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Neck Strength and Endurance and Associated Personal and Work-Related Factors



Details

  • Personal Author:
  • Description:
    Objective: The present study aimed to establish a normative database of neck strength and endurance while exploring personal and work-related factors that can significantly influence neck strength and endurance. Background: A normative database combining both neck strength and endurance and delineating how they are affected by personal and work-related factors is currently lacking. It is needed for the development of tools and guidelines for designing work requiring head-neck exertions to contain the risk of occupational neck pain. Methods: Forty healthy participants (20 males and 20 females) performed sustained-till-exhaustion head-neck exertions, while seated, at 50% and 100% of their maximal efforts in anterior, anterior-superior, and posterior-superior directions in neutral, 40 degrees extended, and 40 degrees flexed neck postures. Exertion force and endurance time data from 38 participants were recorded and analyzed using regression models. Results: Overall, multiple regression analyses of the neck strength and endurance database revealed that head-neck posture is the most significant determinant of both neck strength and endurance. The time of day significantly influenced neck endurance. Among the personal factors, a significant sex effect on neck strength and significant age and body mass index (BMI) effects on neck endurance were identified. Conclusion: The work-related factors play a more significant role in shaping both neck strength and endurance than personal factors and therefore are more important modifiable factors in meeting the physical demands of work. Application: The study findings can aid in work design as well as in pre-employment screening to reduce the incidence of neck pain in the workplace. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • DOI:
  • ISSN:
    0018-7208
  • Document Type:
  • Funding:
  • Genre:
  • Place as Subject:
  • CIO:
  • Topic:
  • Location:
  • Volume:
    64
  • Issue:
    6
  • NIOSHTIC Number:
    nn:20064806
  • Citation:
    Hum Factors 2022 Sep; 64(6):1013-1026
  • Contact Point Address:
    Xudong Zhang, Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77843, USA
  • Email:
    xudongzhang@tamu.edu
  • Federal Fiscal Year:
    2022
  • Performing Organization:
    Texas Engineering Experiment Station
  • Peer Reviewed:
    True
  • Start Date:
    20150901
  • Source Full Name:
    Human Factors
  • End Date:
    20190831
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:928719678ca111101d3f0daa86cc3084b8442cdecfc856294bb08d169abaee8d817aa141d133be6175472841ad0f1bebb808080927ece2f2ddd072594c333b3f
  • Download URL:
  • File Type:
    Filetype[PDF - 1.32 MB ]
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