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.

Blonanserin,a second-generation atypical antipsychotic agent,acts as an antagonist for dopamine D2,D3,and serotonin 5-HT2A receptors.Clinical studies have demonstrated that blonanserin is non-inferior to other antipsychotics,such as haloperidol and risperidone,in alleviating the symptoms of schizophrenia.Moreover,it exhib-its beneficial effects on cognitive symptoms and social functioning,with a favorable safety profile,making it one of the key treatment options for schizophrenia.With extensive clinical experience accumulated in China,this expert consensus aims to provide psychiatrists with updated and localized guidance on the optimal use of blonan-serin.Based on a systematic review of the latest evidence-particularly studies in Chinese population,this paper pres-ents the updated Chinese expert recommendations for the clinical use of blonanserin in 2024.

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.

OBJECTIVE To evaluate the quality differences of Alpinia katsumadai from different habitats. METHODS High- performance liquid chromatography（HPLC） was used to establish the fingerprints of A. katsumadai from 18 batches of different habitats， and the quality of A. katsumadai from different habitats was comprehensively evaluated by similarity evaluation， cluster analysis （CA）， principal component analysis （PCA）， orthogonal partial least squares-discriminant analysis （OPLS-DA） and the content determination results of alpinetin， pinocembrin， cardamonin and alnustone in A. katsumadai. RESULTS The similarity of HPLC fingerprints for 18 batches of A. katsumadai was ＞0.9. Eleven common peaks were identified from the chromatogram， and four of them were specifically characterized. Both CA and PCA grouped 18 batches of A. katsumadai into 3 categories， extracting 2 principal components （the cumulative variance contribution rate reached 89.798%）. OPLS-DA identified 9 quality difference markers， namely the components corresponding to peaks 4， 9， 3， 2， 7 （pinocembrin）， 8 （cardamonin）， 6 （alpinetin）， 10 and 11 （alnustone）. The content of alpinetin， pinocembrin， cardamonin， and alnustone ranged from 4.507 1-11.579 7， 5.154 4-14.183 3， 5.109 5-13.588 3 and 4.494 6-11.277 2 mg/g， respectively. CONCLUSIONS The quality of A. katsumadai from different habitats is quite different， and the quality of A. katsumadai from Hainan is the best.

OBJECTIVE To explore the mechanism of Huayu jiedu formula in regulating inflammatory injury in chronic kidney disease （CKD）. METHODS Fifty male SD rats were randomly divided into a sham surgery group （10 rats） and a modeling group （40 rats）. The CKD model was replicated in the modeling group by unilateral ureteral obstruction surgery. After successful modeling， the rats were randomly divided into model group， esaxerenone group （positive control）， and TCM low- and high-dose groups， with 10 rats in each group. The Esaxerenone group was given 1 mg/kg of esaxerenone， while the TCM low- and high-dose groups were given 13.7 and 27.4 g/kg of Huayu jiedu formula respectively， the sham surgery group and model group were given an equal volume of physiological saline， all groups were intervened continuously for 14 days. Hematoxylin eosin and Masson staining were used to observe the pathological changes in rat kidney tissue. Conventional biochemical methods were used to detect serum urea （SUr）， serum creatinine （SCr）， malondialdehyde （MDA）， and superoxide dismutase （SOD） levels； enzyme-linked immunosorbent assay was used to detect the levels of serum interleukin-1β （IL-1β）， IL-6， and tumor necrosis factor-α（TNF-α）； immunohistochemistry and Western blot were used to detect the protein expression of peroxisome proliferator-activated receptor γ coactivator-1α（PGC-1α） ， mitochondrial transcription factor A （TFAM）， absent in melanoma 2（AIM2）， caspase-1， gasdermin D （GSDMD）， IL-1β and IL-18 in renal tissue； real-time fluorescence quantitative PCR was used to detect the mRNA expression of AIM2. RESULTS Compared with the sham surgery group， the renal tissue of the model group showed pathological changes such as glomerular deformation and destruction， severe tubular dilation， and increased deposition of blue fibrin； the levels of SUr， SCr， MDA， IL-1β， IL-6， TNF-α，the protein expression of AIM2， GSDMD， caspase-1， IL-1β， IL-18 ， and the mRNA expression of AIM2 were significantly increased or up-regulated （P＜0.01）； the levels of SOD， the protein expression of PGC-1α， TFAM were significantly reduced or down-regulated （P＜0.01）. Compared with the model group， all treatment groups showed improvement in the above symptoms and most indicators in rats. CONCLUSIONS Huayu jiedu formula may improve renal function， alleviate renal inflammatory damage and pyroptosis， and exert renal protective effects by regulating the AIM2 pyroptosis pathway.

BACKGROUND: The level of measurable residual disease (MRD) before and after transplantation is related to inferior transplant outcomes, and post-hematopoietic stem cell transplantation measurable residual disease (post-HSCT MRD) has higher prognostic value in determining risk than pre-hematopoietic stem cell transplantation measurable residual disease (pre-HSCT MRD). However, only a few work has been devoted to the risk factors for positive post-HSCT MRD in patients with acute lymphoblastic leukemia (ALL). This study evaluated the risk factors for post-HSCT MRD positivity in patients with ALL who underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT). METHODS: A total of 1683 ALL patients from Peking University People's Hospital between January 2009 and December 2019 were enrolled to evaluate the cumulative incidence of post-HSCT MRD. Cox proportional hazard regression models were built for time-to-event outcomes. Multivariable analysis was performed to determine independent influencing factors from the univariable analysis. RESULTS: Both in total patients and in T-cell ALL or B-cell ALL, pediatric or adult, human leukocyte antigen-matched sibling donor transplantation or haploidentical SCT subgroups, positive pre-HSCT MRD was a risk factor for post-HSCT MRD positivity ( P  <0.001 for all). Disease status (complete remission 1 [CR1] vs . ≥CR2) was also a risk factor for post-HSCT MRD positivity in all patients and in the B cell-ALL, pediatric, or haploidentical SCT subgroups ( P  = 0.027; P  = 0.003; P  = 0.035; P  = 0.003, respectively). A risk score for post-HSCT MRD positivity was developed using the variables pre-HSCT MRD and disease status. The cumulative incidence of post-HSCT MRD positivity was 12.3%, 25.1%, and 38.8% for subjects with scores of 0, 1, and 2-3, respectively ( P  <0.001). Multivariable analysis confirmed the association of the risk score with the cumulative incidence of post-HSCT MRD positivity and relapse as well as leukemia-free survival and overall survival. CONCLUSION Our results indicated that positive pre-MRD and disease status were two independent risk factors for post-HSCT MRD positivity in patients with ALL who underwent allo-HSCT.
Humans ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/pathology* ; Neoplasm, Residual ; Hematopoietic Stem Cell Transplantation/methods* ; Male ; Female ; Risk Factors ; Adolescent ; Adult ; Child ; Child, Preschool ; Young Adult ; Middle Aged ; Infant ; Transplantation, Homologous ; Proportional Hazards Models ; Retrospective Studies

Objective To explore the environmental factors influencing the distribution of Pulsatilla chinensis(Bge.)Regel and to predict its potential habitat in China;To provide reference for the assessment of its wild resources and the introduction of its cultivation.Methods Totally 230 pieces of information on the distribution of sample sites were collected.Combined with data of 48 environmental factors,MaxEnt model and ArcGIS 10.8 software were used to select the dominant environmental factors that affect their distribution,and visual analysis of potential suitable areas was conducted.Results The prediction accuracy of the established model met the requirements(AUC＞0.9).The main environmental factors affecting the distribution of Pulsatilla chinensis(Bge.)Regel were the precipitation in the wettest season,the average temperature in November,the altitude,the standard deviation of the seasonal variation of temperature,the precipitation in May and the average temperature in August,with a cumulative contribution rate of 84.3％.The prediction results showed that it was mainly distributed in the North China and Northeast China,with a total suitability zone of about 2 382 461.60 km2,of which the low suitability zone was about 1 263 497.00 km2,the medium suitability zone was about 582 879.20 km2,and the high suitability zone was about 536 085.40 km2,accounting for approximately 53.03％,24.47％and 22.50％of the total suitability zone.Conclusion The results of the model are consistent with the literature records,which can provide theoretical reference for the sustainable utilization of Pulsatilla chinensis(Bge.)Regel.resources.