2017
DOI: 10.1061/(asce)co.1943-7862.0001208
|View full text |Cite
|
Sign up to set email alerts
|

Identification of Biomechanical Risk Factors for the Development of Lower-Back Disorders during Manual Rebar Tying

Abstract: High prevalence of musculoskeletal disorders among construction workers pose challenges to the productivity and occupational health of the construction industry. To mitigate the risk of musculoskeletal disorders, construction managers need to deepen their understanding of the physical and biomechanical demands of various construction tasks so that appropriate policies and preventive measures can be implemented. Among various construction trades, rebar workers are highly susceptible to lower-back disorders (LBD… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
50
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
4
4

Relationship

1
7

Authors

Journals

citations
Cited by 77 publications
(51 citation statements)
references
References 38 publications
1
50
0
Order By: Relevance
“…This has been confirmed in laboratory-based simulations studies. For example , Umer, et al (2017) used wearable sensors to directly measure biomechanical risk factors associated with a simulated steel fixing task, finding lumbar flexion angles substantially exceed recommended limits (Umer, et al, 2017). However, field-based studies also show that ergonomic exposures vary significantly depending upon the specific work context.…”
Section: Risk Factors For Msds In Tying Steel Reinforcement Barsmentioning
confidence: 99%
See 1 more Smart Citation
“…This has been confirmed in laboratory-based simulations studies. For example , Umer, et al (2017) used wearable sensors to directly measure biomechanical risk factors associated with a simulated steel fixing task, finding lumbar flexion angles substantially exceed recommended limits (Umer, et al, 2017). However, field-based studies also show that ergonomic exposures vary significantly depending upon the specific work context.…”
Section: Risk Factors For Msds In Tying Steel Reinforcement Barsmentioning
confidence: 99%
“…Lightweight wearable sensors are capable of providing large quantities of highly accurate data on a range of MSD risk exposure variables (Inyang, et al, 2012). To date, whole body measurement systems have been used in a laboratory context (Umer, et al (2017), however, it is less common for such systems to be used in construction work settings.…”
Section: Data Collectionmentioning
confidence: 99%
“…Manual material handing (MMH) tasks expose workers to a high level of ergonomic hazards, which finds high correlation with the onset of work-related musculoskeletal disorders (WMSDs) [7][8][9][10][11]. Awkward postures have been identified as risk factors for the musculoskeletal system, especially in the construction field [12][13][14][15]. Though different guidelines have been designed for risk assessments, they have not always been definitive due to factors such as high variability, repetitiveness, and a low standardization of tasks [16][17][18][19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…However, the subjective assessment based on observation is time-and labor-consuming with low repeatability among different observers (Takala et al, 2010). With the development of sensor technology, Inertial Measurement Units (IMU) have been used to solve the above problem (Yan et al, 2017;Umer et al, 2017). IMU measures the relative rotation angles of joints, and human body postures can be computed based on these joint parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Common cardiovascular indicators include heart rate, breathing rate, skin temperatures and whole-body calorimetry (Faber et al, 2010;Hartmann and Fleischer, 2005;Gatti et al, 2011;Garet et al, 2005). Musculoskeletal indicators contain body orientation, accelerations and surface electromyography (sEMG) (Gatti et al, 2011;Umer et al, 2017). All of the above studies provide efficient ways to collect data reflecting inner causes of workers' healthy and safe problems.…”
Section: Introductionmentioning
confidence: 99%