Diagnostic accuracy of different anthropometric indicators for detecting lipid profile alterations in the Peruvian population

Jamee Guerra Valencia, Cristian Rios-Escalante, Víctor Mamani-Urrutia

Research output: Contribution to journalArticlepeer-review

Abstract

Dyslipidemias are prevalent cardiovascular risk factors in Latin America. This study aimed to assess the diagnostic accuracy of anthropometric indicators in detecting lipid profile alterations in Peruvian individuals. A diagnostic test study with secondary analysis of the PERU MIGRANT study was conducted using index tests based on waist circumference and skinfold thickness. Outcomes included hypercholesterolemia, low HDL-c, elevated triglycerides, and high total cholesterol to HDL-c ratio (TC/HDL-c). Receiver operating characteristic curves and area under the curve (AUC) were assessed with optimal cutoff points determined by the Youden index, stratified by sex. A number of 972 participants were included. Waist circumference showed the highest AUC for hypercholesterolemia (0.65 in women, 0.67 in men). The waist-to-height ratio showed the highest AUC for elevated triglycerides (AUC: 0.66). For low HDL-c, waist-to-hip ratio in women (AUC: 0.62) and waist-to-height ratio in men (AUC: 0.65) performed best. Waist-to-height ratio demonstrated AUCs ≥0.70 for elevated TC/HDL-c ratio in both sexes, with waist circumference having an AUC of 0.71 in men. Waist-based tests demonstrated moderate to high diagnostic capabilities for lipid alterations, particularly for elevated TC/HDL-c ratio. Further research is needed to confirm these findings.

Original languageEnglish
Pages (from-to)264-274
Number of pages11
JournalRomanian Journal of Diabetes, Nutrition and Metabolic Diseases
Volume31
Issue number3
DOIs
StatePublished - 2024

Keywords

  • ROC curve
  • dyslipidemia
  • skinfold thickness
  • waist circumference

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