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Demonstrating relationships between workplace demands and exposures related to musculoskeletal disorders and stress-related health outcomes

2015· dissertation· en· W961621180 sur OpenAlexfundaboutno aff
Sophia Berolo

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2015
Typedissertation
Langueen
DomaineHealth Professions
ThématiqueOccupational Health and Safety in Workplaces
Établissements canadiensnon disponible
Organismes subventionnairesWorkplace Safety and Insurance BoardU.S. Department of Health and Human Services
Mots-clésMusculoskeletal disorderPsychologyEnvironmental healthMedicineHuman factors and ergonomicsPoison control
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Musculoskeletal disorders (MSD) and outcomes related to stress, such as mental health disorders, are important sources of pain, distress, disability, and costs in Canadian workplaces. Recent initiatives have highlighted the importance of preventing MSD and stress-related outcomes at work, however they are typically treated separately, each having their own literature, prevention approaches, and programs; there has been a push to recognize their connected nature. The objectives of the thesis were therefore to: 1) develop a framework to guide measurement of physiological responses related to workplace demands in both the physical and psychosocial domain, 2) examine relationships between workplace demands (in the physical and psychosocial domain) and exposures related to MSD and stress-related health outcomes during simulated computer work, and 3) examine relationships between potentially straining aspects of call centre work and exposures related to MSD and stress-related outcomes through a field study. \nThe framework was developed to recognize the connected nature of work-related MSD and stress-related outcomes. It is intended that the framework be used as a guide to measure exposure and outcome variables in a comparable manner across the physical and psychosocial domains in future laboratory and field studies. The multidisciplinary approach offered a foundation to examine common workplace risk factors for physiological responses related to MSD and stress-related outcomes in the studies comprising the thesis; an approach that could make possible more effective and efficient programs to target both work-related MSD and stress-related outcomes. The integrated and multidisciplinary framework substantially contributed to a limited body of literature. \nTwo laboratory studies targeted the second objective of the thesis. The aim of the first was to examine the effect of mechanical demand on scapular orientation during computer work. Maximum scapular motions for rotation, protraction/retraction, and tilt were documented while participants’ arms were in postures typical of computer work. The identification of these ranges permitted quantification of normalized mean position during different computer tasks, and will permit future research to better describe scapular orientation during sedentary work. Compared to a neutral posture, participants held a more laterally rotated and protracted position of the scapula when they carried out computer tasks, potentially compressing tissues in the subacromial space. \nThe study also illustrated it was not the change in mechanical demand that produced statistically significant differences in the mean duration and size of scapular movements during computer work, but rather the change in cognitive demand. The second laboratory study further investigated the effect of cognitive demand on physiological responses related to MSD, as well as those associated with stress-related outcomes, during computer work. Changes in cognitive demand related to perceptions of increased workload, increased sympathetic nervous system activity, and changes in the duration and size of scapular movements. Together, the findings from the two laboratory studies showed that when cognitive demand increased, both the duration and size of scapular movements decreased, as did the change in muscle activation (for the right and left upper trapezius) associated with the movements. The observed reduction in movement during mentally demanding tasks may be associated with static postures, a risk factor for discomfort and pain among computer users. \nThe field study was carried out in two parts. Part A explored, through semi-structured interviews, potentially straining aspects of work for call centre agents, with an emphasis on agent-client interactions, and Part B examined relationships between agent-client interactions and physiological responses monitored over a work shift. Results from Part B showed greater activation of the trapezius muscle and the sympathetic nervous system when calls were perceived to be challenging or overwhelming compared to when calls were perceived to be non-straining. Findings from Part A suggest that aspects of both the content of work, for example the regulation of emotion, and the context of work, for example workforce surveillance, condition the interactions agents have with clients every day. Future efforts should consider how these features of work might be improved to minimize agents’ exposure to situations that elicit physiological stress responses. \nThis work provided evidence of common workplace risk factors for MSD and stress-related health outcomes: 1) cognitive demand among computer users, and 2) perceptions of psychosocial demand among call centre agents. These findings should encourage stakeholders in research and in the workplace to integrate prevention efforts for MSD and stress-related outcomes to more effectively and efficiently target primary prevention.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,011
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,010
Score d'incertitude au seuil0,021

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,011
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,027
Tête enseignante GPT0,342
Écart entre enseignants0,315 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2015
Routes d'admission2
Résumé présentoui

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