• Korean Journal of Community Nutrition
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• v.16 no.3
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• pp.364-374
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• 2011

There is a great public concern that higher consumption of eggs may increase the risk of chronic disease due to high levels of cholesterol in eggs. In contrast to this concern, limited studies have examined this relationship, and the study results have been inconsistent. This study was to evaluate the cross-sectional associations between egg consumption, blood markers and metabolic syndrome in Korean adults. We analyzed data from the combined 2007-2008 Korean National Health and Nutrition Examination Survey (KNHANES). Egg intakes were assessed using a food frequency questionnaire. Metabolic syndrome was ascertained using criteria of the NCEP ATP III (2001) and abdominal obesity criteria of the WHO. In 5,548 subjects, 937 subjects were defined as having metabolic syndrome. In linear regression models, subjects reporting one or more egg consumption per day had significantly lower levels of triglyceride, fasting blood glucose and blood pressure, and a higher level of HDL cholesterol, compared to those who rarely consumed eggs (P-trends < 0.05). After adjustments for potential confounding factors, the associations were no longer significant except for total cholesterol, showing higher levels with frequent egg consumption. More frequent intakes of egg (1 egg or more/day) were associated with lower risk of metabolic syndrome in a logistic regression model (OR: 0.69, 95% CI: 0.50-0.96), but this association also became insignificant after adjustments for multiple confounding factors (OR: 1.05, 95% CI: 0.71-1.57). In healthy Korean adults, frequent intakes of eggs did not adversely affect the risk of metabolic syndrome. Further studies are needed to confirm this finding.

• Korean Journal of Community Nutrition
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• v.13 no.1
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• pp.46-61
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• 2008

The purpose of this study was to investigate the effect of nutrition counseling on improving metabolic syndrome (MS) risk factors. Sixty-eight subjects were grouped according to their numbers of MS risk factors. Subjects who have three or more risk factors of MS were defined as "High risk", subjects who have two risk factors of MS were defined as "low risk", and subjects who have below two risk factors of MS were defined as "no risk" group. All groups finished nutrition counseling every three weeks for 12 weeks. Anthropometric, dietary assessments (24 hr-recall) and blood samples were measured at 0 and 12 weeks nutrition counseling. After 12 weeks of intervention, anthropometric data (weight, BMl, body fat (%), and waist/hip ratio) were significantly decreased (p < 0.05) in all groups. Daily consumption of calorie was decreased significantly (p < 0.05) in the group of low risk and high risk. Blood level of fasting plasma glucose was significantly decreased (p < 0.001) in all groups after 12 weeks of intervention. Significantly, the fasting plasma glucose level was returned to normal range in the high risk group. The number of people who have three or more risk factors of MS (high risk group) was decreased from 25 to 12. Sum of MS Criteria decreased from 85 to 52 in the group of MS and decreased from 143 to 99 in all groups. These results indicate that nutrition counseling for male workers at the worksite proved to be helpful by reducing the risk factors of MS and thereby reducing the risk of cardiovascular disease. Continuing and systematic nutritional management programs should be developed and implemented for male workers at the worksites.

• 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.

• Communications for Statistical Applications and Methods
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• v.28 no.4
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• pp.339-350
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• 2021

In medical research, the risk factors associated with human diseases need to be identified to predict the incidence rate and determine the treatment plan. Logistic regression analysis is primarily used in order to select risk factors. However, individuals who are unfamiliar with statistics outcomes have trouble using these methods. In this study, we develop a nomogram that graphically represents the numerical association between the disease and risk factors in order to identify the risk factors for delirium and to interpret and use the results more effectively. By using the logistic regression model, we identify risk factors related to delirium, construct a nomogram and predict incidence rates. Additionally, we verify the developed nomogram using a receiver operation characteristics (ROC) curve and calibration plot. Nursing home, stroke/epilepsy, metabolic abnormality, hemodynamic instability, and analgesics were selected as risk factors. The validation results of the nomogram, built with the factors of training set and the test set of the AUC showed a statistically significant determination of 0.893 and 0.717, respectively. As a result of drawing the calibration plot, the coefficient of determination was 0.820. By using the nomogram developed in this paper, health professionals can easily predict the incidence rate of delirium for individual patients. Based on this information, the nomogram could be used as a useful tool to establish an individual's treatment plan.

• Korean Journal of Adult Nursing
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• v.26 no.2
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• pp.244-252
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• 2014

Purpose: This study was aimed to examine the prevalence of metabolic syndrome (MetS) and cardiovascular risk factors among workers at small-sized companies having fewer than 50employees in Korea. Methods: A descriptive cross-sectional study was conducted using a secondary data analysis on workers' health examination data. Data from 21,784 employed workers were analyzed, including 16,488 males (mean age 38.7years)and 5,296 females (mean age 40.5 years). Participants were newly enrolled in annual health check-ups at a professional health clinic from 2009 to 2011. Logistic regression analysis was performed to identify age-adjusted gender specific predicting factors of MetS incidence. Results: The prevalence of MetS was 13.4% in male and 7.7% in female workers. Logistic regression analysis showed that, when age was adjusted for, family history of cardiovascular disease (CVD) was a predicting factor in both male and female workers. For male workers, heavy alcohol drinking and non-manual occupation (office workers/drivers) predicted MetS. Conclusion: Health care providers should screen for MetS periodically in small work places especially for those with a family history of CVD. Educational counseling needs to be given to male workers with sedentary occupations with an aim to reduce heavy drinking and encourage lifestyle modification.

• Archives of Obesity and Metabolism
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• v.2 no.2
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• pp.54-63
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• 2023

Estrogen is crucial in regulating food intake, energy expenditure, glucose metabolism, and lipid metabolism. During menopause, the decline in estrogen levels predisposes women to weight gain, abdominal obesity, insulin resistance, type 2 diabetes, hypertension, and cardiovascular disease (CVD). Menopausal hormone therapy (MHT) prevents weight gain, improves lipid metabolism by lowering low-density lipoprotein cholesterol while raising high-density lipoprotein cholesterol, and delays the onset of type 2 diabetes in menopausal women. The effect of MHT on CVD in menopausal women remains controversial. The Women's Health Initiative study was terminated prematurely after it revealed that hormone administration increased the risk of myocardial infarction, stroke, and thromboembolism. However, some studies have found that MHT had no effect or decreased the risk of CVD. The inconsistent results were likely due to multiple factors, including the timing of hormone therapy initiation, duration of therapy, type and dosage, and presence or absence of CVD risk factors at the start of treatment. Despite its benefits in terms of managing weight gain and reducing the risk of type 2 diabetes, dyslipidemia, and CVD associated with obesity, it is not recommended as the primary therapy for weight loss or diabetes prevention. MHT is primarily indicated for postmenopausal women, who are likely to benefit from its potential to prevent weight gain and improve lipid metabolism.

• Journal of Sasang Constitutional Medicine
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• v.29 no.3
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• pp.232-241
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• 2017

Objectives This study was to identify the lifestyle associated with metabolic syndrome and to suggest a personalized health management according to the constitution to prevent disease by metabolic syndrome stage. Methods This study used the data of Korean medicine Data Center (KDC). A total of 8,985 data were searched for subjects who participated in Anseong and Ansan cohorts study from 2009 to 2012. We analyzed 2,602 participants that diagnosed with metabolic syndrome among the ages of 30 to 55. We divided into three groups, none, pre-metabolic syndrome (Pre-MetS), and metabolic syndrome (MetS), according to number of metabolic syndrome elements. Results The prevalence of metabolic syndrome was highest in Taeumin (Pre-MetS: 48.2%, MetS: 41.2%). The risk factors for metabolic syndrome are dietary amount, speed of eating, and sleep quality in Taeumin, and dietary amount and sleep quality in Soyangin. Conclusions The life style affecting the metabolic syndrome were different according to the constitution. It is necessary to manage life style considering the Sasang constitution

• Journal of the Korea Society of Computer and Information
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• v.17 no.1
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• pp.41-52
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• 2012

According to 2005 Korea National Health and Nutrition Survey, it has been reported that 32.9% men and 31.8% women have Metabolic syndrome among the population of age 30 and over. The importance of prevention and management is being emphasized in Metabolic syndrome which is a complex disease related to various generic and environmental factors like other chronical disease. In this study we suggest an service based on the data using the system architecture, ontology and Jena2.0 inference engine and organizing the disease-related guideline. The study also arrives at the result through proper interpretation and reasoning process using health management service model based on ontology. The accuracy according to the situation was tested and 930 data samples were selected and experimented. We drew a conclusion that the much personalized data is available, the more personalized services are possible. Since the risk factors of Metabolic syndrome are various, it would be effective to suggest customized services based on various personalized data.

• Korean Journal of Community Nutrition
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• v.15 no.6
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• pp.783-795
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• 2010

This study was intended to investigate the risk of metabolic syndrome (MS) in healthy 92 male smokers (mean age: $44.4\;{\pm}\;7.8\;yrs$). We investigated the anthropometric assessment and dietary intake survey for 2 days by 24-recall method, also blood pressure and serum lipids were measured. The average numbers of cigarettes smoking a day were 21.3/d, smoking duration were 21.5 years. The proportion of fat energy was 24.9% and intakes of vitamin B2, folate, calcium, potassum and fiber were lower than KDRI. The body mass index (BMI) and body fat % were 24.8, 23.9% respectively. The systolic ($134.1\;{\pm}\;1.4\;mmHg$) and the diastolic blood ($87.9\;{\pm}\;1.1\;mmHg$) pressure were in borderline hypertension. Among biochemical parameters, TG ($173.6\;{\pm}\;9.4\;mg/dL$) and fasting blood glucose ($109.0\;{\pm}\;2.4\;mg/dL$) levels were out of normal values. The most occurred problem among the risk factors related to MS was the borderline hypertension (63%) in subjects. Regarding the correlations of anthropometric data with biochemical factors, TG was significantly correlated with the BMI, body fat % and waist circumference. Smoking years showed positive correlation with AI. These results suggest that the smoking habit has significant relations with the risk factors of MS. Therefore, quitting is necessary to prevent MS, and nutrition education and dietary management program are required to prevent the degenerative disease.

• Clinical Nutrition Research
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• v.6 no.3
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• pp.172-182
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• 2017

We investigated the association between dietary habits/food group consumption patterns and early risk of metabolic syndrome (MetS), a main cause for metabolic disease. Study participants were recruited from the health promotion center in Dong-A University Hospital and public advertisement. Study subjects (n = 243, 21-80 years) were categorized into three groups: Super-healthy (MetS risk factor [MetS RF] = 0, n = 111), MetS-risk carriers (MetS RF = 1-2, n = 96), and MetS (MetS $RF{\geq}3$, n = 27). Higher regularity in dietary habits (breakfast-everyday, regular eating time, non-frequent overeating, and non-frequent eating-out) was observed in the Super-healthy group than in the MetS-risk carriers, and particularly in the MetS subjects. The relationship between food group consumption patterns and MetS-risk related parameters were investigated with adjustment for confounding factors. Fruit consumption was positively associated with HDL-cholesterol, and tended to be negatively associated with waist circumference, triglyceride, LDL-cholesterol, and insulin resistance (IR). The consumption of low-fat meats and fish, and vegetables was negatively associated with hs-CRP. Specifically, the consumption of seafoods belonging to the low-fat fish was negatively associated with fasting glucose, hs-CRP, and interleukin (IL)-6. Anchovy/dried white baits consumption was negatively associated with fasting insulin and IR. Green-yellow vegetables consumption was negatively associated with fasting insulin, IR, and hs-CRP. On the other hand, sugars and fast-foods were positively associated with LDL-cholesterol. Additionally, fast-foods consumption was positively associated with hs-CRP and IL-6 levels. In conclusion, dietary habits/food group consumption patterns are closely associated with MetS-risk related parameters in Koreans. It may suggest useful information to educate people to properly select healthy foods for early prevention of MetS.