Patients with rare disease are a vulnerable group in healthcare who urgently need more attention from the government and society. Despite their overall number, they face challenges such as limited diagnosis and treatment options, poor access to medications, and heavy financial burdens. Providing better protection for this group is not only essential for public well-being, but also an important indicator of societal progress. This paper analyzes the current status and challenges of rare disease protection in China, with a focus on building diagnostic and treatment networks, optimizing the multitiered social security system, and improving pharmaceutical access mechanisms. It highlights issues such as incomplete health insurance coverage, unequal resource allocation, and insufficient incentives for drug development. To address these challenges, we suggest strengthening policies, improving the multitiered social security system, encouraging social support, and promoting medical and pharmaceutical innovation to provide comprehensive care for rare disease patients.

Objective:To explore the effects of life events, family environment and coping style on self-injury behavior in adolescents with first-episode depression.Methods:From July 2019 to December 2022, a total of 110 adolescent patients with first-episode depression were selected in the Psychiatry Department of the First Affiliated Hospital of Zhengzhou University. According to whether the patients had self-injury behavior, the patients were divided into group without self-injury( n=54)and group with self-injury( n=56).Patients in the two groups were evaluated by a general clinical data questionnaire, adolescent self-rating life events checklist (ASLEC), family environment scale-Chinese version(FES-CV), simplified coping style questionnaire (SCSQ), 24 items Hamilton depression scale (HAMD-24), Hamilton anxiety scale (HAMA) and 90 symptom checklist-90 (SCL-90). Statistical analysis including t-test, χ2 test and binary Logistic regression analysis were performed on the enrolled data by SPSS 25.0 statistical software. Results:Among 110 patients, there were 56 patients(50.9%) exhibited self-injury behavior.The scores of ASLEC(51.04±5.99, 48.02±6.86), intimacy(3.70±1.85, 4.59±1.60), emotional expression(3.84±1.80, 4.69±1.96), positive coping styles(15.84±5.85, 18.22±4.84), negative coping styles(12.50±3.23, 11.06±3.64), and HAMA(20.63±2.86, 19.48±2.55) showed statistically significant differences between the group with and without self-injury ( t=-2.46, 2.72, 2.36, 2.32, -2.20, -2.21, all P<0.05). Binary Logistic regression analysis showed that life events ( B=0.079, OR=1.083, 95% CI=1.008-1.163, P=0.030), negative coping style ( B=0.173, OR=1.188, 95% CI=1.033-1.367, P=0.016), HAMA ( B=0.225, OR=1.252, 95% CI=1.057-1.482, P=0.009) were risk factors for self-injury, while intimacy ( B=-0.264, OR=0.768, 95% CI=0.593-0.995, P=0.046) and positive coping styles ( B=-0.092, OR=0.912, 95% CI=0.834-0.997, P=0.044) were protective factors for self-injury. Conclusion:The self-injury behavior of adolescents with first-episode depression may be related to negative life events, early adverse family environment and coping style.

Objective:To explore the effects of depressive symptoms on sleep quality in adolescents with depressive disorder, and the mediating roles of cognitive fusion and sleep belief.Methods:A sample of 210 adolescents with first episode depressive disorder aged 12-18 years were recruited to complete 17-item Hamilton depression scale (HAMD-17), Pittsburgh sleep quality index (PSQI), cognitive fusion questionnaire (CFQ), and dysfunctional beliefs and attitudes about sleep scale (DBAS-16) from November 2021 to July 2022. SPSS 26.0 software was used to perform descriptive analysis and correlation analysis. The mediating effect was tested by Bootstrap analysis using PROCESS V 3.4 Macro program.Results:The incidence of low sleep quality in adolescents with depressive disorder was 69.0%(145/210). HAMD-17 score was (22.4±7.9), PSQI score was (9.7±3.7), CFQ score was (51.6±7.8), DBAS-16 score was (43.5±8.4).PSQI was positively correlated with the scores of HAMD-17 and CFQ( r=0.613, 0.463, both P<0.001).HAMD-17 was positively correlated with CFQ score ( r=0.488, P<0.001).DBAS-16 was negatively correlated with scores of PSQI, HAMD-17 and CFQ( r=-0.326, -0.284, -0.354, all P<0.001). The direct effect of depression on sleep quality was 0.230(95% CI=0.169-0.293). The indirect effect of depression on sleep quality through two pathways, the separate mediating effect value of cognitive fusion was 0.041 (95% CI=0.011-0.074), and the chain mediating effect value of cognitive fusion and sleep beliefs was 0.008(95% CI=0.001-0.020). Conclusion:Depressive symptoms can directly affect sleep quality of depressive disorder adolescents and indirectly through cognitive fusion and sleep beliefs.

Objective To visualize the research status and hotspots of women's common disease screening based on CiteSpace 6.1.R6,and to provide a reference for the in-depth research in this field thereafter.Methods The relevant articles were retrieved from the China National Knowledge Infrastructure with the time in-terval from January 1,1992 to December 13,2022.The analysis was conducted on the number of annual publica-tions,countries(regions),institutions,author collaboration networks,keyword co-occurrence,clustering,and bursts.Results A total of 900 papers that met the criteria were included,and the number of annual publications showed a trend of first increasing and then decreasing.The cross-institutional collaboration network was mature.The re-search hotspots mainly covered women's health,the prevalence of women's diseases,reproductive health,and breast diseases.The hotspots have evolved from an initial focus on reproductive health care to gynecological disease management,and eventually to reproductive health and holistic health care in women.Conclusions The attention should be kept on the screening of women's common diseases.It is advisable to synchronize the screening of women's common diseases with the screening of cervical and breast cancers to expand the screening coverage,promote early disease detection and treatment,and comprehensively safeguard women's health.

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.

With the development of the economy and technological progress,more and more animal-derived mesh products are being utilized in the medical field for tissue and organ repair and replacement.Owing to the complexity of their structure and production process,these animal-derived meshes still face several challenges in practical applications,such as insufficient mechanical strength,rapid degradation rates,and the detection of harmful leachable substances.Among these challenges,the production process is a key factor affecting product quality.This paper reviews the key aspects of the production process and quality control for animal-derived meshes in China,offering new insights for the quality control and regulatory oversight of such products.

Objective To construct the etoposide (VP-16)combined with cisplatin (DDP) chemotherapy scheme (EP chemotherapy scheme)resistant small cell lung cancer (SCLC)cell line H446/EP and to identify the drug resistance characteristics and explore the mechanism.Methods NCI-H446 cells were treated with increasing concentrations of VP-16 and DDP to construct an H446/EP cell line.H446/EP and NCI-H446 cells were used as the research objects.The cell viability was detected by MTT assay,and the resistance index (RI)of H446/EP cells was calculated.Cell cloning assay and Incucyte cell proliferation (label-free)assay were used to detect cell proliferation ability.Transcriptome sequencing was performed to analyze the enrichment of differentially expressed genes (DEGs)in the 2 cell lines.Western blotting was applied to detect the protein expression levels of drug resistance,DNA damage repair (DDR),and autophagy markers.Results MTT assay showed that the resistance index (RI)of H446/EP cells to VP-16,DDP,and DOX were 6.14,3.43,and 1.96,respectively.The results of cell cloning assay and Incucyte cell proliferation assay indicated that the proliferation ability was significantly higher in the H446/EP cells than the NCI-H446 cells (P<0.01).Transcriptome sequencing and pathway enrichment analysis displayed that the DEGs between H446/EP and NCI-H446 cells were enriched in tumor chemoresistance,DDR,and autophagy pathways.Western blot results showed the expression levels of MRP1,BCRP,RAD51,γ-H2AX,and LC3-Ⅱ/LC3-Ⅰ were significantly increased,and that of p62 was obviously decreased in the H446/EP cells when compared with the NCI-H446 cells (P<0.05).Conclusion An EP chemotherapy-resistant H446/EP cell line is successfully constructed.Stronger proliferation ability,increased expression of efflux transporters,and enhanced DDR and autophagy may be the mechanisms of the resistance of SCLC to EP chemotherapy scheme.

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 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.