Abstract
Metabolic syndrome (MS) directly increases the risk of cardiovascular diseases. Childhood and adulthood have been the most studied in MS, leaving aside the young adult population. This study aimed to compare the epidemiological probabilities between MS and different anthropometric parameters of body composition. Using a cross-sectional study with the sample of 1351 young adults, different body composition parameters were obtained such as Waist Circumference (WC), Body Mass Index (BMI), Body Fat% (BF%), Waist-to-Height Ratio (WHtR), and Waist-Hip Ratio. The Bayes Theorem was applied to estimate the conditional probability that any subject developed MS with an altered anthropometric parameter of body composition. Areas under receiver operating characteristic curves (AUCs) and adjusted odds ratios of the five parameters were analyzed in their optimal cutoffs. The conditional probability of developing MS with an altered anthropometric parameter was 17% in WHtR, WC, and Waist-hip R. Furthermore, body composition parameters were adjusted by age, BMI, and gender. Only WHtR (OR = 9.43, CI = 3.4–26.13, p < 0.0001), and BF% (OR = 3.18, CI = 1.42–7.13, p = 0.005) were significant, and the sensitivity (84%) and the AUCs (86%) was higher in WHtR than other parameters. In young adults, the WHtR was the best predictor of metabolic syndrome.
Highlights
Metabolic syndrome (MS) is a clinical condition that includes multiple cardiovascular disease risk factors, like obesity, high blood pressure or hypertension, dyslipidemia, and abnormal glucose metabolism, which directly increase the risk of coronary heart disease, atherosclerotic cardiovascular disease, and type 2 diabetes mellitus (DM2) [1,2]
The Waist-to-Height Ratio (WHtR) was the best predictor of metabolic syndrome
Height, Waist Circumference (WC), body mass index (BMI), BF%, and Waist–Hip R were statistically different in men and women (All p < 0.0001)
Summary
Metabolic syndrome (MS) is a clinical condition that includes multiple cardiovascular disease risk factors, like obesity, high blood pressure or hypertension, dyslipidemia, and abnormal glucose metabolism, which directly increase the risk of coronary heart disease, atherosclerotic cardiovascular disease, and type 2 diabetes mellitus (DM2) [1,2]. The most studied populations are children (aged 6–12 years) and adults (aged > 25 years), but young adults (18–25 years) have been omitted since they may be studied in the future. It is believed that the prevalence of MS in young adults has increased, but there is no reliable data [5], and predictors have been sought that are associated in a simple way with the detection of some metabolic disorder [6].
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