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 translate the Ease of Imagery Questionnaire into Chinese and to test its reliability and validity among clinical nurses.

The Ease of Imagery Questionnaire was translated according to the Brislin translation model.Cross-cultural adaptation and a preliminary survey were conducted to form the Chinese version of the Ease of Imagery Questionnaire.From January to April 2025,a convenience sampling method was used to select 500 clinical nurses from a tertiary grade A hospital in Jiangxi province as research subjects to test the reliability and validity of the Chinese version of the Ease of Imagery Questionnaire.

The Chinese version of the Ease of Imagery Questionnaire consisted of 16 items.The item-level content validity index ranged from 0.700 to 1.000.The average scale-level content validity index was 0.931.Exploratory factor analysis extracted two common factors,with a cumulative variance contribution rate of 63.201%.Confirmatory factor analysis showed that the model fit well.The overall Cronbach's α coefficient of the scale was 0.921.The split-half reliability was 0.919.The test-retest reliability was 0.830.

The Chinese version of the Ease of Imagery Questionnaire has good reliability and validity among clinical nurses.The scale could be used as an assessment tool to evaluate the level of ease of imagery among clinical nurses.

To analyze the effects of pre-pregnancy weight and intrapartum weight on postoperative recovery quality in women undergoing caesarean section.

A total of 337 women who underwent caesarean section at Jiangsu Shengze Hospital from September 2023 to December 2024 were selected as study subjects.General data of the women were obtained from the hospital's electronic medical record information system.The quality of postoperative recovery was assessed 24 hours after surgery using the Obstetric Quality-of-Recovery(ObsQoR-11) score.

The pre-pregnancy body mass index(BMI) of the 337 women was (23.2±3.3) kg/m²,and the intrapartum BMI was (28.6±3.7) kg/m².Linear regression analysis showed that the duration of the caesarean section,intrapartum weight,and pre-pregnancy weight were influencing factors for the postoperative recovery quality in women undergoing caesarean section(all P<0.05).

Both intrapartum obesity and pre-pregnancy obesity have a negative impact on the postoperative recovery quality in women undergoing caesarean section. Reasonable weight management should be performed for women undergoing caesarean section to improve the postoperative recovery quality.

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 translate the Nurse-Patient Therapeutic Interaction Scale into Chinese and to evaluate its psychometric properties.

The Nurse-Patient Therapeutic Interaction Scale was translated based on the modified Brislin translation model.The Chinese version of the Nurse-Patient Therapeutic Interaction Scale was culturally adapted and preliminary survey before formal validation.A total of 549 clinical nurses were selected from tertiary grade A hospitals in Jiangsu province from September to October 2025 using the convenience sampling method.Classical test theory was adopted to examine the reliability and validity of the scale.Multi-dimensional item response theory was further applied to analyze the item discrimination parameters,item difficulty parameters,and item information functions,to comprehensively evaluate the psychometric performance of the scale.

During cultural adaptation,the item-content validity index of the Chinese version of the Nurse-Patient Therapeutic Interaction Scale ranged from 0.667 to 1.000.The scale-content validity index/average was 0.908.Exploratory factor analysis extracted 3 common factors consisting 17 items in total,with a cumulative variance contribution rate of 74.503%.After removing one item,the results of multi-dimensional item response theory showed that the item discrimination parameters ranged from 2.516 to 21.805.The item difficulty parameters ranged from -3.217 to 0.401.The scale provided sufficient measurement information in the low-to-medium range of therapeutic interaction levels.After multi-dimensional item response theory analysis,the overall Cronbach's α coefficient of the scale was 0.981.The split-half reliability coefficient was 0.972.Confirmatory factor analysis revealed an excellent fit of the external verification model.

The Chinese version of the Nurse-Patient Therapeutic Interaction Scale has excellent discrimination,reliability,validity,and relatively low item difficulty.The scale could effectively measure the level of therapeutic interaction among clinical nurses.

To investigate the clinical evidence-based nursing practice competence among master of nursing specialist students and analyze its influencing factors.

A mixed-methods study with an explanatory sequential design was adopted.For the quantitative phase,convenience sampling was used to select 130 master of nursing specialist students from four tertiary grade A hospitals in Shanxi province from March to May 2023.The participants were surveyed using a general information questionnaire and the Chinese version of the Evidence-Based Practice Questionnaire.For the qualitative phase,a total of 19 master of nursing specialist students were selected to participate in semi-structured interviews from the quantitative study sample.

The total score on the Chinese version of the Evidence-based Practice Questionnaire among the 130 master of nursing specialist students was 115.95±21.04,with an average item score of 4.64±0.84.Regression analysis showed that research experience(participating in academic conferences and research projects and so on),awareness of the importance of clinical evidence-based nursing practice,and knowledge of clinical evidence-based nursing practice were influencing factors for the score on the Chinese version of the Evidence-Based Practice Questionnaire(all P<0.05).The qualitative analysis extracted four themes,namely high recognition and internalization of values,identifying clinical evidence-based nursing practice as a professional development direction;weak practical competence and lack of systematic support,leading to a knowing-doing gap;multidimensional facilitating factors stimulating the implementation of clinical evidence-based nursing practice;and multiple barriers constraining the clinical application of evidence-based nursing practice.

The clinical evidence-based nursing practice competence among master of nursing specialist students was at a moderate level.Hospitals and schools should improve teaching methods based on students' learning needs and experiences, provide more support,and enhance their clinical evidence-based nursing practice competence.

To identify the latent classes of symptom distress in elderly patients with heart failure and to construct a risk prediction model using machine learning algorithms.

A convenience sampling method was used to select 460 elderly patients with heart failure who were hospitalized in the department of cardiology of a tertiary grade A hospital in Hengyang city from September 2023 to April 2024 as the study subjects.Latent class analysis was employed to explore the latent classes of symptom distress in these elderly patients with heart failure. Six risk prediction models of symptom distress in elderly patients with heart failure were constructed using machine learning algorithms.The optimal model was selected and subjected to interpretability analysis.

Symptom distress in elderly heart failure patients was classified into three latent classes.The low-distress symptom-adaptation group accounted for 44.8%(206 cases).The moderate-distress psychological-dysregulation group accounted for 26.5%(122 cases).The high-distress heart-failure-predominant group accounted for 28.7%(132 cases).LASSO regression analysis showed that age,educational level,average monthly household income,multimorbidity,smoking,and perceived social support were significant influencing factors of symptom distress in elderly heart failure patients.Machine learning algorithms were used to construct six models,namely logistic regression,decision tree,random forest,K-nearest neighbors,extreme gradient boosting and support vector machine.The area under the receiver operating characteristic curve of extreme gradient boosting in the training set and test set was 0.909 and 0.828,respectively.Which was higher than that of the other models.The calibration curve showed that the predictions of extreme gradient boosting were in good agreement with the actual results.Within a certain threshold probability range,the decision curve of extreme gradient boosting demonstrated that the model possessed favorable clinical application performance.The learning curve showed no overfitting of the extreme gradient boosting.The interpretability analysis based on extreme gradient boosting revealed that perceived social support,multimorbidity,and age were of high importance.

Symptom distress in elderly patients with heart failure exhibits population heterogeneity.The extreme gradient boosting model demonstrates good performance in predicting the risk of symptom distress in elderly patients with heart failure.

To identify the latent profiles of professional socialization in nursing interns, and to reveal their heterogeneous characteristics and the influencing factors.

A convenience sampling method was adopted,a total of 386 nursing interns from five tertiary hospitals in China were selected as research subjects from August to October 2025.Data were collected using a general information questionnaire,the Perceived Academic Support Scale for Nursing Interns,the Career Adapt-Abilities Scale,and the Professional Socialization Scale for Nursing Students.A latent profile model was constructed using Mplus 8.3 software.

Group heterogeneity was observed in the level of professional socialization in nursing interns,and three latent profiles were identified,namely role-drifting type,identity-constructing type,and belonging-integrating type.Age,satisfaction with the nursing major,perceived academic support,and career adaptability were significant influencing factors of the latent profiles(all P<0.05).

Nursing educators should pay attention to the group heterogeneity of professional socialization in nursing interns.They should also identify and focus on those in the role-drifting type,and implement differentiated interventions to guide them toward the identity-constructing type,ultimately facilitating a deeper transformation toward the belonging-integrating type and achieving full role internalization.

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 investigate the incidence and influencing factors of lower extremity deep vein thrombosis(DVT) after intracranial mechanical thrombectomy in patients with acute ischemic stroke(AIS),and to construct a risk prediction model.

A total of 315 patients admitted to the neurointensive care unit of Nanfang Hospital Southern Medical University were enrolled as study subjects from January 2023 to September 2024. Univariate and multivariate Logistic regression analyses were performed to explore the influencing factors for DVT.A Nomogram prediction model was constructed.The prediction model was evaluated using the receiver operating characteristic(ROC) curve,Hosmer-Lemeshow test,calibration curve,and clinical decision curve analysis(DCA).

The incidence of lower extremity DVT after mechanical thrombectomy in the 315 AIS patients was 28.89%(91/315).Logistic regression analysis showed that age,National Institute of Health Stroke Scale(NIHSS) score,D-dimer level,puncture time,and operation time were influencing factors for lower extremity DVT after mechanical thrombectomy in AIS patients(all P<0.05).A Nomogram model was constructed based on these influencing factors.The area under the ROC curve was 0.916(95% CI 0.883-0.949).The Youden index was 0.675.The sensitivity was 0.912.The specificity was 0.763.The Bootstrap test indicated good model calibration.Clinical DCA demonstrated good clinical applicability within the threshold probability range of 0.01-0.90.

Age,NIHSS score,D-dimer level,puncture time,and operation time were identified as factors affecting the occurrence of lower extremity DVT after mechanical thrombectomy in AIS patients.The Nomogram model constructed based on influencing factors demonstrated good predictive performance and may serve as a quantitative tool for nurses to identify high-risk patients at an early stage.