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Enregistrement W2888715465 · doi:10.1097/jom.0000000000001434

Additional Concerns About the Habitual Use of Active Workstations

2018· letter· en· W2888715465 sur OpenAlexaff
Thiffya Arabi Kugathasan, François Lecot, Marie-Eve Mathieu

Notice bibliographique

RevueJournal of Occupational and Environmental Medicine · 2018
Typeletter
Langueen
DomaineMedicine
ThématiquePhysical Activity and Health
Établissements canadiensUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Organismes subventionnairesnon disponible
Mots-clésDeskWork (physics)ProductivitySittingPsychologyMedicineApplied psychologyPhysical therapyMedical educationComputer scienceEngineering

Résumé

récupéré en direct d'OpenAlex

Readers are invited to submit letters for publication in this department. Submit letters online at http://joem.edmgr.com. Choose “Submit New Manuscript.” A signed copyright assignment and financial disclosure form must be submitted with the letter. Form available at http://www.joem.orgunder Author and Reviewer information. To the Editor: Office workers spend more than 60% of their time at work in a seated position1,2; thus, strategies to reduce sedentary time are important. Active workstations have been shown to be a potential solution to improve health3 without negatively affecting productivity parameters.4 However, most studies have been conducted in a laboratory setting and might not apply to current workplaces. Interestingly, a recent study by Mazzotta et al5 published in Journal of Occupational and Environmental Medicine evaluated sit-stand desk users in an occupational setting. They reported that in the workplace, most of the participants felt more productive (61%), had better posture (50%), and less musculoskeletal pain (50%) when using a sit-stand station. There was also a positive correlation between the time spent standing at the workstation and the overall standing time at work/d (r = 0.87; P < 0.001). Participants did, however, report that the following factors limited their use: unsuitable footwear, manual work involved in transitioning the desk between sit and stand position, and reduced workspace. Moreover, leg pain, back pain, paper work, and tasks involving concentration were the reasons highlighted by the participants for transitioning back from stand to sit positions.5 In our opinion, three complementary aspects deserve attention. First, work contexts are important to consider. Having a specific computer program required to complete daily work installed only at an active workstation would be a beneficial strategy for encouraging employees to use these types of workstations. In fact, in a recent implementation project that we conducted in Protégez-Vous offices, 67% responded that the reason why they worked at an active workstation was to use a program that was only available at such stations. Twenty-five percent performed other type of work that required a computer (reading an electronic document or surfing the internet) and 8.3% used Microsoft Office, while none performed paperwork at the active desks. Although not statistically significant, those who used the specific program used the active desk twice longer than those who used them for other types of work. This could be seen as “nudging,” which has been explored by Venema et al6 in the goal of increasing the standing time at sit-stand desks at work. Secondly, it is vital to study what happens in the long run to workers invited to use active desks, as Mazzotta et al5 evaluated for only 1 week. At Protégez-Vous, only 38% of responders reported a higher use of active workstations at their last use compared with their first use. Thirdly, there is an interest in other types of active desks when examining the habitual use of active workstations, since workers at Protégez-Vous used the different types of active desks (cycling and standing desks) that were provided to them. At this stage, more studies about workplaces are required. In addition to examining health and productivity outcomes, the characteristics of workers getting involved in the use of active desks should be considered in order to draw a more complete portrait of who initiates and who maintains active desk use. In Protégez-Vous, only 63% of employees tried the active workstations at least once, and those who started earlier did not have a greater average usage time compared with those who started using the workstations after 3 months. Moreover, installing an active workstation that is common to everyone could be a downside for its utilization. As reported by our participants, this setup requires them to move all their work material from their conventional seated desk to the active workstation. Perhaps, different strategies to successfully implement active workstations should be further explored. As reported by Mazzotta et al5, workers have limited knowledge of workstations. They also reported that participants claimed to not receiving any educational materials (61%), written instructions (56%), or occupational information (72%) concerning the use of active workstations. In Protégez-Vous, 74% felt that they were sufficiently equipped (scored more than 5 on a 7-point scale) to use an active workstation, but claimed that they required more instructions on how to use them properly. To reduce these barriers, education on how to use them ergonomically and on duration of usage (work/rest ratio) should be provided to employees as one of the strategies to ensure successful implementation of active desks.

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)0,007
score de la tête « metaresearch » (Gemma)0,047
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,014
Score d'incertitude au seuil0,047

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,047
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0020,003
Science ouverte0,0020,001
Intégrité de la recherche0,0040,003
Charge utile insuffisante (le modèle a refusé de juger)0,0140,003

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 Opus0,104
Tête enseignante GPT0,340
Écart entre enseignants0,236 · 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'étudeSans objet
Domainenon disponible
GenreCommentaire

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
Publié2018
Routes d'admission1
Résumé présentoui

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