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Obesity and dyslipidemia are well-known contributors to cardiometabolic disorders, including cardiovascular events, chronic kidney disease, and non-alcoholic fatty liver diseases (NAFLD). Various anthropometric measurements to evaluate obesity, especially body mass index (BMI), waist circumference, and waist-to-height ratio (WHtR) have commonly been used to predict the risk of obesity-related comorbidities. In addition, several lipid-associated parameters, such as visceral adiposity index (VAI), triglyceride-glucose index (TyG index), triglyceride-to-high-density-lipoprotein-cholesterol (TG/HDL-C), and lipid accumulation product (LAP) have been adopted to estimate future cardiometabolic risk and even mortality. Nonetheless, further research is needed to determine the clinical use of these measures for cardiometabolic outcomes, and it is currently unknown which metrics or indices convey the highest risk of future cardiometabolic comorbidities and mortality.
Thinking on 20 watts -- The visible mind -- fMRI grows up -- Can fMRI read minds? -- How do brains change over time? -- Crimes and lies -- Decision neuroscience -- Is mental illness just a brain disease? -- The future of neuroimaging.