Background Prolonged vibration exposure can lead to vascular endothelial cell dysfunction and cellular injury. However, research on the association between vibration and ferroptosis in vascular endothelial cells remains insufficient. Objective To explore whether occupational vibration exposure is associated with alterations in serum markers related to ferroptosis in patients with hand-arm vibration disease (HAVD), and to further investigate, through in vitro cell experiments, whether vibration exposure may induce ferroptosis in vascular endothelial cells. Methods ①A judgmental sampling method was employed to select 50 workers with HAVD (the HAVD group), 50 vibration-exposed workers without HAVD (the vibration exposure group), and 50 non–hand-transmitted vibration-exposed workers (the control group). Serum iron levels, malondialdehyde (MDA) content, and superoxide dismutase (SOD) levels were measured using serum iron assay kits, MDA detection kits, and SOD detection kits, respectively. One-way analysis of variance and binary logistic regression analysis were performed to examine the relationships between these indicators and HAVD. ②Human umbilical vein endothelial cells (HUVEC) were divided into a vibration group and a control group. The vibration group was subjected to vibration at 120 Hz with an acceleration of 6.5 m·s⁻² and further subdivided into four subgroups: 1 d 2 h, 1 d 4 h, 2 d 2 h, and 2 d 4 h. The control group was treated identically except for vibration exposure. Cellular iron (Fe²⁺) content and reduced glutathione (GSH) levels in HUVEC were measured using ferrous iron colorimetric assay kits and GSH colorimetric assay kits, respectively, to assess the effects of different vibration exposure schedules. Real-time quantitative polymerase chain reaction (RT-qPCR) was performed to detect the mRNA expression levels of ferroptosis-related genes, including acyl-CoA synthetase long-chain family member 4 (ACSL4), tumor suppressor protein P53 (P53), ferritin heavy chain 1 (FTH1), and glutathione peroxidase 4 (GPX4). Western blot analysis was conducted to determine the protein expression levels of ferroptosis-related markers in HUVEC. Results ①Compared with the control group, the patients in the HAVD group showed increased serum iron and MDA levels, along with decreased SOD levels (P<0.05). The logistic regression analysis indicated that elevated serum iron levels were significantly associated with an increased risk of HAVD (OR=4.034; 95%CI: 2.063, 7.887), and elevated MDA levels were also associated with an increased risk of HAVD (OR=1.523; 95%CI: 1.026, 1.936). ②Compared with the control group, increased intracellular Fe²⁺ content and decreased GSH content were observed in HUVECs in the 1 d 4 h and 2 d 4 h vibration subgroups (P<0.05). The RT-qPCR results showed that, compared with the control group, vibration exposures of 1 d 4 h and 2 d 4 h significantly upregulated the expression of ACSL4 and P53 (P<0.05), whereas the mRNA expression levels of GPX4 and FTH1 were downregulated in all vibration-exposed endothelial cells (P<0.05). The Western blot results revealed that, compared with the control group, the vibration exposure schedules of 1 d 2 h and 1 d 4 h significantly upregulated the protein expression levels of ACSL4 and P53 (P<0.05), while the vibration exposure schedules of 1 d 4 h, 2 d 2 h, and 2 d 4 h significantly downregulated the protein expression levels of FTH1 and GPX4 (P<0.05). Conclusion Occupational vibration exposure is associated with alterations in iron metabolism and oxidative stress status in workers with HAVD. The in vitro experiments further demonstrates that vibration stimulation induces intracellular iron accumulation and reduces antioxidant capacity in vascular endothelial cells, accompanied by dysregulated expression of ferroptosis-related molecules. These findings suggest that ferroptosis may play a role in vibration-induced vascular injury and the pathogenesis of HAVD.

Background As one of the primary operational methods in the power grid industry, the insulated glove working method imposes significant physical demands due to the constraints of insulating equipment and specific required postures, resulting in substantial occupational health hazards among workers in this sector, which have garnered widespread social attention. Objective To investigate the prevalence and influencing factors of work-related musculoskeletal disorders (WMSDs) in the neck, shoulder, and lumbar regions among workers wearing insulated gloves, and to provide targeted measures to reduce occupational hazards. Methods Using stratified cluster sampling, 1079 frontline workers were randomly selected from power supply enterprises across 3 provinces in China. The revised Chinese version of the Musculoskeletal Disorders Questionnaire was used to investigate the 1-year prevalence of WMSDs in the neck, shoulder, and lumbar regions among workers wearing insulated gloves, and to collect factors associated with multi-site WMSDs (defined as involvement of ≥2 sites among the neck, shoulder, and lumbar). Results The 1-year prevalence of WMSDs in the neck, shoulder, and lumbar regions was 39.9%, 30.0%, and 25.3%, respectively, with a multi-site WMSDs prevalence of 32.0%. Multiple logistic regression analysis showed that, compared to workers with technical secondary school education or senior high school education and below, workers with junior college education or bachelor’s degrees and above had a higher risk of multi-site WMSDs (OR=2.12, 95%CI: 1.47, 3.06). Compared to workers with <10 years of work experience, those with 10-<20 years of work experience had a higher risk of multi-site WMSDs (OR=1.96, 95%CI: 1.45, 2.67). Working in uncomfortable postures "sometimes" (OR=1.64, 95%CI: 1.14, 2.36), "frequently" (OR=2.75, 95%CI: 1.76, 4.29), and "very frequently" (OR=3.55, 95%CI: 2.04, 6.19) were significantly associated with an increased risk of multi-site WMSDs compared to never working in such postures. Frequent repetitive movements of the low back (OR=2.05, 95%CI: 1.48, 2.84) increased the risk of multi-site WMSDs, while sufficient rest time decreased the risk (OR=0.45, 95%CI: 0.34, 0.61). Conclusion The prevalences of single-site and multi-site WMSDs in the neck, shoulder, lumbar regions are relatively high among workers wearing insulated gloves. Factors associated with multi-site WMSDs include 10-<20 years of work experience, junior college education or bachelor’s degrees and above, uncomfortable working postures, frequent repetitive low-back movements, and lack of sufficient rest time.

Background As one of the primary operational methods in the power grid industry, the insulated glove working method imposes significant physical demands due to the constraints of insulating equipment and specific required postures, resulting in substantial occupational health hazards among workers in this sector, which have garnered widespread social attention. Objective To investigate the prevalence and influencing factors of work-related musculoskeletal disorders (WMSDs) in the neck, shoulder, and lumbar regions among workers wearing insulated gloves, and to provide targeted measures to reduce occupational hazards. Methods Using stratified cluster sampling, 1079 frontline workers were randomly selected from power supply enterprises across 3 provinces in China. The revised Chinese version of the Musculoskeletal Disorders Questionnaire was used to investigate the 1-year prevalence of WMSDs in the neck, shoulder, and lumbar regions among workers wearing insulated gloves, and to collect factors associated with multi-site WMSDs (defined as involvement of ≥2 sites among the neck, shoulder, and lumbar). Results The 1-year prevalence of WMSDs in the neck, shoulder, and lumbar regions was 39.9%, 30.0%, and 25.3%, respectively, with a multi-site WMSDs prevalence of 32.0%. Multiple logistic regression analysis showed that, compared to workers with technical secondary school education or senior high school education and below, workers with junior college education or bachelor’s degrees and above had a higher risk of multi-site WMSDs (OR=2.12, 95%CI: 1.47, 3.06). Compared to workers with <10 years of work experience, those with 10-<20 years of work experience had a higher risk of multi-site WMSDs (OR=1.96, 95%CI: 1.45, 2.67). Working in uncomfortable postures "sometimes" (OR=1.64, 95%CI: 1.14, 2.36), "frequently" (OR=2.75, 95%CI: 1.76, 4.29), and "very frequently" (OR=3.55, 95%CI: 2.04, 6.19) were significantly associated with an increased risk of multi-site WMSDs compared to never working in such postures. Frequent repetitive movements of the low back (OR=2.05, 95%CI: 1.48, 2.84) increased the risk of multi-site WMSDs, while sufficient rest time decreased the risk (OR=0.45, 95%CI: 0.34, 0.61). Conclusion The prevalences of single-site and multi-site WMSDs in the neck, shoulder, lumbar regions are relatively high among workers wearing insulated gloves. Factors associated with multi-site WMSDs include 10-<20 years of work experience, junior college education or bachelor’s degrees and above, uncomfortable working postures, frequent repetitive low-back movements, and lack of sufficient rest time.

Work-related musculoskeletal disorders (WMSDs) are a leading cause of worker absenteeism, disability, and wage loss. To mitigate WMSDs, many countries and organizations have established classification systems; however, significant discrepancies persist due to the lack of a unified consensus. China’s newly revised Classification and Catalogue of Occupational Diseases will take effect in August 2025, marking the first inclusion of WMSDs as a statutory occupational disease category, encompassing carpal tunnel syndrome and bursitis. On the occasion of this updated list, this paper reviewed the global status of WMSDs and compared their classification frameworks across major countries and regions. The special column on WMSDs was organized to address the epidemiological trends, risk factor identification, and assessment methodologies in China, aiming to provide scientific foundations for the prevention and control of WMSDs.

Background A large number of power supply workers are involved in live working and are exposed to multiple risk factors for long periods of time during outdoor work, which in turn causes occupational health problems. Objective To identify potential ergonomic factors related to work-related musculoskeletal disorders (WMSDs) and estimate the ergonomic risk of electricians. Methods A total of 31 workers were randomly selected from a training base under a power supply enterprise in Guangxi, and their operation processes were recorded by video. Using the Rapid Upper Limb Assessment (RULA) method, the workers were scored by the posture of their arms, neck, and torso during operation, and the final scores were summarized to assess their risk level. Two independent samples t-tests were used to compare the differences in RULA scores. Results A total of 31 videos for mounting/dismounting insulation mask and 29 videos for breaking/connecting contact terminal were collected. The RULA score for mounting/dismounting insulation mask was 6.6 ± 0.7 (left side) and 7.0 ± 0.2 (right side), most of the workers had a score of 7 (71.0% on the left side and 96.8% on the right side), and the upper limb and overall scores on the right side were higher than those on the left side (P < 0.05). The RULA score for breaking/connecting contact terminal was 6.9 ± 0.4 (both right and left sides), most of workers had a score of 7 (89.7% on the left side and 93.1% on the right side), and the difference of the overall scores between the right and left side for this operation were not statistically significant (P > 0.05). The ergonomic risk levels for both operations were level 3 or higher. Conclusion Mounting/dismounting insulation mask and breaking/connecting contact terminal are typical upper limb operations, and have a high level of ergonomics risk, requiring effective preventive and protective measures.

Background The positive rate of work-related musculoskeletal disorders (WMSDs) among coal mine workers remains high, which seriously affects the quality of life of the workers. Objective To estimate the prevalence of WMSDs among coal miners in Shanxi Province and analyze their influencing factors. Methods From May to December 2023, 2315 coal miners from a coal mine enterprise inShanxi Province were selected by convenience sampling, and the self-administered Basic Situation Survey Scale, Musculoskeletal Disorders Questionnaire, Effort-Reward Imbalance Questionnaire, and Pittsburgh Sleep Quality Scale were used to evaluate general demographic characteristics, work organization characteristics, living habits, sleep quality, occupational stress, and occurrence of WMSDs symptoms and the corresponding absences (sickness absence) in past 1 year. The positive rate and absenteeism rate of WMSDs were caculated, and Pearson's chi-square test was used for identify influencing factors of WMSDs, and finally a binary logistic regression method was used to further studying the factors. Results A total of 2577 questionnaires were distributed in this survey, and 2315 valid questionnaires were recovered, with an effective recovery rate of 89.9%. The positive rate of WMSDs symptoms was 48.7% (1127/2315), the absenteeism rate due to WMSDs was 22.6% (523/2315), and the waist (17.5%), neck (11.7%), and knee (9.0%) were the most common areas presenting WMSDs symptoms. The results of logistic regression showed that compared with ≤10 years of service, the risk of WMSDs was higher for those with > 20 years of service (OR=2.167, 95%CI: 1.419, 3.311). Compared with the daily working time of ≤8 h, the risk of WMSDs was higher for those >8 h daily working time (OR=1.463, 95%CI: 1.211, 1.767). A higher risk of WMSDs was reported in workers with moderate labor intensity (OR=1.247, 95%CI: 1.009, 1.542) or heavy labor intensity (OR=1.570, 95%CI: 1.215, 2.027) than those with light labor intensity. The higher the education level (OR _{high school and technical secondary school}=1.866, 95%CI: 1.435, 2.425; OR _{junior college/bachelor degree or above}=1.953, 95%CI: 1.445, 2.639), the higher the risk of WMSDs. The risk of WMSDs was higher in workers reporting smoking (OR=1.225, 95%CI: 1.021, 1.470) or alcohol consumption (OR=1.345, 95%CI: 1.122, 1.612). The risk of WMSDs in coal miners with high occupational stress (OR=1.229, 95%CI:1.030, 1.466) or those with sleep disorders (OR=3.616, 95%CI:2.824, 4.629) was higher than that in workers with low occupational stress or no sleep disorders respectively. Conclusion The positive rate of WMSDs among coal mine personnel in Shanxi Province is high, and education level, length of service, daily working hours, smoking, alcohol consumption, labor intensity, sleep disorders, and occupational stress are influencing factors for WMSDs.

Background Unhealthy lifestyle behaviors may be associated with an increased risk of cardiometabolic risk factor aggregation (CMRF≥ 2), and few studies have focused on the correlation between the two in occupational populations. Objective To investigate the current status of CMRF≥2 and the compliance of healthy lifestyle in male occupational personnel, explore the effect of lifestyle on cardiometabolic risk, and provide reference for formulating healthy behavior promotion strategies and reducing cardiometabolic risk in occupational populations. Methods The study subjects were selected from male workers who completed occupational health examinations at an occupational disease prevention and control hospital in Shanxi Province from May to December 2023, and 15125 study subjects aged 18−60 years were finally included according to pre-determined inclusion and exclusion criteria. All subjects received a series of assessments including questionnaires (basic information, lifestyle habits, and occupational factors), physical examination, laboratory tests, and six cardiometabolic risk factors (central obesity, hypertension, type 2 diabetes, hypertriglyceridemia, low-density lipoprotein cholesterolemia, and hyperuricemia). A healthy lifestyle score was calculated based on six behavioral factors (smoking, drinking, physical activity, diet, sleep, sedentary behavior) and 1 point for one positive healthy behavior. The enrolled workers were then divided into three groups according to their total scores: 0−1 points (poor group), 2−3 points (moderate group), and 4−6 points (good group). Logistic regression models were used to analyze the statistical associations between lifestyle and CMRF≥2. Results The median age of the 15125 male study participants was 40 years, and the positive rate of CMRF≥2 was 53.5%. Adherence to moderate alcohol consumption was the most compliant healthy behavior (79.4%), followed by current non-smoking (41.7%), while adherence to adequate sedentary behavior (23.6%) and healthy eating (21.1%) were relatively low, and only 17.4% were able to adhere to four or more healthy lifestyle behaviors. After adjusting for confounders, when compared with the poor group high lifestyle score was found to be a protective factor for CMRF≥2 (moderate group: OR=0.70, 95%CI: 0.63, 0.77; good group: OR=0.66, 95%CI: 0.58, 0.75). In stratified analyses across different job types (coal miners, auxiliary workers, ground workers, and others), occupational stress (with or without), shift patterns (day shift, night shift, or rotating shift), dust exposure (with or without), and noise exposure (with or without), individuals with higher lifestyle scores exhibited a consistently lower risk of CMRF≥2. There was an interaction between shift pattern and lifestyle on CMRF≥2 (P_interaction<0.05). Conclusion This occupational group has a high positive rate of CMRF≥2 and a high prevalence of poor lifestyles with low adherence to some healthy behaviors. High healthy lifestyle scores are associated with a lower risk of aggregation of cardiometabolic risk factors, which may be reduced through lifestyle interventions.

Background The prevalence of hyperuricemia (HUA) among Chinese residents has been increasing annually, with occupational populations facing a higher risk of HUA due to shift work or obesity. Objective To investigate the impact of shift work and obesity on HUA among coal miners, and to provide scientific data for the prevention of HUA in this occupational group. Methods A cross-sectional study was conducted with 25619 workers from a coal mining group in 2023 as the study population, using a questionnaire survey and occupational health check-ups. Workers who were retired or on medical leave, as well as those who provided incomplete responses to the questionnaire or did not complete anthropometric measurements or blood tests, were excluded. A total of 23173 participants were included in the study. An unconditional logistic regression model was used to analyze the association between HUA and selected factors such as shift work status, years of shift work, daily shift work hours, body mass index (BMI), waist-to-height ratio (WHtR), and visceral adiposity index (VAI), as well as the interaction between obesity and shift work on HUA. Restricted cubic spline functions were used to analyze the dose-response relationship between years of shift work, daily shift work hours, and HUA. Results The average age of the included workers was (42.38 ± 9.82) years. A total of 6735 workers reported positive HUA, with a positive rate of 29.1%, and the prevalence was higher in men compared to women (31.8% vs. 13.9%). After adjusting for confounding factors, the restricted cubic spline model revealed a nonlinear dose-response relationship between years of shift work, daily shift work duration, and HUA: ① When the years of shift work exceeded 3.25 years, the risk of HUA in workers gradually increased with longer work duration. At 20 years of shift work, the risk increase showed a "saturation effect," meaning that the risk of HUA no longer increased with additional years of shift work. ② When daily shift work duration was below 10 h, the risk of HUA increased with the length of shift work, but after exceeding 10 h, the risk stabilized. After adjusting for confounding factors, the logistic regression model showed that, compared to non-shift workers, shift workers, those with 10-20 years and over 20 years of shift work experience, as well as those working less than 8 h and more than 8 h per day, had a higher risk of HUA, with odds ratios (OR) of 1.14 (95%CI: 1.06, 1.22), 2.42 (95%CI: 2.20, 2.67), 2.23 (95%CI: 2.00, 2.48), 1.41 (95%CI: 1.29, 1.54), and 1.90 (95%CI: 1.75, 2.06), respectively. Additionally, compared to individuals with normal obesity indices, those with overweight and obesity based on BMI, high and very high VAI and excessive WHtR had a higher risk of HUA, with ORs of 2.01 (95%CI: 1.85, 2.17), 3.51 (95%CI: 3.20, 3.84), 1.42 (95%CI: 1.32, 1.54), 2.10 (95%CI: 1.91, 2.30), and 1.82 (95%CI: 1.69, 1.97), respectively. The interaction analysis showed no interaction between shift work and obesity index (both P_s < 0.001). Conclusion Shift work, longer shift work years, and longer daily shift work hours increase the risk of HUA among coal miners. Additionally, the role of obesity in the development of HUA cannot be ignored.

Background Thyroid hormones are crucial for development and proper functioning of human physiological systems. Current research on the thyroid mainly focuses on the impacts of lifestyle factors on thyroid dysfunction, while less attention is paid to the factors affecting thyroid hormone levels, especially occupational hazards, which warrants further investigation. Objective To investigate the associations between occupational hazard exposure and thyroid-stimulating hormone (TSH) and thyroid hormone levels in male coal mine workers. Methods A cross-sectional study design was adopted. A total of 12564 workers who participated in the occupational health check-ups at the Xishan Coal Electricity (Group) Corporation Occupational Disease Prevention and Control Institute in 2023 and met the inclusion and exclusion criteria were selected as research subjects. A self-designed electronic questionnaire was used to collect basic information, occupational history, and lifestyle habits of all study subjects. Height, weight, thyroid function test results, and occupational hazard exposure of the study subjects were obtained through occupational health examinations and routine workplace occupational hazard detection records. Generalized linear regression was used to analyze the associations between occupational hazard exposure and the levels of TSH and thyroid hormones. Results The median (P₂₅, P₇₅) levels of triiodothyronine (T3), thyroxine (T4), free triiodothyronine (FT3), free thyroxine (FT4), and TSH in the included 12564 male coal mine workers were 1.16 (1.03, 1.29) ng·mL⁻¹, 7.70 (6.70, 8.90) μg·dL⁻¹, 3.63 (3.40, 3.84) pg·mL⁻¹, 1.19 (1.08, 1.30) ng·dL⁻¹, and 1.93 (1.36, 2.78) μIU·mL⁻¹, respectively. The overall abnormality rate of thyroid hormones was 2.83%, with the highest rate for subclinical hypothyroidism (1.83%), followed by hyperthyroidism (0.37%), hypothyroidism (0.32%), and subclinical hyperthyroidism (0.31%). After adjustment for confounding factors, the generalized linear regression model showed that long working hours were associated with higher levels of T3 and FT3, with β (95%CI) values of 0.011 (0.003, 0.019) and 0.038 (0.019, 0.057) respectively. Night shift work was linked to increased TSH levels and decreased FT4 levels, with β (95%CI) values of 0.171 (0.016, 0.326) and −0.012 (−0.019, −0.006) respectively. Coal dust exposure was associated with decreased levels of T3 and T4, with β (95%CI) values of −0.022 (−0.037, −0.008) and −0.320 (−0.434, −0.207) respectively. Noise exposure was related to decreased levels of T4 and FT4, with β (95%CI) values of −0.102 (−0.166, −0.038) and −0.020 (−0.027, −0.013) respectively. Conclusion The TSH and thyroid hormone levels of coal miners are mostly within the normal reference ranges, with a low abnormality rate. Long work hours, night shift work, coal dust, and noise are associated with the levels of TSH and thyroid hormone levels in the male miners. Coal companies should reasonably arrange working hours, optimize the night shift scheduling system, and enhance protection against coal dust and noise to promote occupational health and safeguard the physical health of miners.

Background In recent years, the detection rate of thyroid nodules in China's occupational population has shown an upward trend. The prevalence of this disease needs to be taken seriously and targeted measures should be taken to address its influencing factors. Objective To analyze the detection and influencing factors of thyroid nodules among adult male workers in coal mining enterprises in Shanxi Province, and provide a theoretical basis for the prevention of thyroid nodules. Methods A total of 5195 adult male workers from coal mining enterprises who ordered physical examination provided by the Xishan Coal Electricity (Group) Corporation Occupational Disease Prevention and Control Institute in Taiyuan City, Shanxi Province from May 2023 to December 2023 were selected as research subjects. A questionnaire survey, physical examination, ultrasound examination, and biological sample collection and testing were conducted. Thyroid nodules were diagnosed based on ultrasound results, classified and evaluated according to the Chinese-Thyroid Imaging Reporting and Data System (C-TIRADS), and the crude detection rate and standardized detection rate of thyroid nodules in adult male coal mine workers in Shanxi Province wereestimated. Occupational history and occupational exposure information were retrieved from their annual occupational health examination reports provided by the employer. Logistic regression modeling was used to analyze the influencing factors of thyroid nodule. Results A total of 1688 cases of thyroid nodules were detected, with a crude detection rate of 32.49% and an age-standardized detection rate of 31.17%. The cases (constitution ratio) of thyroid nodules by category in the detected cases was as follows: 358 cases (21.21%) were classified as category 2, 1261 cases (74.70%) as category 3, 67 cases (3.97%) as category 4a, and 2 cases (0.12%) as category 4b. The results of logistic regression showed that the duration of exposure to occupational hazards for 11-20 years, 21-30 years, ≥31 years, average monthly working>26 days, and shift work were positively correlated with the detection of thyroid nodules (P<0.05), and the associated ORs (95%CIs) were 1.29 (1.01, 1.65), 1.55 (1.20, 1.99), 1.68 (1.26, 2.55), 1.19 (1.00, 1.40), and 1.15 (1.02, 1.29), respectively. Conclusion The duration of exposure to occupational hazards, average monthly working days, and shift work are influencing factors of thyroid nodules. Intervention measures should be developed based on these influencing factors to prevent the occurrence of thyroid nodules.