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Global Obesity Estimates Maybe Wrong By Half A Billion

Global obesity estimates maybe wrong by half a billion

Global obesity rates

Adjusting BMI for a population’s basal slenderness gives each population a cutoff that reflects the amount of a person’s BMI that is due to body fat versus other body tissues

Standard methods for estimating obesity may grossly underestimate the burden of overweight worldwide, according to a paper published in Obesity Reviews. Associate professors, Daniel Hruschka of Arizona State University’s School of Human Evolution and Social Change and Craig Hadley of Emory University’s Department of Anthropology, are developing more accurate tools by taking a closer look at the different ways that people’s bodies are built in different places around the world.

Body Mass Index is the standard front-line tool for assessing body fat and for identifying people who are at greater risk of fat-linked diseases, like diabetes and cardiovascular disease. However, since BMI relies only on height and weight, it can mistake people who are naturally stocky and muscular as overweight. On the flip side, naturally slender individuals may be able to pack on a great deal of body fat before standard BMI cutoffs identify these slender individuals as overweight or obese.

Organisations in some countries, such as Japan and China, have begun to propose modified cutoffs for assessing obesity and obesity-linked risk that are more appropriate for more slender body builds often found in East Asia. However, there is still no clear consensus how to adjust BMI cutoffs to deal with these population differences worldwide.

In their paper, ‘How much do universal anthropometric standards bias the global monitoring of obesity and undernutrition?’, Hruschka and Hadley report data from a number of studies that these variations in human form are widespread and can be quite dramatic and that, by ignoring them, researchers underestimate adult obesity levels (by over 400-500 million). Given that these differences appear to arise early in childhood, they may also mis-prioritise high-risk areas for child undernutrition.

The researchers’ proposed solution to these biases relies on the idea of ‘basal slenderness’. This is the expected BMI in a population before it begins to add excess fat due to urbanisation, increasing opportunities for consumption of high-calorie foods and other changes due to modernisation.

Adjusting BMI for a population’s basal slenderness gives each population a cutoff that reflects the amount of a person’s BMI that is due to body fat versus other body tissues.

The benefits of using basal measurements are numerous: health researchers could better estimate the number of people who are overweight and underweight, thus allowing them to focus their efforts and resources on the regions most in need; physicians could more reliably evaluate their patients’ current and future health needs; and subsequent studies could yield more effective solutions for preventing obesity and undernutrition.

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