Prediction of presence and severity of metabolic syndrome using regional body volumes measured by a multisensor white-light 3D scanner and validation using a mobile technology
The described BVI model was associated with an increased severity and prevalence of MS compared with BMI and waist-to-hip ratio. Validation of the BVI had excellent performance when using myBVI®. This model could serve as a powerful screening tool for identifying MS.
Authors
- Francisco López-Jiménez (ORCID: https://orcid.org/0000-0001-5788-9734)
- Kyla Lara-Breitinger (ORCID: https://orcid.org/0000-0001-9724-3065)
- Betsy J. Medina‐Inojosa (ORCID: https://orcid.org/0000-0001-5190-5107)
- José R. Medina‐Inojosa (ORCID: https://orcid.org/0000-0001-8705-0462)
- Virend Kristen Somers (ORCID: https://orcid.org/0000-0003-4045-4341)
- Lynne A Johnson
Institutions
- Mayo Clinic (US)
- WinnMed (US)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2024-08-15
- DOI
- https://doi.org/10.1093/ehjdh/ztae059
- Citations
- 7
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 3.80
Funders
- Mayo Foundation for Medical Education and Research