Observational studyScientific reports2020
Assessment of a proposed BMI formula in predicting body fat percentage among Filipino young adults.
Observational study in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Overview of research and practice progress in body composition measurement techniques.Frontiers in medical technology · 2026Review
- Comparison of body adiposity index and body mass index for assessment of body fat percentage among office workers: A validation study.Pakistan journal of medical sciences · 2025Article
- Analysis of risk factors for post-thrombotic syndrome after thrombolysis therapy for acute deep venous thrombosis of lower extremities.International journal of cardiology. Cardiovascular risk and prevention · 2024Article
- Association between nutrient intake from vegetables and BMI category of in-school adolescents in urban and rural areas in Davao City, Philippines.Dialogues in health · 2023Article
- Article
- Equations based on body mass index for body composition estimations of women presenting grade III obesity.Revista de salud publica (Bogota, Colombia) · 2023Article
- Effect of High BMI on Human Bone Marrow-Derived Mesenchymal Stromal Cells.Cell transplantationArticle
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Body mass index (BMI), while routinely used in evaluating adiposity, cannot distinguish between fat and lean mass, and thus can misclassify weight status particularly among athletic, physically active, and tall- and short-statured individuals, whose lean-to-fat ratios and body proportions vary considerably from average individuals. Believing that the traditional BMI formula divides weight by too much with short people and by too little with tall people, University of Oxford professor L. N. Trefethen proposed a modified formula in computing BMI. This study was conducted among a sample of Filipino young adults (n = 190) to assess the performance of the modified BMI formula against the traditional one in: (1) predicting body fat percentage (%BF) measured using bioelectric impedance analysis, and (2) diagnosing overweight/obesity. Using robust polynomial regression analysis (covariates: age, waist circumference, smoking history and alcohol intake), the BMI quadratic models had the highest adjusted R
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