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Objective To investigate the awareness of occupational health knowledge and concept of front-line workers in the automobile manufacturing industry. Methods A total of 1 188 front-line workers from 47 automobile manufacturing enterprises in Guangdong Province were selected as the research subjects using the judgment sampling method. The awareness of occupational health knowledge and concept of the workers was investigated using the Personal Questionnaire for National Survey of Occupational Health Literacy for Key Populations. Results The median (25th and 75th percentiles) awareness of occupational health knowledge and concept among the research subjects was 56.00% (44.00%, 64.00%). The awareness was higher among male workers than female workers (P<0.05). The awareness was higher among married workers than workers with other marital status (P<0.05). The awareness of workers with an education level of middle school or below was lower than those in the senior high school and junior college group and bachelor's degree or above group (all P<0.05). The awareness of workers in the group with personal monthly income <5 000 was lower than that in the other two income groups with personal monthly income ≥5 000 (all P<0.05). The awareness of workers in medium and large enterprises was higher than that of workers in small and micro enterprises (all P<0.05). The awareness of workers in foreign-funded enterprises was higher than that in private enterprises and other enterprises (all P<0.05). The awareness of workers with job tenure >5-10 and >10 years was higher than that in workers with job tenure of 1-≤5 years (P<0.05). The awareness for the 25 items of occupational health knowledge and concept among the research subjects ranged from 6.14% to 96.72%, with an average awareness of 54.46% for the 25 items. Conclusion The awareness of occupational health knowledge and concept of front-line workers in automobile manufacturing industry is not high in general, and it is influenced by gender, marriage status, education level, personal monthly income, enterprise nature and scale, and job tenure.
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Objective To analyze the current status and influencing factors of occupational health literacy(OHL) among workers in automobile manufacturing industry in Beijing City. Methods A total of 1 639 frontline workers from 15 automobile manufacturing enterprises in Beijing City were selected using stratified cluster sampling method. The National Occupational Health Literacy Monitoring for Key Groups Questionnaire was used to investigate the OHL of the workers. Results The overall awareness of OHL was 60.5% in these 1 639 automobile manufacturing workers. The awareness of OHL in the four dimensions, from high to low, were basic knowledge of occupational health protection, info of healthy working style and behaviors, legal knowledge of occupational health and basic skills of occupational health protection (82.1% vs 73.2% vs 57.5% vs 43.3%, P<0.01). The multivariate logistic regression analysis results showed that gender, marriage status, education level, personal monthly income and enterprise scale were influencing factors of OHL of automobile manufacturing workers (all P<0.05). Conclusion The OHL awareness among workers of automobile manufacturing industry in Beijing City, especially the basic skills of occupational health protection and the legal knowledge of occupational health, needs to be improved. It is essential to focus on promotion and intervention of occupational health in female workers, those with low education levels, low-income levels, and workers in small- and medium-sized enterprises.
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Globally, manufacturing workers are one of the most vulnerable groups to occupational injuries. Occupational injuries can lead to absenteeism, disability or even death, and most of the inflicted workers involve young adults aged 18-40 years, suggesting a safety and health problem that needs close attention. In the working environment of manufacturing industry, there are a variety of occupational injury risk factors, involving individuals, equipment, environment, and management, which should be considered comprehensively. This study found comprehensive research coverage on the influencing factors of occupational injuries in manufacturing industry at individual, environmental, and management levels at home and abroad, and rich research results on the impacts of psychological factors on occupational injuries. However, factors associated with occupational injuries in equipment safety and engineering like man-machine environment need further research. Influencing factors at all levels should be comprehensively considered in the surveillance and intervention of occupational injuries in manufacturing industry to protect health and safety of workers.
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Background Falls are one of the most important types of occupational injuries. The incidence of falls is high in manufacturing workers. However, most of the studies on falls in China focus on primary and secondary school students and the elderly, and there are few studies on falls in the occupational population. Objective To evaluate efficiency of Bayesian network model in predicting fall injury risks in manufacturing enterprise staff, and impacts from work content, work environment, enterprise status, and health management on falls and their mutual relationships, and provide a scientific basis for enterprises to carry out fall-associated injury intervention. Methods Data from the European Survey of Enterprises on New and Emerging Risks (ESENER) were used. The survey provided data on work content, working environment, enterprise status, and health management of enterprises in European countries. The outcome indicator, was fall injury risks reported in enterprises. A total of 23 potential impact factors covering work content, working environment, enterprise status, and health management were screened by least absolute shrinkage and selection operator (LASSO) regression, followed by Bayesian network model for structure learning and parameter learning and area under the curve (AUC) for model fitness evaluation, using R and Netica 5.18. Diagnostic inference analysis was also conducted to identify key influencing factors and key influencing chains of fall injury risks based on the change rate of fall injury risks. Results In 5997 enterprises surveyed, 2573 (42.9%) enterprises reported fall injury risks. Ordered by their coefficient estimates from high to low, the 14 variables (mean-squared error=0.20) selected by LASSO regression were: manual handling, repetitive arm movement, poor posture, using desktop computers, and using robots in the category of work content; abnormal temperature and noise in the category of working environment; company size and employee quality in the category of enterprise status; mental health training, regular risk assessment, availability of psychologists, health and safety procedures, and provision of psychological counseling in the category of health management. The fitting result of Bayesian network model for fall injury risks was good (AUC=0.779). The Bayesian network diagnostic inference identified five key influencing factors, including abnormal temperature (change rate=35.9%), poor posture (change rate=27.3%), noise (change rate=23.4%), manual handling (change rate=18.2%), and repetitive arm movement (change rate=5.1%). The key influencing chain was "manual handling - poor posture - repetitive arm movement - fall injury risks" (combined change rate=16.9%). Conclusion The Bayesian network model has a good predictive performance in predicting the risk of falls in manufacturing enterprises. Manufacturing enterprises need to focus on jobs involving manual handling and repetitive arm movement, identify and improve workers' poor posture and mental health problems, and avoid workers working in harsh temperature or noise environment.
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Background Occupational injuries, which can result in absenteeism, disability, or death, are closely related to poor working conditions. However, the improvement of operating conditions are often time-consuming and require significant economic inputs. Both occupational psychology and enterprise risk factors have been proved to be related to the occurrence of occupational injuries, but their roles in the influence path of adverse working conditions leading to occupational injuries remain unclear. Objective To explore the roles of occupational psychology and enterprise risk factors in the impact of adverse working conditions on occupational injury, so as to provide a scientific basis for enterprises with adverse working conditions to carry out targeted occupational injury intervention programs. Methods The survey data of 5997 manufacturing enterprises were obtained from the European Survey of Enterprises on New and Emerging Risks (ESENER) database. The data on enterprise risk characteristics, occupational injuries, working conditions, and occupational psychological factors were extracted and assigned. Occupational injury differences by enterprise categories were examined by chi-square test. Correlations between interest variables were evaluated by Spearman test. Path analysis with Bootstrap method was conducted using AMOS 26 software, and ratio of chi-square statistic to degree of freedom (χ2/ν), comparative fit index (CFI), Tucker-Lewis index (TLI), and root mean square error of approximation (RMSEA) were used to evaluate the path model candidates. The effect size and its proportion were calculated for variables (occupational psychological factors, enterprise risk factors, and adverse working conditions) included in the final model. Results The M (P25, P75) scores of occupational injuries, adverse working conditions, and occupational psychological factors were 40 (20, 50), 50 (30, 60), and 20 (10, 30), respectively. The enterprises that reported occupational injuries accounted for 25.5% (1550 enterprises) of the total enterprises. Proportions of the enterprises that reported occupational injuries varied significantly by company scale, branch companies, temporary employment, language barriers, and establishment time (P<0.05). The results of Spearman test showed that occupational injuries were positively correlated with working conditions (rs=0.440), occupational psychological factors (rs=0.205), company scale (rs=0.307), temporary employment (rs=0.282), and language barriers (rs=0.158); but negatively correlated with branch companies (rs=−0.180) and establishment time (rs=−0.176) (P<0.05). In the path analysis, the fitness indexes of the final model were χ2/ν=2.85, CFI=0.997, TLI=0.993, and RMSEA=0.018 (90%CI: 0.011, 0.025). The indirect effect size values and constituent ratios of enterprise risk factors and occupational psychological factors in the effect of adverse working conditions on occupational injuries were 0.166 (30.01%) and 0.013 (3.13%) respectively. The indirect effect size value of occupational psychological factors in the effect of enterprise risk factors on occupational injuries and its constituent ratio were 0.022 and 6.85%. Conclusion Enterprises with adverse working conditions may control the risk of occupational injuries by offering better solutions to surmount language barriers and temporary employment, developing occupational psychological intervention and optimization programs such as improving working hours system. At the same time, large enterprises, enterprises without branches, or enterprises with a long history are the focus of occupational injury prevention and control.
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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.
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Background Manufacturing industry is the main body of China's national economy, and manufacturing employees provide solid guarantee and support for the vigorous development of China's manufacturing industry. The research on job burnout of manufacturing employees is helpful to prevent or alleviate the health damage and economic loss caused by job burnout. Objective To investigate the status and influencing factors of job burnout among manufacturing employees in China, and evaluate the potential mediating effect of job burnout between job stress and depressive symptoms. Methods A cross-sectional study was performed from August to October 2019 and from June to September 2020 in seven provinces of China. Study participants were recruited from 21 manufacturing companies covering 11 manufacturing subdivisions using multistage stratified cluster sampling. General Burnout Scale, Core Occupational Stress Scale, and Patient Health Questionnaire-9 were used to evaluate job burnout, job stress, and depressive symptoms. Mann-Whitney U test and Kruskal-Wallis H test were used to compare data between two independent samples and multiple independent samples of measurement data; Pearson χ2 test was used to compare the rate of enumeration data; Spearman rank correlation analysis was used to evaluate correlation between selected variables; binary logistic regression was used for multivariate analysis; stepwise regression and bias-corrected Bootstrap method were used to test potential mediating effect. Results A total of 10973 valid questionnaires were collected. The M (P25, P75) scores of exhaustions, cynicism, professional efficacy, job burnout, job stress, and depressive symptoms were 1.6 (0.4, 3.0), 1.0 (0.2, 2.2), 4.8 (3.2, 5.7), 1.6 (0.8, 2.5), 45.0 (40.0, 50.0), and 7.0 (4.0, 11.0), respectively. The positive rates of job burnout, job stress, and depressive symptoms were 53.4% (5865/10973), 28.4% (3116/10973), and 29.4% (3231/10973), respectively. The influencing factors of job burnout were gender (versus male; OR for female=0.852), age (versus≤25 years old; ORs for 26-30, 31-40, 41-50, 51-60 years old=0.824, 0.819, 0.738, 0.677), education level (versus junior high school or below; ORs for senior high school/technical secondary school, junior college/vocational college, graduate school or above=1.119, 1.345, 1.331), income per month (versus＜3000 yuan; ORs for 3000-4999, 5000-6999, 7000-8999, 9000-10999, ≥11000 yuan=0.513, 0.470, 0.430, 0.375, 0.411), position (versus assembly line; OR for non-assembly line=0.814), average weekly working hours (versus ≤40 h; ORs for 61-70, ＞70 h=1.199, 1.519), and drinking (versus non-drinking; OR for drinking=1.261). Job burnout was positively correlated with job stress and depressive symptoms (r=0.556, 0.508, P<0.001). Job burnout played a partial mediating role between job stress and depressive symptoms, and its contribution value accounted for 63.2% of the total effect. Conclusion Manufacturing industry employees' job burnout problem is prominent in China, and there are many factors affecting job burnout. Job burnout may play a partial mediating role between job stress and depressive symptoms in the target group.
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El análisis de datos cuantitativos de siniestralidad laboral es importante para orientar la gestión preventiva en la República del Ecuador. Se presenta un estudio ecológico exploratorio de la incidencia de lesiones por accidente de trabajo no mortales y con incapacidad temporal, en ocupaciones manuales de las industrias manufacturera y de construcción en 23 provincias del país, para el período comprendido entre 2014 y 2019. Como fuente se utilizaron los registros oficiales de trabajadoras y trabajadores afiliados al régimen general de seguridad social. Se apli- có el programa estadístico SPSS versión 21.0 y Tableau versión 3.0; se agruparon las provincias del Ecuador en cuartiles según el valor de la tasa de incidencia de las lesiones por cada 1.000 personas afiliadas, considerando año y actividad económica. Las tasas de incidencia mues- tran patrones similares para los dos sectores económicos y un decrecimiento progresivo en el período analizado, con valores semejantes en 2019. Los valores más altos se presentan en las provincias de Azuay, Guayas, Pichincha y Tungurahua. Se concluye que existen importantes di- ferencias geográficas, lo que demanda estrategias de prevención y disminución de accidentes de trabajo con participación de los equipos interdisciplinarios relacionados, incluyendo terapeutas ocupacionales.
Analyzing quantitative data on occupational accidents is essential to guide preventive management in the Republic of Ecuador. An exploratory ecological study of the incidence of non-fatal and temporary incapacity occupational injuries in manual occupations in the manufacturing and construction industries in 23 provinces is presented for the period 2014-2019. Official registers of workers registered in the general social security system were used as a source. The statistical software SPSS version 21.0 and Tableau version 3.0 were applied; Ecuador provinces were grouped into quartiles according to the value of the incidence rate of injuries per 1,000 registered persons, considering the year and economic activity. Incidence rates show similar patterns for the two economic sectors and a progres- sive decrease over the period analyzed, with similar values in 2019. The highest values are found in Azuay, Guayas, Pichincha and Tungurahua provinces. It is concluded that there are significant geographical differences, which calls for strategies to prevent and reduce occupational accidents with the participation of related interdisciplinary teams, including occupational therapists.
A análise de dados quantitativos sobre acidentes de trabalho é importante para orientar a gestão preventiva na República do Equador. Um estudo ecológico exploratório da in- cidência de acidentes de trabalho não fatais e de invalidez temporária é apresentado em ocupações manuais nas indústrias de manufatureira e de construção em 23 províncias do país, para o período entre 2014 e 2019. Como fonte, foram utilizados os registros oficiais dos trabalhadores filiados ao regime geral de previdência social. Os programas estatísticos SPSS (versão 21.0) e Tableau (versão 3.0) foram aplicados; as províncias do Equador foram agrupadas em quartis, de acordo com o valor da taxa de incidência de lesões por 1.000 afiliados, considerando ano e atividade econômica. As taxas de incidência apresentam padrões semelhantes para os dois setores econômicos e uma diminuição progressiva no pe- ríodo analisado, com valores semelhantes em 2019. Os maiores valores encontram-se nas províncias de Azuay, Guayas, Pichincha e Tungurahua. Conclui-se que existem diferenças geográficas importantes, que demandam estratégias de prevenção e de redução dos aciden- tes de trabalho com a participação de equipes interdisciplinares relacionadas, incluindo terapeutas ocupacionais.
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Accidents, Occupational , Construction Industry , Manufacturing Industry , Ecuador , Occupational Injuries , Data AnalysisABSTRACT
Background Noise is the most common occupational hazard in the automobile manufacturing industry with the most workers exposed. Automobile manufacturing industry is a high-risk industry for noise-induced hearing loss. Objective To understand the epidemiological characteristics of noise-induced hearing loss among workers in automobile manufacturing industry and explore related influencing factors. Methods A questionnaire survey, individual noise recording, and pure tone audiometry were conducted among workers (n=656) exposed to noise from five automobile manufacturing enterprises. The data on age, sex, exposure duration, noise intensity, kurtosis, and hearing loss were obtained. The positive rates of high-frequency noise-induced hearing loss (HFNIHL) and speech-frequency noise-induced hearing loss (SFNIHL) were calculated, and each factor was compared between workers with and without HFNIHL. Chi-square test and analysis of trend were conducted among different groups of age, sex, exposure duration, A-weighted equivalent continuous sound pressure level normalized to a nominal 8-hour working day (LAeq,8h), and kurtosis. Logistic regression analysis was conducted to analyze the factors influencing the positive rates of HFNIHL and SFNIHL. Results The exposure rates of non-Gaussian noise was 73.6%. The positive rates of HFNIHL and SFNIHL were 32.6% (214 workers) and 6.7% (44 workers), respectively. The HFNIHL workers showed older age, higher proportion of male, longer exposure duration, higher noise intensity (LAeq,8 h), and increased kurtosis than those without HFNIHL (P<0.05). The positive rates of HFNIHL increased with the increase of age, exposure duration, LAeq,8 h, and kurtosis (\begin{document}$ {\chi
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@#Abstract: Objective To investigate the present reproductive health status of female employees and its influencing factors in Methods machinery manufacturing industries. A total of 762 female workers with pregnancy history from two machinery manufacturing enterprises in Chongqing City were selected by judgment sampling method. The reproductive health status of female workers was investigated by the Special Questionnaire on Reproductive Health of Female Workers in Typical Industries. Results （ ） The prevalence of pregnancy complications in the female workers was 27.6% 210/762 . The abnormal neonatal birth （ ） （ ）， ， outcomes rate was 15.1% 115/762 . The abortion rate was 64.4% 491/762 the spontaneous abortion rate was 14.3% and the induced abortion rate was 60.2%. The results of binary logistic regression analysis showed that female employees exposed to two ， or more occupational hazardous factors felt tired from work and suffered from gynecological diseases were risk factors for （ P ） ， ， pregnancy complications all <0.05 . Alcohol drinking abnormal menstruation and suffered from pregnancy complications （ P ） were risk factors for abnormal birth outcomes in newborns all <0.05 . The results of multiple logistic regression analysis ， （ P ） showed that the older the female workers the higher risk of spontaneous abortion or induced abortion or both all <0.05 . - Female workers suffered from gynecological diseases and engaged in front line production had higher risk of both spontaneous （ P ）Conclusion ， ， ， ， and induced abortion all <0.01 . Age position occupational hazardous factor exposure feeling tired at work ， ， alcohol drinking menstrual abnormalities a history of gynecological diseases and suffer from pregnancy complications can affect the reproductive health of female employees in machinery manufacturing industries.
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@#Objective - （ ） To analyze the epidemiological characteristics of occupational noise induced deafness ONID （ ） diagnosed by Guangdong Province Hospital of Occupational Disease Prevention and Control GDHOD from 2016 to 2020 and - Methods the reasons non ONID diagnosis. The data of ONID patients diagnosed in GDHOD from 2016 to 2020 were collected “ from the Occupational Disease Report Card in the Occupational Disease and Occupational Health Information Monitoring ” “ ” - System subsystem of the China Disease Prevention and Control Information System . The data of non ONID subjects were ， collected from the occupational disease diagnosis archives in the same hospital and the relevant data were analyzed Results ， ， （ ） retrospectively. Of the 1 432 subjects 824 subjects were diagnosed as ONID patients mainly of mild ONID 86.0% . （M） ， M Male patients accounted for 88.0%. The median of diagnosis age was 45.0 years old and of length of employment of ， ， ， diagnosis was 8.3 years. ONID patients were mainly found in Zhongshan Dongguan Zhuhai Jiangmen and Guangzhou City in ， ， （ ） the Pearl River Delta accounting for 67.6%. The cases distributed in 519 enterprises mainly on manufacturing 90.2% . ， - ， ； Among the 139 enterprises each enterprise had 2 11 patients worked within five years accounting for 53.9% 91.1% of the -， - - - ONID patients were distributed in large medium and small enterprises. ONID patients mainly worked in non public enterprises that accounted for 91.3%. There were 606 subjects could not be diagnosed as ONID. The main reasons for not being （ ）， diagnosed were that the weighted value of better ear hearing threshold was less than 26 dB 34.8% the working history of （ ）， occupational noise exposure was less than three years 31.5% the weighted value of better ear hearing threshold was less thanConclusion 26 dB and the average hearing threshold of binaural high frequency was less than 40 dB 16.2% . The ONID ， ， -， - patients have the characteristics of group aggregation. The Pearl River Delta manufacturing industry large medium and - - ： small non public enterprises are the key points of ONID prevention. The main reasons for not being diagnosed as ONID were ， the working history of occupational noise exposure was less than three years the weighted value of better ear hearing threshold ， - was less than 26 dB and the average high frequency hearing threshold of both ears was less than 40 dB.
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@#Objective （ ） To explore the feasibility of using generalized estimating equation GEE to analyze the influencing - （ ） factors of high frequency hearing loss HFHL among noise exposed workers in an air conditioner manufacturing enterprise. Methods - The noise exposed workers in an air conditioner manufacturing industry who had been tested for pure tone hearing threshold twice or more from 2015 to 2019 were selected as the research subjects using the judgment sampling method. Data ， ， ， ， ， （ ） such as age length of service gender smoking alcohol consumption body mass index BMI and HFHL were collected. The Results influencing factors of HFHL were analyzed using the GEE. The detection rates of HFHL from 2015 to 2019 were ， ， ， ， ， 22.2% 23.8% 24.2% 24.1% and 20.9% respectively. Among them the detection rate of HFHL in 2019 was lower than that （ P ） ， ， in 2017 and 2018 all <0.001 . The GEE analysis results showed that the risks of HFHL in 2015 2016 2017 and 2018 were （ P ）， higher than that in 2019 all <0.01 regardless of interaction effects and after adjusting for confounding factors such as ， ［OR（ CI）］ （ - duration of noise exposure smoking and BMI. The odds ratios and 95% confidence intervals 95% were 1.19 1.07 ）， （ - ）， （ - ） （ - ）， 1.33 1.26 1.13 1.39 1.30 1.18 1.43 and 1.27 1.15 1.39 respectively. The risk of HFHL was higher in males than in （P ）， OR（ CI） （ - ） ， （P ）， OR females <0.01 and 95% was 3.78 3.00 4.77 . The older the age the higher the risk of HFHL <0.01 and （ CI） （ - ） Conclusion - 95% was 1.07 1.05 1.09 . The influencing factors of HFHL among noise exposed workers in the air conditioner industry are age and gender. GEE can be used to analyze the factors influencing the longitudinal data of HFHL in workers with noise exposure.
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Background China's manufacturing industry is still labor-intensive, and assembly employees in manufacturing industry are facing a great risk of work-related musculoskeletal disorders (WMSDs). Objective To investigate and analyze the prevalence and distribution of WMSDs among assembly workers in manufacturing enterprises and explore the relationship between WMSDs and ergonomic exposure factors such as posture load and mental load. Methods From July to September 2017, by convenient sampling, a cross-sectional survey was conducted to select 670 workers engaged in electronic accessories assembly and railway vehicle manufacturing in three manufacturing enterprises in two cities in northern China as the research participants. The posture load assessment was based on the Chinese Musculoskeletal Questionnaire independently developed by our research group. The mental load assessment was based on a revised Chinese version of the Subjective Workload Assessment Technique. An unconditional logistic regression model was used to explore the relationship between ergonomic exposure and WMSDs. Results The overall prevalence rate of WMSDs was 39.6% (265/670) with 43.8% in males and 25.2% in females; the highest prevalence rate was 47.7% in the group aged 40 years and over. The prevalence rate of WMSDs in the electronic accessories assembly workers was 16.9%, that in the railway vehicle manufacturing workers was 57.3%, and the difference was statistically significant (\begin{document}$ {\chi
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Background Occupational noise-induced hearing loss (NIHL) is one of the most prevalent occupational diseases in the world. With the development of industry, noise sources in the workplace have become increasingly complex. Objective To apply kurtosis-adjusted cumulative noise exposure (CNE) to assess the occupational hearing loss among furniture manufacturing workers, and to provide a basis for revising noise measurement methods and occupational exposure limits in China. Methods A cross-sectional survey was conducted to select 694 manufacturing workers, including 542 furniture manufacturing workers exposed to non-Gaussian noise, and 152 textile manufacturing workers and paper manufacturing workers exposed to Gaussian noise. The job titles involving non-Gaussian noise were gunning and nailing, and woodworking, while those involving Gaussian noise were weaving, spinning, and pulping. High frequency noise-induced hearing loss (HFNIHL) and noise exposure data were collected for each study subject. Noise energy metrics included eight-hour equivalent continuous A-weighted sound pressure level (LAeq,8 h) and CNE. Kurtosis was a noise temporal structure metric. Kurtosis-adjusted CNE was a combined indicator of noise energy and temporal structure. Results The age of the study subjects was (35.64±10.35) years, the exposure duration was (6.71±6.44) years, and the proportion of males was 75.50%. The LAeq,8 h was (89.43±6.01) dB(A). About 81.42% of the study subjects were exposed to noise levels above 85 dB(A), the CNE was (95.85±7.32) dB(A)·year, with a kurtosis of 99.34 ± 139.19, and the prevalence rate of HFNIHL was 35.59%. The mean kurtosis of the non-Gaussian noise group was higher than that of the Gaussian noise group (125.33±147.17 vs. 5.86±1.94, t=−21.04, P<0.05). The results of binary logistic regression analysis showed that kurtosis was an influential factor of workers' HFNIHL after correcting for age, exposure duration, and LAeq,8 h (OR=1.49, P<0.05). The results of multiple linear regression analysis showed that the effects of age, exposure duration, LAeq,8 h, and kurtosis on noise-induced permanent threshold shift at frequencies of 3, 4, and 6 kHz of the poor hearing ear were statistically significant (all P<0.05). The results of chi-square trend analysis showed that when CNE ≥ 90 dB(A)·year, the HFNIHL prevalence rate elevated with increasing kurtosis (P<0.05). The mean HFNIHL prevalence rate was higher in the non-Gaussian noise group than in the Gaussian noise group (31.7% vs. 22.0%, P<0.05). After applying kurtosis-adjusted CNE, the linear equation between CNE and HFNIHL prevalence rate for the non-Gaussian noise group almost overlapped with that for the Gaussian noise group, and the mean difference in HFNIHL prevalence rate between the two groups decreased from 9.7% to 1.4% (P<0.05). Conclusion Noise kurtosis is an effective metric for NIHL evaluation. Kurtosis-adjusted CNE can effectively evaluate occupational hearing loss due to non-Gaussian noise exposure in furniture manufacturing workers, and is expected to be a new indicator of non-Gaussian noise measurement and assessment.
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This essay pays tribute to Peter Donnelly, distinguished contributor to the development of the sociology of sport, by revisiting a prediction that he made in the 1980s, concerning the growing effects of commercialization in soccer. By looking at the official equipment provider of numerous soccer clubs and national soccer teams, totaling more than 250 cases, this research hints at the extent of the financial and geographical concentration of this branch of industrial activity. The paper then argues that, from the standpoint of the material production of equipment, the wide regional and national diversity of the world of professional soccer collapses into a rather homogeneous arena, in which a small number of multinational companies compete for hegemony - with clubs and national teams functioning, in essence, as representatives of the interests of large conglomerates. (AU)
Este ensaio presta homenagem a Peter Donnelly, importante colaborador do desenvolvimento da sociologia do esporte, ao revisitar uma previsão que ele fez na década de 1980, sobre os efeitos da crescente exploração comercial do futebol. Levando em consideração o fornecedor oficial de uniformes esportivos para diversos clubes e seleções nacionais de futebol, totalizando mais de 250 casos, a presente pesquisa revela a magnitude da concentração financeira e geográfica que caracteriza uma parcela significativa desse ramo de atividade industrial. Em seguida, o artigo argumenta que, do ponto de vista da produção material de equipamentos esportivos, a enorme diversidade regional e nacional do mundo do futebol profissional desaparece, dando lugar a um cenário bastante homogêneo, no qual um pequeno número de empresas multinacionais luta por hegemonia - com clubes e seleções nacionais atuando, em essência, como representantes dos interesses de grandes conglomerados. (AU)
Este ensayo rinde homenaje a Peter Donnelly, un importante colaborador al desarrollo de la sociología del deporte, revisitando una predicción que hizo en la década de 1980 sobre los efectos de la creciente explotación comercial del fútbol. Considerando al proveedor oficial de uniformes deportivos para diversos clubes y selecciones nacionales de fútbol, que suman más de 250 casos, la presente investigación revela la magnitud de la concentración financiera y geográfica que caracteriza a una parte importante de este sector de actividad industrial. El artículo argumenta que, desde el punto de vista de la producción material de equipos deportivos, la enorme diversidad regional y nacional del mundo del fútbol profesional desaparece, dando lugar a un escenario bastante homogéneo, en el que un reducido número de empresas multinacionales luchan por hegemonía -con clubes y selecciones nacionales que actúan, en esencia, como representantes de los intereses de grandes conglomerados. (AU)
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Humans , Male , FemaleABSTRACT
OBJECTIVE：To study industry-university-resear ch cooperation model and network evolution characteristics of pharmaceutical manufacturing industry in China ，and to provide decision-making basis for pharmaceutical innovation cooperation. METHODS：Using social network analysis method ，based on industry-university-research cooperation patent data of pharmaceutical manufacturing industry during 1998-2019，the patent cooperation network of pharmaceutical manufacturing industry in China was established，and the structural parameters were calculated and evolution regularity of the network were analyzed. RESULTS ： Industry-university-research cooperation patents in the pharmaceutical manufacturing industry were affected by drug innovation policies. The scale of innovation network in pharmaceutical manufacturing industry was expanding day by day ；the density of innovation network was decreasing gradually ；it was not characterized with typical small world features. CONCLUSIONS ：It is suggested to strengthen the scientific and technological support to the core innovation subjects （universities and research institutions），and improve the cooperation with enterprises ；optimize the drug innovation policy environment ，encourage more innovation subjects to participate in the drug R&D process ；construct a platform for industry-university-research collaborative innovation，build drug R&D mechanism which can promote industry-university-research cooperation ，reduce the number of intermediaries in cooperation ，optimize the allocation of drug R&D resources and promote cooperative innovation of enterprises.
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OBJECTIVE：To stu dy the effects of R&D expense additional deduction policy on R&D investment and profitability of pharmaceutical manufacturing industry ， and to provide reference for improving R&D investment and profitability of pharmaceutical manufacturing industry. METHODS ：Based on the data of Chinese pharmaceutical listed enterprises during 2012-2019，regression discontinuity design and descriptive method were adopted to analyze the effect of R&D expenses additional deduction policy on R&D investment and profitability of pharmaceutical manufacturing industry. RESULTS ：Both R&D investment and the main business profit margin had significant “jump”at the policy cutoff point ，and the policy effect coefficient of the R&D expenses additional deduction policy on R&D investment and profitability of the pharmaceutical manufacturing industry were 0.310 and －1.197 respectively（P＜0.001）. The policy effect coefficient of the policy on R&D investment in the eastern region was 0.413（P＜0.001），while the effect on central and western regions were not significant ；the policy effect coefficient of the policy on R&D investment of large-scale and small- and medium-scale pharmaceutical manufacturing industry were 0.502 and 0.264 respectively（P＜0.001）. CONCLUSIONS ：On the whole ，R&D expenses additional deduction policy has a positive incentive impact on R&D investment of pharmaceutical manufacturing industry ，but does not have a positive incentive impact on the profitability which is greatly affected by other factors. The policy has regional differences in the incentive impact on R&D investment of pharmaceutical manufacturing industry ；the incentive impact of the policy on the R&D investment of large-scale pharmaceutical manufacturing industry is better than that of small-and medium-scale one. It is recommended to improve the R&D expenses additional deduction policy ，reasonably increase the profit margin of the pharmaceutical manufacturing industry ，adjust the policy for different regions and focus on guiding policies to favor small- and medium-scale pharmaceutical manufacturing industry，so as to improve the R&D investment and profitability of pharmaceutical manufacturing industry.
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OBJECTIVE：To provide reference for increasing t he export trade of Guangdong ’s pharmaceutical manufacturing industry，and improving the proportion of pharmaceutical manufacturing export and internationalization level. METHODS ：The data of the pharmaceutical manufacturing industry in Guangdong province were collected from 1998 to 2019，and vector autoregressive （VAR）model was established. The relationship of export trade activities （export delivery value ），R&D investment （R&D internal expenditure） and technological innovation （technological transformation cost ） of pharmaceutical manufacturing industry in Guangdong province were explored empirically through cointegration relationship test ，Granger causality test ，impulse response function and variance decomposition. RESULTS & CONCLUSIONS ：Through the cointegration relationship test and Granger causality test ，it could be seen that there was a stable equilibrium relationship among the export trade activities of Guangdong pharmaceutical manufacturing industry ，R&D investment and technological innovation. Technological innovation was the Granger cause of export delivery value and could positively promotes the increase in export trade activities ，with a lag period of 2 years. The export delivery value was the Granger reason for R&D investment ，which could promote the increase of R&D investment ，and the influence will become greater and greater over time. R&D investment is the Granger cause of technological innovation ，which can promotes the increase of technological innovation. Through impulse response function and variance decomposition ，it could be known that the export trade activities ，R&D investment and technological innovation of Guangdong ’s pharmaceutical manufacturing industry had a dynamic interaction relationship. The change in export delivery value is mainly affected by itself ，and technological innovation is an auxiliary promotion effect （contribution rate of 7％）. It is suggested that enterprises should pay attention to technological transformation and R&D investment ，build high-tech pharmaceutical manufacturing industry ，give full play to the characteristics of Lingnan traditional Chinese medicine products ， enhance the technological competitiveness of export pharmaceutical products ，optimize the layout of pharmaceutical industry ，and enhance international competitiveness.
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OBJECTIVE: To analyze the reproductive health status of female employees in an automobile manufacturing industry and its influencing factors. METHODS: By a method of convenient sampling, 989 female employees of an automobile manufacturer were selected as the study subjects. The Female Employees′ Reproductive Health Status Questionnaire was used to investigate and analyze the influencing factors. RESULTS: The prevalence of abnormal menstruation was 23.7%(234/989). The abnormal menstruation was mainly the menstrual cycle disorder, with the prevalence of 15.4%(152/989). The prevalence of reproductive tract infection was 39.1%(387/989), and the top 2 types of infection were cervicitis(12.7%) and vaginitis(12.1%). The results of multivariate logistic regression analysis showed that the risk of abnormal menstruation in night shift workers was higher than that in day shift workers(P<0.05). The risk of abnormal menstruation increased in female workers with the increase of work intensity(P<0.05). Female workers with a history of abortion had higher risk of abnormal menstruation and reproductive tract infection than those without a history of abortion(all P<0.05). Female workers with abnormal menstruation had a higher risk of reproductive tract infection than those with normal menstruation(P<0.01). Married employees had a higher risk of reproductive tract infection than unmarried ones(P<0.01). CONCLUSION: The reproductive health of female workers in the automobile manufacturing industry is related to their marital status, work shift, work intensity and history of abortion.
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OBJECTIVE: To investigate the prevalence of lower extremity work-related musculoskeletal disorders(WMSDs) among manufacturing workers, and to explore the association of lower extremity WMSDs and different types of working. METHODS: A total of 7 908 workers were selected as study subjects from four manufacturing factories in China using the cluster sampling method. The Musculoskeletal Disorders Investigating Questionnaire was adopted to investigate the prevalence of lower extremity WMSDs and the distribution of types of working. The prevalence ratio(PR) of WMSDs, calculated by log-binomial model, was used to estimate the correlation of WMSDs in different parts of lower extremity. The multi-factor logistic regression was used to analyze the association of lower extremity WMSDs and different types of working. RESULTS: The total annual prevalence of lower extremity WMSDs was 41.0%(3 241/7 908) among manufacturing workers. The annual prevalence of WMSDs of different parts in lower extremity from high to low were knee(29.5%), ankle/foot(23.9%) and hip/thigh(16.7%). The correlation of WMSDs of the three parts in lower extremity was close, and the range of PR values was 2.21-3.88. The result of logistic regression analysis showed that the workers who frequently sat for long periods had higher risk of lower extremity WMSDs than those who never/rarely sat for long periods(odds ratio=1.39, P<0.01). The higher the frequency of standing, kneeling/squatting for long periods, carrying heavy loads ≥5 kg and driving, the higher the risk of lower extremity WMSDs(the odds ratios were 1.33, 1.41, 1.16 and 1.12, respectively, P<0.01). CONCLUSION: The prevalence of lower extremity WMSDs was relatively high among manufacturing workers. There is a dose-effect relationship between the types of working and lower extremity WMSDs.