Objective To evaluate the prevention and control effectiveness of four major chronic diseases in Youyang County, and find the weak link of prevention and control, and to provide theoretical support for improving prevention and control strategies. Methods Based on the death data of permanent residents from 2012 to 2020 extracted from the cause-of-death registration and reporting system of Youyang County, a statistical analysis was conducted using SPSS19.0. The annual percentage change (APC) was tested by t-test. Results From 2012 to 2020, the mortality rate of and the standardized mortality rate of the four major chronic diseases and the premature mortality rate of diabetes in males showed an increasing trend (APC was 3.05%, 1.82% and 27.12%, respectively, P < 0.05). The mortality rate of the four chronic diseases in females increased (APC was 2.53%, P < 0.05), while the proportion of premature death of the four chronic diseases and the probability of premature death of cardiovascular and cerebrovascular diseases in females decreased (APC was -2.37%, -5.73%, P < 0.05). The standardized mortality rate and premature death rate of the four major chronic diseases were higher in males than those in females. The mortality rate of the four major chronic diseases and the premature death rate of diabetes in the whole population were on the rise (APC was 2.84% and 12.86%, P < 0.05). It was expected that the early death probability of the four major chronic diseases in Youyang County would be 12.65% in 2030, higher than the target value of 12.59% of ^“Healthy China 2030^”. Conclusion The future focus of Youyang County is to prevent and control malignant tumors and diabetes, especially to strengthen the prevention and control of male diabetes.

Objective: To explore the prevalence of screening myopia and depressive symptom among primary and secondary school students in Xuzhou, and to explore the association of sleep and screen time on the coexistence of screening myopia and depressive symptom, so as to provide scientific references for developing intervention strategies to address the development of myopia and promote mental health in children and adolescents. Methods: From September to October 2024, a stratified cluster random sampling method was used to select 6 605 students in grade 4 to 12 in 2 urban and 2 suburban districts in Xuzhou. The students health condition and influencing factors questionnaire were used to assess students basic information, sleep time, and screen time. The Center for Epidemiological Studies Depression Scale (CES-D) was used to assess primary and secondary school students depressive symptom.Unaided distance visual acuity examination was conducted, and refractive assessment was performed using an automated refractometer without cycloplegic agents. The Chi-square test and multiple Logistic regression analysis were used to evaluate the association of sleep and screen time with the coexistence of screening myopia and depressive symptom. Results: The detection rates of screening myopia, depressive symptom, and screening myopia and depressive symptoms co morbidity among primary and secondary school students in Xuzhou were 60.35%, 4.45% and 18.61% respectively. Results from the multinomial Logistic regression analysis, using the healthy group as the reference and after adjusting for confounding factors, showed that students with insufficient sleep duration were more likely to have depressive symptom ( OR=1.57, 95%CI =1.08-2.27) and the coexistence of screening myopia and depressive symptom ( OR=1.85, 95%CI =1.45-2.36). Students with daily screen time≥2 h were more likely to have depressive symptom only ( OR=1.41, 95%CI =1.04-1.93) and the coexistence of screening myopia and depressive symptom ( OR=1.31, 95%CI =1.06-1.61). Further stratified analysis based on sufficient and insufficient sleep duration revealed that only in the insufficient sleep duration group, students with daily screen time≥2 h had an increased risk of depressive symptom only ( OR=1.49, 95%CI =1.07-2.07) and the coexistence of screening positive myopia and depressive symptom ( OR=1.40, 95%CI =1.11- 1.77 ) (all P <0.05). Conclusions Primary and secondary school students with insufficient sleep duration and daily screen time≥2 h have higher risks of depressive symptoms and the coexistence of screening myopia and depressive symptoms. It is recommended to ensure adequate sleep duration and limit screen time for children and adolescents.

Background::In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods, including static images and temporal videos. However, traditional embryo selection methods, primarily reliant on visual inspection of morphology, exhibit variability and are contingent on the experience of practitioners. Therefore, an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly desirable. Methods::We employed artificial intelligence (AI) for embryo morphological grading, blastocyst embryo selection, aneuploidy prediction, and final live-birth outcome prediction. We developed and validated the AI models using multitask learning for embryo morphological assessment, including pronucleus type on day 1 and the number of blastomeres, asymmetry, and fragmentation of blastomeres on day 3, using 19,201 embryo photographs from 8271 patients. A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5, and predict live-birth outcomes. Additionally, a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing (PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth outcomes.Results::These two approaches enabled us to automatically assess the implantation potential. By combining embryo and maternal metrics in an ensemble AI model, we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists (46.1% vs. 30.7% on day 3, 55.0% vs. 40.7% on day 5). Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians (area under the curve: 0.769, 95% confidence interval: 0.709–0.820). These findings could potentially provide a noninvasive, high-throughput, and low-cost screening tool to facilitate embryo selection and achieve better outcomes. Conclusions::Our study underscores the AI model’s ability to provide interpretable evidence for clinicians in assisted reproduction, highlighting its potential as a noninvasive, efficient, and cost-effective tool for improved embryo selection and enhanced IVF outcomes. The convergence of cutting-edge technology and reproductive medicine has opened new avenues for addressing infertility challenges and optimizing IVF success rates.

Objective With the widespread of transcatheter aortic valve replacement(TAVR)in patients with severe symptomatic aortic stenosis(AS),the life-cycle management has become a major determinant of prognosis.Methods A total of 408 AS patients who underwent successfully TAVR from June 2021 to August 2023 were consecutively enrolled in Hospital Valve Intervention Center.Patients were assigned to the Usual Care(UC)group between June 2021 and October 2022,while patients were assigned to the Heart Multi-parameter Monitoring(HMM)group between November 2022 and August 2023.The primary endpoint was defined as composite endpoint within 6 months post-TAVR,including all-cause death,cardiovascular death,stroke/transient ischemic attack,conduction block,myocardial infarction,heart failure rehospitalization,and major bleeding events.Secondary endpoints were the time interval(in hours)from event occurrence to medical consultation or advice and patient satisfaction.Statistical analysis was performed using Kaplan-Meier and multivariable Cox proportional hazards models.Results The incidence of primary endpoint in HMM group was significantly lower than that in UC group(8.9％vs.17.7％,P=0.016),the driving event was the rate of diagnosis and recognition of conduction block.The average time intervals from event occurrence to receiving medical advice were 3.02 h in HHM group vs.97.09 h in UC group(P＜0.001).Using cardiac monitoring devices and smart healthcare platforms provided significant improving in patients long-term management(HR 0.439,95％CI 0.244-0.790,P=0.006).Conclusions The utilization of cardiac monitoring devices and smart healthcare platforms effectively alerted clinical events and improved postoperative quality of life during long-term management post TAVR.

Objective:To explore the latent profile types of capability-opportunity-motivation-behavior in stroke patients and analyze the influencing factors of different latent profiles.Methods:From January to October 2023, totally 596 stroke patients from the Neurology Department of five ClassⅢ Grade A hospitals in Henan Province were selected by stratified random sampling. The patients were surveyed using a general information questionnaire, the Stroke Prevention Knowledge Questionnaire (SPKQ), the Social Support Rating Scale (SSRS), the WHO's Quality of Life Questionnaire- Brief Version (WHOQOL-BREF), the Short Form Health Belief Model Scale (SF-HBMS), and the Health Promoting Lifestyle ProfileⅡ (HPLPⅡ). Latent profile analysis was used to classify the capability-opportunity-motivation-behavior characteristics of stroke patients, and multiple logistic regression was conducted to explore the influencing factors of different latent profiles.Results:Three latent profiles of capability-opportunity-motivation-behavior in stroke patients were identified, including low capability-opportunity-motivation-behavior with high health beliefs (32.4%, 193/596), moderate capability-opportunity-motivation-behavior with insufficient health beliefs (47.5%, 283/596), and high capability-opportunity-motivation-behavior with lack of social support (20.1%, 120/596). Multiple logistic regression analysis showed that educational level, smoking history, family history, body mass index, and Charlson Comorbidity Index score were influencing factors of different latent profiles ( P<0.05) . Conclusions:Stroke patients exhibit distinct classifications of capability-opportunity-motivation-behavior. Targeted interventions should be conducted based on the characteristics of each category to improve health behavior management outcomes in patients.

Objective:To explore the mediating effect of rumination between self-perceived burden (SPB) and stigma in stroke patients, so as to provide theoretical basis for the development of targeted nursing interventions in clinical practice.Methods:In September 2022, cluster sampling was used to select 1 126 stroke patients admitted to Department of Neurology of five ClassⅢ Grade A hospitals in Henan Province as subjects. General Information Questionnaire, Self-Perceived Burden Scale (SPBS), Stroke Stigma Scale (SSS), and Chinese Version of Event Related Rumination Inventory (C-ERRI) were used to investigate stroke patients. Pearson correlation analysis was used to explore the correlation between SPB, rumination, and stigma. AMOS 28.0 software was used to establish the structural equation model, and Bootstrap method was used to test the mediating effect.Results:A total of 1 126 questionnaires were distributed, and 1 026 valid questionnaires were collected, with a valid response rate of 91.12% (1 026/1 126). SPBS score of 1 026 stroke patients was (28.68±8.32), the SSS score was (40.53±9.48) and the C-ERRI score was (25.43±12.62). Pearson correlation analysis showed that SPB in stroke patients was positively correlated with stigma and rumination ( P<0.01), and rumination was positively correlated with stigma ( P<0.01). Bootstrap mediating effect test showed that rumination partially mediated the relationship between SPB and stigma in stroke patients, accounting for 55.15% of the total effect. Conclusions:SPB of stroke patients both directly affect stigma and indirectly affect stigma through rumination. Clinical nursing workers should promptly evaluate patients' SPB, pay attention to the mediating role of rumination, develop effective psychological intervention programs, implement personalized and targeted nursing measures, relieve patients' stigma, and improve treatment and rehabilitation compliance.

Objective:To understand the research status and hotspots in the field of stroke health management at home and abroad, and to provide insights for stroke health management research in China.Methods:Relevant literature on stroke health management published between 2013 and 2023 was retrieved from the Web of Science Core Collection and China National Knowledge Infrastructure databases. CiteSpace 6.1.R6 was used for the visual analysis of the number of publications, authors, institutions, countries, and keywords.Results:A total of 382 relevant articles were included, with 169 in English and 213 in Chinese. The number of publications on stroke health management showed a fluctuating upward trend. Research hotspots and frontiers in stroke health management mainly focused on telemedicine, big data and "Internet+", primary and secondary prevention, risk prediction models, quality of life, and swallowing disorders. Future research trends may focus on management models for post-stroke swallowing disorders, risk identification, and the role of caregivers in remote rehabilitation interventions.Conclusions:Researchers can refer to the research hotspots and trends shown by the visual analysis, with particular attention to health management models for patients with post-stroke swallowing disorders and issues related to remote intervention rehabilitation.