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Anthropometric evaluation through images: Findings from the SCANNER software package.
Petermann-Rocha, Fanny; Pizarro, Amanda; Castro, Sebastián; Pizarro, Alonso.
Afiliação
  • Petermann-Rocha F; Centro de Investigación Biomédica, Facultad de Medicina, Universidad Diego Portales, Santiago, Chile; School of Cardiovascular and Metabolic Health. University of Glasgow, Glasgow, UK. Electronic address: fanny.petermann@udp.cl.
  • Pizarro A; Freelance Researcher, Concepción, Chile.
  • Castro S; Freelance Researcher, Concepción, Chile.
  • Pizarro A; Escuela de Obras Civiles, Facultad de Ingeniería y Ciencias, Universidad Diego Portales, Santiago, Chile.
Nutrition ; 125: 112499, 2024 May 07.
Article em En | MEDLINE | ID: mdl-38820988
ABSTRACT

OBJECTIVE:

To compare the waist-to-height ratio (WHtR) agreement between synthetic data and the Smart Computerized Anthropometric NavigatioN and Evaluation Resource (SCANNER) software package.

METHODS:

One hundred and ten 3D digital humans (55 for each sex) were created to obtain synthetic values. WHtR was obtained through the waist circumference and height division, both in centimeters. These data were programmed and obtained directly from the synthetic models. SCANNER v0.01 was coded by the researchers using Matlab. Differences between the objective WHtR and the one the SCANNER software package estimated were quantified using standard errors, Spearman's correlation and the Bland-Altman plot.

RESULTS:

Using the Spearman correlation, an agreement level of 0.982 was identified. Using the Bland-Altman plot, the agreement level was high, with a Rho value of 0.983 (95% CI 0.977-0.988). Finally, when the standard errors were quantified, there was an overall error (between the synthetic data created and the computed one) of 0.49%, being higher in men (0.81%) than in women (0.18%).

CONCLUSIONS:

The SCANNER software package is a straightforward tool that could facilitate the estimation of WHtR in distance participants or patients.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nutrition Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nutrition Ano de publicação: 2024 Tipo de documento: Article