IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i5p857-d212378.html
   My bibliography  Save this article

Prevalence and Work-Related Factors Associated with Lower Back Musculoskeletal Disorders in Female Shellfish Gatherers in Saubara, Bahia-Brazil

Author

Listed:
  • Maria Carolina Barreto Moreira Couto

    (Post-Graduate Program in Health, Environment, and Work, School of Medicine, Federal University of Bahia, Salvador 40026-010, Brazil)

  • Ila Rocha Falcão

    (Post-Graduate Program in Health, Environment, and Work, School of Medicine, Federal University of Bahia, Salvador 40026-010, Brazil)

  • Juliana dos Santos Müller

    (Department of Technology in Health and Biology, Federal Institute of Education, Science and Technology of Bahia, Salvador 40301-015, Brazil)

  • Ivone Batista Alves

    (Post-Graduate Program in Health, Environment, and Work, School of Medicine, Federal University of Bahia, Salvador 40026-010, Brazil)

  • Wendel da Silva Viana

    (Post-Graduate Program in Health, Environment, and Work, School of Medicine, Federal University of Bahia, Salvador 40026-010, Brazil)

  • Verônica Maria Cadena Lima

    (Department of Statistics, Institute of Mathematics and Statistics, Federal University of Bahia, Salvador 40170-115, Brazil)

  • Paulo Gilvane Lopes Pena

    (Post-Graduate Program in Health, Environment, and Work, School of Medicine, Federal University of Bahia, Salvador 40026-010, Brazil)

  • Courtney Georgette Woods

    (Department of Environmental Science and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA)

  • Rita Franco Rego

    (Post-Graduate Program in Health, Environment, and Work, School of Medicine, Federal University of Bahia, Salvador 40026-010, Brazil)

Abstract

Lower back musculoskeletal disorders (MSDs) are an important public health problem and the leading cause of disability worldwide, but with yet unknown prevalence among shellfish gatherers. To investigate the prevalence and work-related factors associated with lower back MSD in a population of female shellfish gatherers, an epidemiological cross-sectional study was carried out in Saubara, Bahia-Brazil, in 2013. The Brazilian version of the Job Content Questionnaire (JCQ) and the Nordic Musculoskeletal Questionnaire (NMQ), in addition to a questionnaire containing the physical demands adapted to the artisanal work, were applied to a random sample of 209 female shellfish gatherers. The prevalence of lower back MSD was 72.7%. Using multivariate logistic regression, the shellfish gatherers who had worked for more than 26 years in the activity showed a prevalence of 1.22 (95% CI: 1.04–1.44) times higher compared to those unexposed. Lower back MSD was 1.24 (95% CI: 1.08–1.42) times higher among those more exposed to work sitting with trunk flexion. Those performed manual handling and muscle force with the arms had a prevalence ratio of 1.18 (95% CI: 1.01–1.39). These results show the need for greater awareness of health and social welfare factors impacting workers in small-scale fisheries and will promote the elaboration of health care policies for this occupational class.

Suggested Citation

  • Maria Carolina Barreto Moreira Couto & Ila Rocha Falcão & Juliana dos Santos Müller & Ivone Batista Alves & Wendel da Silva Viana & Verônica Maria Cadena Lima & Paulo Gilvane Lopes Pena & Courtney Geo, 2019. "Prevalence and Work-Related Factors Associated with Lower Back Musculoskeletal Disorders in Female Shellfish Gatherers in Saubara, Bahia-Brazil," IJERPH, MDPI, vol. 16(5), pages 1-15, March.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:5:p:857-:d:212378
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/5/857/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/5/857/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nidhi Gupta & Caroline Stordal Christiansen & David M Hallman & Mette Korshøj & Isabella Gomes Carneiro & Andreas Holtermann, 2015. "Is Objectively Measured Sitting Time Associated with Low Back Pain? A Cross-Sectional Investigation in the NOMAD study," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-18, March.
    2. Kerr, M.S. & Frank, J.W. & Shannon, H.S. & Norman, R.W.K. & Wells, R.P. & Neumann, W.P. & Bombardier, C., 2001. "Biomechanical and psychosocial risk factors for low back pain at work," American Journal of Public Health, American Public Health Association, vol. 91(7), pages 1069-1075.
    3. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
    4. Juliana Dos Santos Müller & Ila Rocha Falcão & Maria Carolina Barreto Moreira Couto & Wendel Da Silva Viana & Ivone Batista Alves & Denise Nunes Viola & Courtney Georgette Woods & Rita Franco Rêgo, 2016. "Health-Related Quality of Life among Artisanal Fisherwomen/Shellfish Gatherers: Lower than the General Population," IJERPH, MDPI, vol. 13(5), pages 1-12, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bonhomme, Stphane & Robin, Jean-Marc, 2009. "Consistent noisy independent component analysis," Journal of Econometrics, Elsevier, vol. 149(1), pages 12-25, April.
    2. Fernando Castelló-Sirvent & Pablo Pinazo-Dallenbach, 2021. "Corruption Shock in Mexico: fsQCA Analysis of Entrepreneurial Intention in University Students," Mathematics, MDPI, vol. 9(14), pages 1-31, July.
    3. Matkovskyy, Roman, 2013. "To the Problem of Financial Safety Estimation: the Index of Financial Safety of Turkey," MPRA Paper 47673, University Library of Munich, Germany.
    4. Jha, Raghbendra & Murthy, K. V. Bhanu, 2003. "An inverse global environmental Kuznets curve," Journal of Comparative Economics, Elsevier, vol. 31(2), pages 352-368, June.
    5. Rodríguez-Fuentes, Carlos Javier & Hernández-López, Montserrat, 1997. "Análisis de diferencias estructurales interregionales determinantes en el impacto de la política monetaria," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 7, pages 141-157, Junio.
    6. Ivaldi, Enrico, 2013. "Proposal of a country risk index based on a factorial analysis - Una proposta di indice di rischio paese basato sull’analisi fattoriale: una applicazione ai paesi del sud del Mediterraneo e ai paesi d," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 66(2), pages 231-249.
    7. Vesselina Dimitrova & Georgi Marinov & Lino Manosperta, 2019. "Developing Low-Carbon Tourism In Puglia: Case Study Of I. Archeo.S Project," Economic Archive, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 2 Year 20, pages 16-32.
    8. Noor Nahar Begum & Sarabia Rahman, 2016. "An Analytical Study on Investors¡¯ Preference towards Mutual Fund Investment: A Study in Dhaka City, Bangladesh," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(10), pages 184-191, October.
    9. Coppola, A. & Ianuario, S. & Chinnici, G. & Di Vita, G. & Pappalardo, G. & D'Amico, D., 2018. "Endogenous and Exogenous Determinants of Agricultural Productivity: What Is the Most Relevant for the Competitiveness of the Italian Agricultural Systems?," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(2).
    10. De Nicola, Arianna & Gitto, Simone & Mancuso, Paolo, 2013. "Airport quality and productivity changes: A Malmquist index decomposition assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 67-75.
    11. Henk Kiers, 1994. "Simplimax: Oblique rotation to an optimal target with simple structure," Psychometrika, Springer;The Psychometric Society, vol. 59(4), pages 567-579, December.
    12. Dolores Gallardo-Vázquez, 2023. "Attributes influencing responsible tourism consumer choices: Sustainable local food and drink, health-related services, and entertainment," Oeconomia Copernicana, Institute of Economic Research, vol. 14(2), pages 645-686, June.
    13. Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," Working Papers halshs-03626503, HAL.
    14. Edyta Puskarczyk, 2020. "Application of Multivariate Statistical Methods and Artificial Neural Network for Facies Analysis from Well Logs Data: an Example of Miocene Deposits," Energies, MDPI, vol. 13(7), pages 1-18, March.
    15. Iversen, Sara V. & Naomi, van der Velden & Convery, Ian & Mansfield, Lois & Holt, Claire D.S., 2022. "Why understanding stakeholder perspectives and emotions is important in upland woodland creation – A case study from Cumbria, UK," Land Use Policy, Elsevier, vol. 114(C).
    16. Ponzoa, José M. & Gómez, Andrés & Mas, José M., 2023. "EU27 and USA institutions in the digital ecosystem: Proposal for a digital presence measurement index," Journal of Business Research, Elsevier, vol. 154(C).
    17. Thomas Despois & Catherine Doz, 2023. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 533-555, June.
    18. Xia Vivian Zhou & Kimberly L. Jensen & James A. Larson & Burton C. English, 2021. "Farmer Interest in and Willingness to Grow Pennycress as an Energy Feedstock," Energies, MDPI, vol. 14(8), pages 1-16, April.
    19. Matkovskyy, Roman & Bouraoui, Taoufik & Hammami, Helmi, 2016. "Analysing the financial strength of Tunisia: An approach to estimate an index of financial safety," Research in International Business and Finance, Elsevier, vol. 38(C), pages 485-493.
    20. Chuanbo Shen & Solomon Asante-Okyere & Yao Yevenyo Ziggah & Liang Wang & Xiangfeng Zhu, 2019. "Group Method of Data Handling (GMDH) Lithology Identification Based on Wavelet Analysis and Dimensionality Reduction as Well Log Data Pre-Processing Techniques," Energies, MDPI, vol. 12(8), pages 1-16, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:5:p:857-:d:212378. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.