You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Chemical"].

Please return the output as a JSON object of the format: {"Chemical": ["Arsenic", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Body composition assessment for the definition of cardiometabolic risk. Obesity is associated with a major prevalence of cardiovascular risk factors and high risk of cardiovascular events and contributes to the increase in cardiovascular morbidity and mortality worldwide. Beyond the fat mass per se, the pattern of fat distribution has a profound influence on cardiometabolic risk. The increase in abdominal adipose tissue confers an independent risk, while the amount of gluteofemoral body fat is thought to be protective. Changes in the capacity of different depots to store and release fatty acids and to produce adipocytokines are important determinants of fat distribution and its metabolic consequences. Because of the complexity of the assessment of body fat with imaging techniques, great attention has been paid to other measures of adiposity, such as waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR), which provide information on body fat distribution, although BMI is the established clinical measure to estimate the cardiovascular risk disease associated with excessive body weight. Abdominal obesity is a main predictive factor of the Metabolic Syndrome, so it is certain that it represents a better marker of cardiovascular risk than BMI. Visceral adiposity index (VAI) has recently proven to be a marker of visceral adipose distribution and function, associated with insulin sensitivity in patients at metabolic risk; however, the evidence needs to be further confirmed. In summary, BMI, WC, WHR, WHtR and VAI are all useful tools for assessing adiposity/obesity in clinical practice, and should be evaluated along with other cardiometabolic risk factors to define cardiovascular risk stratification.
{"Chemical": ["fatty acids"]}