Background Long working hours, as a common risk factor for occupational stress, is closely related to the occurrence of depressive symptoms. Understanding how long working hours affect occupational stress and depressive symptoms will inform occupational health interventions. Objective To quantify the impact of long working hours exposure on occupational stress and depressive symptoms among Internet industry employees, translate black-box outputs into actionable insights, and demonstrate the value of interpretable machine learning for early-warning occupational-health surveillance. Methods A dataset was derived from a cross-sectional survey involving 2866 internet industry employees in China. This survey was part of the project Risk Assessment Of Long Working Hour Exposure And Its Adverse Health Effects, conducted by the National Institute for Occupational Health and Poisoning Control, Chinese Center for Disease Control and Prevention, from 2021 to 2023. Working hours, occupational stress and depressive symptoms were quantified with a set of structured questionnaires including the Core Occupational Stress Scale and the Patient Health Questionnaire. Pairwise associations were screened by Mantel tests and variance-inflation factors. Key predictors identified through feature selection were fed into six machine-learning risk-prediction models. Visual interpretation was provided by feature importance, Shapley additive explanations (SHAP) and local interpretable model-agnostic explanations (LIME), while directed causal effects and intervention impacts of prolonged working hours exposure on occupational stress and depressive symptoms were dissected with causal explanation of features techniques. Results The positive rates of occupational stress and depressive symptoms among internet employees were 12.9% and 77.8% respectively. Twelve core features for occupational stress and nine for depressive symptoms were retained after selection. After these features were supplied to six predictive algorithms and evaluated on five metrics, the Light Gradient Boosting Machine (LGBM) achieved the highest accuracy—0.89 for occupational stress and 0.79 for depressive symptoms on the hold-out test set. The feature-importance rankings converged on fatigue accumulation and life satisfaction as dominant drivers for both outcomes, whereas weekly working hours and daily overtime emerged as the principal exposure-related predictors. The SHAP summary plots revealed that longer weekly hours and daily overtime systematically elevated the probability of occupational stress. The causal feature explanation further quantified that ascending one category in weekly working hours increased the probability of occupational stress by 7.04%. Conclusion Exposure to long working hours is associated with both occupational stress and depressive symptoms among internet industry employees. Interpretable machine-learning frameworks translate these associations into transparent, defensible drivers, enabling precise identification of the pivotal factors and their interplay. This evidence base equips occupational-health practitioners with actionable insights for designing targeted prevention and intervention strategies.

Background Occupational stress has emerged as a critical public health concern affecting the physical and mental well-being of workers in the manufacturing sector. However, researchers typically evaluate its core driver—cumulative fatigue—using a crude binary “present/absent” variable, thereby overlooking the high-dimensional complexity and heterogeneity inherent in fatigue characteristics. This oversimplification constrains both the precision and predictive performance of occupational stress risk assessment model. Objective Leveraging a data-driven approach, to survey data on cumulative fatigue among manufacturing employees, and then use this new classification to develop and validate an occupational stress prediction model, with an ultimate aim of enhancing the accuracy and effectiveness of occupational stress assessment. Methods A set of cross-sectional survey data on 3871 manufacturing employees in 2021 were derived from the “Long working hours exposure and its adverse health effect risk assessment” program of the National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Occupational stress was assessed using the Core Occupational Stress Measurement Scale, while cumulative fatigue was evaluated via the Worker’s Self-Diagnostic Questionnaire for Fatigue Accumulation. Boruta method was applied to screen core variables from 20 occupational stress influencing factors. Dimensionality reduction of cumulative fatigue features was performed using a Bayesian sparse autoencoder (BASE), followed by comparison and application of clustering methods to achieve multi-class classification of the reduced features. Six machine learning classification models were then selected including logistic regression, support vector machine, decision tree, random forest, adaptive boosting, and lightweight gradient boosting machine (LightGBM) to construct and compare two occupational stress prediction models involving cumulative fatigue combined with ten other core variables: one utilizing the original binary cumulative fatigue label as a core variable, and another employing the novel fatigue classification proposed herein as a core variable. Results The positive rate of occupational stress among the manufacturing employees was 38.9%. The Boruta method identified 11 core variables of occupational stress: depressive symptoms, cumulative fatigue, age, length of service, tenure in current position, average weekly working hours, average daily overtime hours, average monthly income, low levels of exercise, life satisfaction, and sleep quality. The BSAE reduced the original cumulative fatigue factors to 12 dimensions, while the K-means clustering grouped the reduced fatigue features into three categories: no fatigue, moderate fatigue, and sever fatigue. Six occupational stress prediction models were constructed using the three-category labels of cumulative fatigue and ten additional factors. The results indicated that the LightGBM model performed best, achieving an area under the curve (AUC) of 0.78, an accuracy of 0.77, and an F1 score of 0.72. Compared with the model incorporating the traditional binary labels for cumulative fatigue, the best prediction AUC (0.72), accuracy (0.66), and F1 score (0.65) improved by 6%, 11%, and 7%, respectively. Conclusion Cumulative fatigue is a significant predictor of occupational stress among manufacturing employees. Applying data dimensionality reduction combined with three-class cluster analysis to characterize cumulative fatigue improves the performance of occupational stress prediction models. From a data-driven perspective, machine learning methods demonstrate strengths in processing complex datasets, capturing nonlinear relationships, and generating predictions based on key variables. This study therefore confirms that refined processing of core factors substantially enhances the predictive capability of machine learning models in assessing occupational stress risk in the manufacturing workforce.

Objective:To investigate whether hysteroscopic transcervical resection of septum (TCRS) prior to in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) can improve cumulative live birth rates in patients with uterine septum. Methods:A retrospective cohort study was conducted to analyze data from 244 patients with partial uterine septum who underwent IVF/ICSI at the Reproductive Medicine Center of the Third Affiliated Hospital of Zhengzhou University between January 2016 and August 2022. The patients were divided into a surgical group ( n=171) and a non-surgical group ( n=73) based on whether TCRS was performed prior to IVF/ICSI. The clinical outcomes of IVF/ICSI in the two groups were analyzed, with the primary observation indicator being the cumulative live birth rate. Cox regression analysis was employed to identify determinants. Results:The age of patients in the operated group [(31.20±3.80) years] was younger than that in the non-operated group [(32.92±5.34) years, P=0.005], and the basal antral follicle count [17.0 (11.0, 24.0)] was higher than that in the non-operated group [14.0 (8.0, 21.5), P=0.039]. There were no significant differences in other baseline data (all P>0.05). The cumulative pregnancy rate [79.53% (136/171)] and the cumulative live birth rate [60.23% (103/171)] in the operated group during the 24-month follow-up period were significantly higher than those in the non-operated group [65.75% (48/73), P=0.022; 45.21% (33/73), P=0.030]. Compared with the operated group [296.0 (260.0, 430.0) d], the duration from the start of ovarian stimulation to the first live birth was significantly prolonged in the non-operated group [379.0 (329.5, 471.5) d, P<0.001]. Adjusted Cox-regression analysis showed that whether or not surgery was performed ( HR=1.683, 95% CI: 1.116-2.539, P=0.013) and the basal antral follicle count ( HR=1.032, 95% CI: 1.000-1.065, P=0.048) were independent factors affecting cumulative live birth rate. Conclusion:Performing TCRS before IVF/ICSI can improve cumulative live birth rates of patients with uterine septum.

Objective:To observe the characteristics of gastrointestinal tract symptoms in patients with Parkinson′s disease (PD) and analyze the characteristics of these symptoms in patients with different PD subtypes.Methods:A total of 297 PD patients who were admitted to the Neurology Department of the Second Affiliated Hospital of Soochow University from November 2022 to March 2024 were enrolled. The gastrointestinal symptoms of PD patients were evaluated using Drooling Severity and Frequency Scale (DSFS), Sialorrhea Clinical Scale for Parkinson′s disease (SCS-PD), Drooling Rating Scale (DRS), Eating Assessment Tool 10 (EAT-10), Gastroparesis Cardinal Symptom Index (GCSI), and Rome Ⅳ diagnostic criteria. The patients were grouped based on the presence or absence of gastrointestinal symptoms. Additionally, they were stratified according to disease duration (≤2 years, 2-5 years, 5-10 years, and>10 years) and motor symptom subtype [tremor-dominant (TD) vs. postural instability and gait difficulty (PIGD)]. One-way ANOVA and logistic regression analysis were applied to examine between-group differences while Spearman correlation analysis was employed to assess correlations between clinical symptoms.Results:The average age of the patients with PD was 67.0 (60.0, 72.0) years, and 161 (54.2%) were male. The incidence of PD combined with gastrointestinal symptoms was, in descending order: constipation (191, 64.3%), salivation (155, 52.2%), gastroparesis (93, 31.3%), and dysphagia (68, 22.9%). Compared with PD patients without gastrointestinal symptoms, those with symptoms had higher scores in the RBD-HK [12.0 (5.0, 21.5) vs. 5.0 (0.0, 9.0), Z=-3.74, P=0.017], ESS [6.0 (2.0, 12.0) vs. 3.0 (0.0, 6.0), Z=-3.20, P=0.023], and MDS-UPDRS Part Ⅰ [9.0 (5.0, 14.0) vs. 5.0 (2.3, 9.0), Z=-3.61, P=0.014]. The severity of sialorrhea and deglutition disorders, along with the incidence of constipation, all increased with longer disease duration. Patients with the PIGD subtype had higher GCSI scores than those with the TD subtype [0.0 (0.0, 1.9) vs. 0.0 (0.0, 0.0), Z=-3.57, P=0.007]. Across the cohort, sialorrhea, deglutition disorders, gastroparesis, and constipation were positively associated with the H-Y stage, MDS-UPDRS Ⅰ, HAMD, NMSQ, and SCOPA-AUT; EAT-10 scores were negatively correlated with MoCA ( r=-0.171, P<0.05); and GCSI scores were negatively correlated with MMSE and MoCA ( r=-0.154, r=-0.169, both P<0.05). Conclusions:Overall, 84.5% of the patients with PD had one or more gastrointestinal symptoms, and the incidence and severity of gastrointestinal symptoms increased with disease duration. The severity of gastroparesis was higher in the PIGD group than in the TD group. The scores of all gastrointestinal symptoms were positively correlated with the H-Y stage and MDS-UPDRS Ⅰ, while the GCSI scores were negatively correlated with the cognitive scores.

Objective:To investigate whether hysteroscopic transcervical resection of septum (TCRS) prior to in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) can improve cumulative live birth rates in patients with uterine septum. Methods:A retrospective cohort study was conducted to analyze data from 244 patients with partial uterine septum who underwent IVF/ICSI at the Reproductive Medicine Center of the Third Affiliated Hospital of Zhengzhou University between January 2016 and August 2022. The patients were divided into a surgical group ( n=171) and a non-surgical group ( n=73) based on whether TCRS was performed prior to IVF/ICSI. The clinical outcomes of IVF/ICSI in the two groups were analyzed, with the primary observation indicator being the cumulative live birth rate. Cox regression analysis was employed to identify determinants. Results:The age of patients in the operated group [(31.20±3.80) years] was younger than that in the non-operated group [(32.92±5.34) years, P=0.005], and the basal antral follicle count [17.0 (11.0, 24.0)] was higher than that in the non-operated group [14.0 (8.0, 21.5), P=0.039]. There were no significant differences in other baseline data (all P>0.05). The cumulative pregnancy rate [79.53% (136/171)] and the cumulative live birth rate [60.23% (103/171)] in the operated group during the 24-month follow-up period were significantly higher than those in the non-operated group [65.75% (48/73), P=0.022; 45.21% (33/73), P=0.030]. Compared with the operated group [296.0 (260.0, 430.0) d], the duration from the start of ovarian stimulation to the first live birth was significantly prolonged in the non-operated group [379.0 (329.5, 471.5) d, P<0.001]. Adjusted Cox-regression analysis showed that whether or not surgery was performed ( HR=1.683, 95% CI: 1.116-2.539, P=0.013) and the basal antral follicle count ( HR=1.032, 95% CI: 1.000-1.065, P=0.048) were independent factors affecting cumulative live birth rate. Conclusion:Performing TCRS before IVF/ICSI can improve cumulative live birth rates of patients with uterine septum.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To observe the characteristics of gastrointestinal tract symptoms in patients with Parkinson′s disease (PD) and analyze the characteristics of these symptoms in patients with different PD subtypes.Methods:A total of 297 PD patients who were admitted to the Neurology Department of the Second Affiliated Hospital of Soochow University from November 2022 to March 2024 were enrolled. The gastrointestinal symptoms of PD patients were evaluated using Drooling Severity and Frequency Scale (DSFS), Sialorrhea Clinical Scale for Parkinson′s disease (SCS-PD), Drooling Rating Scale (DRS), Eating Assessment Tool 10 (EAT-10), Gastroparesis Cardinal Symptom Index (GCSI), and Rome Ⅳ diagnostic criteria. The patients were grouped based on the presence or absence of gastrointestinal symptoms. Additionally, they were stratified according to disease duration (≤2 years, 2-5 years, 5-10 years, and>10 years) and motor symptom subtype [tremor-dominant (TD) vs. postural instability and gait difficulty (PIGD)]. One-way ANOVA and logistic regression analysis were applied to examine between-group differences while Spearman correlation analysis was employed to assess correlations between clinical symptoms.Results:The average age of the patients with PD was 67.0 (60.0, 72.0) years, and 161 (54.2%) were male. The incidence of PD combined with gastrointestinal symptoms was, in descending order: constipation (191, 64.3%), salivation (155, 52.2%), gastroparesis (93, 31.3%), and dysphagia (68, 22.9%). Compared with PD patients without gastrointestinal symptoms, those with symptoms had higher scores in the RBD-HK [12.0 (5.0, 21.5) vs. 5.0 (0.0, 9.0), Z=-3.74, P=0.017], ESS [6.0 (2.0, 12.0) vs. 3.0 (0.0, 6.0), Z=-3.20, P=0.023], and MDS-UPDRS Part Ⅰ [9.0 (5.0, 14.0) vs. 5.0 (2.3, 9.0), Z=-3.61, P=0.014]. The severity of sialorrhea and deglutition disorders, along with the incidence of constipation, all increased with longer disease duration. Patients with the PIGD subtype had higher GCSI scores than those with the TD subtype [0.0 (0.0, 1.9) vs. 0.0 (0.0, 0.0), Z=-3.57, P=0.007]. Across the cohort, sialorrhea, deglutition disorders, gastroparesis, and constipation were positively associated with the H-Y stage, MDS-UPDRS Ⅰ, HAMD, NMSQ, and SCOPA-AUT; EAT-10 scores were negatively correlated with MoCA ( r=-0.171, P<0.05); and GCSI scores were negatively correlated with MMSE and MoCA ( r=-0.154, r=-0.169, both P<0.05). Conclusions:Overall, 84.5% of the patients with PD had one or more gastrointestinal symptoms, and the incidence and severity of gastrointestinal symptoms increased with disease duration. The severity of gastroparesis was higher in the PIGD group than in the TD group. The scores of all gastrointestinal symptoms were positively correlated with the H-Y stage and MDS-UPDRS Ⅰ, while the GCSI scores were negatively correlated with the cognitive scores.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective: To explore the changes in ribosomal DNA copy number in peripheral blood among patients with pneumoconiosis and its influencing factors, so as to provide insights into prevention and treatment of pneumoconiosis. Methods: Eighty-eight patients with pneumoconiosis who visited a designated hospital and 71 community residents with no history of pneumoconiosis or dust exposure were selected as the pneumoconiosis group and control group, and age, smoking history, drinking history and cumulative years of exposure to dust were collected through questionnaire surveys. The copy number of 45S rDNA and 5S rDNA was detected using real-time fluorescence quantitative PCR, and the differences between the two groups were compared. Factors affecting the copy number of 45S rDNA and 5S rDNA were identified by a multiple linear regression model. Results: The pneumoconiosis group had a median age of 56.00 (interquartile range, 15.25) and a mean cumulative dust exposure duration of (12.40±8.08) years, with 56.82% smoking and 62.50% drinking. The control group had a median age of 64.00 (interquartile range, 37.00) years, with 32.39% smoking and 26.76% drinking. The median copy number of 45S rDNA in the pneumoconiosis group was 1.29 (interquartile range, 0.59), which was lower than 2.10 (interquartile range, 1.88) in the control group; the median copy number of 5S rDNA in the pneumoconiosis group was 5.33 (interquartile range, 0.85), which was higher than 4.66 (1.34) in the control group (both P<0.05). Multiple linear regression analysis identified age (β=-0.034) and pneumoconiosis (β=-1.595) as factors affecting 45S rDNA copy number, age (β=-0.013) as a factor affecting 5S rDNA copy number, and age (β=0.018) as a factor affecting 5S rDNA copy number in the pneumoconiosis group (all P<0.05). Conclusions Compared with community residents with no history of pneumoconiosis or dust exposure, the copy number of 45S rDNA in peripheral blood among patients with pneumoconiosis is reduced and the copy number of 5S rDNA is increased.

Objective To analyze the relationship between expression level of protein O-fucosyltransferase 1(POFUT1)and tumor immune infiltration level and prognosis of patients,and explore the value of POFUT1 in tumor immunotherapy.Methods Based on the pan-cancer data,R software was used to analyze the changes in POFUT1 expression levels of various tumor tissues and their correlation with the risk ratio of various tumor patients,and screen for tumor types related to patient prognosis and POFUT1 expression.Through the String database,a protein interaction network was constructed,POFUT1-associated genes were screened,and functional enrichment analysis was performed.The estimate software package was used to analyze the correlation between POFUT1 expression and immune infiltration score in selected tumor tissues.The TIMER database was used to analyze the correlation between the expression level of POFUT1 and various levels of immune cell infiltration,and the correlation between the infiltration level of immune cells and the prognosis of patients.Results The expression levels of POFUT1 were significantly high in 14 types of tumors(P<0.05),and were associated with poor prognosis of low-grade gliomas,lung adenocarcinoma,and thyroid cancer(Hazard Ratio>1,P<0.05).POFUT1 and its associated genes were highly involved in Notch signaling pathway,lymphocyte activation and immune regulation processes.The expression level of POFUT1 was positively correlated with the infiltration degree of B cells,CD8+T cells,CD4+T cells,macrophages,neutrophils and dendritic cells in low-grade gliomas,as well as positively associated with the infiltration level of neutrophils in LUAD,and B cells,CD4+ T cells and macrophages in thyroid cancer(|r|>0.2,P<0.05).The high infiltration levels of the above 6 types of immune cells were correlated with the poor prognosis of patients with low-grade glioma(Hazard Ratio>1,P<0.05).Conclusion POFUT1 was highly involved in the process of immune regulation,affecting the immune infiltration level of some tumors and further influencing patient prognosis.It may have the potential to become a target for tumor immunotherapy.