Literature DB >> 16393801

Work routinization and implications for ergonomic exposure assessment.

Judith E Gold1, Jung-Soon Park, Laura Punnett.   

Abstract

Jobs in many modern settings, including manufacturing, service, agriculture and construction, are variable in their content and timing. This prompts the need for exposure assessment methods that do not assume regular work cycles. A scheme is presented for classifying levels of routinization to inform development of an appropriate exposure assessment strategy for a given occupational setting. Five levels of routinization have been defined based on the tasks of which the job is composed: 1) a single scheduled task with a regular work cycle; 2) multiple cyclical tasks; 3) a mix of cyclical and non-cyclical tasks; 4) one non-cyclical task; 5) multiple non-cyclical tasks. This classification, based primarily on job observation, is illustrated through data from a study of automobile manufacturing workers (n = 1200), from which self-assessed exposures to physical and psychosocial stressors were also obtained. In this cohort, decision latitude was greater with higher routinization level (p < 0.0001), and the least routinized jobs showed the lowest self-reported exposure to physical ergonomic stressors. The job analysis checklist developed for non-routinized jobs is presented, and limitations of the task analysis method utilized in the study are discussed. A work sampling approach to job analysis is recommended as the most efficient way to obtain a comparable unbiased exposure estimate across all routinization levels.

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Year:  2006        PMID: 16393801     DOI: 10.1080/00140130500356643

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  10 in total

1.  Work pattern causes bias in self-reported activity duration: a randomised study of mechanisms and implications for exposure assessment and epidemiology.

Authors:  L H Barrero; J N Katz; M J Perry; R Krishnan; J H Ware; J T Dennerlein
Journal:  Occup Environ Med       Date:  2008-09-19       Impact factor: 4.402

2.  Photovoice in the workplace: A participatory method to give voice to workers to identify health and safety hazards and promote workplace change-a study of university custodians.

Authors:  Marian R Flum; Carlos Eduardo Siqueira; Anthony DeCaro; Scott Redway
Journal:  Am J Ind Med       Date:  2010-11       Impact factor: 2.214

3.  A Taxonomy of the Common Tasks and the Development of a Risk Index for Physical Load Assessment in Nursing Job.

Authors:  Jang Jin Ryoo; Kyung-Sun Lee; Jung-Wan Koo
Journal:  Saf Health Work       Date:  2020-06-14

4.  Statistical prediction of load carriage mode and magnitude from inertial sensor derived gait kinematics.

Authors:  Sol Lim; Clive D'Souza
Journal:  Appl Ergon       Date:  2018-11-29       Impact factor: 3.661

5.  Determining organ dose: the holy grail.

Authors:  Ehsan Samei; Xiaoyu Tian; W Paul Segars
Journal:  Pediatr Radiol       Date:  2014-10-11

6.  Bias and imprecision in posture percentile variables estimated from short exposure samples.

Authors:  Svend Erik Mathiassen; Jens Wahlström; Mikael Forsman
Journal:  BMC Med Res Methodol       Date:  2012-03-25       Impact factor: 4.615

7.  Comparing upper arm and trunk kinematics between manufacturing workers performing predominantly cyclic and non-cyclic work tasks.

Authors:  Mark C Schall; Xuanxuan Zhang; Howard Chen; Sean Gallagher; Nathan B Fethke
Journal:  Appl Ergon       Date:  2021-01-14       Impact factor: 3.940

8.  The combined fatigue effects of sequential exposure to seated whole body vibration and physical, mental, or concurrent work demands.

Authors:  Marcus Yung; Angelica E Lang; Jamie Stobart; Aaron M Kociolek; Stephan Milosavljevic; Catherine Trask
Journal:  PLoS One       Date:  2017-12-13       Impact factor: 3.240

9.  Evaluation of Health Risk Level of Hand-Arm and Whole-Body Vibrations on the Technical Operators and Equipment in a Tobacco-Producing Company in Nigeria.

Authors:  Oluseyi Adewale Orelaja; Xingsong Wang; Dauda Sh Ibrahim; Umer Sharif
Journal:  J Healthc Eng       Date:  2019-12-23       Impact factor: 2.682

10.  Biomechanical Exposure to Upper Extremity Musculoskeletal Disorder Risk Factors in Hospital Laboratories.

Authors:  Jung-Keun Park; Jon Boyer; Laura Punnett
Journal:  Int J Environ Res Public Health       Date:  2022-01-03       Impact factor: 3.390

  10 in total

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