The high sensitivity C-reactive protein (hs-CRP) as one of the typical acute phase reactants is used for predictive factor of the cardiovascular disease and diabetes mellitus. In addition, there are claims that must be included as factors of metabolic syndrome. This research examined the relationship between the concentration of hs-CRP in blood and risk factors of the metabolic syndrome by gender, and the rates of metabolic syndrome depending on the hs-CRP level based on the general public who took the comprehensive medical check-up at Chonbuk National University Hospital in the Jeonbuk province. The subjects aged 17-87 years were participated, and 2,000 people were included as the final subjects except the persons with more than 10 mg/L of the hs-CRP of blood level. The hs-CRP concentrations increased according to the number of risk factors of metabolic syndrome in both men and women. In regards to the risk ratio of metabolic syndrome based on hs-CRP level in blood according to gender, the risk ratio increased by 3.07 times in male and 4.55 times in female intermediate risk group and 3.60 times in male and 6.15 times in female high risk group compared to hs-CRP low risk group. As a result, there was a proportional relation between hs-CRP level and the occurrence of metabolic syndrome, and it occurs more frequently among women than men.
Background and Objectives : The aim of this study is verify the correlation between benign laryngeal mucosal disease and metabolic syndrome. Materials and Method : Data for patients diagnosed with benign laryngeal mucosal disease and metabolic syndrome from 2006 to 2015 were selected for analysis from the National Health Insurance Service database. Results : The prevalence of Metabolic syndrome was 2,179,785 out of 6,437,051 patients (33.86%). The prevalence of benign laryngeal mucosal disease was 516,594 out of 6,437,051 patients (8.03%). Metabolic syndrome was a risk factor for benign laryngeal mucosal disease [hazard ratio: 0.99, 95% confidence interval: 0.984-0.997] after adjusting for age and other variables including age, gender, smoking status, alcohol intake, exercise, body mass index, and diabetes. The number of metabolic syndrome components was also risk factor. Conclusion : Metabolic syndrome was related to the incidence of benign laryngeal mucosal disease. However this correlation did not seem to be high.
Background: The purpose of this study was to evaluate the association between metabolic syndrome and periodontal disease in Korean adults. Methods: This study analyzed the screening data of 12,686 adults aged ≥19 years, including demographic characteristics, lifestyle habits, and each component of metabolic syndrome, obtained from the sixth Korea National Health and Nutrition Examination Survey database. Periodontal health status was measured by the community periodontal index. Subjects with three or more risk factors were considered as having metabolic syndrome. The Rao-Scott chi-square test was performed to assess the relationships between demographic characteristics, lifestyle habits, components of metabolic syndrome, and periodontal disease. Logistic regression analysis was performed based on the complex sample to evaluate the relationship between metabolic syndrome and periodontal disease. Results: The prevalence of periodontal disease was higher among the subjects with advancing age, lower average household income and education level, those working in production, residents of eup-myeon areas, in past or current smoker, those with excessive alcohol consumption habit in a week, and reduced brushing frequency and the use of oral care products (p<0.001). Each component of metabolic syndrome was associated with higher prevalence of periodontitis in the subjects with abnormal than in those with normal levels (p<0.001). The prevalence of periodontal disease in subjects with metabolic syndrome was approximately 1.443 times higher than that in normal subjects (odds ratio,1.443; p<0.001). Conclusion: This study confirmed the association between metabolic syndrome and periodontitis in Korean adults, and further studies will be needed to determine the causal relationship between the two conditions.
Purpose: The purpose of this study is to estimate the prevalence of the metabolic syndrome in pre-menopausal housewives and to explore controllable and uncontrollable factors regarding metabolic syndrome. Methods: The study population of this cross-sectional survey was from the Korean Health and Nutrition Examination Survey (KHANES) 2010 through 2015, including the fifth and sixth population-based studies. The criteria for metabolic syndrome include waist circumference, blood pressure, fasting plasma glucose, triglyceride, high-density lipoprotein (HDL) based on Korean Clinical Practice Guideline for Metabolic Syndrome by the Korean Academy of Family Medicine 2015. Results: Among the 2,498 subjects, 247 subjects had metabolic syndrome and the prevalence was estimated to be 9.9%. The number of subjects who met the criterion of HDL was 936 (36.2%), which was the most prevalent among the criteria for metabolic syndrome. Statistically significant (p<.05) factors include age, livinghood benefit group, perceived health status, obesity, family history of DM, sleeping time, awareness of stress,leukocyte, and erythrocyte count. The odds ratio of obesity in the BMI ${\geq}25$ group was 12.59 times as high as that of the BMI <25 group (p<.001) for metabolic syndrome. Conclusion: The prevalence of metabolic syndrome in pre-menopausal housewives in the survey was not low, and it is necessary to develop and apply comprehensive health habit management programs to improve controllable factors including exercise and food intake.
Objectives: This study set out to investigate the relationship among the factors of metabolic syndrome diagnosis criteria, their risk factors including general characteristics, and the distribution of the diagnosis criteria and risk among the adult residents of a rural community. Methods: Among 1,968 residents, those who had three or more of the risk factors of metabolic syndrome, which include blood pressure, blood glucose, triglyceride, abdominal obesity, and HDL-C, were categorized as the metabolic syndrome group. And their correlations were analyzed. Results: As for the risk ratio with five factors of the metabolic syndrome diagnosis criteria, it was high according to age and smoking. In addition, the results show that body fat percentage, hs-CRP, insulin, BMI, PP2, total cholesterol, and W/Ht also had much impact on increasing the risk ratio of the metabolic syndrome diagnosis criteria. It turned out that metabolic syndrome was affected by the body mass index(BMI), insulin, waist to height ratio(W/Ht), and hs-CRP. It was 2.51 times crude odds ratio that BMI over the 25kg/m2 in the ratio of the fact of metabolic syndrome and adjusted for sex odds ratio 2.50times and W/Ht was 3.31times, adjusted for sex odds ratio 3.25 times. Conclusion: BMI, W/Ht and smoking of the general characteristics seem to have close relationships with high correlations between the metabolic syndrome diagnosis criteria and the risk factors. Thus there is an urgent need to evaluate them and take interventions and monitoring measures for the clustering of risk factors.
This study aimed to examine associations between milk intake and metabolic syndrome. The subjects included 1,928 males and 3,103 females, aged 19 to 64 years, from the data of 'The Korean National Health and Nutrition Survey 2007-2010'. Daily intake of milk and dairy products was obtained by a 24 hour dietary recall method and divided into two categories by equivalent weight of one serving. The average individual intakes of milk and dairy products were 59.4 g and 74.1 g per day respectively. Milk intake was inversely associated with metabolic syndrome (OR: 0.69, 95% CI: 0.54~0.89), central obesity (OR: 0.75, 95% CI: 0.62~0.91), and hypertriglyceridemia (OR: 0.73, 95% CI: 0.59~0.90). The total intake of dairy products was also inversely associated with metabolic syndrome (OR: 0.74, 95% CI 0.60~0.92), central obesity (OR: 0.73, 95% CI: 0.62~0.86), hypertension (OR: 0.80, 95% CI: 0.65~0.99). The association between intakes of milk and dairy products and metabolic syndrome was significant in women, but not in men. These results indicate that increased consumption of milk and its products is associated with a reduced likelihood of metabolic syndrome and metabolic syndrome risk factors. Further research on causal relationship and dose-response association between milk intake and metabolic syndrome risk is necessary prior to applying the observed results in nutrition policies and programs to prevent the metabolic syndrome.
Ku, Min-Ju;Shin, Kyung-A;Ko, Kwang-Jun;Oh, Jae-Keun
대한의생명과학회지
/
제18권1호
/
pp.63-70
/
2012
The research is performed in order to know the relationship between the metabolic syndrome and the physical fitness targeted for menopausal women (over 45 years). All subjects were divided into 4 groups; group without risk factors of metabolic syndrome (MS-0: n=74), group having one risk factor of metabolic syndrome (MS-1: n=68), group having two risk factors of metabolic syndrome (MS-2: n=44), and group having more than three risk factors of metabolic syndrome (MS ${\geq}$ 3: n=30). All groups' height, weight, body mass index and percent of body fat were measured. High density lipoprotein cholesterol (HDL), triglyceride, glucose and blood pressure (BP) levels were measured. Their cardiorespiratory ($VO_2max$) endurance, muscular strength, muscle endurance, and flexibility were measured. HDL, triglyceride, glucose and BP levels in MS-1, MS-2, and MS ${\geq}$ 3 group were significantly greater than those of MS-0 group. The endurance ($VO_2max$) in MS ${\geq}$ 3 group was higher than that of MS-0 group. Multiple regression with the risk factors of metabolic syndrome and the physical fitness showed a statistical significance in only $VO_2max$. We found that the risk factors of the metabolic syndrome adversely affect postmenopausal women's $VO_2max$ and that a decreased $VO_2max$ may have prognostic value for the prediction of metabolic syndrome.
Pupose. This study aimed to analyze the relationship between metabolic syndrome and glaucoma in a middle-aged men over the age of 40's by using the data from the 5th Korean National Health and Nutrition Examination Survey(2010~2012). Methods. The subjects for the analysis were comprised of 410 patients who were at least 40 years or more with metabolic syndrome and glaucoma. The comparison between the metabolic syndrome and glaucoma according to the health demographic characteristics, health behavior and health conditions was analyzed with ${\chi}^2$-test. The complex samples logistic regression analysis was used to calculate the odds ratio of glaucoma according to the health demographic characteristics, health behavior and health conditions and the combination of the comprising factors of the metabolic syndrome. Results. The prevalence of glaucoma among the subjects with metabolic syndrome and glaucoma was significantly higher in the case of females, as their age increased, educational level decreased, income level decreased, who are non-smokers, non-drinkers, with exercising habits of less than 3 days a week (p<0.001). However, the glaucoma OR was significantly high in case of increasing age, with exercising habits of less than 3 days a week, and hypertension (p<0.01), while the OR was significantly low in case of the drinking group (p<0.05). The results of analyzing the odds ratio for the occurrence of glaucoma with the components of metabolic syndrome showed that the OR for glaucoma is significantly low (OR 0.63) in case of concurrently high fasting blood glucose, high triglycerides and low HDL cholesterol levels (p=0.05). Conclusions. Therefore the thorough management of metabolic syndrome and components is needed to prevent glaucoma.
Objectives: This study was conducted to survey the related factors of metabolic syndrome of Chinese workers aged 20 years and above. Methods: The study was conducted at three locations in Shandong, China, currently working and took the physical examination (PE) within one year in the area as target participants. Personal characteristics, physical and biochemical results based on the PE, lifestyle habits, and food intake of the participants were used to analyze the relationship with metabolic syndrome. Results: Results showed that overall, thirty-one subjects (22.5%) had metabolic syndrome, twenty males (32.7%) and eleven females (14.2%). Metabolic syndrome was related to age, gender, educational level and occupational type with more risk in male (P < 0.05), people of older age (P < 0.001), low educational level (P < 0.05) and non-office workers (P < 0.01). According to the life style scores, lifestyle evaluation showed specifically alcohol consumption and smoking (P < 0.001) and stress management (P < 0.05) as important factors that were associated with the metabolic syndrome. High calorie (P < 0.01) and carbohydrate (P < 0.01) intakes were observed on male participants with metabolic syndrome in comparison to the non-metabolic syndrome but no significant difference on female participants. Conclusions: This results of this study can be used as significant supporting data to prevent and control metabolic syndrome in Chinese workers.
BACKGROUND/OBJECTIVES: Obesity and alcohol drinking are associated with metabolic syndrome. However, few studies show the relationship between alcohol drinking and metabolic syndrome according to varying degrees of obesity. This study aimed to determine the association between alcohol drinking and metabolic syndrome in obese and non-obese Korean male adults. SUBJECTS/METHODS: This cross-sectional study included 5,867 males aged ${\geq}20$ years who were examined at the Soonchunhyang University health promotion center during June 2008-December 2010. The subjects were divided into non-obese (body mass index [BMI] < $25kg/m^2$) and obese (BMI ${\geq}25kg/m^2$) groups and further divided according to weekly alcohol consumption into nondrinking (0 drinks/week), moderate drinking (${\leq}14$ drinks/week), and heavy drinking (> 14 drinks/week) groups. The subjects were also categorized into binge drinking and non-binge drinking groups. To obtain odds ratios (ORs) for metabolic syndrome, binary logistic regression analysis was performed. RESULTS: The overall metabolic syndrome prevalence was 27.3% (12.8%, non-obese group; 50.4%, obese group). After adjusting for age, physical activity, and smoking, in the non-obese group, the OR for heavy drinking with binge drinking (reference: nondrinking) was 1.56 (95% confidence interval [CI] = 1.12-2.18), with a significant increase in metabolic syndrome prevalence. In the obese group, the OR for heavy drinking with binge drinking was 1.42 (95% CI = 1.07-1.88), showing a significant increase in metabolic syndrome prevalence (P < 0.05). CONCLUSIONS: In both non-obese and obese Korean males, heavy drinking with binge drinking was associated with increased risk of metabolic syndrome. Thus, both non-obese and obese males should restrict their alcohol intake and not indulge in binge drinking.
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