Correctness of Self-Reported Task Durations: A Systematic Review

Pulido, J.A.; Barrero, Lope H.; Mathiassen, Svend Erik; Dennerlein, Jack T.

doi:10.1093/annweh/wxx094

Cited by 8 publications

(9 citation statements)

References 62 publications

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“…Considering Aspergillus section Fumigati, besides its clinical relevance [ 51 , 52 ], this species was observed to be predominant and detected in several sampling sites, only by molecular tools, in other critical Portuguese occupational environments [ 32 , 33 , 34 , 53 , 54 ]. Furthermore, both Aspergillus sections detected are representative of harmful fungal species, and their presence requires the implementation of corrective measures according to the American Industrial Hygiene Association [ 55 ].…”

Section: Discussionmentioning

confidence: 99%

A Novel Multi-Approach Protocol for the Characterization of Occupational Exposure to Organic Dust—Swine Production Case Study

Viegas

Faria

Monteiro

et al. 2017

Toxics

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Swine production has been associated with health risks and workers’ symptoms. In Portugal, as in other countries, large-scale swine production involves several activities in the swine environment that require direct intervention, increasing workers’ exposure to organic dust. This study describes an updated protocol for the assessment of occupational exposure to organic dust, to unveil an accurate scenario regarding occupational and environmental risks for workers’ health. The particle size distribution was characterized regarding mass concentration in five different size ranges (PM0.5, PM1, PM2.5, PM5, PM10). Bioburden was assessed, by both active and passive sampling methods, in air, on surfaces, floor covering and feed samples, and analyzed through culture based-methods and qPCR. Smaller size range particles exhibited the highest counts, with indoor particles showing higher particle counts and mass concentration than outdoor particles. The limit values suggested for total bacteria load were surpassed in 35.7% (10 out of 28) of samples and for fungi in 65.5% (19 out of 29) of samples. Among Aspergillus genera, section Circumdati was the most prevalent (55%) on malt extract agar (MEA) and Versicolores the most identified (50%) on dichloran glycerol (DG18). The results document a wide characterization of occupational exposure to organic dust on swine farms, being useful for policies and stakeholders to act to improve workers’ safety. The methods of sampling and analysis employed were the most suitable considering the purpose of the study and should be adopted as a protocol to be followed in future exposure assessments in this occupational environment.

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Section: Discussionmentioning

confidence: 99%

A Novel Multi-Approach Protocol for the Characterization of Occupational Exposure to Organic Dust—Swine Production Case Study

Viegas

Faria

Monteiro

et al. 2017

Toxics

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“…Occupational research and practice has a long-standing interest in the use of time ( Bauman et al , 2019 ). Examples of exposures include time spent in different work tasks ( Mathiassen et al , 2005 ; Svendsen et al , 2005 ; Lewné et al , 2017 ; Notø et al , 2017 ; Pulido et al , 2017 ), in hazardous environments ( Fruin et al , 2004 ; Stewart et al , 2010 ), on different physical activities ( Thorp et al , 2012 ; Rasmussen et al , 2018 ; Gupta et al , 2019 ), and in specific postures ( Mathiassen et al , 2014 ; Wahlström et al , 2016 ; Palm et al , 2018 ).…”

Section: Time Use In Occupational Researchmentioning

confidence: 99%

Time-Based Data in Occupational Studies: The Whys, the Hows, and Some Remaining Challenges in Compositional Data Analysis (CoDA)

Gupta

Rasmussen

Holtermann

et al. 2020

Annals of Work Exposures and Health

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Abstract Data on the use of time in different exposures, behaviors, and work tasks are common in occupational research. Such data are most often expressed in hours, minutes, or percentage of work time. Thus, they are constrained or ‘compositional’, in that they add up to a finite sum (e.g. 8 h of work or 100% work time). Due to their properties, compositional data need to be processed and analyzed using specifically adapted methods. Compositional data analysis (CoDA) has become a particularly established framework to handle such data in various scientific fields such as nutritional epidemiology, geology, and chemistry, but has only recently gained attention in public and occupational health sciences. In this paper, we introduce the reader to CoDA by explaining why CoDA should be used when dealing with compositional time-use data, showing how to perform CoDA, including a worked example, and pointing at some remaining challenges in CoDA. The paper concludes by emphasizing that CoDA in occupational research is still in its infancy, and stresses the need for further development and experience in the use of CoDA for time-based occupational exposures. We hope that the paper will encourage researchers to adopt and apply CoDA in studies of work exposures and health.

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“…However, average self-reports at the group level appear reasonably correct and may thus be a viable method in studies addressing, for instance, the relative occurrence of tasks in a production system. A decision is needed to be made for when to apply or avoid self-reports to measure task durations, depending on study purpose and occupational setting [69]. In Sweden some of the methods that are used include the Rapid Entire Body Assessment (REBA) [70], Key Indicator Method (KIM) [65], the Risk management Assessment tool for Manual handling Proactively (RAMP) [66] and the Quick Exposure Check (QEC) [71].…”

Section: Physical Work Demandsmentioning

confidence: 99%

The Quick Exposure Check (QEC) — Inter-rater reliability in total score and individual items

et al. 2019

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Neck pain is one of the most common musculoskeletal disorders, which causes sickness absence and early retirement. Manual labor, awkward postures and repetitive work are commonly reported as causes for work-related neck disorders. Both neck pain and heavy physical work have been linked to lower levels of work ability. The overall aim of this thesis was to gain knowledge of how work demands can influence the work ability and sickness absence of workers with neck and upper extremity disorders, and also investigate a method that measures work demands. One cross-sectional study, two longitudinal studies and one experimental study were included in this thesis. Papers I-III uses material from Statistics Sweden (SCB) "Work environment" and "Work related disorders" surveys. Sickness absence data from the Longitudinal integration database for health insurance and labor market studies (LISA) database were also used in these studies. The relationship between exposure to work demands (high or low) or work place interventions (yes or no) were compared to work ability or sickness absence. Paper IV investigated the inter-rater reliability of the summary scores and individual items of a method to measure work demands, the Quick Exposure Check (QEC), by comparing two simultaneous assessments of 51 work tasks. The results showed that a lower level of physically demanding work and having high control over ones work can result in lower levels of sickness absence and promote excellent work ability for workers with neck pain, especially among older workers (Papers I, II). In Paper III it was found that work place interventions that improves neck pain were associated with fewer number of sickness absence days. Paper IV found that the QEC has good reliability in total scores but a few of the individual items showed low reliability. The results from this thesis can be used in different work settings, to promote work ability and prevent sickness absence by employers and occupational healthcare professionals.

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Correctness of Self-Reported Task Durations: A Systematic Review

Cited by 8 publications

References 62 publications

A Novel Multi-Approach Protocol for the Characterization of Occupational Exposure to Organic Dust—Swine Production Case Study

A Novel Multi-Approach Protocol for the Characterization of Occupational Exposure to Organic Dust—Swine Production Case Study

Time-Based Data in Occupational Studies: The Whys, the Hows, and Some Remaining Challenges in Compositional Data Analysis (CoDA)

The Quick Exposure Check (QEC) — Inter-rater reliability in total score and individual items

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