Aim: This study aimed to explore the factors associated with attitudes towards the older adults among nursing students, to clarify the impact of empathy and end‐of‐life care on the attitude of the older adults, and to provide a basis for the follow‐up of education courses related to older adults care and the training of older adults care talents.Design: A cross‐sectional study.Methods: A cross‐sectional survey on nursing students' knowledge and attitudes towards older adults was conducted from 24 December 2020–24 February 2021. The Chinese versions of the end‐of‐life Attitudes Scale, Jefferson Empathy Scale‐Nursing Version and Kogan Attitudes Scale for the Elderly were used for this cross‐sectional study. We used the purposive sampling method to conduct a questionnaire survey on nursing students at Heilongjiang Nursing College (n = 371, effective response rate: 64.52%).Results: The average score of FATCOD‐B was 99.04 (7.71), and the score of C‐JSE‐HPS was 100.67 (12.90). The total average score of nursing students' attitudes towards older adults was 139.91 (15.79). The hierarchical regression analysis showed that education (β = −.125, p = .025) and personal experience (β = −.132, p = .008) correlated negatively with attitudes towards the older adults, while the end‐of‐life care (β = .140, p = .013) and empathy (β = .285, p < .001) correlated positively with attitudes towards the older adults.Conclusions: Religion, end‐of‐life care and empathy were positively correlated with nursing students' attitudes towards older adults. It is necessary to set up end‐of‐life care, empathy and education related to the older adults, and combine a variety of training forms, increasing humanistic assessments and reducing the employment pressure on nursing students by relevant departments can improve their attitudes towards the older adults.

Background: Internet medical care has been advancing steadily, especially during the coronavirus disease 2019 pandemic, the development momentum of Internet medical care in China is more vigorous. This study aimed to explore the factors associated with using the Internet for medical information, to examine the popularisation and implementation of Internet medical treatment and feasible strategies, and promote the further development of Internet medical treatment. Methods: A cross-sectional study was conducted on 408 medical patients who had used online medical services. The one-way analysis of variance or independent samples t-test was used to compare the differences in the influence of demographic characteristics on behavioural intentions of different people seeking medical care. Pearson’s correlation was used to evaluate the correlation between different measurement variables. A mediation regression analysis was used to explore the mediating role of trust in Internet medical care. Results: The difference in the influence of Internet medical use frequency on the behavioural intention of different participants was statistically significant (F = 3.311, P = 0.038). Among the influencing factors, personal trust propensity (r = 0.387, P < 0.01), website credibility (r = 0.662, P < 0.01), hospital credibility (r = 0.629, P < 0.01), doctor’s credibility (r = 0.746, P < 0.01), and online patient trust (r = 0.874, P < 0.01) were positively correlated with patients’ behavioural intentions. In the analysis of intermediary factors, the total effect of the credibility of the diagnosis and treatment website on the behavioural intention of patients was 0.344. The total effect of the credibility of the diagnosis and treatment hospital on the behavioural intention of patients was 0.312; the total effect of the service doctor’s credibility on the patient’s behavioural intention was 0.385; the total effect of the personal trust tendency on the patient’s behavioural intention was 0.296. Conclusions: This study found defects in various factors that produce distrust in Internet medical treatment. It also reveals the positive effect of trust factors on the development and implementation of Internet medical treatment and provides some ideas for improving the use of Internet medical treatment by the masses.

Aim: Attitudes toward older persons could affect services that are provided to them and change the value of the care they receive. The attitude of nursing students toward older persons is very important as it will affect their care of older patients in future. However, in China, the attitude of higher vocational nursing students toward older persons has not been widely studied. The purpose of this study is to explore the attitudes and factors toward older people among nursing students in higher vocational colleges in Heilongjiang Province.Design: A cross‐sectional study.Methods: A cross‐sectional study was conducted using cluster sampling. A total of 1106 nursing students from two higher vocational colleges in Heilongjiang Province participated. Multiple linear regression analysis was conducted to identify the factors influencing nursing students’ attitudes toward older people.Conclusion: This study showed that the vocational college nursing students have a positive attitude towardolder persons. However, the proportion of respondents taking care of older persons as their first choice in their future career needs to be increased. Advanced vocational colleges should pay attention to the attitudes of nursing students toward older persons, and strengthen the education of career development planning, which has practical significance in meeting the diversified health needs of older persons and ensuring healthy aging.

Objective: This study aims to investigate the differences in public vaccination preference for the COVID-19 vaccine with different personality characteristics. Methods: Based on the Big Five Personality Inventory (BFI-10), a total of 1200 respondents were categorized by personality characteristics using Latent Profile Analysis (LPA). The preference of members the public with different personality characteristics for COVID-19 vaccination was investigated based on a discrete choice experiment (DCE). Results: All respondents were divided into three groups, named the General and Stable type (79.67%), Conscientious and Agreeable type (9.5%), and Open and Extroverted type (10.83%). For the percentage importance of vaccine attributes, both the General and Stable type and Conscientious and Agreeable type respondents considered cost to be the most important (41.93% and 34.95% respectively). However, the Open and Extroverted type respondents considered efficacy as the most important (31.05%). In our conditional logit model (CLOGIT), for vaccine adverse effects, the General and Stable type and Conscientious and Agreeable type respondents preferred “very mild”, while the Open and Extroverted type preferred “mild” (OR:1.108, 95%CI 0.977–1.256). The Open and Extroverted type had a higher willingness to pay (WTP) for the most preferred vaccine level compared to the other types. Conclusions: The Open and Extroverted respondents have the highest willingness to vaccinate. The General and Stable type and Conscientious and Agreeable respondents think that the cost of the vaccine is the most important attribute, and prefer the mildest side effects. The Open and Extroverted type think that vaccine efficacy is the most important attribute, prefer “mild” side effects, and have higher willingness to pay for their favorite vaccine level.

Introduction: Prosocial behavior has been shown to be protective against burnout. Yet, we know little about prosocial behavior in medical students. We wanted to know what are chinese medical students' understanding of prosocial behavior and which factors influence their participation in it? Methods: We undertook a grounded theory study, following Corbin & Strauss. We used convenience sampling and conducted semi-structured individual interviews. We analyzed data using open, axial, and selective coding techniques. Next, we grouped data into concepts. We noticed these concepts aligned with three existing social theories, so we developed our theory in concert with these: the Theory of Planned Behavior, Self-Determination Theory, and Social Support Theory. Results: Twenty-eight medical students participated in this study. Medical students hold especial views on the roles of medical physicians, and most of these views align with students' core values, including the value of prosocial behavior. Students are intrinsically motivated to engage in prosocial behaviors that align with their core values. Personal values, personality traits, perceived self-competence, career motivation, environmental factors, and family influences are the core factors influencing medically positive prosocial behavior. Conclusions: This study supports a focus on prosocial behavior instead of altruistic behavior in medical education. We anticipate that promoting prosocial behavior through medical curricula will reduce moral distress and burnout among medical students.

Background: Late-life depression is a critical public health concern, particularly among older adults with chronic multimorbidity. Existing studies often focus on single-disease associations, neglecting the complex interplay of coexisting conditions. Understanding how multimorbidity patterns contribute to depression risk and identifying high-risk subgroups through integrated statistical and machine learning approaches remain underexplored, limiting targeted prevention strategies. Methods: Using data from the China Health and Retirement Longitudinal Study (CHARLS), latent class analysis (LCA) was employed to cluster multimorbidity patterns. Associations between these patterns and depression were analyzed using multivariable logistic regression, while predictive performance and interaction effects were evaluated via an XGBoost machine learning model. Results: Four distinct multimorbidity patterns were identified: cardio-metabolic, digestive–joint, respiratory, and cardiovascular–digestive pattern. All clusters showed significant independent associations with depression, with the cardiovascular–digestive pattern exhibiting the strongest association (OR = 4.56). However, the digestive–joint pattern demonstrated the highest predictive effects for depression. Sociodemographic factors—low income, limited education, female gender, and rural residence—emerged as robust predictors, amplifying depression risk in older adults with multimorbidity. Conclusions: This study bridges epidemiological insights with predictive analytics to inform depression risk stratification. We recommend routine depression screening for all individuals with cardiovascular–digestive diseases and prioritize screening for women with digestive–joint diseases. Additionally, low-income and rural-dwelling older adults with chronic conditions warrant heightened clinical vigilance. These findings provide a framework for integrating multimorbidity profiling into depression prevention protocols, addressing both biological and socioeconomic determinants.