Relationship of the metabolic syndrome components with lipid indexes and anthropometric parameters in rural workers: exploratory factor analysis
DOI:
https://doi.org/10.17058/reci.v11i4.16685Keywords:
Síndrome metabólica, Antropometria, Índice, Saúde da População Rural, Trabalhadores ruraisAbstract
Background and Objectives: The search for simple and rapid screening indicators for metabolic syndrome (MS) is important due to its high frequency in the adult population. And this aspect is little explored in the rural Brazilian population. The objective of this study was to verify the relationship of SM components with lipid indices and anthropometric parameters in rural workers. Methods: Cross-sectional study with rural workers aged 18 years or older. The SM was determined by harmonized criteria. The fasting glucose (GLI), systolic (SBP) and diastolic (DBP) blood pressure, HDL-c and waist circumference (WC); anthropometric parameters: body mass index (BMI), waist/height ratio (WHtR) and body fat percentage (%F); and lipid indices: glycemic triglyceride index (TyG), lipid accumulation product (LAP) and visceral adiposity index (VAI). Exploratory factor analysis was performed that included, in model I, the anthropometric parameters and, in model II, the lipid indices. Results: the 167 workers, 21.0% were elderly (≥60 years), 39.5% were male and 61.1% had MS, with a higher prevalence in females. Model II responded to the higest explained variance (78.43%) including metabolic (VAI, LAP, TyG and TG and -HDL-c), cardiometabolic (SBP, DBP and CC) and glycemic factors. Model I explained 70.4% of the variance, which included excess weight, blood pressure and lipid/glycemic factors. Conclusion: the model that included the lipid indices explained the greatest variance observed and the VAI presented the most significant load of this factor.
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