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

YANG Yan; FU Chuandong; JIANG Diwei; ZENG Jiancheng; HUANG Si; LI Gang; CHEN Fengqiong; LIU Yimin; WANG Zhongxu; WANG Zhi; JIA Ning

doi:10.16369/j.oher.issn.1007-1326.2024.02.004

Occupational Health and Emergency Rescue > 2024 > 42(2): 159-164. > DOI: 10.16369/j.oher.issn.1007-1326.2024.02.004

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

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

1.
Key Laboratory of Occupational Environment and Health of Guangzhou Twelfth People's Hospital, Guangzhou, Guangdong 510620, China
2.
Guangdong Provincial Work Injury Rehabilitation Center, Guangzhou, Guangdong 510440, China
3.
School of Basic Medical Sciences and Public Health, Jinan University, Guangzhou, Guangdong 510632, China
4.
School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong 510315, China
5.
Liaoning Provincial Health Supervision Center, Shenyang, Liaoning 110623, China
6.
Chongqing Center for Disease Control and Prevention, Chongqing 400042, China
7.
Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China

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Received Date: January 02, 2024
Available Online: April 27, 2024

Graphical Abstract

Abstract

Abstract

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.
- lower back pain,
- occupational factors,
- lifestyle factors,
- case-control study,
- interaction,
- work-related,
- musculoskeletal disorders

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References

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