1.Interpretation of T/WSJD 14.9-2024 Ergonomic Guidelines for the Prevention of Work-related Musculoskeletal Disorders: Part 9: Bus Driving Work
Wenyan HUANG ; Yaling ZOU ; Jie ZHANG ; Ning JIA ; Zhongxu WANG
China Occupational Medicine 2024;51(4):439-442
Bus drivers, as an important occupational group in urban public transportation system, are prone to suffer from work-related musculoskeletal disorders (WMSDs) due to prolonged fixed postures and repetitive movements. The T/WSJD 14.9-2024 Ergonomic Guidelines for the Prevention of Work-related Musculoskeletal Disorders: Part 9: Bus Driving Work is a recommended standard developed to prevent WMSDs among bus drivers. This standard, guided by the principles of T/WSJD 14.1-2020 Ergonomic Principle for the Prevention of Work-related Musculoskeletal Disorders: Part 1: General Principles, is based on a preliminary work of comprehensive review of domestic and international research, workplace on-site surveys and questionnaires, data analysis, and factor identification. It defines the scope of application, identifies relevant risk factors and potential affected body parts, and offers ergonomic solutions in the form of intervention examples. The issuance of this guideline as a organization standard will facilitate the promotion and implementation of intervention measures.
2.Changes of brain networks function in patients with primary dysmenorrhea during menstruation
Zhongxu ZHANG ; Cong ZHANG ; Yunsong ZHENG ; Feng ZHOU ; Yuan WANG ; Zhiqun WANG ; Xiaotong MA
Chinese Journal of Medical Imaging Technology 2024;40(11):1661-1666
Objective To investigate the changes of brain networks function in patients with primary dysmenorrhea(PDM)during menstruation based on topological attributes of brain network.Methods Brain resting-state functional MRI of 57 PDM patients(PDM group)and 50 healthy women(health control[HC]group)were prospectively collected within the first or the second day of menstruation.Clinical scores were obtained and compared between groups.Results Visual analogue scale,cox menstrual symptom scale,self-rating anxiety scale and self-rating depression scale scores in PDM group were all higher than those in HC group(all P<0.05).At the sparsity of 0.04-0.50,brain networks in both groups conformed to the small world attribute characteristics,and no significant difference of global attributes of brain network was found between groups(all P>0.05).The node efficiency(Ne)and node degree(Dc)of bilateral posterior cingulate gyrus(PCG),as well as De and node betweenness(Bc)of left middle frontal gyrus(MFG)in PDM group were all higher than those in HC group,while Ne and De of left inferior temporal gyrus in PDM group were lower than those in HC group(all P<0.01).Compared with HC group,the functional connections between left PCG and right calcarine fissure and surrounding cortex,right lingual gyrus and left MFG,as well as between right PCG and right dorsolateral superior frontal gyrus and left MFG,between right insula and left middle occipital gyrus enhanced in PDM group(all P<0.001).Conclusion In PDM patients,local brain networks function such as default mode network,central executive network and salience network were over-activated during menstruation,yet the overall brain network still had good coordination and organization.
3.Prevalence and influencing factors of work-related knee pain among workers in shoemaking industry
Jingwen ZHANG ; Yan YANG ; Si HUANG ; Jiaxin ZHENG ; Liangying MEI ; Jianchao CHEN ; Bo SHEN ; Huadong ZHANG ; Zhongxu WANG ; Zhi WANG ; Ning JIA
Journal of Environmental and Occupational Medicine 2024;41(6):648-654
Background Shoemaking industry workers are prone to work-related musculoskeletal disorders (WMSDs) due to long-term awkward postures during the work process. There is little research on the prevalence and influencing factors of WMSDs in the knee region of this industry, and it should be taken seriously. Objective To estimate the prevalence of work-related knee pain among shoemaking workers and analyze the related influencing factors. Methods A total of 6982 shoemaking workers were selected from 26 shoemaking factories in Guangdong, Hubei, Fujian, Chongqing, Shandong, Zhejiang, and Jingxi by convenience sampling. Prevalence of work-related knee pain in past year, demographic characteristics, occupational related factors, and work posture were collected by a cross-sectional survey using the electronic version of Musculoskeletal Disorder Questionnaire. Logistic regression analysis was used to analyze the influencing factors that may lead to work-related knee pain. Results This survey collected 6982 valid questionnaires with a recovery rate of 98.3%. The prevalence of work-related knee pain of shoemaking workers in the past 12 months was 13.0% (908/6982). According to the results of logistic regression analysis, compared with workers with less than 5 years of service, workers with 5-10 years of service (OR=1.21, 95%CI: 1.02, 1.45) and more than 10 years (1.53, 95%CI: 1.27, 1.83) showed a higher risk of knee WMSDs; sometimes, often and very frequent (reference : rarely or never) long-term standing (OR=1.33, 95%CI: 1.08, 1.64; OR=2.67, 95%CI: 2.10, 3.39; OR=2.75, 95%CI: 2.08, 3.63) and sometimes, often and very frequent (reference: rarely or never) long-term squatting or kneeling (OR=1.80, 95%CI: 1.47, 2.21; OR=2.43, 95%CI: 1.58, 3.75; OR=3.22, 95%CI: 1.66, 6.24) increased the risk of knee pain: long-term bending (OR=1.59, 95%CI: 1.34, 1.89) and often repeated movement of lower limbs and ankles (OR=1.48, 95%CI: 1.25, 1.75) were also risk factors for knee WMSDs among shoemaking industry workers (P<0.05). Adequate rest time (OR=0.58, 95%CI: 0.49, 0.68) and able to stretch or change leg posture (OR=0.75, 95%CI: 0.64, 0.88) reduced the risk of knee WMSDs (P<0.05). Conclusion In the shoemaking industry, length of service and awkward postures are risk factors for knee pain. The shoemaking enterprises should ensure that workers have sufficient rest time, reduce long-term standing, squatting, kneeling, and bending postures, as well as lower limbs repetition in order to reduce the occurrence of knee WMSDs of workers.
4.Whole-body vibration exposure characterization in bus drivers of Haikou City: A comparison between two health risk assessment methods
Yun CHEN ; Longyi WANG ; Zhongxu WANG ; Ning JIA ; Qingsong CHEN
Journal of Environmental and Occupational Medicine 2023;40(11):1264-1269
Background Long-term exposure to whole-body vibration (WBV) will affect the health of occupational drivers. However, research on the characteristics of WBV exposure by urban bus drivers and health risk evaluation is still insufficient. Objective To identify the characteristics of occupational WBV exposure of bus drivers serving 31 bus routes provided by three branches of Haikou Public Transport Group, and to evaluate their occupational health risks related to WBV. Methods A total of 31 out of 142 bus routes run by three branches of Haikou Public Transport Group were selected to monitor WBV exposure of 31 bus drivers during driving. WBV parameters such as triaxial frequency weighted acceleration (awx, awy, awz) and triaxial crest factor (CFx, CFy, CFz) of the drivers were determined with a six-channel human vibration meter. Two methods, 8-hour daily value of the weighted root mean square average weighted vibration [A(8)] based on aw and 8-hour daily value of vibration dose [VDV(8)] based on vibration dose value (VDV), were used for health risk assessment and classified WBV health risk results into three levels (high, medium, and low) by the exposure action value (EAV) and exposure limit values (ELV) for A(8) and VDV(8) recommended by ISO 2631-1:1997. The two evaluation methods, A(8) and VDV(8), were compared by Fisher's exact test. Results Regarding the WBV parameters, the vector sum of acceleration (av) was 0.321-0.680 m·s−2, the VDV of monitoring interval was 3.824-10.174 m·s−1.75, and the VDV(8) was 6.039-13.505 m·s−1.75; their values in mean ± standard deviation were (0.480±0.100) m·s−2, (6.987±2.737) m·s−1.75, and (9.773±4.540) m·s−1.75, respectively. Positive correlations were found between awx and awz, av and awz, CFx and CFy, CFy and CFz. No bus route's WBV exposure level was graded as high health risk by either A(8) or VDV(8). The number of routes graded as low health risk by A(8) was 26, while the number by VDV(8) was 12. The consistency rates of health risk levels evaluated by the two methods were 66.7% (6/9), 54.6% (6/11), and 45.5% (5/11) for the three bus group branches, respectively. The difference in WBV health risk assessment results between the two evaluation methods was not statistically significant. Conclusion Positive correlations are found between triaxial acceleration and triaxial crest factor. There is no difference in the results of using A(8) and VDV(8) to evaluate health risks of WBV in urban bus routes.
5.Analysis of work-related musculoskeletal disorders among automobile manufacturing logistics workers in Guangzhou
Peixian CHEN ; Yan YANG ; Zhiheng PENG ; Zhongxu WANG ; Ning JIA ; Zhi WANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2023;41(12):906-912
Objective:To investigate the occurrence of work-related musculoskeletal disorders (WMSDs) in logistics workers of automobile manufacturing enterprises in Guangzhou, and explore their potential categories and influencing factors, so as to provide basis for the prevention and control of WMSDs in logistics workers of automobile manufacturing enterprises.Methods:From April to May 2020, a convenient sampling method was adopted to select 1442 logistics workers in 2 automobile manufacturing enterprises in Guangzhou as the research objects. The incidence of WMSDs among them was investigated by using the Nordic Musculoskeletal Disorders Questionnaire, and the incidence pattern of WMSDs among the subjects was analyzed by the method of potential category analysis. Chi-square test and multiple logistic regression model were used to analyze the influencing factors of the disease.Results:The total prevalence of WMSDs was 42.9% (619/1442). The three parts with high prevalence of WMSDs were neck (23.5%, 339/1442), shoulder (21.3%, 307/1442) and lower back (19.1%, 275/1442). 69.0% (427/619) of the patients showed simultaneous disease in two or more sites. The subjects were divided into four latent groups by the analysis of latent categories: the group with multiple body parts (4.51%), the group with very low or no disease (70.39%), the group with shoulder and neck and upper back (11.37%), and the group with limbs and lower back (13.73%). Multivariate logistic regression showed that compared with the "very low or no disease group", the risk factors of multiple body parts of automotive logistics workers suffering from WMSDs mainly included: Working posture uncomfortable ( OR=3.10, 95% CI: 1.44~6.70, P=0.004), often bend and turn ( OR=2.36, 95% CI: 1.05~5.29, P=0.037), bend your knees homework for a long time ( OR=2.29, 95% CI: 1.17~4.47, P=0.015) ; Working posture uncomfortable ( OR=2.26, 95% CI: 1.51~3.38, P<0.001), bending the neck ( OR=1.68, 95% CI: 1.03~2.74, P=0.036), neck minister time keep the same position ( OR=1.81, 95% CI: 1.22~2.67, P= 0.003) It is a risk factor for shoulder, neck and upper back WMSDs; Risk factors for limb-lower back WMSDs include: Length > 10 years ( OR=2.16, 95% CI: 1.24~3.78, P<0.001), the working position uncomfortable ( OR=2.38, 95% CI: 1.63~3.48, P<0.001), bending the neck ( OR=1.66, 95% CI: 1.03~2.68, P=0.039) . Conclusion:The prevalence rate of WMSDs among logistics workers in automobile manufacturing enterprises is high, which has obvious characteristics of classification and comorbis, and is closely related to individual characteristics such as sufficient rest time and working posture of workers.
6.Analysis of work-related musculoskeletal disorders among automobile manufacturing logistics workers in Guangzhou
Peixian CHEN ; Yan YANG ; Zhiheng PENG ; Zhongxu WANG ; Ning JIA ; Zhi WANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2023;41(12):906-912
Objective:To investigate the occurrence of work-related musculoskeletal disorders (WMSDs) in logistics workers of automobile manufacturing enterprises in Guangzhou, and explore their potential categories and influencing factors, so as to provide basis for the prevention and control of WMSDs in logistics workers of automobile manufacturing enterprises.Methods:From April to May 2020, a convenient sampling method was adopted to select 1442 logistics workers in 2 automobile manufacturing enterprises in Guangzhou as the research objects. The incidence of WMSDs among them was investigated by using the Nordic Musculoskeletal Disorders Questionnaire, and the incidence pattern of WMSDs among the subjects was analyzed by the method of potential category analysis. Chi-square test and multiple logistic regression model were used to analyze the influencing factors of the disease.Results:The total prevalence of WMSDs was 42.9% (619/1442). The three parts with high prevalence of WMSDs were neck (23.5%, 339/1442), shoulder (21.3%, 307/1442) and lower back (19.1%, 275/1442). 69.0% (427/619) of the patients showed simultaneous disease in two or more sites. The subjects were divided into four latent groups by the analysis of latent categories: the group with multiple body parts (4.51%), the group with very low or no disease (70.39%), the group with shoulder and neck and upper back (11.37%), and the group with limbs and lower back (13.73%). Multivariate logistic regression showed that compared with the "very low or no disease group", the risk factors of multiple body parts of automotive logistics workers suffering from WMSDs mainly included: Working posture uncomfortable ( OR=3.10, 95% CI: 1.44~6.70, P=0.004), often bend and turn ( OR=2.36, 95% CI: 1.05~5.29, P=0.037), bend your knees homework for a long time ( OR=2.29, 95% CI: 1.17~4.47, P=0.015) ; Working posture uncomfortable ( OR=2.26, 95% CI: 1.51~3.38, P<0.001), bending the neck ( OR=1.68, 95% CI: 1.03~2.74, P=0.036), neck minister time keep the same position ( OR=1.81, 95% CI: 1.22~2.67, P= 0.003) It is a risk factor for shoulder, neck and upper back WMSDs; Risk factors for limb-lower back WMSDs include: Length > 10 years ( OR=2.16, 95% CI: 1.24~3.78, P<0.001), the working position uncomfortable ( OR=2.38, 95% CI: 1.63~3.48, P<0.001), bending the neck ( OR=1.66, 95% CI: 1.03~2.68, P=0.039) . Conclusion:The prevalence rate of WMSDs among logistics workers in automobile manufacturing enterprises is high, which has obvious characteristics of classification and comorbis, and is closely related to individual characteristics such as sufficient rest time and working posture of workers.
7.Correlation between work fatigue and work-related musculoskeletal pain or injury in the occupational population in China
Qing XU ; Huadong ZHANG ; Ruijie LING ; Yimin LIU ; Gang LI ; Zaoliang REN ; Yan YIN ; Hua SHAO ; Hengdong ZHANG ; Bing QIU ; Meibian ZHANG ; Dayu WANG ; Qiang ZENG ; Rugang WANG ; Jianchao CHEN ; Danying ZHANG ; Liangying MEI ; Yongquan LIU ; Jixiang LIU ; Chengyun ZHANG ; Tianlai LI ; Ning JIA ; Zhongxu WANG
China Occupational Medicine 2023;50(2):133-139
8.Simulation analysis on the distribution characteristics and movement rules of particulate matter in a convenience store
Xiaoxu LIU ; Xueyan ZHANG ; Ning JIA ; Qing XU ; Zhongxu WANG ; Xin SUN
China Occupational Medicine 2023;50(2):217-222
9.Work-related musculoskeletal disorders and their influencing factors among workers in a furniture factory
Jiancheng ZENG ; Yan YANG ; Siwu ZHONG ; Yimin LIU ; Zhongxu WANG ; Ning JIA ; Zhi WANG
Journal of Environmental and Occupational Medicine 2023;40(1):6-12
Background Furniture manufacturing is one of the typical labor-intensive industries, and workers in this industry face a high risk of work-related musculoskeletal disorders (WMSDs), which seriously affect the physical and mental health of workers. Objective To explore the prevalence and potential risk factors of WMSDs among workers in a large-scale furniture manufacturing factory. Methods A cross-sectional study of 3431 workers in a furniture factory in Guangdong Province was conducted from September to December 2019. Information including reported WMSDs in various body parts in the past year, demographic characteristics, work organization factors, job characteristics, and work postures was collected by an electronic version of Musculoskeletal Disorders Questionnaire. Pearson χ2 test and binary logistic regression were used to analyze the risk factors leading to WMSDs. Results The overall prevalence rate of WMSDs was 32.12% (1102/3431). The most common WMSDs symptoms occurred in the neck (16.85%), followed by the feet (15.27%), shoulders (14.81%), and hands (14.25%). The prevalence rates of WMSDs in the neck, shoulders, elbows, hands, legs, and feet were significantly different among different types of work (P<0.05). The results of multiple logistic regression analysis showed that individual factors, work organization factors, job characteristics, and awkward work postures were associated with the frequency of reporting WMSDs in specific parts of workers. Comparatively poor physical health (including moderate, poor, and very poor) was positively correlated with neck, shoulder, hand, and foot WMSDs (OR=1.479-4.077); working with an uncomfortable posture (OR=1.983) and doing the same task almost every day (OR=1.783) were positively correlated with neck pain; doing the same task almost every day (OR=2.408) and neck twisting for a long time (OR=1.830) were positively correlated with shoulder pain; bending wrists up and down frequently (OR=1.948) and bending wrists for a long time (OR=2.081) were positively correlated with hand pain; prolonged standing (OR=1.953) and often working overtime (OR=1.627) were positively correlated with feet pain; sufficient rest time was negatively correlated with WMSDs in the neck, shoulders, hands, and foot (OR=0.544-0.717). Conclusion The prevalence rate of WMSDs in furniture manufacturing workers is relatively high, and neck, feet, shoulders, and hands are the most involved body parts. The frequency of reporting WMSDs is related to individual factors, work organization factors, job characteristics, and awkward work postures.
10.Prevalence and influencing factors of work-related musculoskeletal disorders among workers in chemical pharmaceutical industry
Zhiheng PENG ; Weiyu MA ; Yinan HE ; Bo LUO ; Jinlan HUANG ; Hai ZHANG ; Jinwei ZHANG ; Zhongxu WANG ; Ning JIA ; Zhi WANG
Journal of Environmental and Occupational Medicine 2023;40(1):13-20
Background Work-related musculoskeletal disorders (WMSDs) are one of the major occupational health problems in the world. Pharmaceutical industry is an important part of China's national economy. At present, there are few related studies reported at home and abroad. Objective To investigate the status and influencing factors of WMSDs in chemical pharmaceutical industry. Methods A cross-sectional epidemiological survey was conducted among all workers from three chemical pharmaceutical enterprises in Guangzhou. The Musculoskeletal Disorders Questionnaire was used to collect information on demographic characteristics, symptoms of musculoskeletal disorders, types of work, work organization, and and work postures. Multiple logistic regression method was used to analyze the risk factors of WMSDs in chemical pharmaceutical workers. Results In this study, 563 workers were selected as subjects. The total prevalence rate of WMSDs symptoms in the chemical pharmaceutical workers was 43.9% (247/563), and the leading body part-specific prevalence rate from high to low was 34.3% in the lower back, 24.3% in the upper back, 24.0% in the shoulders, and 23.8% in the neck. The prevalence rate of WMSDs symptoms in multiple body parts (30.0%) was 2.16 times higher than that in single body part (13.9%), and the prevalence rate of WMSDs symptoms in four body parts was the highest (11.4%). The results of multiple logistic regression analysis showed that age ≥50 years (reference age <30 years) (OR=2.140, 95%CI: 1.054-4.345), often or very often (reference never/rarely) long-time head rotating (OR=2.695, 95%CI: 1.753-4.142) and long-time keeping arms above shoulders (OR=1.902, 95%CI: 1.108-3.265) increased the risk of reporting WMSDs symptoms (P<0.05). Regarding education level, workers with high school and technical secondary school (OR=0.333, 95%CI: 0.175-0.636) or college and above (OR=0.413, 95%CI: 0.216-0.790) education had a lower risk of reporting WMSDs symptoms than those with middle school or below (P<0.05). Conclusion The prevalence rate of reporting WMSDs symptoms in chemical pharmaceutical industry is high, the involving body parts are lower back, upper back, shoulders, and neck, and reporting simultaneous occurrence of WMSDs symptoms in multiple body parts is common. The chemical pharmaceutical manufacturers can reduce the risk of WMSDs by strengthening the training on workers' ergonomics knowledge, paying attention to the less educated personnel, protecting the elderly workers, and avoiding awkward work postures, like rotating head for a long time and raising arms over shoulders.

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