ArticleInternational journal of environmental research and public health2022
Torso Shape Improves the Prediction of Body Fat Magnitude and Distribution.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Precision nutrition targeting the gut microbiota for weight management: mechanisms and applications.Frontiers in microbiology · 2026Review
- Patient perceptions of three-dimensional (3D) surface imaging technology and traditional methods used to assess anthropometry.Obesity pillars · 2024Article
- Coronal, Sagittal, and Horizontal Classification of the Chest Shape and Its Role in Selection of Proper Implants.Plastic and reconstructive surgery. Global open · 2023Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs obesity increases throughout the developed world, concern for the health of the population rises. Obesity increases the risk of metabolic syndrome, a cluster of conditions associated with type-2 diabetes. Correctly identifying individuals at risk from metabolic syndrome is vital to ensure interventions and treatments can be prescribed as soon as possible. Traditional anthropometrics have some success in this, particularly waist circumference. However, body size is limited when trying to account for a diverse range of ages, body types and ethnicities. We have assessed whether measures of torso shape (from 3D body scans) can improve the performance of models predicting the magnitude and distribution of body fat.
methodsFrom 93 male participants (age 43.1 ± 7.4) we captured anthropometrics and torso shape using a 3D scanner, body fat volume using an air displacement plethysmography device (BODPOD
resultsPredictive models containing torso shape had an increased adjusted R
conclusionsTorso shape improves the performance of anthropometric predictive models, an important component of identifying metabolic syndrome risk. Future work must focus on fast, low-cost methods of capturing the shape of the body.
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Registered trials
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