The Relationship Between Body-Mass Index, Central Obesity and Asthma in Children
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Objective: We hypothesized that, compared with body mass index (BMI) alone, central obesity would provide added information regarding types of asthma (allergic, nonallergic) and asthma severity. Materials and Methods: A total of 150 children aged between 7-17 years with 50 allergic asthma, 50 nonallergic asthma and 50 controls were included in the study. Height, weight, waist and hip circumferences of the groups were measured. Waist-to-hip ratio and BMI were calculated. Pulmonary function test results were recorded. The relation between anthropometric measurements, asthma, atopy, obesity and each other was analyzed. Results: Obesity according to BMI was higher in the group with allergic asthma than nonallergic asthma and the control group (p: 0.014). A positive correlation was found between asthma and BMI percentile, BMI z score and waist-to-hip ratio (p: 0.002; 0.003; 0.040, respectively). Children with obesity according to waist circumference were more frequent in the groups with allergic and nonallergic asthma compared to the control group (p: 0.048). There was a significant relationship between asthma severity and central obesity (p: 0.048). FEV1 / FVC and FEF25-75 were lower in the asthmatic groups compared to the control group (p: 0.028; 0.012, respectively). Conclusion: This study showed that central obesity was associated with asthma and asthma severity, but not with atopy. More investigation is needed to clarify how central obesity in children affects the control of asthma and the response to asthma medication. Keywords: Childhood asthma, central obesity, waist-to-hip ratio, body mass indexKeywords:
Atopy
Waist–hip ratio
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.
Circumference
Waist-to-height ratio
Body volume index
Waist–hip ratio
Mass index
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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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Cross-sectional study
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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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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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The relationship between asthma severity and atopy is complex. Many studies have failed to show significant relationships between clinical severity or lung function and markers of atopic sensitisation.
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