Observational studyJournal of cachexia, sarcopenia and muscle2025
Association of a Combined Body Mass Index and Regional Body Fat Percentage Metric With Fragility Fracture Risk: Evidence from a Large Observational Cohort.
Observational study in Journal of cachexia, sarcopenia and muscle, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Article
- Regional fat distribution as a novel predictor of fracture risk in inflammatory bowel disease: a DXA-based cohort study.BMJ open gastroenterology · 2026Article
- Adipose Tissue and Lipid Dysregulation Contributions to Cachexia, Sarcopenia and Muscle Function.Journal of cachexia, sarcopenia and muscle · 2026Article
- Independent and synergistic associations of cumulative body roundness index and its variability with fragility fracture risk.Lipids in health and disease · 2026Article
- Deprivation indices and their association with fragility fractures and bone density: evidence from a large observational cohort.Rheumatology (Oxford, England) · 2026Observational
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Authors and funding
4 authors.
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Abstract
backgroundEvidence suggests that high body fat and low muscle mass may increase the risk of fragility fractures. However, current fracture risk models, which largely rely on body mass index (BMI), may not fully capture these compositional factors. We recommend integrating additional body composition variables into fracture risk calculators to improve accuracy. Previously, we described partial body fat percentage (PBF%), a novel measure that is routinely available and calculated as the proportion of fat at the lumbar spine and hip during DXA scans. We hypothesize that a combined BMI and PBF% approach (BMI/PBF%) could be associated with fragility fracture.
methodsPatients were referred to our DXA scanner between June 2004 and February 2024 and had combined lumbar spine and bilateral femoral scans. Patients were initially categorized by BMI (underweight, normal weight, overweight and obese) and then divided into tertiles of PBF%. Based on each patient's unique combination of BMI and PBF% tertile, they were stratified into 12 binary BMI/PBF% groups for analysis. Multivariable logistic regression models, reporting odds ratios (OR), with BMI/PBF% groups as the independent variables and fragility fractures as the dependent variable were fit, with all results adjusted for known fracture risk factors.
resultsWe analysed 36 235 patients (83.4% female, 16.6% male), of whom 14 342 (39.5%) reported fragility fractures. The median (IQR) age was 67.7 (57.5-75.0) years, with a BMI of 26.4 (23.3-30.2) kg/m
conclusionHigh or low PBF% within BMI categories is associated with fragility fractures, challenging the traditional notion that high BMI protects against fractures. This study highlights the importance of body composition measures beyond BMI in fracture risk assessment.
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