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Minetto MA, Pietrobelli A, Ferraris A, Busso C, Magistrali M, Vignati C, Sieglinger B, Bruner D, Shepherd JA, Heymsfield SB. Equations for smartphone prediction of adiposity and appendicular lean mass in youth soccer players. Sci Rep 2023; 13:20734. [PMID: 38007571 PMCID: PMC10676389 DOI: 10.1038/s41598-023-48055-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 11/21/2023] [Indexed: 11/27/2023] Open
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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Affiliation(s)
- Marco A Minetto
- Division of Physical Medicine and Rehabilitation, Department of Surgical Sciences, University of Turin, Turin, Italy.
| | - Angelo Pietrobelli
- Pennington Biomedical Research Centre, Baton Rouge, LA, USA
- Department of Surgical Sciences, Dentistry, Gynaecology and Paediatrics, Paediatric Unit, University of Verona, Verona, Italy
| | - Andrea Ferraris
- Division of Physical Medicine and Rehabilitation, Department of Surgical Sciences, University of Turin, Turin, Italy
| | - Chiara Busso
- Division of Physical Medicine and Rehabilitation, Department of Surgical Sciences, University of Turin, Turin, Italy
| | | | | | | | | | - John A Shepherd
- Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, USA
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Sousa-E-Silva P, Coelho-E-Silva MJ, Celis-Moreno JM, Costa DC, Martinho DV, Ribeiro LP, Oliveira T, Gonçalves-Santos J, Tavares OM, Castanheira JM, Pereira T, Conde J, Cayolla RR, Duarte-Mendes P, Myburgh GK, Cumming SP, Malina RM. Intra-observer reproducibility and inter-observer agreement of Fels skeletal age assessments among male tennis players 8-16 years. BMC Pediatr 2023; 23:196. [PMID: 37101252 PMCID: PMC10131323 DOI: 10.1186/s12887-023-03965-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 03/22/2023] [Indexed: 04/28/2023] Open
Abstract
BACKGROUND Skeletal age (SA) is an estimate of biological maturity status that is commonly used in sport-related medical examinations. This study considered intra-observer reproducibility and inter-observer agreement of SA assessments among male tennis players. METHODS SA was assessed with the Fels method in 97 male tennis players with chronological ages (CA) spanning 8.7-16.8 years. Radiographs were evaluated by two independent trained observers. Based on the difference between SA and CA, players were classified as late, average or early maturing; if a player was skeletally mature, he was noted as such as an SA is not assigned. RESULTS The magnitude of intra-individual differences between repeated SA assessments were d = 0.008 year (observer A) and d = 0.001 year (observer B); the respective coefficients of variation were 1.11% and 1.75%. Inter-observer mean differences were negligible (t = 1.252, p = 0.210) and the intra-class correlation coefficient was nearly perfect (ICC = 0.995). Concordance of classifications of players by maturity status between observers was 90%. CONCLUSION Fels SA assessments were highly reproducible and showed an acceptable level of inter-observer agreement between trained examiners. Classifications of players by skeletal maturity status based on assessments of the two observers were highly concordant, though not 100%. The results highlight the importance of experienced observers in skeletal maturity assessments.
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Affiliation(s)
- Paulo Sousa-E-Silva
- University of Coimbra, FCDEF, Coimbra, Portugal
- University of Coimbra, CIDAF (uid/04213/2020), Coimbra, Portugal
| | - Manuel J Coelho-E-Silva
- University of Coimbra, FCDEF, Coimbra, Portugal.
- University of Coimbra, CIDAF (uid/04213/2020), Coimbra, Portugal.
| | - Jorge M Celis-Moreno
- University of Coimbra, FCDEF, Coimbra, Portugal
- Universidad Santo Tomás, Bogotá, Colombia
| | - Daniela C Costa
- University of Coimbra, FCDEF, Coimbra, Portugal
- University of Coimbra, CIDAF (uid/04213/2020), Coimbra, Portugal
| | - Diogo V Martinho
- University of Coimbra, FCDEF, Coimbra, Portugal
- University of Coimbra, CIDAF (uid/04213/2020), Coimbra, Portugal
| | - Luís P Ribeiro
- University of Coimbra, CIDAF (uid/04213/2020), Coimbra, Portugal
- University of Algarve, School of Health, Faro, Portugal
| | - Tomas Oliveira
- University of Coimbra, CIDAF (uid/04213/2020), Coimbra, Portugal
| | | | - Oscar M Tavares
- Polytechnic Institute of Coimbra, Coimbra Health School, Coimbra, Portugal
| | - Joaquim M Castanheira
- University of Coimbra, CIDAF (uid/04213/2020), Coimbra, Portugal
- Polytechnic Institute of Coimbra, Coimbra Health School, Coimbra, Portugal
| | - Telmo Pereira
- University of Coimbra, CIDAF (uid/04213/2020), Coimbra, Portugal
- Polytechnic Institute of Coimbra, Coimbra Health School, Coimbra, Portugal
| | - Jorge Conde
- Polytechnic Institute of Coimbra, Coimbra Health School, Coimbra, Portugal
| | - Ricardo R Cayolla
- University Portucalense, REMIT (Research Centre on Economics, Management and Information Technologies), Porto, Portugal
| | - Pedro Duarte-Mendes
- Polytechnic Institute of Castelo Branco, School of Education, Castelo Branco, Portugal
- Polytechnic Institute of Castelo Branco, Sport, Health & Exercise Research Unit (SHERU), Castelo Branco, Portugal
| | | | | | - Robert M Malina
- University of Texas at Austin, Department of Kinesiology and Health Education, Austin, TX, USA
- University of Louisville, School of Public Health and Information Sciences, Louisville, KY, USA
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Liu R, Zhu H, Wang L, Han B, Du J, Jia Y. Coarse-to-fine segmentation and ensemble convolutional neural networks for automated pediatric bone age assessment. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2022.103532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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