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  1. How V, Hashim Z, Ismail P, Md Said S, Omar D, Bahri Mohd Tamrin S
    J Agromedicine, 2014;19(1):35-43.
    PMID: 24417530 DOI: 10.1080/1059924X.2013.866917
    Children are the vulnerable group in the agricultural community due to their early exposure to pesticides through the dynamic interplay between genetic predisposition, environment, and host-related factors. This study aims to identify the possible association between the depression in blood cholinesterase level and genotoxic effect among farm children. The results of micronuclei assay and comet assay showed that the reduced blood cholinesterase level from organophosphate pesticide exposure is significantly associated with an increase in chromosome breakage and DNA strand breaks. These genotoxicity end points suggest that farm children's cells experience early DNA damage that may lead to uncontrolled cell proliferation during their adulthood. Thus, farm children who grow up near pesticide-treated farmland have a higher probability of developing cancer than children with minimal or zero exposure to pesticides.
  2. Sulaiman HF, Ismail R, Mohd Yusoff H, Anuar N, Mohd Jamil MR, Daud F
    J Agromedicine, 2020 04;25(2):166-172.
    PMID: 31533524 DOI: 10.1080/1059924X.2019.1666763
    Objective: The Fuzzy Delphi Method (FDM) is one of the phases in Design and Development Research (DDR). It is a systematic method for tool development and validation. This article aims to validate an occupational zoonotic disease questionnaire using this technique. DDR is applied going through phase 1 (needs analysis), phase 2 (development and design), and phase 3 (usability).Method: In phase 1, information about safe work practices and occupational zoonotic exposure was obtained from discussions to verify predetermined domains as stated in The National Park Service survey on zoonotic disease exposure and risk. In phase 2, agreement from 14 experts about the domains was obtained using the FDM. In phase 3, a cognitive debriefing was performed to determine its usability for future studies. A total of five superior domains were verified, and their items were adapted. All domains and their items were submitted to experts to obtain consensus agreement.Results: A total of 31 (96.9%) passed the Triangle of Fuzzy Numbers and Defuzzification process with acceptable consensus agreement (78.8-91.9%) and threshold d value (0.07-0.14). Only four veterinarians were needed for cognitive debriefing to achieve the point of saturation.Conclusion: FDM in DDR is suitable to be applied by various professions for tool validation, as it is doable and cost and time effective. The Occupational Zoonotic Disease Questionnaire is now ready to be used for future studies in Malaysia.
  3. Kumaraveloo KS, Lunner Kolstrup C
    J Agromedicine, 2018;23(3):227-248.
    PMID: 30047854 DOI: 10.1080/1059924X.2018.1458671
    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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