Sentence examples for misclassification of obesity from inspiring English sources

Stommel and Schoenborn (2009) compare self-reported and recorded BMI using US data and find a substantial amount of misclassification of obesity status when using self-reported BMI, particularly in the extreme (over – or underweight) categories.

To describe the misclassification of obesity based on BMI criteria, in women with similar fat mass but differing lean mass levels, and to describe how the misclassification relates to circulating serum leptin, high sensitive C-reactive protein (hsCRP) and interleukin-6 (IL-6).

Therefore, the use of BMI may result in misclassification of obesity [ 23].

We investigated the degree of misclassification of obesity and undernutrition owing to inaccurate height estimates used in BMI calculations among the elderly in Southern Sweden.

Body fatness was measured by BIA, a more accurate measure than BMI (Roubenoff 1996), reducing the likelihood of misclassification of obesity status.

The degree of misclassification of obesity and undernutrition among elders owing to inaccurate height measurements is investigated using height predicted by knee height (KH) and demispan equations.

As previously described, BMI does not take into consideration muscle mass loss, exacerbating misclassifications of sarcopenic obesity [ 51].

Using self-reported data could introduce misclassification for obesity.

In conclusion, there is an age-related misclassification of undernutrition and obesity among the elderly.

There is an age-related misclassification of undernutrition and obesity attributed to inaccurate height estimation among the elderly.

Our results confirm these recent data, highlighting the problem of obesity misclassification by BMI, especially in women subjects.