Background Personal protection is crucial for reducing the risk of zoonotic pathogen infection among livestock workers. Investigating the current status of its implementation and associated influencing factors can provide empirical evidence for developing more effective intervention measures. Objective To investigate the current status of personal protection implementation among livestock workers in Xinjiang, China and its influencing factors, providing a reference for formulating targeted intervention measures. Methods This study was conducted in Bayingolin Mongol Autonomous Prefecture, Kashgar region, and the First and Eighth Divisions of Xinjiang Production and Construction Corps. We selected large-scale cattle and sheep farms, cooperatives, individual livestock households, livestock trading markets, slaughterhouses, and retail markets. Using cluster sampling, we recruited all livestock workers (1074 participants) at sampled sites. During the period from April to July 2024, we conducted face-to-face surveys with a self-designed questionnaire among livestock workers, collecting general demographic information, occupational exposure history, and information related to the use of personal protective equipment, resulting in 939 valid questionnaires. EpiData 3.1 was used for data entry and SPSS 26.0 for statistical analysis. We employed logistic regression to compare the implementation of personal protection among workers by selected categories. Results Among the study subjects, there were 300 workers from large-scale farms (31.95%) and 583 self-employed livestock farmers (62.09%). The sample included 600 males (63.90%) and 339 females (36.10%). The majority of the study subjects was farmers, breeders, or aged 18-60 years (87.75%), auxiliary workers (87.97%) and had an education level of junior high school or below (81.36%). The proportion of workers who consistently and correctly implemented all five personal protective measures (washing hands after work, wearing gloves, wearing masks, wearing dedicated work clothes, and using rubber boots) was 35.14% (330/939). The implementation rates for these five protective measures were 93.61% (879/939), 58.68% (551/939), 57.93% (544/939), 46.01% (432/939), and 42.81% (402/939), respectively. There were statistically significant differences in the implementation rates of differen personal protective measures among the workers by occupation and education level (P<0.05). Among them, workers with lower education levels had lower implementation rates for various protective measures. The results of logistic regression indicated that, compared to male workers, female workers (OR=2.26, 95%CI: 1.68, 3.04) showed a higher rate of non-standard implementation of personal protection. Using the age group of 18 to less than 36 years as a reference, those aged 36 to less than 60 years (OR=1.82, 95%CI: 1.33, 2.50) and 60 years or older (OR=4.45, 95%CI: 2.56, 7.73) reported higher rates of non-standard implementation of personal protection. Compared to those with an education level of primary school or below, those with a junior high school education (OR=0.64, 95%CI: 0.47, 0.88) and a high school education or above (OR=0.13, 95%CI: 0.19, 0.29) showed lower rates of non-standard implementation of personal protection. Compared to farmers, veterinarians (OR=0.03, 95%CI: 0.02, 0.07) reported the lowest rate of non-standard implementation of personal protection, followed by auxiliary workers (OR=0.08, 95%CI: 0.05, 0.12), breeders (OR=0.10, 95%CI: 0.07, 0.15), and other occupational groups (OR=0.28, 95%CI: 0.15, 0.52). Using large-scale farms as a reference, self-employed farmers (OR=13.5, 95%CI: 9.65, 18.88) reported a higher rate of non-standard implementation of personal protection, followed by workers from other workplaces (OR=3.63, 95%CI: 2.01, 6.54). Conclusion The implementation of personal protective measures among livestock workers in Xinjiang is generally satisfactory. However, significant disparities in the execution of these measures exist among different types of workers, indicating the need to enhance occupational health promotion to reduce the risk of zoonotic pathogen infection among the workers.

Background Animal farming may affect the structure and diversity of gut microbiota of farm workers, but it needs more studies to provide solid evidence. Objective To analyze the diversity characteristics of gut microbiota in dairy farm workers, dairy cows, and the control population (non-animal contact occupational group), and to assess the impact of dairy farming on the gut microbiota of workers. Methods The 16S rRNA full-length amplicon sequencing technology was used to sequence 60 fecal samples from dairy farm workers, 89 from dairy cows, and 50 from the general population. The gut microbiota structure characteristics, including operational taxonomic units (OTUs), alpha diversity, beta diversity, and the composition of species at the phylum, family, and genus levels were analyzed. The differences in gut microbiota among the three groups of samples were compared to explore the impact of occupational exposure on the gut microbiota structure of dairy farm workers. Results A total of 50478 OTUs were identified in the gut microbiota of farm workers, dairy cows, and the general population, with 23613, 42723, and 16592 OTUs, respectively. The number of shared OTUs between the dairy cows and the general population was 12674 (27.17%), between the general population and the farm workers was 10099 (33.54%), and between the dairy cows and the farm workers was 17690 (36.36%). Compared with the general population, the farm workers and dairy cows showed more shared gut microbiota (P<0.01). The abundance of Firmicutes in the gut of the farm workers was higher than that of the general population (P<0.01), while Actinobacteriota and Proteobacteria were the opposite (P<0.01). The alpha diversity of gut microbiota in the farm workers was different from that of the general population. The ACE index of the farm workers was slightly lower than that of the general population and much lower than that of dairy cows (P<0.05), while their Shannon index was higher than that of the general population but lower than that of dairy cows (P<0.01). The linear discriminant analysis effect size (LefSe) showed that the abundances of Lachnospiraceae and Ruminococcaceae in the gut microbiota of the farm workers were significantly higher than those of the general population, while Streptococcaceae, Lactobacillaceae, Bifidobacteriaceae, Enterobacteriaceae, and Erysipelatoclostridiaceae were lower than those of the general population. Conclusion The dairy farm workers shares a certain proportion of common bacterial communities with dairy cows. Dairy farming operations can affect the structure and diversity of the gut microbiota of workers by increasing the abundances of Lachnospiraceae and Ruminococcaceae, while decreasing the abundances of Streptococcaceae, Lactobacillaceae, Bifidobacteriaceae, Enterobacteriaceae, and Erysipelatoclostridiaceae. The study results provide reference data for further exploring the cross-host transmission of pathogens related to occupational exposure in dairy farming.

Background After working in a harsh occupational hazard environment for a long time, open-pit coal mine workers are under tremendous physical and mental pressure, which is prone to presenteeism behavior. objective To identify the relationships between presenteeism, job burnout, and social support of open-pit coal miners, and verify potential mediating effect of job burnout between social support and presenteeism. Methods In 2020—2021, a questionnaire survey was conducted among employees of 6 open-pit coal mining enterprises in Xinjiang by stratified cluster random sampling. Job Burnout Questionnaire, Job Content Questionnaire, and Presenteeism Behavior Scale were used to evaluate burnout, social support, and presenteeism behavior in the study subjects. SPSS 26.0 software was used for t test, F test, correlation analysis, and mediating effect test. Results A total of 1199 questionnaires were distributed and 1083 valid questionnaires were recovered, with an effective recovery rate of 90.3%. The M (P₂₅, P₇₅) scores of presenteeism behavior, social support, and job burnout were 2.0 (2.0, 5.0), 24.0 (23.0, 26.0), and 45.0 (34.0, 51.0), respectively. The Spearman correlation analysis results showed that there was a significant negative correlation between social support and job burnout (\begin{document}$ r $\end{document}=−0.200, P<0.01), a significant negative correlation between presenteeism and social support (\begin{document}$ r $\end{document}=−0.260, P<0.01), and a significant positive correlation between presenteeism and job burnout (\begin{document}$ r $\end{document}=0.304, \begin{document}$ P $\end{document}<0.01). The results of mediating effect test showed that social support had a negative effect on presenteeism (\begin{document}$ \beta $\end{document}=−0.122, \begin{document}$ P $\end{document}<0.001). Social support negatively predicted job burnout (\begin{document}$ \beta $\end{document}=−0.779, \begin{document}$ P $\end{document}<0.001). Job burnout had a partial mediating effect between social support and presenteeism, with an effect value of −0.0294 (95%CI: −0.0394, −0.0201), accounting for 24.18% of the total effect. Conclusion Social support negatively affects the presenteeism behavior of open-pit coal mine workers, and job burnout plays a partial mediating role between social support and presenteeism behavior.

Objective: To investigate the prevalence of hypertension, diabetes and dyslipidemia among physical examination populations at ages of 35 to 75 years in Karamay City of Xinjiang Uygur Autonomous Region, so as to provide insights into the management of chronic disease control. Methods: Residents receiving physical examinations at ages of 35 to 75 years were sampled from 9 communities in Karamay City using the cluster random sampling method. Demographic features and health-related behaviors were collected using questionnaires, and the height, weight, blood pressure, and fasting blood glucose and blood lipid levels were measured. The prevalence of hypertension, diabetes and dyslipidemia was descriptively analyzed, and their risk factors were identified using multivariable logistic regression analysis. Results: A total of 32 556 subjects were sampled, including 12 354 males ( 37.95% ) and 20 202 females ( 62.05% ), with a mean age of ( 56.63±12.78 ) years. The prevalence of hypertension, diabetes and dyslipidemia was 31.72%, 12.18% and 28.69%, and the common comorbidity was dyslipidemia with hypertension ( 2 483 cases, 7.63% ). Multivariable logistic regression analysis identified men ( OR=1.362, 1.823 and 1.130 ), ages of ≥40 years ( OR=3.327-14.019, 2.870-15.337 and 1.530-2.092 ), a family history of chronic diseases ( OR=1.147, 1.249 and 1.200 ), smoking ( OR=1.111, 1.464 and 1.248 ), meat-based diet ( OR=2.081, 2.266 and 1.110 ), vegetable-based diet ( OR=0.479, 0.353 and 0.634 ), underweight ( OR=0.504, 0.298 and 0.546 ), overweight ( OR=1.872, 1.565 and 1.289 ) and obesity ( OR=2.840, 2.177 and 1.230 ) as common influencing factors for hypertension, diabetes and dyslipidemia. Conclusions The prevalence of hypertension is high among physical examination populations at ages of 35 to 75 years in Karamay City. Gender, age, a family history of chronic diseases, smoking, diet habits and body mass index are common factors affecting hypertension, diabetes and dyslipidemia.

Background Coal workers are inclined to report multi-site work-related musculoskeletal disorders (WMSDs) due to their specific working environment and extensive exposure to occupational hazards, which seriously affect the physical and mental health of coal workers. objective To investigate the prevalence of multi-site WMSDs among workers in coal mining enterprises in Xinjiang, and analyze the related factors influencing multi-site WMSDs. Methods Using stratified cluster random sampling method, Musculoskeletal Disorders Questionnaire, Job Burnout Questionnaire, and Brief Occupational Stress Questionnaire were distributed in six Xinjiang coal mining enterprises to collect data on general information, prevalence of WMSDs in the past year, work-related information, job burnout, and occupational stress among coal miners with a working experience ≥ 1 year. A multiple logistic regression model was used to analyze the influencing factors of multi-site WMSDs. Results A total of 1730 questionnaires were distributed in this survey, 1448 valid questionnaires were recovered, and the valid recovery rate was 83.7%. Among the 1448 coal miners, 93.2% were males and 6.8% were females; 39.2% were aged ≤ 35 years, 31.1% were aged 35-45 years, and 29.6% were aged > 45 years; 58.4% reported ≤ 10 years of working experience, 20.0% reported 10-20 years, and 21.6% reported > 20 years. The total prevalence rate of WMSDs in the coal miners was 75.6% (1095/1448), the prevalence rate of multi-site WMSDs was 58.4% (846/1448), and the prevalence rate of one-site WMSDs was 17.2% (249/1448). The results of multiple logistic regression analysis showed that working experience > 20 years (OR=2.245, 95%CI: 1.655-3.045), severe burnout (OR=2.644, 95%CI: 1.549-4.516), and multiple repetitive operations per minute very often (OR=2.038, 95%CI: 1.339-3.101), often bending at larger angles (OR=1.467, 95%CI: 1.111-1.938), long-time bending the neck forward (OR=1.671, 95%CI: 1.294-2.159), and slipping or falling down (OR=2.459, 95%CI: 1.908-3.168) were positively correlated with multi-site WMSDs; sufficient rest time (OR=0.718, 95%CI: 0.565-0.913) was negatively correlated with multi-site WMSDs. Conclusion Multi-site WMSDs is common among workers in coal mining enterprises, and the prevalence rate of multi-site WMSDs is higher than that of one-site WMSDs. Working experience, job burnout, frequent multiple repetitive operations per minute, often bending at larger angles, long-time bending the neck forward, slipping or falling down, and sufficient rest time are influencing factors of multi-site WMSDs in coal workers.

Objective: To investigate the correlation between work-related musculoskeletal disorders (WMSDs) and work ability (WA) among nurses in Xinjiang. Methods: A total of 1 873 nursing staff in the Departments of Internal Medicine, Surgery, Emergency and ICU Department, Operating Room and Supply Room of 6 Grade 3 General Hospitals in Xinjiang Beijiang Region were randomly selected by means of random sampling, and revised Nordic National Musculoskeletal Disorders Standard Questionnaire and Work Ability Index Scale were used to evaluate the status of nursing WMSDs and WA. Results: (1) The symptom incidence of work-related musculoskeletal disorders among nursing staff in the past year was 77.42%; The highest symptom incidence in all parts of the body was waist, neck, shoulder and back, and the symptom incidence was 63.59%, 59.80%, 47.78% and 37.32%, respectively; (2) The total score of nursing staff's work ability was (35.91±5.143) ; The proportion of "poor" , "middle" , "good" and "excellent" were 5.23%, 47.41%, 41.43% and 5.93% respectively; (3) The total working capacity of the sick group was (35.11±5.044) , The working ability of the non-diseased group was (38.64±4.507) , The difference between the two groups was statistically significant (t=13.773, P<0.01) ; There was a significant difference in the level of work ability between the two groups (z=-12.335, P<0.01) ; The working ability of "poor" and medium in the injury group was significantly higher than that of the non injury group, while the working ability was "better" and "excellent" than that of the non injury group; (4) The working ability of nursing staff of different age in WMSDs injury group was lower than that in non injury group, the difference was statistically significant (P<0.01) ; There was a negative correlation between the working ability of the injury group and the length of service, that is, with the increase of the length of service, the working ability index decreased (P<0.01) ; There was a positive correlation between the working ability of the non injury group and the length of service, that is, with the increase of the length of service, the work ability index increased gradually, but the correlation was not statistically significant (r=0.063, P=0.195) ; (5) The working ability of nursing staff of different departments in WMSDs injury group was lower than that in non injury group, the difference was statistically significant (P<0.01) . (6) Multiple linear regression analysis showed that the factors influencing the working ability of nursing staff were: past medical history, WMSDs disease, length of service and night shift frequency; Conclusion The symptom incidence of WMSDs was high among nurses; Work Ability at a moderate level; work-related musculoskeletal disorders is associated with reduced ability of nursing staff; work-related musculoskeletal disorders are associated with reduced working capacity of nursing staff.

Objective To develop a questionnaire of occupational musculoskeletal disorders protective knowledge, attitude, behavior and organizational support in nursing staff, analyze its entries and test the reliability and validity of it. Methods Expert group was set up at first. The preliminary draft of questionnaire was formed based on the theory of knowledge-attitude-belief-practice (KABP), referring to Manual on Improving the Working Conditions of Medical Staff and Teaching Guide for Improving the Working Conditions of Medical Staff and knowledge of human ergonomics, human biomechanics and pain science, and consulting a large number of documents and books in China and abroad, and combining the methods of interview and expert consultation. A total of 300 nursing staff who met the inclusion criteria were recruited in the investigation from March to April 2016, and the reliability and validity were evaluated. Results The questionnaire contained a total of 4 dimensions and 45 retained. The entry number of each dimension were: protection knowledge 13, protective attitude 8, protection behavior 14, and organizational support 10. The Cronbach's α coefficient was from 0.833 to 0.977, binary reliability from 0.751 to 0.975, retest reliability from 0.725 to 0.954. The content validity index of protection related knowledge, attitude, behavior and organizational support were 0.940, 0.963, 0.919 and 0.852 respectively. 8 common factor extracted by exploratory factor analysis, and the cumulative contribution rate reached 73.715%. Conclusions The final nursing questionnaire of occupational musculoskeletal disorders protective knowledge, attitude, behavior and organizational support has good reliability and validity, which can provide reference for the research of the occupational musculoskeletal disorders in nursing staff.

Objective: To evaluate the ergonomic load of clinical nursing procedures and to provide evidence for the prevention and management of work-related musculoskeletal disorders (WMSDs) in nurses. Methods: Based on the nursing unit characteristics and the common departments involving patient-turning procedures, 552 nurses were selected from 6 clinical departments from July to September, 2016. The ergonomic load of four types of patient-turning procedures, i.e., turning the patient’s body, changing the bed linen of in-bed patients, moving patients, and chest physiotherapy, was evaluated by the on-site inspectors and self-evaluated by the operators using the Quick Exposure Check. The exposure value, exposure level, and exposure rate of WMSDs were assessed based on the procedure-related physical loads on the back, shoulders/arms, wrists/hands and neck, as well as the loads from work rhythm and work pressure. Results: All surveyed subjects were females who were aged mostly between 26-30 years (49.46%) , with a mean age of 29.66±5.28 years. These nurses were mainly from the Department of Infection (28.99%) and Spine Surgery (21.56%) . There were significant differences in the back, shoulders/arms, neck, work rhythm, and work pressure scores between different nursing procedures (F=16.613, 5.884, 3.431, 3.222, and 5.085, respectively; P<0.05) . Patient-turning nursing procedures resulted in high to intermediate physical load in nurses. Procedures with high to low level of WMSDs exposure were patient turning (72.69%) , bed linen changing (67.15%) , patient transfer (65.82%) , and chest physiotherapy (58.34%) . In particular, patient turning was considered as very high-risk procedure, whereas others were considered as high-risk procedures. Conclusion Patient-turning nursing procedures result in high ergonomic load in the operators. Therefore, more focus should be placed on the ergonomics of the caretakers and nurses.

Objective To investigate the prevalence of work-related musculoskeletal disorders (WMSDs) in nurses in Xinjiang,China,to analyze the influencing factors for the development of WMSDs,and to provide a reference for the prevention and treatment of WMSDs in nurses.Methods Stratified cluster sampling was used to randomly select 8 422 nurses in 8 tertiary hospitals and 4 secondary hospitals in Xinjiang from January to October,2015.A questionnaire survey was performed to investigate the prevalence of WMSDs in nurses from departments of internal medicine,surgery,gynecology,pediatrics,emergency,and intensive care and operating rooms and analyze related influencing factors.Results A total of 3 000 questionnaires were distributed,and 2 851 questionnaires were returned,resulting in a recovery rate of 95.00％.In the nurses who participated in the survey,the prevalence of WMSDs was 78.58％.As for different body parts,the prevalence of WMSDs was 63.36％ in the waist,61.79％ in the neck,52.52％ in the shoulder,41.83％ in the back,35.56％ in the knees,33.35％ in the ankles,26.02％ in the wrists,23.41％ in the hip,and 17.62％ in the elbows.There were significant differences in the prevalence of WMSDs across the nurses with different ages and working years (X2=28.29 and 27.73,both P＜0.01),and the prevalence of WMSDs tended to increase with the increasing age and working years (X2=22.94 and 17.56,both P＜0.01).The results of multivariate logistic regression analysis showed that sex,working years,intensive care/emergency,outpatient service,surgical anesthesia,weekly working hours,physical condition,and fatigue in work were risk factors for WMSDs in nurses.Conclusion In the nurses in Xinjiang,the prevalence of WMSDs in the neck,shoulder,back,and waist is high,and nurses with different ages,working years,departments,sexes,physical conditions,and weekly working hours have varying degrees of risk of WMSDs.

Objective To investigate the prevalence of work-related musculoskeletal disorders (WMSDs) in nurses in Xinjiang,China,to analyze the influencing factors for the development of WMSDs,and to provide a reference for the prevention and treatment of WMSDs in nurses.Methods Stratified cluster sampling was used to randomly select 8 422 nurses in 8 tertiary hospitals and 4 secondary hospitals in Xinjiang from January to October,2015.A questionnaire survey was performed to investigate the prevalence of WMSDs in nurses from departments of internal medicine,surgery,gynecology,pediatrics,emergency,and intensive care and operating rooms and analyze related influencing factors.Results A total of 3 000 questionnaires were distributed,and 2 851 questionnaires were returned,resulting in a recovery rate of 95.00％.In the nurses who participated in the survey,the prevalence of WMSDs was 78.58％.As for different body parts,the prevalence of WMSDs was 63.36％ in the waist,61.79％ in the neck,52.52％ in the shoulder,41.83％ in the back,35.56％ in the knees,33.35％ in the ankles,26.02％ in the wrists,23.41％ in the hip,and 17.62％ in the elbows.There were significant differences in the prevalence of WMSDs across the nurses with different ages and working years (X2=28.29 and 27.73,both P＜0.01),and the prevalence of WMSDs tended to increase with the increasing age and working years (X2=22.94 and 17.56,both P＜0.01).The results of multivariate logistic regression analysis showed that sex,working years,intensive care/emergency,outpatient service,surgical anesthesia,weekly working hours,physical condition,and fatigue in work were risk factors for WMSDs in nurses.Conclusion In the nurses in Xinjiang,the prevalence of WMSDs in the neck,shoulder,back,and waist is high,and nurses with different ages,working years,departments,sexes,physical conditions,and weekly working hours have varying degrees of risk of WMSDs.