Evidence map›Paper›PMID 40814527›Full record

ArticleJournal of family medicine and primary care2025

Exploring musculoskeletal disorders and ergonomic challenges among software professionals: A cross sectional study.

Ruchi Chaturvedi, Sumaiya Ahmad, Shweta Rajpal, Avi Singh, Jamal Masood

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ruchi ChaturvediDepartment of Community Medicine, Affiliated to Era's Lucknow Medical College and Hospital, Lucknow, Uttar Pradesh, India.
Sumaiya AhmadDepartment of Community Medicine, Affiliated to Era's Lucknow Medical College and Hospital, Lucknow, Uttar Pradesh, India.
Shweta RajpalDepartment of Community Medicine, Affiliated to Era's Lucknow Medical College and Hospital, Lucknow, Uttar Pradesh, India.
Avi SinghDepartment of Community Medicine, Affiliated to Era's Lucknow Medical College and Hospital, Lucknow, Uttar Pradesh, India.
Jamal MasoodDepartment of Community Medicine, Affiliated to Era's Lucknow Medical College and Hospital, Lucknow, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Musculoskeletal disorders (MSDs) significantly affect global health, with a high prevalence among software professionals due to prolonged sedentary behaviour and suboptimal ergonomic practices. In India, limited research exists on the burden and ergonomic challenges of MSDs in the IT sector, necessitating this study. Materials and Methods: An analytical cross-sectional study was conducted among 200 software professionals employed in multinational companies in India. Data were collected over 6 months using an online self-administered questionnaire comprising sociodemographic details, ergonomic practices and the Nordic Musculoskeletal Questionnaire (NMQ). Purposive sampling and snowball techniques ensured participant diversity. Descriptive statistics summarized data, while logistic regression identified significant predictors of MSDs. Results: The prevalence of MSDs was 72% during last 12 months with the lower back (66.7%) and neck (56.9%) being the most affected regions. Women were at a significantly lower risk (OR = 0.403, Conclusion: The study highlights a significant burden of MSDs among Indian software professionals, emphasizing the need for workplace interventions focusing on ergonomic training, improved workstation design, and awareness about early medical consultation. Future research should assess the efficacy of these strategies to mitigate MSD risks and enhance occupational health outcomes.

Indexed as

Ergonomicsmusculoskeletal disordersNordic musculoskeletal questionnairesoftware professionals

Identifiers

PMID40814527
PMCPMC12349777

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LicenceCC BY-NC-SA
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.