Work-site musculoskeletal pain risk estimates by trained observers – a prospective cohort study

Coenen, Pieter; Kingma, Idsart; Boot, Cécile R. L.; Douwes, M.; Bongers, P.M.; Dieën, Jaap H. van

doi:10.1080/00140139.2012.709540

Cited by 8 publications

(5 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…An important issue in epidemiological studies is the selection of method used to assess job physical factors (Burdorf, 2010; Coenen et al, 2012). Many of the past studies have involved use of self-reports, observer subjective estimates, or an aggregate assignment of job exposure to a group of workers (group analysis) to estimate job physical demands.…”

Section: Discussionmentioning

confidence: 99%

“…Observer subjective estimates of job physical factors, although frequently used, have lower validity than direct measurement of the job (Spielholz, Silverstein, Morgan, Checkoway, & Kaufman, 2001; Takala et al, 2010). Furthermore, Coenen et al (2012) suggested that it is difficult to estimate stresses to low back from visual observation of a job. Group analysis does not account for individual differences in physical exposure when multiple workers perform similar jobs; however, Jansen and Burdorf (2003) found that the same physical exposure assigned to a group of workers (group approach) showed higher association with LBP than did the measurement on each individual worker.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

The NIOSH Lifting Equation and Low-Back Pain, Part 1

et al. 2013

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The NIOSH Lifting Equation and Low-Back Pain, Part 1

et al. 2013

View full text Add to dashboard Cite

show abstract

“…Coenen et al señalaron que, además de factores de riesgo biomecánicos como la flexión y torsión del tronco, y levantar cargas, la ex-posición a vibraciones de todo el cuerpo están asociados con la aparición de dolor de espalda baja, sin embargo, en esta investigación no se encontró asociación significativa de este factor de riesgo para ningún segmento (32).…”

Section: Discussionunclassified

Riesgos biomecánicos asociados al desorden músculoesquelético en pacientes del régimen contributivo que consultan a un centro ambulatorio en Madrid, Cundinamarca, Colombia

Tolosa-Guzmán I

2015

Rev. Cienc. Salud

View full text Add to dashboard Cite

The musculoskeletal disorder (MSD) associated with employment accounts for 82 % of occupational diseases in Colombia. Occupational exposure may be a trigger agent through employment repetitive motions, heavy lifting, and static postures. Objective: To determine the distribution and association between biomechanical risk factors in workers with MSD by anatomic segment. Materials and methods: A survey (questionnaire) on working conditions and health to 299 workers in a cross-sectional study was applied. Results: The distribution of MSD was higher in the upper segment (59.5 %) followed by the back (27.8 %) and in females (75.3 %). The risk factors major exposures were to be stand (94 %) and repetitive motions (91.6 %). Factors associated in the back and lower extremities MSD were heavy lifting (p < 0.001), conduct force (p = 0.012) and work in comfort (p = 0.036), in the upper segment, the repetitive motion (p = 0.001). The largest joint association of repetitive movements (OR = 1.563 CI 95 % 1.094 to 2.232) was established in the upper segment of DME compared to the lower. For the back, heavy lifting (OR = 1.549 CI 95 % 1.228 to 1.954) compared with the upper segment as when compared with the lower (OR = 1.160 CI 95 % 0.828 to 1.627). Conclusions: The segment most frequently linked with MSD was the upper extremity, which is associated with the repetitive motion and the female gender; followed by the back associated with heavy lifting and male gender.

show abstract

“…A prospective (cohort) study is an analytical measuring approach in which individuals are observed over time periods to determine the association between suspected WIH risk factors and the occurrence of certain occupational health problems (e.g., Coenen et al 2012). Two groups of subjects are usually selected.…”

Section: Prospective Studymentioning

confidence: 99%

Integrating human factors aspects into performance optimization models of a serial assembly system

Sobhani¹

2021

Preprint

View full text Add to dashboard Cite

This dissertation investigates the effects of human factors (HF) of the working environment on the performance of an operation system. Poor HF design of the workplace interrupts the balance of the working environment and reduces employees' overall work performance creating a substantial economic burden on organizations. This thesis focuses on integrating HF aspects into performance optimization models of the serial system. For this reason, a modeling framework has been developed for hierarchical consideration of HF consequences at the individual, workstation and system levels. The developed framework provides a road map for the three analytical phases of this PhD research. In the first analytical phase, a two-state Markov chain is developed to quantify the connection between Work-related Ill Health (WIH) risk factors (ergonomic conditions in the workplace) and employee health-state in a probabilistic way. Subsequently, an optimization model is developed to minimize the total cost of the assembly system with regard to employee health-related productivity loss. Numerical results indicate that there is between 0.5% and 8% difference in the optimal cost of the system with and without including HF effects. In the second analytical phase, a three health-state Markov chain models the connection between HF aspects of the workplace and the employees' work-related productivity and quality variations. Results show between 0.02% and 32% increase for the optimal total cost when both employee productivity and quality losses due to poor HF design of the workplace are integrated into the optimization model. In the third analytical phase, the uncertainty involved in customer demand is considered by developing a two-regime switching model, using a pentanomial lattice. The developed modeling approach investigates the effects of both work-related employee performance variation and demand behavior on the optimal cost of the serial assembly system. Results show that a prediction of the demand distribution throughout the product life cycle is necessary to reduce the over/under cost estimation of the system, due to the stochastic behavior of the demand. This research opens a new window for considering HF intervention not only as occupational health and safety but also as operation improvement method leading to design safer and more efficient systems.

show abstract

Work-site musculoskeletal pain risk estimates by trained observers – a prospective cohort study

Cited by 8 publications

References 50 publications

The NIOSH Lifting Equation and Low-Back Pain, Part 1

The NIOSH Lifting Equation and Low-Back Pain, Part 1

Riesgos biomecánicos asociados al desorden músculoesquelético en pacientes del régimen contributivo que consultan a un centro ambulatorio en Madrid, Cundinamarca, Colombia

Integrating human factors aspects into performance optimization models of a serial assembly system

Contact Info

Product

Resources

About