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Study on the Associations of Individual and Work-Related Factors with Low Back Pain among Manufacturing Workers Based on Logistic Regression and Structural Equation Model

Author

Listed:
  • Yidan Dong

    (Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 100191, China)

  • Xu Jin

    (Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 100191, China)

  • Jingjing Wang

    (Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 100191, China)

  • Nazhakaiti Maimaiti

    (Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 100191, China)

  • Lihua He

    (Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 100191, China)

  • Fujiang Wang

    (Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 100191, China)

  • Xianning Jin

    (Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 100191, China)

  • Shijuan Wang

    (Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 100191, China)

  • Zhongbin Zhang

    (National Center for Occupational Safety and Health, NHC, Beijing 102308, China)

  • Mikael Forsman

    (Institute of Environmental Medicine, Karolinska Institutet, 17177 Stockholm, Sweden
    Division of Ergonomics, KTH Royal Institute of Technology, 14157 Huddinge, Sweden)

  • Liyun Yang

    (Institute of Environmental Medicine, Karolinska Institutet, 17177 Stockholm, Sweden
    Division of Ergonomics, KTH Royal Institute of Technology, 14157 Huddinge, Sweden)

Abstract

Work-related musculoskeletal injuries are one of the major occupational health issues of the workers, especially low back pain (LBP). The aim of this study was to survey the prevalence of LBP among manufacturing workers and to identify associations of individual and work-related factors with LBP. A cross-sectional questionnaire study was performed with 1173 participating manufacturing workers. The questionnaire included individual factors, psychosocial and physical exposures, and musculoskeletal discomfort. It was analyzed by logistic regression and structural equation modeling (SEM). The 1-year prevalence of LBP among Chinese manufacturing workers was 33.6%. Logistic regression analysis showed that job tenure, awkward postures, vibration and job demand were positively—while social support and job control were negatively associated with LBP ( p < 0.05). The SEM results indicated that, as shown in other studies, job types, job tenure, postural load, high job demand, low job control and vibration were directly associated with LBP, but also that job types, high job demand, low social support and vibration may have indirect effects on LBP—mediated by postural load.

Suggested Citation

  • Yidan Dong & Xu Jin & Jingjing Wang & Nazhakaiti Maimaiti & Lihua He & Fujiang Wang & Xianning Jin & Shijuan Wang & Zhongbin Zhang & Mikael Forsman & Liyun Yang, 2021. "Study on the Associations of Individual and Work-Related Factors with Low Back Pain among Manufacturing Workers Based on Logistic Regression and Structural Equation Model," IJERPH, MDPI, vol. 18(4), pages 1-14, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:1525-:d:494183
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    References listed on IDEAS

    as
    1. Griffith, L.E. & Shannon, H.S. & Wells, R.P. & Walter, S.D. & Cole, D.C. & Côté, P. & Frank, J. & Hogg-Johnson, S. & Langlois, L.E., 2012. "Individual participant data meta-analysis of mechanical workplace risk factors and low back pain," American Journal of Public Health, American Public Health Association, vol. 102(2), pages 309-318.
    2. Beatriz Rodríguez-Romero & Michelle D Smith & Alejandro Quintela-del-Rio & Venerina Johnston, 2020. "What Psychosocial and Physical Characteristics Differentiate Office Workers Who Develop Standing-Induced Low Back Pain? A Cross-Sectional Study," IJERPH, MDPI, vol. 17(19), pages 1-14, September.
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