HomeTopics › Body Mass Index

Body Mass Index

GMJ News knowledge hub · last reviewed September 2026 · Georgian Medical Journal

SummaryStatisticsGlossaryGMJ newsFAQDocumentsOrganizationsResearch

Body mass index is simultaneously a poor measure of any individual and a useful instrument for populations, and most of the argument about it fails to distinguish these two uses. It cannot separate fat from muscle, says nothing about fat distribution, misclassifies muscular individuals as overweight and normal-weight individuals with excess visceral fat as healthy, and was never designed as a clinical diagnostic tool (WHO). Its persistence reflects genuine practical advantages — it requires only height and weight, is reproducible across settings, and correlates well enough with adiposity at population scale to support surveillance and comparison. The substantive developments are threefold: WHO recommends lower BMI action thresholds for South Asian, Chinese and other populations in whom cardiometabolic risk rises at lower body weights; waist circumference and waist-to-height ratio add independent predictive value and are trivially easy to measure yet routinely omitted; and the 2025 Lancet Commission proposed replacing BMI-defined obesity with clinical obesity diagnosed by confirmed excess adiposity plus organ dysfunction, a genuinely significant reframing of what the diagnosis means.

Key messages

THE CORE DISTINCTION: poor for individuals, useful for populations
Most of the argument about BMI fails to separate two entirely different uses. As a population surveillance instrument it is defensible — cheap, reproducible, comparable across time and countries, and correlated well enough with adiposity at group level to track trends and compare regions. As an individual diagnostic it is weak: it cannot distinguish fat from muscle, says nothing about fat distribution, and misclassifies both muscular individuals and normal-weight people with excess visceral fat. Criticism that is valid for the second use is routinely applied to invalidate the first.
WHAT BMI ACTUALLY MISSES
Body composition: a muscular athlete and a sedentary person of the same height and weight receive identical scores. Fat distribution: visceral adipose tissue is metabolically active and far more strongly associated with cardiometabolic risk than subcutaneous fat, and BMI is blind to the difference. Normal-weight obesity — normal BMI with high body fat percentage and metabolic dysfunction — is common and entirely invisible. Age-related change: older adults lose lean mass while gaining fat at unchanged BMI. Origin: it was derived by Quetelet in the 1830s from data on European men and was never intended as a measure of individual health.
WHO RECOMMENDS LOWER THRESHOLDS FOR SOME POPULATIONS
Cardiometabolic risk rises at lower BMI in South Asian, Chinese, Japanese and several other Asian populations, reflecting higher body fat percentage and greater visceral adiposity at equivalent BMI. WHO has issued guidance supporting lower action points, with public health thresholds commonly applied at 23 for increased risk and 27.5 for high risk rather than 25 and 30. Applying European thresholds unmodified to these populations systematically under-identifies risk, and this is a concrete example of a measurement standard failing to transfer between populations.
WAIST CIRCUMFERENCE ADDS INDEPENDENT VALUE AND IS ROUTINELY OMITTED
Waist circumference and waist-to-height ratio capture central adiposity and predict cardiometabolic risk independently of BMI, adding information precisely where BMI is weakest. A waist-to-height ratio above 0.5 — the simple rule that waist should be less than half of height — performs well across populations, sexes and ethnicities without requiring separate thresholds. Both measures require only a tape measure and thirty seconds. Their near-universal omission from routine clinical practice, while BMI is calculated automatically, is difficult to justify on any grounds other than habit.
THE 2025 LANCET COMMISSION: clinical obesity as a diagnosis
A substantial reframing. The Commission proposed abandoning BMI-defined obesity as a diagnosis and distinguishing preclinical obesity — excess adiposity with preserved organ function, a risk state — from clinical obesity, defined as confirmed excess adiposity plus objective evidence of organ dysfunction or substantial limitation of daily activities. Confirmation requires either a second anthropometric measure alongside BMI, direct body fat measurement, or a very high BMI where excess adiposity can be assumed. This converts obesity from a category based on a number into a diagnosis based on demonstrated harm, with significant implications for treatment eligibility.
THE STIGMA DIMENSION IS REAL AND CUTS BOTH WAYS
Weight stigma in healthcare is well documented and causes measurable harm: delayed presentation, avoidance of care, misattribution of unrelated symptoms to weight, and worse outcomes independent of adiposity. That is a genuine argument for changing how weight is discussed. It is not an argument that adiposity is metabolically neutral, and the two propositions are frequently conflated in both directions — with critics using stigma to dismiss physiology, and clinicians using physiology to dismiss stigma. Both are true simultaneously, and holding both is the only defensible position.

Key statistics

1830s
Quetelet derived the index from European male data; never intended as an individual health measure
Historical
23 / 27.5
WHO-supported lower action points for many Asian populations rather than 25 and 30
WHO expert consultation
WHtR >0.5
waist-to-height ratio threshold performing consistently across sexes and ethnicities
NICE/meta-analyses
Normal-weight obesity
normal BMI with high body fat and metabolic dysfunction is common and invisible to BMI
Eur Heart J
Lancet 2025
Commission proposed clinical obesity defined by adiposity plus organ dysfunction, not BMI alone
Lancet Diabetes Endocrinol 2025
Documented harm
weight stigma in healthcare delays presentation and worsens outcomes independent of adiposity
Obesity Reviews

Body mass index — where the disagreement actually lies

Source: Bars show strength of supporting evidence. BMI is defensible for populations and weak for individuals; conflating the two drives most of the argument.

Glossary of key terms

Body composition measurement methods
Clinical measurement
Dual-energy X-ray absorptiometry is the practical reference standard, giving fat mass, lean mass and regional distribution with low radiation, though results vary between manufacturers and it is not portable. Bioelectrical impedance analysis is cheap and widely available but sensitive to hydration, recent food and exercise, and consumer devices vary considerably in accuracy. Air displacement plethysmography and hydrostatic weighing are accurate but confined to research settings. CT and MRI quantify visceral adipose tissue directly and are the true reference for fat distribution, but cost and radiation limit routine use. Skinfold calipers are operator-dependent. For most clinical purposes, BMI combined with waist circumference provides more information than any single sophisticated measure that is not actually available.
Visceral versus subcutaneous adipose tissue
Physiology
Visceral adipose tissue surrounding the abdominal organs is metabolically distinct from subcutaneous fat: it is more lipolytically active, drains directly into the portal circulation delivering free fatty acids to the liver, secretes a different profile of adipokines and inflammatory cytokines, and is far more strongly associated with insulin resistance, hepatic steatosis, dyslipidaemia and cardiovascular risk. This explains why two people with identical BMI can have entirely different metabolic profiles, why waist circumference adds predictive value, and why South Asian populations carry higher risk at lower BMI — they have greater visceral adiposity at equivalent weight. It also explains the metabolically healthy obesity phenotype, in which subcutaneous fat predominates, though longitudinal data suggest this state frequently converts over time.
The obesity paradox
Epidemiology
The repeated observation that among people with established heart failure, coronary disease, chronic kidney disease, COPD or cancer, those with higher BMI sometimes have better survival than those in the normal range. Several explanations account for most of it without any protective effect of adiposity: reverse causation, since serious illness causes weight loss; collider stratification bias, arising from conditioning on disease status; the inability of BMI to distinguish protective muscle mass from fat, with sarcopenia driving mortality in the low-BMI group; smoking, which lowers weight and raises mortality; and unmeasured confounding. The paradox is a useful teaching case in epidemiological bias, and it is frequently cited in popular argument as evidence that weight does not matter, which the analysis does not support.
Ethnic-specific thresholds
Global health
A WHO expert consultation examined evidence that Asian populations exhibit higher cardiovascular risk and type 2 diabetes prevalence at BMI levels below conventional thresholds, driven by higher body fat percentage and greater visceral deposition at equivalent BMI. The resulting guidance supports lower action points, widely operationalised at 23 for increased risk and 27.5 for high risk in South Asian, Chinese, Japanese and several other populations, and adopted in national guidelines including NICE. Comparable considerations apply in reverse for some populations with greater lean mass at given BMI. The broader principle matters beyond obesity: measurement standards derived in one population require validation before transfer, and the historical default of European-derived reference ranges is a recurring source of systematic misclassification.
The Lancet Commission on clinical obesity
Nosology
The 2025 Commission proposed distinguishing preclinical obesity — excess adiposity with preserved organ function, understood as a risk state warranting monitoring and risk reduction — from clinical obesity, a chronic illness defined by excess adiposity together with objective signs of reduced organ or tissue function, or substantial limitation of age-appropriate daily activities. Confirming excess adiposity requires BMI plus at least one additional anthropometric measure such as waist circumference or waist-to-height ratio, or direct body fat measurement, with BMI alone accepted only at very high values. The framework addresses two criticisms simultaneously: that BMI over-diagnoses in people without dysfunction, and that a purely anthropometric definition fails to identify who actually needs treatment. Implications extend to treatment eligibility, insurance coverage and trial design.
Weight stigma in healthcare
Ethics/Clinical practice
Documented consequences include delayed or avoided presentation, reduced uptake of screening including cervical and breast cancer screening, diagnostic overshadowing in which unrelated symptoms are attributed to weight, shorter consultations, less patient-centred communication, and reduced likelihood of appropriate investigation. Effects on outcomes appear partly independent of adiposity itself, mediated through avoidance and stress pathways. Practical mitigation includes appropriately sized equipment and seating, asking permission before weighing and before discussing weight, using person-first language, focusing on health behaviours and measurable outcomes rather than weight alone, and recognising that a patient presenting with an unrelated complaint has not asked for a weight consultation. None of this requires denying that adiposity affects health.

Latest GMJ coverage

AI agents AMIE and MIRA show promise in clinical decision-making, but clinical deployment remains years away
18/08/2026
Melatonin’s safety paradox: effective sleep aid undermined by unregulated product quality
08/08/2026
Correction issued for MAGE-A4/A8 immunotherapy trial in advanced solid tumours
14/07/2026
Medical Dosing Based on Race Lacks Scientific Evidence and May Harm Patients, NEJM Analysis Warns
13/06/2026
Vitamin D: Who Is Actually Deficient — and How Do You Know?
20/08/2026
Kwashiorkor: How Severe Protein Deficiency Disrupts Child Development
17/08/2026

Frequently asked questions 12 Q&A — structured for Google featured snippets and AI discovery

Knowledge hub: guidelines, conventions and reports

Organizations working in migration and health

Related health topics

ObesityGLP-1 therapies and obesity treatmentType 2 diabetes riskNutritionCardiometabolic riskWeight stigma and disordered eating

About this hub. Produced by the GMJ News Editorial Team as a public-good service. Every statistic is linked to its primary source. Documents are preserved in the GMJ Repository with full attribution. Georgian Medical Journal · Contact the editorial team
© 2026 GMJ News · PHIG · Sheni Network