Why the study?
Does the choice of cutoff points (NCEP/ATP III vs Lemieux et al) affect the estimated prevalence of the hypertriglyceridemic waist phenotype in primary care patients?
Does the choice of cutoff points (NCEP/ATP III vs Lemieux et al) affect the estimated prevalence of the hypertriglyceridemic waist phenotype in primary care patients?
The prevalence of the hypertriglyceridemic waist phenotype varies significantly depending on the cutoff criteria used, highlighting the need for population-specific thresholds.
HTGW prevalence varies by cutoff in primary care; leaves open optimal thresholds for cardiometabolic risk screening.
Objective: We aimed to evaluate the prevalence of hypertriglyceridemic waist (HTGW) phenotype among users of primary health care using two different cutoff points used in the literature. Methods: We evaluated adults and elderly individuals of both sexes who attended the same level of primary health care. HTGW phenotype was determined with measurements of waist circumference (WC) and triglyceride levels and compared using cutoff points proposed by the National Cholesterol Education Program – NCEP/ATP III (WC ≥102 cm for men and ≥88 cm for women; triglyceride levels ≥150 mg/dL for both sexes) and by Lemieux et al (WC ≥90 cm for men and ≥85 cm for women; triglyceride levels ≥177 mg/dL for both). Results: Within the sample of 437 individuals, 73.7% was female. The prevalence of HTGW phenotype was high and statistically different with the use of different cutoff points from the literature. The prevalence was higher using the NCEP/ATP III criteria compared to those proposed by Lemieux et al (36.2% and 32.5%, respectively, p <0.05). Individuals with the presence of the phenotype also presented alterations in other traditional cardiovascular risk markers. Conclusion: The HTGW phenotype identified high prevalence of cardiovascular risk in the population, with higher cutoff points from the NCEP/ATP III criteria. The difference in frequency of risk alerts us to the need to establish cutoff points for the Brazilian population.
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Braz et al. (2017) studied this question.
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