Identifying a Ranking Method for Assessing the Potential Risk of Knee Musculoskeletal Disorders Among Roofers in Shingle Installation

Details

• Personal Author:
  Breloff SP ; Dai F ; Dutta A ; Sinsel EW ; Warren CM ; Wu, John Z.
• Description:
  The objective of this study is to identify a ranking method for assessing the potential risk of knee musculoskeletal disorders (MSD) among construction roofers. On a slope-adjustable wooden platform, nine subjects performed the shingle installation, comprising seven phases: 1) reaching for shingles, 2) placing shingles, 3) grasping the nail gun, 4) moving to the first nailing position, 5) nailing shingles, 6) replacing the nail gun, and 7) retuning to upright position. Knee flexion, abduction, adduction, internal, and external rotational angles were measured using an optical motion analysis system. To analyze the relative level of risk at each phase, these angles were combined using multiplication and aggregation-based scoring models that generated ranks of phases at different roof slopes. The ranking results provide useful information for identifying the postures that might pose greater MSD risk, and may facilitate effective interventions development to reduce extreme knee positions which is a MSD risk factor. [Description provided by NIOSH]
• Subjects:
  Coal Coal Mining Hearing Loss, Noise-Induced Minerals Mining Noise Noise, Occupational Occupational Health Safety
• Keywords:
  Construction Industry Construction Workers Ergonomics Exposure Levels Intervention Knee Disorders Knee Injuries Laboratories MSD Musculoskeletal Disorders Musculoskeletal System Disorders Risk Assessment Risk Factors Roofers Roofing Roofing Industry Safety Equipment Safety Measures

  More +
• ISBN:
  9780784482438
• Publisher:
  American Society of Civil Engineers (ASCE)
• Document Type:
  Text
• Genre:
  Proceedings
• Place as Subject:
  Georgia ; OSHA Region 3 ; OSHA Region 4 ; Virginia ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  HELD - Health Effects Laboratory Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  445-453
• NIOSHTIC Number:
  nn:20061275
• Citation:
  ASCE International Conference on Computing in Civil Engineering 2019: Data, Sensing, and Analytics, June 17-19, 2019, Atlanta, Georgia. Cho YK, Leite F, Behzadan A, Wang C, eds. Reston, VA: American Society of Civil Engineers, 2019 Jun; :445-453
• Contact Point Address:
  Amrita Dutta, Department of Civil and Environmental Engineering, West Virginia University, PO Box 6103, Morgantown, WV 26506
• Email:
  amdutta@mix.wvu.edu
• Editor(s):
  Cho YK; Leite F; Behzadan A; Wang C
• Federal Fiscal Year:
  2019
• Peer Reviewed:
  False
• Source Full Name:
  ASCE International Conference on Computing in Civil Engineering 2019: Data, Sensing, and Analytics, June 17-19, 2019, Atlanta, Georgia
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:75b7df4632d9d4f817c21ad2aa3d3c9dbbdd521154262cf264aa6234401fbb212cd927c672b4a8725169c22483447847a7be9871b3f995322dcc370dc034e8a8
• Download URL:
  https://stacks.cdc.gov/view/cdc/224854/cdc_224854_DS1.pdf
• File Type:
  [PDF - 328.01 KB ]