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Shepherd Research Lab

Body Composition Research

These studies look at fat, lean, and bone tissue to quantify how aspects of body shape exhibit risk of diseases such as cancers and obesity. We also study how the development and a person’s environment may affect their body. Click the links to learn more.

Ongoing Projects

  • Shape Up! Studies

    Shape Up! Studies explore and develop ways to measure health and body composition from 2D and 3D images, which can then provide useful and detailed information about various health and wellness risks. The research relies on information gathered from subjects. If you’d like to participate, visit the site to learn more!

Completed Projects

  • Samsung Bioimpedance System Evaluation Study

    Samsung Bioimpedance System Evaluation Study

    Overview Bioimpedance analysis systems are rapidly evolving and are now increasingly being used in research, clinical, and home settings (1). The novel Samsung BIA devices operate through a wrist-worn watch […]

  • Da Kine Body Composition Study

    Da Kine Body Composition Study

    Overview Hydration status and total body water (TBW) in humans may vary in special populations such as athletes and age groups. This variability may lead to inaccurate body composition measurements […]

Latest publications related to body composition:

Bennett JP, Ford KL, Siervo M, Gonzalez MC, Lukaski HC, Sawyer MB, et al. Advancing body composition assessment in patients with cancer: First comparisons of traditional versus multicompartment models. Nutrition [Internet]. 2024 May 6;112494. Cite
Tian IY, Wong MC, Nguyen WM, Kennedy S, McCarthy C, Kelly NN, et al. Automated body composition estimation from device-agnostic 3D optical scans in pediatric populations. Clinical Nutrition [Internet]. 2023 Sep 1;42(9):1619–30. Cite
Garber AK, Bennett JP, Wong MC, Tian IY, Maskarinec G, Kennedy SF, et al. Cross-sectional assessment of body composition and detection of malnutrition risk in participants with low Body Mass Index and eating disorders using 3D optical surface scans. The American Journal of Clinical Nutrition [Internet]. 2023 Aug 19; Cite
Wong MC, Bennett JP, Quon B, Leong LT, Tian IY, Liu YE, et al. Accuracy and Precision of 3D Optical Imaging for Body Composition by Age, BMI, and Ethnicity. The American Journal of Clinical Nutrition [Internet]. 2023 Jul 19; Cite
McCarthy C, Tinsley GM, Yang S, Irving BA, Wong MC, Bennett JP, et al. Smartphone Prediction of Skeletal Muscle Mass: Model Development and Validation in Adults. The American Journal of Clinical Nutrition [Internet]. 2023 Feb 8; Cite
Wong MC, Bennett JP, Leong LT, Tian IY, Liu YE, Kelly NN, et al. Monitoring Body Composition Change for Intervention Studies with Advancing 3D Optical Imaging Technology in Comparison to Dual-Energy X-Ray Absorptiometry. The American Journal of Clinical Nutrition [Internet]. 2023; Cite
McCarthy, C., Schoeller, D., Brown, J. C., Gonzalez, M. C., Varanoske, A. N., Cataldi, D., et al. D(3) -creatine dilution for skeletal muscle mass measurement: historical development and current status. J Cachexia Sarcopenia Muscle [Internet]. 2022 Sep 5; Cite
Tian I, Wong M, Kennedy S, Kelly N, Liu E, Garber A, et al. A Device-Agnostic Shape Model for Automated Body Composition Estimates from 3D Optical Scans. Medical Physics [Internet]. 2022 Jul 15; Cite
Cataldi D, Bennett JP, Leong LT, Liu YE, Kelly NN, Shepherd JA. Muscular Function and Strength Predictions Using DXA. Oral Presentation presented at: International Workshop on Quantitative Musculoskeletal Imaging; 2022 Jun 13; Noordwijk, Netherlands. Cite
Cataldi D, Bennett JP, Quon BK, Liu YE, Heymsfield SB, Kelly T, et al. Agreement and Precision of Deuterium Dilution for Total Body Water and Multicompartment Body Composition Assesment in Collegiate Athletes. The Journal of Nutrition [Internet]. 2022 Jun 6; Cite

View more publications on our Publication page.