Journal of The Korean Society of Inherited Metabolic disease
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v.22
no.2
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pp.37-45
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2022
Inherited metabolic disorders (IMD) are a large group of rare disorders affecting normal biochemical pathways. The ophthalmic involvement can be very varied affecting any part of the eye, including abnormalities of cornea, lens dislocation and cataracts, retina and the optic nerve, and extraocular muscles. Eye disorders can be initial symptoms of some IMD and can be clue for diagnosis of IMD. However, eye disorders can evolve later in the natural history of an already diagnosed metabolic disorder. Awareness of IMDs is important to facilitate early diagnosis and in some cases instigate early treatment if a patient presents with eye involvement suggestive of a metabolic disorder. Ophthalmological interventions are also an important component of the multisystem holistic approach to treating patients with metabolic disorders.
Objectives: This study examined the association of the total diet quality with the incidence risk of metabolic syndrome constituents and metabolic syndrome among Korean adults. Methods: Based on a community-based cohort of the Korean Genome and Epidemiology Study (KoGES) from 2001 to 2014, data from a total of 5,549 subjects (2,805 men & 2,744 women) aged 40~69 years at the baseline with a total follow-up period of 38,166 person-years were analyzed. The criteria of the National Cholesterol Education Program Adult Treatment Panel was employed to define metabolic syndrome. The total diet quality was estimated using the Korean Healthy Eating Index (KHEI). Hazard ratios (HR) and 95% confidence intervals (CI) for risk of metabolic syndrome constituents and metabolic syndrome in relation to KHEI quintile groups was calculated by multivariate Cox proportional hazards regression model. Results: After adjusting for age, energy intake, income, education, physical activity, smoking, and drinking, the incidence of abdominal obesity and high blood pressure was significantly lower, by approximately 29.7% (P < 0.01) and 25.2% (P < 0.01), respectively, in the fifth KHEI quintile compared to the first quintile in men. A significant decreasing trend of the metabolic syndrome incidence was observed across the improving levels of KHEI (HRq5vs.q1: 0.775, 95% CIq5vs.q1: 0.619~0.971, P for trend < 0.01). In women, the incidence of abdominal obesity and metabolic syndrome was significantly lower, by approximately 29.8% (P < 0.01) and 22.5% (P < 0.05), respectively, in the fifth KHEI quintile compared to the first quintile adjusting for multiple covariates. On the other hand, the linear trend of metabolic syndrome risk across the KHEI levels did not reach the significance level. Conclusions: A better diet quality can prevent future metabolic syndrome and its certain risk factors among Korean men and women.
Kim, Ki Young;Dong, Jae Yong;Han, Seung Yeon;Lee, Kwang-Soo
Health Policy and Management
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v.27
no.1
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pp.47-55
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2017
Background: This study purposed to analyze the effects of metabolic syndrome on the total medical charge of patients. Methods: 2013 National Health Insurance Service sample research database (eligibility database, medical database, and health examination database) was used for this study. Gamma regression was applied to analyze the effects of metabolic syndrome on the total medical charge and logistic regression was used to determine the probability of medical charge which was higher than the third quartile. Sociodemographic characteristics (age and household income), health behavior factors (smoking, drinking, exercise, and body mass index), and disease related factors (family history and metabolic syndrome) were included as the independent variables. Results: people who had metabolic syndrome spent more medical expenses than those without metabolic syndrome both in man and woman group. The standard regression coefficient was 0.09 (p< 0.001) in man with metabolic syndrome and 0.16 (p< 0.001) in woman. In addition, woman with metabolic syndrome spent more than the third quartile of medical charge. The odds ratios was 1.04 (p= 0.16) for man with metabolic syndrome and 1.18 (p= 0.013) for woman. Conclusion: people with metabolic syndrome spent more medical charge, so it will need to consider policy interventions for preventing the incidence and management of metabolic syndrome in Korean people.
Purpose: This study examined the influencing factors for metabolic syndrome and the annual medical expenditures of metabolic syndrome among public officials. Methods: The National Health Insurance data in 2009 were collected for 364,932 public officials and the heath examination results and annual medical expenditures were analyzed using PASW 18.0 program. Results: The prevalence of metabolic syndrome is 17.6%, and it was higher in male officials than that of females in all age groups. In men, the influencing factors for metabolic syndrome were: age, family history of stroke, cardiovascular disease, hypertension, and diabetes mellitus, smoking, alcohol consumption, exercise, and obesity. However, in women, health-related behaviors such as smoking, alcohol consumption and exercise did not affect metabolic syndrome. People who had metabolic syndrome showed significantly higher medical expenditures than those without metabolic syndrome. The odds ratios of having the highest quartile in medical expenditures were 1.372 (95% CI 1.252~1.504, p<.001) in women with metabolic syndrome and 1.213 (95% CI: 1.184~1.243, p<.001) in men. Conclusion: The results implied that health-related behaviors were associated with metabolic syndrome, and resulted in higher medical expenditures. In order not only to decrease the risk of metabolic syndrome but also reduce medical expenditures, nurses should plan health promotion strategies to educate public officials about healthy life strategies.
Journal of Physiology & Pathology in Korean Medicine
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v.25
no.3
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pp.563-572
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2011
The purpose of this study was to investigate incidence and related factors of the metabolic syndrome in a Korean medicine hospital. The 716 subjects were analyzed using biochemical data and survey who took medical examination in Daejeon Korean Medicine Hospital for general health check-up. This investigation was conducted from February in 2008 to July in 2010. The metabolic syndrome was diagnosed according to the definition by the NCEP ATP III. The abdominal obesity guidelines for waist circumference applied by the WHO Western Pacific Region, IASO and IOTF: The Asia-Pacific Perspective in 2000. Incidence of metabolic syndrome was 12% (14.6% in men, 8.2% in women). The groups that have two metabolic risk factors were 21.9% in men and 7.5% in women. The incidence increased with ageing. The mean of metabolic syndrome`s triglyceride was in hypertriglyceridemia, and that of their BMI in men was in primary obese and that of their AST, ALT, ${\gamma}$-GTP means were in abnormal liver function. Smokers in men have metabolic syndrome 10 times more than non-smokers in men. Exercisers that do the exercise once or twice a week in women have metabolic syndrome 0.2 times more than non-exerciser in women. Women that have family history of stroke, were associated with metabolic syndrome by $x^2$-test. Men that have family history of hypertension, have metabolic syndrome 4 times more than otherwise men. Men that have family history of diabetes mellitus, have metabolic syndrome 3 times more than otherwise men.
1. Objectives The risk for cardiovascular diseases increases significantly when multiple risk factors exist, as in the form of metabolic syndrome, compared to a single risk factor. This study was to assess the prevalence rate of metabolic syndrome and evaluate the factors associated with metabolic syndrome and Sasang Constitutional Types. 2. Methods 666 subjects(280 men and 386 women), more 40 years old, in a rural community study were examined in point of Sasang Constitution and metabolic syndrome. 3. Results 1) Their Constitutional distribution were Taeeumin 436 persons (65.5%), Soyangin 83 persons (12.5%), Soeumin 147 persons (22.1%) and no Taeyangin diagnosed by PSSC. 2) Body weight, BMI, waist circumstance and hip circumstance were significantly high in Taeeumin group like previous study results. 3) Prevalence rate of metabolic syndrome was 32.0%, especially 27.1% in men and significantly higher as 35.5% in women than men. 4) In men, prevalence rate of metabolic syndrome was 1.4% in Soyangin, 2.9% in Soeumin and significantly high as 22.9% in Taeeumin. 5) In women, prevalence rate of metabolic syndrome was 12.5% in Soyangin, 3.6% in Soeumin and significantly high as 47.6% in Taeeumin. 6) Hazard ratios for metabolic syndrome were 1.14 for women to men, 2.34 for those at the age of 60s to 40s, 1.95 for Soyangin to Soeumin and 3.39 for Taeeumin to Soeumin. 4. Conclusions Sasang Constitutional Type may be an significant risk factor for metabolic syndrome and regimen according to Sasang Constitutional Type is thought to be needed to prevent metabolic syndrome.
Objectives: The purpose of this study is to identify prevalence and related factors of the elderly, who took health examination, with metabolic syndrome. Methods: The health examination and lifestyle survey were performed for 21,512 adults at 60 years of age or older who took health examination in H health promotion center during January-March 2009. Results: The prevalence of metabolic syndrome for the subject was 24.0%. Of the subject with metabolic syndrome, the prevalence of the diseases was obesity 60%, abdominal obesity 78.5%, hypertension 82.6%, dyslipidemia 89.7% and diabetes 51.9%. In comparison of the relationship between metabolic syndrome and other diseases, the male subject with metabolic syndrome were significantly higher in BMI, waist circumference, systolic/diastolic blood pressure, hemoglobin, AST, ALT, $\gamma$-GTP, TG, AC glucose, creatinine than normal male(p<0.001). In comparison of the relationship between metabolic syndrome and lifestyle, more drinking frequency and amount in male and more drinking frequency in female were associated with increased risk of metabolic syndrome(p<0.01). Regardless of exercise intensity, practice of exercise contributed to reduce the risk of metabolic syndrome(p<0.01). Conclusion: In conclusion, TLC program, focused on lifestyle behaviors which is strongly associated with the prevalence of metabolic syndrome, should be developed for the improvement of life quality in the elderly with metabolic syndrome.
The intracellular metabolic fluxes can be calculated by metabolic flux analysis, which uses a stoichiometric model for the intracellulal reactions along with mass balances around the intracellular metabolites. In this study, metabolic flux analyses were carried out to estimate flux distributions for the maximum in silico yields of various metabolites in Escherichia coli. The maximum in silico yields of acetic acid and lactic acid were identical to their theoretical yields. On the other hand, the in silico yields of succinic acid and ethanol were only 83% and 6.5% of their theoretical yields, respectively. The lower in silico yield of succinic acid was found to be due to the insufficient reducing power. but this lower yield could be increased to its theoretical yield by supplying more reducing power. The maximum theoretical yield of ethanol could be achieved, when a reaction catalyzed by pyruvate decarboxylase was added in the metabolic network. Futhermore, optimal metabolic pathways for the production of various metabolites could be proposed, based on the results of metabolic flux analyses. In the case of succinic acid production, it was found that the pyruvate carboxylation pathway should be used for its optimal production in E. coli rather than the phosphoenolpyruvate carboxylation pathway.
The Journal of Korean Society for School & Community Health Education
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v.19
no.3
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pp.1-14
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2018
Objectives: The purpose of this study was to investigate the prevalence of metabolic syndrome and to find related factors according to the number of metabolic syndrome diagnostic components in Korean adolescents. Methods: The subjects of this study were 469 Korean adolescents aged from 12 to 18 enrolled in the 2016 Korea National Health and Nutrition Examination Survey. Statistical package R 3.4.2 was used for programming to apply diagnostic criterion of adolescent metabolic syndrome and for the analysis of the data such as weighted frequent analysis, weighted mean analysis and complex sampling design logistic regression analysis. Results: For adolescents 12 to 18 years of age, 2.55% had more than 2(${\geq_-}3$), 9.88% had more than 1(${\geq_-}2$) and 33.17% had more than 0(${\geq_-}1$) metabolic syndrome diagnostic components. It has been found that risk factors for no less than 2 metabolic syndrome diagnostic components were higher body mass index and higher stress, and risk factors for no less than 1 were higher body mass index, younger teenager and female. Conclusion: Obesity is the primary risk factor for the development of adolescent metabolic syndrome. Female or younger teenager are more likely to have one or more metabolic syndrome diagnostic components, and higher stress develop to the risk level of having two or more metabolic syndrome diagnostic components. Therefore, it is important to focus on obesity and stress management for the prevention and control of Korean adolescent metabolic syndrome.
Journal of Korean Society of Occupational and Environmental Hygiene
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v.24
no.4
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pp.566-577
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2014
Objectives: The purpose of this study was to evaluate the predictors of metabolic syndrome among police officers and determine its prevalence. Methods: Data were collected through a questionnaire survey and medical examination among 1,089 male police officers from 2010 to 2013. Information about age, marital status, smoking, drinking and exercise were based on data from the self-administered questionnaire. We collected job type, working position, and work duration from company personnel data and the indices of metabolic syndrome through the medical examination. Metabolic syndrome was assessed according to the NCEP-ATP III definition and the Asia-Pacific obesity guidelines. Results: The prevalence of metabolic syndrome among the 1,089 police officers was 33.4%. The prevalence of metabolic influencing factors were 47.5% for abdominal obesity, 30.1% for hypertension, 37.1% for hypertriglyceridemia, 22.0% for low HDL-cholesteralemia and 13.2% for hyperglycemia. Factors such as age, drinking, and family history were significantly associated with metabolic syndrome. Conclusions: Weight control and a moderate drinking program may decrease the prevalence of metabolic syndrome among male police officers.
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