Low Diagnostic Accuracy of Body Mass Index-Based and Waist Circumference-Based References of Childhood Overweight and Obesity in Identifying Overfat among Chinese Children and Adolescents
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Abstract:
This study aimed to investigate the diagnostic accuracy of body mass index- (BMI-) based and waist circumference- (WC-) based references for childhood overweight and obesity in screening overfat individuals among 2134 Chinese children and adolescents. In this study, overfat status was defined as over 25% body fat for boys and over 30% for girls. Childhood obesity or overweight was defined by four BMI-based references and two WC-based references. All BMI-based references for obesity showed low sensitivity (SE) (0.128–0.473) but high specificity (SP) (0.971–0.998) in detecting overfat individuals in the current population. SE values increased from 0.493 to 0.881 when BMI- and WC-based references for overweight were used to detect overfat individuals. All references for overweight showed high SP rates (0.816–0.966). To improve diagnostic accuracy for childhood obesity, further studies may define a cut-off value for childhood obesity specific for a local population and ethnicity by using health-related overfat data.Keywords:
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Waist-to-height ratio
Body volume index
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Objectives The aim of the current study is to generate waist circumference to height ratio cut-off values for obesity categories from a model of the relationship between body mass index and waist circumference to height ratio. We compare the waist circumference to height ratio discovered in this way with cut-off values currently prevalent in practice that were originally derived using pragmatic criteria. Method Personalized data including age, gender, height, weight, waist circumference and presence of diabetes, hypertension and cardiovascular disease for 847 participants over eight years were assembled from participants attending a rural Australian health review clinic (DiabHealth). Obesity was classified based on the conventional body mass index measure (weight/height 2 ) and compared to the waist circumference to height ratio. Correlations between the measures were evaluated on the screening data, and independently on data from the National Health and Nutrition Examination Survey that included age categories. Results This article recommends waist circumference to height ratio cut-off values based on an Australian rural sample and verified using the National Health and Nutrition Examination Survey database that facilitates the classification of obesity in clinical practice. Gender independent cut-off values are provided for waist circumference to height ratio that identify healthy (waist circumference to height ratio ≥0.45), overweight (0.53) and the three obese (0.60, 0.68, 0.75) categories verified on the National Health and Nutrition Examination Survey dataset. A strong linearity between the waist circumference to height ratio and the body mass index measure is demonstrated. Conclusion The recommended waist circumference to height ratio cut-off values provided a useful index for assessing stages of obesity and risk of chronic disease for improved healthcare in clinical practice.
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The objective of this study was to assess the correlation between waist circumference and waist hip ratio and body mass index. Also to assess if a simple measurement like the waist circumference can be used as an independent indicator for detecting health risk and management. 500 men and 500 women were included in this study from the out patient department and indoor wards of Medical College, Calcutta. Only 7% of the males and 16% of the females had body mass index > or = 25. About 50% of both males and females had waist hip ratio above the desirable range (0.80 for females and 0.95 for males). About 99% of females with, waist circumference > or = 72 cm. had either body mass index > or = 25 or high waist hip ratio > or = 0.80 or both. Similarly 99% of males with waist circumference > or = 80 cm. had either high body mass index > or = 25 or high waist hip ratio > or = 0.90 or both. Waist circumference is simple to assess and can be used as an independent measurement to identify those at risk from either increased body weight or central fat distribution or both.
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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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In today’s world limited data are available on adolescent obesity regarding the better predictor among various parameters of anthropometric parameters. The aim of this study was to investigate whether there is a correlation between the obesity and anthropometric parameters such as Body mass index, waist circumference, waist to height ratio and to find out which one is the better predictor of obesity among these parameters. A status study was designed under purposive sampling included 162 school going adolescents in urban areas of the Delhi, India in the year 2013-2014.In this study, the prevalence of obesity and overweight was found between 3.70% and 19.75% respectively. According to waist to height ratio analysis 36.42% and waist circumference 22.83% male adolescents were found obese. Body Mass index, Waist to height ratio and Waist circumference were significantly correlated with each other. It was concluded that waist to height ratio is a better predictor for the obesity than Body mass index and Waist circumference. Keywords : Body mass index, Waist height ratio, Obesity, Adolescents.
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