Analysis of Morphomics Parameters by Gender and BMI Groups: Thorax Shape and H-point Location

The automotive safety community is questioning the effect of obesity on the performance and assessment of occupant protection systems. This study analyzed CT scan measurements of 10,952 individuals older than 15 years by Body Mass Index (BMI) and gender, including the H‐point location defined relative longitudinal distance between the centroid of the femoral head and the most posterior skin measurement, vertebra‐to‐front‐skin distance, and spine‐to‐back‐skin distance along the sagittal plane. The distance data was obtained at each vertebra level. The average H‐point location increased with BMI and varied with gender. A regression analysis was fitted on the data. For females, it was equal to 55.90 +2.47*BMI in the normal size group, 86.25+1.30*BMI in the obese group, and 116.25+0.55*BMI mm in the morbidly obese group (p<0.01). For males the corresponding H‐point was 64.12+2.11*BMI, 77.28+1.62*BMI, and 95.13+1.17*BMI mm (p<0.01). The vertebra‐to‐front skin and spine-to-back skin distances also increased with BMI and differed with gender. With the increasing worldwide concern for obese occupant protection, test devices representative of this segment of the population are necessary. Human math models provide the best option for a parametric analysis of protection systems designed and optimized for various BMI and gender groups. The morphomic data was analyzed to represent a 5th percentile female and 50th percentile male dummy. These results will be useful in the modifications of the current human mathematical models to represent obese occupants.

[1]  C. Ogden,et al.  Anthropometric reference data for children and adults: United States, 2007-2010. , 2012, Vital and health statistics. Series 11, Data from the National Health Survey.

[2]  Jason Forman,et al.  The effect of obesity on the restraint of automobile occupants. , 2009, Annals of advances in automotive medicine. Association for the Advancement of Automotive Medicine. Annual Scientific Conference.

[3]  Matthew P Reed,et al.  Effects of Obesity on Seat Belt Fit , 2012, Traffic injury prevention.

[4]  BY MICHAEL J. LICHTENSTEIN,et al.  Body Mass as a Determinant of Seat Belt Use , 1989, The American journal of the medical sciences.

[5]  Carla Kohoyda-Inglis,et al.  Increased depth of subcutaneous fat is protective against abdominal injuries in motor vehicle collisions. , 2003, Annual proceedings. Association for the Advancement of Automotive Medicine.

[6]  David C Viano,et al.  Crash Injury Risks for Obese Occupants Using a Matched-Pair Analysis , 2008, Traffic injury prevention.

[7]  Frederick P Rivara,et al.  The relationship between body weight and risk of death and serious injury in motor vehicle crashes. , 2002, Accident; analysis and prevention.

[8]  Katherine M Flegal,et al.  Prevalence of obesity in the United States. , 2014, JAMA.

[9]  Shankuan Zhu,et al.  Obesity and risk for death due to motor vehicle crashes. , 2006, American journal of public health.

[10]  H J Mertz,et al.  The Hybrid III 10-Year-Old Dummy. , 2001, Stapp car crash journal.