Objective To analyze the incidence of prehypertension (PHTN) and hypertension of male workers in a coal mine and investigate the influencing factors. Methods A total of 10 155 male workers in a coal mine in Shanxi Province were selected as the study subjects using the judgment sampling method. Occupational medical examination was carried out to examine the prevalence of abnormal blood pressure (including PHTN and hypertension) and its influencing factors. Results The prevalence of abnormal blood pressure was 69.9%, with a PHTN prevalence of 44.2% and a hypertension prevalence of 25.7%. The results of multinomial logistic regression analysis showed that the risk of PHTN and hypertension increased with age, drinking frequency and body mass index (all P<0.05). Workers with a pulse rate≥100 times/min had a higher risk of PHTN and hypertension than those with a pulse rate of 60-100 times/min (all P<0.05). The risk of PHTN and hypertension in workers exposed to noise, silica dust or other dust was higher than those without such occupational hazard exposure (all P<0.05). The risk of hypertension in workers with abnormal blood glucose was higher than that in workers with normal blood glucose (P<0.05). Exposure to organic solvents was associated with a higher risk of hypertension (P<0.05). Conclusion The prevalence of PHTN and hypertension among male coal miners in this mine is relatively high. The individual factors such as age, alcohol consumption, pulse rate, and body mass index, along with occupational exposure factors such as noise, silica dust, and other dusts, are influencing factors for PHTN and hypertension.

Objective: To investigate the features of literature on hand-transmitted vibration in China, 1990-2016. Methods: In September 2017, the studies on hand-transmitted vibration in China, which were published in Chinese or English during 1990-2016, with "China" and "Taiwan" as the places where author affiliations were located, were retrieved. A bibliometric analysis was performed to investigate the type of articles, publication time, the journals in which articles were published, author affiliations, author regions, and funding. Results: A total of 205 articles on hand-transmitted vibration were retrieved. There were 7.59 articles on average published annually from 1990 to 2016. In the 205 articles, 114 (55.61%) were published in the journals indexed in one or two core journal databases. In the 64 journals, 22 (34.38%) were indexed in one or two core journal databases. The first authors were from 22 provincial regions (provinces, autonomous regions, or centrally administered municipalities) in China, with 152 articles (74.15%) by the authors in the top five regions. There were a total of 876 authors, and the co-authorship degree was 4.27 (876/205). Most of the first authors (136 articles, 66.34%) were affiliated with universities or institutes for prevention and control of occupational diseases. Among the 205 articles, 103 (50.24%) were original articles or investigations, and 72 (35.12%) were funded. Conclusion The studies on hand-transmitted vibration fluctuated and increased from 1990 to 2016, with a relatively concentrated distribution in terms of sources, regions, and institutions. Interregional and international academic exchange should be strengthened.

Objective: To understand the prevalence of dyslipidemia and risk factors among coal miners under different work conditions. Methods: The survey was conducted from April 2016 to June 2016. 759 mine workers were divided into three groups (group of the front line miner, underground auxiliary and ground) . Questionnaire and physical examination were used to collect related information of workers. Logistic regression model was used to analyze relative factors. Results: The overall prevalence of dyslipidemia was 43.2% in coal miners. The prevalence rate of the front line miner and underground auxiliary miners was 46.6%. Ground workers had the lowest prevalence rate of 36.4%. Multiple Logistic regression analysis showed that higher body mass index (BMI) was risk factors for underground workers (OR=2.18, 95%CI:1.51~3.13) . Smoking (OR=1.99, 95%CI:1.17~3.38) , drinking (OR=1.85, 95%CI:1.11~3.06) , hypertension (OR=1.79, 95%CI:1.00~3.22) and higher waist and hip ratio (OR=1.06, 95%CI:1.04~1.09) were risk factors for underground auxiliary workers. For ground workers, those with higher BMI (OR=2.64, 95%CI:1.68~4.16) were at higher risk of dyslipidemia and female workers had lower risk (OR=0.35, 95%CI:0.18~0.65) than male workers. Conclusion The dyslipidemia rate of coal mine workers is related to work environment and behavior. Health education may be needed to reduce the dyslipidemia rate of coal mine workers.

{L-End}Objective To investigate the current status of sleep quality and its influencing factors among coal miners in a company in Shanxi Province. {L-End}Methods A total of 1 047 coal miners from a coal mine company in Shanxi Province were selected as the study subjects by convenient sampling method. The occupational stress, occupational burnout and sleep quality of the study subjects were investigated using Occupational Stress Core Scale, Maslach Burnout Inventory-General Survey and Pittsburg Sleep Quality Index Scale. {L-End}Results The detection rates of occupational stress, occupational burnout, sleep disorder were 58.9%, 59.1% and 57.9%, respectively. The result of multivariate logistic regression analysis showed that education level, alcohol consumption, work shift, duration of dust-exposure, phase of respiratory symptoms, self-assessment of health, occupational stress and occupational burnout were independent influencing factors of sleep disorders in the coal miners (all P<0.05). Among them, the risk of sleep disorders in drinkers was higher than that in non-drinkers (P<0.05); the risk of sleep disorders was higher in miners working in a rotating work shift with two shifts than in those with three shifts (P<0.05); the higher the education level, the longer the duration of dust-exposure, the more serious the phase of respiratory symptoms, the worse the self-assessment of health, the higher the degree of occupational stress and the higher the degree of occupational burnout, the higher the risk of sleep disorders (all P<0.05). {L-End}Conclusion The incidence of sleep disorders in coal miners in this company is relatively high. Occupational stress, occupational burnout, education level, alcohol consumption, work shift, duration of dust-exposure, respiratory symptoms and health status are risk factors for sleep disorders in coal miners.

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 Exposure to polycyclic aromatic hydrocarbons (PAHs) is associated with the development of metabolic syndrome (MS). However, the role of amino acids in PAH-induced MS remains unclear. Objective To explore the impact of PAHs exposure on the incidence of MS among coking workers, and to determine potential modifying effect of amino acid on this relationship. Methods Unmatched nested case-control design was adopted and the baseline surveys of coking workers were conducted in two plants in Taiyuan in 2017 and 2019, followed by a 4-year follow-up. The cohort comprised 667 coking workers. A total of 362 participants were included in the study, with 84 newly diagnosed cases of MS identified as the case group and 278 as the control group. Urinary levels of 11 PAH metabolites and plasma levels of 17 amino acids were measured by ultrasensitive performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Logistic regression was used to estimate the association between individual PAH metabolites and MS. Stratified by the median concentration of amino acids, Bayesian kernel machine regression (BKMR) model was employed to assess the mixed effects of PAHs on MS. Due to the skewed data distribution, all PAH metabolites and amino acids in the analysis were converted by natural logarithm ln (expressed as lnv). Results The median age of the 362 participants was 37 years, and 83.2% were male. Compared to the control group, the case group exhibited higher concentrations of urinary 2-hydroxyphenanthrene (2-OHPhe), 9-hydroxyphenanthrene (9-OHPhe), and hydroxyphenanthrene (OHPhe) (P=0.005, P=0.049, and P=0.004, respectively), as well as elevated levels of plasma branched chain amino acid (BCAA) and aromatic amino acid (AAA) (P<0.05). After being adjusted for confounding factors, for every unit increase in lnv_2-OHPhe in urine, the OR (95%CI) of MS was 1.57 (1.11, 2.26), and for every unit increase in lnv_OHPhe, the OR (95%CI) of MS was 1.82 (1.16, 2.90). Tyrosine, leucine, and AAA all presented a significant nonlinear correlation with MS. At low levels, tyrosine, leucine, and AAA did not significantly increase the risk of MS, but at high levels, they increased the risk of MS. In the low amino acid concentration group, as well as in the low BCAA and low AAA concentration groups, it was found that compared to the PAH metabolite levels at the 50th percentile (P₅₀), the log-odds of MS when the PAH metabolite levels was at the 75th percentile (P₇₅) were 0.158 (95%CI: 0.150, 0.166), 0.218 (95%CI: 0.209, 0.227), and 0.262 (95% CI: 0.241, 0.282), respectively, However, no correlation between PAHs and MS was found in the high amino acid concentration group. Conclusion Amino acids modify the effect of PAHs exposure on the incidence of MS. In individuals with low plasma amino acid levels, the risk of developing MS increases with higher concentrations of mixed PAH exposure. This effect is partly due to the low concentrations of BCAA and AAA.