Jose Medina-Inojosa1, Virend K Somers1, Taiwo Ngwa2, Ling Hinshaw1, Francisco Lopez-Jimenez1. 1. Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA. 2. Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA; Department of Gastroenterology, Indiana University School of Medicine, Indiana, USA.
Abstract
BACKGROUND: Central obesity poses a significant risk for cardiovascular diseases, but the reproducibility of manual measurements of waist and hip circumferences has been questioned. An automated 3D body scanner that uses white light rays could potentially increase the reliability of these anthropometric measurements. METHODS: We assessed the reproducibility of anthropometric measurements performed manually and using a 3D-scanner in 83 adult volunteers. Manual measures of WC and HC were obtained using unmarked, non-elastic ribbons in order to avoid observer and confirmation bias. The 3D-scanner was used to create body images and to obtain WC and HC measurements in an automated fashion. RESULTS: The inter-observer mean differences were 3.9 ± 2.4 cm for WC; 2.7 ± 2.4 cm, for HC, and 0.006 ± 0.02 cm for WHR. Intra-observer mean differences for manual measurements were 3.1 ± 1.9 cm for WC, 1.8 ± 2.2 cm for HC and 0.11 ± 0.1 cm for WHR. The 3D-scanner variability for WC was 1.3 ± 0.9 cm, for HC was 0.8 ± 0.1 and 0.005 ± 0.01 cm for WHR. All means were significantly different (p<0.05) between manual and automated methods. CONCLUSION: The 3D-scanner is a more reliable and reproducible method for measuring WC, HC and WHR to detect central obesity.
BACKGROUND:Central obesity poses a significant risk for cardiovascular diseases, but the reproducibility of manual measurements of waist and hip circumferences has been questioned. An automated 3D body scanner that uses white light rays could potentially increase the reliability of these anthropometric measurements. METHODS: We assessed the reproducibility of anthropometric measurements performed manually and using a 3D-scanner in 83 adult volunteers. Manual measures of WC and HC were obtained using unmarked, non-elastic ribbons in order to avoid observer and confirmation bias. The 3D-scanner was used to create body images and to obtain WC and HC measurements in an automated fashion. RESULTS: The inter-observer mean differences were 3.9 ± 2.4 cm for WC; 2.7 ± 2.4 cm, for HC, and 0.006 ± 0.02 cm for WHR. Intra-observer mean differences for manual measurements were 3.1 ± 1.9 cm for WC, 1.8 ± 2.2 cm for HC and 0.11 ± 0.1 cm for WHR. The 3D-scanner variability for WC was 1.3 ± 0.9 cm, for HC was 0.8 ± 0.1 and 0.005 ± 0.01 cm for WHR. All means were significantly different (p<0.05) between manual and automated methods. CONCLUSION: The 3D-scanner is a more reliable and reproducible method for measuring WC, HC and WHR to detect central obesity.
Entities:
Keywords:
3D-scanner; Central obesity; Hip circumference; Obesity; Waist circumference; Waist-to-hip ratio
Authors: Salim Yusuf; Steven Hawken; Stephanie Ounpuu; Leonelo Bautista; Maria Grazia Franzosi; Patrick Commerford; Chim C Lang; Zvonko Rumboldt; Churchill L Onen; Liu Lisheng; Supachai Tanomsup; Paul Wangai; Fahad Razak; Arya M Sharma; Sonia S Anand Journal: Lancet Date: 2005-11-05 Impact factor: 79.321
Authors: B J Arsenault; J S Rana; I Lemieux; J-P Després; J J P Kastelein; S M Boekholdt; N J Wareham; K-T Khaw Journal: Int J Obes (Lond) Date: 2009-11-17 Impact factor: 5.095
Authors: Karine R Sahakyan; Virend K Somers; Juan P Rodriguez-Escudero; David O Hodge; Rickey E Carter; Ondrej Sochor; Thais Coutinho; Michael D Jensen; Véronique L Roger; Prachi Singh; Francisco Lopez-Jimenez Journal: Ann Intern Med Date: 2015-11-10 Impact factor: 25.391
Authors: Sima Sobhiyeh; Samantha Kennedy; Alexander Dunkel; Marcelline E Dechenaud; Jerome A Weston; John Shepherd; Peter Wolenski; Steven B Heymsfield Journal: Obes Sci Pract Date: 2020-11-06
Authors: Farzane Saeidifard; Jose R Medina-Inojosa; Marta Supervia; Thomas P Olson; Virend K Somers; Larry J Prokop; Gorazd B Stokin; Francisco Lopez-Jimenez Journal: Mayo Clin Proc Innov Qual Outcomes Date: 2020-12-01
Authors: Lorena Rumbo-Rodríguez; Miriam Sánchez-SanSegundo; Rosario Ferrer-Cascales; Nahuel García-D'Urso; Jose A Hurtado-Sánchez; Ana Zaragoza-Martí Journal: Int J Environ Res Public Health Date: 2021-06-08 Impact factor: 3.390