• Journal of Korean Biological Nursing Science
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• v.13 no.2
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• pp.134-141
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• 2011

Purpose: Although the risk factors of metabolic syndrome have been extensively studied, the association between osteoporosis and metabolic syndrome has remained unclear in Korean elderly women. Yet to be determined are the effect of risk factors of metabolic syndrome on osteoporosis in these subjects. The purpose of this study was to investigate how the risk factors of metabolic syndrome affect the bone mineral density in Korean elderly women. Methods: One hundred twenty one elderly women from a community center in Seoul elderly welfare center participated in this study. A structured questionnare was used to assess their demographics and lifestyles. Participants' anthropometric information was also obtained by measuring heights, weights, and waist circumferences. The blood samples were also obtained to measure blood glucoses and blood lipids. Bone mineral density was measured with the use of ultra sono. Results: The prevalence of metabolic syndrome in our subjects was 58%. In multivariate regression analysis, fasting plasma glucose level (p=.036) and triglycerides (p=.006) were significant factors predicting bone mineral density after adjusting age and other factors of metabolic syndrome. In age-adjusted analysis, women with metabolic syndrome had significantly higher bone mineral density as compared to those without metabolic syndrome (p=.026). Conclusion: Bone mineral density among elderly Korean women is associated with the level of blood glucose and triglycerides.

• Journal of Korean Biological Nursing Science
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• v.20 no.4
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• pp.261-269
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• 2018

Purpose: The purpose of this study was to investigate the prevalence of metabolic syndrome and diagnostic components in adult women. Methods: The subjects of this study were 12,016 women that were aged twenty years or older and underwent an annual health check-up for National Health Insurance Service (NHIS) from 2009 to 2013. Data including blood pressure, waist circumstance, fasting glucose, triglyceride, and high density lipoprotein cholesterol (HDL-C) were received from the NHIS. This data was analyzed through the use of descriptive statistics, ${\chi}^2$-test, and multiple logistic regression. Results: The prevalence of metabolic syndrome and diagnostic components increased with age. In the five diagnostic components of the metabolic syndrome, the prevalence of low HDL-C was highest in 20s to 40s. The prevalence of high blood pressure was highest in the people aged fifty or older. The risk of metabolic syndrome in 2013 was higher in women with abnormal diagnostic component of metabolic syndrome in 2009 and highest in women with abnormal waist circumstance in 2009. Conclusion: There was a need to investigate the prevalence of metabolic syndrome components according to age. Education on metabolic syndrome was required for those that had one or two abnormal diagnostic components. The risk of abdominal obesity related to metabolic syndrome needs to be emphasized. Moreover the education for management of abdominal obesity also needs to be emphasised.

• 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 Public Health Nursing
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• v.29 no.3
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• pp.540-550
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• 2015

Purpose: The purpose of this study was to examine a combined influence of obesity and metabolic syndrome on ischemic heart disease in Korean middle aged and older adults. Methods: This study used secondary data from the 2013 Korea National Health and Nutrition Examination Survey. A total of 3,726 adults over age 40 were included. Logistic regression was used for analysis of complex samples. Gender, age, educational level, family income, family history of ischemic heart disease, physical activity, smoking, and heavy alcohol consumption were analyzed as covariates. Results: Ischemic heart disease was more prevalent among adults with metabolic syndrome regardless of obesity (non-obesity: Adjusted Odds Ratio [AOR]: 3.044, 95% Confidence Interval [CI]: 1.163-7.967, overweight: AOR: 2.805, 95% CI: 1.246-6.316, obese: AOR: 3.137, 95% CI: 1.548-6.358) compared to the reference group, defined as adults with non-obesity and non-metabolic syndrome. Odds of ischemic heart disease were not significant in the group with obesity and non-metabolic syndrome compared to the reference group. Conclusion: The results of this study show that the population with metabolic syndrome is an at-risk group for ischemic heart disease. Thus, management of metabolic syndrome is required for prevention of ischemic heart disease.

• Research in Community and Public Health Nursing
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• v.30 no.3
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• pp.271-280
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• 2019

Purpose: This study evaluates the efficacy of a Self-Care Reinforcement Program (SCRP) based on the Selection Optimization Compensation (SOC) model, in socially vulnerable elderly women with metabolic syndrome. Methods: This study adopts a pretest-posttest nonequivalent control group design. The participants were 64 socially vulnerable elderly Korean women with metabolic syndrome (experimental group: 31, control group: 33). Participants' body composition analysis, nutrient intake, risk factors of metabolic syndrome, depressive symptoms, and social network were measured. Data were analyzed with an independent t-test; statistical significance levels were set at p<.05. The SCRP, including metabolic syndrome education, nutritional education, exercise, and social network, was performed three times a week for 8 weeks. Results: There were statistically significant differences between the experimental and control groups in terms of systolic blood pressure, diastolic pressure, fasting blood sugar, triglycerides, sodium intake, depressive symptoms, and social networks. Conclusion: The SCRP is effective and can be recommended as a community health nursing intervention for socially vulnerable elderly women with 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.

• 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.

• 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.

• Korean Journal of Community Nutrition
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• v.25 no.1
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• pp.61-70
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• 2020

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.

• 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.