Literature DB >> 31034247

Anthropometric Dimensions of Individuals With High Body Mass Index.

Neal Wiggermann1,2, Bruce Bradtmiller3,2, Sue Bunnell4,2, Cathy Hildebrand5,2, John Archibeque6,2, Sheila Ebert2, Matthew P Reed2, Monica L H Jones2.   

Abstract

OBJECTIVE: This study presents anthropometric data for individuals with high body mass index (BMI). Modified anthropometric dimensions were also developed to address the challenges of obtaining accurate and repeatable data for this population segment.
BACKGROUND: The prevalence of obesity affects approximately 40% of the U.S. adult population. Anthropometric data are needed to guide product design and safety, but few individuals with high BMI have been measured in available datasets.
METHOD: Anthropometric data for a convenience sample of 288 adults with high BMI (≥30 kg/m2) were collected. To increase participation and minimize participant discomfort, measurements were collected at three bariatric weight loss clinics and one academic research institution.
RESULTS: The current obese cohort are heavier than the U.S. general population, with a difference in mean body weight of 47 kg for women and 56 kg for men. The obese cohort are also heavier and have a higher BMI compared with the NIOSH (National Institute for Occupational Safety and Health) truck driver population. Waist circumferential measures of the current obese cohort were larger than women or men in either population compared, a result indicative of meaningful body shape differences.
CONCLUSION: To our knowledge, this study is the first to collect anthropometric data for the obese population segment and conduct comparisons to the U.S. general population and available occupational databases. The obese cohort differed substantially with respect to the distributions of anthropometric variables. APPLICATION: These data provide insights about the obese population segment that are relevant to product design, and establish a foundation for future data collection efforts.

Entities:  

Keywords:  accommodation; anthropometry; bariatric; obesity

Mesh:

Year:  2019        PMID: 31034247      PMCID: PMC6820124          DOI: 10.1177/0018720819839809

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  12 in total

1.  Trends in Obesity Among Adults in the United States, 2005 to 2014.

Authors:  Katherine M Flegal; Deanna Kruszon-Moran; Margaret D Carroll; Cheryl D Fryar; Cynthia L Ogden
Journal:  JAMA       Date:  2016-06-07       Impact factor: 56.272

2.  U.S. truck driver anthropometric study and multivariate anthropometric models for cab designs.

Authors:  Jinhua Guan; Hongwei Hsiao; Bruce Bradtmiller; Tsui-Ying Kau; Matthew R Reed; Steven K Jahns; Josef Loczi; H Lenora Hardee; Dominic Paul T Piamonte
Journal:  Hum Factors       Date:  2012-10       Impact factor: 2.888

3.  Trends in Obesity and Severe Obesity Prevalence in US Youth and Adults by Sex and Age, 2007-2008 to 2015-2016.

Authors:  Craig M Hales; Cheryl D Fryar; Margaret D Carroll; David S Freedman; Cynthia L Ogden
Journal:  JAMA       Date:  2018-04-24       Impact factor: 56.272

4.  Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010.

Authors:  Katherine M Flegal; Margaret D Carroll; Brian K Kit; Cynthia L Ogden
Journal:  JAMA       Date:  2012-01-17       Impact factor: 56.272

5.  Prevalence of childhood and adult obesity in the United States, 2011-2012.

Authors:  Cynthia L Ogden; Margaret D Carroll; Brian K Kit; Katherine M Flegal
Journal:  JAMA       Date:  2014-02-26       Impact factor: 56.272

6.  Increases in morbid obesity in the USA: 2000-2005.

Authors:  R Sturm
Journal:  Public Health       Date:  2007-03-30       Impact factor: 2.427

7.  Crash injury risks for obese occupants using a matched-pair analysis.

Authors:  David C Viano; Chantal S Parenteau; Mark L Edwards
Journal:  Traffic Inj Prev       Date:  2008-03       Impact factor: 1.491

8.  Morbid obesity rates continue to rise rapidly in the United States.

Authors:  R Sturm; A Hattori
Journal:  Int J Obes (Lond)       Date:  2013-06       Impact factor: 5.095

9.  The influence of body mass index on thoracic injuries in frontal impacts.

Authors:  Joseph M Cormier
Journal:  Accid Anal Prev       Date:  2007-09-20

10.  What Bed Size Does a Patient Need? The Relationship Between Body Mass Index and Space Required to Turn in Bed.

Authors:  Neal Wiggermann; Kathryn Smith; Dee Kumpar
Journal:  Nurs Res       Date:  2017 Nov/Dec       Impact factor: 2.381

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  2 in total

Review 1.  Development and Application of Digital Human Models in the Field of Vehicle Collisions: A Review.

Authors:  Qian Wang; Yunfeng Lou; Tong Li; Xianlong Jin
Journal:  Ann Biomed Eng       Date:  2021-05-13       Impact factor: 3.934

Review 2.  Sensor Architectures and Technologies for Upper Limb 3D Surface Reconstruction: A Review.

Authors:  Alessandro Paoli; Paolo Neri; Armando V Razionale; Francesco Tamburrino; Sandro Barone
Journal:  Sensors (Basel)       Date:  2020-11-18       Impact factor: 3.847

  2 in total

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