Objective: To explore the network structure of middle school students basic psychological needs and psychological behavioral problems, and identify the core nodes within the network, as well as examine demographic subgroup differences, so as to provide support for targeted mental health interventions for adolescents. Methods: In September and October of 2023, a total of 2 000 junior and senior high school students were selected with multistage cluster random sampling from 8 schools in Jiaojiang District and Tiantai County, Taizhou City. An online self administered questionnaire was used to assess emotional and behavioral problems, perceived autonomy, self awareness, loneliness, and social support. The instruments included the Strengths and Difficulties Questionnaire (SDQ), Perceived Choice and Awareness of Self Scale (PCASS), Mental Health Literacy Questionnaire (MHLQ), University of California,Los Angeles Loneliness Scale (UCLA-LS), and the Multidimensional Scale of Perceived Social Support (MSPSS). A network analysis approach was employed to construct a network representing adolescents basic psychological needs and psychological behavioral problems, focusing on centrality measures and demographic subgroup differences. Results: A total of 418 students (20.9%) reported abnormal emotional and behavioral problems. Perceived autonomy and competence were negatively correlated with emotional problems (weights: 0.12, 0.14) and hyperactivity (weights: 0.10, 0.16). Social support showed negative correlation with peer relationship issues, hyperactivity, and conduct problems (weights: 0.16, 0.13, 0.10). Loneliness was positively correlated with emotional symptoms and peer relationship problems (weights: 0.28, 0.18). In the overall network, perceived relationships (social support and loneliness), emotional symptoms, and hyperactivity emerged as central nodes. Significant differences in network structure were observed between gender subgroups ( P =0.02). Girls internalizing issues were more influenced by loneliness and perceived autonomy frustration, while social support exhibited higher centrality in boys. Conclusions Perceived relationships, emotional problems, and hyperactivity are key nodes in the network of adolescents basic psychological needs and psychological behavioral problems. Loneliness demonstrates a prominent influence within the network, and the overall network exhibits gender differences.

Thermal ablation (TA) is a widely applied minimally invasive treatment for benign thyroid nodules and low-risk papillary thyroid microcarcinoma. Compared to conventional surgery, TA offers advantages such as minimal trauma, rapid recovery, and no scarring. However, this procedure may lead to various complications, including intraoperative pain, nerve injury, hemorrhage, tracheal injury, skin burns, vasovagal reactions, nodule rupture, and thyroid dysfunction. Although TA demonstrates excellent safety and efficacy, further standardization of procedural protocols is necessary to minimize the incidence of complications.

Objective:To evaluate the predictive role of ultrasound, genetic testing, and clinical features in the malignancy risk of Bethesda Ⅲ thyroid nodules, and to explore strategies for optimizing treatment decisions.Methods:This retrospective study included 227 Bethesda Ⅲ thyroid nodules from patients who underwent surgical treatment at the Thyroid Surgery Department of Nanjing Drum Tower Hospital between Jan. 2020 and Dec. 2023. All patients underwent ultrasound evaluation and fine-needle aspiration. For nodules diagnosed as ultrasound, genetic testing, and clinical features were analyzed using univariate and multivariate regression to assess their association with malignancy.Results:Among the 227 nodules, 214 were malignant, resulting in a malignancy rate of 94.2%. The malignancy rate of thyroid nodules was 94.2%. In univariate analysis, age ( P=0.016), BRAF V600E gene mutation ( P<0.001), nodule size ( P=0.002), and TIRADS ( P<0.001) were significantly associated with malignancy in Bethesda Ⅲ thyroid nodules. Multivariate analysis confirmed that age ( OR=0.939, P=0.049) and BRAF V600E gene mutation ( OR=24.641, P<0.001) were significantly associated with thyroid nodule nature and served as independent predictive factors for malignancy. Conclusions:Genetic testing is an important method for predicting the malignancy of Bethesda Ⅲ thyroid nodules, and ultrasound also has high clinical value in assessing the malignancy risk of nodules. While some clinical features are highly correlated with nodule characteristics, they may not be practical in clinical application. For nodules classified as TIRADS 3 through ultrasound evaluation and negative for BRAF mutations, continued observation may be considered, whereas TIRADS 5 nodules or nodules with BRAF mutations should be prioritized for surgical treatment.

Objective:To investigate the occurrence of work-related musculoskeletal disorders (WMSDs) among underground coal mine workers, identify the risk factors for WMSDs, and provide a scientific evidence for the prevention and treatment of WMSDs.Methods:In March 2024, through cluster sampling, the on-the-job workers who underwent questionnaire surveys and health examinations at a certain coal mine from July to August 2018 were selected as the research subjects. Basic information of employees, ergonomics-related characteristics, and the occurrence status of WMSDs in each part were collected, and multivariate logistic regression was used for analysis.Results:The incidence rate of WMSDs in at least one site among underground coal mine workers within the past year was 62.22% (219/352). The top three sites in sequence were the lower back (44.32%, 156/352), neck (26.14%, 92/352), and knee (26.14%, 92/352). Multivariate logistic regression analysis showed that frequently exerting great force with arms or hands during work ( OR=2.223, 95% CI: 1.022-4.836), prolonged static forward bending ( OR=1.544, 95% CI: 1.305-1.972), and frequently exerting great effort to operate tools or machines ( OR=2.206, 95% CI: 1.011-4.813), absence of external support systems ( OR=1.589, 95% CI: 1.349-1.996), and repetitive full-body twisting ( OR=1.523, 95% CI: 1.298-1.916) were all risk factors for the occurrence of WMSDs in the lower back ( P<0.05). Both night shift work ( OR=1.564, 95% CI: 1.339-1.939) and frequent forward neck flexion ( OR=1.532, 95% CI: 1.312-1.907) were all risk factors for the occurrence of WMSDs in the neck ( P<0.05). Lifting heavy objects above the shoulder ( OR=1.333, 95% CI: 1.142-1.782), uncomfortable posture and inability to exert force ( OR=1.873, 95% CI: 1.104-2.712), the use of vibration tools ( OR=2.958, 95% CI: 1.255-6.972), and length of service >10 years ( OR=1.525, 95% CI: 1.105-1.967) were all risk factors for the occurrence of WMSDs in the knee ( P<0.05) . Conclusion:The incidence of WMSDs among underground coal miners is relatively high, mainly concentrated in the lower back, neck and knee, and is related to factors such as poor working postures, and work organization. Coal mining enterprises should strengthen work organization, provide appropriate working equipment, and ensure reasonable distribution of workloads.

This article briefly introduces the new concept of burnout and the new burnout assessment tool BAT. In the past, the most famous burnout definition was proposed by Maslach and Leiter. The Maslach Burnout Inventory (MBI) developed by Maslach has also been the gold standard for evaluating burnout. With the development of burnout research, the concept of burnout has a certain defect. MBI has also been criticized in conceptual, practical and psychological measurement. It may hinder new research, and urgently needs to improve the concept and evaluation of burnout. Therefore, Schaufeli redefined the concept of burnout, and developed a new burnout assessment tool for groups and individuals based on the new concept of burnout-Burnout Assessment Tool (BAT) . This paper systematically reviews the proposal of the new concept of burnout, the development of the BAT scale and its application at home and abroad, and analyzes the advantages and application prospects of the BAT scale.

Objective:To identify risk factors influencing the incidence of hypertension among steelworkers (Homo sapiens) and establish an effective and easily implementable hypertension prediction model.Methods:In September 2023, 2214 steelworkers (Homo sapiens) were selected as study subjects. Basic demographic information, lifestyle, and occupational exposure data were collected, along with physiological measurements such as height, weight, and blood pressure. Multivariate unconditional logistic regression analysis was employed based on relevant literature to determine influencing factors for hypertension among steelworkers (Homo sapiens). Python 3.9 software was used to construct and compare logistic regression, support vector machine (SVM), random forest, extreme gradient boosting tree (XGBoost), and LGBM models. Model performance was evaluated using metrics such as receiver operating characteristic (ROC) curves, accuracy, calibration curves, and F1 scores. The Shapley Additive Explanations (SHAP) model was introduced for feature importance analysis to enhance the interpretability of the prediction model.Results:A total of 432 cases of hypertension were detected among 2214 study subjects, with a detection rate of 19.51%. Age, smoking status, salt intake, use of cooling equipment, carbon monoxide exposure, family history of hypertension, fasting blood glucose, triglycerides, and hemoglobin were identified as independent risk factors for hypertension ( P<0.05). A comparison of the five models revealed the following performance metrics: logistic regression achieved an accuracy of 0.853, F1 score of 0.680, Brier score of 0.108, and AUC of 0.907; SVM demonstrated an accuracy of 0.863, F1 score of 0.687, Brier score of 0.081, and AUC of 0.910; random forest showed an accuracy of 0.857, F1 score of 0.603, Brier score of 0.105, and AUC of 0.861; XGBoost yielded an accuracy of 0.850, F1 score of 0.684, Brier score of 0.117, and AUC of 0.899; and the LGBM model exhibited an accuracy of 0.838, F1 score of 0.625, Brier score of 0.112, and AUC of 0.870. Conclusion:The SVM model demonstrated strong predictive performance, effectively assessing the risk of hypertension among steelworkers (Homo sapiens) and facilitating targeted health management interventions.

Objective:To verify the reliability and validity of the short version of the Chinese version of the new Burnout Assessment Tool (12 items version of Burnout Assessment Tool, BAT-12) .Methods:From October to December 2023, the cluster sampling method was adopted, and the Chinese version of the Maslach Burnout Inventory-General Survey (MBI-GS) and the BAT-12 scale were used simultaneously. A questionnaire survey was conducted among enterprise employees (4329 people) in Shanghai and Guangdong Province. Exploratory factor analysis and confirmatory factor analysis and other methods were employed to analyze its reliability (internal consistency reliability and combination reliability) and validity (structural validity, convergent validity, discriminative validity and criterion validity) .Results:A total of 4329 questionnaires were retrieved, among which 4086 were valid, with an effective recovery rate of 94.39%. The Cronbach's α coefficient of the Chinese version of the BAT-12 total scale was 0.956, and the combination reliability coefficients of each dimension ranged from 0.914 to 0.952. The scale contained 12 items, and 4 common factors were extracted from exploratory factor analysis, including exhaustion, mental distance, cognitive impairment, and emotional impairment. The cumulative variance contribution rate reached 86.63%. Confirmatory factor analysis showed that both the four-factor correlation model and the second-order model were ideally fitted overall, with the four-factor correlation model having the best data fit (comparative fit index 0.972, Tuker-Lewis fit index 0.962, root mean square error of approximation 0.064, and standardized root mean square residual 0.033). The average variance extracted (AVE) of each dimension of the scale ranged from 0.780 to 0.868, and the square roots of AVE (0.883 to 0.932) were all greater than their Pearson correlation coefficients (0.630 to 0.850). The Pearson correlation coefficient between BAT-12 and MBI-GS was 0.787 ( P<0.001) . Conclusion:The Chinese version of the BAT-12 scale demonstrates strong internal consistency and combination reliability, with excellent reliability. Its four-dimensional structure validity has been validated, with good convergent validity, discriminative validity, and ideal criterion validity, demonstrating excellent validity. The Chinese version of the BAT-12 scale can be used to measure the level of occupational burnout among Chinese employees.

Objective:To investigate the occurrence of work-related musculoskeletal disorders (WMSDs) among underground coal mine workers, identify the risk factors for WMSDs, and provide a scientific evidence for the prevention and treatment of WMSDs.Methods:In March 2024, through cluster sampling, the on-the-job workers who underwent questionnaire surveys and health examinations at a certain coal mine from July to August 2018 were selected as the research subjects. Basic information of employees, ergonomics-related characteristics, and the occurrence status of WMSDs in each part were collected, and multivariate logistic regression was used for analysis.Results:The incidence rate of WMSDs in at least one site among underground coal mine workers within the past year was 62.22% (219/352). The top three sites in sequence were the lower back (44.32%, 156/352), neck (26.14%, 92/352), and knee (26.14%, 92/352). Multivariate logistic regression analysis showed that frequently exerting great force with arms or hands during work ( OR=2.223, 95% CI: 1.022-4.836), prolonged static forward bending ( OR=1.544, 95% CI: 1.305-1.972), and frequently exerting great effort to operate tools or machines ( OR=2.206, 95% CI: 1.011-4.813), absence of external support systems ( OR=1.589, 95% CI: 1.349-1.996), and repetitive full-body twisting ( OR=1.523, 95% CI: 1.298-1.916) were all risk factors for the occurrence of WMSDs in the lower back ( P<0.05). Both night shift work ( OR=1.564, 95% CI: 1.339-1.939) and frequent forward neck flexion ( OR=1.532, 95% CI: 1.312-1.907) were all risk factors for the occurrence of WMSDs in the neck ( P<0.05). Lifting heavy objects above the shoulder ( OR=1.333, 95% CI: 1.142-1.782), uncomfortable posture and inability to exert force ( OR=1.873, 95% CI: 1.104-2.712), the use of vibration tools ( OR=2.958, 95% CI: 1.255-6.972), and length of service >10 years ( OR=1.525, 95% CI: 1.105-1.967) were all risk factors for the occurrence of WMSDs in the knee ( P<0.05) . Conclusion:The incidence of WMSDs among underground coal miners is relatively high, mainly concentrated in the lower back, neck and knee, and is related to factors such as poor working postures, and work organization. Coal mining enterprises should strengthen work organization, provide appropriate working equipment, and ensure reasonable distribution of workloads.

This article briefly introduces the new concept of burnout and the new burnout assessment tool BAT. In the past, the most famous burnout definition was proposed by Maslach and Leiter. The Maslach Burnout Inventory (MBI) developed by Maslach has also been the gold standard for evaluating burnout. With the development of burnout research, the concept of burnout has a certain defect. MBI has also been criticized in conceptual, practical and psychological measurement. It may hinder new research, and urgently needs to improve the concept and evaluation of burnout. Therefore, Schaufeli redefined the concept of burnout, and developed a new burnout assessment tool for groups and individuals based on the new concept of burnout-Burnout Assessment Tool (BAT) . This paper systematically reviews the proposal of the new concept of burnout, the development of the BAT scale and its application at home and abroad, and analyzes the advantages and application prospects of the BAT scale.

Objective:To identify risk factors influencing the incidence of hypertension among steelworkers (Homo sapiens) and establish an effective and easily implementable hypertension prediction model.Methods:In September 2023, 2214 steelworkers (Homo sapiens) were selected as study subjects. Basic demographic information, lifestyle, and occupational exposure data were collected, along with physiological measurements such as height, weight, and blood pressure. Multivariate unconditional logistic regression analysis was employed based on relevant literature to determine influencing factors for hypertension among steelworkers (Homo sapiens). Python 3.9 software was used to construct and compare logistic regression, support vector machine (SVM), random forest, extreme gradient boosting tree (XGBoost), and LGBM models. Model performance was evaluated using metrics such as receiver operating characteristic (ROC) curves, accuracy, calibration curves, and F1 scores. The Shapley Additive Explanations (SHAP) model was introduced for feature importance analysis to enhance the interpretability of the prediction model.Results:A total of 432 cases of hypertension were detected among 2214 study subjects, with a detection rate of 19.51%. Age, smoking status, salt intake, use of cooling equipment, carbon monoxide exposure, family history of hypertension, fasting blood glucose, triglycerides, and hemoglobin were identified as independent risk factors for hypertension ( P<0.05). A comparison of the five models revealed the following performance metrics: logistic regression achieved an accuracy of 0.853, F1 score of 0.680, Brier score of 0.108, and AUC of 0.907; SVM demonstrated an accuracy of 0.863, F1 score of 0.687, Brier score of 0.081, and AUC of 0.910; random forest showed an accuracy of 0.857, F1 score of 0.603, Brier score of 0.105, and AUC of 0.861; XGBoost yielded an accuracy of 0.850, F1 score of 0.684, Brier score of 0.117, and AUC of 0.899; and the LGBM model exhibited an accuracy of 0.838, F1 score of 0.625, Brier score of 0.112, and AUC of 0.870. Conclusion:The SVM model demonstrated strong predictive performance, effectively assessing the risk of hypertension among steelworkers (Homo sapiens) and facilitating targeted health management interventions.