Relationship between Changes in Components Associated with Metabolic Syndrome and Disappearance, or Remission, of Metabolic Syndrome during 1 Year
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OBJECTIVES: Prior research has focused on the relationship between weight change and incidence of metabolic syndrome. Change in body mass index (BMI), components of metabolic syndrome and metabolic syndrome status were investigated over 1 year of follow-up. Methods: Subjects with metabolic syndrome from a community health screening project were recruited. Logistic regression was used to analyse the disappearance or remission of metabolic syndrome during 1 year according to changes in BMI, waist circumference, triglycerides, blood pressure, high-density lipoprotein-cholesterol (HDL-C) and fasting plasma glucose (FPG). Results: The study included 490 subjects with metabolic syndrome. After 1 year, metabolic syndrome had disappeared in 30.0% (147/490) of subjects. Decreased triglycerides, blood pressure and HDL-C were significantly associated with the 1-year disappearance of metabolic syndrome, whereas BMI, waist circumference and FPG levels were not. Conclusions: Short-term weight reduction has no impact on the status of metabolic syndrome. The disappearance of metabolic syndrome was common during a 1-year follow-up. This finding might impact on the treatment and management of people with metabolic syndrome.Purpose: Obesity and overweight are associated with variety of conditions detrimental to health, wellbeing and longevity. Waist circumference and waist to hip ratio are indicators of risk of central adiposity while body mass index is an indicator of overall risk of obesity. Body mass index has been traditionally used as a standard for determining overweight and obesity. This study was designed to determine the relationship between waist circumference, waist to hip ratio and body mass index among female undergraduates of a Nigerian University. Also prevalence of obesity based on waist circumference, waist to hip ratio and body mass index was explored. Methods: Three hundred and sixty four apparently healthy subjects were recruited for the study using a cross-sectional simple random sampling technique. Waist circumference, waist to hip ratio and body mass index were determined using standard methods. Descriptive statistics were used to summarize the physical characteristics of the participants. Pearson correlation coefficient was used to analyze the relationship between waist circumference, waist to hip and body mass index. Results: The mean age, waist circumference, waist to hip ratio and body mass index of the participants were 22.5 (±2.20) years, 79.36 (±10.4) cm, 0.81 (±0.06), and 22.48 (±4.50) kg/m2 respectively. The prevalence of obesity based on body mass index, waist circumference and waist to hip ratio was found to be 6.3%, 17.6% and 25.5% respectively. Significant relationship was found between waist circumference and body mass index (r = 0.81; p< 0.001), and between waist to hip ratio and body mass index (r = 0.25; p< 0.001). Conclusions: Body mass index was related to waist circumference, as well as to waist to hip ratio. The prevalence of obesity based on waist to hip ratio was highest among female undergraduates in a Nigerian university. Awareness on the importance of waist to hip ratio as indicator of risk of obesity should be created among female undergraduates in Nigerian Universities and by extension among the women population in general.
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The aim of the study was to assess the relationship between age and obesity, to assess waist circumference and obesity. This type of quantitative research uses a cross-sectional design. The sample is 161 respondents. Data was collected using a questionnaire and measuring body mass index. Data were analyzed using the Pearson correlation test and linear regression analysis. The results showed that there were 144 respondents (89.4%) in the 18 - 25 year age category, 13 respondents (8.1%) for Body Mass Index for the first obesity category, 12 respondents (7.5%) for obesity II. There is a relationship between age and waist circumference with a p-value of 0.0001, there is a relationship between age and body mass index with a p-value of 0.0001. There is a relationship between age and body weight with a p-value of 0.001. Age is a risk factor for waist circumference, BMI, weight and hearing. As you get older, your waist circumference increases, your BMI increases, your weight increases and your age decreases your hearing ability. An obesity risk factor is age
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Objective: This study was carried out on different populations of genetic and physical conditions to confer the relationship between genetic polymorphisms and the body mass index(BMI) and waist circumference(WC).And on this basis,this study observes the impact of the changes of FTO gene polymorphism of people with different levels of physical activity on the body mass index(BMI) and waist circumference(WC),so as to understand the interaction of genetic and environmental effects on physical condition,and provide theoretical guidance of developing physical health research.Method: The FTO variant rs1121980 was genotyped in 20,774 participants(39~79 y of age) from the Han population in Northern China,an ethnically homogeneous population based cohort physical activity(PA) was assessed with a validated self reported questionnaire.The interaction between rs1121980 and PA on body mass index(BMI) and waist circumference(WC) was examined by including the interaction term in mixed effect models.Result: It confirmed that the risk(T) allele of rs1121980 was significantly associated with BMI and WC.The PA level attenuated the effect of rs1121980 on body mass index(BMI) and waist circumference(WC);Conclusion: the results showed that PA attenuates the effect of the FTO rs1121980 genotype on body mass index(BMI) and waist circumference(WC).This observation has important public health implications because it shown that a genetic susceptibility to obesity induced by FTO variation can be overcome,at least to some extent,by adopting a physically active lifestyle.
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Objective
To investigate the prevalence of metabolic syndrome and appropriate cut-off point of waist circumference of abdominal obesity for components of metabolic syndrome in Uygur population in Xinjiang.
Methods
A questionnaire-based survey, physical examination, and blood testing were conducted according to cluster random sampling in Uygur residents above 18 years old in Xinjiang. There were 3 542 samples collected, based on the International Diabetes Federation (IDF) standard of metabolic syndrome, the relativities of clustering of metabolic syndrome components and different strata of waist circumference for Uygur were analyzed, and looking for the appropriate cut-off points for identifying two or more components of metabolic syndrome within the shortest distance of receiver operating characteristic (ROC) curve.
Results
According to IDF standard, the waist circumference (85 cm for men, 82 cm for women) corresponded to the shortest distance in ROC curve, at these cut-offs of abdominal obesity for component of metabolic syndrome, the prevalences of metabolic syndrome were 21.3%, 19.5% in men, while 23.0% in women, the prevalence of women was higher than that of men (P<0.05). The prevalences of ≥1, ≥2 components of metabolic syndrome were shown an increasing trend with the increasing size of waist circumference, and the odds ratio of clustering of metabolic syndrome components were also increased significantly.
Conclusion
The prevalence of metabolic syndrome among Xinjiang Uygur population was higher than that of national level. The cut-off points of waist circumference (85 cm for men, 82 cm for women) combining other components definition of IDF standard were recommended for identifying metabolic syndrome of Uygurs. (Chin J Endocrinol Metab, 2018, 34: 211-216)
Key words:
Metabolic syndrome; Uygur; Component of obesity; Cut-off points of waist circumference; Prevalence rate
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This article outlines the clinical values and limitations of body mass index and waist circumference for nutritional assessment among obese individuals and emphasizes the importance of combining these two parameters for diagnosis of obesity.
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Objective: It has been reported in coronary heart disease (CHD) patients that mortality is inversely associated with body mass index (BMI), and directly associated with waist circumference (WC). The purpose of this study was to examine the association of the general obesity parameter (BMI) and the adipose tissue discriminator (WC) with cardiovascular risk in patients with CHD established by coronary angiography. Design and method: To the PROGNOSIS (Prognostic Value of Ambulatory Blood Pressure Monitoring in Patients with Coronary Artery Disease Confirmed by Angiography) study there were included 1345 subjects with CHD. A multivariate COX proportional regression model adjusted for potential confounders was used to assess the relative risk of total and CV mortality according to the parameters of general obesity (BMI) and adipose tissue distribution (WC). The mean age of subjects was 63.2 ± 9.2 years, and 57% were men. Results: There was direct relationship between WC and both total mortality (HR 1.03 (CI 1.01–1.10), p < 0.01) and CV mortality (HR 1.03 (CI 1.01–1.07), p < 0.03), but an inverse relationship between BMI and both total mortality (HR 0.91 (CI 0.86–0.98), p < 0.03) and CV mortality (HR 0.97 (CI 0.87–0.99), p < 0.05). After combining WC with BMI, the group of subjects with BMI <25 kg/m2 and WC >=104 cm had the highest rates of both total and CV mortality of all CHD patients. Conclusions: Assessment based on a combination of WC and BMI is superior to assessment based on a separate estimation of these parameters in both total and CV mortality risk evaluation.
Obesity paradox
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Objective:This study was carried out on groups of different physical condition,exploring the relationship between changes of gene polymorphism and BMI(body mass index)and WC(waist circumference).And on the basis it explores the effect of different levels of physical activity on BMI and the crowd WC.Method:The Han population in northern China in the subjects(age 39~79 years) were assessed for physical activity(PA),and the subjects(subjects are from the same ethnic group)height,weight,waist circumference and other indices were measured.Effects of physical activity on body mass index and waist circumference(WC) were analyzed.Conclusion:The physical activity significantly reduced the effects on BMI and WC.The effect of BMI and WC of the inactive group is greater than the active group.The findings have great in promoting significance public health,which shows that the increase in body mass index and waist circumference can be controlled lifestyle physical activity.
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Abstract Body mass index (BMI) is typically used to define overweight and obesity. However, without waist circumference information, BMI may misclassify as overweight or obese. Therefore, we proposed a new index based on BMI. We developed a New Body Mass Index (NBMI) by adding waist circumference (WC) to BMI, which combined BMI and WC. That is, it also combined weight-for-height and waist-to-height ratios. The formula is: NBMI = BMI × WC (m) = WT (kg) / HT (m 2 ) × WC (m) = WT (kg) / HT (m) × WC (m) / HT (m) = weight-for-height × waist-to-height. Firstly, individuals with the same height and weight have the same BMI, but their waist circumferences could vary considerably, and NBMI could distinguish body differences among people's waist sizes. Secondly, NBMI could better identify central obesity than BMI. Thirdly, NBMI could not only measure body mass but also classify health and obesity degrees according to a wide range of scores. Firstly, NBMI incorporating WC could better reflect the body difference in waist size than BMI. Secondly, NBMI is more convenient for identifying central obesity. Thirdly, NBMI could better classify different weight types by expanding the score range.
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Metabolic syndrome is increasing among adolescents. We examined the utility of body mass index (BMI) and waist circumference to identify metabolic syndrome in adolescent girls.We conducted a cross-sectional analysis of 185 predominantly African American girls who were a median age of 14 years. Participants were designated as having metabolic syndrome if they met criteria for 3 of 5 variables: 1) high blood pressure, 2) low high-density lipoprotein cholesterol level, 3) high fasting blood glucose level, 4) high waist circumference, and 5) high triglyceride level. We predicted the likelihood of the presence of metabolic syndrome by using previously established cutpoints of BMI and waist circumference. We used stepwise regression analysis to determine whether anthropometric measurements significantly predicted metabolic syndrome.Of total participants, 18% met the criteria for metabolic syndrome. BMI for 118 (64%) participants was above the cutpoint. Of these participants, 25% met the criteria for metabolic syndrome, whereas only 4% of participants with a BMI below the cutpoint met the criteria for metabolic syndrome (P <.001). Girls with a BMI above the cutpoint were more likely than girls with a BMI below the cutpoint to have metabolic syndrome (P = .002). The waist circumference for 104 (56%) participants was above the cutpoint. Of these participants, 28% met the criteria for metabolic syndrome, whereas only 1% of participants with a waist circumference below the cutpoint met the criteria for metabolic syndrome (P <.001). Girls with a waist circumference above the cutpoint were more likely than girls with a waist circumference below the cutpoint to have metabolic syndrome (P = .002). Stepwise regression showed that only waist circumference significantly predicted metabolic syndrome.Both anthropometric measures were useful screening tools to identify metabolic syndrome. Waist circumference was a better predictor of metabolic syndrome than was BMI in our study sample of predominantly African American female adolescents living in an urban area.
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