Document Type


Publication Date



Understanding of inclined-work-related risk of falls and developing novel practical engineering controls for reducing this risk of falls among hilly working population remains in high demand. Standing on sloped surfaces provides a unique environment for examining the biomechanics and neural control of standing. The present investigation examined the variability of postural signals when standing on inclined surfaces and with load carriages by linear and nonlinear analysis. The purpose of this study was to determine if the sloped surface deteriorated in postural stability among healthy individuals with two distinctive kinds of load carriage methods head versus posterior load carriage. We also examined the effects of distinct magnitudes of load on these conditions. Postural control was assessed objectively using forceplates and subjectively through perceived stability ratings. The results indicate significant differences in mediolateral COP ranges, COP velocities and COP area with interaction in surface inclinations and methods of load carriage. We found that head load carriage when standing on uphill afflicted and engendered increased balance deterioration in healthy young subjects. We also found the significantly lower complexity of postural signals for head load carriage as measured by entropy. Apropos to this mean subjective perceived rating was also least in this load-bearing condition. Understanding these underlying mechanisms of postural control with load carriage strategies in humans could productively help in developing efficacious preventive strategies to reduce the incidence of falls from inclined slopes.


NOTICE: this is the author’s version of a work that was accepted for publication in Safety Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Safety Science, volume 110, part A, in 2018. DOI: 10.1016/j.ssci.2018.03.019

The Creative Commons license below applies only to this version of the article.

Peer Reviewed




Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.