To explore the influencing factors of hematopoietic stem cell donation behavior among unrelated donors(URDs) based on the Fogg behavior model,and to provide reference for enhancing donation willingness.

Purposive sampling was adopted.A total of 14 URDs who donated hematopoietic stem cells in a tertiary grade A hospital in Nanchang from December 2024 to July 2025 were selected as research subjects.Semi-structured interviews were conducted with them.The data were analyzed using a descriptive qualitative research method and directed content analysis.

A total of 3 themes and 10 sub-themes were extracted,including initial donation drivers(growth environment,life supremacy,manageable costs,and perceived benefits),donation capability(physical autonomy,reconstruction of medical risks,and scientifically informed information discernment),and social contextual prompts(promotion of blood donation behavior,situation-triggered compassion,and expectations of patients with low-probability matching).

The hematopoietic stem cell donation behavior of URDs is collaboratively driven by initial motivation,self-capability,and contextual prompts.Healthcare professionals and Red Cross staff may improve the donation support system and promote URD donation behavior through life education,risk assessment support,and the construction of social prompt networks.

To explore the necessity and needs for developing a code of ethics for nurses in the multicultural context of Macao, and to provide a scientific basis for the construction of nursing ethical standards.

A phenomenological research approach was adopted,combined with stakeholder theory.A total of 23 nursing stakeholders with diverse backgrounds in Macao(including 7 clinical nurses, 3 nursing managers,6 nursing educators,5 nursing students,and 2 physicians) were selected through purposive sampling to participate in semi-structured written interviews from March to April 2022.The data were analyzed using Colaizzi's seven-step method and Nvivo 15 software for thematic analysis.

A total of 2 themes and 7 sub-themes were extracted,namely the importance of developing a code of ethics for nurses in Macao(standardization function for clinical decision-making,institutionalized protection of patient rights,ethical framework function for interprofessional collaboration,and quality leverage role for professional image).The needs that the code of ethics for nurses in Macao should address(needs for standardization of code content,needs for integration of cultural sensitivity,and needs for stakeholder participation).

The development of a systematic and professional code of ethics for nurses in Macao is identified as an effective means to regulate nursing practice,protect patient rights,and improve nursing quality.The code of ethics for nurses in Macao may also serve as a reference for the construction of ethical standards in multicultural regions worldwide.

To systematically synthesize the research findings on the application of ecological momentary assessment(EMA) in dietary lapse management.

Relevant literature on the application of EMA in dietary lapse management was retrieved from the CNKI,Wanfang Database,VIP Database,PubMed,Web of Science,Cochrane Library,EMbase,and CINAHL databases.The retrieval time was from the inception of each database to October 30,2025.Literature was screened and data were extracted independently by 2 researchers.

A total of 22 studies were finally included.The research was mainly concentrated in European and American countries,with samples predominantly consisting of overweight/obese individuals attempting weight loss,and some studies extended to patients with diabetes.Smartphone applications served as the primary tool for EMA data collection,using semi-random prompts,fixed prompts, and other scheduling methods.The monitoring period ranged from 3 to 84 days,with 6 daily prompts being the most frequent schedule.Negative emotions were identified as the main psychological trigger for dietary lapses,while social environment,hunger,and other factors also influenced lapse occurrence.The participation rate for EMA application ranged from 62.9% to 100.0%.Users demonstrated good acceptance of EMA,although issues such as insufficient methodological standardization and fatigue from long-term monitoring were noted.

EMA offers advantages of real-time and ecological validity.EMA demonstrated significant value in revealing the trigger mechanisms of dietary lapses and guiding personalized interventions,with good application feasibility.Future efforts should promote methodological standardization,strengthen technological integration,and expand research in special populations,with the aim of facilitating its transformation from a research tool to a routine clinical intervention approach.

To summarize studies on the application of natural language processing in patients with rheumatoid arthritis.

Guided by the scoping review methodological framework,relevant databases were searched from inception to April 18,2025.The included literature was synthesized and analyzed.

A total of 16 articles were included.The application scenarios of natural language processing in the field of rheumatoid arthritis included focusing on patients with rheumatoid arthritis-associated interstitial lung disease,constructing knowledge graphs,exploring rheumatoid arthritis medications,and supporting machine learning.The application methods were diverse.The application effects were excellent.

Natural language processing has broad application prospects in patients with rheumatoid arthritis.However,relevant studies are currently limited.Future research should strengthen model interpretability,address the challenges of multimodal text integration,and further expand application scope,so as to evaluate its effectiveness and reliability comprehensively.

To identify the multidimensional health profiles and related characteristics of community-dwelling (pre)frail older adults,and to provide a scientific basis for stratified and precise health management.

A total of 824 community-dwelling (pre)frail older adults from 17 communities in Shanxi province were recruited between May and September 2025 using a multistage stratified sampling method.Data were collected using a general information questionnaire,the FRAIL Scale,the Katz Activity of Daily Living Scale(ADL),the Lawton Instrumental Activity of Daily Living Scale(IADL),the Short Portable Mental Status Questionnaire(SPMSQ),the 5-item Geriatric Depression Scale(GDS-5),the University of California Los Angeles Loneliness Scale-8(ULS-8),and the Lubben Social Network Scale-6(LSNS-6).K-medoids cluster analysis was performed to identify multidimensional health profiles,and the demographic and health-related characteristics among different profile groups were compared.

Four distinct multidimensional health profiles were identified among community-dwelling (pre)frail older adults:the comprehensive health profile(n=207,25.1%),the cognitive-loneliness profile(n=222,26.9%),the general stability profile(n=328,39.8%),and the multiple impairment profile(n=67,8.1%).Significant differences were observed among the four profiles in age,gender,educational level,marital status,living arrangement,subjective economic status and number of chronic diseases(P<0.05).

The multidimensional health profiles identified through cluster analysis demonstrated substantial heterogeneity among community-dwelling (pre)frail older adults.Profile-based management tailored to the characteristics of each subgroup may facilitate the transformation of health management from a homogeneous approach to a more refined and individualized model,thereby improving management efficiency and promoting healthy aging.

To explore the nonlinear exposure-lagged characteristics of various influencing factors for frailty in Chinese older adults using the distributed lag non-linear model(DLNM),and to identify the lag windows corresponding to the peak effects of each risk factor, thereby providing evidence for phased and precise frailty prevention.

Data from the 2011,2013,and 2015 waves of the China Health and Retirement Longitudinal Study(CHARLS) were used to obtain information on frailty,cognitive function, depression, activities of daily living,and demographic characteristics.A DLNM was constructed for analysis.

A total of 745 older adults were included.Different factors showed marked lag heterogeneity:the effects of physical activity,impaired activities of daily living,depression,poor self-rated health,and pain peaked within relatively short lag periods.In contrast,the peak effect of hearing impairment appeared with a longer delay.Although visual impairment showed a trend toward delayed effects,the association was not statistically significant.

The time to peak lagged effects of factors associated with frailty onset varies among Chinese older adults,indicating different pathways and temporal windows through which these factors act.Physical activity,impaired activities of daily living,depression,poor self-rated health,and pain primarily affect individual functional status through short-term effects,whereas sensory impairments such as hearing and visual dysfunction tend to exhibit delayed cumulative effects.Phased interventions should be implemented based on these distinct lag characteristics to achieve early prevention and long-term management of frailty.