Digital human modeling of non-occupational risk factors for manufacturing work task design.

Details

• Personal Author:
  Schall M
• Description:
  Four-year intervention trial (2012-2016); Two facilities operated by same manufacturing company; Does an integrated approach: 1. Reduce occurrence and impact of musculoskeletal health outcomes? 2. Reduce modifiable risk factors for chronic health conditions? 3. Provide an economic benefit? The summary of this presentation is as follows: Digital human modeling software is becoming more sophisticated; Non-occupational risk factors may be modeled: Age, Gender, Joint range of motion limitations; Adds value in context of TOTAL WORKER HEALTH.
• Subjects:
  Accidents, Occupational Asbestos Dust Environmental Monitoring Health Surveys Occupational Health Particulate Matter Preceptorship Safety Safety Management Surveys And Questionnaires

  More +
• Keywords:
  Biomechanics Computer Models Computer Software Ergonomics Intervention Effectiveness Manufacturing MSD Musculoskeletal Disorders Risk Factors Total Worker Health TWH

  More +
• Publisher:
  National Institute for Occupational Safety and Health (NIOSH)
• Document Type:
  Text
• Funding:
  Cooperative Agreement
• Genre:
  Conference/Symposia Proceedings
• Place as Subject:
  Iowa ; OSHA Region 7
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  1-21
• NIOSHTIC Number:
  nn:20053757
• Citation:
  1st International Symposium to Advance Total Worker Health(TM), October 6-8, 2014, Bethesda, Maryland. Atlanta, GA: National Institute for Occupational Safety and Health (NIOSH), 2014 Oct; :1-21
• Federal Fiscal Year:
  2015
• NORA Priority Area:
  Manufacturing ; Public Safety
• Performing Organization:
  University of Iowa
• Peer Reviewed:
  True
• Start Date:
  20060901
• End Date:
  20260831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:7e56e2dc313e1df0788ca955968471b855662f44302be824a478857885d347d740a757308024db28e8bd36b61ac8ab793d1888c76208e70bb5a6f4f901320d2d
• Download URL:
  https://stacks.cdc.gov/view/cdc/181740/cdc_181740_DS1.pdf
• File Type:
  [PDF - 1.20 MB ]