Evidence map›Paper›PMID 33824920›Full record

ArticleThe South African journal of physiotherapy2021

Prevalence of musculoskeletal disorders amongst flower farm workers in Kenya.

Jotham M Munala, Benita Olivier, Wallace M Karuguti, Simon M Karanja

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Article in The South African journal of physiotherapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

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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

4 citing papers in PubMed.

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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

4 authors.

Jotham M MunalaDepartment of Physiotherapy, Faculty of Rehabilitative Sciences, Kenya Medical Training College, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-6485-1301
Benita OlivierDepartment of Physiotherapy, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Arica.ORCID https://orcid.org/0000-0001-9287-8301
Wallace M KarugutiDepartment of Physiotherapy, School of Medicine, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-2705-0599
Simon M KaranjaDepartment of Public Health, Faculty of Public Health, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.ORCID https://orcid.org/0000-0001-9989-7011

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWork-related musculoskeletal disorders (WMSDs) are a global public concern for health and social-care systems, as well as individuals. They are the second-most prevalent cause of disability globally.

objectivesThe primary objective was to determine the prevalence of WMSDs amongst flower farm workers. The secondary objective was to determine the association between the socio-demographic characteristics and the presence of WMSDs in the previous 12-month period.

methodA cross-sectional descriptive study was conducted. A sample of 270 participants was drawn from 897 farm workers. Quantitative data related to musculoskeletal disorders were collected using the Nordic Musculoskeletal Questionnaire (NMQ). Descriptive statistics were undertaken using frequencies and percentages. Inferential statistics were analysed using a chi-squared test (X

resultsA total of 184 (68.1%) respondents reported musculoskeletal discomfort. Amongst the 184 respondents, 178 were performing general farm work. Most 103 (38.1%) of the WMSDs were reported in the lower back. There was a strong association between job designation as a general worker (

conclusionFlower farm workers in Kenya were found to be heavily burdened by WMSDs. Furthermore, the job designation, older age, as well as having worked for a long time, predisposes workers to the risk of developing WMSDs. CLINICAL IMPLICATIONS: The high prevalence of WMSDs necessitates policy reform in the flower farm industry.

Indexed as

chronic painfarm workersmusculoskeletal painprevalencework-related musculoskeletal disorders

Identifiers

PMID33824920
PMCPMC8008086

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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.