Literature DB >> 3750084

A study of lumbosacral orientation under varied static loads.

C K Anderson, D B Chaffin, G D Herrin.   

Abstract

This paper describes a study of lumbar and sacrum orientations in select standing postures with the patient holding different loads in the hands. Vertebral rotation data were gathered from two young, healthy men and two young, healthy women while they performed static lifts at two load levels and in postures ranging from erect standing to deep squatting. The results disclosed a predictable reorientation of the sacrum and lumbar spine for both men and women as a function of torso and knee angles. Nonlinear second-order regression models of torso angle and knee angle versus reorientation angle were fit to the data with resulting r2 values of about 0.89. Load was not found systematically to affect the sacrum/lumbar reorientation.

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Year:  1986        PMID: 3750084     DOI: 10.1097/00007632-198606000-00012

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  5 in total

1.  Development of Human Posture Simulation Method for Assessing Posture Angles and Spinal Loads.

Authors:  Ming-Lun Lu; Thomas Waters; Dwight Werren
Journal:  Hum Factors Ergon Manuf       Date:  2015-01       Impact factor: 1.722

2.  Work-related Musculoskeletal Disorder: An Occupational Disorder of the Goldsmiths in India.

Authors:  Tirthankar Ghosh; Banibrata Das; Somnath Gangopadhyay
Journal:  Indian J Community Med       Date:  2010-04

3.  A comparative ergonomic study of work-related upper extremity musculo skeletal disorder among the unskilled and skilled surgical blacksmiths in West Bengal, India.

Authors:  Tirthankar Ghosh; Banibrata Das; Somnath Gangopadhyay
Journal:  Indian J Occup Environ Med       Date:  2011-09

4.  Work-Related Musculoskeletal Disorders and Risk Factors among Chinese Medical Staff of Obstetrics and Gynecology.

Authors:  Jingjing Wang; Ya Cui; Lihua He; Xiangrong Xu; Zhiwei Yuan; Xianning Jin; Zhimin Li
Journal:  Int J Environ Res Public Health       Date:  2017-05-26       Impact factor: 3.390

5.  Using a Bayesian Network to Predict L5/S1 Spinal Compression Force from Posture, Hand Load, Anthropometry, and Disc Injury Status.

Authors:  Richard E Hughes
Journal:  Appl Bionics Biomech       Date:  2017-10-01       Impact factor: 1.781

  5 in total

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