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Prevalence and risk factors analysis for low back pain among occupational groups in key industries of China

BACKGROUND: With the acceleration of industrialization and population aging, low back pain (LBP) has become the leading cause of life loss years caused by disability. Thus, it places a huge economic burden on society and is a global public health problem that needs urgent solution. This study aimed...

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Autores principales: Jia, Ning, Zhang, Meibian, Zhang, Huadong, Ling, Ruijie, Liu, Yimin, Li, Gang, Yin, Yan, Shao, Hua, Zhang, Hengdong, Qiu, Bing, Li, Dongxia, Wang, Dayu, Zeng, Qiang, Wang, Rugang, Chen, Jianchao, Zhang, Danying, Mei, Liangying, Fang, Xinglin, Liu, Yongquan, Liu, Jixiang, Zhang, Chengyun, Li, Tianlai, Xu, Qing, Qu, Ying, Zhang, Xueyan, Sun, Xin, Wang, Zhongxu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354373/
https://www.ncbi.nlm.nih.gov/pubmed/35931976
http://dx.doi.org/10.1186/s12889-022-13730-8
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author Jia, Ning
Zhang, Meibian
Zhang, Huadong
Ling, Ruijie
Liu, Yimin
Li, Gang
Yin, Yan
Shao, Hua
Zhang, Hengdong
Qiu, Bing
Li, Dongxia
Wang, Dayu
Zeng, Qiang
Wang, Rugang
Chen, Jianchao
Zhang, Danying
Mei, Liangying
Fang, Xinglin
Liu, Yongquan
Liu, Jixiang
Zhang, Chengyun
Li, Tianlai
Xu, Qing
Qu, Ying
Zhang, Xueyan
Sun, Xin
Wang, Zhongxu
author_facet Jia, Ning
Zhang, Meibian
Zhang, Huadong
Ling, Ruijie
Liu, Yimin
Li, Gang
Yin, Yan
Shao, Hua
Zhang, Hengdong
Qiu, Bing
Li, Dongxia
Wang, Dayu
Zeng, Qiang
Wang, Rugang
Chen, Jianchao
Zhang, Danying
Mei, Liangying
Fang, Xinglin
Liu, Yongquan
Liu, Jixiang
Zhang, Chengyun
Li, Tianlai
Xu, Qing
Qu, Ying
Zhang, Xueyan
Sun, Xin
Wang, Zhongxu
author_sort Jia, Ning
collection PubMed
description BACKGROUND: With the acceleration of industrialization and population aging, low back pain (LBP) has become the leading cause of life loss years caused by disability. Thus, it places a huge economic burden on society and is a global public health problem that needs urgent solution. This study aimed to conduct an epidemiological investigation and research on a large sample of workers in key industries in different regions of China, determine the incidence and distribution characteristics of LBP, explore the epidemic law, and provide a reference basis for alleviating global public health problems caused by LBP. METHODS: We adopted a modified epidemiological cross-sectional survey method and a stratified cluster sampling method. All on-duty workers who fulfill the inclusion criteria are taken as the research participants from the representative enterprises in key industries across seven regions: north, east, central, south, southwest, northwest, and northeast China. The Chinese version of the musculoskeletal disease questionnaire, modified by a standardized Nordic questionnaire, was used to collect information, and 57,501 valid questionnaires were received. Descriptive statistics were used, and multivariate logistic regression analysis (p < 0.05) was performed to explore the association between musculoskeletal disorders and potential risk factors. RESULTS: LBP annual incidence among workers in China’s key industries is 16.4%. There was a significant difference in LBP incidence among occupational groups across different industries (p < 0.05). The multivariate regression model showed the following as risk factors for LBP: frequent repetitive movements with the trunk, working in the same positions at a high pace, trunk position, frequently turning around with your trunk, often working overtime, lifting heavy loads (i.e., more than 20 kg), education level, staff shortage, working age (years), cigarette smoking, use of vibration tools at work, body mass index, lifting heavy loads (i.e., more than 5 kg), and age (years). Physical exercise, often standing at work, and absolute resting time were protective factors. CONCLUSION: LBP incidence among key industries and workers in China is high. Thus, it is urgent to take relevant measures according to the individual, occupational, and psychosocial factors of LBP to reduce the adverse impact of LBP on workers’ health.
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spelling pubmed-93543732022-08-06 Prevalence and risk factors analysis for low back pain among occupational groups in key industries of China Jia, Ning Zhang, Meibian Zhang, Huadong Ling, Ruijie Liu, Yimin Li, Gang Yin, Yan Shao, Hua Zhang, Hengdong Qiu, Bing Li, Dongxia Wang, Dayu Zeng, Qiang Wang, Rugang Chen, Jianchao Zhang, Danying Mei, Liangying Fang, Xinglin Liu, Yongquan Liu, Jixiang Zhang, Chengyun Li, Tianlai Xu, Qing Qu, Ying Zhang, Xueyan Sun, Xin Wang, Zhongxu BMC Public Health Research BACKGROUND: With the acceleration of industrialization and population aging, low back pain (LBP) has become the leading cause of life loss years caused by disability. Thus, it places a huge economic burden on society and is a global public health problem that needs urgent solution. This study aimed to conduct an epidemiological investigation and research on a large sample of workers in key industries in different regions of China, determine the incidence and distribution characteristics of LBP, explore the epidemic law, and provide a reference basis for alleviating global public health problems caused by LBP. METHODS: We adopted a modified epidemiological cross-sectional survey method and a stratified cluster sampling method. All on-duty workers who fulfill the inclusion criteria are taken as the research participants from the representative enterprises in key industries across seven regions: north, east, central, south, southwest, northwest, and northeast China. The Chinese version of the musculoskeletal disease questionnaire, modified by a standardized Nordic questionnaire, was used to collect information, and 57,501 valid questionnaires were received. Descriptive statistics were used, and multivariate logistic regression analysis (p < 0.05) was performed to explore the association between musculoskeletal disorders and potential risk factors. RESULTS: LBP annual incidence among workers in China’s key industries is 16.4%. There was a significant difference in LBP incidence among occupational groups across different industries (p < 0.05). The multivariate regression model showed the following as risk factors for LBP: frequent repetitive movements with the trunk, working in the same positions at a high pace, trunk position, frequently turning around with your trunk, often working overtime, lifting heavy loads (i.e., more than 20 kg), education level, staff shortage, working age (years), cigarette smoking, use of vibration tools at work, body mass index, lifting heavy loads (i.e., more than 5 kg), and age (years). Physical exercise, often standing at work, and absolute resting time were protective factors. CONCLUSION: LBP incidence among key industries and workers in China is high. Thus, it is urgent to take relevant measures according to the individual, occupational, and psychosocial factors of LBP to reduce the adverse impact of LBP on workers’ health. BioMed Central 2022-08-05 /pmc/articles/PMC9354373/ /pubmed/35931976 http://dx.doi.org/10.1186/s12889-022-13730-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Jia, Ning
Zhang, Meibian
Zhang, Huadong
Ling, Ruijie
Liu, Yimin
Li, Gang
Yin, Yan
Shao, Hua
Zhang, Hengdong
Qiu, Bing
Li, Dongxia
Wang, Dayu
Zeng, Qiang
Wang, Rugang
Chen, Jianchao
Zhang, Danying
Mei, Liangying
Fang, Xinglin
Liu, Yongquan
Liu, Jixiang
Zhang, Chengyun
Li, Tianlai
Xu, Qing
Qu, Ying
Zhang, Xueyan
Sun, Xin
Wang, Zhongxu
Prevalence and risk factors analysis for low back pain among occupational groups in key industries of China
title Prevalence and risk factors analysis for low back pain among occupational groups in key industries of China
title_full Prevalence and risk factors analysis for low back pain among occupational groups in key industries of China
title_fullStr Prevalence and risk factors analysis for low back pain among occupational groups in key industries of China
title_full_unstemmed Prevalence and risk factors analysis for low back pain among occupational groups in key industries of China
title_short Prevalence and risk factors analysis for low back pain among occupational groups in key industries of China
title_sort prevalence and risk factors analysis for low back pain among occupational groups in key industries of china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354373/
https://www.ncbi.nlm.nih.gov/pubmed/35931976
http://dx.doi.org/10.1186/s12889-022-13730-8
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