Table · dataset · 2026
Supplementary file 1_Musculoskeletal symptoms among teleworkers assessed using validated tools: a systematic review and single-arm meta-analysis.docx
Listed in HKU DataHub and figshare and Loughborough Research Repository — shown once because both records carry DOI 10.3389/fpubh.2026.1941061.s001
Background<p>Work-related musculoskeletal disorders are common in teleworkers, but reported prevalence rates are inconsistent.
Description
This study aimed to estimate the pooled prevalence of musculoskeletal symptoms and to quantify ergonomic risk in teleworkers through single-arm meta-analysis.</p>Methods<p>Two reviewers searched PubMed, Scopus, Web of Science, and EBSCO from database inception to March 19, 2026 for observational studies reporting musculoskeletal symptoms or ergonomic risk in teleworkers assessed using validated instruments.
A random-effects single-arm meta-analysis was performed to calculate pooled prevalence estimates and pooled mean scores with 95% confidence intervals (CI) and prediction intervals (PI).</p>Results<p>Twenty-one studies were included. Nordic-based questionnaires (n = 13) were the most frequently used instruments for assessing musculoskeletal symptoms, while the Rapid Office Strain Assessment (ROSA; n = 6) and Maastricht Upper Extremity Questionnaire (n = 4) were the most commonly used ergonomic assessment tools.
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Most studies were rated as moderate quality based on the Newcastle–Ottawa Scale. Pooled prevalence analysis (5 studies, n = 2,215 teleworkers) showed the highest prevalence for neck symptoms (54.9%; 95%CI 20.8–85.0%), followed by shoulder symptoms (52.8%; 95%CI 34.1–70.7%) and low back symptoms (49.0%; 95%CI 25.4–73.1%), with substantial between-study heterogeneity. Pooled ROSA total scores (6 studies, n = 1,086 teleworkers) indicated moderate-to-high ergonomic risk (mean score, 4.27; PI 2.58–5.95).
Regarding ROSA components (5 studies, A–C), section A (chair) yielded the highest mean score (4.07; 95% CI 2.98–5.16), followed by section C (monitor and telephone: 3.04; 95% CI 2.69–3.40) and section B (keyboard and mouse: 2.18; 95% CI 1.80–2.56).</p>Conclusion<p>Very low-certainty evidence suggests that neck, shoulder, and low back symptoms are prevalent among teleworkers. Pooled ROSA estimates indicated moderate ergonomic risk, supporting the need for preventive ergonomic strategies and standardized assessment methods in teleworking populations.</p>Systematic review registration<p>doi.org/10.17605/OSF.IO/EMVYG</p>
Links
Where it is published
- DOI doi.org/10.3389/fpubh.2026.1941061.s001 ↗
DOI / persistent id · from datahub hku hk
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from datahub hku hk
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Chemistry · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Humanities · Humanities · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Psychology & Behavioral Science · Social Science · Social Science
- Inferred from text
- Human resources and industrial relations 71%
Provenance · 3 source records, 31 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| HKU DataHub | oai:figshare.com:article/34009152 | 9 d ago | JSON v1 |
| figshare | oai:figshare.com:article/34009152 | 8 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/34009152 | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].anzsrc:group:3505 | enrichment · datahub hku hk | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| description | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/description |
| license | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/rights |
| publication_date | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| title | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/title |