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Cut-off values of anthropometric indices to determine insulin resistance in Pakistani adults

Amina Nadeem1, Abdul Khaliq Naveed2, Muhammad Mazhar Hussain3

  • 1Department of Physiology, Army Medical College, National University of Sciences and Technology, Islamabad, Pakistan. nadeemamina@yahoo.com

JPMA. the Journal of the Pakistan Medical Association
|January 8, 2014
PubMed

Insights

Body mass index best indicates insulin resistance in Pakistani men, while conicity index is best for women. This study establishes non-invasive anthropometric measures for identifying insulin resistance in Pakistan.

Area of Science:

  • Endocrinology
  • Metabolic Syndrome
  • Public Health

Background:

  • Insulin resistance is a growing health concern, particularly in South Asia.
  • Identifying reliable, non-invasive markers for insulin resistance is crucial for early detection and management.
  • Anthropometric indices offer a potentially accessible method for assessing metabolic health.

Purpose of the Study:

  • To establish cut-off values for anthropometric indices indicating insulin resistance in Pakistani adults.
  • To determine the correlation between various anthropometric indices and insulin resistance.
  • To provide evidence for non-invasive screening tools for insulin resistance in the Pakistani population.

Main Methods:

  • A cross-sectional study involving 209 Pakistani adults was conducted.
  • Measurements included body mass index (BMI), waist circumference, waist-to-hip ratio, waist-to-height ratio, and conicity index.
  • Insulin resistance was determined using the triglyceride/high density lipoprotein ratio, with Receiver Operating Characteristics (ROC) curve analysis employed to identify predictive values and cut-off points.

Main Results:

  • Body mass index (BMI) demonstrated the highest predictive value for insulin resistance in males (cut-off: 25.04 kg/m², sensitivity: 68%, specificity: 62%).
  • In females, the conicity index showed the maximum predictive value (cut-off: 1.39, sensitivity: 65%, specificity: 50%).
  • Waist circumference and waist-to-height ratio were also significant predictors in both genders.

Conclusions:

  • Body mass index (BMI) is the most effective anthropometric indicator of insulin resistance in Pakistani adult males.
  • Conicity index serves as the best indicator for insulin resistance in Pakistani adult females.
  • This study is the first in Pakistan to report predictive values of anthropometric indices as a non-invasive method for identifying insulin resistance.
Abstract

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