India introduces fat trax8/18/2023 Although there are many benefits to using BMI, particularly for population-based screening, evidence indicates the existence of obesity subgroups such as the metabolically healthy but obese, or the metabolically unhealthy but normal weight. In practice, obesity is defined using the body mass index (BMI) and stratified into categories according to the World Health Organization (WHO). Correctly identifying individuals with metabolic syndrome, or those at risk of developing its symptoms, is vital to ensure interventions and treatments can be prescribed as early as possible, improving clinical outcomes, reducing long term costs and maximising quality of life. Obese individuals are at a greater risk of developing metabolic syndrome, a cluster of conditions including dyslipidemia, insulin resistance and hypertension, and are associated with an increased risk of type-2 diabetes mellitus (T2DM) and cardiovascular disease (CVD). ![]() As of 2018, at least 30% of men and 35% of women were classified as obese in many countries worldwide. The prevalence of obesity continues to increase globally rates have doubled in over 70 countries since 1980. Future work must focus on fast, low-cost methods of capturing the shape of the body. Conclusions: Torso shape improves the performance of anthropometric predictive models, an important component of identifying metabolic syndrome risk. Results: Predictive models containing torso shape had an increased adjusted R 2 and lower mean square error when predicting body fat magnitude and distribution. Methods: From 93 male participants (age 43.1 ± 7.4) we captured anthropometrics and torso shape using a 3D scanner, body fat volume using an air displacement plethysmography device (BODPOD ®) and body fat distribution using bioelectric impedance analysis. We have assessed whether measures of torso shape (from 3D body scans) can improve the performance of models predicting the magnitude and distribution of body fat. However, body size is limited when trying to account for a diverse range of ages, body types and ethnicities. Traditional anthropometrics have some success in this, particularly waist circumference. Correctly identifying individuals at risk from metabolic syndrome is vital to ensure interventions and treatments can be prescribed as soon as possible. ![]() Obesity increases the risk of metabolic syndrome, a cluster of conditions associated with type-2 diabetes. Background: As obesity increases throughout the developed world, concern for the health of the population rises.
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