• Journal of The Korean Society of Integrative Medicine
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• v.10 no.4
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• pp.229-240
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• 2022

Purpose : In this study, using Oyster Shell Thermal Therapy for metabolic diseases, we analyzed the effect of immune and inflammation-related variables and respiratory health-related variables of test subjects to verify the effect of improving respiratory health. Methods : In this study, 26 patients with metabolic diseases were divided into an experimental group (N=13) and a control group (N=13). After Oyster Shell Thermal Therapy (four weeks/three times a week/1 hour per time), metabolic disease-related variables and immune and respiratory health-related variables were measured and compared between the two groups. The conclusion of this study is as follows: Results : After the four-week Oyster Shell Thermal Therapy, in terms of changes in the metabolic disease-related variables, the control group exhibited a higher increase in TC and LDL-C levels than the experimental group. In the case of glucose, the experimental group showed a decrease after the experiment (p<.05). After the four-week thermotherapy, a statistically significant interactive effect occurred in natural killer (NK) cells among the immune-related variables. According to the results of a post-experimental analysis, the control group showed a higher decrease in NK cells than the experimental group (p<.05). After the 4-weeks thermotherapy, the experimental group showed a greater increase in maximum oxygen intake of the respiratory health-related variables than the control group. Conclusion : Based on a comprehensive review of the study results, the subjects who underwent the four-week Oyster Shell Thermal Therapy exhibited positive physical changes in metabolic disease-related variables as well as immune and respiratory health-related variables, which demonstrates the effectiveness of Oyster Shell Thermal Therapy on immune and respiratory health. Accordingly, it is recommended to conduct long-term Oyster Shell Thermal Therapy with various models in terms of the size and shape.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.4
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• pp.247-258
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• 2023

Purpose : This study aims to evaluate the effectiveness of a sea breeze walking program by analyzing the metabolic disease-related, immune-inflammation-related, and respiratory health-related variables of the test subjects associated with improved respiratory health. Methods : In the experiment, 30 patients with metabolic diseases were divided into an experimental group (n=15) and a control group (n=15). The experimental group walked on the Namparang-gil, Geoje trail, while the control group walked on the Hoeya-cheon, Yangsan trail. Both groups participated in the same walking program for two hours, twice a week for four weeks. Thereafter, the metabolic disease-related, immune inflammation-related, and respiratory health-related variables were measured and compared between the two groups. Results : After the four-week sea breeze walking program, in terms of changes in the metabolic disease-related variable, a statistically significant interactive effect was found in waist circumference (p<.001). The experimental group showed a significant decrease in waist circumference after the program. After the four-week sea breeze walking program, the control group showed a statistically higher increase in lactic acid (p.<05), whereas the experimental group exhibited a decrease in lactic acid. For the respiratory health-related variables, no statistically significant differences were found after the sea breeze walking program. However, the experimental group showed an increase in FEV1,while the control group showed a decrease in FEV1. For the maximum oxygen intake, no statistically significant interactive differences were found but there was a statistically significant effect in time (p<.05). The two groups exhibited an increase in maximum oxygen intake. Conclusion : After the sea breeze walking program, positive physical changes were observed in the metabolic disease-related and immune inflammation-related variables.

• Journal of the Korean Dietetic Association
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• v.25 no.2
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• pp.142-155
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• 2019

The aim of this study was to construct and test a structural equation model for the risk factors of metabolic syndrome in Korean adults. The structural equation model hypothesizes that eating alone and feeling depressed is a risk factor for metabolic syndrome. The data of this study were obtained from the Sixth Korea National Health and Nutrition Examination Survey which was cross-sectional data from the representative national survey. A total of 4,013 subjects replied to the survey item of lifestyle and completed the physical examinations among adults aged 19 years or older in South Korea was in 2015. The structural model in this study was composed of four latent variables: eating alone, depression, negative health behavior, and metabolic syndrome. Two variables, the rate of eating alone and depression, were exogenous variables. Negative health behavior was both a mediating variable and endogenous variable, and metabolic syndrome was the final endogenous variable. The data were analyzed using the Maximum Likelihood method and bootstrapping. The structural model was appropriate for the data based on the model fit indices. The results of this study can be summarized as follows: Eating alone is a direct risk factor of metabolic syndrome in Korean women. Depression can mediate metabolic syndrome through negative health behaviors. Negative health behavior had a direct impact on metabolic syndrome in both men and women. This study may be a guideline for interventions and strategies to reduce the incidence of metabolic syndrome in Korean adults.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.33 no.3
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• pp.332-345
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• 2023

Objectives: We examined the association of hearing with cardio-metabolic diseases, dyslipidemia, hypertension and diabetes mellitus according to the personal and occupational characteristics of workers exposed to noise. Methods: The subjects of the study were 237,028 workers who underwent 2, 3, and 4 kHz airway pure tone audiometry in 2015 and who underwent clinical tests to diagnose cardiovascular-metabolic diseases. Cardiovascular-metabolic diseases were defined using reference values for respective items including blood pressure (systolic/diastolic), fasting blood glucose, cholesterol, and triglycerides. The airway pure tone hearing threshold of 2, 3, and 4 kHz, the average threshold of 2-3-4 kHz, and the hearing loss by the average threshold of the primary examination were distinguished. Results: Workers with cardiovascular-metabolic disease had significantly higher average hearing thresholds and higher rates of hearing loss. Logistic regression analysis, which adjusted for demographic variables of gender and age and occupational variables such as workplace size, industry, and type of work, and cardiovascular-metabolic disease as independent variables, showed that the odds ratio of hypertension to hearing loss in the mid-frequency was 1.239 (95% confidence interval: 1.118-1.374). For hypertension was 1.159 (1.107-1.214) and for diabetes it was 1.166 (1.104-1.230) for hearing loss in the high-frequency. Hearing loss measured by mean hearing was 1.178 (1.105-1.256) for hypertension and 1.181 (1.097-1.271) for diabetes. Conclusions: Cardiovascular-metabolic diseases in noise-exposed workers are associated with an increased risk of hearing loss and should be accompanied by bio-monitoring of cardiovascular-metabolic diseases in addition to auditory surveillance.

• Journal of Korean Biological Nursing Science
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• v.20 no.2
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• pp.84-91
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• 2018

Purpose: The purpose of this study was to construct and test a structural equation model to investigate the risk factors of metabolic syndrome in rural women. Methods: The raw data in this study was collected from the Korean Genome and Epidemiology Study supervised by the Korea Centers for Disease Control and Prevention from 2005 to 2010. The data included physical examinations and surveys of 1,125 women, who resided in three rural areas of South Korea. The structural model in this study was composed of five latent variables: depression, stress, social support, health behavior, and metabolic syndrome. The structural equation model was used to assess the relationships among the variables. Results: The results of the study showed that depression and stress had direct effects on metabolic syndrome. Social support had a direct effect on health behavior and metabolic syndrome. Also, health behavior had a direct effect on metabolic syndrome. Conclusion: This study may serve as a guideline for interventions and strategies used to reduce metabolic syndrome in rural women.

• Biomedical Science Letters
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• v.25 no.3
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• pp.256-266
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• 2019

In this study, obese adults were compared for their ability to predict obesity and lipid related variables and their optimal cutoff values to predict metabolic syndrome and insulin resistance. In this study, 9,256 adults aged 20 years or older and less than 80 years old, who were in the Gyeonggi region from January 2014 to December 2016 and who were examined at a general hospital, were enrolled. The diagnostic criteria for obesity were WHO (World Health Organization), and BMI $25kg/m^2$ or more presented in the Asia-Pacific region. Metabolic syndrome was diagnosed based on the criteria of American Heart Association / National Heart, Lung, and Blood Institute (AHA / NHLBI). According to the results of receiver operating characteristic curve (ROC) analysis, Triglyceride / HDL-cholesterol (TG / HDL-C), Triglyceride and Glucose (TyG) index, lipid accumulation product (LAP) and visceral adiposity index (VAI) showed high predictive power for diagnosing metabolic syndrome. The diagnostic accuracy of LAP (AUC: 0.854) for males and VAI (0.888) for females was the highest. The optimal cutoff value of LAP was 42.71 for male and 35.44 for female, and the cutoff value of VAI was 1.92 for male and 2.15 for female. In addition, WHtR (waist to height ratio), TyG index, and LAP were used as predictors of insulin resistance in obese adults. Therefore, LAP and VAI were superior to other indicators in predicting metabolic syndrome in obese adults.

• Journal of Korean society of Dental Hygiene
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• v.15 no.6
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• pp.947-961
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• 2015

Objectives: The purpose of the study was to identify the relationship between metabolic syndrome and oral diseases in the middle aged and elderly in Korea. Methods: The study subjects were 6,390 people over 40 years old from 2010 and 2012 Korea National Health and Nutrition Examination Survey. The survey questionnaire consisted of health, nutrition, and oral examination surveys. The independent variables included general characteristics, health behavior, oral health behavior, and metabolic syndrome. The dependent variables included dental caries experience and periodontal disease. The oral examination was carried out by the dentist based on World Health Organization standard. Results: The average prevalence rate of metabolic syndrome MS was 23.79%, including 54.84% of risk group and 21.37% of normal group. The missing teeth rate was 82.38%, DMFT rate was 90.28% and the periodontal disease rate was 33.15%. Those having abnormal fasting blood glucose had 1.17 fold(95% CI: 1.00~1.37) higher periodontal disease than the normal group. The abnormal HDL cholesterol group had 1.25 times higher odds ratio(95% CI: 1.07~1.46) and the obese group had 1.27 times higher odds ratio(95% CI: 1.07~1.51). The risk group had 1.20 times higher odds ration(95% CI: 1.00~1.44) and that of the metabolic syndrome group was 1.60 times higher(95% CI: 1.29~1.97) in periodontal disease. The high blood pressure group had 1.25 times of missing teeth prevalence rate(95% CI: 1.00~1.37). The metabolic syndrome group had 1.47 times of missing teeth prevalence rate(95% CI: 1.11~1.94). Conclusions: The middle aged and elderly people in Korea had higher rate of metabolic syndrome and oral disease. It is necessary to implement the preventive oral health examination for the control of metabolic syndrome and oral diseases prevalence.

• Journal of Korean Public Health Nursing
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• v.28 no.2
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• pp.270-284
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• 2014

Purpose: This study investigated the effects of lifestyle factors in metabolic syndrome among adolescents. The metabolic syndrome has been reported as a cause of various chronic diseases, including cardiovascular disease and diabetes in adolescents. Method: This study is a cross-sectional study on 1,931 adolescents (1,011 boys and 920 girls) aged 12-19 years from the Korean Health and Nutrition Examination Survey 2010-2012. Data were analyzed by descriptive statistics, t-test, $x^2$-test, and logistic regression in consideration of strata, cluster, and weight as national data. Result: The prevalence of metabolic syndrome in adolescents aged 12-19 years was 4.3% (Boys, 5.4%; Girls, 3.1%). Among lifestyle factors, BMI had significants influences on the metabolic syndrome risk, but other variables did not. Conclusion: The results of this study indicate that further research is necessary on the effect of lifestyle factors in metabolic syndrome and that school health nurses should focus on implementation of effective programs for promotion of activity and healthy foods for prevention and intervention of metabolic syndrome.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.134-137
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• 2016

Big data analysis refers the ability to store, manage and analyze collected data from an existing database management tool. In addition, extract value from large amounts of structured or unstructured data set and means the technology to analyze the results. Meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. Meta-analysis is sometimes expressed as an analysis of another analysis. Commonly, factors of metabolic syndrome can be defined as abdominal obesity, high triglycerides, low high density lipoprotein cholesterol, elevated blood pressure, and elevated fasting glucose. This study will find meaningful mediator variables for criterion variables that affect before and after the metabolic syndrome studies, on the basis of the results of a meta-analysis. We reviewed a total of 5 studies related to metabolic syndrome published in Korea between 2000 and 2016, where a cause and effect relationship is established between variables that are specified in the conceptual model of this study.

• 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.