Neck Strength and Endurance and Associated Personal and Work-Related Factors
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2022/09/01
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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]
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ISSN:0018-7208
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Volume:64
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Issue:6
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NIOSHTIC Number:nn:20064806
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Citation:Hum Factors 2022 Sep; 64(6):1013-1026
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Contact Point Address:Xudong Zhang, Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77843, USA
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Email:xudongzhang@tamu.edu
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Federal Fiscal Year:2022
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Performing Organization:Texas Engineering Experiment Station
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Peer Reviewed:True
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Start Date:20150901
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Source Full Name:Human Factors
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End Date:20190831
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Main Document Checksum:urn:sha-512:928719678ca111101d3f0daa86cc3084b8442cdecfc856294bb08d169abaee8d817aa141d133be6175472841ad0f1bebb808080927ece2f2ddd072594c333b3f
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