Literature DB >> 29748657

Digital anthropometry: a critical review.

Steven B Heymsfield1, Brianna Bourgeois2, Bennett K Ng3,4, Markus J Sommer3, Xin Li5, John A Shepherd3,4.   

Abstract

Anthropometry, Greek for human measurement, is a tool widely used across many scientific disciplines. Clinical nutrition applications include phenotyping subjects across the lifespan for assessing growth, body composition, response to treatments, and predicting health risks. The simple anthropometric tools such as flexible measuring tapes and calipers are now being supplanted by rapidly developing digital technology devices. These systems take many forms, but excitement today surrounds the introduction of relatively low cost three-dimensional optical imaging methods that can be used in research, clinical, and even home settings. This review examines this transformative technology, providing an overview of device operational details, early validation studies, and potential applications. Digital anthropometry is rapidly transforming dormant and static areas of clinical nutrition science with many new applications and research opportunities.

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Mesh:

Year:  2018        PMID: 29748657      PMCID: PMC6411053          DOI: 10.1038/s41430-018-0145-7

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  22 in total

1.  Evidence-Based Efficacy of High-Intensity Focused Ultrasound (HIFU) in Aesthetic Body Contouring.

Authors:  Bishara S Atiyeh; Fadl Chahine
Journal:  Aesthetic Plast Surg       Date:  2020-07-23       Impact factor: 2.326

Review 2.  A machine learning approach relating 3D body scans to body composition in humans.

Authors:  James D Pleuss; Kevin Talty; Steven Morse; Patrick Kuiper; Michael Scioletti; Steven B Heymsfield; Diana M Thomas
Journal:  Eur J Clin Nutr       Date:  2018-10-12       Impact factor: 4.016

3.  Digital anthropometry via three-dimensional optical scanning: evaluation of four commercially available systems.

Authors:  Grant M Tinsley; M Lane Moore; Jacob R Dellinger; Brian T Adamson; Marqui L Benavides
Journal:  Eur J Clin Nutr       Date:  2019-11-04       Impact factor: 4.016

4.  A pose-independent method for accurate and precise body composition from 3D optical scans.

Authors:  Michael C Wong; Bennett K Ng; Isaac Tian; Sima Sobhiyeh; Ian Pagano; Marcelline Dechenaud; Samantha F Kennedy; Yong E Liu; Nisa N Kelly; Dominic Chow; Andrea K Garber; Gertraud Maskarinec; Sergi Pujades; Michael J Black; Brian Curless; Steven B Heymsfield; John A Shepherd
Journal:  Obesity (Silver Spring)       Date:  2021-09-21       Impact factor: 5.002

Review 5.  Digital Anthropometry for Body Circumference Measurements: European Phenotypic Variations throughout the Decades.

Authors:  Marco Alessandro Minetto; Angelo Pietrobelli; Chiara Busso; Jonathan P Bennett; Andrea Ferraris; John A Shepherd; Steven B Heymsfield
Journal:  J Pers Med       Date:  2022-05-30

6.  Assessment of clinical measures of total and regional body composition from a commercial 3-dimensional optical body scanner.

Authors:  Jonathan P Bennett; Yong En Liu; Brandon K Quon; Nisa N Kelly; Michael C Wong; Samantha F Kennedy; Dominic C Chow; Andrea K Garber; Ethan J Weiss; Steven B Heymsfield; John A Shepherd
Journal:  Clin Nutr       Date:  2021-12-07       Impact factor: 7.643

7.  Anthropometric evaluation of a 3D scanning mobile application.

Authors:  Brooke Smith; Cassidy McCarthy; Marcelline E Dechenaud; Michael C Wong; John Shepherd; Steven B Heymsfield
Journal:  Obesity (Silver Spring)       Date:  2022-05-02       Impact factor: 9.298

Review 8.  Antimicrobial Dosing in Specific Populations and Novel Clinical Methodologies: Obesity.

Authors:  Manjunath P Pai
Journal:  Clin Pharmacol Ther       Date:  2021-02-28       Impact factor: 6.875

Review 9.  Comparison of Body Scanner and Manual Anthropometric Measurements of Body Shape: A Systematic Review.

Authors:  Lorena Rumbo-Rodríguez; Miriam Sánchez-SanSegundo; Rosario Ferrer-Cascales; Nahuel García-D'Urso; Jose A Hurtado-Sánchez; Ana Zaragoza-Martí
Journal:  Int J Environ Res Public Health       Date:  2021-06-08       Impact factor: 3.390

10.  Novel body fat estimation using machine learning and 3-dimensional optical imaging.

Authors:  Patrick S Harty; Breck Sieglinger; Steven B Heymsfield; John A Shepherd; David Bruner; Matthew T Stratton; Grant M Tinsley
Journal:  Eur J Clin Nutr       Date:  2020-03-16       Impact factor: 4.016

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