Evidence map›Paper›PMID 36415371›Full record

ArticleCureus2022

Fore-Warned Is Fore-Armed: Effect of Musculoskeletal Disorders on Sickness Absenteeism.

Varsha R Mokhasi

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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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

1 author.

Varsha R MokhasiDepartment of Community Medicine, Sri Siddhartha Medical College, Tumkur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Musculoskeletal disorders (MSDs) are one of the most common occupational diseases. MSDs cause an economic burden as they lead to disability, absenteeism, and reduced productivity. Although many risk factors have been associated with the incidence of MSDs, little is known about the predictive factors for the length of MSD-related absenteeism. The study aimed to estimate the prevalence of MSDs among garment factory workers, determine the predictive factors for length of sickness absence, and evaluate the association of these factors with time. Methodology This prospective, observational, community-based study was conducted among garment factory workers. A total of 430 participants were included in the study by multistage sampling to assess the prevalence and factors causing MSDs, followed by a one-year follow-up to analyze the MSD-associated predictors for sickness absence. The data were analyzed using SPSS version 22 (IBM Corp., Armonk, NY, USA). The chi-square test and logistic regression were used to test significance, and Cox regression was used to determine the predictive factors for sickness absence. Results The mean age of the participants was 29.36 years. The 12-month prevalence showed that the most affected region was the lower back (70%), followed by the upper back (40%), with some workers experiencing both. There was a significant relation between MSDs and higher age, low work experience, being overweight, and long work hours (p < 0.05). According to the multivariate analysis, the perceived pain (hazards ratio (HR) = 1.14), perceived physical workload (HR = 1.14), and visiting a specialist 12 months prior to the current absence (HR = 1.68) were significantly associated with a longer sickness absence. Conclusions The lower and upper back were most commonly affected. The predictors for absence revealed that physical work overload and pain perception had a predominant role in the duration of absence. Hence, an ergonomically acceptable workplace with considerate rest periods will help enhance productivity.

Indexed as

garment workersmusculoskeletal disordersoccupational hazardspredictive factorssickness absence

Identifiers

PMID36415371
PMCPMC9674109

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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.