AI Article Synopsis
- Metabolic syndrome (MetS) is linked to various factors like genetics, diet, and lifestyle, increasing cardiovascular disease risk; this study aimed to assess different methods for estimating MetS in a public hospital in Yucatan, Mexico.
- A cross-sectional study involved 250 adults, using standard criteria and specific lipid parameters (LAP, CMI, CRI-I) to diagnose MetS; findings showed that 48% of participants had MetS, with high rates of overweight and obesity.
- The study concluded that the CMI and LAP are the most reliable indicators for diagnosing MetS in the adult population of Yucatan, with cut-off values varying by sex and age.
Article Abstract
Background: Metabolic syndrome (MetS) is a cluster of conditions that increases the risk of cardiovascular disease (CVD) and is related to genetic background, dietary habits, and lifestyle. Anthropometric indices and lipid parameters have been shown to be simple and useful tools in clinical practice for predicting MetS. The aim of the present study was to evaluate the differential magnitudes of anthropometric characteristics (waist circumference and body mass index [BMI]) and lipid parameters, namely, lipid accumulation product (LAP), cardiometabolic index (CMI), and Castelli Risk Index (CRI-I), to estimate MetS, usingappropriate cut-off values, among adults from a public hospital in Yucatan, Mexico.
Methods: A cross-sectional study among 250 adults (77 men, 173 women) was carried out in the Regional High Speciality Hospital of the Yucatan Peninsula (HRAEPY) in Merida, Yucatan. MetS was diagnosed using standard criteria (central obesity, arterial hypertension, hyperglycemia, and dyslipidemia), and derived parameters (LAP, CMI, and CRI-I) were calculated. Binary logistic regression analysis-based receiver operating characteristics (ROC) curves were used to predict MetS.
Results: Of the 250 participants, 48% had MetS. High prevalences of overweight (35.2%) and obesity (48.8%) were found in the sample. The CMI and LAP were found to be the best parameters in the prediction of MetS in men and women. The optimal cut-off values of the parameters were higher in men and decreased with advancing age.
Conclusion: The CMI and LAP were shown to be the most effective indicators to diagnose MetS among adults from Yucatan, Mexico.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7896767 | PMC |
| http://dx.doi.org/10.2147/DMSO.S281894 | DOI Listing |
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