Journal of research in medical and health sciences
Journal of Research in Medical and Health Sciences (ISSN 3105-5893) is a Chinese academic journal dedicated to promoting research advancement and the practical application of achievements in the fields of medicine and health sciences. The journal aims to serve medical and healthcare researchers, clinical physicians, public health experts, and university faculty and students. It focuses on cutting-edge breakthroughs in medicine and innovations in health services, addressing key topics such as basic medicine, clinical medicine, public health, life sciences, and health management. The journal is committed to providing a high-level platform for academic exchange and the sharing of research outcomes in medical and health sciences.
Research Progress on the Biological Characteristics, Detection Technologies, and Clinical Applications of Tumor Markers
Tumor biological markers are characteristic bioactive substances that are either directly synthesized and secreted by abnormally proliferating tumor cells or released by the host in response to oncogenic biological behaviors during the initiation and progression of malignant tumors. These markers play an irreplaceable role in critical clinical scenarios such as cancer screening, therapeutic efficacy evaluation, and prognosis prediction. This article systematically reviews the biological characteristics, classification systems, and latest advances in detection technologies of tumor markers, with emphasis on their performance limits and clinical bottlenecks in early cancer screening. Furthermore, it analyzes emerging trends in the integration of multimodal detection technologies, providing a theoretical reference for precision oncology practice.
Copyright (c) 2026 Journal of research in medical and health sciences https://creativecommons.org/licenses/by-nc/4.0
Sharing, Precision, and Empowerment: Based on the Provincial Digital Intelligence LibraryResearch on the Construction of Reading Therapy Support System for Poor College Students through Inter-Library Mutual Assistance
Against the backdrop of the popularization and digital transformation of higher education, the economic pressure and psychological development needs faced by the impoverished student group in colleges and universities are intertwined, becoming an important issue affecting educational equity and the quality of talent cultivation. Reading therapy, as an economical, safe and profoundly influential psychological aid, is increasingly highlighting its value. However, a single university library has limitations in terms of resource reserves and professional service capabilities, making it difficult to implement large-scale, personalized and continuous reading intervention for impoverished students. This research takes "sharing, precision and empowerment" as its core concepts, aiming to explore how to rely on the inter-library mutual assistance mechanism of digital and intelligent libraries in universities within the province to build a systematic, collaborative and intelligent reading therapy support system for impoverished students in universities. The article first analyzes the current situation and predicament of reading therapy services carried out by university libraries at present, especially those for students from poor families. Secondly, it expounds the necessity and feasibility of combining digital intelligence technology with inter-library mutual assistance. Furthermore, from four dimensions: the resource layer, the platform layer, the service layer, and the mechanism layer, the theoretical model and implementation framework of this support system were constructed in detail, and a closed-loop service process including precise demand identification, intelligent resource matching, dynamic process intervention, and scientific effect evaluation was designed. Finally, the guarantee strategies and future prospects for the implementation of the system were proposed, with the aim of providing theoretical references and practical paths for promoting educational equity, enhancing the accuracy and effectiveness of psychological education in colleges and universities, and driving the intelligent transformation and service innovation of libraries. This study contains an explanatory table on the "core components and functions of the support system".
Poor students in colleges and universities
Exploration of the Path of Mental Health Education for Left-behind Children in Rural Areas under the Coordinated Mechanism
This study focuses on mental health education for rural left-behind children, analyzing typical psychological issues such as emotional deficits caused by parent-child separation, behavioral deviations resulting from excessive grandparents' indulgence, and inappropriate behaviors stemming from estranged parent-child relationships. Given the challenges in rural mental health education—including teacher shortages, marginalized curricula, and difficulties in interdisciplinary integration—the study proposes establishing a comprehensive intervention framework characterized by "government leadership, school-centered initiatives, family participation, and social collaboration." Government departments should dismantle household registration barriers to ensure school enrollment rights for migrant children while increasing funding for mental health services. Schools should implement dynamic psychological record management systems and develop personalized activity plans for targeted interventions. Parents are encouraged to enhance emotional communication and refine educational approaches. Society should coordinate resources to build a comprehensive support system. Only through multi-stakeholder collaboration mechanisms can the mental health status of rural left-behind children be significantly improved, creating a more favorable environment for their growth.
Application and Reflection of Comprehensive Geriatric Assessment in retired cadres
Objective: To systematically analyze the application status, practical value and existing problems of comprehensive geriatric assessment (CGA) in the health management of retired cadres in the cadre rest homes, so as to provide theoretical basis and practical reference for improving the quality of full-cycle health care for the retired army population.Methods:The domestic CGA related research literature, health management policies and practice cases of cadre rest homes were retrieved, and the evaluation content, application effectiveness, and existing difficulties were systematically sorted out and analyzed from the perspective of the characteristics of service objects of cadre rest homes, so as to put forward targeted improvement strategies.Results:CGA has been gradually introduced as a core tool of health management for the elderly, and significant results have been achieved in the comprehensive management of chronic diseases.However, there are still some problems, such as insufficient standardization, insufficient professional ability of the staff in the cadre rest institutions, and insufficient awareness of CGA among the evaluation objects. Conclusion:It is necessary to improve the standardized assessment system, build a diversified team,and popularize CGA knowledge to build a CGA application model suitable for the needs of the cadre rest, so as to provide accurate, full-dimensional and continuous health services for the retired cadres,and help the implementation of the"Healthy China" and "Healthy Army" strategy.
The Core Application and Practical Value of Mendelian Randomisation in Drug Target Research
Mendelian randomisatio (MR) has demonstrated critical practical value in drug target research as a causal inference tool leveraging genetic variation. By employing genetic variation as an instrumental variable to simulate randomised controlled trials, MR circumvents confounding factors and reverse causality issues inherent in traditional observational studies, providing low-cost, highly reliable evidence for drug target development. This systematic review examines the current application of MR across three core domains: drug target identification and validation, drug repurposing, and safety assessment. Through exemplary cases in cardiovascular disease, metabolic disorders, and neurodegenerative diseases, it elucidates MR's mechanisms and practical outcomes in screening potential drug targets, expanding indications for existing drugs, and providing early warnings of drug safety risks. Concurrently, it analyses MR's unique advantages and challenges within these core applications, offering methodological guidance for future research. By 2025, MR had facilitated the validation of 18 drug targets progressing to Phase II/III clinical trials and driven the expansion of new indications for three classes of existing drugs, significantly enhancing clinical development success rates. This review aims to provide drug development practitioners with a comprehensive overview of MR's core applications, highlighting its pivotal role as a bridge between fundamental research and clinical translation.
Analysis of Changes in Inflammatory Factor Levels and Pregnancy Rate in the Treatment of Endometritis with Guizhi Fuling Decoction Combined with Metronidazole
Objective This study aims to investigate the impact of Guizhi Fuling Decoction combined with metronidazole on the level of the inflammatory factor CD138 in the treatment of endometritis and its improvement effect on the pregnancy rate. Methods A total of 50 patients with endometritis treated from March 2020 to March 2022 were selected and divided into an experimental group (treated with Guizhi Fuling Decoction combined with metronidazole) and a control group (treated with metronidazole alone) according to the treatment plan. The changes in the inflammatory factor CD138 before and after treatment were detected, and the improvement in the pregnancy rate was analyzed. Results The level of the inflammatory factor CD138 in the combined treatment group significantly decreased, and the pregnancy rate was significantly higher than that in the control group. Conclusion The treatment of endometritis with Guizhi Fuling Decoction combined with metronidazole can effectively reduce the CD138 level and improve the pregnancy rate of patients, which is worthy of clinical promotion.
Linkae Analysis of Textile Finished Products, Pharmaceutical Products, and Health Sectors from the Perspective of Organizational Economics
Based on the input-output analysis theory from the perspective of organizational economics, this study utilizes direct consumption coefficient matrices, total consumption coefficient matrices, and the Leontief inverse matrix to analyze the economic linkages among the textile finished products, pharmaceutical products, and health sectors. The results indicate that the pharmaceutical products sector exhibits significant "core-driven" and self-reinforcing characteristics, forming a deeply symbiotic relationship with the health sector. In contrast, the textile finished products sector demonstrates a "marginal supporting" role with relatively weak linkages. The study proposes that promoting the transformation of the textile sector into high-value-added fields such as medical textiles can foster synergistic development among the three sectors, providing a basis for optimizing industrial policies and enhancing supply chain resilience.
Copyright (c) 2025 Journal of research in medical and health sciences https://creativecommons.org/licenses/by-nc/4.0
Artificial Intelligence in New Drug Development: Current Applications and Future Prospects
To systematically evaluate the current applications, key technologies, and implementation outcomes of artificial intelligence (AI) across the entire drug development process, analyze existing challenges, and explore future directions. Methods: Literature published between 2020 and 2025 was retrieved from core databases including PubMed, MEDLINE, Embase, and the Cochrane Library, focusing on AI applications in target identification, compound design, preclinical research, and clinical trials. A systematic review approach was adopted to summarize implementation pathways, performance metrics, and comparative results versus traditional methods. Results: Over 80 eligible studies were included. Findings indicate that AI demonstrates significant advantages at all stages of drug development: in target identification, AI improved efficiency by approximately 40%–60%; in compound design, generative models reduced lead compound discovery time to one-third to one-half of the original duration; in clinical trials, AI-assisted patient stratification increased recruitment efficiency by about 30%–50%. Additionally, AI models achieved 85%–92% accuracy in predicting drug toxicity and pharmacokinetic parameters, markedly outperforming conventional computational methods. Conclusion: AI is profoundly transforming the paradigm of drug development, leveraging data-driven approaches to substantially enhance efficiency, reduce costs, and improve success rates. Despite challenges in data quality, algorithm interpretability, and regulatory compliance, ongoing technological innovation and multidisciplinary integration are expected to drive drug development into a more precise and efficient era.
Cancer-Related Sarcopenia: Mechanisms, Management, and Future Directions
The deterioration of skeletal muscle mass and function, termed sarcopenia, is a common metabolic comorbidity in oncology. Contemporary understanding frames its etiology as a multifaceted process driven by tumor-host interactions, extending beyond traditional causes like malnutrition or sedentariness. Malignancies facilitate muscle depletion through the systemic release of inflammatory mediators, dysregulation of protein turnover, and alterations in endocrine function. The resultant sarcopenia subsequently diminishes host immunity and increases the therapeutic burden, creating a challenging clinical feedback loop. This systematic review aims to delineate the epidemiology, pathophysiological mechanisms, and clinical relevance of cancer-related sarcopenia, while also summarizing current and potential future management strategies within a multidisciplinary paradigm.
The Relationship Between the Intensity of Short Video Platform Uses and the Development of Adolescents' Self-Identity——Research on the Mediating Role of Psychological Resilience
Short video platforms have been deeply integrated into the daily life of adolescents and have become the core tool for their information acquisition and leisure and entertainment, and their use intensity has a profound impact on the development of adolescents' self-identity during the critical period. This study focuses on the relationship between the intensity of short video platform use and adolescents' self-identity and focuses on verifying the mediating role of psychological resilience. The study found that the use of short videos with excessive intensity will impact the clarity and stability of self-identity through social comparison, information overload, and crowding out offline exploration time, which can easily lead to identity diffusion or premature closure. As a positive personal trait, psychological resilience not only plays the role of a "buffer" to alleviate negative effects but also acts as a "conductor" to affect the internal mechanism of action, that is, high-intensity use will consume psychological resources, reduce psychological resilience, and then hinder the formation of healthy self-identity. The research provides directions for families, schools, and society to formulate educational intervention strategies to help adolescents achieve active self-exploration and identity integration in the digital age.
The Impact of Junior High School Students' Academic Stress on Pathological Gaming Behavior: A Sequential Mediation Model of Emotional Regulation Difficulties and Escape Motivation
With the proliferation of digital media, pathological gaming behavior among junior high school students has become a growing social concern. From the perspective of academic stress, this study explores its relationship with pathological gaming behavior, with a specific focus on the sequential mediating roles of emotional regulation difficulties and escape motivation. A questionnaire survey was conducted among 650 junior high school students using the Academic Stress Scale, Difficulties in Emotion Regulation Scale, Gaming Escape Motivation Scale, and Pathological Gaming Behavior Scale. The results indicated that: (1) Academic stress, emotional regulation difficulties, escape motivation, and pathological gaming behavior were all significantly positively correlated with each other. (2) Academic stress could not only directly predict pathological gaming behavior but also influence it through three indirect pathways: the separate mediating effect of emotional regulation difficulties, the separate mediating effect of escape motivation, and the sequential mediating effect of emotional regulation difficulties → escape motivation. This study constructs a sequential mediation model, revealing the influencing pathway of "academic stress → emotional regulation difficulties → escape motivation → pathological gaming behavior," providing a theoretical basis and practical insights for understanding and intervening in excessive gaming among junior high school students.
Research on Library Bibliotherapy Services for Addressing Inferiority Complex Among Economically Disadvantaged Students in Western Chinese Universities
This paper addresses the issue of inferiority complex among economically disadvantaged students in Western Chinese universities, exploring intervention strategies and practical pathways for library bibliotherapy services. By analyzing the characteristics and causes of this inferiority complex, and integrating the theoretical foundations and mechanisms of bibliotherapy, a library bibliotherapy service framework based on the three dimensions of "Needs—Resources—Assessment" is designed. Corresponding implementation safeguards are also proposed, aiming to provide references for constructing an effective psychological support system within Western Chinese university libraries.
Comparative analysis of high-risk HPV and TCT results in 193 postmenopausal women
Objective, To explore the infection status of high-risk human papillomavirus (HR-HPV) in postmenopausal women and the value of liquid-based thin-layer cytology test (TCT) in cervical lesion screening. Methods: A retrospective analysis was conducted on the HR-HPV and TCT results of 193 postmenopausal women aged 55 and above who underwent colposcopy at Luancheng People's Hospital in Shijiazhuang from 2018 to 2023. Biopsy results were used as the gold standard to calculate and compare the screening efficacy of the two methods. Results: Among the 193 women, 162 were TCT positive, with a positive rate of 83.94%; 107 were HR-HPV positive, with a positive rate of 55.44%. The HR-HPV positive rate was significantly lower than that of TCT （χ² = 109.003, P < 0.001）. Among the 108 biopsy-positive patients, TCT detected 97 cases, with a sensitivity of 89.81%; HR-HPV detected 78 cases, with a sensitivity of 72.22%. In the TCT-negative group, 11 cases of pathological positivity were detected, with a missed diagnosis rate of 10.19%; in the HR-HPV-negative group, 30 cases of pathological positivity were detected, with a missed diagnosis rate of 27.78%. Conclusion: In cervical cancer screening for postmenopausal women, TCT has a high sensitivity and low missed diagnosis rate, while HR-HPV has a relatively low sensitivity and high missed diagnosis rate. The combined screening strategy of HR-HPV and TCT can improve the detection rate of cervical lesions and is an ideal cervical screening model for postmenopausal women.
Academic Procrastination and Smartphone Addiction: A Dual “Inhibition–Substitution” Pathway and a Contextual Framework of “Rhythm–Restraint–Support”
In today’s mobile, high-temptation environment, academic procrastination and smartphone addiction among university students are not isolated phenomena; rather, they co-evolve under the tension between immediate rewards and delayed returns. On the basis of clarifying conceptual boundaries—defining smartphone addiction as the co-occurrence of loss of control, excessive use, and functional impairment, and defining academic procrastination as non-necessary delay accompanied by negative affect—this paper proposes an integrative framework centered on self-control. First, self-control operates via an inhibition pathway that reduces passive distractions and in-the-moment unlocking, and a substitution pathway that offers low-cost strategies for emotion and attention regulation, thereby interrupting the cycle of “anxiety → scrolling → greater anxiety.” Second, behavior emerges from the joint shaping of motivation–incentive–context: weak intrinsic motivation amplifies the substitutive pull of the phone; algorithmic recommendation increases temptation density; and loose learning structures raise the cost of self-regulation. Third, the paper advances context-sensitive interventions and actionable scaffolds under a “rhythm–restraint–support” framework—using implementation intentions and proximal, specific sub-goals to translate long-term aims into executable schedules, and employing fixed deep-work blocks, minimal device accessibility, and process-oriented assessment to lower choice costs and create positive feedback. The contribution lies in translating self-control from an abstract “willpower” notion into a designable and assessable system of action, offering practicable pathways for university curricula and learning support, and laying out structured propositions and operational indicators for subsequent quantitative testing and contextualized practice.
Copyright (c) 2025 Journal of research in medical and health sciences
Invisible Barriers and Socio-Psychological Adaptation of Rural College Students in Urban Development under Urban–Rural Disparities
Against the backdrop of China’s dual urban–rural structure, this study conducts an in-depth analysis of the multidimensional inequities that rural college students encounter during urban employment and career development. The findings indicate that even when holding equivalent—or superior—educational credentials and academic performance, graduates from rural backgrounds remain systematically disadvantaged in urban labor markets due to factors such as information vacuums, weak social networks, cognitive path dependence, deficits in cultural capital, and institutional barriers. These inequalities are manifested not only in job access and compensation, but also—more profoundly—in career trajectories, opportunities for social mobility, and difficulties in urban integration. The paper proposes a multidimensional analytical framework for understanding developmental barriers faced by rural college students in cities, and advances policy, educational, societal, and individual-level strategies to mitigate these constraints.
Multidimensional analysis of social responsibility among nursing college students: from the perspective of educational environment and personal traits
This article studied the social responsibility level and influencing factors of 602 nursing college students in a three-year vocational college in Quanzhou, Fujian Province. By collecting data through a structured questionnaire and using independent t-test, analysis of variance, Pearson correlation coefficient, and multiple regression analysis, it was found that social responsibility is significantly positively correlated with professional satisfaction, nursing professionalism, and sociality. Factors such as grade level and volunteer service experience also affect social responsibility. The study provides data support for nursing education and suggests improving the social responsibility of nursing students through optimizing courses and enhancing practice.
Practice and Exploration of Hospital Informatization Driven by Data as a Production Factor
With the deepening development of the digital economy, data as a production factor has become a core driver of industrial transformation and upgrading. As a key link in the healthcare sector’s digital transformation, hospital informatization still faces challenges such as insufficient data value extraction and weak security safeguards. Guided by practical needs and drawing on theories of data-element activation and the protection of critical information infrastructure, this paper analyzes current gaps in hospitals’ data management, system security, and service efficiency. It then proposes a data-element-centered pathway for informatization that includes building a standardized data system, strengthening information security defenses, and creating smart-healthcare service scenarios. Through practical exploration, the goal is to enhance hospital operational efficiency and the quality of medical services, providing a reference for the high-quality development of healthcare in the context of the digital economy.
Analysis of False-Positive Causes in AI-Assisted Cervical CytologyHE Xiaopeng*, LIU Minglei , LIU Hongyue, LI Xiaoxin, SU Ce
Objective,To evaluate the application value of a computer-aided diagnostic (CAD) system for cervical cytology in screening for cervical lesions, to analyze the mechanisms underlying false-positive results, and to propose optimization strategies.Methods,A total of 11,594 liquid-based thin-layer cervical cytology slides collected at Luancheng People’s Hospital of Shijiazhuang from 2018 to 2023 were analyzed using the CR-SA3 cervical cytology CAD system developed by Hunan Pinxin Bioengineering Co., Ltd. A result of atypical squamous cells of undetermined significance (ASC-US) or higher was considered positive. Diagnostic outputs from the AI system were compared with cytopathologist interpretations to calculate concordance, sensitivity, specificity, and predictive values; histopathology served as the gold standard for validation.Results,Among 8,793 qualified slides, the AI system flagged 2,330 as positive. Compared with pathologist diagnoses, there were 1,547 true positives, 783 false positives, and 0 false negatives. The overall concordance of the AI system was 91.10%, with a sensitivity of 100%, specificity of 89.19%, positive predictive value of 66.39%, and negative predictive value of 100%. AI-assisted reading was markedly more efficient than manual review, requiring an average of 70 seconds per slide and saving 708.32 hours in total. The system demonstrated relatively low specificity for benign conditions such as inflammation. Principal causes of false positives included slide preparation variability, uneven staining, inflammatory interference, the inherently subjective nature of ASC-US interpretation, and algorithmic limitations.Conclusions,The AI-assisted system exhibits high sensitivity and efficiency for primary screening in cervical cytology, effectively reducing the risk of missed diagnoses and substantially alleviating pathologists’ workload. However, limitations remain in the precise classification of cellular lesions, with a comparatively high false-positive rate. Reducing false positives will require coordinated, multi-step optimization across the diagnostic workflow.