Objective:To explore the latent classes of health behavior and explore the predictive factors among stroke patients.Methods:A total of 1 250 participants were recruited using cluster random sampling in September 2022. The general information, the modified Rankin scale(mRS), stroke prevention knowledge questionnaire(SPKQ), health behavior scale for stroke patients (HBS-SP), and short form-health belief model scale (SF-HBMS) were administered in the cross-sectional survey. Mplus 8.3 software was used to conduct a latent class analysis (LCA) on the health behavior of stroke patients, and SPSS 27.0 software was used to carry out multinomial Logistic regression to analyze the predictive factors of different latent classes of health behavior of stroke patients.Results:The health behavior of stroke patients obtained three latent classes: low health behaviors-lack of health responsibility group (66.9%, n=794), moderate health behaviors-poor compliance group (11.9%, n=141), and good health behaviors-insufficient exercise group (21.2%, n=251). Compared with good health behaviors-insufficient exercise group, stroke patients with shorter duration education time ( B=-0.589, OR=0.555, P=0.036), hemorrhagic stroke ( B=0.082, OR=1.086, P<0.001), fewer comorbidities ( B=-0.022, OR=0.978, P=0.026), higher mRS score ( B=-0.046, OR=1.047, P=0.004), lower SPKQ score ( B=-0.055, OR=0.947, P=0.016), and lower SF-HBMS score ( B=-0.085, OR=0.919, P<0.001) were more likely to be included in moderate health behaviors-poor compliance group. However, stroke patients with shorter duration education time ( B=-0.026, OR=0.974, P=0.003), rural areas dwelling ( B=0.800, OR=2.225, P=0.004), fewer comorbidities ( B=-0.056, OR=0.945, P<0.001), lower SPKQ score ( B=-0.101, OR=0.904, P<0.001), and lower SF-HBMS score ( B=-0.071, OR=0.931, P<0.001) were more likely to be included in low health behaviors-lack of health responsibility group. Conclusion:The health behavior of stroke patients has three latent classes. A targeted intervention should be carried out according to the characteristics of different classes to improve their health behavior levels.

Objective:To explore the potential facilitators and barriers to healthy behavior among stroke patients.Methods:Semi-structured interviews were conducted among 16 stroke patients from September 2022 to March 2023 using an objective sampling method.The interview guide was developed using the theoretical domain framework(TDF). Interviews were transcribed and refined the theme using directed content and induction analysis.Using the TDF as the initial coding framework, the themes were then merged into the most relevant domains.Finally, the correspondence between theoretical domains and the healthy behavior of stroke patients was determined based on the frequency and relationship between themes.Results:This study identified nine theoretical domains that affected the healthy behavior of stroke patients: knowledge, skills, motivation and goals, social influences, social/professional role and identity, environment context and resources, belief about capability, consequence belief and behavioral regulation.Conclusion:The healthy behavior of stroke patients is complex and influenced by several factors.The nine theoretical domains identified in this study will provide recommendations for future healthy behavior interventions for stroke patients.

Objective:To explore the anxiety level, influencing factors among surrogate decision-makers of patients with acute ischemic stroke during thrombolysis decision-making, and their correlation with decision-making duration.Methods:Acute ischemic stroke patients and their surrogate decision-makers who visited the Emergency Department of the First Affiliated Hospital of Zhengzhou University from September 2019 to December 2021 were selected as the research subjects.Sociodemographic data and disease related data of patients and surrogate decision-makers were collected.Surrogate decision-makers were evaluated with the state-trait anxiety inventory, decision participation expectation scale, Wake Forest physician trust scale, and perceived social support scale.SPSS 26.0 software was used for data processing.Pearson correlation analysis, Spearman correlation analysis and ridge regression analysis were used for statistical analysis.Results:The score of state anxiety of decision-makers was (49.47±9.04), and 18.2% (70/383) of decision-makers had a decision duration exceeding 15 minutes.The score of state anxiety of decision-makers was positively correlated with decision duration ( r=0.189, P<0.001). The influencing factors of state anxiety level of decision-makers included sociodemographic factors (age of decision-makers and patients, relationship between payers and patients, whether decision-makers bear the current medical expenses, type of medical insurance for patients), psychological factors (trust level in physicians, perceived social support), factors related to patient disease (numbers of stroke relapses, National Institutes of Health stroke scale scores for patients), characteristics of the decision-making process (whether patients participate in the decision-making process, and the role of decision-makers in the decision-making process) (all P<0.05). Conclusion:Most surrogate decision-makers experience anxiety.Medical staff should pay attention to the emotions of decision-makers and adopt appropriate communication skills when communicating with informed consent for thrombolysis, alleviate the anxiety of surrogate decision-makers, so as so reduce the decision-making duration.

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.

Urban traffic is closely related to the daily life of the public,and air pollution in the traffic microenvironment has become a public health problem that cannot be ignored.This paper reviews the comparative studies of air pollutant exposure levels among different modes of transportation in multiple cities in China.By com-paring the exposure levels of pollutants among different modes of transportation,this paper provides a reference for protecting the health of the public in daily transportation and selecting targeted control measures.

The rise of internet thinking, along with the growing acceptance of the " patient-centered" concept, has played a significant role in driving the development of electronic patient-reported outcomes (ePROs) in the field of clinical evaluation. While several large-scale and well-established ePROs evaluation systems have been widely adopted and implemented worldwide, China has lagged behind in ePROs research and electronic application. Therefore, the purpose of this paper is to comprehensively analyze and summarize the concepts, types, characteristics, state of development, and application of ePROs. Specifically, it focuses on analyzing the structure and content of ePROs evaluation network systems in the United States, France, and the United Kingdom. The ultimate objective is to provide insightful analysis and useful suggestions to aid in the development and evolution of ePROs in China.

Objective:To construct an evaluation indicator system for the health management effects in high-risk stroke population.Methods:From March to May 2020, based on health ecology theory, social cognitive theory and knowledge, attitude/belief, practice theory, the first draft of the evaluation index system for health management effects of high-risk stroke groups was drawn up by literature review and group discussion. Through two rounds of Delphi expert consultation, the evaluation index system of health management effects of high-risk stroke groups was established, and the weight of each index was determined by analytic hierarchy process (AHP). A total of 22 experts were invited to participate in expert consultation. Twenty-two questionnaires were sent out in the first round, and 20 questionnaires were recovered, of which 20 were valid (90.9%). In the second round of correspondence, 20 questionnaires were sent out and 19 questionnaires were recovered, of which 19 were valid (95.0%).Results:The authority coefficients of the two rounds of expert consultation (Cr) was 0.933 and 0.937, respectively. The Kendall coordination coefficients W of importance in the second round was significantly higher than that in the first round (0.299 vs 0.172) ( P<0.001). The mean of importance score (Mj) of each index was 4.10-5.00, coefficient of variation (CV) was 0-0.235, and full mark ratio (Kj) was 0.26-1.00. Finally, an evaluation index system of the health management effects for high-risk stroke population was constructed, which included 3 first-level indicators (individual characteristics, behavior style, environmental support), 12 second-level indicators and 58 third-level indicators. Conclusions:The evaluation index system of the health management effects for high-risk stroke population is established in this study, which provides scientific quantitative indicators and evaluation tools. The enthusiasm, authority and coordination of consultation experts are strong, which indicates that the indicator system is feasible.

Objective:To prepare a phase-change lipid nanoparticle modified by tumor homing membrane-penetrating peptide (tLyP-1) and carrying paclitaxel (PTX) engineered by metal polyphenol network (TA-Fe 3+ ), and evaluate the therapeutic effects of tumor targeting, ultrasound/photoacoustic imaging and photothermal combined chemotherapy in vitro. Methods:Phase-change lipid nanoparticles (t-P@TFP) with TA-Fe 3+ engineered PTX mediated by tLyP-1 were prepared by solvent replacement method, thin film hydration method and double emulsification method. Its detection and characterization, in vitro targeting ability, photothermal conversion ability, in vitro photoacoustic and ultrasonic imaging ability, CCK-8 method, cell live and death double staining method and flow cytometry method were used to detect the safety of nanoparticles and the killing effects of different nanoparticles on 4T1 cells. Results:t-P@TFP nanoparticles were successfully prepared. Transmission electron microscopy showed that the nanoparticles were spherical with uniform shape and size, with a particle size of (209.8±1.56)nm and a potential of (-25.9±1.36)mV. Laser confocal scanning microscopy showed that t-P@TFP nanoparticles could gather around 4T1 cells in a targeted manner. It had an efficient photothermal conversion effect, and nanoparticles could quickly become microbubbles after being irradiated by near-infrared laser, which enhanced the in vitro ultrasonic imaging effect; The photoacoustic signal of nanoparticles increased with the increase of concentration. CCK-8 method, double staining of living and dead cells and flow cytometry showed that t-P@TFP combined photothermal chemotherapy had the best anti-tumor effect. Conclusions:t-P@TFP nanoparticles are successfully prepared. The nanoparticles have good targeting ability for photoacoustic and ultrasonic imaging and have good photothermal effect, killing breast cancer cells, which is expected to realize the integration of diagnosis and treatment.