• Journal of Korean Public Health Nursing
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• v.33 no.1
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• pp.20-32
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• 2019

Objectives: This study identified biopsychosocial factors associated with metabolic syndrome among Korean men and women aged over 40 years. Methods: Secondary data from the 2010-2016 Korean National Health and Nutrition Examination Survey were used for this study. Based on the biopsychosocial model, psychosocial factors (stress, depression, smoking, binge alcohol consumption, physical activity) were assessed with control of biomedical (age, body mass index, family history of hypertension, dyslipidemia, type 2 diabetes mellitus, and cardiovascular disease) and biosocial factors (educational level and economic status). Data from 8,624 men and 7,321 women were analyzed by logistic regression analysis using a complex sample procedure. Results: Among men, current or past smoking habits (Adjusted Odds Ratio [AOR]: 1.349; 95% Confidence Interval [CI]: 1.155-1.575, p<.001) and binge alcohol consumption (AOR: 1.570, CI: 1.389-1.774, p<.001) were associated with metabolic syndrome. In addition, moderate (AOR: 1.205, CI: 1.038-1.400, p=.014) and low levels of physical activity (AOR: 1.296, CI: 1.109-1.514, p=.001) were associated with metabolic syndrome. Among women, low level of physical activity (AOR: 1.276, CI: 1.017-1.602, p=.036) was associated with metabolic syndrome. Conclusion: Gender specific interventions such as encouraging physical activity and prevention of smoking and excessive alcohol drinking are important to prevention of metabolic syndrome.

• Journal of agricultural medicine and community health
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• v.35 no.1
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• pp.36-45
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• 2010

Objectives: This study was performed to examine the healthy lifestyle influenced on the metabolic syndrome among the elderly in the rural area. We examined the changes of risk factors of metabolic syndrome after two years. Method: Out of 134 who did health screening at the J county health center from July 1 to August 31, 2006, 65 aged people confirmed to metabolism syndrome were selected as subjects. For the final analysis, 62 aged people who revisited after two years were selected our subjects. The data were analyzed using SPSS PC+ 12.0 program for descriptive, Chi-square test, t-test and ANOVA analysis. Result: The result of this study indicated that 62 metabolic syndrome patients in 2006 decreased into 53, and women were higher than men. The difference in the metabolic syndrome came from level of education, smoking, health practices, and past illness history. Conclusion: Therefore, the change of lifestyle needs to be induced by the level of education, and for the group of smoking, non-exercise, and past illness history not only regular checkups to prevent metabolic syndrome but also education to have interest on themselves may need intensively.

• Biomedical Science Letters
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• v.16 no.3
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• pp.169-177
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• 2010

Osteoporosis is a disease that increases the fracture rates and a major cause of increased mortality and morbidity in the elderly people. This study is to determine which components of body composition and metabolic syndrome risk factors are important to bone health, we analysed the relationship among bone mineral density (BMD), body composition and metabolic syndrome risk factors in females. Totally 630 females participated in a medical check-up program (mean age 47 years) were selected for this study. Body composition analysis was performed by segmental bioelectrical impedance method, muscle mass, and percent body fat were measured. We also measured metabolic syndrome risk factors including abdominal obesity, HDL-cholesterol, triglyceride, blood pressure and fasting glucose level. Metabolic syndrome was defined by NCEP-ATP III criteria. The lumbar spine and femoral neck BMD were measured using the dual energy X-ray absorptiometry. Osteopenia and osteoporosis were observed in 180 and 51 persons, respectively. Muscle mass and HDL-cholesterol decreased in osteopenia and osteoporosis groups compared to the control group, and the grade was shown progressively by the symptoms. Significant positive correlation between BMD and muscle mass was observed. Multi variable regression analyses showed that % body fat and muscle mass were independent predictors of BMD after adjustment of age, height and weight. In conclusion, the BMD showed negative correlation with the metabolic and body composition was associated with BMD.

• Journal of muscle and joint health
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• v.23 no.1
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• pp.1-8
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• 2016

Purpose: This study was to examine the effects of 12-week Tai Chi exercise on the autonomic nervous system activity and risk factors of metabolic syndrome in patients with metabolic syndrome. Methods: A single group pre-posttest was used. Subjects were 16 participants aged 51~71 years with metabolic syndrome. All of the subjects were met the criteria of the National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATP III). The Tai Chi exercise consisted of 19 movements from Yang and Sun styles provided twice a week for 3 months. Metabolic syndrome risk factors including waist circumference, blood pressure, glucose, triglyceride, high density lipoprotein cholesterol (HDL-cholesterol) were measured. A heart rate variability device was used to measure the activity of autonomic nervous system. Results: After 12-week Tai Chi exercise, systolic pressure, waist circumference, and HDL-cholesterol improved significantly. Tai Chi exercise had no effect on the autonomic nervous system activity. Conclusion: The 12-week Tai Chi exercise was partially effective in managing risk factors of metabolic syndrome. A larger study with longer period to improve the autonomic nervous system activity in patients with metabolic syndrome is needed.

• Research in Community and Public Health Nursing
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• v.26 no.2
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• pp.128-139
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• 2015

Purpose: The purpose of this study was to identify factors affecting health promotion behavior among workers with high risk of metabolic syndrome. This study was based on the planned behavior theory. Methods: The participants were 167 workers at high risk of metabolic syndrome. Data were collected using a structured questionnaire. Surveyed variables were attitude, subjective norm, perceived behavioral control, intention, and health promotion behavior. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and hierarchical regression analysis with SPSS/WIN 22.0. Results: Perceived behavioral control affected the intention of health promotion behavior among the workers with high risk of metabolic syndrome. It explained 62% of variance in the intention of health promotion behavior (F=40.09, p<.001). Perceived behavioral control and occupation affected health promotion behavior among the risk workers with high risk of metabolic syndrome. The two factors explained 16% of variance in health promotion behavior (F=4.95, p<.001). Conclusion: The findings of this study suggest that perceived behavioral control is the only factor affecting health promotion behavior when the theory of planned behavior was applied. Therefore, intervention programs for improving health promotion behavior should be focused on strengthening perceived behavioral control.

• Korean Journal of Adult Nursing
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• v.26 no.1
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• pp.67-77
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• 2014

Purpose: The purpose of this study is to investigate the prevalence of metabolic syndrome and its components and to examine the related factors in urban and rural community, South Korea. Methods: The data from the 5th Korea National Health and Nutrition Examination Survey (KNHANES-V) conducted in 2010 were utilized in this study. The subjects were 5,760 adults 20 years or over. The data were consisted with health survey questionnaire and health examination. $x^2$-test and logistic regression was used for the analysis SAS 9.3 applying sampling weights. Results: The prevalence of metabolic syndrome based on the latest definition proposed the joint scientific meeting was 23.4% and 29.0% respectively in urban and rural community. Rural community showed higher prevalence of abdominal obesity (29.9% vs 38.5%), elevated blood pressure (31.3% vs 38.5%), elevated blood glucose (24.3% vs 28.4%) than urban community. The related factors were age, marital status, high risk drinking, obesity in urban community and age, marital status high risk drinking, severe physical activity, obesity in rural community. Conclusion: This study showed there was difference in prevalence and the related factors of metabolic syndrome and these findings have important implications to prevent and manage metabolic syndrome in public health field.

• Journal of Korean Academy of Nursing
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• v.45 no.4
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• pp.483-494
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• 2015

Purpose: This study identified effects of dietary and physical activity interventions including dietary interventions or physical activity interventions alone or combined dietary-physical activity interventions to improve symptoms in metabolic syndrome including abdominal obesity, high triglycerides, low high density lipoprotein cholesterol, elevated blood pressure, and elevated fasting glucose through meta-analysis. Methods: Articles on metabolic syndrome X published from 1988 to 2013 were searched through electronic databases, Google Scholar, and reference reviews. Methodological quality was assessed by the checklist, SIGN (Scottish Intercollegiate Guidelines Network). Results: In the meta-analysis, there were 9 articles reporting 13 interventions with 736 participants. Using random effect models, the dietary and/or physical activity interventions showed a lower mean difference in waist circumference ( - 1.30 cm, 95% CI: - 2.44~ - 0.15, p=.027). The combined dietary-physical activity interventions showed a lower mean difference in waist circumference ( - 2.77 cm, 95% CI: - 4.77~ - 0.76, p=.007) and systolic blood pressure ( - 5.44 mmHg, 95% CI: - 10.76~ - 0.12, p=.044). Additionally, interventions of over 24 weeks yielded a lower mean difference in waist circumference ( - 2.78 cm, 95% CI: - 4.69~ - 0.87, p=.004) and diastolic blood pressure ( - 1.93 mmHg, 95% CI: - 3.63~ - 0.22, p=.026). Conclusion: The findings indicate that dietary and/or physical activity interventions for metabolic syndrome reduce central obesity with no adverse effects. This finding provides objective evidences for dietary and physical activity management on metabolic syndrome as an efficient intervention.

• Journal of Preventive Medicine and Public Health
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• v.45 no.3
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• pp.181-187
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• 2012

Objectives: Serum uric acid levels have been reported to be associated with a variety of cardiovascular conditions. However, the direct association between uric acid levels and metabolic syndrome remains controversial. Thus, we evaluated the association of serum uric acid levels and metabolic syndrome in a community-based cohort study in Korea. Methods: We performed cross-sectional analysis of baseline data of 889 males and 1491 females (aged 38 to 87) who participated in baseline examinations of the Korean Genome and Epidemiology Study: Kanghwa study. Blood samples were collected after at least an 8 hour fast. Uric acid quartiles were defined as follows: <4.8, 4.8-<5.6, 5.6-<6.5, ${\geq}6.5$ mg/dL in males; and <3.8, 3.8- <4.3, 4.3 - <5.1, ${\geq}5.1$ mg/dL in females. Metabolic syndrome was defined by the National Cholesterol Education Program Adult Treatment Panel III Criteria with adjusted waist circumference cutoffs (90 cm for males; 80 cm for females). The association between serum uric acid quartiles and metabolic syndrome was assessed using multivariate logistic regression. Results: The odds ratio for having metabolic syndrome in the highest versus lowest quartiles of serum uric acid levels was 2.67 (95% confidence interval [CI], 1.60 to 4.46) in males and 2.14 (95% CI, 1.50 to 3.05) in females after adjusting for age, smoking, alcohol intake, body mass index, total cholesterol, HbA1c, albumin, ${\gamma}$-glutamyltransferase, blood urea nitrogen, and log C-reactive protein. The number of metabolic abnormalities also increased gradually with increasing serum uric acid levels (adjusted p for trend < 0.001 in both sexes). Conclusions: Higher serum uric acid levels are positively associated with the presence of metabolic syndrome in Korean males and females.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.309-316
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• 2018

Purpose: This study was conducted to identify the prevalence and related factors of metabolic syndrome in Korean adolescents. Method: Based on data from the Korea National Health and Nutrition Examination Survey of 2015, 404 adolescents aged 12-18 years were enrolled. We used the adolescent Ford method as the diagnostic criteria for adolescent metabolic syndrome. The data were analyzed using descriptive statistics, t-test, $x^2$-test, and logistic regression with SPSS WINDOW 23.0 program. Results: The prevalence of metabolic syndrome in Korean adolescents was 6.5% (6.5% for boys and 6.4% for girls). Among metabolic syndrome components, the prevalence of elevated blood pressure (28.8%) was the highest, followed by elevated triglycerides (21.3%), increased waist circumference (14.1%), decreased high density lipoprotein-cholesterol (11.5%), and elevated fasting blood sugar (7.8%). The only factor associated with metabolic syndrome in both boys and girls was the Body Mass Index (BMI), and the likelihood of a metabolic syndrome increased by 1.6 to 2.3 times (Adjusted OR=1.552 to 2.313, p=0.001) as the BMI increased. Conclusion: Based on the results of this study, an intervention program should be developed and provided to maintain the BMI in the normal range for the prevention and management of metabolic syndrome in Korean adolescents.

• Journal of Preventive Medicine and Public Health
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• v.43 no.1
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• pp.1-8
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• 2010

Objectives: This study was performed to investigate if organochlorine pesticides (OCPs) were associated with metabolic syndrome and insulin resistance among non-diabetes. Methods: Among subjects who participated in a community-based health survey, 50 non-diabetic subjects with metabolic syndrome and 50 normal controls were selected. Insulin resistance was measured by the homeostasis model assessment (HOMA-IR). Eight OCPs were selected. Results: After adjusting for confounders except for body mass index (BMI), beta-hexachlorocyclohexane ($\beta$-HCH) and heptachlor epoxide were positively associated with metabolic syndrome. Odds ratios across tertiles of $\beta$-HCH and heptachlor epoxide were 1.0, 3.2 and 4.4, and 1.0, 4.0 and 6.0, respectively (p for trend = 0.01 and <0.01). After additional adjustment for body mass index (BMI), heptachlor epoxide still showed an increasing trend with adjusted odds ratios of 1.0, 4.1, and 4.6 (p for trend = 0.10). When the five components of metabolic syndrome (with the definition of high fasting glucose ($\geq$ 100 mg/dL) were separately analyzed, all components were positively, but not significantly, associated with heptachlor epoxide. As the serum concentration of heptachlor epoxide increased, HOMA-IR increased significantly in subjects with metabolic syndrome even after adjusting for BMI (p value <0.05 and <0.01). Conclusions: Despite the small sample size, this study suggests that the background exposure to some OCPs may be associated with metabolic syndrome.