ObjectiveTo systematically compare the effects of diverse electromagnetic stimulation protocols on hand function and activities of daily living (ADL) in stroke patients using network meta-analysis (NMA), and screen the optimal stimulation strategy for post-stroke hand dysfunction rehabilitation. MethodsNMA was performed in accordance with the PRISMA-NMA statement. Databases of CNKI, Wanfang data, VIP, CBM, PubMed, Web of Science and Embase were searched from database inception to April, 2026 for eligible randomized controlled trials (RCTs) comparing different electromagnetic stimulation protocols for post-stroke hand impairment. The Cochrane Risk of Bias tool and PEDro scale were used to assess methodological quality of included studies, while the GRADE system was adopted to grade evidence quality of primary outcomes of Fugl-Meyer Assessment-Upper Extremities (FMA-UE) and modified Barthel Index (MBI). After literature screening, data extraction and bias evaluation, RevMan 5.4 and Stata 17.0 were used for meta-analysis and NMA. ResultsA total of 22 RCT involving 17 electromagnetic stimulation protocols were finally included. The PEDro scores ranged from six to ten. The top five protocols for improving FMA-UE score were repetitive peripheral magnetic stimulation (rPMS) + repetitive transcranial magnetic stimulation (rTMS), intermittent theta-burst stimulation (iTBS) + rPMS, iTBS + transcranial direct current stimulation (tDCS), transcutaneous electrical acupoint stimulation (TEAS) and contralaterally controlled functional electrical stimulation (CCFES). tDCS was the most effective on MBI, followed by TEAS and iTBS+rPMS. Evidence quality for FMA-UE and MBI was moderate. Funnel plots suggested low risk of publication bias, and consistency tests verified good coherence between direct and indirect comparisons in network models. ConclusionElectromagnetic stimulation significantly facilitates upper limb and hand functional recovery, and improves ADL in stroke patients. The combined central-peripheral magnetic stimulation protocol may be the most effective on motor rehabilitation, whereas tDCS on ADL.

Objective To analyze the clinical and epidemiological characteristics of influenza A(H3N2) in Tangshan City, Hebei Province, from 2023 to 2025, and to provide a scientific basis for precise prevention and control of local influenza. Methods The influenza-like cases and influenza outbreak cases in the influenza surveillance sentinel hospitals in Tangshan City from January 2023 to December 2025 were included in this study. The clinical characteristics and epidemic characteristics of H3N2 influenza patients were analyzed by descriptive epidemiological methods and chi-square test. Results A total of 11 567 influenza case samples were tested in the study, with a positive rate of 9.34% (1 080/11 567). Influenza A (H3N2) remained the predominant circulating subtype throughout the study period. January 2023 to February 2023 marked the tailing end of the previous season’s H3N2. Then, a minor peak dominated by H1N1 occurred from March to June, and H3N2 circulated again from October to December, peaking in December. From September 2024 to December 2024, H1N1 and H3N2 circulated concurrently, with H3N2 as the dominant strain, peaking in January of the following year. From March 2025 to September 2025, influenza activity remained at low level, and activity began to rise in October, with H1N1 peaking in November before declining, and H3N2 becoming the dominant strain in December. H3N2 mainly occurred in the 5-14 years old group. Cases in the 0–4-year-old group were primarily characterized by gastrointestinal symptoms, with high fever being common. Cases in the 5–59-year-old group were primarily characterized by systemic and respiratory symptoms, with better clinical outcomes. Cases aged 60 and older exhibited the highest rates of hospitalization, severe illness, and incidence of complications. Conclusion From 2023 to 2025, the influenza virus in Tangshan City, Hebei Province is dominated by influenza A (H3N2). The epidemic is characterized by a peak incidence during autumn and winter, co-circulation with H1N1, and fluctuations during the peak period. It is necessary to pay attention to the clinical management and prevention and control of influenza A (H3N2) in infants and the elderly.

Objective To explore the application effect of multimodal somatosensory exercise based on artificial intelligence technology in home rehabilitation exercise for elderly patients with chronic obstructive pulmonary dis-ease(COPD),so as to promote COPD patients to participate in home rehabilitation exercise.Methods Using the convenient sampling method,80 elderly patients with COPD admitted to the Department of Respiratory Medicine of a tertiary A hospital in Urumqi from November 2023 to February 2024 were selected as the research subjects.Ac-cording to the random number table method,they were divided into a control group and an experimental group,with 40 cases in each group.The control group adopted the traditional exercise training method,and the experimental group adopted the multi-modal somatosensory movement based on artificial intelligence technology for exercise in-tervention,with 5 times a week,and the intervention was implemented for 12 weeks.The pulmonary function index,modified Medical Research Council scale score,physical fitness level,Chronic Obstructive Pulmonary Disease As-sessment Test scale score and exercise compliance of the 2 groups were compared before intervention and 12 weeks after intervention.Results 77 patients completed the study,with 39 in the experimental group and 38 in the control group.The forced vital capacity,forced expiratory volume in one second,forced expiratory volume in one second to forced vital capacity ratio,physical fitness level and exercise compliance of the experimental group were higher than those of the control group,while the modified British Medical Research Council scale score and Chron-ic Obstructive Pulmonary Disease Assessment Test score were lower than those of the control group.The differences were statistically significant(P＜0.05).Conclusion Somatosensory exercise based on artificial intelligence technology can improve the lung function of the patients with COPD,improve the exercise compliance and physical fitness in-dicators of elderly patients and improve the quality of life of the patients.

Objective:To systematically analyze the promoting and hindering factors of physical activity during chemotherapy for children with cancer by Meta-synthesis method, so as to provide a basis for the subsequent formulation of scientific and standardized physical activity strategies.Methods:Databases of PubMed, Web of Science, Cochrane Library, Embase, PsycINFO, CINAHL, China National Knowledge Infrastructure, Wanfang Database, VIP database and China Biomedical Literature Database were retrieved on qualitative research about the experiences of physical activity in children with cancer during chemotherapy and the caregivers′ perceptions of the factors influencing physical activity in children with cancer. The retrieval period is from the establishment of the databases to January 31, 2024. The quality of the literature was evaluated according to Joanna Briggs Institute Evidence Based Healthcare Center Critical for qualitative studies in Australia. The pooled integration method was used to Meta-synthesis the research results such as research topic, implicit meaning and classification.Results:A total of 7 studies were included, and 26 research results were obtained through Meta-synthesis, similar research results were classified into 7 new categories, and finally 2 integrated results were formed:the hindering factors of physical activity in children with cancer during chemotherapy; the promoting factors of physical activity in children with cancer during chemotherapy.Conclusions:During hospitalization for chemotherapy in children with cancer, health care professionals should pay attention to the positive impact of physical activity on children, strive to overcome the obstacles to physical activity, and formulate a scientific and personalized physical activity strategy in combination with each child′s unique condition and personal needs.

Objective:To investigate the current status and influencing factors of barriers to going out among elderly patients with chronic obstructive pulmonary disease (COPD), and to provide a reference for implementing targeted preventive measures.Methods:Elderly COPD patients from the People's Hospital of Xinjiang Uygur Autonomous Region were selected between January and May 2024 by convenience sampling. A cross-sectional survey was conducted using a general information questionnaire, Scale on Barriers to Going Out for the Elderly, Perceived Isolation Scale and COPD Assessment Test (CAT).Results:A total of 270 questionnaires were distributed, with 250 valid responses, the effective response rate was 92.6%. Among the 250 elderly COPD patients, there were 124 males and 126 females, with age distributions: 116 patients aged 60-69 years, 94 aged 70-79 years, and 40 aged ≥80 years. The total score for Scale on Barriers to Going Out for the Elderly was (20.01 ± 4.09). The score on barriers to going out in elderly COPD patients were positively correlated with the Perceived Isolation Scale and CAT scores ( r = 0.456 and 0.625, both P <0.05). Multiple linear regression analysis revealed that age, oxygen therapy, exercise habits,Perceived Isolation Scale, and CAT score classification were the main influencing factors for barriers to going out ( t values were -2.85 to 8.93, all P<0.05), explaining 63.0% of the total variance. Conclusions:The level of barriers to going out in elderly COPD patients is moderate-to-high level. Healthcare professionals should emphasize the assessment of barriers to going out, closely monitor high-risk groups, and develop and implement interventions to prevent such barriers.

Objective:To screen and extract relevant evidence on the management of malnutrition in pediatric cancer patients and provide a best evidence summary.Methods:A systematic search was conducted across multiple websites and databases, including UpToDate, BMJ Best Practice, WHO website, Guidelines International Network, National Institute for Health and Care Excellence, National Guideline Clearinghouse, PubMed, Web of Science Core Collection, Embase, Cochrane Library, China National Knowledge Infrastructure, China Biology Medicine disc, Wanfang Data and others, for evidence on nutritional management of malnutrition in pediatric cancer patients. The search included literature from inception to August 31, 2023. Literature was selected following strict inclusion and exclusion criteria by researchers trained in evidence-based nursing courses. The quality of the selected literature was evaluated, and evidence was extracted and summarized.Results:A total of 11 articles were included, comprising two clinical decision papers, three guidelines, one evidence summary, two systematic reviews, and three expert consensus documents. The evidence was summarized into 24 evidence across five main areas: multidisciplinary team approach, nutritional risk screening and assessment, nutrient intake, dietary and nutritional education, and enteral and parenteral nutrition support.Conclusions:This study provides a best evidence summary for the nutritional management of malnutrition in pediatric cancer patients, offering evidence-based support for clinical practice among healthcare professionals.

Objective:To observe the effects of auricular point compression and exercise therapy on glycolipid metabolism,oxidative stress and sleep quality in type 2 diabetes mellitus(T2DM)patients with poor glycemic control.Methods:This study was a single-center randomized controlled study,86 T2DM patients with poor glycemic control who were treated in our hospital from June 2022 to June 2024 were divided into control group(received conventional treatment,n=43)and observation group(received auricular point compression and exercise therapy,n=43)by using the random number table method.The clinical efficacy,blood lipid indexes,blood glucose indexes,oxidative stress indexes and sleep quality were compared between the two groups.Results:The total clinical effective rate,high-density lipoprotein cholesterol(HDL-C),superoxide dismutase(SOD)and Glutathione peroxidase(GSH-Px)of the observation group after treatment were higher than those of the control group,and the fasting blood glucose(FBG),glycated hemoglobin(HbA1c),Homeostatic Model Assessment of Insulin Resistance(HOMA-IR),total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C),triglycerides(TG),reactive oxygen species(ROS),malondialdehyde(MDA)and Pittsburgh sleep Quality Index(PSQI)score were lower than those of the control group(P＜0.05).Conclusion:Auricular point compression and exercise therapy can regulate glycolipid metabolism in T2DM patients with poor glycemic control,improve the degree of oxidative stress and sleep quality.

Objective:To predict mechanical complications (MC) following spinal deformity surgery for adult spine deformity (ASD) using machine learning models, identify key risk factors, and develop a visualizable tool for individualized risk assessment.Methods:Clinical and radiological data from 525 patients with ASD who underwent surgery in our hospital between January 2017 and December 2021 were collected. Patients were randomly assigned to a training set (70%) and a test set (30%) for model development. The cohort included 88 males and 437 females, with a mean age of 42.2±18.1 years. Variables included demographic data, comorbidities, local and systemic radiological parameters, paraspinal muscle fat infiltration (FI), and vertebral bone quality (VBQ) scores. Multiple machine learning algorithms: Random Forest (RF), Gaussian Naive Bayes (GNB), Light GBM, Support Vector Machine (SVM), XGBoost (XGB), and Logistic Regression (LR) were trained and evaluated. Model performance was compared using the receiver operating characteristic curve (ROC) and precision-recall curve (PRC). SHAP (Shapley Additive Explanations) was used to rank risk factors, while LIME (Local Interpretable Model-Agnostic Explanations) was applied to visualize MC risk in individual cases.Results:Of the 525 patients, 135 (25.7%) developed postoperative MC. Among these, 80 (59.3%) experienced proximal junction kyphosis or failure (PJK/PJF), 7 (5.2%) had distal junction kyphosis or failure (DJK/DJF), 28 (20.7%) sustained rod fractures, and 29 (21.5%) showed significant loss of correction. In the validation cohort, the RF model achieved the highest area under the curve (AUC=0.80), followed by GNB (0.77), XGB (0.76), LR (0.74), LightGBM (0.73), and SVM (0.66). The RF model also demonstrated the best PRC value (0.58), highest sensitivity (0.65), and lowest Brier score (0.20). GNB, Light GBM, and LR models achieved the highest accuracy (0.78 each), while LightGBM exhibited the highest specificity (0.93). SHAP analysis identified higher preoperative VBQ scores, larger T 1 pelvic angle (TPA), and higher paraspinal muscle FI as the main risk factors for MC. Based on the RF model, a LIME-based tool was successfully constructed for individualized MC risk estimation. Conclusion:The RF model demonstrated the best overall predictive performance for MC. A machine learning-based prediction model has the potential to provide valuable guidance for surgical decision-making in ASD patients.

Objective:To systematically synthesize the illness stigma experiences of stroke patients.Methods:A systematic search was conducted in PubMed, Cochrane Library, Embase, Web of Science, China Biology Medicine disc, China National Knowledge Infrastructure, Wanfang Data, and VIP for qualitative studies exploring illness stigma in stroke patients. The search period extended from database inception to September 30, 2024. A Meta-synthesis approach was employed to integrate the findings.Results:A total of fourteen articles were included and ten new categories were extracted and synthesized into four integraion results: sources of illness stigma, key influencing factors of illness stigma, manifestations and impacts of illness stigma, and coping strategies illness stigma.Conclusions:Illness stigma is a significant barrier to stroke rehabilitation. Nurses should be aware of the characteristics of illness stigma, conduct early identification, and develop individualized strategies for prevention and intervention. It is essential to help patients build multi-dimensional support systems involving society and family, and to guide them in gradually accepting and adapting to their new self.

Objectives:To analyze factors associated with physical fitness and health in children and adolescents from the perspective of cohort and urban-rural differences in order to provide evidence for optimizing health intervention policies.Methods:Using data from the China Family Panel Studies(CFPS)from 2012 to 2020,this study examined trends in the health of children and adolescents in terms of height and weight.A hierarchical mixed-effects model was used to examine the impact of socioeconomic factors such as household income,health insurance and regional public health expenditure on physical fitness and health.Interaction models were also used to assess heterogeneous effects across birth cohorts and urban-rural contexts.Results:The physical fitness and health of children and adolescents in China have improved significantly,but urban-rural disparities persist.Household income,parental education and health insurance have protective effects on health,but the strength of these effects varies by cohort and between urban and rural areas.Height and weight outcomes for rural children were more closely associated with economic development and health insurance coverage.Conclusions:The factors associated with physical fitness and health in children and adolescents are dynamic.It is necessary to establish a tiered and targeted health promotion system,strengthening health insurance coverage and interventions in rural areas,while prioritizing family-based healthy lifestyle counselling in urban areas.