Background With the rapid development of the food delivery industry, take-away deliverymen become an essential component of urban logistics. However, high labor intensity, unstable income, and extended working hours place them at considerable risk of occupational burnout. Available studies have paid insufficient attention to the mental health of this population, and effective predictive or preventive approaches remain limited. Objective To understand the status of occupational burnout among take-away deliverymen, identify influencing factors based on restricted cubic spline analysis, and develop a predictive model to provide a theoretical basis for improving their mental health. Methods A cross-sectional survey was conducted among full-time take-away deliverymen registered to the "Ele.me" and "Meituan" platforms in Hangzhou between September 1 and November 30, 2024, using both online and offline approaches. A questionnaire covered sociodemographic, household, and occupational information, and the Maslach Burnout Inventory–General Survey were used in this survey. Univariate analyses and logistic regression were used to identify factors associated with burnout and to construct a predictive model. Model performance was evaluated using receiver operating characteristic (ROC) curve and calibration curve. Furthermore, restricted cubic spline was used to further explore the relationship between age, working hours, and occupational burnout. Results Among the 1192 participants, 735 (61.66%) experienced occupational burnout. The logistic regression model indicated that older age (OR=1.021, P=0.010), educational attainment of college level or above compared to junior high school or below, (OR=2.837, P<0.001), and longer daily working hours (OR=1.081, P=0.001) were positively associated with occupational burnout. In contrast, work experience of 3−5 years (OR=0.666, P=0.016) and more than 5 years (OR=0.382, P<0.001) compared to those with <3 years, as well as providing three social insurances (OR=0.655, P=0.006) or five social insurances (OR=0.478, P<0.001) compared to those without any social insurances coverage, were negatively associated with occupational burnout. The predictive model based on these variables achieved an area under the curve (AUC) of 0.783 (95% CI: 0.756~0.809), and good agreement between calibration curves. The restricted cubic spline analysis revealed that the risk of occupational burnout was highest among delivery workers aged 33−46 years. Those with daily working hours between 3.5 and 8.1 h had a lower risk, while the risk significantly increased when working hours exceeded 8.1 h per day. Conclusion The prevalence of reporting occupational burnout among take-away deliverymen in Hangzhou is high. The developed predictive model provides valuable insights for the prevention and control of burnout in this population. Measures such as optimizing social security systems, rational work schedule allocation, and enhancing psychological support may help reduce occupational burnout among take-away deliverymen.

BackgroundPostoperative cognitive dysfunction （POCD） is a common complication in elderly patients after surgery， and has a great impact on postoperative rehabilitation of patients. ObjectiveTo explore the effect of mindfulness-based therapy on cognitive function and sleep quality in elderly patients after surgery under local anesthesia， so as to provide references for reducing their incidence risk of POCD and improving sleep quality. MethodsThe simple random sampling method was utilized to select 78 elderly patients who underwent surgery under local anesthesia in The Third Hospital of Mianyang from March 2022 to March 2023. Participants were assigned into study group and control group， each with 39 cases. All patients were subjected to conventional treatment and nursing interventions， and study group added mindfulness-based therapy on this basis. Mini-Mental State Examination （MMSE） was administered to patients on 1 day before surgery， and on the 1^st， 3^rd and 5^th day after surgery. Pittsburgh Sleep Quality Index （PSQI） was employed on 1 day before surgery and on the 3^rd day after surgery. ResultsMMSE scores revealed a significant time effect， group effect and time×group interaction effect （F=78.251， 197.071， 371.915， P<0.05）. Analysis of simple effect denoted that study group scored higher on MMSE on the 1^st， 3^rd and 5^th day after surgery compared with control group， with statistical significance （t=-3.579， -1.764， -0.253， P<0.05）. Study group reported lower incidence rates of POCD on the 1^st， 3^rd and 5^th day after surgery compared with control group， with statistical significance （χ²=2.631， 3.471， 5.135， P<0.05）. On the 3^rd day after surgery，study group scored lower on PSQI than control group（P<0.05）， and PSQI total score， sleep latency， subjective sleep quality， daytime dysfunction and hypnotic drug use factor scores of study group were lower than baseline， with statistical significance（F=43.175， 12.594， 11.092， 4.579， 3.514， P<0.01）. ConclusionMindfulness-based therapy may have certain value in reducing incidence of POCD and improving sleep quality in elderly patients who underwent surgery under local anesthesia.

Objective:To investigate the prevalence and predictors of delayed function independence (DFI) in patients with acute vertebrobasilar artery occlusion (VBAO) achieved successful recanalization after endovascular therapy.Methods:Patients with acute VBAO received endovascular treatment in the Departments of Neurology, the First Affiliated Hospital of University of Science and Technology and General Hospital of Eastern Theater Command, PLA from December 2015 to December 2018 were retrospectively enrolled. The demographic, clinical, laboratory and imaging data were collected. Early functional independence (EFI) was defined as the modified Rankin Scale score 0-2 at discharge, and DFI was defined as the modified Rankin Scale score 0-2 at 90 d after discharge for non-EFI patients. Multivariate logistic regression analysis was used to determine the independent predictors of DFI. Results:A total of 122 patients with acute VBAO were included. Their age was 61.8±11.9 years old and 91 (74.6%) were male. The median Glasgow Coma Scale (GCS) score was 7, the median National Institutes of Health Stroke Scale (NIHSS) score was 26.5, and the median posterior circulation Alberta Stroke Program Early CT Score (pc-ASPECTS) score was 9. Twenty-four patients (20.0%) had EFI; of the 98 patients with non-EFI, 18 (18.4%) had DFI. Multivariate logistic regression analysis showed that male (odds ratio [ OR] 0.038, 95% confidence interval [ CI] 0.002-0.658; P=0.025), cardiogenic embolism ( OR 0.116, 95% CI 0.023-0.579; P=0.009), baseline NIHSS score ( OR 1.136, 95% CI 1.040-1.242; P=0.005) and lung infection ( OR 6.089, 95% CI 1.451-25.562; P=0.014) were the independent predictors of DFI. Conclusions:Nearly 1/5 of the non-EFI patients have DFI. Male, cardiogenic embolism, lower baseline NIHSS score and without pulmonary infection are the independent predictors of DFI.

ObjectiveTo explore the characteristics of adolescent non-suicidal self-injury （NSSI） behavior， and to enable clinicians to further understand adolescents with NSSI behavior， so as to make better clinical diagnosis and intervention. MethodsFrom July 2022 to June 2023， 120 adolescent patients with NSSI behavior were selected from the outpatient department of our hospital by convenience sampling， and the general demographic data were collected by self-made general situation questionnaire. The characteristics and motivation of NSSI among adolescents with NSSI were analyzed by using the NSSI questionnaire and Ottawa self-injury inventory （OSI）. ResultsThe average age of the first NSSI in the adolescents was 12.90±1.233， and the most common was 13 years old. The most common site of NSSI was the lower arm or wrist （58.33%）， followed by the hand （27.5%）. The most commonly used NSSI was "intentionally cutting oneself" （68.33%）； The most common motivation for NSSI is emotional regulation. ConclusionThere are significant differences in gender among adolescents with NSSI behavior. The age of first NSSI is concentrated， and the highest incidence is in the 11‒14 years old. The common way of self-injury is cutting. NSSI is usually associated with the intention to relieve suffering and is characterized by high frequency， using variety of methods， and low mortality. Adolescents with NSSI often choose to implement NSSI with emotion regulation as the main function， including external emotion regulation and internal emotion regulation.

Objective:To establish a long-term mortality rate prediction model for patients aged 60 years and over with atrial fibrillation and coronary heart disease using the machine learning method, and identify the corresponding risk factors of mortality.Methods:In this retrospective cohort study, a total of 329(11 cases lost of follow-up)patients with 183 males(55.6%)and 146 females(44.4%), aged(77.8±7.3)years, and 142 patients aged 80 years or older(43.2%)were selected in our hospitals from January 2013 to March 2015.And their clinical data on atrial fibrillation and coronary heart disease were analyzed.They were divided into the death group(151 cases)and the survival group(167 cases)according to the survival outcome.In addition, 60 patients aged 60 years and over admitted to our hospitals from April to July 2015 with atrial fibrillation and coronary heart disease were selected as external data validation set.The clinical data included age, gender, body mass index, diagnosis, co-morbidity, laboratory indicators, electrocardiogram, echocardiogram, treatment data.These patients were followed up for at least 6 years, and the main adverse cardiovascular and cerebrovascular events(MACCE), including death, were recorded.Finally, the data of the enrolled patients were randomly divided into the training set and the test set according to the ratio of 9∶1, Different models were established to predict the long-term mortality of patients with atrial fibrillation and coronary heart disease by machine learning algorithm.The optimal model was established by substituting external data(60 cases)into the model for verification and comparison.The top 20 risk factors for mortality were determined by Shapley additive explanation(SHAP)algorithm.Results:A total of 329 hospitalized patients were included in this study, the overall median follow-up time was 77.0 months(95% CI: 54.0~84.0), 11 cases lost during follow-up(3.3%), and 151 cases died(45.9%). The analysis found that the areas under the ROC curve for a support vector machine(SVM)model, k-Nearest Neighbor(KNN)model, decision tree model, random forest model, ADABoost model, XGBoost model and logistic regression model were 0.76, 0.75, 0.75, 0.91, 0.86, 0.85 and 0.81, respectively.The random forest model had the highest prediction efficiency, with the accuracy of 0.789 and F1 value of 0.806, which was better than the logistic regression model[the Area Under Receiver Operating Characteristic Curve(AUC): 0.91 vs.0.81, P<0.05]. D-dimer, age, number of MACCE, left ventricular ejection fraction, serum albumin level, anemia, New York Heart Association(NYHA)grade, history of old myocardial infarction, estimated glomerular filtration rate(eGFR)and resting heart rate were important risk factors for predicting long-term mortality. Conclusions:The random forest model based on machine learning method can predict the long-term mortality of patients with atrial fibrillation and coronary heart disease aged 60 years and over, have a good identification ability.Its accuracy is higher than that of the traditional Logistic regression model.Reducing the long-term mortality and improving the long-term outcomes can be achieved by intervening on D-dimer levels, correcting hypoproteinemia and anemia, improving cardiac function and controlling resting ventricular rates.

ObjectiveTo systematically review the efficacy of intervention by WeChat on medication compliance， psychotic symptom and recurrence rate of schizophrenic patients in community. MethodsDatabases including PubMed， the Cochrane Library， CBM， CNKI， Wanfang Data and VIP were searched electronically from January 1， 2011 to November 1， 2020 to collect randomized controlled trials （RCTs） about the effects of WeChat intervention on community schizophrenic patients. After two reviewers independently screened literature， extracted data and assessed the risk of bias of included studies， the meta-analysis was performed with Stata 12.0 software. ResultsA total of 381 articles were retrieved and finally 10 RCTs were included， including 1 251 patients with WeChat intervention group 641 cases and routine health education group 610 cases. Meta-analysis showed that compared with the conventional health education group， the WeChat intervention group had higher medication compliance （OR=3.05，95% CI：1.98~4.69，P<0.01）， lower PANSS score （SMD=-1.05，95% CI：-1.46~-0.64，P<0.01） and relapse rate （OR=0.34，95% CI：0.24~0.48，P<0.01）. ConclusionThe interactive intervention based on WeChat platform can effectively improve the medication compliance of patients with schizophrenia in the community， help to reduce the severity of psychotic symptoms and the recurrence rate.

Objective:To investigate the correlation between metabolic syndrome (MetS) and early neurological deterioration (END) in patients with acute minor ischemic stroke (MIS) and high-risk transient ischemic attack (TIA).Methods:Consecutive patients with acute MIS or high-risk TIA admitted to the Second Affiliated Hospital of Xuzhou Medical University between May 2018 and June 2020 were enrolled prospectively. MIS was defined as the National Institutes of Health Stroke Scale (NIHSS) score ≤3, high-risk TIA was defined as ABCD 2 score ≥4, and END was defined as the highest score of NIHSS within 72 h after admission increased by ≥1 compared with the baseline. Multivariate logistic regression analysis was used to determine the correlation between MetS or its component and END. Results:A total of 145 patients with acute MIS or high-risk TIA were enrolled, including 66 males (45.5%), aged 68.28±9.71 years. Fifty-two patients (35.9%) met the diagnostic criteria of MetS, and 46 (31.7%) developed END. Univariate analysis showed that there were significant differences in age, sex, atrial fibrillation, elevated blood glucose, MetS, fasting blood glucose and C-reactive protein between the END group and the non-END group (all P<0.05). Multivariate logistic regression analysis showed that MetS (odds ratio 2.637, 95% confidence interval 1.127-6.169) and high blood glucose (odds ratio 2.672, 95% confidence interval 1.052-6.789) were the independent risk factors for END within 72 h of admission in patients with acute MIS or high-risk TIA. Conclusion:MetS is significantly associated with END in patients with acute MIS or high-risk TIA.

Objective To investigate the correlation between serum miR-320b and carotid atherosclerosis in patients with acute ischemic stroke.Methods From January 2017 to December 2017,patients with acute ischemic stroke visited the Department of Neurology,the Affiliated Hospital of Yangzhou University were enrolled.According to the findings of carotid artery ultrasonography,they were divided into plaque group and plaque-free group.The baseline clinical data such as demographic data,vascular risk factors,and blood biochemical indicators were collected.Reverse transcription quantitative polymerase chain reaction was used to detect the expression level of serum miR-320b.Multivariatelogistic regression analysis was used to determine the independent risk factors for carotid atherosclerosis.Results A total of 135 patients with acute ischemic stroke were enrolled in this study,including 58 females and 77 males,aged 58.4 ± 10.6 years.There were 85 patients in the plaque group and 50 in the plaque-free group.The total cholesterol (t =5.523,P =0.023) and low-density lipoprotein cholesterol (t =4.415,P =0.044) in the plaque group were significantly higher than those in the plaque-free group,while high-density lipoprotein cholesterol (t =5.849,P=0.017) and serum miR-320b (t =4.331,P=0.039) were significantly lower than those in the plaque-free group.Multivariate logistic regression analysis showed that referring to the highest quartile group,the low serum miR-320b level might be an independent risk factor for carotid atherosclerosis (the first quartile group:odds ratio 2.701,95％ confidence interval 1.154-6.321,P =0.022;the second quartile group:odds ratio 2.521,95％ confidence interval 1.249-5.091,P =0.010;and the third quartile group:odds ratio 1.849,95％ confidence interval 1.041-3.283,P=0.036).Conclusion The low serum miR-320b level might be an independent risk factor for carotid atherosclerosis in patients with acute ischemic stroke.

Objective To explore the relationship among depression,anxiety and social support in elderly patients in community outpatient clinic. Methods A total of 551 elderly outpatients from two com-munity health service centers of Hongkou District in Shanghai were evaluated with patient health question-naire-9 (PHQ-9),generalized anxiety disorder-7 (GAD-7),perceived social support scale( PSSS) for de-pression,anxiety,physical health and social support. Results The prevalence rates of depression and anxiety were 26. 1% and 17. 2%,respectively. The scores of PHQ-9 and GAD-7 were 2. 0(4. 0) and 1. 0(2. 0). There were statistically significant differences in the scores of family support,friend support,other support and social support among the elderly patients with different degrees of depression or anxiety (P<0. 01). Fam-ily support(B=-0. 196) and friend support(B=-0. 171) were protective factors of depression in elderly pa-tients in community outpatient clinic. Age,family support and friend support were protective factors of anxiety in elderly patients,while gender and fluctuation of physical diseases were protective factors of anxiety(P<0. 05). Con-clusions The depression and anxiety is intimately related to social support in elderly outpatients. Appropriate measures should be taken to optimize social support,mitigate bad mood negative improve their quality of life.

Objective To investigate the correlation between blood pressure variability (BPV) and early neurological deterioration (END) in patients with acute anterior circulation large artery atherosclerotic (LAA)stroke. Methods From January 2015 to June 2018, consecutive patients with anterior circulation acute ischemic stroke admitted to the Department of Neurology, the Affiliated Hospital of Yangzhou University were enrolled prospectively. According to the etiological classification, they were divided into LAA group and non-LAA group. By monitoring the blood pressure within 72 h of hospitalization, the mean, maximum (max)and minimum (min) values, and the difference between max and min (max-min), standard deviation (SD),and coefficient of variation (CV; CV = SD × 100/mean) were calculated. END was defined as the highest score of the National Institutes of Health Stroke Scale (NIHSS) within 72 h of admission increased by ≥2than the baseline. Multivariate logistic regression analysis was used to determine the correlation between BPV parameters and END. Results A total of 271 patients with anterior circulation acute ischemic stroke were enrolled, including 101 females (37. 3％) and 170 males (62. 7％), with an average age of 64. 99 ± 11. 51 years. There were 95 patients (35. 1％) with LAA and 176 (64. 9％) with non-LAA. In the LAA group and non-LAA group, 36 patients (37.9％) and 50 patients (28.4％) developed END respectively. The comparison between END patients and non-END patients in the LAA group showed that there were significant differences in age, sex, diabetes mellitus, baseline NIHSS score and C-reactive protein, as well as SBPmax , SBPmax-min , SBPSD , SBPCV, DBPmax , DBPmax-min , DBPSD , and DBPCV in BPV indices (all P < 0. 05).Multivariate logistic regression analysis showed that many BPV indices were the independent risk factors for END, including SBPmax (odds ratio [OR] 1. 027, 95％ confidence interval [CI] 1. 003-1. 052; P = 0. 027),SBPmax-min (OR 1. 041, 95％CI 1. 015-1. 068; P = 0. 002), SBPSD (OR 1. 177, 95％ CI 1. 048-1. 322; P =0. 006), SBPCV (OR 1. 226, 95％ CI 1. 036-1.451; P = 0. 018), DBPmax (OR 1. 073, 95％ CI 1. 017-1. 133;P = 0. 010), DBPmax-min (OR 1. 107, 95％CI 1. 044-1. 174; P = 0. 001), DBPSD (OR 1. 693, 95％CI 1. 268- 2. 260; P < 0. 001), and DBPCV(OR 1. 726, 95％CI 1. 311-2. 271; P < 0. 001). In the non-LAA group, there were no significant association between all BPV parameters and the occurrence of END. Conclusion BPV was significantly correlated with END in patients with anterior circulation LAA.