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YANG Yan, FU Chuandong, JIANG Diwei, ZENG Jiancheng, HUANG Si, LI Gang, CHEN Fengqiong, LIU Yimin, WANG Zhongxu, WANG Zhi, JIA Ning. Multicenter case-control study on factors related to lower back pain[J]. Occupational Health and Emergency Rescue, 2024, 42(2): 159-164. DOI: 10.16369/j.oher.issn.1007-1326.2024.02.004
Citation: YANG Yan, FU Chuandong, JIANG Diwei, ZENG Jiancheng, HUANG Si, LI Gang, CHEN Fengqiong, LIU Yimin, WANG Zhongxu, WANG Zhi, JIA Ning. Multicenter case-control study on factors related to lower back pain[J]. Occupational Health and Emergency Rescue, 2024, 42(2): 159-164. DOI: 10.16369/j.oher.issn.1007-1326.2024.02.004

Multicenter case-control study on factors related to lower back pain

  • Objective To explore the main risk factors for the occurrence of low back pain (LBP) and provide a theoretical basis for future prevention and intervention of LBP.
    Methods Using stratified cluster sampling, LBP patients treated in 11 hospitals nationwide were selected as the case group (n = 394), and patients with other diseases or healthy individuals from the same hospitals were selected as the control group (n = 413) from December 2021 to December 2022. Data on general personal information, occupational factors, lifestyle, and socio-psychological factors were collected through electronic questionnaires. R-language statistical software was used to analyze the data. Multifactorial logistic regression analysis was employed to explore the influencing factors of LBP, and multiplicative and additive interaction models were used to analyze the interaction effects of occupational and lifestyle factors.
    Results The average age of the case group was (47.65 ± 11.24) years; the control group's average age was (46.54 ± 11.31) years. Multifactorial logistic regression analysis showed that compared to those who were underweight, did not engage in repetitive work, did not use mobile phones during commuting, and were dissatisfied with their salary, those who were overweight or obese, engaged in repetitive work, used mobile phones during commuting, and were satisfied with their salary had an increased risk of LBP ranging from 1.759 to 3.713 times (P < 0.05). Compared to those with an educational level of primary school or below and administrative personnel, those with higher educational levels and professional technicians, office workers, military personnel, and equipment operators had a lower risk of LBP ranging from 0.144 to 0.571 times (P < 0.05). Interaction analysis showed a multiplicative interaction between repetitive work and mobile phone use during commuting (OR=3.743, 95% CI: 2.181-6.424).
    Conclusions The occurrence of LBP was related to multiple individual, occupational, and lifestyle factors, and there may be a cumulative effect of work and lifestyle factors on the occurrence of LBP. Employers should take reasonable preventive measures to reduce the risk of LBP and ensure the occupational health of workers.
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