Evaluate the Working Environments of Individuals Working From Home During Covid-19 Outbreak

NCT ID: NCT04342208

Last Updated: 2022-03-04

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

259 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-05-29

Study Completion Date

2020-08-01

Brief Summary

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The study aims to evaluate the working environments of individuals working from home during the covid-19 outbreak and the effect of the working environments on their musculoskeletal system.

Detailed Description

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The study will include people between the ages of 18-65 who work from home (works in the office before isolation) as a part of the Covid-19 isolation measure. The working environment of the individuals participating in the study will be evaluated with The Rapid Office Strain Assessment (ROSA). Musculoskeletal symptoms will be analyzed by using the Standardised Nordic Questionnaires (NMQ). Pain will be analyzed by using the Visual Analogue Scale (VAS) .

Conditions

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Musculoskeletal Pain

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

CROSS_SECTIONAL

Eligibility Criteria

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Inclusion Criteria

* between the ages of 18-65
* works from home
* works in the office before isolation

Exclusion Criteria

* have any systemic disease that may affect on musculoskeletal system such as fibromyalgia, myofacial pain syndrome, etc.
* have any vision problem
* have difficulty of understanding and following online survey
* have any physical disability
* have self-reported computer use for less than four hours on a typical workday
Minimum Eligible Age

18 Years

Maximum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Istanbul University - Cerrahpasa

OTHER

Sponsor Role lead

Responsible Party

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Gamze Polen Akşimşek

PhD student

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Ayşe Zengin Alpözgen, PhD

Role: STUDY_DIRECTOR

Istanbul University - Cerrahpasa

Locations

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İstanbul University Cerrahpasa

Istanbul, , Turkey (Türkiye)

Site Status

Countries

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Turkey (Türkiye)

References

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Barbieri DF, Srinivasan D, Mathiassen SE, Oliveira AB. Variation in upper extremity, neck and trunk postures when performing computer work at a sit-stand station. Appl Ergon. 2019 Feb;75:120-128. doi: 10.1016/j.apergo.2018.09.012. Epub 2018 Oct 3.

Reference Type BACKGROUND
PMID: 30509516 (View on PubMed)

Brewer S, Van Eerd D, Amick BC 3rd, Irvin E, Daum KM, Gerr F, Moore JS, Cullen K, Rempel D. Workplace interventions to prevent musculoskeletal and visual symptoms and disorders among computer users: a systematic review. J Occup Rehabil. 2006 Sep;16(3):325-58. doi: 10.1007/s10926-006-9031-6.

Reference Type BACKGROUND
PMID: 16933148 (View on PubMed)

Sonne M, Villalta DL, Andrews DM. Development and evaluation of an office ergonomic risk checklist: ROSA--rapid office strain assessment. Appl Ergon. 2012 Jan;43(1):98-108. doi: 10.1016/j.apergo.2011.03.008. Epub 2011 May 6.

Reference Type BACKGROUND
PMID: 21529772 (View on PubMed)

Kuorinka I, Jonsson B, Kilbom A, Vinterberg H, Biering-Sorensen F, Andersson G, Jorgensen K. Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon. 1987 Sep;18(3):233-7. doi: 10.1016/0003-6870(87)90010-x.

Reference Type BACKGROUND
PMID: 15676628 (View on PubMed)

Clark P, Lavielle P, Martinez H. Learning from pain scales: patient perspective. J Rheumatol. 2003 Jul;30(7):1584-8.

Reference Type BACKGROUND
PMID: 12858463 (View on PubMed)

Kahraman T, Genc A, Goz E. The Nordic Musculoskeletal Questionnaire: cross-cultural adaptation into Turkish assessing its psychometric properties. Disabil Rehabil. 2016 Oct;38(21):2153-60. doi: 10.3109/09638288.2015.1114034. Epub 2016 Jan 4.

Reference Type BACKGROUND
PMID: 26726840 (View on PubMed)

Other Identifiers

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GPA1347

Identifier Type: -

Identifier Source: org_study_id

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