• Biomedical Science Letters
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• v.23 no.2
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• pp.118-127
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• 2017

Elevated serum uric acid and resting heart rate are risk factors and predictors of metabolic syndrome. However, few studies have examined the optimal cutoff value for serum uric acid and resting heart rate to predict metabolic syndrome in Korean adults. Subjects for this study were 22,302 adults (average age 45 years old), who underwent health screening examination from January 2010 to December 2012 at the Health Promotion Center of one hospital in Gyeonggi-do for general health check-up. The uric acid and resting heart rate cutoff values were calculated by ROC analysis for metabolic syndrome. Elevated serum uric acid and resting heart rate were associated with an increased prevalence of metabolic syndrome in Korean adults. The optimal cutoff value for uric acid level to predict metabolic syndrome in adults was 4.95 mg/dL (male 6.35, female 4.55) and optimal cutoff value for resting heart rate to predict metabolic syndrome was 68 beats per minute (male 66, female 68). However, serum uric acid and resting heart rate were found to have limitations for the diagnosis of metabolic syndrome.

• Biomedical Science Letters
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• v.23 no.2
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• pp.57-63
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• 2017

A new body adiposity index (BAI) has been proposed that is expected to replace body mass index (BMI). We evaluated the correlations between metabolic syndrome risk factors and BAI, BMI, and other adiposity indices, such as waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR), by sex in the Korean population. We also evaluated whether BAI would be useful to diagnose metabolic syndrome. A total of 20,961 Korean adults who underwent health examinations were included in this study. The metabolic syndrome diagnostic criteria used in this study were those set by the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI). In men (12,719), BMI and WHtR were more strongly correlated to metabolic syndrome risk than BAI, and in women (8,242), WHtR showed the strongest association with metabolic syndrome risk. BAI (area under the curve [AUC] = 0.678) presented lower discriminatory capacity than that of BMI (AUC = 0.836) for diagnosing metabolic syndrome. Moreover, BAI underestimated fat levels in men and women when considering the ability to discriminate overweight and obese individuals. In conclusion, WHtR and BMI in men, and WHtR in women may be better candidates than BAI to evaluate metabolic risk factors in Korean adults.

• Journal of Korean society of Dental Hygiene
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• v.13 no.4
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• pp.581-588
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• 2013

Objectives : The aim of the study si to investigate correlation between metabolic syndrome risk factors and oral health status in workers and to propose the integrated and effective management measures. Methods : Subjects were 4,600 workers in industrial company. Data by medical checkup and oral examination were collected from July 13, 2010 to September 12, 2010. Self-reported questionnaire included general characteristics, job description, smoking, drinking, and metabolic syndrome risk factor indicators. Gingivitis, dental calculus and missing tooth tended to have more metabolic syndrome risk factors. Data were analyzed by descriptive statistics, chi-square test, correlation analysis, logistic regression using SPSS version 18.0. Results : Dental caries revealed 1.146 times higher than the control group. Risk group showed the following results; gingivitis was 1.317 times higher in risk group and 1.612 times in metabolic syndrome. Dental calculus was 1.532 times higher in risk group and 1.557 times in metabolic syndrome. Mssing teeth were 1.976 higher in metabolic syndrome. Conclusions : Metabolic syndrome risk factors had close correlation to poor raol health status. It is necessary to establish the effective plan for the oral health in workers.

• Biomedical Science Letters
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• v.17 no.4
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• pp.321-328
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• 2011

This study divided a group of healthy adults aged 20 or older who had a health examination at J General Hospital in Gyeonggi Province into three groups according to the degrees of metabolic syndrome risk factors. They include the normal group (n=58), the pre-metabolic syndrome group (n=112) and the metabolic syndrome group (n=32). They were compared in exercise capacity and cardiac structure and function and impacts of exercise capacity on the cardiac diastolic function. All the groups took echocardiography to have their cardiac structures and functions examined and an exercise stress test to have their exercise capacity measured. The research findings were as follows: There were differences in exercise capacity, cardiac structure, and diastolic heart function among three groups. Between exercise capacity and diastolic heart function was found to be related. It turned out exercise capacity affected the cardiac diastolic functions. In conclusion, there were significant differences in exercise capacity between the normal group and the metabolic syndrome group and in the cardiac structure and function among the normal, metabolic syndrome, and pre-metabolic syndrome group. In addition, METs (metabolic equivalents) and heart rate recovery of exercise capacity turned out to affect cardiac diastolic functions.

• Journal of The Korean Society of Integrative Medicine
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• v.8 no.1
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• pp.37-45
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• 2020

Purpose : The purpose of this study is to verify the effectiveness of combined marine healing programs by analyzing the physical composition of elderly musculoskeletal and metabolic patients, the risk factors of metabolic syndrome and the effects of the inflammatory factors, the C -reactive protein (CRP). Methods : Individuals with musculoskeletal and metabolic diseases were identified, and marine healing programs were conducted for f our hours each day for two weeks with 11 elderly participants. A one-way RM ANOVA was conducted to determine the differences due to treatment with composite marine healing systems. The results are as follows. Results : After a two-week ocean healing program, weight decreased the most, while BMI also decreased and muscle mass increased. Waist circumference, a risk factor for metabolic syndrome and CRP, decreased, and CRP demonstrated a decreasing trend. Conclusion : The above results show that the two-week marine healing program has a positive effect on the body composition and inflammatory factors of elderly musculoskeletal and metabolic patients.

• Korean Journal of Occupational Health Nursing
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• v.25 no.2
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• pp.96-107
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• 2016

Purpose: The purpose of this study was to investigate the effects of shift work and hours of sleep on metabolic syndrome in Korean workers. Methods: This study used the Korean National Health and Nutrition Examination Survey data of 2014. The study included 1,579 Korean workers aged over 20. $x^2$ test, t-test, and hierarchical multiple logistic regression were used for statistical analysis of data. Results: From the univariate analysis, hours of sleep, regular work, occupational group, sex, age, marital status, education, smoking, and self-rated health were significantly related to metabolic syndrome. After adjusting demographic, occupational, and health-related variables, workers with under 6 hours/day of sleep showed higher risk for metabolic syndrome (AOR: 1.56, 95% CI: 1.01~2.44), and shift work was not significantly related to metabolic syndrome. Male laborers and workers aged 40 or older also showed higher risk for metabolic syndrome. Conclusion: Results of this study suggest that workers with under 6 hours of sleep, male laborers and workers aged 40 or older are the risk groups of metabolic syndrome. Therefore, prevention and management program for metabolic syndrome should be implemented for this population.

• Health Policy and Management
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• v.29 no.1
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• pp.19-26
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• 2019

Background: The purpose of this study was to evaluate the effectiveness and the level of self-management support on the Metabolic Syndrome Management Program at public health centers in Seoul metropolitan city. Methods: The effectiveness on the Metabolic Syndrome Management Program were analyzed using secondary data from 1,312 community residents who were receiving program. The level of self-management support on Metabolic Syndrome Management Program was evaluated using an 'Assessment of Primary Care Resources and Supports for Chronic Disease Self-Management' from four public health centers. Results: The effectiveness on the Metabolic Syndrome Management Program was showed that decreased smoking (p= 0.044) and drinking (p< 0.001), and increased healthy dietary habit (p< 0.001) in health behaviors. It was showed that decreased triglyceride (p= 0.002) and increased high-density lipoprotein cholesterol (p< 0.001) in clinical indicators. The level of self-management support on Metabolic Syndrome Management Program was 98.1 points and it meaned that implementation is done in an organized and consistent manner using a team approach. There was difference in the level of self-management support by public health centers (p= 0.003). Conclusion: The Metabolic Syndrome Management Program in public health centers was effective, and level of self-management support was done as organizational level, but patient input and mental health were insufficient.

• Journal of The Korean Society of Inherited Metabolic disease
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• v.22 no.2
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• pp.53-57
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• 2022

Congenital metabolic disorders are rare inherited disorders resulting from a defect in biochemical and metabolic pathways affecting proteins, fats, carbohydrates metabolism or impaired organelle function. Depending on the abnormality of biochemical metabolism, various precursors and their abnormal metabolites can accumulate in the body and the final products which are critical in normal physiology can be deficient, resulting in disease. Congenital metabolic disorders present complicated medical conditions involving several human organ systems, including nervous system, eyes, liver, and kidneys. Various proteins and lipids are involved in the development and homeostasis of the skin, so many congenital metabolic disorders present abnormal changes in skin and hair. In this review, congenital metabolic diseases related to amino acid and lipid metabolism accompanying skin abnormalities will be discussed.

• Safety and Health at Work
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• v.14 no.1
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• pp.59-65
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• 2023

Objectives: Epidemiological evidence linking long working hours and shift work to metabolic syndrome remains inadequate. We sought to evaluate the impact of reducing working hours on metabolic syndrome. Methods: We compared the prevalence of metabolic syndrome among male manual workers in a manufacturing company (N = 371) before and after the introduction of policy to reduce daily work hours from 10 to 8 hours. Components of metabolic syndrome were measured in periodic health examinations before the intervention, 6-9 months after, and 1.5-2 years after the intervention. Generalized estimating equation models were used to estimate changes in the prevalence of metabolic syndrome. Analyses were stratified by day work versus shift work. Results: The results showed a significantly decreased prevalence of metabolic syndrome 6-9 months following the intervention in day workers (risk ratio = 0.68, 95% confidence interval 0.52-0.88), but the benefit disappeared after 1.5-2 years. Shift workers showed a decreased prevalence of metabolic syndrome for the whole follow-up duration after the intervention, although the change was not statistically significant. Conclusion: Reducing working hours was associated with short-term improvement in metabolic syndrome in male manual workers.

• 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.