To develop the artificial intelligence literacy readiness scale for ICU nurses based on the onion model and to test its reliability and validity.

Under the framework of the onion model,an initial draft of the artificial intelligence literacy readiness scale was formulated through literature review and semi-structured interviews.The initial draft was revised after two rounds of expert consultation and a small-scale pilot survey.A total of 498 ICU nurses from 15 tertiary grade A hospitals in Shandong province were selected as investigation research subjects by convenience sampling method from September to December 2024.The reliability and validity of the scale were tested.

The final artificial intelligence literacy readiness scale for ICU nurses consisted of 34 items across five dimensions,namely artificial intelligence awareness,artificial intelligence knowledge,artificial intelligence competence,artificial intelligence thinking,and artificial intelligence ethics.The scale-level content validity index was 0.971,and the item-level content validity index ranged from 0.833 to 1.000.Exploratory factor analysis extracted five common factors,with cumulative variance contribution rate of 78.504%.Confirmatory factor analysis indicated good model fit.The overall Cronbach's α coefficient of the scale was 0.932.The split-half reliability was 0.912.The test-retest reliability was 0.908.

The artificial intelligence literacy readiness scale for ICU nurses developed based on the onion model demonstrates good reliability and validity.It can be used to assess the artificial intelligence literacy readiness level of ICU nurses.

To explore the categories of psychological distress in women living with human immunodeficiency virus(HIV) and analyze its influencing factors.

A total of 356 women living with HIV who attended regular follow-up visits at designated acquired immunodeficiency syndrome(AIDS) outpatient clinics in Shanghai city and Nanning city,Guangxi Zhuang Autonomous Region were selected as the study subjects from September 2024 to February 2025.The survey instruments included a general information questionnaire,the 10-Item Connor-Davidson Resilience Scale,the Discrimination Experience Questionnaire for People Living with HIV/AIDS,the Perceived Social Support Scale,the 10-Item Kessler,and the Ten-Item Personality Inventory-Chinese Version.Latent profile analysis was conducted based on the 10-Item Kessler scores.Logistic regression analysis was employed to explore the influencing factors of psychological distress categories in women living with HIV.

The 10-Item Kessler score for women living with HIV was 18(15,23),with a prevalence of psychological distress of 69.66%.Two distinct categories were identified,namely the high-level psychological distress group(27.5%) and the low-level psychological distress group(72.5%).Logistic regression analysis revealed that place of residence,medical payment method,perceived discrimination,psychological resilience,and personality traits were significant influencing factors of psychological distress categories in women living with HIV(all P<0.05).

Psychological distress is prevalent among women living with HIV and exhibits group heterogeneity.Individualized interventions aiming at the influencing factors of psychological distress categories in women living with HIV should be implemented to improve their mental health status.

To investigate the medication adherence trajectory during the intensive phase in patients with drug-resistant tuberculosis(DR-TB) and to analyze its influencing factors.

Patients with DR-TB treated at the Public Health Clinical Center of Chengdu city from March to December 2024 were selected as the study subjects by a convenience sampling method.Medication adherence was assessed using the Morisky Medication Adherence Scale(MMAS-8) at the beginning of treatment,3 months of treatment,and 6 months of treatment.The latent class growth model(LCGM) was used to analyze medication adherence trajectories.Multivariate Logistic regression analysis was used to explore the influencing factors of different trajectories.

A total of 179 patients with DR-TB completed follow-up.Their MMAS-8 scores at the beginning of treatment,3 months of treatment,and 6 months of treatment were 6.07±1.72,5.92±1.75,and 6.01±1.69,respectively.There were no statistically significant differences across the three time points(P>0.05).Two medication adherence trajectories were identified among patients with DR-TB,namely the improving medication adherence group(56.425%) and the declining medication adherence group(43.575%).Logistic regression analysis showed that average monthly income,place of residence,educational level,category of systemic adverse reactions,presence of other chronic diseases,self-efficacy,social support,and self-management ability were influencing factors for the medication adherence trajectory during the intensive phase in patients with DR-TB(all P<0.05).

Medication adherence during the intensive phase in patients with DR-TB was at a moderate level and exhibited population heterogeneity.Healthcare providers should pay attention to patients with declining medication adherence and develop personalized nursing measures based on the influencing factors to improve patient medication adherence.

To explore the dose-response relationship between hypothermia risk scores and the risk of concurrent trauma-induced coagulopathy(TIC) in emergency trauma patients.

A total of 220 emergency trauma patients admitted to our hospital from April 2023 to December 2024 were selected as the study subjects.They were divided into a TIC group and a non-TIC group based on the concurrent TIC condition.Univariate and multivariate Logistic regression analyses were used to explore the influencing factors of concurrent TIC in emergency trauma patients.The impact of the hypothermia risk score on concurrent TIC was analyzed after adjusting for different covariates.Restricted cubic spline(RCS) and threshold effect analyses were employed to investigate the dose-response relationship between the hypothermia risk score and the risk of concurrent TIC.

Among the 220 emergency trauma patients,42 developed TIC,resulting in an incidence of 19.09%. The hypothermia risk scores were 24.31±8.27.The hypothermia risk score was significantly higher in the TIC group than that in the non-TIC group(P=0.012). Multivariate Logistic regression analysis showed that the hypothermia risk score and admission hemoglobin level were influencing factors of concurrent TIC in emergency trauma patients(both P<0.05).After adjusting for covariates,the hypothermia risk score remained associated with concurrent TIC in emergency trauma patients(P=0.046).The RCS curve indicated a nonlinear dose-response relationship between the hypothermia risk score and concurrent TIC after adjusting for covariates(P_{for overall}=0.002,P_{for nonlinear}=0.023).The threshold effect analysis revealed a threshold effect between the hypothermia risk score and concurrent TIC(P_{for likelihood ratio test}=0.007).When the hypothermia risk score was≥25,each one-point increased in the score was associated with a 0.170-fold increase in the risk of concurrent TIC.Subgroup analysis showed that the relationship between the hypothermia risk score and concurrent TIC was not significantly influenced by gender,age,body mass index,hypertension,diabetes,or hyperlipidemia(all P_{for interaction}>0.05).

There exists a nonlinear dose-response relationship between the hypothermia risk score and concurrent TIC in emergency trauma patients.When the hypothermia risk score is ≥25,the risk of concurrent TIC increases with higher scores.

To explore the development trajectories of pain catastrophizing in elderly lung cancer patients with chronic pain undergoing chemotherapy,to analyze influencing factors,and to compare differences in physical activity among patients in different trajectory categories.

A total of 213 elderly lung cancer patients with chronic pain undergoing chemotherapy in Jiangsu Provincial People's Hospital were selected as research subjects from January 2022 to February 2024.Pain catastrophizing levels of patients were surveyed before chemotherapy initiation,during the mid-phase of chemotherapy,at the end of chemotherapy,and one month after chemotherapy completion.Group-based trajectory modeling was used to identify categories of pain catastrophizing trajectories.Logistic regression analysis was employed to explore influencing factors for different trajectory categories.Physical activity levels were compared among patients in different trajectory categories.

Model fitting ultimately identified three categories of pain catastrophizing trajectories,namely the low pain catastrophizing group,the moderate pain catastrophizing stable group,and the high pain catastrophizing increasing group.Logistic regression analysis showed that age,pain intensity,duration of persistent pain,personality traits, anxiety or depression,and family support were influencing factors for pain catastrophizing trajectory categories in elderly lung cancer patients with chronic pain undergoing chemotherapy (P<0.05). Comparisons of physical activity scores among patients in different pain catastrophizing trajectory categories showed statistically significant differences(P<0.05).

Elderly lung cancer patients with chronic pain undergoing chemotherapy exhibit three categories of pain catastrophizing trajectories.Healthcare professionals can develop and implement intervention plans based on the influencing factors of pain catastrophizing trajectories of patients to reduce their levels of pain catastrophizing.

To investigate the relationship between different types of cardiovascular disease and transitions in cognitive frailty states.

Data from the 2010—2014 Health and Retirement Study (HRS) in the United States and the 2011-2015 China Health and Retirement Longitudinal Study(CHARLS) were selected as data sources. A multi-state Markov model was employed to examine the impact of cardiovascular disease on cognitive frailty transitions.

Among patients with cardiovascular disease,the incidence rates of cognitive frailty,frailty,and cognitive impairment were 2.5%,8.6%,and 16.2%,respectively.A total of 5 990 state transitions were observed,of which deteriorations accounted for 60.2% and improvements accounted for 39.8%.Patients with multimorbid cardiovascular disease were more likely to transition from a normal state to physical frailty and were less likely to recover from deteriorated states compared to those with a single condition.Hypertensive patients demonstrated a higher likelihood of recovery from deteriorated states.

The relationships between different types of cardiovascular disease and transitions in cognitive frailty states vary.Healthcare providers should pay attention to state transitions in patients with different cardiovascular conditions and provide timely,personalized interventions and care.

To explore the developmental trajectories of post-traumatic stress disorder in patients with early pregnancy loss and to analyze their influencing factors.

Patients with early pregnancy loss who attended the obstetrics and gynecology outpatient clinic of a tertiary grade A hospital in Wuhan city were selected as the study subjects by a convenience sampling method from September 2024 to May 2025.Surveys were conducted on the day of early pregnancy loss,one month after early pregnancy loss,and three months after early pregnancy loss using a general information questionnaire,the post-traumatic stress disorder Checklist-Civilian Version,the Dyadic Coping Inventory,the Chinese Version Perceived Stress Scale,the Sense of Coherence Scale-13,and the Perceived Social Support Scale.A latent class growth model was used to identify the developmental trajectories of post-traumatic stress disorder in patients.Logistic regression analysis was employed to explore the influencing factors.

A total of 405 patients were finally included.Three distinct developmental trajectories of post-traumatic stress disorder were identified in patients with early pregnancy loss,namely a high traumatic stress response-chronic risk group(113 cases,27.9%),a low traumatic stress response-sustained improvement group(230 cases,56.8%),and a high traumatic stress response-rapid remission group(62 cases,15.3%).The results of Logistic regression analysis showed that the mode of conception,number of miscarriages,social support,sense of coherence,dyadic coping,and perceived stress were influencing factors for the developmental trajectories of post-traumatic stress disorder in patients with early pregnancy loss(all P<0.05).

There is group heterogeneity in the developmental trajectories of post-traumatic stress disorder in patients with early pregnancy loss.Clinical healthcare providers should promptly conduct psychological screening for patients with early pregnancy loss and develop precise nursing interventions based on the influencing factors of different trajectories to alleviate post-traumatic stress disorder in these patients.

To analyze and clarify the connotation of the concept of emotional intelligence among nurses.

Relevant literature on emotional intelligence among nurses was systematically searched in databases including CNKI,CBM,Wanfang Data,VIP Database,PubMed,EMbase,Web of Science,and ScienceDirect.Articles were screened according to inclusion and exclusion criteria,and analyzed using Rodgers' evolutionary concept analysis method.

A total of 42 articles were included.The conceptual attributes of emotional intelligence among nurses encompassed four aspects,namely self-awareness,social awareness,emotion management,and interpersonal relationship management.Antecedents were divided into internal factors(general demographic characteristics and individual traits) and external factors(organizational climate,education and training,and social support).Consequences mainly involved three areas,namely interpersonal relationships,nursing quality,and professional development.

The concept of emotional intelligence among nurses was clarified through Rodgers' evolutionary concept analysis method,which may provide a reference for improving emotional intelligence among nurses.

To explore the research status quo,hotspots,and development trends of artificial intelligence in global chronic disease prevention and control.

Relevant studies on artificial intelligence empowering chronic disease prevention and control were retrieved from the Science Citation Index Expanded of Web of Science.The literature was analyzed using R-bibliometrix and VOSviewer.

A total of 624 articles related to artificial intelligence empowering chronic disease prevention and control published between 2016 and 2025 were retrieved.High-frequency technology keywords included "machine learning" "deep learning" "Internet of things" and so on.High-frequency chronic disease keywords included "diabetes" "COVID-19" "cardiovascular diseases" and so on.Emerging technology keywords were "large language models" "long short-term memory networks" and so on.Emerging disease keywords were "asthma" and so on.

Artificial intelligence algorithms and the Internet of things constitute the core supporting technologies in the field of artificial intelligence empowering chronic disease prevention and control.Diabetes,COVID-19,and cardiovascular diseases are the focal diseases.Large language models and long short-term memory networks represent emerging technological directions.Asthma is an emerging hotspot disease.Artificial intelligence has played an important role in the field of chronic disease prevention and control.

To analyze the relationships between sleep duration,cognitive function,handgrip strength,and the risk of cardiovascular diseases(CVD) in middle-aged and elderly adults.

Based on data from the China Health and Retirement Longitudinal Study for the years 2011,2013,2015,2018,and 2020,restricted cubic spline curves were employed to investigate potential non-linear relationships between sleep duration,cognitive function,handgrip strength,and the risk of CVD.Log-Rank tests and Kaplan-Meier curves were utilized to analyze the relationships between sleep duration,cognitive function,handgrip strength,and the cumulative incidence of CVD.Cox proportional hazards models were applied to examine the associations between variables.The mediating roles of handgrip strength and cognitive function in the relationship between sleep duration and CVD risk were analyzed.

A U-shaped association was observed between sleep duration and the risk of CVD.Middle-aged and elderly adults with shorter sleep duration and lower handgrip strength levels had higher risk of CVD.Cognitive function was found to influence the risk of CVD through the mediating effect of handgrip strength.

Middle-aged and elderly adults could potentially prevent CVD by optimizing sleep duration,enhancing muscle function and so on.

To propose a 2D/3D medical image registration method based on generative adversarial network(GAN) for improving spatial alignment accuracy of images in minimally invasive spinal surgery navigation.

A registration framework for spinal preoperative 3D CT and intraoperative 2D X-ray images was constructed based on the LIDC-IDRI dataset.Deformation parameters conforming to vertebral joint constraints were generated using a generative adversarial network.Digitally reconstructed radiographs technology was employed to project preoperative 3D CT data onto a 2D plane to generate synthetic X-ray images.A stage-wise parameter decoupling method was adopted for iterative parameter optimization.2D/3D medical image registration was achieved. The performance of the proposed algorithm was validated using Elastix as the benchmark method.

The GAN-based registration method outperformed the open-source medical image registration framework Elastix in terms of mean absolute error(MAE),normalized cross-correlation(NCC),and normalized mutual information(NMI).The GAN-based registration achieved an MAE that was only 52.4% of that of the open-source medical image registration framework Elastix,while its NCC and NMI were 10.2% and 42.8% higher than Elastix,respectively.

By synergizing adversarial learning with gradient optimization,the GAN-based registration method achieves high-precision and robust intraoperative image registration.

To investigate the impact of physical activity and depressive symptoms on cognitive impairment among middle-aged and elderly people in China.

A total of 5 353 middle-aged and elderly people were selected from the 2018 China Health and Retirement Longitudinal Study.Relevant data were collected from three modules,namely basic information,health status,and cognitive function and depression.Univariate and multivariate Logistic regression analyses were performed to explore the effects of physical activity and depressive symptoms on cognitive impairment.

Both physical activity and depressive symptoms were influencing factors for cognitive impairment in middle-aged and elderly people(both P<0.001).Compared with the group with no depressive symptoms and high physical activity,the risk of cognitive impairment was significantly increased in the groups with depressive symptoms and high physical activity,no depressive symptoms and low-to-moderate physical activity,and depressive symptoms and low-to-moderate physical activity(all P<0.001).

Physical activity,depressive symptoms,and their joint effect among middle-aged and elderly people were associated with the risk of cognitive impairment.Greater attention should be paid to the mental health of middle-aged and elderly people.Efforts should be made to promote higher levels of physical activity among this population to reduce the risk of cognitive impairment.

To develop a self-rated medication literacy scale for stroke-prone population and to test its reliability and validity.

The conceptual model of medication literacy was used as the theoretical framework.The self-rated medication literacy scale for stroke-prone population was formulated through literature analysis,semi-structured interviews,focus group discussions,Delphi expert consultations,and a preliminary survey.A total of 424 stroke-prone patients from a community and a tertiary grade A general hospital in Shijiazhuang city,Hebei province were selected as the study subjects by convenience sampling.The reliability and validity were tested.

The self-rated medication literacy scale for stroke-prone population comprised 4 dimensions with a total of 24 items.The overall Cronbach's α coefficient of the scale was 0.940.The split-half reliability was 0.874.The test-retest reliability was 0.908.The item-level content validity index ranged from 0.83 to 1.00.The scale-level content validity index was 0.90.Exploratory factor analysis showed four common factors,with a cumulative variance contribution rate of 63.538%.Confirmatory factor analysis results indicated a stable factor structure for the scale.

The developed self-rated medication literacy scale for stroke-prone population demonstrates good reliability and validity.It could serve as an effective self-assessment tool for evaluating medication literacy levels in stroke-prone population.

To translate the Attitude Scale Towards the Use of Artificial Intelligence Technologies in Nursing(ASUAITIN) and to test its reliability and validity.

The ASUAITIN was translated using the Brislin translation model.The Chinese version of ASUAITIN was developed after cultural adaptation and a preliminary survey.A convenience sampling method was employed to select 396 clinical nurses from a tertiary grade A hospital in Beijing as research subjects.The reliability and validity of the scale were tested.

The Chinese version of ASUAITIN consisted of 2 dimensions(positive attitude and negative attitude) with a total of 15 items.The overall Cronbach's α coefficient of the scale was 0.939.The split-half reliability was 0.738.The test-retest reliability was 0.935.The average scale-level content validity index was 0.981.The item-level content validity indexes ranged from 0.875 to 1.000.Two common factors were extracted through exploratory factor analysis,with a cumulative variance contribution rate of 77.402%.Confirmatory factor analysis results showed that all fit indexes were within acceptable ranges.

The Chinese version of ASUAITIN demonstrated good reliability and validity.It could be used to assess the attitudes of clinical nurses in China towards the application of artificial intelligence technologies.

To translate Carter Assessment of Critical Thinking in Midwifery(CACTiM) into Chinese and to test its reliability and validity.

The original scale was translated based on the World Health Organization translation guidelines,and the Chinese version of CACTiM was formed through cross-cultural adaptation,cognitive interviews,and a preliminary survey.A total of 354 in-service midwives from 16 hospitals in Zhejiang province were selected as study subjects from February to March 2025.The reliability and validity of the scale were tested.

The Chinese version of CACTiM consisted of 4 dimensions and 25 items.The scale-level content validity index was 0.96,and the item-level content validity indices ranged from 0.80 to 1.00.Exploratory factor analysis extracted 4 common factors,with a cumulative variance contribution rate of 62.897%.Confirmatory factor analysis results indicated a good model fit.The overall Cronbach's α coefficient for the scale was 0.938.The split-half reliability was 0.807.The test-retest reliability was 0.972.

The Chinese version of the CACTiM demonstrated good reliability and validity.It could be used as an assessment tool for evaluating critical thinking ability among midwives in China.

To translate the M.D.Anderson Symptom Inventory-chimeric antigen receptor T cell therapy module(MDASI-CAR) into Chinese and test its reliability and validity.

Following the Brislin translation model,the original scale underwent translation,cultural adaptation,and a preliminary survey to form the Chinese version of the MDASI-CAR.A total of 148 patients with hematological diseases who underwent CAR-T cell therapy in a tertiary hospital in Tianjin city were selected as study subjects by a convenience sampling method from January to August 2025.The reliability and validity of scale was analyzed.

The Chinese version of the MDASI-CAR consisted of 28 items.Exploratory factor analysis results showed that the 22 symptom assessment items extracted 6 common factors,with a cumulative variance contribution rate of 66.617%.The factor loadings for each item ranged from 0.402 to 0.887.The 6 symptom interference assessment items extracted 2 common factors,with a cumulative variance contribution rate of 71.706%.The factor loadings ranging from 0.742 to 0.905.The item-level content validity index ranged from 0.833 to 1.000.The scale-level average content validity index was 0.945.The scale scores correlated with those of the validity instrument(all P<0.001).The overall Cronbach's α coefficient for the scale was 0.930.

The Chinese version of the MDASI-CAR demonstrated good reliability and validity.It could be used to assess symptom severity and life interference in patients following CAR-T cell therapy.

To translate the Artificial Intelligence Anxiety Scale(AIAS) into Chinese and to test its reliability and validity among medical students.

The AIAS underwent forward translation,back-translation based on the Brislin translation model.The Chinese version of AIAS was developed by cultural adaptation and a preliminary survey.A total of 305 medical students from two medical universities in Hubei province were selected by a convenience sample from March and April 2025.The reliability and validity of the scale were tested.

The Chinese version of the AIAS consisted of 4 dimensions(learning,work substitution,socio-technical blind spots,artificial intelligence configuration) with 20 items.The item-level content validity index ranged from 0.876 to 1.000.The average scale-level content validity index was 0.961.Exploratory factor analysis extracted 4 common factors with a cumulative variance contribution rate of 81.342%.Confirmatory factor analysis indicated a satisfactory model fit.The overall Cronbach's αcoefficient was 0.951.The split-half reliability was 0.734.The test-retest reliability was 0.795.

The Chinese version of the AIAS demonstrates acceptable reliability and validity.It could be used as a valid tool to assess the level of artificial intelligence anxiety among medical students in China.

To translate the Quality of Life Questionnaire for Aphasics(QLQA) into Chinese and test its reliability and validity in stroke patients with aphasia.

The Brislin translation model was adopted for the translation of QLQA.The Chinese version of QLQA was developed after cultural adaptation and a preliminary survey.A total of 222 hospitalized stroke patients with aphasia from our hospital between January 1,2024 and May 1,2025 were selected for the questionnaire survey.The reliability and validity of the Chinese version of QLQA were tested.

The Chinese version of QLQA comprised 3 dimensions and 37 items in total.The item-level content validity index ranged from 0.80 to 0.97.The scale-level content validity index based on universal agreement was 0.939.The average content validity index was 0.958.The Stroke and Aphasia Quality of Life Scale(SAQOL-39g) was used as the criterion.The correlation coefficient between the Chinese version of QLQA and the SAQOL-39g scores was 0.566(P<0.05).Exploratory factor analysis extracted 3 common factors with eigenvalues greater than 1 with the cumulative variance contribution rate of 66.0%.Confirmatory factor analysis indicated that the three-factor structural equation model demonstrated a good fit.The overall Cronbach's α coefficient of the questionnaire was 0.952,and the test-retest reliability was 0.969.

The Chinese version of QLQA exhibits good reliability and validity.It could be used to assess the quality of life of stroke patients with aphasia.

To explore the authentic caregiving experiences of caregivers of left-behind children in underdeveloped regions based on ecosystem theory.

A total of 22 caregivers of left-behind children who underwent physical examinations at a maternal and child health hospital in a county of Yunnan province were selected as study subjects from July 2024 to June 2025 by purposive sampling.Focus group interviews and semi-structured in-depth interviews were conducted.Participant observation was supplemented.Data were analyzed using a combination of directed content analysis and conventional content analysis.

Four core themes and thirteen sub-themes were ultimately identified.The core themes were experiences of physical and mental tearing and resilient stitching at the microsystem level,experiences of tearing at the mesosystem level,experiences of tearing and limited stitching at the exosystem level,and experiences of tearing and resilient stitching at the macrosystem level.

The caregiving process for left-behind children is a dynamic experience involving multiple tearing experiences and limited stitching.Healthcare professionals should play an active role within the family-school-community-policy four-dimensional support network to improve the caregiving experiences of these caregivers.

To explore the application effects of a low glycemic index(GI) diet combined with resistance exercise in patients with gestational diabetes mellitus(GDM).

GDM patients who underwent prenatal check-ups and delivered at Zhangye People's Hospital Affiliated to Hexi University were selected as the research subjects from June to December 2024.The patients were divided into observation group and control group using random number table.The control group received conventional lifestyle management,while the observation group was received low glycemic index diet diet combined with resistance exercise based on conventional lifestyle management.Indicators monitored included glycemic and lipid metabolism parameters[fasting blood glucose(FBG),glycated hemoglobin(HbA1c),total cholesterol (TC),triglycerides(TG),2-hour postprandial blood glucose(2 hPG),fasting insulin(FINS),homeostatic model assessment for insulin resistance(HOMA-IR)],adipokines[leptin(LEP),adiponectin(ADPN),soluble leptin receptor(sLR),LEP/ADPN (L/A)],and delivery outcomes(gestational hypertensive disorders,premature rupture of membranes,cesarean section,preterm birth,cumulative blood loss at 2 hours postpartum,macrosomia,fetal distress,neonatal asphyxia,neonatal hypoglycemia,1-minute Apgar score).

A total of 46 patients in the observation group and 45 patients in the control group completed the intervention.After the intervention,the observation group showed lower levels of FBG,2 hPG,HbA1c,TC,TG,LEP,L/A,FINS,and HOMA-IR compared to both pre-intervention levels and the control group during the same period.The ADPN and sLR levels of observation group were higher than pre-intervention levels and those of the control group.The incidence rates of events such as cesarean section,macrosomia,and neonatal asphyxia of observation group were all lower than those in the control group.The cumulative blood loss at 2 hours postpartum of observation group was less than that in the control group.The 1-minute Apgar score of observation group was higher than that in the control group(all P<0.05).

The combination of low glycemic index diet and resistance exercise can improve insulin sensitivity,optimize glycemic and lipid metabolism indicators,and regulate the balance of the adipokine network to ameliorate the metabolic status of GDM patients.

To explore the illness perceptions of breast cancer patients with lymphedema.

A phenomenological research approach was adopted.Semi-structured interviews were conducted with 15 breast cancer patients with lymphedema who visited the lymphedema clinic of a tertiary grade A hospital in Jiangsu province from June to July 2024.The interview data were analyzed using Colaizzi's seven-step method.

A total of six themes were identified,namely recognizing the chronicity of the disease,symptom relief enhancing treatment confidence,actively adapting to and coping with the illness,lacking an accurate perception of the disease's severity,feeling a lack of control over the illness,and experiencing physical and psychological discomfort as well as life disturbances.

Breast cancer patients with lymphedema generally lacked an accurate understanding of the severity of their condition.Medical staff should strengthen health education for patients,alleviate their physical and psychological discomfort,enhance their treatment confidence and self-management abilities,and improve their sense of control over the illness.

To evaluate the application effectiveness of a mindfulness-based group course in women with unexplained recurrent spontaneous abortion(URSA).

A total of 60 URSA women who attended the reproductive medicine center of our hospital were selected as the study subjects from January to June 2022.The women were divided into an intervention group and a control group using a random number table method,with 30 cases in each group.The control group received routine treatment and mental health education,while the intervention group received routine treatment,mental health education,and a mindfulness-based group course intervention.URSA women were assessed using the Five Facets of Mindfulness Questionnaire(FFMQ),the Self-Rating Depression Scale(SDS),the Self-Rating Anxiety Scale(SAS),the Fertility Problem Inventory(FPI),and the Fertility Quality of Life(FertiQoL) before the intervention and after 6 weeks of intervention.

During the study period,2 URSA women in the control group and 5 URSA women in the intervention group dropped out.Finally,28 URSA women in the control group and 25 URSA women in the intervention group completed the study.After 6 weeks of intervention,the total scores of SDS,SAS,and FPI in the intervention group decreased compared with those before the intervention(all P<0.05),while the total scores of FertiQoL and FFMQ increased compared with those before the intervention(all P<0.05).Moreover,the total scores of SDS and SAS in the intervention group were lower than those in the control group at the same time point(all P<0.05),while the total scores of FertiQoL and FFMQ in the intervention group were higher than those in the control group at the same time point(all P<0.05).After 6 weeks of intervention,the total score of FFMQ in the intervention group was negatively correlated with the total scores of SDS,SAS,and FPI,and positively correlated with the total score of FertiQoL(all P<0.05).

Mindfulness-based intervention could improve the mindfulness level of URSA women and alleviate their psychological distress and improve their quality of life.

To explore the shortcomings of hospice care services in nursing homes and to propose corresponding countermeasures.

Based on grounded theory,textual analysis was conducted on 82 hospice care medical records(from 2020 to 2023) in a nursing home in Qinzhou city using Nvivo 12.0.

The study identified some issues in service implementation,namely a lack of clear functional positioning of the nursing home,an imperfect referral mechanism,homogenization of services,and underutilization of social resources.

It is essential to accurately position the functions of nursing homes and enhance the skill levels of personnel,to improve referral mechanisms and integrate collaborative production systems,to implement service differentiation strategies and leverage the service advantages of nursing homes,to fully integrate social resources and promote the development of integrated medical and elderly care services.The aim is to meet the growing demands for end-of-life care.

To systematically examine the epidemiological characteristics of adverse childhood experiences(ACEs) among people living with human immunodeficiency virus(HIV) and to systematically examine the association between ACEs and health outcomes.

This scoping review was guided by guidelines for scoping reviews from the Joanna Briggs Institute(JBI) Centre for Evidence-Based Healthcare of Australia.Eight databases(PubMed,Cochrane Library,CINAHL,EMbase,Web of Science,CNKI,Wanfang Database,and CBM) were systematically searched.Content extraction,synthesis,and analysis were performed on the included literature.

A total of 32 articles were included.The most frequently studied type of ACEs was sexual abuse,followed by physical abuse and emotional abuse.Data analysis revealed that from 82.5% to 95.0% of people living with HIV had experienced at least one ACE,and from 39.5% to 42.0% of people living with HIV had experienced≥4 ACEs.The impact of ACEs on the health outcomes and risk behaviors of people living with HIV encompassed physical,psychological,social functioning,substance use,and sexual risk behaviors.

There is an association between ACEs and the health outcomes as well as high-risk behaviors among people living with HIV.However,current research on ACEs in this population remains insufficient,further in-depth investigation are needed in the future.

To conduct a scoping review of the application of large language models in the field of chronic disease self-management,and to provide a reference for future research.

The Joanna Briggs Institute scoping review guideline was used as the framework.Databases including CNKI,Wanfang,VIP,PubMed,EMbase,and Web of Science Core Collection were searched.Literature screening and data extraction were performed.

A total of 10 articles were included.The summarized information indicates that the application forms of large language models in the field of chronic disease self-management included chatbots,intelligent interactive information support systems,precision recommendation systems integrated with medical data,and integrated image-language systems.The content elements included providing disease knowledge and self-management skills guidance,exercise management,diet management,medication management,activities of daily living management,health data monitoring,communication with healthcare professionals,and psychological support.The main application outcomes was related to self-management ability indicators,symptoms indicators,feasibility indicators,and other indicators.

Large language models can enhance patients' self-management abilities,symptom indicators and psychological states.Large language models demonstrate high feasibility and patient acceptance.However,existing studies have limitations such as insufficient intervention depth,limited coverage of disease types,and ethical risks.Future efforts should optimize model functional design based on professional characteristics,strengthen ethical and privacy protection mechanisms,and explore the sustainability of large language models in chronic disease management to promote patient recovery and improve their quality of life.