THE BIG PICTURE2 MIN READ

Metabolic risk at a healthy BMI: what Indians should know

A healthy BMI can miss metabolic risk. Learn what waist measurements, glucose tests and family history add to the picture.

Put this into practice: Build your plate

Key takeaways

  • BMI is a screening tool; it cannot show where fat is stored or establish metabolic health.
  • South Asian ancestry can change the relationship between body size and diabetes risk.
  • Use your health history and several measurements together rather than seeking one perfect score.

A healthy BMI does not rule out diabetes or other metabolic problems. For Indian adults, the useful question is whether body size, fat distribution and blood tests tell the same story.

Someone can look slim, buy the same trouser size for years and still have a rising glucose result. That does not mean appearance is deceptive or that every slim person needs an extensive investigation. It means appearance answers a different question from a blood test.

What the research actually shows

A 2021 prospective comparison included 3,136 South Asian adults in India and Pakistan alongside US cohorts. South Asians had higher diabetes incidence than US white participants despite lower BMI, particularly in groups without obesity. The study also found differences in insulin secretion and sensitivity, so the explanation is more complicated than simply having too much hidden fat. Read the cohort study.

The SABRE cohort separately examined how fat distribution related to later diabetes. These are population findings. They help clinicians decide whom to assess; they cannot tell an individual how much visceral fat they carry or predict their future from ancestry alone.

Add context before adding tests

Start with what you already know: family history, previous gestational diabetes, blood pressure, medicines and changes in energy or weight. Bring earlier laboratory results to an appointment. A pattern across time is more useful than an isolated result remembered from a health camp.

Waist-to-height ratio can add a practical measure of central fat distribution. It still cannot measure liver fat or replace assessment. If you use it, follow a consistent measurement method rather than switching between the narrowest part of your waist and the belly button. Our waist-to-height guide explains the distinction.

Build a plan around what changes a decision

Ask your clinician which glucose and lipid tests fit your history, when to repeat them and what result would change treatment. Extra testing is useful when it answers a specific question. More numbers can otherwise create more uncertainty.

The same principle applies to daily habits. A walking routine you repeat and a meal you can assemble on a working day offer a clearer starting point than trying to optimise every marker at once. Judge progress through the measures you and your care team chose, not whether your body starts to match a particular silhouette.

Sources and further reading

  1. South Asian diabetes incidence: CARRS and ARIC cohort comparison (2021)
  2. Fat distribution and incident diabetes: SABRE cohort (2015)
  3. NICE: assessing central adiposity and measuring waist-to-height ratio

This article provides education. A qualified clinician can interpret your results and advise on diagnosis or treatment. Read our editorial approach.

Make this useful for your own routine

Explore our insulin resistance guide and the questions to discuss with your care team.

Read the insulin resistance guide

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