Objective: To explore the relationship between life skills, psychological resilience and subjective well-being among primary and secondary school students, so as to provide evidence for targeted adolescent mental health education. Methods: From September to November, 2025, a total of 5 831 primary and secondary school students from five cities (Beijing, Guangzhou, Shenzhen, Chongqing, Urumqi) were selected by convenience sampling. The Adolescent Subjective Well being Scale, School based Adolescents Life Skills Scale, and Adolescent Psychological Resilience Scale were used for investigation. Data were analyzed using t-tests, one way ANOVA, and linear regression. Results: The total mean score of students subjective well being was (5.46± 0.91) ; the total mean score of life skills was (3.69±0.64); the total mean score of psychological resilience was (3.66±0.69). Statistically significant differences in subjective well being scores were found among students grouped by gender, grade, school stage, residential city, living with parents or living with siblings ( t/F =4.14, 53.92, 14.53, 49.99, 13.49, 2.18, all P <0.01). Stratified regression analyses were performed by gender (adjusting for school stage, residential city and living arrangement) and by school stage (adjusting for gender, residential city and living arrangement), the regression results indicated that life skills of boys, girls, primary school students and junior high school students( β =0.54, 0.53, 0.50, 0.57) and their psychological resilience ( β = 0.56 , 0.60, 0.56, 0.60) were positively associated with subjective well being (all P <0.01). Conclusions Life skills and psychological resilience may be important protective factors for subjective well being among primary and secondary school students. School based mental health education should emphasize life skills training and resilience building to promote students subjective well being.

Objective: To explore the association between parental subjective well-being and subjective well-being among primary and secondary school students, so as to provide evidence for promoting adolescent mental health from a family perspective. Methods: From September to November 2025, a convenience sampling method was used to recruit 4 612 students in grades 4-8 from 12 primary and secondary schools in five cities—Beijing, Guangzhou, Shenzhen, Chongqing, and Urumqi—along with their parents. Students completed the Adolescent Well being Survey Questionnaire, while parents completed the Parental Well being Survey Questionnaire. Data were analyzed using t-test, one way analysis of variance, multiple linear regression, Logistic regression, and stratified subgroup analyses. Results: The maximum score of the subjective well-being scale for primary and secondary school students was 301, with a total score of (224.07±46.63), representing 74.4% of the full score; the maximum score of the parental subjective well-being scale was 120, with a total score of (92.35±15.10), representing 77.0%. Multiple linear regression analysis showed that parental subjective well-being was positively associated with students overall subjective well-being, positive affect, and satisfaction in each domain (friendship, family, school, environment, freedom, and academics), and negatively associated with negative affect ( β =0.45, 0.08, 0.06, 0.07, 0.05, 0.04, 0.05, 0.04, -0.05, all P <0.01). Logistic regression and stratified analysis showed that parental subjective well-being was positively associated with students high subjective well-being ( OR =1.03), and the association existed in subgroups of different gender, grade and family structure ( OR =1.02-1.04) (all P <0.05). Conclusions Parental subjective well-being is positively associated with students subjective well-being. Future interventions should incorporate an integrated strategy featuring family-school collaboration to promote adolescent well-being.

Objective:To explore the categories and influencing factors of depression in mild cognitive impairment (MCI) patients, so as to provide a reference for formulating precise interventions for depression in MCI patients.Methods:A cross-sectional investigation was conducted. Patients with MCI admitted to the Department of Neurology, The First Affiliated Hospital of Nanchang University from December 2022 to December 2023 were selected as the investigation objects by convenience sampling method. The general data questionnaire, Hamilton Depression Rating Scale-17, Montreal Cognitive Assessment Scale and Lubben Social Network Scale-6 were used to conduct a survey. Latent profile analysis and multiple Logistic regression analysis were used to explore the categories and influencing factors of depression.Results:A total of 537 patients with MCI were included, including 335 females and 202 males, aged (65.72 ± 9.53) years old. MCI patients scored (22.67 ± 4.68) points on the Montreal Cognitive Assessment Scale, (13.27 ± 5.73) points on the Lubben Social Network Scale-6, and 9.00 (5.00, 13.00) points on the Hamilton Depression Rating Scale-17. The depression in MCI patients could be divided into three categories: low risk depression (67.8%, 364/537), low depression-sleep disorder (20.1%, 108/537), and high depression-anxiety (12.1%, 65/537). The multiple Logistic regression analysis showed that gender, education, living style, social isolation and cognitive function were the influencing factors for different categories of depression ( OR values were 0.443-2.921, all P<0.05). Conclusions:There are individual differences in depression in patients with MCI, and precise intervention should be implemented according to the characteristics of different categories of depression.

Objective To investigate the predictive value of preoperative systemic inflammatory response index(SIRI)combined with clinicopathological parameters for postoperative recurrence in cervical cancer and to construct a prognostic model in order to optimize recurrence risk assessment.Methods Patients with cervical cancer who underwent standard surgical treatment at the First Affiliated Hospital of Chongqing Medical University(training cohort,n=996)and Chongqing Maternal and Child Health Hospital(validation cohort,n=496)between January 2017 and January 2022 were retrospectively enrolled based on our strict inclusion and exclusion criteria.Univariate and multivariate Cox regression analyses were performed to identify independent prognostic factors for recurrence-free survival(RFS),and then a nomogram was constructed.Receiver operating characteristic(ROC)curve was plotted to assess the predictive performance of the model,and the area under the curve(AUC)and calibration curve were employed to evaluate the model.Kaplan-Meier survival analysis was performed to determine the clinical application.Results Cox regression analysis demonstrated that International Federation of Gynecology and Obstetrics(FIGO)stage(P<0.001),tumor size(P<0.001),pathological type(P<0.001),tumor grade(P=0.007),parametrial invasion(P<0.001),depth of myometrial invasion(P=0.019),lymphovascular space invasion(P=0.019),vaginal margin involvement(P=0.010),adjuvant therapy(P=0.012),and SIRI(P<0.001)were independent prognostic factors for RFS.Our nomogram model based on above prognostic factors exhibited superior predictive performance for 1-,3-,and 5-year RFS,with a significantly higher AUC value(0.886)than those of single-parameter models.Conclusion Our nomogram model demonstrated good accuracy in predicting RFS in cervical cancer patients,providing a potential tool for personalized clinical decision-making in recurrence risk management.

This article summarizes the experience of providing remote nursing care for a pediatric patient with severe burns using augmented reality(AR)technology.Key nursing points include:to establish a remote management team to enhance multidisciplinary collaboration;to conduct remote nursing ward rounds to provide real-time guidance for clinical nursing practice;to remotely guide PICC(Peripherally Inserted Central Catheter)insertions and conduct precise fluid management;to remotely assess ward environments and provide guidance on disinfection and isolation measures;to alleviate pediatric pain through comprehensive management measures.After meticulous care and treatment,the patient's condition stabilized after 23 days,and the patient was transferred to a specialized hospital for continued treatment requiring skin grafting.

Objective To explore latent classes of behavioural and psychological symptoms in the patients with Alzheimer's disease(AD)and to identify the factors influencing the latent classes and provide a basis for fomulating personalized nursing measures.Methods Convenience sampling was employed to recruit 361 AD inpatients from our hospital between November 2023 and May 2024 for this cross-sectional study.A general data questionnaire,the neuropsychiatric inventory questionnaire,Monteria cognitive assessment scale,activity of daily life scale,and mini-nutritional assessment scale were used in the survey.Latent class analysis was conducted to analyse the data acquired from the survey.Univariate analysis and multiple Logistic regression analysis were used to identify the factors influencing latent classes.Results Toally 346 patients finished the study.It was found that a 72.5%of AD patients developed behavioural and psychological symptoms.The symptoms were categorised into three classes:low symptom-apathy,middle symptom-emotional disturbance and high symptom-behaviour disorder.The course of disease,cognitive function,daily living ability and nutritional status were identified as the factors that influenced the latent classes(all P<0.05).Conclusion AD patients with low cognitive function,poor daily living ability,malnutrition and a course of disease over 5 years are at high risks of behavioural and psychological symptoms which are heterogeneous.Care providers are advised to propose personalised care strategies to improve the behavioural and psychological symptoms.

This article summarizes the experience of providing remote nursing care for a pediatric patient with severe burns using augmented reality(AR)technology.Key nursing points include:to establish a remote management team to enhance multidisciplinary collaboration;to conduct remote nursing ward rounds to provide real-time guidance for clinical nursing practice;to remotely guide PICC(Peripherally Inserted Central Catheter)insertions and conduct precise fluid management;to remotely assess ward environments and provide guidance on disinfection and isolation measures;to alleviate pediatric pain through comprehensive management measures.After meticulous care and treatment,the patient's condition stabilized after 23 days,and the patient was transferred to a specialized hospital for continued treatment requiring skin grafting.

Objective To explore latent classes of behavioural and psychological symptoms in the patients with Alzheimer's disease(AD)and to identify the factors influencing the latent classes and provide a basis for fomulating personalized nursing measures.Methods Convenience sampling was employed to recruit 361 AD inpatients from our hospital between November 2023 and May 2024 for this cross-sectional study.A general data questionnaire,the neuropsychiatric inventory questionnaire,Monteria cognitive assessment scale,activity of daily life scale,and mini-nutritional assessment scale were used in the survey.Latent class analysis was conducted to analyse the data acquired from the survey.Univariate analysis and multiple Logistic regression analysis were used to identify the factors influencing latent classes.Results Toally 346 patients finished the study.It was found that a 72.5%of AD patients developed behavioural and psychological symptoms.The symptoms were categorised into three classes:low symptom-apathy,middle symptom-emotional disturbance and high symptom-behaviour disorder.The course of disease,cognitive function,daily living ability and nutritional status were identified as the factors that influenced the latent classes(all P<0.05).Conclusion AD patients with low cognitive function,poor daily living ability,malnutrition and a course of disease over 5 years are at high risks of behavioural and psychological symptoms which are heterogeneous.Care providers are advised to propose personalised care strategies to improve the behavioural and psychological symptoms.

Objective:To explore the categories and influencing factors of depression in mild cognitive impairment (MCI) patients, so as to provide a reference for formulating precise interventions for depression in MCI patients.Methods:A cross-sectional investigation was conducted. Patients with MCI admitted to the Department of Neurology, The First Affiliated Hospital of Nanchang University from December 2022 to December 2023 were selected as the investigation objects by convenience sampling method. The general data questionnaire, Hamilton Depression Rating Scale-17, Montreal Cognitive Assessment Scale and Lubben Social Network Scale-6 were used to conduct a survey. Latent profile analysis and multiple Logistic regression analysis were used to explore the categories and influencing factors of depression.Results:A total of 537 patients with MCI were included, including 335 females and 202 males, aged (65.72 ± 9.53) years old. MCI patients scored (22.67 ± 4.68) points on the Montreal Cognitive Assessment Scale, (13.27 ± 5.73) points on the Lubben Social Network Scale-6, and 9.00 (5.00, 13.00) points on the Hamilton Depression Rating Scale-17. The depression in MCI patients could be divided into three categories: low risk depression (67.8%, 364/537), low depression-sleep disorder (20.1%, 108/537), and high depression-anxiety (12.1%, 65/537). The multiple Logistic regression analysis showed that gender, education, living style, social isolation and cognitive function were the influencing factors for different categories of depression ( OR values were 0.443-2.921, all P<0.05). Conclusions:There are individual differences in depression in patients with MCI, and precise intervention should be implemented according to the characteristics of different categories of depression.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.