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.
Heart rate recovery (HRR) immediately after a treadmill exercise test is a function of vagal reactivation. A delayed heart rate recovery is associated with an increased risk for overall cardiovascular mortality. The purpose of this study is to find out if metabolic syndrome is associated with autonomic nerve function and exercise capacity in healthy adults. We measured the treadmill exercise capacity (METs) and heart rate recovery in 119 subjects through a medical checkup at $J$ General Hospital. The metabolic syndrome was defined according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) criteria. The value for the HRR was defined as the difference between the heart rate obtained during the peak exercise and the heart rate obtained at first minute during the recovery period. The subjects with the metabolic syndrome had significantly lower exercise duration ($9.6{\pm}1.5$ vs $8.7{\pm}1.4$), METs ($11.6{\pm}1.7$ vs $10.4{\pm}2.5$), and HRR ($37.5{\pm}14.3$ vs $27.1{\pm}8.9$). The waist circumference in subjects with the metabolic syndrome was more strongly correlated with HRR ($r$=-.517, $P$ <.001) than in normal subjects. Furthermore, delayed HRR was associated with high resting heart rate and increased waist circumference ($P$=.032, $P$ <.001, respectively). In conclusion, delayed HRR during the first minute after a treadmill exercise test was associated with the metabolic syndrome risk factors. Delayed HRR was also associated with high resting heart rate and increased waist circumference.
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.
This research aimed to identify the correlation between the metabolic syndrome, which is one of the cardiovascular risk factors and emerging as an issue in the society, and the serum uric acid level. The research was conducted on a total of 1,444 patients who took a medical examination at a health examination center. The research subjects were composed of 977 men and 467 women. By conducting physical measurement and the blood test on the subjects, the research identified the correlation between the serum uric acid level and the metabolic syndrome and compared the number of the risk factors by dividing the class of the serum uric acid. The average level of serum uric acid was identified higher in men at $6.30{\pm}1.39mg/dL$ than $4.43{\pm}0.89mg/dL$ in women. Men had a correlation between age, waist size, systolic blood pressure, neutral fat, HDL-cholesterol, WBC count and ESR and the serum uric acid level (p<0.05), while women had a correlation between waist size, diastolic blood pressure level, neutral fat, HDL-cholesterol and ESR and the serum uric acid level (p<0.05). The number of the risk factors depending on the serum uric acid level increased as the serum uric acid level rose. The overall prevalence rate of the metabolic syndrome was higher in men at 17.4% than 10.2% in women. This showed that there is a statistically relevant relevance between the metabolic syndrome and the serum uric acid level, and the number of the risk factors of the metabolic syndrome will go up with an increase in the serum uric acid level.
The purpose of this study was to investigate the prevalence and differences of risk factors of Metabolic syndrome according to menopausal status. From the database of the 5th Korea National Health and Nutrition Examination Survey (KNHANES V) conducted in 2012, data of 3,537 women who responded to health interview and health examination questionnaires. The presence of Metabolic syndrome was assessed using the International Diabetes Federation (IDF) criteria. The prevalence of Metabolic syndrome was 17.3% in premenopause and 54.3% in postmenopause. BMI, waist circumference, blood pressure, total cholesterol, LDL cholesterol, triglyceride, and Ferritin were higher in postmenopausal women compared to premenopausal women. However, postmenopausal women had lower HDL cholesterol and TIBC when compared to premenopausal women. Hypertension was the most prominent characteristic of postmenopausal women. Low HDL cholesterol showed up as a meaningful factor in premenopausal women. According to multiple regression analysis, waist circumference, fasting glucose, and HDL cholesterol were independent predictors of menopause. Therefore, obesity control and blood lipids management is recommended for postmenopausal women.
Journal of the Korean Society of Food Science and Nutrition
/
v.39
no.4
/
pp.511-517
/
2010
This study was performed to estimate the prevalence and the risk factors of metabolic syndrome in Andong rural area. A total of 1,431 people (533 males, 898 females) aged over 45 years participated in this study in 2003. The prevalence of metabolic syndrome was 38.2% (male 23.5%, female 46.9%, p<0.001). As age increased, the prevalence of the metabolic syndrome increased in female, but not in male. The major underlying components of metabolic syndrome were high blood pressure (67.1%), low HDL-cholesterol (60.6%), and abdominal obesity (39.9%). The distinctive component for male was high blood pressure (70.1%), and for female, low HDL-cholesterol (73.6%), high blood pressure (65.3%), and abdominal obesity (54.5%). Subjects having more than one component were 94.7%. The risk factors for metabolic syndrome were analyzed using the multiple logistic regression method according to gender and expressed as age-adjusted odds ratio (OR). The results of comparing female to male (OR=2.953), and of comparing obese by % body fat (M: OR=5.786, F: OR=13.498) or BMI (M: OR=3.782, F: OR=13.301) to normal body weight showed significantly higher risk for metabolic syndrome (p<0.001). Health related habits, such as smoking, alcohol drinking, and exercise, didn't show any effect on metabolic syndrome. This study revealed that the prevalence of metabolic syndrome was significantly higher in female subjects compared to both male and female, and high blood pressure was the main cause of metabolic syndrome. We suggest that the strategy for prevention or reducing the prevalence of metabolic syndrome in this area should be concentrated on reducing high blood pressure through lowering obesity and abdominal obesity.
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.
Purpose: This study was conducted to identify the factors associated with obstructive sleep apnea (OSA) risk in patients with metabolic syndrome (MS). Methods: Patients with MS between 30 and 74 years of age were recruited in an outpatient clinic of a cardiovascular center in Seoul, South Korea. MS and the risk of OSA were evaluated by Berlin questionnaire survey, the medical records of the participants were reviewed and a comprehensive lifestyle survey was performed. SPSS WIN 21.0 was used for statistical analysis. Results: BMI (OR: 1.31, CI: 1.14-1.51, p<.001) and lifestyle score (OR: 0.96, CI: 0.93-0.99, p=.028) were associated with the risk of OSA. Physical activity, weight control and diet were specifically associated with the risk of OSA after controlling for age, gender and BMI. Conclusion: This study demonstrated that lifestyle was an important factor associated with OSA risk in patients with MS.
The purpose of this study was to find out the effects of a 12-week aerobic exercise plus lifestyle modification on obese-induced metabolic syndrome in obese adolescent girls. A total of 52 obese adolescent girls (13-14 years old; body mass index (BMI) ${\geq}$95th percentiles for age and sex) purposely assigned to aerobic exercise group (AEG, n=15), aerobic exercise plus lifestyle modification group (ALG, n=18), or control group (CG, n=19). The AEG completed 12 weeks of walking exercise (30-60 min/day, 65-75% HRmax, 6 days/week), the ALG completed 12 weeks of walking exercise (30-60 min/day, 65-75% HRmax, 6 days/week) and behavior modification (60 min/day, 1 day/week), and the CG continued their normal life. The presence of the metabolic syndrome and component risk factors were determined before and after 12-week programs. The total prevalence of the metabolic syndrome was 48.1% in this sample (25/52) of participants at baseline. After the programs the prevalence of the metabolic syndrome was improved in the AEG and ALG 33.3, 27.8%, respectively. Group analyses showed significant difference in risk factors of the metabolic syndrome such that the AEG and ALG had significantly greater improvements in waist circumference, triglycerides, blood glucose and systolic blood pressure than the CG, while there were no significant difference in HDL cholesterol and diastolic blood pressure. Also there was no group difference between AEG and ALG in all measured metabolic risk factors after the programs. These results indicate that the positive changes of the ALG were not associated with lifestyle modification (behavior modification) but associated with aerobic exercise. However, long-term follow up studies are necessary to clarify the additive effect of the behavior modification on the metabolic syndrome.
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.
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