Evidence map›Paper›PMID 42237838›Full record

ArticleThe Indian journal of medical research2026

Untangling weight from height: A generalised body mass index (gBMI) approach to evaluating child and adolescent nutritional status in India.

Rajesh Majumder, Anura Viswanath Kurpad, Harshpal Singh Sachdev, Rebecca Kuriyan, Tinku Thomas, Santu Ghosh

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Article in The Indian journal of medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Rajesh MajumderDepartment of Biostatistics, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Anura Viswanath KurpadDepartment of Physiology, St John's Medical College, Bengaluru, Karnataka, India.
Harshpal Singh SachdevDepartment of Pediatrics, Sitaram Bhartia Institute of Science and Research, New Delhi, India.
Rebecca KuriyanDivision of Nutrition, St John's Research Institute, Bengaluru, Karnataka, India.
Tinku ThomasDepartment of Biostatistics, St John's Medical College, Bengaluru, Karnataka, India.
Santu GhoshDepartment of Biostatistics, St John's Medical College, Bengaluru, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives Weight-for-height (WHZ) and body mass index (BMI)-for-age (BAZ) are commonly used to assess child overnutrition but have limitations: they conflate skeletal growth with body weight, correlate with height, and inadequately distinguish fat from lean mass, particularly during puberty. This study proposes an India-specific generalised body mass index (gBMI), an age- and sex-specific power-type index adapted from Benn's concept, to better capture adiposity. Methods Exponent parameters for gBMI were estimated using healthy-child data, selected by WHO selection criteria, from the National Family Health Survey (NFHS-3,4,5) and the Comprehensive National Nutrition Survey (CNNS), comprising 12,466 children under 5 years and 6,487 aged 5-19 years. Polynomial regression to model age- and sex-specific variation in the weight-height relationship was used to estimate the exponents of height, and growth curves were generated using generalised additive models for location, scale, and shape (GAMLSS) with location scale and shape (LMS) methods. Validation employed independent data from 457 urban schoolchildren aged 5-16 years in Bengaluru, including fat and lean mass measured by dual-energy X-ray absorptiometry (DXA). Results The exponent varied with age (1.3 in infancy, ∼2.9 in pubertal boys, 2.7 in girls, stabilising at ∼2 in late adolescence). Unlike BMI, gBMI residuals showed near-zero correlation with height. gBMI-for-age Z-scores (gBAZ) showed lower wasting in children under 5 years (10.7% vs. 19.2% using WHZ) and higher adolescent overnutrition (8.7% vs. <1% using BAZ). Validation showed stronger association of gBAZ with body fat (r=0.70) than BAZ (r=0.65). Interpretation and conclusions The gBMI provides an adaptable, height-independent, and adiposity-sensitive index for assessing malnutrition and obesity in children and adolescents. Its use could refine nutritional surveillance and interventions, with potential wider applicability with longitudinal evaluations.

Indexed as

Body HeightBody WeightNutritional StatusObesityAbsorptiometry, PhotonAdiposityAdolescentBody Mass IndexChildChild, PreschoolFemaleHumansIndiaMaleNutrition SurveysYoung AdultAnthropometryBMIgBMIObesityZ-score

Identifiers

PMID42237838
PMCPMC13235558

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