A new Obesity definition adds body fat distribution measures (like waist circumference) to BMI.
Under the traditional BMI-only definition (BMI ≥30), about 43% of US adults were classified as obese. However, under the new hybrid definition that incorporates body fat distribution measures, obesity prevalence jumped dramatically to 68.6% - nearly 70% of US adults
That’s an increase of approx 25.6% - meaning millions more Americans would be classified as having obesity under the new criteria.
https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2840138#google_vignette
Indian Context and Ground-reality:
NFHS-5 (2019-21) measured abdominal obesity using waist circumference for the first time, covering 636,699 households with 724,115 women and 101,839 men Obesity Management in Adults: A Review - PubMed.
NFHS-6 was conducted in 2023-24. so the fieldwork is complete. Typically, NFHS takes 1-2 years to process and publish results after fieldwork completion. While NFHS-5 (2019-21) collected waist measurements for the first time, the government decided to drop these measurements from NFHS-6
Budget Challenge:
Public health researchers have already raised concerns about inflated costs of NFHS, pointing out that higher budgets have not translated to better quality data. There are also serious issues with field researchers being poorly trained, underpaid and exploited, with violations of labor laws regarding payments, accommodation, and insurance
They’ve only measured
- Height and weight (for BMI)
- Blood glucose and hypertension
- Hepatitis B, C, and HIV (in subsample)
But Lancet Compliance would also need
- Direct body fat percentage (via BIA or DEXA)
- Waist-to-height ratio (though this can be calculated from existing data)
This is a major step backward in obesity surveillance in India, right when global standards are moving toward comprehensive body composition assessment. But this is also an opportunity for private players to build scalable solutions.