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Related Experiment Video

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[Not Available].

Francisco Javier Guzmán de la Garza1, Ana María Salinas-Martínez, Eduardo González-Guajardo

  • 1Unidad de Investigación Epidemiológica y en Servicios de Salud. Instituto Mexicano del Seguro Social. Monterrey, N.L. Mexico. fcojguzman@hotmail.com.

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Summary
This summary is machine-generated.

Sagittal abdominal diameter (SAD) thresholds were identified for screening cardio-metabolic risk in Mexican adults. Combining SAD with waist circumference (WC) and body mass index (BMI) enhances cardio-metabolic risk detection.

Keywords:
Sagittal abdominal diameter. Threshold limit values. Risk factor. Cardiovascular disease. Metabolic syndrome.

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Area of Science:

  • Cardiology
  • Endocrinology
  • Public Health

Background:

  • Sagittal abdominal diameter (SAD) is a proposed screening tool for cardio-metabolic risk factors.
  • Threshold values for SAD can significantly influence its accuracy in risk assessment.

Purpose of the Study:

  • Determine optimal SAD threshold values for cardio-metabolic risk factors in Mexican adults.
  • Evaluate if parallel and serial SAD testing improve waist circumference (WC) sensitivity and specificity.
  • Analyze the combined effect of SAD, WC, and body mass index (BMI) in detecting cardio-metabolic risk.

Main Methods:

  • A cross-sectional study in Northeast Mexico (2012-2014) involving 269 adults.
  • Collected anthropometric, clinical, and biochemical data.
  • Utilized sex-adjusted receiver-operating characteristic curves and logistic regression to determine thresholds and analyze risk.

Main Results:

  • Identified SAD thresholds: 24.6 cm for men and 22.5 cm for women for acceptable sensitivity and specificity.
  • Parallel SAD testing enhanced WC sensitivity; serial testing improved WC specificity.
  • Co-occurrence of high WC/high SAD increased insulin resistance risk 2.4-fold; high BMI/high SAD increased risk 4.3-fold.

Conclusions:

  • Integrating SAD with WC and BMI offers advantages over using these indices individually.
  • SAD shows potential as a powerful screening tool for identifying high-risk individuals for targeted interventions.