Objective: To analyze the temporal variation patterns of sickness absenteeism among primary and secondary school students in Shanghai, so as to explore models suitable for predicting peaks and intensity of absenteeism rates. Methods: The seasonal and trend decomposition using loess (STL) method was used to analyze the seasonal and long term trend changes in sickness absenteeism among primary and secondary school students from September 1 in 2010 to June 30 in 2018, in Shanghai. A hierarchical clustering method based on Dynamic Time Warping (DTW) was employed to classify absenteeism symptoms with similar temporal patterns. Based on historical data, the study constructed and evaluated different time series algorithms and machine learning models to optimize the accuracy of predicting the trend of sickness absenteeism. Results: During the research period, the average new absenteeism rate due to illness was 16.86 per 10 000 person day for every academic year, and the trend of sickness absenteeism exhibited both seasonality and a long term upward trend, reaching its highest point in the 2017 academic year (22.47 per 10 000 person day). The symptoms of absenteeism were divided into three categories: high incidence in winter and spring (respiratory symptoms, fever and general discomfort, etc.), high incidence in summer (eye symptoms, nosebleeds, etc.) and those without obvious seasonality (skin symptoms, accidental injuries, etc.).The constructed time series models effectively predicted the trend of absenteeism due to illness, although the accuracy of predicting peak intensity was relatively low. Among them, the multi layer perceptron (MLP) model performed the best, with an root mean squared error (RMSE) of 8.96 and an mean absolute error (MAE) of 4.37, reducing 36.51% and 39.02% compared to the baseline model. Conclusion Time series models and machine learning algorithms could effectively predict the trend of sickness absenteeism, and corresponding prevention and control measures can be taken for absenteeism caused by different symptoms during peak periods.

ObjectiveTo analyze the impact of diabetes-related deaths on the probability of premature mortality and life expectancy in Minhang District of Shanghai from 2004 to 2023, and to provide reference data for the optimization of targeted prevention and control strategies. MethodsAll death cases involving diabetes among the registered residents of Minhang District from 2004 to 2023 were collected. The probability of premature mortality and life expectancy was computed using the abridged life table method. The average annual percent change (AAPC) was calculated with Joinpoint 4.9.0.0. The Arriaga decomposition method was employed for statistical analyses of the influence of cause-specific and age-specific mortality related to diabetes on life expectancy. ResultsThe total number of diabetes-related mortality, crude mortality, and standardized mortality for both males and females in Minhang District from 2004 to 2023 exhibited an increasing trend (P<0.001). The primary causes of death among diabetes-related cases were cardiovascular disease (37.68%), diabetes mellitus (31.95%), and malignant tumor (17.80%). From 2004 to 2023, probability of premature mortality to diabetes-related diseases demonstrated a rising trend (P<0.001), contrasting with the declining trend observed in the overall population (P=0.001). Males showed a significant upward trajectory (P<0.001), while females displayed a stable pattern. Among the diseases exerting considerable influence, cardiovascular disease and malignant tumor revealed a marked increase over time (P<0.001), whereas diabetes mellitus maintained a stable trend; both factors negatively impacted the reduction in probability of premature mortality. From 2004 to 2023, diabetes-related mortality reduced life expectancy among residents by an average of 1.22 years (-49.89%), indicating a negative impact; the reduction was 1.41 years in males and 0.90 years in females. The age groups exhibiting greater negative contributions differed by genders, namely males aged 50‒54 years and females aged 70‒74 years. Cardiovascular disease, diabetes mellitus, and malignant tumor contributed significantly to this decline (-0.46 years, -0.42 years, -0.20 years, respectively), with male experiencing higher negative contributions than females. ConclusionIn Minhang District, the rising mortality associated with diabetes-related diseases negatively impact both the reduction of the probability of premature mortality and the increase in life expectancy. This trend is primarily attributed to the rapid escalation of mortality and younger age demographic of male residents, which warrants significant attention. It is recommended that, based on the enhancement of case management, efforts should be directed towards the targeted prevention and control of risk factors and high-risk populations.

Malignant pleural effusion(MPE)is a common complication in patients with advanced malignant tumors,which not only significantly reduces their quality of life but also shortens their survival duration.Despite the widespread use of traditional treatment methods such as thoracentesis and pleurodesis,their efficacy is limited accompanied by high recurrence rates.Therefore,exploring novel therapeutic strategies becomes particularly urgent.In recent years,immunotherapy has attracted extensive attention for its potential in cancer treatment.This article systematically reviews the roles of CD4+T cell subsets,including regulatory T cells(Treg),T helper cell(Th)17,Th9,and Th22 cells,within the immunosuppressive microenvironment of MPE.These cell subsets are involved in the formation of the immunosuppressive state of MPE through various mechanisms and play key roles in the occurrence and development of the disease.In addition,the article discusses in detail the role of immune checkpoint molecules,such as programmed death protein 1(PD-1),PD-1 ligand(PD-L1),and cytotoxic T-lymphocyte-associated protein 4(CTLA-4),in the immune evasion of MPE.The abnormal expressions of these molecules provide opportunity for tumor cells to evade immune system surveillance.At the same time,this article also summarizes the application prospects of novel immunotherapy strategies,such as adoptive cell therapy(ACT)and chimeric antigen receptor T cell(CAR-T)therapy,in the treatment of MPE.These innovative therapies offer possibilities for improving the prognosis of MPE patients through activating and enhancing the anti-tumor immune response.

Objective To evaluate the efficacy of an information-based collaborative special improvement management model in reducing the incidences of falls,hospital-acquired pressure injuries(HAPI)and unplanned extubation among inpatients,hence to offer an effective management strategy.Methods This before-after controlled study included 779,249 inpatients from 1st January,2018 to 31st December,2023.A total 360,484 inpatients were assigned to the pre-implementation group(January 2018-December 2020)and received conventional nursing safety management,while 418,765 inpatients were assigned to the post-implementation group(January 2021-December 2023)and managed with an information-based collaborative special improvement management model.The two groups were compared with total incidence of nursing-related adverse events,rates of falls,HAPI,and unplanned extubation.Results In comparison with the pre-implementation group,the post-implementation group showed significant reductions in rates of total nursing-related adverse event(from 0.0960%to 0.0602%,P<0.01),HAPI(all unavoidable pressure injury)(from 0.0122%to 0.0050%,P<0.01),and unplanned extubation(from 0.0584‰ to 0.0297‰,P<0.01).Falling rate decreased from 0.0267‰ to 0.0263‰,but without significantly different(P>0.05).All four indicators demonstrated an annually downward trends after implementation of the information-based collaborative special improvement management model.Conclusion The information-based collaborative special improvement management model effectively reduces major nursing-related adverse events and enhances the safety of inpatient.

Objective To investigate the dynamic imaging features of a group of patients with anti-glutamic acid decarboxylase 65 （GAD65） antibody-associated neurological syndromes. Methods A retrospective analysis was performed for related data of the patients who were diagnosed with anti-GAD65 antibody-associated autoimmune neurological syndromes in The Second Hospital of Hebei Medical University from January 2018 to December 2021，including clinical features，treatment outcomes，and cranial magnetic resonance imaging （MRI） features at baseline and during follow-up. Results A total of 15 patients were enrolled，among whom there were 8 female patients and 7 male patients，with an age of onset of 28-72 years. The clinical syndromes included limbic encephalitis in 2 patients，temporal lobe epilepsy in 3 patients，and seizures in 7 patients，accounting for 80%，as well as stiff-person syndrome in 1 patient （6.67%） and cerebellar ataxia in 2 patients （13.3%）. Imaging findings showed that of all 15 patients，14 （93.3%） had brain atrophy at initial diagnosis，and only 1 young patient had no brain atrophy； 10 patients （67%） had abnormal signals in the bilateral or unilateral hippocampus，and 3 patients （20%） had abnormal signals in the cortex/subcortical regions. All 15 patients received first-line immunotherapy，and dynamic MRI follow-up was performed for 8 patients，with a follow-up time of half a year to 4 years. Follow-up results showed that based on clinical and imaging findings，the patients with abnormal signals in the cortex/subcortical regions had good response to immunotherapy，while those with abnormal signals in the bilateral or unilateral hippocampus had poor response to immunotherapy. Progressive brain atrophy was observed in all 8 patients receiving MRI follow-up.Conclusion The common imaging findings of anti-GAD65 antibody-associated autoimmune neurological syndromes include abnormal signals in the bilateral or unilateral hippocampus and abnormal signals in the cortex/subcortical regions，and there are differences in clinical manifestations and response to immunotherapy between these two types. Cranial MRI features have an important value in the diagnosis of anti-GAD65 antibody-associated syndromes. MRI examination may be used as an important method for monitoring disease progression and treatment outcome.

Objective To evaluate the efficacy of an information-based collaborative special improvement management model in reducing the incidences of falls,hospital-acquired pressure injuries(HAPI)and unplanned extubation among inpatients,hence to offer an effective management strategy.Methods This before-after controlled study included 779,249 inpatients from 1st January,2018 to 31st December,2023.A total 360,484 inpatients were assigned to the pre-implementation group(January 2018-December 2020)and received conventional nursing safety management,while 418,765 inpatients were assigned to the post-implementation group(January 2021-December 2023)and managed with an information-based collaborative special improvement management model.The two groups were compared with total incidence of nursing-related adverse events,rates of falls,HAPI,and unplanned extubation.Results In comparison with the pre-implementation group,the post-implementation group showed significant reductions in rates of total nursing-related adverse event(from 0.0960%to 0.0602%,P<0.01),HAPI(all unavoidable pressure injury)(from 0.0122%to 0.0050%,P<0.01),and unplanned extubation(from 0.0584‰ to 0.0297‰,P<0.01).Falling rate decreased from 0.0267‰ to 0.0263‰,but without significantly different(P>0.05).All four indicators demonstrated an annually downward trends after implementation of the information-based collaborative special improvement management model.Conclusion The information-based collaborative special improvement management model effectively reduces major nursing-related adverse events and enhances the safety of inpatient.

Objective: To explore the association between dietary behaviors and sleep duration among middle school students in Shanghai, so as to provide reference for interventions targeting insufficient sleep. Methods: From May to June 2021, a stratified cluster random sampling method was employed to select a sample of 10-17yearold middle school students for monitoring their healthrisk behaviors. A total of 5 538 valid questionnaires were collected. The survey included items such as daily sleep duration, weekly consumption of sugary beverages, freshly squeezed fruit juice, fresh fruits, fresh vegetables, fried foods, milk and yogurt, breakfast habits, and frequency of eating outside. Statistical analysis was conducted using Chisquare test, Wilcoxon ranksum test, and multivariable Logistic regression model. Results: About 73.7% of middle school students reported insufficient sleep in Shanghai. There was a positive correlation between the average daily consumption of fresh fruits and breakfast consumption with sleep duration. In other words, a higher frequency of consuming fresh fruits (OR=1.29) and eating breakfast (OR=1.07) were associated with a higher likelihood of sufficient sleep. Conversely, there was a negative correlation between the frequency of consuming desserts (OR=0.78) and fried foods (OR=0.88) and sleep duration (P<0.05). Conclusions Increasing the consumption of fresh fruits and maintaining regular breakfast habits while reducing the intake of fried foods can contribute to achieving sufficient sleep among middle school students. When implementing interventions to improve sleep among middle school students, promoting healthy and balanced diets can be considered as one of the intervention strategies.

Objective: To explore the current status and associated factors of bullying behavior among middle school students in Shanghai, so as to provide a reference basis for carrying out bullying intervention work. Methods: From May to June 2021, a stratified cluster sampling method was used to select 19 000 middle school students from 63 schools in 16 districts of Shanghai, and the Shanghai Youth Health Risk Behavior Survey Questionnaire was used to conduct an anonymous questionnaire survey of enrolled students. Chi square test and binary Logistic regression analysis were employed to investigate the associated factors of bullying among middle school students. Results: The prevalence of bullying behaviors in Shanghai was 15.5%, with males and junior high school students exhibiting the higher reporting rate(19.5%,17.2%). And malicious teasing or name calling had the highest reported rate at 9.4%. The results of binary Logistic regression analysis showed that fighting ( OR =5.02), attempting to smoke ( OR =3.22), having a feeling of sadness and hopelessness ( OR =2.50) and getting drunk( OR =1.72) were positively associated with bullying behavior among middle school students. Fighting ( OR =3.83-8.97), attempting to smoke ( OR =2.92-5.52), having a feeling of sadness and hopelessness ( OR =2.40-4.34), and getting drunk ( OR =1.66-2.34) were positively correlated with 6 forms of bullying (malicious teasing or name calling, intentionally damaging someone else s belongings, deliberately excluding someone from activities or isolating someone, threatening or intimidating others, hitting, kicking, or pushing someone, and verbally harassing or attacking someone online) ( P <0.05). Conclusions Bullying behavior of middle school students in Shanghai primarily presents as verbal harassment. In the future, greater attention should be directed towards bullies, and it should recognize potential hazards promptly and implement precise intervention measures.

Objective To analyze the effects of early staged lung rehabilitation on lung function,cancer-related fatigue and physical activity of patients with severe lung cancer after lobectomy.Methods A total of 112 patients with severe lung cancer who underwent pulmonary lobectomy in the Affiliated Cancer Hospital of Xinjiang Medical University from June 2019 to May 2020 were selected as study objects.They were divided into control group and observation group in the order of enrollment,with 56 cases in each group.There was no significant difference in baseline information between the two groups(P>0.05).The control group was given routine rehabilitation nursing,and the observation group was additionally given early staged lung rehabilitation on the basis of routine rehabilitation nursing.A follow-up study was conducted for 18 months.Pulmonary function indexes,such as forced expiratory volume in one second(FEV1)and forced expiratory volume in one second/forced vital capacity(FEV1/FVC),the incidence of cancer-related fatigue,daily physical activity time,Self-rating Anxiety Scale(SAS)scores and Self-rating Depression Scale(SDS)scores were compared between the two groups before intervention 1,6 and 18 months after intervention.Results The incidence of cancer-related fatigue in the observation group was significantly lower than that in the control group(44.64%vs.64.29%,P=0.037).Repeated measurement analysis of variance showed that there were significant differences in the FEV1,FEV1/FVC,daily physical activity time,SAS scores,and SDS scores between intra-subject effect and inter-subject effect(P<0.05),suggesting that FEV1,FEV1/FVC,daily physical activity time,SAS scores,and SDS scores had a trend of change over time,and there were differences between groups.At 1,6 and 18 months after intervention,FEV1,FEV1/FVC and daily physical activity time in the observation group were significantly higher than those in the control group,while SAS scores and SDS scores in the observation group were significantly lower than those in the control group(P<0.05).Conclusion Early staged pulmonary rehabilitation on the basis of conventional rehabilitation nursing can improve the long-term pulmonary function and negative emotions,reduce the incidence of cancer-related fatigue,and increase physical activity in patients with severe lung cancer after lobectomy.

Objective: To understand the relationship between stress and Internet addiction among middle school students in Shanghai, so as to provide a scientific basis for promoting students mental health and preventing Internet addiction. Methods: From May to June 2021, a stratified random cluster sampling method was used to select 6 123 middle and high school students in Shanghai for health risk behavior monitoring. Daily Stressors Evaluation Scale for Urban Secondary School Students was used to evaluate students' stress, and the Internet Addiction Test compiled by Young was used to evaluate students Internet addiction. The correlation between student stress and Internet addiction was analyzed by Kruskal-Wallis H test , Chi square test and multiple Logistic regression. Results: Total stress score of middle school students in Shanghai was 24 (12, 39), academic stress score was 8 (5, 13), physical and psychological stress score was 6 (2, 10), interpersonal stress score was 5 (1, 9), and family stress score was 4 (1, 8). The detection rate of Internet addiction was 4.7%. Multivariate Logistic regression analysis showed that the risk of Internet addiction among middle school students with high levels of stress was 8.05 times(95% CI =4.59-14.12) that of students with low levels of stress( P <0.05). The risk of Internet addiction among middle school students with high levels of academic stress, physical and psychological stress, interpersonal stress and family stress was 5.98(95% CI =3.69-9.70), 6.92(95% CI =4.03-11.88), 4.85(95% CI =3.11-7.55), and 4.18(95% CI =2.73-6.40) times that of students with low levels of stress, respectively( P <0.05). Conclusion The academic stress, physical and psychological stress, interpersonal stress, and family stress among middle school students can all lead to an increased risk of Internet addiction.