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Record W3009504345

A Community-Based Pilot Study Exploring Work-Related Musculoskeletal Disorders (WMSD) Perception Among Recently Relocated Syrian Refugees in Canada

2020· dissertation· en· W3009504345 on OpenAlexaboutno aff
Roghiyeh Nazari

Bibliographic record

VenueUWSpace (University of Waterloo) · 2020
Typedissertation
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsnot available
Fundersnot available
KeywordsWork-related musculoskeletal disordersRefugeePerceptionWork (physics)MedicinePsychologyEngineeringGeographyEnvironmental healthHuman factors and ergonomicsPoison controlMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

Refugees, a vulnerable population, usually end up in precarious work situations, which are very common in small businesses (SBs). SBs, where 69.7% of the total private labor force is employed, often hire unskilled workers and immigrants to perform manual labor and have few resources for musculoskeletal disorder (MSD) or occupational health and safety (OHS) prevention. A research group at the University of Waterloo has responded to this concern and developed a simple message about proper techniques for manual material handling (MMH) that was found to be a useful preventative approach to convey ergonomics knowledge and potentially lower the burden of MSDs among workers in SBs. \nThis study followed up on research on the simple educational message “Leave objects off the floor” conducted by Binh Ngo in 1995. In his before-after study of the intervention, participants were asked to rate 44 videos of typical lifting tasks, from 0-10, on how likely they believed the task they just saw could eventually lead to a low back injury or low back pain (LBP). Based on the positive outcomes in Ngo’s study, it was hypothesized that this simple educational message could lead to positive outcomes among newly resettled Syrian workers to improve their knowledge of identifying LBP risk factors. Syrian refugees who had been relocated in Ontario, Canada for less than six years were recruited with the help of staff at settlement agencies in Hamilton, Kitchener, and Waterloo. An explanatory sequential mixed-method approach was utilized to understand refugee workers’ knowledge before and after the simple educational message. A total of 92 participants rated the 44 video clips before and after the simple educational message and 15 participated in semi-structured interviews. \nStatistical analysis of the lifting task rating data illustrated that the study participants were able to correctly identify LBP-associated risks, including the risk factors of vertical height, horizontal distance, weight, twisting, coupling, and repetitive movements with the exception for lifting and lowering. These findings were evident both before and after receiving the simple educational message. A primary hypothesis was that participants would rate more lifting tasks which included the risk factor of vertical height as risker after they were exposed to the educational message (vertical height is the focus of the message). This hypothesis was supported as for the vertical lifting tasks the increase in mean risk ratings in post-tests ranged from 13 to 35%. \nAnalysis of the interview data helped explain specific findings from the ratings of lifting tasks that were unusual or unexpected. For example, for ratings for the task of lifting off the floor using the squat lifting technique were lower than expected and participants explained that they had heard in the past that squatting while lifting was the preferred approach. Similarly, participants ranked lowering objects as less risky than lifting based on their own perceptions when in fact the scientific evidence does not support differences in risk. An important message from the study is that simple messages can be effective but will be less effective if past experience/knowledge of participants is discordant. \nThe interviews provided rich information regarding factors contributing to MSD development in refugee workers. Findings suggest that due to the usual gradual onset of symptoms in the early stages, alongside the general lack of knowledge, MSDs are not considered a serious health concern. Many accept its development as a natural part of the work experience, and thus inevitable. Participants described how institutional and personal barriers played a role in their exposure to MSD risk factors in Canadian workplaces and their reluctance to report hazardous conditions even if they experienced musculoskeletal pain. Many participants reported to be lax about protecting themselves from work-related hazards when faced with the demands of their jobs and other factors that discouraged safe work practices. These influential considerations included environmental factors, e.g., managers’ attitudes which focused more on customer service or productivity, MSDs being seen as less important than injuries and accident prevention, small businesses being in a survival mode with no resources for MSD prevention, participants’ own economic transition and their need to keep their job, as well as different levels of discrimination embedded in workplace structures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.193

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0080.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.060
GPT teacher head0.330
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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