Objective To assess the current state and influencing factors of multi-site work-related musculoskeletal disorders (WMSDs) among front-line employees in the assembly workshop of an automobile manufacturing enterprise. Methods A total of 394 front-line workers in the assembly workshop of an automobile manufacturing enterprise in Beijing City were selected as the research subjects using the judgmental sampling method. The Chinese version Musculoskeletal Disorders Questionnaire was used to assess the presence of WMSDs over the past 12 months in nine body regions: neck, shoulders, upper back, lower back, elbows, wrists, hips and thighs, knees, ankles and feet. The multivariable logistic regression was employed to investigate the influencing factors. Results The detection rate of overall WMSDs was 32.7% (129/394), with the top three single-site WMSDs being in the neck, shoulders, and lower back, and their detection rates were 14.0%, 12.7% and 9.6%, respectively. The detection rate of multi-site WMSDs was 17.8% (70/394). The result of multivariable logistic regression analysis revealed that workers who turned or bent their upper body while keeping their legs stationary, frequently performed wrist flexion/extension/lateral bending/rotation, or stood for prolonged period of time had significantly higher risks of developing multi-site WMSDs compared with those who did not (all P<0.05). Workers who perceived uncomfortable workplace lighting had higher risk of multi-site WMSDs than those who perceived it as comfortable (P<0.01). Conclusion The development of multi-site WMSDs among workers in the assembly workshop of this automobile manufacturing enterprise is strongly related to poor working postures at work.

Background During urbanization, the passenger load on urban public transport systems continues to increase, exposing bus drivers to a high risk of musculoskeletal disorders (MSDs). This occupational health issue may also potentially compromise public transport safety. Objective To investigate the prevalence of MSDs among bus drivers in a first-tier city and to explore associated influencing factors. Methods A self-administered questionnaire survey was conducted from December 2024 to March 2025 among 1300 bus drivers in a bus company. Data were collected on general demographic information, occupational activities, and MSDs indicators. A total of 1268 valid questionnaires were returned, yielding a response rate of 97.5%. Descriptive statistics were used to analyze the distribution characteristics of MSDs. Pearson χ² tests were employed to examine the association between MSDs prevalence and individual/occupational characteristics. Logistic regression was performed to identify the influencing factors of MSDs. Results The survey revealed that the prevalence of MSDs among the bus drivers was 28.5%, with the highest prevalence in the 41–50 years age group (30.5%). The conditions primarily affected the cervical spine (60.5%) and lumbar spine (61.9%), with some cases involving multiple sites. The logistic regression model indicated that the following factors were associated with a higher risk of MSDs: frequent smoking (OR=1.477), poor or moderate self-reported health status (OR=4.422), 11–20 years of service (OR=1.749), daily cumulative driving time ≥361 min (OR=1.616), frequent whole-body fatigue during driving (OR=2.077), occasional whole-body fatigue during driving (OR=1.873), feeling tense during driving (OR=1.518), fatigue after work (OR=2.485), work-related stress (OR=1.882), and prolonged smartphone use with head-down posture (OR=1.671). Conversely, occasional exercise (OR=0.713)/frequent exercise (OR=0.569), driving intervals ≥21 min per round (OR=0.645), and perceiving the driving seat comfortable (OR=0.429) were associated with a lower risk of MSDs. Conclusion Physical exercise, smoking, years of service, daily cumulative driving time, driving intervals per round, prolonged smartphone use with head-down posture, self-reported health status, and psychological factors such as work-related stress are influencing factors for MSDs among bus drivers. Drivers should increase physical exercise and change unhealthy living habits. Employers should optimize working conditions, arrange reasonable driving schedules, and foster a positive work environment to reduce MSDs prevalence.

ObjectiveTo clarify the graded quantitative diagnostic characteristics of lung qi deficiency syndrome in chronic obstructive pulmonary disease （COPD） based on latent class analysis combined with a hidden structure model. MethodsClinical data， including the four diagnostic methods of traditional Chinese medicine （TCM）， were collected from 745 COPD patients with lung qi deficiency syndrome. Latent class modeling was performed using R 4.1.2 software， and each patient was classified into one of three severity categories （mild， moderate， or severe） based on probabilistic parameterization， parameter estimation， and model fitting. A database was established for different severity levels of lung qi deficiency syndrome. Based on this， Lantern 5.0 software was used to construct hidden structure models for mild， moderate， and severe lung qi deficiency syndrome， and syndrome differentiation rules were developed through comprehensive clustering. ResultsA latent class model was constructed using 28 symptoms and signs with a frequency greater than 10%. Considering TCM theory and model simplicity， the optimal model was determined when the number of latent classes was three， categorizing lung qi deficiency syndrome into mild （298 cases）， moderate （164 cases）， and severe （283 cases）. Hidden structure models were separately developed for each severity level， and syndrome differentiation rules were established. A comparison of common symptoms in the syndrome differentiation rules for mild and moderate lung qi deficiency syndrome showed no statistically significant differences in diagnostic values and weights （P＞0.05）， leading to their combined analysis and the development of a unified syndrome differentiation rule. Value and weight of quantitative diagnosis of mild-to-moderate lung qi deficiency syndrome were as followed： shortness of breath （diagnostic value 9.3， diagnostic weight 86.92%）， dyspnea on exertion （8.2， 76.64%）， low voice and reluctance to speak （6.7， 62.62%）， poor appetite （4.0， 37.38%）， loose stools （4.0， 37.38%）， weak cough sound （2.9， 27.10%）， wheezing （2.3， 21.50%）， fatigue （1.8， 16.82%）， spontaneous sweating （1.7， 15.89%）， susceptibility to colds （1.6， 14.95%）， swollen tongue （1.4， 13.08%）， teeth marks on the tongue edge （1.2， 11.21%）， deep pulse （1.6， 14.95%）， with a diagnostic threshold of 10.3. Value and weight of quantitative diagnosis of severe lung qi deficiency syndrome were as followed： weak cough sound （15.1， 61.13%）， soreness and weakness of the waist and knees （12.6， 51.01%）， shortness of breath （11.1， 44.94%）， low voice and reluctance to speak （8.3， 33.60%）， frequent nocturia （6.1， 24.70%）， spontaneous sweating （3.7， 14.98%）， susceptibility to colds （3.5， 14.17%）， teeth marks on the tongue edge （7.8， 31.58%）， pale tongue body （1.9， 7.69%）， white tongue coating （5.5， 22.27%）， thin pulse （1.5， 6.07%）， with a diagnostic threshold of 23.7. ConclusionThe combination of latent class analysis and a hideen structure model effectively clarified the graded quantitative diagnostic characteristics of lung qi deficiency syndrome， providing a reference for the quantitative diagnosis of other fundamental syndromes in TCM.

Objective To explore the short-term prognosis and risk factors for in-hospital mortality in patients with fulminant myocarditis induced refractory cardiogenic shock(FM-RCS)receiving veno-arterial extracorporeal membrane oxygenation(VA-ECMO)treatment,and to construct an early prognosis prediction model using relevant indicators.Methods A total of 61 FM-RCS patients treatment by VA-ECMO in the department of intensive care unit of the Second Affiliated Hospital of Zhengzhou University from January 2017 to February 2024,excluding 15 cases with age less than 18 years and 3 cases with ECMO treatment duration less than 24 hours,a total of 43 patients were finally included.Participants were stratified into survival(n=19)and mortality(n=24)groups according to discharge outcomes.Demographic data,chronic disease history,early laboratory indicators,left ventricular function indicators,and basic reference values of hemodynamics were systematically compared between the two groups.Variable selection was performed using LASSO regression,followed by multivariate COX regression analysis to screen independent risk factors for in-hospital mortality in ECMO-treatment FM-RCS patients.A nomogram prediction model was subsequently developed using R software and validated through calibration curves,concordance index(C-index),and receiver operator characteristic curve(ROC curve)analysis.Results The overall survival rate of the 43 enrolled patients was 44.2%,with 19 cases in the survival group and 24 cases in the mortality group.In early laboratory indicators,the survival group exhibited significantly lower levels of initial lactic acid(Lac),24-hour Lac(Lac 24 h),24-hour MB isoenzyme of creatine kinase(CK-MB 24 h),24-hour cardiac troponin T(cTnT 24 h),24-hour total bilirubin(TBil 24 h),24-hour serum creatinine(SCr 24 h),and lactate albumin ratio(LAR)compared to the mortality group[initial Lac(mmol/L):2.7(1.3,7.6)vs.9.2(5.9,14.0),Lac 24 h(mmol/L):2.4(2.0,3.6)vs.5.4(3.3,9.2),CK-MB 24 h(U/L):58.0(28.0,115.0)vs.167.7(68.5,280.3),cTnT 24 h(μg/L):0.53(0.37,2.41)vs.3.92(3.10,8.86),TBil 24h(μmol/L):18.3(9.9,37.8)vs.40.2(24.6,67.0),SCr 24 h(μmol/L):90.63±42.49 vs.177.76±70.76,LAR:0.09(0.04,0.23)vs.0.31(0.20,0.38),all P<0.05],serum albumin(Alb)levels were significantly higher in the survival group[g/L:36.0(31.9,39.2)vs.31.7(26.4,34.4),P<0.05].The mortality group had a higher incidence of malignant arrhythmias[66.7%(16/24)vs.31.6%(6/19),P<0.05].The LASSO regression model identified four non-zero coefficient variables-Lac 24 h,CK-MB 24 h,cTnT 24 h,and SCr 24 h-which were included in the subsequent multivariate COX regression analysis.The results demonstrated that Lac 24 h[hazard ratio(HR)and 95%confidence interval(95%CI)was 1.186(1.074-1.310),P<0.001]and cTnT 24 h(HR=1.230,95%CIwas 1.078-1.404,P=0.002)were independent risk factors for in-hospital mortality in VA-ECMO treatment FM-RCS patients.A predictive model constructed using these two indicators showed a C-index of 0.812,area under the curve(AUC)=0.941,with 91.7%sensitivity and 94.7%specificity.Furthermore,compared to the survival group,the mortality group exhibited significantly higher incidences of acute kidney injury[91.7%(22/24)vs.36.8%(7/19)]and hypoxic-ischemic encephalopathy[62.5%(15/24)vs.10.5%(2/19),both P<0.05].The mortality group also required greater transfusion volumes[mL:3 800(1 420,8 515)vs.1 200(400,3 020),P<0.05],but had shorter total hospitalization durations[days:7(3,13)vs.23(20,44),P<0.05].Conclusion For FM-RCS patients receiving VA-ECMO treatment,Lac 24 h and cTnT 24 h after ECMO initiation are independent predictors of in-hospital mortality.Clinicians should be vigilant about poor prognosis in FM-RCS patients with high Lac 24 h hours(>2.5 mmol/L)and cTnT 24 hours(>3.01 μg/L)after ECMO treatment.

Objective:To analyze the distribution of allergen components of dust mite in children with airway allergic diseases.Methods:This was a cross-sectional study. The clinical data of children with dust mite-induced allergic asthma (AA) complicated with allergic rhinitis (AR) or allergic rhinitis who were treated in Department of Allergy,Beijing Children′s Hospital from January 2019 to October 2022 were retrospectively analyzed. The spedific IgE (sIgE) levels to Der p1,Der p2,Der p5,Der p7,Der p10,Der p21,Der p23 and Der f1,Der f2 were detected by protein chip method. The distribution of dust mite sensitized components and the sIgE levels in children with different airway allergic diseases and different ages were compared.Results:Among 138 children with airway allergic diseases,there were 97 boys and 41 girls,age (6.86±2.61) years old,and there were 106 cases of AA combined AR (AAAR group) and 32 cases of AR alone (AR group). The sensitization rates of Der p2 was the highest (75.4%,104/138),followed by Der f2 (74.6%,103/138),Der f1 (73.9%,102/138),Der p1 (71.7%,99/138),Der p21 (19.6%,27/138),Der p5 (16.7%,23/138),Der p23 (14.5%,20/138),Der p7 (11.6%,16/138) and Der p10 (2.9%,4/138). The co-sensitization rate of Der p1,Der p2,Der f1 and Der f2 was the highest (31.2%,43/138). There was no significant difference in sensitization rate of dust mites components between AAAR group and AR group(all P>0.05). AAAR group had higher levels of sIgE to Der p23 than AR group [0.1 (0,0.1) IU/ml vs. 0 (0,0.1) IU/ml,Z=-2.819, P=0.005]. There were no significant differences in the positive rate of dust mite components and sIgE levels between children aged≤6 and>6 years old with airway allergic diseases(all P>0.05). Conclusions:Der p1,Der p2,Der f1 and Der f2 are the major components of dust mites sensitizing airway allergic diseases in children. Der p1,Der p2,Der f1 and Der f2 are the main co-sensitizing components in children with dust mite-induced airway allergic diseases. Compared with AR,the sIgE level to Der p23 in children with AAAR is higher.

Objective:To construct a diagnostic prediction model for childhood asthma and conduct a preliminary evaluation based on the test results of specific IgE (sIgE) for airborne allergens and in combination with clinical data.Methods:This study is a case-control study. A total of 4 338 cases that completed the sIgE test for airborne allergens in the Allergy Department of Beijing Children′s Hospital Affiliated to Capital Medical University from January to December 2023 were selected as the research subjects. They were divided into the asthma group and the non-asthma group based on the diagnostic information. Age, gender, cough and wheezing symptoms, and the classification results of sIgE concentrations of 15 airborne allergens were collected as the predictor variables of the asthma diagnostic prediction model. Differential analysis and LASSO regression were employed for the screening of predictor variables. The multivariate logistic regression method was applied to construct the nomogram prediction model. The data set was randomly split at a ratio of 7∶3 into a training set (3 036 cases) for constructing the prediction model and a validation set (1 302 cases) for testing the predictive efficacy of the model. The area under the receiver operating characteristic (ROC) curve (AUC), the Hosmer-Lemeshow calibration curve were utilized to assess the discrimination and goodness of fit of the model, and the clinical decision curve (DCA) was adopted to evaluate the clinical application value of the model.Results:Among 4 338 pediatric cases, children aged 0 to <3 years accounted for 10.17% (441 cases), those aged 3 to <6 years accounted for 36.49% (1 583 cases), those aged 6 to <12 years accounted for 46.98% (2 038 cases), and those aged 12 to 18 years accounted for 6.36% (276 cases). Males constituted 65.17% (2 827 cases), and females 34.83% (1 511 cases). The proportion of children without wheezing symptoms was 41.47% (1 799 cases), while those with wheezing symptoms was 58.53% (2 539 cases). The asthma group accounted for 41.77% (1 812 cases), and the non-asthma group for 58.23% (2 526 cases). Statistically significant differences were observed between the asthma group and the non-asthma group in 18 predictive variables including age, gender, wheezing symptoms, d1, d2, e1, e5, g2, g6, m6, t11, t3, t6, w1, w22, w6, wx5, and m3 ( P<0.05). LASSO regression analysis identified six predictor variables: age (calculated in months), cough and wheezing symptoms, and sIgE of four airborne allergens, namely, Dermatophagoides pteronyssinus (d1), Canis familiaris dander (e5), Aspergillus fumigatus (m3), and Artemisia vulgaris pollen (w6).Multifactorial regression analysis revealed that the contribution degrees of the above-mentioned predictor variables to the asthma diagnosis prediction model were ranked as follows: cough and wheezing symptoms ( OR=24.37, P<0.001), m3 ( OR=1.34, P<0.001), d1 ( OR=1.22, P<0.001), e5 ( OR=1.12, P=0.028), w6 ( OR=1.11, P<0.001), and age ( OR=1.01, P<0.001).The AUCs of the nomogram prediction model for the training set and the validation set were 0.853 (95% CI: 0.840-0.866) and 0.838 (95% CI: 0.817-0.860), respectively. The Hosmer-Lemeshow calibration curve indicated a good fit ( P=0.215 for the training set; P=0.352 for the validation set). The DCA of the validation set demonstrated that when the probability threshold for predicting the occurrence of childhood asthma was 8%-92%, the model had the best applicability. Conclusion:By combining age, cough and wheezing symptoms, and sIgE of the four airborne allergens (d1, e5, m3, and w6) selected from 15 airborne allergens, a childhood asthma diagnosis prediction model with good predictive performance and clinical practicability was constructed. It can serve as a simple and convenient tool for accurately identifying asthma and provides a practical basis for the application of artificial intelligence big data analysis models in the prevention, treatment, and management of childhood asthma.

Objective:To explore the application of the O-PIRTAS flipped classroom in teaching the course of "developmental psychology".Methods:This study involved second-year undergraduate students majoring in clinical psychology. The 26 undergraduate students enrolled in 2023 who participated in the late adulthood section of the course were selected as the experimental group (O-PIRTAS teaching), while the 25 undergraduate enrolled in 2022 in the same course were selected as the control group (traditional teaching). Assessments were conducted through closed-book tests and questionnaires. The student questionnaire evaluated their theoretical knowledge, class assessment, and class engagement. The teacher questionnaire assessed the completeness of the lecture, logical flow, and student engagement. SPSS 22.0 was used for t test. Results:In the theoretical examination, the experimental group showed significantly higher scores compared to the control group in knowledge application [(13.09±1.59) vs. (10.54±0.77)] and practical problem-solving ability [(8.27±0.57) vs. (6.95±0.32)]. In the questionnaire survey, 24 (92.00%) students in the experimental group expressed recognition of the flipped classroom mode. Teachers reported greater improvement in satisfaction with the classroom performance of the experimental group compared to the control group.Conclusions:O-PIRTAS flipped classroom improves the quality of teaching "developmental psychology", enhances student learning outcomes, and stimulates learning motivation.

Objective:To explore the differential diagnostic value of three gastric function indicators and Helicobacter pylori ( Hp) antibody combined detection in early gastric cancer and precancerous lesions. Methods:A total of 103 patients with gastric cancer (gastric cancer group), 103 patients with precancerous lesions (precancerous lesion group) and 103 healthy physical examination subjects (healthy group) admitted to the Emergency Management Department Emergency General Hospital from December 2020 to December 2022 were retrospectively selected as the study objects. Three gastric function tests and 14C breath test were performed in all three groups. The levels of three gastric function indicators and Hp antibody were compared among the three groups. According to the results of 14C breath test, gastric cancer patients were divided into the positive group and the negative group, and the levels of the three gastric function indicators were compared between the two groups. Results:The serum levels of pepsinogen Ⅱ (PGⅡ) and gastrin 17 (G-17) in the gastric cancer group were higher than those in the precancerous lesion group and healthy group: (18.32 ± 4.72) μg/L vs. (13.83 ± 3.63), (11.56 ± 3.47) μg/L; (74.82 ± 8.89) μg/L vs. (61.07 ± 7.51), (49.14 ± 5.29) μg/L; the levels of pepsinogen Ⅰ (PGⅠ) and pepsinogen ratio (PGR, PGⅠ/ PGⅡ) were lower than those in the precancerous lesion group and healthy group: (35.83 ± 5.93) μg/L vs. (73.05 ± 7.23), (86.27 ± 8.48) μg/L; 1.96 ± 0.54 vs. 5.28 ± 1.00, 7.46 ± 1.02, there were statistical differences ( P<0.05). The positive rates of Hp antibody in gastric cancer group, precancerous lesion group and healthy group were 65.05% (67/103), 33.01%(34/103) and 11.65% (12/103), respectively, there was a statistically significant difference in the positive rates of Hp antibody among the three groups ( χ2 = 64.15, P<0.05). The positive rate of Hp antibody was the highest in gastric cancer group, followed by precancer group, and the lowest in healthy group.The levels of PGⅠand PGR in patients with positive 14C breath test in the gastric cancer group were lower than those with negative results: (25.79 ± 3.63) μg/L vs. (41.82 ± 4.71) μg/L, 1.28 ± 0.42 vs. 2.40 ± 0.56, while the levels of PGⅡ and G-17 were higher than those with negative results: (20.35 ± 3.59) μg/L vs. (17.46 ± 3.52) μg/L, (83.72 ± 10.84) μg/L vs. (65.07 ± 7.76) μg/L, there were statistical differences ( P<0.05). Conclusions:The combined detection of gastric function and Hp antibody can serve as important screening indicator for evaluating gastric cancer and precancerous lesions.

Objective:To introduce the research and innovations around the application of aquatic rehabilitation techniques in the treatment of lumbago, and to summarize specific methods and applications in aeromedicine. Literature resource and selection Literature on the prevention and treatment of lumbago using aquatic rehabilitation techniques as well as on the rehabilitation of lumbago in pilots was retrieved and selected. Literature quotation Sixty-one references were cited. Literature synthesis Aquatic rehabilitation techniques can be classified into shower therapy, immersion therapy, and aquatic exercise therapy according to treatment regimens. Among them, immersion therapy and aquatic exercise therapy are commonly used in the treatment of lumbago. Aquatic rehabilitation techniques can effectively alleviate patients′ lumbago, improve their functional disorders, and enhance their quality of life. Prior to aquatic therapy, patients with lumbago need to have their motor function assessed to tailor the treatment protocol based on diagnostic findings and specific therapeutic objectives. Aquatic rehabilitation techniques, when used to prevent and treat lumbago in pilots under convalescence, are not only more effective than land-based training, but also more accessible to pilots due to their comfort and compliance. Many of our military rehabilitation and convalescent centers in China have integrated modern aquatic rehabilitation techniques into rehabilitation treatment by drawing on their rich water resources so as to improve the physical and mental health, social adaptability and military adaptability of pilots. Conclusions:When used for the prevention and treatment of lumbago, aquatic rehabilitation techniques are highly effective, safe and enjoyable, so they should be made more accessible to pilots during convalescence.

Background During urbanization, the passenger load on urban public transport systems continues to increase, exposing bus drivers to a high risk of musculoskeletal disorders (MSDs). This occupational health issue may also potentially compromise public transport safety. Objective To investigate the prevalence of MSDs among bus drivers in a first-tier city and to explore associated influencing factors. Methods A self-administered questionnaire survey was conducted from December 2024 to March 2025 among 1300 bus drivers in a bus company. Data were collected on general demographic information, occupational activities, and MSDs indicators. A total of 1268 valid questionnaires were returned, yielding a response rate of 97.5%. Descriptive statistics were used to analyze the distribution characteristics of MSDs. Pearson χ² tests were employed to examine the association between MSDs prevalence and individual/occupational characteristics. Logistic regression was performed to identify the influencing factors of MSDs. Results The survey revealed that the prevalence of MSDs among the bus drivers was 28.5%, with the highest prevalence in the 41–50 years age group (30.5%). The conditions primarily affected the cervical spine (60.5%) and lumbar spine (61.9%), with some cases involving multiple sites. The logistic regression model indicated that the following factors were associated with a higher risk of MSDs: frequent smoking (OR=1.477), poor or moderate self-reported health status (OR=4.422), 11–20 years of service (OR=1.749), daily cumulative driving time ≥361 min (OR=1.616), frequent whole-body fatigue during driving (OR=2.077), occasional whole-body fatigue during driving (OR=1.873), feeling tense during driving (OR=1.518), fatigue after work (OR=2.485), work-related stress (OR=1.882), and prolonged smartphone use with head-down posture (OR=1.671). Conversely, occasional exercise (OR=0.713)/frequent exercise (OR=0.569), driving intervals ≥21 min per round (OR=0.645), and perceiving the driving seat comfortable (OR=0.429) were associated with a lower risk of MSDs. Conclusion Physical exercise, smoking, years of service, daily cumulative driving time, driving intervals per round, prolonged smartphone use with head-down posture, self-reported health status, and psychological factors such as work-related stress are influencing factors for MSDs among bus drivers. Drivers should increase physical exercise and change unhealthy living habits. Employers should optimize working conditions, arrange reasonable driving schedules, and foster a positive work environment to reduce MSDs prevalence.