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Related Experiment Video

Updated: Jul 14, 2026

Study of In Vivo Glucose Metabolism in High-fat Diet-fed Mice Using Oral Glucose Tolerance Test (OGTT) and Insulin Tolerance Test (ITT)

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Inuit anthropometry and insulin resistance.

Guylaine Charbonneau-Roberts¹, T Kue Young, Grace M Egeland

¹School of Dietetics and Human Nutrition and Centre for Indigenous Peoples' Nutrition and Environment (CINE), McGill University, Montreal, Québec, Canada.

International Journal of Circumpolar Health

|May 23, 2007

Summary

Obesity in Inuit communities is rising. Anthropometric measures like body mass index and waist circumference can help assess insulin resistance and sensitivity, crucial for metabolic health in this population.

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Area of Science:

Public Health
Metabolic Health
Indigenous Health

Background:

Rising obesity rates among Inuit populations pose significant health challenges.
Insulin resistance is a key metabolic dysfunction linked to obesity.

Purpose of the Study:

To evaluate anthropometric correlates of insulin resistance and insulin sensitivity indices.
Assess the utility of body measurements in predicting metabolic health in Inuit adults.

Main Methods:

Cross-sectional health screening data from 52 Inuit adults (18+ years) in Nunavut, Canada.
Calculation of homeostasis model assessment index for insulin resistance (IR(HOMA)) and insulin sensitivity index (ISI(0,120)) for 45 participants.
Age-adjusted linear regression analyses using body mass index, waist circumference (WC), and percent body fat (%BF).

Main Results:

In women, body mass index, WC, and %BF predicted both IR(HOMA) and ISI(0,120).
In men, %BF predicted IR(HOMA), while WC and %BF predicted ISI(0,120).
All associations were statistically significant (p < 0.05).

Conclusions:

Anthropometric measurements are valuable tools for indirectly assessing insulin resistance and sensitivity in Inuit adults.
The study highlights potential future health consequences of increasing obesity rates in this population.
Early identification of metabolic risk through anthropometry can inform public health interventions.