• Journal of Information Technology Applications and Management
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• v.30 no.1
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• pp.71-80
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• 2023

The purpose of this study is to promote understanding of physical activity and metabolic syndrome in middle-aged adults and to provide basic data of interventions development for the prevention and management of metabolic syndrome. Using the 2020 data for Korea National Health and Nutrition Examination Survey, 1,786 middle-aged adults between the ages of 40 and 64 with no missing data were analyzed. As a result of the study, 56.5(±2.1)% of men and 52.9(±1.81)% of women were sufficient activity group among physical activity, and the proportion of men was higher than that of women, but it was not statistically significant(t=1.27, p=.207). The prevalence of metabolic syndrome was 38.9(±2.1%) of men and 25.4(±1.5)% of women, the prevalence of men was significantly higher than that of women(t=5.12, p<.001). Compared to the insufficient activity group, the sufficient activity group had a 0.71(95% CI: 0.57~0.88) times the risk of developing low HDL(high density lipoprotein)- cholesterol(p=.002), and this pattern was maintained even after adjusting for age, education level, body mass index, smoking status, and drinking status(p=.002). Based on the results of this study, a physical activity and metabolic syndrome risk group in middle-aged adults should be selected, and physical activity promotion program to improve high density lipoprotein-cholesterol among metabolic syndrome indicators should be developed.

• Korean Journal of Occupational Health Nursing
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• v.29 no.1
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• pp.69-77
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• 2020

Purpose: The prevalence of metabolic syndrome (MetS), a cluster of metabolic abnormalities has rapidly increased in Korea. Sleep may play a role in determining its prevalence. However, the relationships between MetS and the duration and quality of sleep are not yet clear. This study aimed to examine the associations between the duration and quality of sleep and the prevalence of MetS. Methods: Study participants included 348 Korean blue-collar workers employed by six small-sized companies in Korea. The data were collected using an interviewer-administered questionnaire, and logistic regression analysis was conducted to estimate the effects of the factors related to MetS. Results: The multiple logistic regression analysis revealed that the independent factors that contributed to the prevalence of MetS were being male (adjusted odds ratio [aOR]=4.87, 95% confidence interval [CI]=1.58~15.0) and lower sleep quality (aOR=5.12, 95% CI=1.90~14.30). Sleep duration was related to the prevalence of some MetS components, but it was not associated with MetS prevalence. Conclusion: Sleep quality was negatively associated with MetS prevalence when covariates, such as sleep duration, were controlled. When developing a MetS risk-reduction program, focus should be given to sleep quality as well as sleep duration in an intervention for Korean blue-collar workers.

• 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 muscle and joint health
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• v.30 no.3
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• pp.179-188
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• 2023

Purpose: This study was conducted to investigate the prevalence and related factors of metabolic syndrome in postmenopausal adult women in South Korea. Methods: Data of 678 postmenopausal adult women aged 19 to 64 were collected from the Eighth Korea National Health and Nutrition Examination Survey in 2021 and analyzed by a complex sampling design using SPSS 20.1. Results: The prevalence of metabolic syndrome in postmenopausal adult women was 25.8%. The prevalence was 1.93 times (confidence interval [CI]=1.15~3.25, p=.014) higher for high school graduates, 2.55 times (CI=1.33~4.91, p=.005) higher for middle school graduates, and 2.90 times (CI=1.36~6.15, p=.006) higher for elementary school graduates, compared to college graduates. It was found that artificial menopausal women had 2.74 times (CI=1.18~6.38, p=.020) higher prevalence than natural menopausal women. In addition, women who perceived their health as bad were 1.90 times (CI=1.14~3.16, p=.014) higher than women who perceived their health as good, and women who did not muscle exercise more than twice a week had 1.87 times (CI=1.05~3.34, p=.034) higher prevalence than women who did muscle exercise. Conclusion: Therefore, in order to effectively prevent and manage metabolic syndrome in postmenopausal adult women, a focus must be placed on vulnerable groups to manage these factors.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.10
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• pp.4999-5002
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• 2012

Introduction: There is epidemiological evidence indicating that the metabolic syndrome increases the risk of colorectal cancer. Since there is little information about this issue in Iran, the present study was conducted to evaluate prevalence of metabolic syndrome and its components in patients with colorectal cancer. Material and Methods: This cross-sectional survey involved 200 patients with a new diagnosis of colorectal cancer. Demographic information of patients was collected through the interview with them. Components of metabolic syndrome including fasting glucose serum, triglyceride, high density lipoprotein, blood pressure and waist circumference were measured for all of the patients. Results: A total of 72 colorectal cancer patients (36%) met metabolic syndrome criteria with rates of 76% for women and 24% for men. BMI in metabolic syndrome patients was higher than other colorectal cancer patients. Disease history including hypertension, diabetes and cardiovascular disease was most frequent in metabolic syndrome patients. Pathological characteristics of colorectal cancer were not significantly associated with the disease. Conclusion: The findings of present study indicated that the prevalence of metabolic syndrome in CRC patients is relatively high. Therefore, further analytical and multi centric studies are needed to better understand the role of metabolic syndrome in development of CRC in Iran. If this association is confirmed in future studies, metabolic syndrome patients should be considered in CRC screening programs.

• The Journal of the Korea Contents Association
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• v.15 no.6
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• pp.314-325
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• 2015

The goal of this study was to evaluate the relationship between metabolic syndrome risk factors and health promotion behavior in general hospital nurses. Data were conducted using a structured questionnaire survey with 450 registered nurses in a general hospital in Gyeonggido. Data were collected from October 6 to October 31, 2014. The data were analyzed using SPSS/WIN 21.0. version. The overall prevalence of metabolic syndrome was 8.0% for nurses at a general hospital. The mean score of Health promotion lifestyle profile was 2.53( range: 1.22~3.44). The high prevalence risk groups for metabolic syndrome was between 26 and 30 yr of age, ICU nurses and drinking one or two times/1wk. The study indicates that hospital administrators should focus on job circumstances of nurses(especially nurses classified as high prevalence risk for metabolic syndrome) for improvement and prevention of MS prevalence risk.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.153-162
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• 2016

The aim of this study was to estimate the prevalence of the metabolic syndrome risk factors for adults in the general population, understand the relationship of each factor with the obesity indicators, and examine the relevance and validity for predicting the metabolic syndrome in obese indicators. The study subjects were 1,051 adults aged 20 years and over, who underwent a health package check-up at the Korea Association of Health Promotion, D-branch from Feb. to Nov. 2014. As a result, the prevalence rates of metabolic syndrome of the study subjects were 21.5%, and the prevalence rates of the metabolic risk factors were as follows: 31.8% of men and 41.6% of women for abdominal obesity; 35.6% of men and 17.3% of women for TG; 17.6% of men and 34.2% of women for HDL-C; 53.5% of men and 35.9% of women for blood pressure; and 14.9% of men and 6.8% of women for FBS. The prevalence rates of metabolic syndrome were significantly higher in the older age group, in the group with the higher BMI, and in the group of higher level of drinking frequency. In the predictive indicators of obesity on metabolic syndrome risk factors, the waist / height ratio was higher than other indicators. Conclusively, WHtR appeared to be a useful indicator to show abdominal obesity and is better in selecting metabolic syndrome patients compared to other obesity indicators.

• Journal of Community Nutrition
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• v.6 no.3
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• pp.141-145
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• 2004

The purpose of this study was to explore the relationship between life style and metabolic syndrome. The cross-sectional survey was conducted in Pingliang community in Shanghai in Jan 2003. The data was collected by questionnaire, and the results were analyzed by SPSS. It was found that the prevalence of Metabolic Syndrome (MS) was $13.4\%$ in the community, and the body mass index (BMI), waist-to-hip ratio (WHR), systolic blood pressure (SBP), diastolic blood pressure (DBP), serum triglyceride (TG), total cholesterol(TC), low density lipoprotein-cholesterol (LDL-C), and fast plasma glucose (FPG) in MS group were higher than that in non-MS group. Logistic regression analysis indicated that BMI and WHR were positively correlated to the prevalence of MS, and physical activity was negatively correlated to the prevalence of MS. People with higher education levels (${\geq}10y$) had lower BMI, SBP, DBP, LDL-C and FPG. The prevalence of MS in the higher education level group was significantly lower than that of the lower education level group. These results suggested that BMI, WHR and physical activity were important factors of MS, and education background played an important role in the occurrence of MS. Therefore, it is very important to build a healthy life style for preventing and controlling the incidence and developing of MS.

• Journal of Nutrition and Health
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• v.44 no.5
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• pp.406-415
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• 2011

Recent studies have shown that high consumption of processed meat may be associated with increasing risk of metabolic syndrome, which have been suggested as a predictor of diabetes and cardiovascular disease. However, limited studies have investigated this association in Korean population. The purpose of this study was to investigate the cross-sectional association between processed meat/unprocessed (beef, pork, chicken) intakes and the prevalence of metabolic syndrome. Using data from 2007-2008 Korean National Health and Nutrition Examination Survey (KNHANES), we analyzed data including 5,545 men and women who were aged older than 20 years, and who were free of chronic disease such as hypertension, type 2 diabetes and cardiovascular disease. Subjects who frequently consumed processed meat tended to be younger and more likely to be current smokers. In addition, men were more likely to consume processed meat than women. Although higher processed/unprocessed meat intakes were significantly associated with the lower risk of metabolic syndrome in a crude model, these associations were no longer significant after adjustment for potential confounding factors. For example, comparing subjects in the highest intake quartile of processed meat with the lowest intake group, the multivariate-adjusted odds ratio (OR) of metabolic syndrome was 0.92 (95% CI: 0.58-1.46) for processed meat, 1.09 (95% CI: 0.76-1.56) for beef, 1.10 (95% CI: 0.74-1.62) for pork and 0.75 (95% CI: 0.51-1.12) for chicken. In conclusion, we found no evidence of any adverse effects of frequent processed or unprocessed meat intakes on the prevalence of metabolic syndrome among Korean adults at the exposure levels seen in this study.

• Journal of Korean Academy of Nursing
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• v.39 no.4
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• pp.594-601
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• 2009

Purpose: The goal of this study was to evaluate the impact of life style characteristics on the prevalence risk of metabolic syndrome (MS). Methods: A total of 581 adults were recruited from a cardiovascular outpatient clinic. A newly developed comprehensive life style evaluation tool for MS patients was used, and patient data related to the MS diagnosis were reviewed from the hospital records. Results: The overall prevalence of MS was 53.2%, and the mean of MS score was 2.6 for patients at a cardiovascular outpatient clinic (78% of the patients had hypertension). Dietary habits among the life style characteristics had significant influence on the prevalence risk of MS and MS scores. And also interestingly, the classification and regression tree (CART) model suggested that the high prevalence risk groups for MS were older adults (61.5$\leq$age<79.4), and adults between 48.5 and 61.5 yr of age with bad dietary habits. Conclusion: This study indicates that nurses should focus on dietary habits of patients (especially patients classified as high prevalence risk for MS) for improvement and prevention of MS prevalence risk.