), and the mean PP for metabolic syndrome($47.25{\pm}0.34mmHg$) increased in comparison to Non-Metabolic syndrome ($42.77{\pm}0.19mmHg$). When logistic regression analysis was performed, the odds ratio (OR) of Hyper-PP (61> PP) for MSS 0 was 4.49 in MSS 1 (95% confidence interval[CI], 2.68-7.57) and 8.01 in MSS 2 (95% CI, 4.77-13.47) and 11.37 in MSS 3 (95% CI, 6.67-19.35) and 19.69 in MSS 4 (95% CI, 11.20-34.60) and 34.07 in MSS 5 (95% CI, 17.44-66.52), metabolic syndrome was associated with an increased Hyper-PP(OR 4.6, 95% CI, 2.0-10.4). Conclusion. These results suggest that an increase in MSS or metabolic syndrome might increase the pulse pressure.

• Korean Journal of Clinical Laboratory Science
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• v.47 no.4
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• pp.318-323
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• 2015

The aim of this study was to assess the association of metabolic syndrome and Vitamin D in Korean adults. The study subjects were Korean menopausal woman (n=4,340) who participated in the Korea National Health and Nutrition Examination Survey 2010~2012. After adjusting for factors such as age, body mass index, total cholesterol, smoking, and regular exercise, the mean 25(OH)D levels ($M{\pm}SE$) decreased with increasing metabolic syndrome score (MSS) (MSS 0, $18.18{\pm}0.29ng/Ml$; MSS 1, $18.09{\pm}0.21ng/mL$; MSS 2, $18.07{\pm}0.19ng/mL$; MSS 3, $18.04{\pm}0.21ng/mL$; MSS ${\geq}4$, $17.27{\pm}0.23ng/mL$), and the mean 25(OH)D level ($M{\pm}SE$) for metabolic syndrome ($17.66{\pm}0.16ng/mL$) decreased in comparison to non-metabolic syndrome ($18.11{\pm}0.14ng/mL$). In conclusion, our results suggest that an increase in metabolic syndrome score or metabolic syndrome are inversely associated with the vitamin D levels.

• Journal of Korean Medicine Rehabilitation
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• v.24 no.1
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• pp.101-109
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• 2014

Objectives The relationship between metabolic syndrome causes and bone mineral density (BMD) was explored by taking 60 female chronic low back pain patients with age 61 years old or elder having metabolic syndrome and osteoporosis as study subjects. Methods Fasting blood glucose, serum total-cholesterol, triglyceride and HDL were measured by biochemical tests. Anthropometric elements and blood pressure were measured. Results Average BMD and T-score of part number 1 to 3 of lumbar vertebra were estimated by Quantitative Computed Tomography (QCT). In order to find the relationship between clinical factors and osteoporosis, correlation analysis was done on T-score. Age (r=0.679, p<0.01) had significant negative correlation and weight (r=0.342, p<0.01) and height (r=0.475, p<0.01) had significant positive correlation. Blood glucose, blood pressure, total cholesterol, triglyceride, HDL and body mass index did not have significant correlation. BMD had negative correlation with age (r=0.317, p<0.05). Regression analysis was done by taking T-score as independent variables and taking other factors as dependent variables. It was possible to know that age ($\beta$=-0.471, t=-7.050) with p<0.001, height ($\beta$=0.277, t=4.120) and weight ($\beta$=2.856, t=2.780) with p<0.05 have significant impact on osteoporosis. Conclusions Therefore, it was possible to know that T-score and BMD decrease as one gets older and T-score and BMD increase as one is taller and heavier.