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Updated: Feb 7, 2026

A Novel Application of Musculoskeletal Ultrasound Imaging
Published on: September 17, 2013
Agriculture and musculoskeletal disorders in low- and middle-income countries
K Sakthiaseelan Kumaraveloo1,2, Christina Lunner Kolstrup3
1a Department of Clinical Sciences, Faculty of Medicine , Lund University , Malmo , Sweden.
Objectives:
To systematically explore and summarize the risk factors of work-related musculoskeletal disorders (WMSDs) among the agricultural workers in low- and middle-income countries (LMIC). In addition, to identify and analyze the methodological flaws in the reviewed studies.
Methods:
A comprehensive electronic literature search was conducted using PubMed, Medline, SCOPUS, CINAHL, Science Direct, Embase, Wiley Online Library, Google Scholar, and Web of Science databases. Three-phased screening process was undertaken to eliminate irrelevant publications. Assessment of methodological quality was done using a standardized assessment tool.
Results:
Eighteen cross-sectional studies were included in the narrative synthesis. Based on the median score of 38%, nine publications were classified as having higher methodological quality. Eight countries were represented in this review, mainly the South East Asia countries. Majority of the participants were rice farmers. Most common risk factors associated with WMSDs were physical factors (n = 10), followed by individual (n = 6) and psychosocial (n = 5) risk factors. A majority of the studies investigated the risk factors for spinal region. Several methodological weaknesses were noticed in the studies concerning outcome definition, assessment of potential confounders, generalizability, selection bias, information bias, and statistical analysis. Extensive heterogeneity across the studies prevented statistical pooling.
Conclusions:
The common anatomical region evaluated was the spine and the most reported risk factors were physical risk factors. Future researches in the LMIC should focus on conducting longitudinal studies that could infer temporality. Researchers should give more attention in defining the study population, evaluating the exposure and outcome in an unbiased way, and in executing reliable statistical analysis.
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