International Journal of General Practice Nursing

A Nomogram for Predicting the Risk of Chronic Kidney Disease among Chinese Adults

2026-02-24T10:09:57+08:00

Objective: By evaluating the associations between some factors and chronic kidney disease (CKD), a predictive nomogram is established to identify the high-risk population of CKD. Methods: A retrospective survey was conducted on the physical examination population in two hospitals in Shanghai and one hospital in Jiangsu Province from October 2022 to April 2023. Variables with P-values < 0.05 in the univariate analyses were selected as independent predictors for a multivariate logistic regression. The nomogram prediction model for the risk of CKD was established and validated using Stata15.0. Results: The prediction model in our study had the best explanatory power. In our prediction model, the influencing factors and hazard ratios were: age 1.85 (1.108–3.088), family history of hypertension 2.057 (1.248–3.392), family history of diabetes 2.675 (1.623–4.407), family history of CKD 4.142 (2.526–6.793), high-salt diet 3.814 (2.343–6.208), creatinine 1.996 (1.225–3.254), glucose 6.874 (4.129–11.443), triglyceride 4.104 (2.464–6.853), C-reactive protein 4.861 (2.817–8.387), and sodium 4.281 (2.617–7.003). The area under the curve values for the performance of the modeling and validation groups for the test nomogram were 0.9225 and 0.9466 and 0.9616, respectively. The Hosmer–Lemeshow test was: modeling set: (χ² = 2.237, P = 0.973); verification set (1): (χ² = 5.380, P = 0.716); verification set (2): (χ² = 6.752, P = 0.564). The nomogram calibration curves predicting the risk showed good consistency between the modeling and verification groups. Conclusion: A nomogram is established and verified internally and externally, which can help identify individuals with increased risk of CKD and provide a reference for the public and decision-makers to formulate primary prevention of CKD.

Application of International Advanced Concepts in Elderly Care Services and Implications for China

2026-02-24T10:14:23+08:00

Against the backdrop of accelerating global population aging, China faces multiple challenges in its traditional elderly care models, including uneven resource distribution and a shortage of professional personnel. This study analyzes international elderly care practices such as the UK’s community-based care, the US’s PACE model, and Singapore’s Central Provident Fund system, summarizing their institutional designs and operational features. Three key implications for China are proposed: strengthen the government’s leading role to promote equitable access to basic elderly care services; mobilize social forces to diversify service supply; and explore a “social-commercial insurance” mechanism to ensure the stable operation of long-term care insurance. The study aims to provide references for building a sustainable elderly care service system.

Building a Healthy Lactic Acid Bacteria Industry

2026-02-24T10:18:24+08:00

Lactic acid bacteria (LAB), as an important probiotic resource, play an irreplaceable role in maintaining human health, preventing diseases, and promoting the development of the food industry. With the deepening of the global “Big Health” concept and the increasing consumer demand for functional foods, the LAB industry is facing unprecedented opportunities for development, but also numerous challenges such as strain homogenization, an incomplete efficacy evaluation system, and confused market promotion. This paper aims to systematically review the current development status of China’s LAB industry and deeply analyze the key issues existing in areas such as strain resources, scientific research, product innovation, regulations and standards, and market education. By drawing on advanced international experience and considering China’s national conditions, this paper proposes strategic pathways for building a “healthy” and sustainable LAB industry from five dimensions: strengthening basic research and the development of proprietary strains, constructing a scientific and rigorous efficacy and safety evaluation system, promoting product diversification and technological innovation, improving the regulatory and standards environment, and enhancing consumer science education and market guidance. This research aims to provide theoretical reference and practical guidance for the high-quality development of China’s LAB industry.

Cultivating Elderly-Care Management Engineers: Dilemmas, Breakthroughs, and Practical Explorations within an Industry-Education Community

2026-02-24T10:21:13+08:00

To address the structural, content-related, and institutional mismatches in the cultivation of Elderly-Care Management Engineers, this study proposes and implements a practical framework for an industry-education integration community involving multiple stakeholders, including higher education institutions, elderly care enterprises, industry associations, and the government. Employing a mixed-methods approach, the research conducted a systematic reform of the curriculum system, faculty development, and practical training platforms. The effectiveness was empirically evaluated using data on learning outcomes, competency development, and industry feedback. Results demonstrate that the community model significantly enhanced the quality of talent cultivation: the core competency attainment rate of graduates increased by 27 percentage points, the job alignment rate rose to 88%, and employer satisfaction reached 91%. This study confirms that the industry-education integration community, through its institutionalized collaboration and governance mechanisms, effectively achieves a precise alignment between talent supply and industry demand, offering a replicable experience for educational reform in related fields.

Current Application Status and Future Prospects of Smart Elderly Care in Shanghai

2026-02-24T10:25:19+08:00

This paper systematically analyzes the development status, challenges, and future pathways of smart elderly care in Shanghai. As one of the cities with the most severe aging populations in China, Shanghai faces significant challenges such as a surge in chronic disease management demands and difficulties in the integration of healthcare and elderly care services. Research indicates that Shanghai has established a development framework led by the government with multi-stakeholder participation, applying technologies such as IoT monitoring, AI-based early warning systems, and big data analytics in home-based, community-based, and institutional elderly care. Key technologies include real-time fall detection algorithms (with an accuracy of 89.99%), voice emotion recognition systems, and positioning systems, which have effectively optimized medical resource allocation and improved care efficiency. However, the development of smart elderly care still faces challenges: inconsistent technical standards leading to system compatibility issues, prominent risks in elderly privacy protection and data security, the digital divide limiting service acceptance among the elderly, and a lag in the training system for professional caregivers. To address these issues, the study recommends strengthening policy support and financial investment, promoting interdisciplinary technology integration and innovation, and building a nationwide smart elderly care ecosystem. This paper argues that by improving technical standards, bridging the digital divide, and enhancing talent cultivation, smart elderly care will become a crucial strategic pathway to address the challenges of an aging population. Shanghai’s experience provides valuable insights for the development of smart elderly care across the country.

Discussion on the Transformation Path of Chronic Disease Health Management Model for the Elderly from the Perspective of Evidence-Based Medicine

2026-02-24T10:28:46+08:00

The intensification of global population aging has made the high incidence of chronic diseases among the elderly a major public health challenge. Traditional management models centered on disease treatment have limitations such as high costs, fragmented services, and delayed interventions. This paper compares the differences between China’s “integration of medical care and elderly care” and Australia’s “Aged Care System,” finding that both face common issues such as uneven distribution of service resources, a shortage of professional talent, and insufficient interdepartmental collaboration. Based on the principles of evidence-based medicine, the paper proposes a systematic transformation path from four aspects: building an early intervention system with prevention as the priority, integrating resources to improve collaborative management mechanisms, empowering management efficiency through technology, and strengthening policy guarantees to promote transformation. It also analyzes the applications and development directions of wearable devices, AI risk assessment, and smart health management platforms. The study aims to shift the management of chronic diseases among the elderly from “disease treatment” to “health promotion and early prevention,” providing theoretical and practical references for improving management levels and addressing the challenges of aging.

Fall Assessment Methods in the Elderly: A Review

2026-02-24T10:31:21+08:00

Falls among the elderly have become a critical global public health issue, threatening physical and psychological well-being and impeding the development of age-friendly societies. Accurate fall risk assessment is essential for effective prevention and intervention. This study systematically analyzes the technical characteristics, application status, and core limitations of existing fall assessment methods for the elderly and puts forward targeted optimization suggestions that integrate community nursing needs and technological trends. Three main method types were reviewed: traditional scales (Morse Fall Scale [MFS] and its Chinese Version [CMFS]), functional tests (Timed Up and Go Test [TUGT]), and wearable device-based fall detection algorithms. Key findings include: MFS/CMFS are widely used for convenience but have limitations in reliability and validity; TUGT facilitates rapid screening but has limited predictive efficacy and is not suitable for non-independent individuals; wearable technologies offer high real-time accuracy but face challenges in acceptance, battery life, and cost. Existing methods suffer from three core contradictions: convenience and accuracy, static assessment and dynamic risks, as well as universality and particularity. To address these, an integrated framework of combining static screening, dynamic monitoring, and special group adaptation is recommended. This framework aims to support precise fall prevention and control for the elderly.

Foreign Healthcare Workers’ Psychological Contract Maintenance Experience and Its Implications for China

2026-02-24T10:34:00+08:00

This paper evaluates the advanced experience of psychological contract management in foreign hospitals from four aspects: building mutual relationships, establishing incentive mechanisms, developing hospital culture, and creating a positive work environment. It identifies problems and shortcomings in the reform process of Chinese public hospitals, such as unmet development and promotion needs of healthcare workers, an unsatisfactory overall professional environment, and a mismatch between workload and compensation/benefits. Corresponding improvement measures for the psychological contract are proposed, providing a reference for stabilizing talent and enhancing cohesion in China’s public hospitals.

From Simulation to Integration: Innovation and Challenges in Virtual Simulation Technology for Nursing Education and Talent Development in China

2026-03-09T11:23:45+08:00

The global ageing population and increasing burden of chronic diseases have created an urgent demand for highly qualified, application-oriented nursing professionals. However, traditional nursing education models face multiple challenges, including a disconnect between theory and practice, difficulties in training for high-risk procedures, uneven distribution of clinical resources, and insufficient training in humanistic care. This necessitates paradigm-level innovation and transformation. This article explores the role of virtual simulation technology as a core driver in propelling China’s nursing education from traditional models toward a new paradigm of deep integration among teaching, learning, and practice. It also analyzes the associated challenges.

Innovative Pathways for Ideological and Political Education in Anatomy Courses: Clinical Decision-Ethics Training Based on AI Scenario Simulation

2026-02-24T10:40:13+08:00

The integration of AI scenario simulation into anatomy education has emerged alongside technological advancement, forming an innovative pathway for ideological and political education in medical curricula. As a novel approach to ethical training in the new era, this model focused on four key aspects: clarifying conceptual boundaries of ethical decision-making, establishing theoretical foundations from constructivist and cognitive psychology perspectives, defining functional roles in clinical-ethical dual-track training, and exploring practical implementation status. The research process is not only one of summarization but also of critical reflection. This article emphasizes integrating professions with disciplines, highlighting that improving students’ clinical decision-making abilities helps with employment. By reviewing existing studies and reflecting on challenges in the development of AI-enhanced anatomy education, this paper clarifies its developmental trajectory and further affirms its potential value in cultivating ethically conscious medical professionals within the Chinese context.

Investigation and Research on the Cognitive Level of Alzheimer’s Disease among the Elderly in a Certain Community in Shanghai

2026-02-24T10:46:54+08:00

This cross-sectional study assessed the knowledge level of Alzheimer’s disease (AD) among 143 community-dwelling elderly individuals in Shanghai, China, using a stratified cluster sampling method. The overall AD knowledge score was 55.82 ± 9.79 (out of 66), with the highest score in caregiving knowledge (21.72 ± 2.67), followed by preventive knowledge (18.16 ± 3.92), and the lowest in disease-specific knowledge (15.94 ± 4.86). Multivariate linear regression identified five key factors significantly associated with the total knowledge score: absence of a family history of depression (β = -18.216, P < 0.001), living with a spouse (β = -1.429, P = 0.013), higher personal monthly income (β = 1.851, P = 0.007), actively seeking dementia-related information (β = -4.137, P = 0.005), and not having sought medical consultation for suspected cognitive impairment (β = 3.701, P = 0.034). The model explained 27.7% of the variance (R² = 0.277, F = 10.485, P < 0.001). These findings revealed a moderate level of AD knowledge with significant disparities across domains and population subgroups. The results underscore the need for targeted health education strategies, particularly for individuals living alone, those with lower socioeconomic status, and those with a family history of mental health conditions, to enhance AD awareness and mitigate its impact within China’s aging population.

Optimizing the Transition of Care for Adolescents with Inflammatory Bowel Disease: Integrating Telemedicine and Remote Monitoring

2026-02-24T10:50:15+08:00

The transition from pediatric to adult healthcare is a vulnerable period for adolescents and young adults (AYAs) with inflammatory bowel disease (IBD), often leading to care discontinuities, poor self-management, and adverse outcomes. This review explores the role of digital health technologies as a catalyst for optimizing transition care. We propose that a hybrid model, integrating telemedicine for virtual consultations and remote monitoring tools for continuous data collection, can create a resilient, patient-centered transition pathway. By fostering self-efficacy, enabling proactive intervention, and ensuring continuity, these technologies hold significant promise for improving health outcomes and empowering AYAs with IBD during this critical life stage.

Research on Dynamic Adjustment and Curriculum Reconstruction of Nursing Programs in Private Universities Empowered by Artificial Intelligence

2026-03-09T11:26:38+08:00

Objective: Against the backdrop of the “Healthy China” initiative and the digital transformation of higher education, this study addresses the critical disconnect between nursing talent cultivation in private universities and clinical practice demands. It aims to provide theoretical underpinnings and practical pathways for optimizing nursing curriculum systems in this context. Methods: A systematic literature review was conducted, utilizing 87 valid articles selected from Chinese and English databases spanning 2019 to 2025. The review synthesized the current state of artificial intelligence (AI)-empowered nursing education, refined the theoretical construction of a core conceptual framework, and performed a multi-perspective comparative analysis from three dimensions: traditional educational models, AI application strategies, and controlled experimental results. Results: AI technology significantly enhances the alignment between nursing curricula and job requirements, improves students’ clinical practical competencies, and boosts teaching efficiency. Private universities can achieve dynamic curriculum reconstruction by establishing diversified resource support systems, implementing modular curriculum design, and developing intelligent evaluation mechanisms. Conclusion: AI serves as a pivotal enabler for nursing education reform in private universities. Future efforts should focus on standardizing AI nursing education resources and integrating humanistic literacy into technological applications, thereby fostering interdisciplinary nursing professionals competent for the era of smart healthcare.

Progress on the Distribution of NK Cells in Healthy Human Peripheral Blood

2026-02-24T10:56:48+08:00

NK cells are an important subset of lymphocytes in the human immune system and play a key role in antiviral and anti-tumor immunity. In this paper, the distribution characteristics and dynamic changes of peripheral blood NK cells in healthy people were systematically reviewed, focusing on the influence of age, gender, ethnicity, and environmental factors. Studies have shown that NK cells show a relatively stable distribution ratio in healthy adults, while in the development stage of children, they show dynamic characteristics that increase with age. The receptor expression and function of NK cells in the elderly population showed an age-related downward trend, indicating that the quality of NK cells, rather than the quantity, was a key indicator of age-related immune changes. Different ethnic groups and high-altitude environments also had a significant impact on NK cell distribution. This paper not only summarizes the quantitative characteristics of NK cell distribution but also analyzes the mechanism of its functional phenotypic changes, provides a scientific basis for clinical immune assessment, and points out the direction for future basic research and clinical application of NK cells.

Research Progress of Medication Adherence in Adolescents with Depression

2026-02-24T11:01:25+08:00

Medication adherence in adolescents with depression is an important factor affecting the treatment effect and long-term prognosis of the disease. The purpose of this review is to discuss the overview, current situation analysis, influencing factors, methods to improve compliance, new research progress, and future research trends of adolescents with depression medication adherence, and to provide a reference for improving medication adherence of adolescents with depression and improving the therapeutic effect of antidepressants.

Research Progress on Psychological Health Care for Cancer Patients Provided by Their Family Members

2026-02-24T13:01:12+08:00

With the global incidence rate of cancer rising year by year, approximately 60–80% of cancer patients experience psychological disorders such as anxiety and depression, which seriously affect treatment compliance and quality of life. As the core force in the mental health care of cancer patients, family members play a significant role in their participation. They can not only improve patients’ psychological state through emotional support but also compensate for the nursing gap caused by limited medical resources. This article systematically reviews relevant research on family members’ participation in the mental health care of cancer patients, summarizing the characteristics and intervention effects of three modes: medical guidance-family execution, family-medical collaborative decision-making, and social support-family empowerment. The comparison reveals that the integrated nursing mode combining “medical guidance + family decision-making + social support” can compensate for the deficiencies of single modes. At the same time, it analyzes the current research issues, such as the dual challenges of family members’ nursing ability and psychological burden, imperfect medical guidance communication mechanisms, and insufficient integration of social resources. It also proposes future prospects for deepening personalized mode innovation, improving the support system, and strengthening long-term effect research, providing a reference for the practice of mental health care for cancer patients.

Research Progress on the Current Status of Oral Frailty in Elderly Patients with Chronic Diseases

2026-02-24T13:06:29+08:00

With the accelerated aging process of China’s population, the number of elderly patients with chronic diseases is constantly increasing. As a crucial manifestation of the deterioration of oral health in the elderly, oral frailty not only affects patients’ eating and nutrient absorption but also is closely related to their overall health and quality of life. This article systematically sorts out the domestic and international research results on oral frailty in elderly patients with chronic diseases in recent years, and conducts a review from four aspects: the definition and assessment tools of oral frailty, the prevalence status of oral frailty in elderly patients with chronic diseases, influencing factors, and intervention directions. It aims to provide references for clinical nursing practice and subsequent research, and offer a theoretical basis for reducing the incidence of oral frailty and improving the oral health status of elderly patients with chronic diseases.

Screening of Lipase-Producing Bacterial Strains and Analysis of Enzyme Production Characteristics

2026-02-24T13:11:41+08:00

Lipase, as an important biological catalyst, hydrolyzes triglycerides into fatty acids, diglycerides, monoglycerides, and glycerol, and is widely used in food, leather, pharmaceutical, and daily chemical industries, particularly in the food sector. Lipase is abundantly present in microorganisms and animals, with lipase-producing microorganisms being suitable for large-scale industrial production due to their rapid reproduction, short cycles, and diverse species. However, since there are currently few strains capable of producing high lipase activity, the increasing demand for industrial applications has made the search for more novel lipase-producing strains increasingly crucial. In this study, from 15 bacterial strains initially isolated from soil in the laboratory, one lipase-producing strain, zjy1-5, was identified through preliminary screening on glycerol-containing plates. Through 16S rDNA sequence analysis and Gram staining microscopic observation, the strain was identified as Rhodococcus rhodochrous, a Gram-positive bacterium. Subsequently, the fermentation conditions for lipase production were optimized, revealing that glucose was the optimal carbon source and 37°C the optimal culture temperature for lipase production. This research provides an experimental basis for further development and utilization of bacterial lipase.

Smart Elderly Care Technology Empowers the Care of Elderly Patients with Alzheimer’s Disease: A Mini Review

2026-02-24T13:15:10+08:00

As global aging progresses, the number of individuals with Alzheimer’s disease (AD) is continually increasing, which imposes heavy caregiving and economic burdens on families and society. Smart elderly care, integrating technologies such as the Internet of Things, big data, and artificial intelligence, demonstrates broad application prospects in the care and management of AD patients. This paper reviews multiple applications of smart elderly technologies for AD patients: early warning and abnormal behavior monitoring, cognitive and memory training, recovery and long-term monitoring of activities of daily living, and caregiver burden reduction. While AD patients’ quality of life and care efficiency are significantly enhanced by smart elderly technologies, numerous challenges remain. In the future, smart elderly technologies still have even greater potential in AD patient care.

The Impact of Smartphone Use before Bedtime on Sleep Quality among College Students: A Review

2026-02-24T13:17:46+08:00

With the widespread use of smartphones, smartphone use before bedtime has become a common behavior among college students, closely linked to their sleep quality issues. This review aims to systematically synthesize existing research to explore the impact of smartphone use before bedtime on college students’ sleep quality and its underlying mechanisms, and to propose targeted intervention strategies. A comprehensive analysis of relevant literature shows that sleep problems such as delayed sleep onset, insufficient sleep duration, and poor sleep quality are prevalent among Chinese college students. There is a significant negative correlation between smartphone use before sleep and sleep quality: the blue light emitted by smartphone screens inhibits melatonin secretion and disrupts circadian rhythms; continuous psychological arousal and cognitive stimulation from new media content, combined with “revenge bedtime procrastination” and sleep delay caused by poor self-control, collectively form a complex pathway that impairs sleep quality. To address these issues, interventions should be implemented at both the individual and school levels. College students should maintain regular routines, avoid electronic devices before bedtime, and optimize sleep environments; colleges and universities need to construct a multi-dimensional sleep health support system through campus cultural activities, dormitory management, and health education. This review emphasizes the importance of reducing smartphone use before bedtime and building a multi-stakeholder collaborative intervention system, which is crucial for helping college students develop healthy sleep habits and promoting their academic progress and physical and mental well-being.

The Role of a Social Support System in Alleviating Multidimensional Stress among Family Caregivers of Older Adults with Disability and Dementia: An Exploratory Study

2026-02-25T08:48:41+08:00

Against the backdrop of global population aging posing severe social challenges, the long-term care needs of older adults with disability and dementia are becoming increasingly prominent, straining healthcare and social welfare systems worldwide. Family caregivers, as the cornerstone of the care system, universally experience profound and multidimensional stress while fulfilling their responsibilities, often at significant personal cost ^[1]. This exploratory study employed a mixed-methods approach, combining standardized questionnaire surveys and semi-structured in-depth interviews with 30 caregivers. The aim was to preliminarily delineate their stress status across key domains and construct a comprehensive social support framework grounded in Bronfenbrenner’s ecological systems theory. The findings indicate that caregivers exhibit alarmingly high-stress levels across physiological (mean sleep quality self-assessment 4.25/5) ^[2], psychological (mean anxiety/depression tendency 4.10/5) ^[3], economic (mean care expenditure as a percentage of household income 58.3%) ^[4], and social (mean social interaction frequency 4.23/5) ^[5] dimensions. Qualitative data further contextualized these scores, revealing narratives of chronic exhaustion, anticipatory grief, financial precarity, and profound social isolation. Consequently, this study proposes a multi-tiered social support system encompassing micro (individual and family empowerment through skill training and psychological services) ^[6], meso (community support network construction via respite care and peer groups)^[7], and macro (policy safeguards and cultural shifts)^[8] levels. It aims to provide preliminary theoretical insights and practical pathways for systematically alleviating caregiver stress and building a resilient, sustainable care ecosystem. The study concludes by acknowledging its sampling limitations and outlining critical directions for future research, including large-scale validation, subgroup analysis, and the integration of digital health technologies ^[9].

A Survey on BMI, Obesity Cognition, and Weight Loss Behaviors among College Students in a Certain University

2026-02-25T08:52:03+08:00

Objective: To investigate the BMI distribution, obesity cognition, and weight loss behaviors of college students in a certain university, and explore the correlation between obesity cognition and weight loss behaviors, so as to provide a basis for college health education. Methods: A cross-sectional study was conducted by convenience sampling among 206 college students of different grades, genders, and majors. A self-designed questionnaire was used to collect data on basic information, obesity cognition, and weight loss behaviors. SPSS software was applied for statistical analysis, including chi-square tests and correlation analysis. Results: Among the 206 subjects, 51.46% (106 cases) had normal BMI, with 16.50% emaciated, 15.53% overweight, and 16.50% obese. Gender differences in BMI were significant: the male overweight rate was 27.91%, while the female obesity rate was 19.17% and emaciation rate was 25%. The overall rate of obesity cognitive bias was 42.72%, with a significant gender difference (χ² = 6.343, P = 0.042). Self-assessed weight was positively correlated with actual BMI (r = 0.372, P < 0.01) and obesity cognitive bias (r = 0.325, P < 0.01). Significant differences were found in weight loss methods among different obesity cognitive groups (χ² = 16.689, P = 0.034) and BMI groups (χ² = 26.514, P = 0.009). Knowledge accuracy varied significantly with obesity cognitive bias (χ² = 21.764, P = 0.001). Conclusion: College students in this university have prominent BMI abnormalities and widespread obesity cognitive bias, with insufficient nutritional knowledge and unscientific weight loss behaviors. Targeted gender-specific health education interventions are recommended to correct cognitive bias and establish healthy weight concepts.

The Current Situation and Strategies for Cultivating Digital Health Literacy in Chronic Noncommunicable Disease Management: A Mini Review

2026-02-25T08:56:50+08:00

Chronic noncommunicable diseases (NCDs) have become a major burden on global health, posing multifaceted challenges to health systems worldwide. These challenges encompass difficulties in patients’ self-management and insufficient medical resources in prevention and treatment. Digital health intervention, which leverages digital technology to deliver personalized medical services, has emerged as a promising solution to improve the efficiency of chronic disease management. However, its effectiveness is significantly influenced by the level of digital health literacy. This mini review synthesizes the current situation of the lack of digital health literacy among patients with chronic diseases, identifying the main factors leading to the deficiency, and proposes effective strategies to address it. Furthermore, by integrating the current landscape with future technological and healthcare trends, this review projects the potential trajectory of digital health literacy in chronic disease management, that is, short-term technology adaptation, medium-term equitable coverage, and long-term educational integration. With the collaborative promotion and joint efforts of all parties, the application of emerging scientific and technological advances will make chronic disease management more efficient. In conclusion, enhancing digital health literacy is the key path to achieving efficient management of chronic diseases and health equity.

A Review on the Current Situation of Online Food Delivery Consumption among University Students and Its Relationship with Overweight and Obesity

2026-02-25T08:59:43+08:00

The rapid growth of online food delivery (OFD) services, driven by internet technology and socioeconomic development, has reshaped modern dietary habits, particularly among urban populations. While global OFD consumption continues to rise, China’s market has expanded at an especially notable pace. In parallel, obesity and related metabolic diseases have emerged as critical public health concerns worldwide. University students, a key consumer group with unique lifestyle and dietary patterns, increasingly rely on OFD due to campus resource constraints and academic demands. However, limited research has examined the association between OFD consumption and health outcomes such as overweight and obesity in this population. Focusing on students at a university in Shanghai, this study analyzes the characteristics of OFD usage and its correlation with overweight/obesity risks. The findings aim to address a research gap and provide insights for targeted health interventions to promote healthier eating behaviors and improve students’ well-being.

A Brief Discussion on the Application of Ginseng in Different Formulations

2026-02-25T09:01:56+08:00

Ginseng is a superior tonic medicinal herb with a long history of use in China, appearing in many different formulae. This paper selects several classic formulae containing ginseng for discussion, elaborating on the compatibility principles and clinical application of ginseng in different formulations.

A Review of Emotional Eating Behavior and Its Influencing Factors among College Students

2026-02-25T09:05:20+08:00

Against the backdrop of the “Healthy China 2030” initiative, which emphasizes promoting healthy lifestyles and dietary behaviors, this paper explores the phenomenon of emotional eating among college students. As future societal pillars, college students face multifaceted pressures (academic, interpersonal, and employment-related) that can trigger emotional fluctuations and subsequently influence their eating behaviors. Given their representative status as a distinctive social group, studying their emotional eating patterns is crucial. This research aims to provide deeper insights into the causes, manifestations, and potential guidance strategies for such behaviors among youth, thereby offering theoretical and practical implications for advancing the Healthy China strategy.

Anxiety and Its Determinants in Family Members of Unaccompanied Hospitalized Elderly Patients

2026-02-25T09:09:56+08:00

The unaccompanied care model, an innovative approach to nursing management designed to address the challenges of population aging and optimize healthcare resources, is increasingly being implemented among elderly inpatients. While this model enhances management efficiency and reduces infection risks, it also presents challenges to the mental health of family members, particularly due to their limited involvement, with anxiety being a prominent concern. This review systematically examines the prevalence and multidimensional factors influencing anxiety among family members of elderly hospitalized patients under the unaccompanied care model. Existing literature indicates that this group experiences significant levels of anxiety. However, most research has been conducted in ICU or neonatal settings, with insufficient focus on geriatric care. Furthermore, there is a notable gap in systematic quantitative studies on this topic. This review summarizes the current body of research, identifies its limitations, and proposes future research directions. Ultimately, it aims to provide theoretical support for the development of more humane family support systems and encourage region-specific empirical studies.

Development and Validation of a Risk Nomogram Model for Predicting Cognitive Frailty in Patients with Stage 1–3 Chronic Kidney Disease

2026-02-25T09:14:11+08:00

Objective: To construct a risk prediction model for cognitive frailty in patients with chronic kidney disease (CKD) and draw a nomogram, so as to provide a reference for clinical medical staff to predict the risk of cognitive frailty in these patients and take targeted nursing measures. Methods: In this study, patients with CKD in stages 1–3 were collected as a modeling set from October 2022 to April 2023 in the Nephrology Department of two hospitals in Shanghai. Through univariate analysis and multivariate logistic regression analysis, the risk factors of cognitive frailty in patients with CKD in stages 1–3 were screened out, and the risk prediction model was constructed according to the weight of risk factors, and the nomogram was drawn using Stata15.0 software. Bootstrap self-sampling method is used to repeat sampling 1,000 times to verify the built prediction model internally. According to the same inclusion and exclusion criteria, from October 2022 to April 2023, the patient case data of stages 1–3 CKD in the Nephrology Department, a cooperative hospital in Jiangsu Province, were selected as the verification set, and the model was externally verified. Results: In the modeling set (n = 600), cognitive frailty incidence was 38.8% (n = 233), and in the verification set (n = 200), it was 42.0% (n = 84). Independent risk factors include chronic disease count, depression, sleep quality, C-reactive protein, D-dimer, and parathyroid hormone in CKD patients. Internal test showed corrected C-statistic 0.779 (95% CI 0.742–0.816, P < 0.01), Hosmer–Lemeshow χ² = 5.794, P = 0.670 > 0.05. DCA indicated the model provides positive benefits for intervention decisions. External verification yielded C-statistic 0.909 (95% CI 0.870–0.948, P < 0.01), Hosmer–Lemeshow χ² = 3.423, P = 0.904 > 0.05. Conclusion: The incidence of cognitive frailty in patients with CKD is high. Patients with CKD with a large number of chronic diseases, severe depressive symptoms, poor sleep quality, abnormal C-reactive protein, abnormal D-dimer, and abnormal parathyroid hormone have a higher risk of cognitive frailty. The risk prediction model has good prediction efficiency, which can provide a reference for clinical medical staff to predict the risk of cognitive frailty in patients with CKD and formulate nursing countermeasures.

Digital and Intelligent Empowerment and New Quality Health Service Capabilities Cultivation: An Exploration on the Teaching Reform of the “Health Service and Management Skills” Experimental Course

2026-03-10T10:18:39+08:00

Under the dual strategies of “Healthy China 2030” and “Digital China,” professionals in health service and management are expected to possess both traditional medical competencies and digital and intelligent healthcare literacy. To address the gap between the “Health Service and Management Skills” laboratory course and job competency, the reform of this experimental course is undertaken, aiming to establish a “new ecology of digital and intelligent experimental teaching” that cultivates talents with new quality health service capabilities. Four core competency development goals are defined: data literacy and intelligent decision-making; application of intelligent tools and human–machine collaboration; personalized and precise service design; and digital communication skills. Teaching measures include VR-based virtual simulation for pre-class preparation, AI and big data platform–driven data prediction, and interactive intelligent courseware that provides personalized feedback and learning plans. Supported by real-world health management project practice, the reform also integrates innovation competition, diversified assessment methods, and the cultivation of humanistic qualities. Students’ subjective initiative was stimulated, and their job competency in adapting to “new quality health service capabilities” was significantly enhanced. This study explored the cultivation pathways for future professionals in the health service industry, providing valuable insights for similar course reforms, and established a replicable model of teaching innovation applicable to majors such as elderly Health Service and Management and digital healthcare.

Efficacy of Traditional Chinese Medicine Soaking Combined with Acupoint Moxibustion for Postoperative Numbness in Lumbar Disc Herniation Patients After Transforaminal Endoscopic Surgery

2026-03-04T10:38:30+08:00

Objective: To observe the intervention effect of traditional Chinese medicine (TCM) soaking combined with acupoint moxibustion on patients’ numbness symptoms after percutaneous endoscopic lumbar discectomy for lumbar disc herniation. Methods: A total of 80 patients with lumbar disc herniation who underwent transforaminal endoscopic surgery in our hospital from January 2023 to January 2024 and experienced numbness after the operation were selected. They were divided into an observation group (40 cases) and a control group (40 cases) using a random number table method. Both groups received conventional nursing care, including bed rest and oral methylcobalamin. The control group received no additional intervention beyond this conventional care, while the observation group received additional intervention of TCM soaking combined with acupoint moxibustion on the basis of basic nursing care. The course of treatment was 1 week for both groups. The numbness Visual Analogue Scale (VAS) score, Japanese Orthopaedic Association (JOA) lumbar function score, and clinical efficacy were compared between the two groups. Results: Before intervention, there were no statistically significant differences in numbness VAS score and JOA score between the two groups (P > 0.05). After 3 days and 1 week of intervention, the numbness VAS score of the observation group was significantly lower than that of the control group (P < 0.05). After 1 week of intervention, the JOA score of the observation group was significantly higher than that of the control group (P < 0.05), and the total effective rate (92.5%) was significantly higher than that of the control group (67.5%) (P < 0.05). No serious adverse reactions occurred in either group. Regarding quantitative efficacy indicators, the relative risk of ineffective outcomes in the observation group was 0.23 (95% CI: 0.08–0.68), and the absolute risk reduction of ineffective outcomes was 25.0% (95% CI: 10.2–39.8), further confirming the superiority of the combined therapy. Conclusion: TCM soaking combined with acupoint moxibustion can effectively reduce the degree of numbness in patients after transforaminal endoscopic surgery, improve lumbar nerve function, and has high safety, which is worthy of clinical promotion and application.

Epigenetic Regulatory Mechanisms of ZNF304 in Colorectal Cancer and Its Role in Migration and Invasion

2026-02-26T09:53:29+08:00

Colorectal cancer is one of the leading causes of cancer-related deaths worldwide, and its development involves complex genetic and epigenetic mechanisms. Epigenetic regulation, especially DNA methylation, plays a crucial role in tumorigenesis, progression, and metastasis. Epithelial-mesenchymal transition (EMT) is an important process promoting tumor cell invasion and metastasis, and epigenetic regulators such as TRIM28 and ZNF304 play key roles in this process. TRIM28 can regulate the expression of EMT-related genes by activating the TGF-β signaling pathway and histone modification; ZNF304, as a member of the C2H2 zinc finger transcription factor family, is closely related to cell survival, migration, and metastasis in various tumors. This review summarizes the epigenetic regulatory mechanisms of TRIM28 and ZNF304 in colorectal cancer, exploring their roles in the EMT process and tumor migration and invasion, providing new insights for the study of colorectal cancer metastasis mechanisms and targeted therapy.

Evidence-Based Nursing Practice for Post-Stroke Anxiety and Depression Based on Guidelines

2026-02-26T09:53:28+08:00

Objective: To systematically retrieve clinical practice guidelines in Chinese and English concerning the identification and management of post-stroke anxiety and depression, extracting the best available evidence for clinical implementation; to conduct a clinical status survey to understand the effectiveness, feasibility, and appropriateness of implementing this best evidence in practice, analyze barriers, and provide a reference for developing evidence-based nursing practice protocols for guideline-based identification and management of post-stroke anxiety and depression. Methods: Systematically retrieved clinical practice guidelines on the identification and management of post-stroke anxiety and depression in Chinese and English from databases including CNKI, Wanfang, VIP, CBM, PubMed, and relevant guideline websites such as RNAO, NZGG, NICE, SIGN, the Chinese Centre for Evidence-Based Medicine, and Yimaitong between January 2010 and December 2024. Employed the AGREE II tool to systematically evaluate the quality of screened guidelines, forming the best evidence suitable for clinical implementation. Through purposive sampling, seven nursing staff from neurology and neurosurgery departments and six stroke patients at a tertiary hospital were selected for semi-structured interviews to understand the current clinical implementation of post-stroke anxiety and depression identification and management, alongside patients’ psychological needs and experiences. Participatory observation was employed to examine departmental policies on stroke anxiety and depression care, identification and management practices, care documentation, and nursing staffing resources. Results: A literature search of relevant websites and databases yielded 1,088 articles. Following screening, six guidelines related to post-stroke anxiety and depression were ultimately included, excluding expert consensus and explanatory guidelines. Among these, three were international guidelines and three were domestic guidelines. Three project team members evaluated the guidelines using the AGREE II instrument, yielding ICC values of 0.901 (P < 0.001), 0.886 (P < 0.001), 0.811 (P < 0.001), 0.860 (P < 0.001), 0.834 (P < 0.001), and 0.905 (P < 0.001), respectively. All ICC values exceeded 0.75, indicating good inter-rater reliability. Among these, two guidelines achieved standardized scores exceeding 60% across all six domains, qualifying as Grade A quality. Two guidelines met ≥3 domains at ≥30% but had <60% in any domain, classifying as Grade B. Two guidelines had four domains below 30%, categorized as Grade C. Interview findings revealed a lack of established processes for identifying and managing post-stroke anxiety and depression within departments. Nursing staff demonstrated weak awareness and insufficient knowledge regarding the identification and management of post-stroke anxiety and depression. Patients commonly experienced anxiety and depression post-stroke, lacked key knowledge about stroke, and expressed a strong desire for nursing support. Conclusion: The included international guidelines on post-stroke anxiety and depression carried recommendations of Grade A and B, indicating overall high quality. In contrast, domestic guidelines carried recommendations of Grade B and C, reflecting generally moderate quality. International guidelines offer more comprehensive and detailed recommendations for identifying and managing post-stroke anxiety and depression than domestic guidelines. Domestic guidelines still lag behind international counterparts in terms of practicality, scientific rigor, and thoroughness. Consequently, China should actively explore localizing high-quality international guidelines to provide clinical nursing staff with evidence-based guidance for identifying and managing post-stroke anxiety and depression, thereby enhancing nursing service quality and evidence-based decision-making. Evidence-based nursing practice, grounded in optimal evidence from evidence-based guidelines, incorporates patient needs and preferences, professional nursing judgement, and the clinical context of evidence application to form final recommendation items. This provides guidance for identifying and managing post-stroke anxiety and depression in clinical settings, serving as the prerequisite and safeguard for translating optimal evidence into clinical transformation and application.

Hydrogen Peroxide Technology and Wellness Services: Research on Innovation and Application Models of Intelligent Oxygen Therapy Equipment in the Context of Industry-Education Integration

2026-02-26T09:53:27+08:00

With the upgrading of healthcare industry demands and the deepening of industry-education integration policies in China, the technological innovation and service model integration of intelligent oxygen therapy equipment have become a key path to address industry bottlenecks. This study focuses on the “oxygen-enriched + negative oxygen ion” composite device (abbreviated as “dual-oxygen equipment”), exploring its innovative design and healthcare applications under industry-education integration. Research shows that this equipment, through a triple physical purification system combining “activated carbon adsorption + negative oxygen ion deposition + active silver ion sterilization” with nebulization rehabilitation functions, effectively enhances non-pharmacological intervention outcomes for chronic respiratory diseases. With 93% oxygen-enriched output capacity and PM2.5 purification efficiency ≤35 μg/m³, it provides reliable technical support for community and home-based healthcare scenarios. Additionally, the collaborative “R&D-talent-service” closed-loop mechanism between schools and enterprises—through joint laboratory construction, development of occupational standards, and service package design—has achieved full-chain breakthroughs from technical prototypes to industrial applications of intelligent oxygen therapy equipment, offering replicable practical paradigms for high-quality development in the healthcare industry.

Innovative Development Measures for Nursing Talent Cultivation in Private Higher Education Institutions under the Background of Industry-Education Integration

2026-02-26T09:53:26+08:00

With the increasing demand for nursing professionals in society, industry-education integration has emerged as a crucial development model for cultivating nursing talent in private higher education institutions. This review aims to explore the current status and development measures of nursing education within this integration framework, analyzing the challenges faced and strategies for addressing them. By synthesizing relevant research from both domestic and international perspectives, the article proposes practical recommendations, such as optimizing curriculum design, strengthening industry-university partnerships, and enhancing faculty qualifications. These suggestions are intended to provide a reference for the sustainable development of nursing programs in private higher education institutions.

Innovative Exploration of Health Management and Nursing Models: A Pharmacological Perspective on Comprehensive Strategies

2026-02-26T09:53:25+08:00

With the acceleration of global aging and the increasing burden of chronic diseases, innovative health management and nursing models have become increasingly important as they are key to improving the quality of medical services and patients’ quality of life. Currently, traditional nursing models face many challenges in meeting the diverse and complex needs of patients, making it urgent to introduce pharmacologically-based individualized medication management and individualized treatment techniques to achieve precise health management. Pharmacology, as an important bridge between drug development and clinical application, plays a core role not only in individualized medication management but also provides important support in drug efficacy assessment and safety management. This article reviews the current status of pharmacology in the innovation of health management and nursing models, exploring comprehensive nursing strategies based on pharmacology, including individualized medication management, drug efficacy assessment, and safety monitoring, to optimize treatment plans and thus enhance patient adherence and medication safety. Through a comprehensive discussion, this paper aims to provide theoretical support and practical guidance for the reform of future health management models, promote the scientific and refined development of nursing services, and subsequently drive overall improvements in the quality of medical care.

Innovative Models for Community Health Management and Home-Based Care

2026-02-26T09:53:24+08:00

With the combined impact of multiple factors, China’s population aging has entered a phase of rapid development. Among various elderly care models, community and home-based care under the “9073” model has become the mainstream demand, yet the service system faces prominent contradictions. Primary healthcare services suffer from imbalances in investment mechanisms, uneven equipment distribution, and shortages of human resources; the gap in home care personnel is widening, with high attrition rates driven by work pressure; there exists a mismatch between the personalized needs of the elderly and traditional standardized services; and inefficiencies persist throughout the entire service chain. To address these challenges, this paper proposes a three-dimensional innovation pathway encompassing service supply, collaborative mechanisms, and technological integration. Service supply: Establish a “community-home-family” interconnected network and tiered service packages combining “basic care + specialized support.” Collaborative mechanisms: Develop a multi-sectoral “medical-social-health-wellness” coordination model. Technological integration: Achieve intelligent care transformation through “smart devices + digital platforms.” Implementation of this innovative model requires three core pillars: policy (subsidies, pricing, regulation), resources (diverse integration), and talent (development, incentives, retention). The organic integration of these elements can effectively overcome supply bottlenecks, ensure high-quality development of community and home-based care, and help address the challenges of population aging.

Innovative Research on Community Diabetes Health Management Service Models Based on Smart Blood Glucose Monitoring Sensor Technology

2026-02-26T09:53:23+08:00

With the ongoing rise in population ageing and diabetes prevalence, the traditional hospital-centric disease management model is proving inadequate. This study focuses on innovative explorations in health management and care models, aiming to establish a novel diabetes health management service framework centered on smart blood glucose monitoring sensor technology, deeply integrating community and home settings. The paper first analyses opportunities and challenges in technological advancement and social services, highlighting the advantages of technologies such as continuous glucose monitoring in terms of data continuity and real-time capability, alongside cost, standardization, and talent bottlenecks encountered during community implementation. Subsequently, the paper systematically proposes an integrated “device-platform-service-talent” quadruple framework. It elaborates on how technological innovation can drive the development of elderly care services and industries, while exploring pathways for localizing internationally advanced concepts and technologies. Finally, the study proposes innovative strategies for talent development models and content to ensure the effective operation of this framework. This aims to cultivate a professional workforce with composite capabilities in technology, healthcare, and management, thereby providing theoretical reference and a practical blueprint for addressing chronic disease challenges and constructing a smart health and elderly care service system.

Integrating Global Innovations in Health and Geriatric Care: Bridging Advanced Concepts and Modern Practice

2026-02-26T09:53:22+08:00

Global aging necessitates a paradigm shift in elderly care from reactive treatment to proactive, integrated health management. This transition is enabled by a synergistic framework combining Internet of Things sensing for continuous monitoring, Artificial intelligence for predictive analytics and personalization, and assistive robotics for physical and psychosocial support. These technologies converge to create continuous, person-centered service chains within inclusive environments. However, significant challenges in technology reliability, data governance, social acceptance, commercial viability, and adaptive policy-ethics frameworks hinder implementation. Future evolution, therefore, requires agile governance, human-centered design, and cross-sector collaboration to build sustainable, trustworthy, and equitable intelligent care ecosystems that truly enhance the well-being and dignity of older adults.

Investigation and Analysis of the Current Situation and Influencing Factors of the Impact of Academic Pressure on Sleep Quality among College Students

2026-02-26T09:53:21+08:00

With the popularization of higher education and the intensification of academic competition, the academic pressure faced by college students is increasingly prominent, becoming one of the important factors affecting their physical and mental health. Studies have shown that there is a common problem of varying degrees of academic pressure among college students, which not only affects their academic performance but also has a negative impact on their sleep quality ^[1,2]. Sleep, as an important guarantee for the physical and mental health of college students, its decline in quality can lead to problems such as inattention, memory loss, and emotional fluctuations, thereby affecting learning efficiency and quality of life ^[1]. Under the background of the “Healthy China 2030” strategy, college student health promotion has been listed as a key content, and improving sleep quality, as an important part of a healthy lifestyle, is of strategic significance for improving the overall health level of college students. Therefore, systematically investigating the current situation of the impact of academic pressure on sleep quality among college students and deeply analyzing its influencing factors is of great value for formulating targeted intervention measures and optimizing the higher education environment.

Medication Compliance and Influencing Factors in Patients with Coronary Heart Disease

2026-02-26T09:53:20+08:00

Coronary heart disease (CHD) is one of the chronic cardiovascular diseases with a high disability rate, high morbidity, and high mortality worldwide. Long-term drug management is of great significance to control the disease, reduce the recurrence rate of cardiovascular events, and improve the quality of life of patients. However, the drug compliance of patients with CHD is generally not high, and the current situation is worrying. Studies have shown that there are differences in drug compliance among patients in different regions and different age groups. This study reviewed the concept of coronary heart disease, the concept and connotation of medication compliance, the analysis of medication compliance status of patients with coronary heart disease and the analysis of influencing factors, providing basis for clinical medical staff to quickly screen out high-risk patients with low compliance, and to carry out early and accurate intervention, in order to effectively improve patient medication compliance, improve long-term prognosis, reduce readmission rate and medical burden.

Pharmacological Research and Clinical Application Progress of Cnidium monnieri

2026-02-26T09:53:19+08:00

Cnidium monnieri (She Chuang Zi) is a traditional Chinese medicine with wide clinical applications. It is the dried mature fruit of the Cnidium monnieri (L.) Cuss. plant from the Apiaceae family. This article discusses the source, efficacy, and indications, usage and dosage, historical application, chemical constituents, pharmacological research, clinical applications, and adverse reactions of Cnidium monnieri.

Research on Digital Approaches to Improving the Quality of Elderly Care Services

2026-02-26T09:53:18+08:00

Background: The global aging population is increasing rapidly, creating an urgent demand for high-quality elderly care services. Traditional care models are often constrained by limited personnel, slow response times, and fragmented health information. Objective: This study aimed to evaluate the effectiveness of digital approaches—including Internet of Things monitoring, artificial intelligence demand-matching systems, and remote health management—in improving the quality of community-based elderly care services. Methods: A case study was conducted in a Shanghai community that implemented a digital elderly care project. Data were collected over 12 months post-implementation. Key performance indicators such as emergency response time, service matching accuracy, and rescue success rates were compared before and after the digital transformation using descriptive analysis. Results: The implementation of digital technologies led to significant improvements: health emergency warning response time decreased from 4 hours to 15 minutes; service demand matching accuracy increased from 65% to 92%; and the emergency rescue success rate improved from 70% to 100%. Additionally, annual hospitalization rates decreased, and service satisfaction scores rose. Conclusion: Digital approaches can effectively transform elderly care from a reactive to a proactive model, significantly enhancing service efficiency, health outcomes, and user satisfaction. However, challenges such as low digital literacy among the elderly and data security risks must be addressed. This research provides empirical evidence supporting the digital transformation of elderly care services.

Research on AI-Enabled Dynamic Adjustment and Curriculum System Reconstruction of Nursing Major in Private Universities

2026-02-26T09:53:17+08:00

Driven by both digital healthcare and educational intelligence, nursing majors in private universities are confronted with the core contradiction between talent cultivation and clinical needs. Taking the application of artificial intelligence (AI) technology as the entry point, this study analyzes the existing deficiencies in nursing education of private universities and combines practical cases from Yongzhou Vocational and Technical College, Shandong Xiehe College, etc. It constructs a “demand perception–intelligent decision-making–dynamic optimization” professional adjustment mechanism, proposes a “three-stage and three-dimensional” curriculum reconstruction system, and discusses the implementation guarantee paths. The research results show that with the empowerment of AI, the matching degree of nursing professional courses can be increased by 37%, and the excellent rate of students’ clinical decision-making ability can be improved by 42%, which provides a practical example for the digital transformation of nursing education in private universities.

Research on Public Welfare Models for Assisted Bathing Services for the Elderly in Healthy Aging: A Case Study of Policy Practices in Shanghai

2026-02-26T09:53:16+08:00

As China’s population continues to age, bathing assistance services for the elderly have become a critical issue affecting their quality of life and health well-being. Based on the concept of healthy aging, this paper conducts an in-depth analysis of the characteristics and patterns of current bathing assistance needs among the elderly through a questionnaire survey of 200 seniors. It further explores innovative service models from a public welfare perspective. Research indicates that bathing assistance needs among the elderly exhibit characteristics of universality, multi-level complexity, and diversity. Establishing a public welfare service system guided by the government, supported by social participation, and anchored in community infrastructure can effectively enhance the accessibility, professionalism, and sustainability of bathing assistance services. This approach represents a vital pathway toward achieving healthy aging objectives.

Research Trends on Curriculum Design of Clinical Nursing Based on the CBE Education Model

2026-02-26T09:53:15+08:00

Objective: To explore the research progress of clinical nursing curriculum design based on competency-based education (CBE), and provide a reference for nursing education reform in China. Methods: By systematically sorting out relevant domestic and foreign literature, this paper analyzes the theoretical foundation and core elements of the CBE model, compares the research status at home and abroad, and summarizes the challenges faced and corresponding countermeasures. Results: The CBE model is supported by theories such as constructivism, and its core elements include the construction of competency standards, the reconstruction of curriculum content, the innovation of teaching methods, and the reform of evaluation systems; foreign countries have established a mature system, while China is in the stage of localized exploration, with problems such as inconsistent competency standards; in response to the challenges faced, countermeasures such as establishing a collaborative mechanism are proposed. Conclusion: The CBE model is an important trend in nursing education reform. China needs to improve the dynamic adjustment mechanism of competency standards, strengthen resource construction, and promote the integration of information technology to cultivate high-quality nursing talents that meet clinical needs.

Research Progress on Subjective Well-Being in the Elderly

2026-02-26T09:53:14+08:00

With the acceleration of aging in our country, the study of subjective well-being of the elderly has increasingly become the focus of attention in the fields of psychology, sociology, and gerontology. Subjective well-being is an overall assessment of people’s quality of life based on self-defined standards and is an important predictor of mental health. This paper systematically sorts out the subjective well-being assessment tools of the elderly and the multidimensional influencing factors of the subjective well-being of the elderly, and comprehensively analyzes them from three core aspects: internal factors, social factors, and psychological factors, aiming to provide a theoretical basis and practical direction for improving the mental health of the elderly and promoting positive aging.

Review of Nursing Interns’ Willingness to Work in Geriatric Care

2026-02-26T09:53:13+08:00

Against the backdrop of an increasingly aging population in the international context, the demand for geriatric nursing services is growing day by day, and the demand for professional practitioners in the geriatric nursing industry is also constantly expanding. As a fresh reserve force for the future nursing staff, the willingness of intern nursing students to engage in geriatric nursing may affect the development of the geriatric nursing workforce. This study reviews the concept of the willingness of intern nursing students to engage in geriatric nursing, the current situation and influencing factors of their willingness to do so, analyzes the current situation and influencing factors of their willingness to engage in geriatric nursing, and summarizes and analyzes the core influencing factors, in order to enhance the willingness of intern nursing students to engage in the geriatric nursing industry through individualized teaching It provides a theoretical basis for expanding the workforce of the geriatric nursing industry.

Risk Factors for Colorectal Cancer and DNA Methylation Mechanisms

2026-02-26T09:53:12+08:00

Colorectal cancer is one of the most prevalent and deadliest malignant tumors worldwide. Its development is a complex, multifactorial, and multi-stage process, influenced by both genetic factors and environmental factors such as lifestyle, diet, and epigenetic modifications. This article reviews the epidemiological status of colorectal cancer, the relationship between lifestyle factors (including sedentary lifestyle and smoking), dietary habits, and disease risk, and explores the role of DNA methylation in tumor susceptibility and its interaction with environmental factors, aiming to provide a reference for the prevention and early intervention of colorectal cancer.

Discharge Readiness among Elderly Stroke Patients and Their Primary Caregivers: A Survey Analysis and Validation of Intervention Program Effectiveness

2026-02-26T09:53:11+08:00

Objective: To investigate the current status of discharge readiness among elderly stroke patients and their primary caregivers, and to develop and validate an intervention program for discharge readiness in this population. Methods: A cross-sectional study assessed the level of discharge readiness among elderly stroke patients and their primary caregivers, analyzing influencing factors. Based on findings, an intervention program was developed, integrating literature and expert input. A randomized controlled trial validated its efficacy, enrolling 138 elderly stroke patients and their caregivers (intervention group = 69; control group = 69) from two Grade A tertiary hospitals in northern China between January and June 2025. The intervention group received the developed program, while the control group received routine discharge guidance. Outcomes were assessed using the Discharge Readiness Scale, Caregiver Readiness Scale, and Transition Adaptation Scale, with data collected pre-discharge and at 1 and 3 months post-discharge. Results: On the day prior to discharge, the intervention group demonstrated significantly higher scores than the control group in patient discharge readiness, caregiver readiness, total self-management behavior scores, and satisfaction (P < 0.05). Conclusion: This intervention program, designed for elderly stroke patients and their primary caregivers, effectively enhances discharge readiness, post-discharge adaptation capacity, and self-management behaviors.

Study on the Impact of Functional Foods on the Nutritional Health Status of the Elderly

2026-02-26T09:53:10+08:00

As China’s population ages, health issues among the elderly have gained increasing attention. Functional foods, which meet basic nutritional requirements while offering specific health benefits for certain populations, play a significant role in research on the health and maintenance of the elderly. This paper focuses on the physiological characteristics and health needs of older adults, systematically reviewing the current state of functional food research, its core active ingredients, and their mechanisms of action. It aims to provide theoretical support and practical guidance for advancing functional foods that better serve the health of the elderly and contribute to the implementation of the active aging strategy.

The Impact of Artificial Intelligence Literacy on Teaching Innovation Behaviors among Private University Teachers in Shanghai, China

2026-02-26T09:53:09+08:00

This study investigates the cohort of private university educators in Shanghai, China, with the objective of elucidating the influence mechanism of artificial intelligence (AI) literacy on teaching innovation behavior. Through a questionnaire survey, 362 valid responses were collected, and statistical analysis methods were employed to assess the current status and variations in teachers’ AI literacy and teaching innovation behavior. The findings reveal that the overall levels of AI literacy and teaching innovation behavior among private university educators in Shanghai exceed the median threshold. Notably, significant differences in both AI literacy and teaching innovation behavior were observed across background variables, including gender and teaching experience. Furthermore, AI literacy exerts a significant positive influence on teaching innovation behavior. Drawing from these results, this study proposes targeted recommendations, offering both theoretical reference and practical value for enhancing the AI literacy of private university educators and advancing teaching practice reforms.

Video Games in Dementia Health Management: A Scoping Review of Current Evidence, Challenges, and Future Directions

2026-02-26T09:53:08+08:00

Dementia is a clinical syndrome caused by pathological changes in the brain. It is primarily characterized by cognitive decline, behavioral disturbances, and personality changes, all of which severely impair patients’ quality of life. As global populations age and the prevalence of dementia rises, the demand for long-term care has intensified. This situation places a significant physical and psychological burden on families and creates substantial socioeconomic pressure, establishing dementia as an urgent public health priority. In response, video games have emerged as a valuable non-pharmacological tool in dementia health management. Recognized for their low cost and non-invasiveness, they demonstrate considerable potential in improving cognitive function, early screening, alleviating behavioral symptoms, and health education. This article systematically reviews the existing evidence for video games in dementia health management, examines challenges such as clinical standardization, senior adaptability, and technology integration, and proposes future directions. These include establishing standardized frameworks, optimizing game design, and expanding application scenarios. The aim is to provide a reference for integrating video games into the holistic and standardized management of dementia.

The Effect of Multidimensional Health Care Model on Cognitive Function and Quality of Life of Elderly Patients with Mild Cognitive Impairment

2026-02-26T09:53:07+08:00

This study investigates the intervention effects of a multidimensional wellness model on cognitive function and quality of life in elderly patients with mild cognitive impairment (MCI). Through a randomized controlled trial, 60 elderly MCI patients from Yikang Nursing Home in Shanghai were evenly divided into an intervention group and a control group, receiving either the multidimensional wellness model or routine management for a 3-month intervention period. Results demonstrated significant improvements in both cognitive function and quality of life in the intervention group. The MMSE total score increased by 16.2%, with orientation ability, memory, attention/calculation, recall capacity, and language improving by 22.7%, 18.8%, 20.4%, 36.8%, and 3.0%, respectively. Activities of daily living (ADL) scores rose by 37.5%, the completion rate of instrumental activities of daily living increased from 28% to 65%, and the incidence of falls decreased by 54%. The study indicates that the multidimensional wellness model effectively enhances cognitive function and quality of life in elderly MCI patients, demonstrating significant clinical value for widespread application.

Research on Elderly Care Talents’ Willingness to Work and Its Influencing Factors

2026-03-10T08:39:01+08:00

With the intensification of global population aging, the demand for elderly care talents is increasing day by day, but this field is facing a severe shortage of talent. Employment intention is a key precursor variable in predicting talent selection and retention. This paper aims to systematically review the research on the willingness of elderly care talents (including nurses, nursing staff, rehabilitators, etc.) and their influencing factors at home and abroad. The review found that the intention to work is complexly affected by multiple factors such as personal background, professional cognition, job characteristics, organizational environment, and social policies. Most of the existing research is based on the framework of social cognition career theory and planned behavior theory. Future research should focus more on the driving role of positive psychological capital, explore cross-cultural comparisons, and strengthen longitudinal tracking of intervention effectiveness.

Research on Technological Innovation and Clinical Application of Intelligent Non-Invasive Blood Glucose Monitoring System: A Case Study of “Hengtang Zhihang”

2026-03-10T08:43:05+08:00

With the global prevalence of diabetes escalating, traditional blood glucose monitoring technologies are constrained by inadequate precision, discontinuous monitoring, and inefficient clinical collaboration. This paper focuses on the “Hengtang Zhihang” intelligent non-invasive blood glucose management system, which is developed based on China’s pioneering third-generation glucose sensing technology. It systematically analyzes the system’s integrated solution covering hardware, software, and clinical services, and comprehensively compares its advantages over traditional methods such as capillary blood glucose monitoring and conventional continuous glucose monitoring. Clinical application data from a tertiary hospital in Shanghai verifies that the system significantly reduces diabetes-related complications and improves the operational efficiency of medical institutions. Additionally, this paper explores the system’s market-oriented operation path and technological iteration direction. The research findings provide valuable references for promoting the innovation and development of diabetes monitoring technology and advancing the localization of high-end medical devices in China.

Exploration of Training Models for Elderly Care Service Talents

2026-03-10T08:46:08+08:00

This paper explores diversified training models and development pathways for elderly care service talents in China. Addressing the challenges of an aging population and a shortage of qualified professionals, the training of elderly care service talents should adhere to the principle of categorized and stratified approaches, promoting specialized and standardized training in urban areas, and localized and practical empowerment in rural areas. Against the backdrop of integrated medical-care and health-care convergence, talents are required to possess comprehensive literacy integrating “medical care, health maintenance, rehabilitation, nursing, and education.” Higher education institutions should break down disciplinary barriers and construct interdisciplinary curriculum systems. Furthermore, the philosophy of elderly care is shifting from “passive support” to “active enjoyment,” necessitating an enhancement of humanistic care and cultural awareness in talent training. Smart elderly care and international cooperation demand that talents possess technological literacy and a global perspective. This paper concludes by proposing measures to build a modernized and systematic new talent training framework and identifies future research directions.

Application Research on Intelligent Screening System for Adolescent Scoliosis with Orientation of School Health Monitoring System Optimization

2026-03-10T08:49:45+08:00

To address the core challenges of current adolescent scoliosis screening in school health monitoring systems—low manual efficiency, high missed diagnosis rates, and incomplete closed-loop monitoring—this study aims to empower school health monitoring systems with intelligent screening solutions. We developed an AI-powered scoliosis screening system integrating image recognition and 3D posture scanning technologies, piloting it in three middle schools to explore practical implementation pathways. Through analyzing the system’s technical framework (“data collection → intelligent analysis → result feedback → intervention tracking”) and standardized workflow (“semester-wide screening → focused follow-up → record updates”), we validated system optimization using pilot data: average screening efficiency per grade level increased by 40%, missed diagnosis rates dropped below 3%, and intervention follow-up rates rose from 35% to 82%. The study also identified challenges, including high hardware costs, data compatibility issues, and limited parental awareness, proposing targeted strategies like “tiered equipment configuration,” “standardized interface protocols,” and “home-school collaborative education.” These findings provide practical references for improving health monitoring systems in primary and secondary schools, while offering theoretical support for integrating smart technologies with school public health services.

The Mechanism of Balanced Relationships in Painting Therapy Promoting Self-Reconstruction for Older Adults: A Theoretical Review

2026-03-10T08:52:27+08:00

This theoretical review proposes a novel framework elucidating how balanced power relationships in painting therapy facilitate self-reconstruction among older adults. Central to this framework is the activation of metacognition—comprising knowledge, experience, and monitoring—through three therapeutic stages: Externalization, Dialogue, and Reconstruction. We argue that traditional authoritative therapist roles inhibit older adults’ creative autonomy and reflective capacity, whereas collaborative, balanced relationships promote a shift from first-person emotional immersion to a third-person observational stance, thereby enabling schema revision. The core mechanism posits that power balance activates metacognitive processes, which in turn mediate positive therapeutic outcomes. Practical implications are substantial, necessitating a shift in therapeutic focus from technical instruction to relationship management, and corresponding adjustments in counselor roles, intervention techniques, and self-cultivation. This review integrates neuroscientific evidence to support the proposed psychological mechanisms and offers actionable guidance for enhancing geriatric mental health services.

Transformation and High-Quality Development Pathways for China’s Elderly Care System: Challenges and Strategic Solutions

2026-03-10T08:57:24+08:00

The transformation of China’s elderly care system is a critical response to the country’s rapidly ageing population. The system has evolved from a traditional model based on family care and welfare support to a more industrialized and integrated framework. This shift is necessary to address the growing demand for diverse, high-quality care services, especially in rural areas. Despite progress, the system faces significant challenges, including fragmented service standards, a shortage of skilled professionals, limited social capital investment, and mismatches between supply and demand. This review discusses the strategic pathways required to overcome these obstacles, focusing on four key areas: (1) the development of a unified care-industry standards framework to improve service quality and efficiency; (2) the establishment of comprehensive talent development programs to address workforce shortages; (3) the integration of digital technologies to enhance service delivery and accessibility; and (4) the promotion of a collaborative governance model that includes the government, market, and society. These measures aim to align service supply with the evolving needs of the elderly, while fostering the growth of the silver economy. Looking ahead, the Chinese government’s policy objectives include the establishment of a nationwide elderly care service network by 2029 and the creation of a fully developed, high-quality system by 2035. This comprehensive approach seeks to ensure the sustainable growth of elderly care services, enhance the quality of life for elderly citizens, and contribute to addressing the challenges posed by global demographic change.

Research on the Driving Factors of China’s Silver Hair Economy Scale Growth

2026-03-10T09:02:06+08:00

Against the backdrop of accelerating population aging in China, the silver economy has become a new strong driving force for the development of the national economy. The silver economy refers to the economic consumption ability of people aged 60 and above. This study uses theoretical analysis methods to investigate and study the “silver hair industry” (elderly consumption industry) in China, exploring the internal mechanisms of the development of China’s silver hair industry from the perspectives of population, policies, demand, and supply. Research has found that the number of elderly people (≥60 years old) is a favorable consumer base for industry development. Government policy orientation is a systematic guarantee for the development of industries. Market demand is to enhance and drive industry development, and provide strong support for industry development. The combined effect of four factors can increase the market size of the silver hair industry from less than 2 trillion yuan to over 7 trillion yuan. This conclusion will provide a necessary basis for the high-quality development of China’s “silver economy.”

Exploring Industry-Education Integration in Health and Senior Care in the Era of Technological Disruption: Opportunities, Challenges, and Pathways

2026-03-10T09:05:04+08:00

With the rapid development of new-generation information technologies such as artificial intelligence, big data, and the Internet of Things, the health and elderly care service sector is undergoing a profound digital and intelligent transformation. While this technological wave injects new impetus into industrial upgrading, it also reveals a significant gap between traditional talent cultivation models and the demands of emerging industries. This article, from the perspective of industry-education integration, deeply analyzes the new opportunities and challenges brought about by technological development to the health and elderly care service sector. The core of the article lies in exploring effective paths to address these challenges through deep industry-education integration, and proposes specific strategies such as building a “government-industry-enterprise-school” collaborative talent cultivation community, a co-construction and sharing type of practical training base, and an innovative project-based teaching model, with the aim of providing theoretical references and practical guidance for cultivating high-quality, compound talents that meet the future demands of the health and elderly care service sector.

Mongolian Mind-Body Interactive Therapy for Pulmonary Sarcoidosis: A Prospective Single-Arm Pilot Trial

2026-03-10T09:14:04+08:00

Pulmonary nodules represent a prevalent pulmonary lesion with a rising clinical detection rate, and a subset may undergo malignant transformation to lung cancer. Even benign nodules frequently elicit anxiety, sleep disturbances, and other adverse outcomes. This study aimed to investigate the effects of Mongolian Mind-Body Interactive Therapy (MMBIT) on CT imaging and clinical characteristics of pulmonary nodules, and quality of life in patients with pulmonary sarcoidosis. A total of 36 patients with pulmonary sarcoidosis admitted to the Outpatient Department of Psychosomatic Medicine, Inner Mongolia International Mongolian Medicine Hospital, between July 2021 and July 2022 were enrolled. All patients received a consecutive 21-day MMBIT intervention. By comparing the data before and after treatment, the maximum diameter of pulmonary nodules decreased from 6.8 ± 2.3 mm to 5.2 ± 1.8 mm (P < 0.001), the proportion of nodules with smooth margins increased from 27.78% to 50.00% (P = 0.034), while no significant alterations were observed in nodule count or density (P > 0.05); The concentrations of respiratory system tumor markers ProGRP, NSE, and FER significantly decreased after treatment (P < 0.05), while the concentrations of SCCA, CYFRA21-1, and CEA did not change significantly. The total PSQI score reduced from 7.2 ± 2.1 to 5.8 ± 1.9 (P = 0.003), and sleep duration extended from 6.1 ± 1.2 h to 6.8 ± 1.0 h (P = 0.006). The SF-36 scale was significantly elevated compared with pre-intervention levels (P < 0.05). Emotion regulation self-efficacy was strengthened, with scores of all three dimensions in the SRESE significantly increased (P < 0.001). In conclusion, MMBIT can significantly mitigate the imaging characteristics associated with the malignant potential of pulmonary nodules, modulate relevant tumor marker levels, and improve autonomic nervous function in patients with pulmonary sarcoidosis, while concurrently enhancing their sleep quality, quality of life, and emotion regulation self-efficacy. Thus, it emerges as a safe and effective adjuvant therapeutic strategy for the comprehensive management of patients with pulmonary sarcoidosis.

Effectiveness of a Health Belief Model-Based Intervention in Preventing Mild Cognitive Impairment in Community-Dwelling Older Adults: A Randomized Controlled Trial

2026-03-10T09:17:37+08:00

Global population aging is leading to a significant increase in cognitive disorders. Mild cognitive impairment (MCI) is a critical transitional stage between normal cognitive aging and dementia, with approximately 10–15% of individuals progressing to dementia annually. The Health Belief Model (HBM) is an established framework for understanding health behavior change, but its application in the primary prevention of MCI lacks evidence from rigorous randomized controlled trials (RCTs). This study evaluated the efficacy of a comprehensive HBM-based intervention in promoting cognitive health behaviors, delaying cognitive decline, and improving quality of life among community-dwelling older adults, and explored the mediating roles of self-efficacy and perceived benefits. A 12-month, single-blind, parallel-group RCT was conducted. 240 cognitively normal adults aged ≥60 were recruited and randomly assigned to an intervention group (n = 120) or an active control group (n = 120). The intervention group received a 6-month “Health Belief Empowerment for Brain Health” program targeting core HBM constructs, while the control group received standardized routine health education. Outcomes were assessed at baseline (T0), post-intervention (T1), and 6-month follow-up (T2). Data were analyzed using Generalized Estimating Equations and bootstrap mediation analysis. The retention rate was 94.2% (n = 226). The intervention group showed statistically significant improvements across all outcomes at both T1 and T2 (all P < 0.001). Specifically, they demonstrated substantially higher health behavior scores (T2: 108.7 ± 11.2 vs 87.5 ± 13.0) and maintained stable cognitive function (MoCA T2: 26.9 ± 1.3 vs 25.8 ± 1.5). All HBM constructs, particularly self-efficacy and perceived benefits, showed significant enhancement. Mediation analysis revealed these two constructs jointly accounted for 58.7% of the total intervention effect on sustained health behavior change. This first RCT robustly demonstrates that a systematically developed HBM-based community intervention is an effective strategy for primary prevention of MCI. Its success is predominantly driven by enhancing self-efficacy and perceived benefits, supporting the integration of such theory-driven programs into public health strategies for healthy cognitive aging.

A Review of the Progress in the Application of Board Games in Nursing Education

2026-03-10T09:21:12+08:00

Board games are emerging teaching tools that show good application effects in nursing education. This paper reviews the concept and development of board games, teaching design ideas, and the application effect in nursing teaching, aiming to provide a reference for the further development of board games in nursing education.

A Study on the Development Path of Smart Retirement Based on SWOT-PEST Analysis: The Integration Strategy of Technology Empowerment and Social Service

2026-03-10T09:25:48+08:00

As China’s aging population continues to deepen, the traditional old-age service model is difficult to meet the growing, diversified, and professional needs. As a new paradigm of technology empowerment and social service integration, smart old-age has become a key path to meet the challenges of aging. This paper uses the SWOT-PEST analysis model to systematically analyze the internal advantages and disadvantages, external opportunities and challenges of China’s smart old-age development from four dimensions: politics, economy, society, and technology. The study found that smart pension has significant advantages in improving service efficiency and optimizing resource allocation, but it also faces internal shortcomings such as insufficient aging and unclear business models. At the same time, policy dividends and technological development provide good opportunities for smart pension, while the digital divide and lagging ethical supervision constitute the main external challenges. On this basis, this paper constructs SO, ST, WO, and WT strategic combinations, and puts forward development paths such as integrated platform construction, aging design promotion, government-enterprise coordination and standardization promotion, in order to provide theoretical references and practical guidance for the perfection and innovation of China’s intelligent pension system.

Innovative Applications and Model Exploration of Intelligent Technologies in Chronic Disease Care

2026-03-10T09:29:52+08:00

With the increasing global prevalence of chronic diseases, traditional care models struggle to meet the demand for personalized care. Intelligent nursing technologies, including smart devices, remote care platforms, and artificial intelligence (AI), are revolutionizing chronic disease management by enhancing care quality, improving patient self-management, and alleviating healthcare resource pressure. This review explores the application and innovative models of intelligent technologies in chronic disease care, focusing on their roles in disease monitoring, remote intervention, and personalized care. The review also discusses the challenges and limitations in practical implementations, including issues of technology acceptance, data privacy, and security. Finally, we provide an outlook on the future directions of intelligent nursing technologies, emphasizing their potential in reshaping chronic disease care models globally. This paper offers theoretical support for the development of innovative chronic disease care models and provides practical insights for nursing practitioners, policymakers, and technology developers.

Historical Evolution from “Heart Wind” to “Wind Attacking Heart”

2026-03-10T09:32:05+08:00

“Heart Wind” disease and its theory derive from Huangdi Neijing (Huangdi’s Internal Classic), belonging to the wind disease of zang-fu organs. “Heart Wind” connotation has experienced rich changes from “Heart Wind” to “Wind Attacking Heart,” the integration of “Heart Wind” and “Wind Attacking Heart,” the integration of various types of “Heart Wind” diseases, the evolution from the certain kind of “Heart Wind” disease to “Wind Attacking Heart” diseases, and finally the completion of the “Heart Wind” diseases, within the descriptions of successive generations of medical practitioners. The final evolution of “Heart Wind” diseases was completed with the separation of “Heart Disease” and “Wind Disease.” This is closely related to the compilation habits of ancient physicians and the multiple interpretations of medical theories. At the same time, the ambiguity and broad classification of ancient diseases are also important reasons for the difficulty in identifying and understanding the diseases.

Innovative Exploration of Tai Chi in Health Management and Care Models

2026-03-10T09:47:05+08:00

This study focuses on the application value of Tai Chi in the field of health management and care, and systematically analyzes its core advantages and innovative application scenarios. With the core philosophy of “overcoming rigidity with softness and balancing yin and yang,” Tai Chi exerts a synergistic regulatory effect on three dimensions: physical health, mental health, and social adaptability, which is highly aligned with the modern health management concept of “prevention is better than treatment.” Empowering health management and care models through Tai Chi promotes the transformation of care models from “passive medical treatment” to “active health maintenance,” facilitates the dissemination of traditional Chinese culture, and provides a new solution for the innovation of health management and care models.

Investigation on the Current Situation of Sports Injuries among College Students in a University in Shanghai

2026-03-10T09:50:16+08:00

Objective: To grasp the current situation of sports injuries among college students in a university in Shanghai, analyze the relevant influencing factors, and propose scientific and effective prevention strategies, so as to provide data support and decision-making basis for college sports health management. Methods: A stratified cluster sampling method was used to select 518 college students from a university in Shanghai as the research subjects. Information related to sports injuries was collected through a questionnaire survey, and data processing was performed using descriptive statistical analysis, chi-square test, logistic regression analysis, and other methods. Results: The incidence of sports injuries among the surveyed subjects was 62.4% (323/518). Common types of injuries included sprains (72.76%), muscle strains (56.35%), and dislocations (36.22%). In terms of injury severity, moderate injuries accounted for 44.74%, mild injuries for 39.1%, and severe injuries for 16.17%. Chi-square test showed that there was a significant correlation between the level of understanding of scientific exercise (χ² = 12.87, P < 0.05), grade level (χ² = 13.92, P < 0.05), and exercise frequency (χ² = 10.45, P < 0.05) and the incidence of sports injuries. Further logistic regression analysis showed that for each 1-unit increase in grade, the risk of sports injuries increased by 1.35 times; for each 1-unit increase in exercise frequency, the risk of sports injuries increased by 1.50 times; for each 1-unit increase in the level of understanding of scientific exercise, the risk of sports injuries decreased by 0.60 times. Conclusion: The incidence of sports injuries among college students in a university in Shanghai is relatively high, and the types of injuries are diverse. The level of understanding of scientific exercise, grade level, and exercise frequency are important influencing factors of sports injuries. Universities, society, and students should cooperate. Universities need to strengthen sports safety education and optimize sports training plans; society should create a good sports safety atmosphere; students should enhance their self-protection awareness to reduce the risk of sports injuries and promote healthy exercise among college students.

Study on the System Planning and Realization Path of the Life Orientation of the Elderly in China

2026-03-10T09:54:58+08:00

Based on the background of China’s deep aging society, this paper discusses how the elderly can achieve a high quality of life through scientific and reasonable life orientation and systematic planning, and constructs an analytical framework of elderly life orientation from five dimensions: residential environment, health management, spiritual needs, capital assets, and service selection. By analyzing the status quo of the aged society, the aging standard, and the structural dilemma of the one-child family, this paper points out that the aged should realize the transformation from passive old-age care to active planning through the health management path of “cognition-mastery-application.” This study provides a theoretical basis and practical reference for the elderly to construct a systematic, hierarchical, and personalized future life framework, and helps to promote the realization of the goal of “a sense of security, happiness, and worthiness for the elderly.”

Review of Advances in Sedentary Behavior in Patients with Chronic Heart Failure

2026-03-10T09:58:29+08:00

This paper systematically reviews the concept and assessment methods of sedentary behavior, summarizes the current status of sedentary behavior in patients with chronic heart failure (CHF) and its impact on adverse health outcomes, and synthesizes the potential mechanisms linking sedentary behavior to CHF as well as current intervention strategies. It aims to provide a reference for future research on sedentary behavior in CHF patients in China.

Analysis of the Current Awareness and Influencing Factors of Occupational Exposure to Sharp Instrument Injuries among Nursing Students During Hospital Internships

2026-03-10T10:01:49+08:00

Through a cross-sectional survey, this study analyzes the current status of occupational exposure to sharp injuries among hospital nursing interns and further investigates its influencing factors. The findings aim to provide data and theoretical evidence for studying the situation and contributing factors of sharp injury exposure among nursing interns in clinical practice, and for reducing the incidence of such exposures. Nursing students from the 21st grade who are currently interning in Shanghai were selected as the survey participants. A comprehensive survey scale on sharp instrument injury experiences was used as the measurement tool for the cross-sectional survey. Quantitative data were described using mean ± standard deviation, while categorical data were described using frequency and percentage. With the total score of the sharp instrument injury experience survey as the dependent variable and general information as the independent variable, influence factor analysis was conducted. Analysis of variance (ANOVA) was used for univariate analysis, and linear regression analysis was used for multivariate analysis. The results of ANOVA showed significant differences (P < 0.05) among university academic performance, interning hospital, and the relationship with supervising teachers. Linear regression analysis revealed that university academic performance, interning hospital, and relationship with supervising teachers had significant influences (P < 0.05) on the awareness of occupational exposure to sharp instrument injuries. This study reveals that the incidence of occupational exposure to sharp injuries among 2021-grade nursing interns in Shanghai was lower than expected. The overall situation is not satisfactory. The three factors of university academic performance, interning hospital, and relationship with supervising teachers have significant impacts on the occurrence of sharp injury exposures.

Comparative Study on the Effects of Several Hepatoprotective Drugs on Acute Liver Injury in Mice

2026-03-10T10:04:36+08:00

Objective: To investigate the protective effects of Gantaile capsule, ammonium glycyrrhizinate injection, and Ginseng Jianpi pill on CCl₄-induced acute liver injury in mice. Methods: Forty-eight mice were randomly divided into blank group, model group (15% CCl₄, 10 ml/kg), Gantaile group (150 mg/kg), ammonium glycyrrhizinate group (10 ml/kg), Ginseng Jianpi pill group (150 mg/kg), and positive control group (biphenyl diester, 150 mg/kg), with 8 mice in each group. Each administration group was given the corresponding dose of drugs by gavage, and the blank and model groups were given the corresponding volume of normal saline by gavage, once a day for 14 hours. Two hours after the last administration, the normal group was intraperitoneally injected with normal saline, and the other groups were intraperitoneally injected with CCl₄ peanut oil solution. 24 hours later, blood was collected from the eyeballs to measure the serum levels of alanine aminotransferase, aspartate aminotransferase, tumor necrosis factor-alpha, and interleukin-6. The liver tissue was taken out to calculate the liver index. The morphological changes of the liver tissue and the degree of liver injury were observed by HE staining, and the activities of superoxide dismutase and malondialdehyde in the liver tissue were detected. Results: Several hepatoprotective drugs can significantly reduce CCl₄-induced acute liver injury in mice. Gantaile capsule has the most obvious effect, followed by ammonium glycyrrhizinate injection, and Ginseng Jianpi pill is the last. Conclusion: This experiment found that Gantaile capsules acted quickly, significantly alleviating liver injury. Ammonium glycyrrhizinate injection demonstrated the best anti-inflammatory effect. Compared to the first two drugs, Ginseng Jianpi pills showed less ideal effects, serving only as an auxiliary treatment.

Research on Innovation Paths of Talent Training in Universities under Industry-Education Integration Transformation: Practical Exploration Based on Triple Identities

2026-03-10T10:07:04+08:00

Against the strategic background of universities transforming into industry-education integration-oriented institutions, business management is shifting from a control-oriented model to an empowerment-oriented model ^[1]. At the time, the core contradiction of talent training has shifted from “scale supply” to “quality adaptation.” Based on the triple identities of university counselor, industrial college teaching secretary, and administrative staff, this paper analyzes five key problems in traditional industry-education integration: outdated teaching materials, superficial practical teaching, insufficient teacher collaboration, supply-demand mismatch, and students’ cognitive biases. Corresponding innovation paths are proposed from five dimensions: content renovation, practical reconstruction, teaching optimization, docking upgrading, and literacy cultivation. A closed-loop “student-teaching-administration” system is built by leveraging the triple identities’ collaborative advantages, providing practical references for effective talent training.

“Art Guards Memory”: Application Mechanism and Support Model Construction of Painting Therapy in Community-Dwelling Older Adults with Mild Cognitive Impairment

2026-03-10T10:10:32+08:00

With the acceleration of global population aging, mild cognitive impairment (MCI) has become a critical public health issue. As a non-pharmacological intervention, painting therapy exhibits unique advantages for community-dwelling older adults with MCI due to its non-verbal nature and multi-dimensional cognitive stimulation. This study systematically reviews the evidence base for painting therapy in this population and analyzes its mechanisms of action. These include neural mechanisms (e.g., regulating functional connectivity in brain networks like the default mode network to enhance neuroplasticity), cognitive mechanisms (activating multiple cognitive domains to build cognitive reserve), and psychosocial mechanisms (providing emotional expression and social interaction). Furthermore, the study classifies mainstream intervention models and compares their applicability in community settings. It also summarizes current limitations in research (e.g., small sample sizes) and practice (e.g., lack of professionals). Finally, based on a “hospital-community-family” framework, this study constructs the “Art Guards Memory” community support model. This model includes core components such as screening, intervention programs, talent support, and evaluation systems, alongside strategies for policy, resources, and sustained participation. The model aims to provide a scientific, standardized framework for applying painting therapy in community MCI intervention.

Research on the Transformation Path of China’s Elderly Care Industry Driven by Cross-Border Healthcare under the National Strategy: An Exploration of Institutional Opening-Up Based on Japan’s Experience

2026-03-10T10:15:12+08:00

Against the backdrop of a “super-aged” society, China’s elderly care industry faces multiple challenges, including the absence of standards, shortages of professional personnel, and a narrow range of services. The state’s promotion of a high level of opening-up, especially the strategy centered on institutional opening-up, offers a historic opportunity to break through the bottlenecks of the elderly care industry by developing cross-border healthcare. Through a systematic comparison of the current status of the elderly care industry in China and Japan, this paper focuses on the institutional innovation and practices in the field of cross-border healthcare in the Lingang New Area of Shanghai. It reveals the bottlenecks currently faced by cross-border healthcare development in Lingang, including restrictions on cross-border data flows, an underdeveloped payment system, and an insufficient supply of specialized professionals^[1]. The paper further demonstrates how cross-border healthcare can serve as a bridge connecting Japan’s advanced experience with China’s vast market. The study argues that, driven by cross-border healthcare, the systemic introduction and re-innovation of “technology–payment–talent–standards,” along with targeted recommendations for Lingang’s practical problems, can effectively promote the transformation of China’s elderly care industry toward high quality, intelligence, and internationalization, ultimately achieving a win–win outcome in terms of people’s livelihood improvement and industrial development^[2].

The “Natural” Spiritual State of Existence in Zhuangzi’s Philosophy: Implications for Health Management Theory

2026-03-10T10:18:21+08:00

The spiritual state of “naturalness” in Zhuangzi’s philosophy offers profound insights for modern health management. From a health management perspective, this paper argues that Zhuangzi’s “discourse on usefulness and uselessness” helps transcend narrow perceptions of health’s “usefulness,” guiding the establishment of a multidimensional, flexible health risk assessment system that aligns with the Health Belief Model. His philosophy of “equating all things” advocates respecting individual differences, laying the foundation for building an inclusive health promotion environment. The state of “carefree wandering” and cultivation practices like “mental fasting” and “forgetting oneself while sitting” align with self-determination theory and mindfulness training, empowering individuals to achieve self-directed health management. From cognitive and environmental dimensions to practical application, Zhuangzi’s philosophy contributes vital wisdom for enhancing holistic health.