ArticleScientific reports2023
Equations for smartphone prediction of adiposity and appendicular lean mass in youth soccer players.
Article in Scientific reports, 2023. 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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Who cites it
7 citing papers in PubMed.
- Validation of digital anthropometric measurements during pregnancy: a longitudinal study.European journal of clinical nutrition · 2026Article
- Exploring the Relationship Between Skeletal Muscle Mass and Muscle Strength in the Limbs of Elite Soccer Players.Muscles (Basel, Switzerland) · 2026Article
- Comparing digital anthropometrics from mobile applications to reference methods: a scoping review.European journal of clinical nutrition · 2025Article
- Innovative digital approaches to characterize core factors of patients with late-stage knee osteoarthritis: a cross-sectional study.Frontiers in digital health · 2025Article
- The impact of different body surface area prediction equations on ventricular dilatation prevalence in youth soccer players.Frontiers in cardiovascular medicine · 2025Article
- Accurate prediction of three-dimensional humanoid avatars for anthropometric modeling.International journal of obesity (2005) · 2024Article
- Accurate Prediction of Three-Dimensional Humanoid Avatars for Anthropometric Modeling.Research square · 2024Article
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10 authors.
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Abstract
Digital anthropometry by three-dimensional optical imaging systems and smartphones has recently been shown to provide non-invasive, precise, and accurate anthropometric and body composition measurements. To our knowledge, no previous study performed smartphone-based digital anthropometric assessments in young athletes. The aim of this study was to investigate the reproducibly and validity of smartphone-based estimation of anthropometric and body composition parameters in youth soccer players. A convenience sample of 124 male players and 69 female players (median ages of 16.2 and 15.5 years, respectively) was recruited. Measurements of body weight and height, one whole-body Dual-Energy X-ray Absorptiometry (DXA) scan, and acquisition of optical images (performed in duplicate by the Mobile Fit app to obtain two avatars for each player) were performed. The reproducibility analysis showed percent standard error of measurement values < 10% for all anthropometric and body composition measurements, thus indicating high agreement between the measurements obtained for the two avatars. Mobile Fit app overestimated the body fat percentage with respect to DXA (average overestimation of + 3.7% in males and + 4.6% in females), while it underestimated the total lean mass (- 2.6 kg in males and - 2.5 kg in females) and the appendicular lean mass (- 10.5 kg in males and - 5.5 kg in females). Using data of the soccer players, we reparameterized the equations previously proposed to estimate the body fat percentage and the appendicular lean mass and we obtained new equations that can be used in youth athletes for body composition assessment through conventional anthropometrics-based prediction models.
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