Alleviating effect of vagus nerve cutting in Salmonella-induced gut infections and anxiety-like behavior via enhancing microbiota-derived GABA.

The vagus nerve, a pivotal link within the gut-brain axis, plays a critical role in maintaining homeostasis and mediating communication between the gastrointestinal tract and the brain. It has been reported that gastrointestinal infection by Salmonella typhimurium (S. typhimurium) triggers gut inflammation and manifests as anxiety-like behaviors, yet the mechanistic involvement of the vagus nerve remains to be elucidated. In this study, we demonstrated that unilateral cervical vagotomy markedly attenuated anxiety-like behaviors induced by S. typhimurium SL1344 infection in C57BL/6 mice, as evidenced by the open field test and marble burying experiment. Furthermore, vagotomy significantly diminished neuronal activation within the nucleus of the solitary tract and amygdala, alongside mitigating aberrant glial cell activation in the hippocampus and amygdala. Additionally, vagotomy notably decreases serum endotoxin levels, counters the increase in splenic Salmonella concentration, and modulates the expression of inflammatory cytokines-including IL-6, IL-1ß, and TNF-α-in both the gastrointestinal tract and brain, with a concurrent reduction in IL-22 and CXCL1 expression. This intervention also fostered the enrichment of beneficial gut microbiota, including Alistipes and Lactobacillus species, and augmented the production of gamma-aminobutyric acid (GABA) in the gut. Administration of GABA replicated the vagotomy's beneficial effects on reducing gut inflammation and anxiety-like behavior in infected mice. However, blockade of GABA receptors with picrotoxin abrogated the vagotomy's protective effects against gut inflammation, without influencing its impact on anxiety-like behaviors. Collectively, these findings suggest that vagotomy exerts a protective effect against infection by promoting GABA synthesis in the colon and alleviating anxiety-like behavior. This study underscores the critical role of the vagus nerve in relaying signals of gut infection to the brain and posits that targeting the gut-brain axis may offer a novel and efficacious approach to preventing gastrointestinal infections and associated behavioral abnormalities.

Factor structure and reliability of the symptom measurement of post-stroke depression in the rehabilitation stage.

BACKGROUND: The incidence of Post Stroke Depression (PSD) in the Rehabilitation Stage is high, which can bring serious physical and psychological disorders to patients. However, there is still a lack of targeted tools for screening PSD in the rehabilitation stage. Therefore, the aim of this study was to evaluate the factor structure and reliability of a measurement instrument to screen for PSD in the rehabilitation stage. METHODS: A cross-sectional study was conducted on 780 hospitalized stroke patients who were within the rehabilitation stage from May to August 2020. Exploratory factor analysis (EFA) as well as first- and second-order confirmatory factor analysis (CFA) were performed to evaluate the factor structure of the newly developed Symptom Measurement of Post-Stroke Depression in the Rehabilitation Stage (SMPSD-RS). The reliability and validity of the SMPSD-RS were also verified using several statistical methods. RESULTS: EFA extracted a 24-item, five-factor (cognition, sleep, behavior, emotion, and obsession) model that can clinically explain the symptoms of PSD during the rehabilitation stage. A first-order CFA confirmed the EFA model with good model fit indices, and the second-order CFA further confirmed the five-factor structure model and showed acceptable model fit indices. Acceptable reliability and validity were also achieved by the corresponding indicators. CONCLUSION: The SMPSD-RS was proven to have a stable factor structure and was confirmed to be reliable and valid for assessing PSD symptoms in stroke patients during the rehabilitation stage.

Fear of disease progression and resilience parallelly mediated the effect of post-stroke fatigue on post-stroke depression: A cross-sectional study.

AIMS: To explore the effect of post-stroke fatigue (PSF) on post-stroke depression (PSD) and examine the mediating effects of fear of disease progression (FOP) and resilience between PSF and PSD. DESIGN: A cross-sectional study. METHODS: A total of 315 stroke patients participated in the questionnaire survey between November 2022 and June 2023. Data were collected using the General Information Questionnaire, Fatigue Severity Scale, Fear of Disease Progression Questionnaire-Short Form, Connor-Davidson Resilience Scale-10 Item and Hospital Anxiety and Depression Scale-Depression Subscale. Data were analysed by descriptive analysis, Mann-Whitney U-test, Kruskal-Wallis H-test, Pearson or Spearman correlation, hierarchical regression analysis and mediation analysis. RESULTS: PSF had a significant positive total effect on PSD (ß = .354, 95% CI: .251, .454). Additionally, FOP and resilience played a partial parallel-mediating role in the relationship between PSF and PSD (ß = .202, 95% CI: .140, .265), and the total indirect effect accounted for 57.06% of the total effect. CONCLUSIONS: FOP and resilience parallelly mediated the effect of PSF on PSD, which may provide a novel perspective for healthcare professionals in preventing PSD. Targeted interventions aiming at reducing PSF, lowering FOP levels and enhancing resilience may be possible ways to alleviate PSD. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: Interventions that tail to reducing PSF, lowering FOP levels and enhancing resilience may be considered as possible ways to alleviate PSD. IMPACT: This study enriched the literature by exploring the effect of PSF on PSD and further examining the mediating effects of FOP and resilience between PSF and PSD. Findings emphasized the important effects of PSF, FOP and resilience on PSD. REPORTING METHOD: The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for cross-sectional studies was used to guide reporting. PATIENT OR PUBLIC CONTRIBUTION: One tertiary hospital assisted participants recruitment.

Stressors and coping styles of nursing students in the middle period of clinical practicum: a qualitative study.

BACKGROUND: Nursing students encounter various stressors during their clinical practicum; however, the stressors are not the same during different periods. At present, studies on the stressors and coping styles of nursing students in the middle period of their clinical practicum are rare. AIMS: The current study aimed to explore the stressors and coping styles of nursing students in the middle period of their clinical practicum. METHODS: A qualitative study with a descriptive phenomenological method was conducted to collect data from 10 nursing students undergoing the middle period of their clinical practicum from December 2020 to February 2021. The data were collected by semistructured interviews using interview outlines prepared in advance. The data were analyzed by Colaizzi's analysis method. RESULTS: The stressors experienced by nursing students in the middle period of their clinical practicum mainly included personal reasons, teaching arrangements, interpersonal relationships, occupational particularity and career planning. Additionally, nursing students coped with the stressors that they face in the clinical practicum by eliminating stressors and regulating emotions. CONCLUSIONS: Nursing students experienced various stressors and used a variety of coping styles in the middle period of their clinical practicum, which was different from what occurred in the early and late periods. Targeted interventions should be formulated and implemented to relieve nursing students' stress and guide them to adopt effective coping styles.

Establishment of a model for predicting preterm birth based on the machine learning algorithm.

BACKGROUND: The purpose of this study was to construct a preterm birth prediction model based on electronic health records and to provide a reference for preterm birth prediction in the future. METHODS: This was a cross-sectional design. The risk factors for the outcomes of preterm birth were assessed by multifactor logistic regression analysis. In this study, a logical regression model, decision tree, Naive Bayes, support vector machine, and AdaBoost are used to construct the prediction model. Accuracy, recall, precision, F1 value, and receiver operating characteristic curve, were used to evaluate the prediction performance of the model, and the clinical application of the model was verified. RESULTS: A total of 5411 participants were included and were used for model construction. AdaBoost model has the best prediction ability among the five models. The accuracy of the model for the prediction of "non-preterm birth" was the highest, reaching 100%, and that of "preterm birth" was 72.73%. CONCLUSIONS: By constructing a preterm birth prediction model based on electronic health records, we believe that machine algorithms have great potential for preterm birth identification. However, more relevant studies are needed before its application in the clinic.

A new method based on dispersive liquid-liquid microextraction for fat-soluble vitamin determination in serum by LC-MS/MS.

A green and inexpensive pretreatment known as dispersive liquid-liquid microextraction (DLLME) was developed in this assay coupled with the LC-MS/MS method for routine analysis of fat soluble vitamins (FSVs). The technique was performed with methanol as the dispersive solvent and dichloromethane as the extraction solvent. The extraction phase containing FSVs was evaporated to dryness and reconstituted in a mixture of acetonitrile and water. The influence variables concerning the DLLME procedure were optimized. After that, the method was investigated for its applicability in LC-MS/MS analysis. As a result, the parameters were settled for the optimal conditions during the DLLME process. A cheap and lipid-free substance was found as an alternative to serum to eliminate the matrix effect while preparing the calibrators. The method validation indicated that it was suitable for determining FSVs in serum. Moreover, this method was applied successfully to determine serum samples, which was consistent with the literature. In summary, the DLLME method developed in this report was reliable and more cost-effective than the traditional LC-MS/MS method, and could be applied in the future.

Development and validation of the Health Education Adherence Scale for Stroke Patients: a cross-sectional study.

BACKGROUND: Due to the lack of health education adherence assessment tools for stroke patients, the assessment of health education adherence in this population is insufficient, which hinders the prevention and rehabilitation of stroke. This study aims to develop and validate a Health Education Adherence Scale for Stroke Patients (HEAS-SP). METHODS: A cross-sectional design with a purposive sampling method was used for this study. Six hundred and fifty-four eligible participants completed the demographic questionnaire and the HEAS-SP. The data collection lasted for 7 months, from March 1stto September 30th in 2019. Item analysis and exploratory and confirmatory factor analysis were employed to develop and validate the HEAS-SP. RESULTS: The item analysis, exploratory and confirmatory factor analysis resulted in a 20-item HEAS-SP with 4 domains: medication adherence, diet adherence, rehabilitation exercise adherence, and healthy lifestyle adherence. The four-domain model demonstrated acceptable model fit indexes and the 20-item HEAS-SP demonstrated acceptable reliability and validity. CONCLUSION: The 20-item HEAS-SP was shown to have acceptable reliability and validity for assessing health education adherence with respect to diet, medication, rehabilitation exercise and healthy lifestyle in stroke patients, making it a potential basis for developing targeted interventions for stroke patients.

Perceived social support in Chinese family caregivers of patients with dementia.

AIM: This study aimed to describe levels of social support and explore the factors predictive of social support for Chinese family caregivers of patients with dementia. BACKGROUND: Social support levels and their predictive factors in Chinese dementia caregivers have not been well documented, which need to be further clarified to provide a basis for creating effective social support strategies. METHODS: This was a cross-sectional study with 91 participants who completed a demographic questionnaire and the Social Support Rating Scale from 2015 to 2016. RESULTS: Chinese family caregivers of patients with dementia received moderate social support. Caregivers' subjective support domain scores and support utilization domain scores were significantly lower than those of the normal Chinese population, whereas caregivers' total social support scores were higher than those of the normal Chinese population. Family caregivers' monthly household income, educational level and place of residence were predictors of their own social support. CONCLUSION: Social support in Chinese caregivers of patients with dementia needs to be improved, especially the subjective support and support utilization. Healthcare professionals should pay special attention to caregivers with a lower monthly household income and educational level and caregivers who lived in the suburban area.

Early Symptom Measurement of Post-Stroke Depression: Development and validation of a new short version.

AIMS: The aim of this study was to develop and test the psychometric properties of the Early Symptom Measurement of Post-Stroke Depression-Short Form (ESMPSD-SF). BACKGROUND: The ESMPSD is a specific measurement tool designed to detect early depressive symptoms in acute stroke patients, but it is too long for use in busy clinical settings. DESIGN: A psychometric study was conducted. METHODS: Five hundred and twenty-one post-stroke patients completed two questionnaires, the demographic and the ESMPSD questionnaire, over a period of 10 months, from July 2016-April 2017. The item reduction process was used to reduce the number of items in the ESMPSD questionnaire and consisted of item analysis, exploratory, and confirmatory factor analysis. RESULTS: The item reduction process resulted in a 12-item short version questionnaire with evidence of acceptable construct validity and internal reliability. Four factors explaining high total variance were extracted: "low," "guilt," "emotional," and "wakefulness". Estimates of all confirmatory model fit indices met the standard criteria. All standardized factor loading estimates of the 12 items met the standard criteria and the variances explained by the items were acceptable. Moreover, internal reliability estimates of the 12-item questionnaire were acceptable, and the corrected item-total correlation and item-subscale correlation also demonstrated evidence of acceptable reliability of the short form questionnaire. CONCLUSIONS: The ESMPSD-SF demonstrates evidence of acceptable reliability and validity to screen early depressive symptoms in acute stroke patients in busy clinical settings.

Development and initial validation of a clinical measure to assess early symptoms of post-stroke depression in the acute stroke patient.

AIMS AND OBJECTIVES: To evaluate a measure specifically developed to clinically assess early symptoms of poststroke depression (PSD) in acute stroke patients. BACKGROUND: Poststroke depression is associated with elevated rates of morbidity and mortality following a mild-to-moderate stroke. Measures currently used to assess depression in acute poststroke patients can lack the clinical specificity necessary to detect symptoms within 30 days poststroke. DESIGN: A two-round Delphi design was used to estimate symptom consensus. METHODS: Three panels, healthcare professionals (N = 74), experts (N = 16) and acute poststroke patients (N = 40), evaluated an initial set of symptom-items systematically developed by the research team. RESULTS: Our study yielded consensus for 29 symptom-items. Additional symptoms recommended by acute poststroke patients increased the final number of symptoms to 35. CONCLUSIONS: We developed a specific measure of early symptoms of PSD in acute stroke patients with good content validity. RELEVANCE TO CLINICAL PRACTICE: The specific clinical relevance of our findings lies in the consensus of health professionals, the Delphi panel and patients regarding core areas of clinical assessment during the acute poststroke phase. And our findings may draw attention to the need to assess and treat acute stroke patients with early symptoms of PSD.

Diet Supplemented with Special Formula Milk Powder Promotes the Growth of the Brain in Rats.

This investigation was to study the effects of different formula components on the brain growth of rats. Fifty male SD rats were randomly divided into five groups: a basic diet group; a 20% ordinary milk powder group; a 20% special milk powder group; a 30% ordinary milk powder group; and a 30% special milk powder group by weight. LC-MS was used to detect brain lipidomics. After 28 days of feeding, compared with the basic diet group, the brain/body weights of rats in the 30% ordinary milk powder group were increased. The serum levels of 5-HIAA in the 30% ordinary milk powder group were lower than in the 20% ordinary milk powder group. Compared with the basic diet group, the expressions of DLCL, MePC, PI, and GM1 were higher in the groups with added special milk powder, while the expressions of LPE, LdMePE, SM, and MGTG were higher in the groups with added ordinary milk powder. The expression of MBP was significantly higher in the 20% ordinary group. This study found that different formula components of infant milk powder could affect brain growth in SD rats. The addition of special formula infant milk powder may have beneficial effects on rat brains by regulating brain lipid expression.

Combined blood pressure and heart rate trajectories are associated with prognosis in critically ill patients with acute aortic dissection: A group-based multi-trajectory analysis.

Background: Managing systolic blood pressure (SBP), diastolic blood pressure (DBP), and heart rate (HR) is pivotal in acute aortic dissection (AAD) care. However, no prior studies have jointly analyzed the trajectories of these parameters. This research aimed to characterize their joint longitudinal trajectories and investigate the influence on AAD prognosis. Methods: We included AAD patients from the Medical Information Mart for Intensive Care (MIMIC)-IV database. Using group-based multi-trajectory modeling (GBMTM), we identified combined trajectories of SBP, DBP, and HR within the initial 24 h of intensive care unit (ICU) admission. Cox proportional hazard regression, log-binomial regression, and logistic regression were employed to assess the association between trajectory groups and mortality outcomes. Results: Data from 337 patients were analyzed. GBMTM identified five combined trajectory groups. Group 1 featured rapidly declining SBP and DBP with high pulse pressure and low HR; Group 2 showed high to moderate SBP with slight rebound and persistently low HR; Group 3 displayed persistently moderate BP and HR; Group 4 was characterized by moderate blood pressure with persistently high HR; and Group 5 had high to moderate SBP with slight rebound, high but gradually declining DBP, and slightly high HR. Group 3 demonstrated a lower risk of mortality, with an adjusted hazard ratio of 0.32 (95 % CI, 0.14-0.74), and the adjusted relative risks for in-hospital, 30-day, and 1-year mortalities were 0.37 (95 % CI, 0.15-0.87), 0.25 (95 % CI, 0.10-0.62), and 0.41 (95 % CI, 0.22-0.79), respectively. The time-independent C-index curve demonstrated that the multi-trajectory groups had higher C-index values than any univariate trajectory groups or admission values of SBP, DBP, and HR. Conclusions: Utilization of GBMTM can yield data-driven insights to identify distinct subphenotypes in AAD patients. The combined trajectories of SBP, DBP, and HR within 24 h of ICU admission significantly influenced the mortality rate.

Affiliate Stigma among family caregivers of individuals with dementia in China: a cross-sectional study.

Background: Affiliate stigma experienced by family caregivers of individuals with dementia may seriously affect home care and prognosis of these patients. This study aimed to explore the levels of perceived affiliate stigma and its influencing factors among family caregivers of patients with dementia in mainland China, which remains a relatively unexplored topic. Methods: In this cross-sectional study, purposive sampling was used to recruit dementia family caregivers from an online communication group between April and May 2022. A total of 727 eligible caregivers were included and asked to complete the demographic questionnaire, the affiliate stigma scale, and the caregiver burden inventory. Descriptive statistics, independent sample t-test, one-way analysis of variance, Pearson correlation analysis, and multiple linear regression were used to explore the factors that influence perceived affiliate stigma among dementia family caregivers. Results: The mean score for affiliate stigma of dementia family caregivers was 48.09 ± 16.38 (range: 22-86). Whether there were regular breaks during patient care, time-dependent burden, developmental burden, physical burden, and social burden were significant factors influencing the affiliate stigma of dementia family caregivers. Conclusion: Dementia family caregivers showed a moderate to high level of affiliate stigma. Those who had regular breaks during patient care, higher time-dependent burden, developmental burden, and physical burden and lower social burden exhibited higher levels of affiliate stigma.

Enhancing immune regulation in vitro: the synergistic impact of 3'-sialyllactose and osteopontin in a nutrient blend following influenza virus infection.

Natural components of breast milk, human milk oligosaccharides (HMOs) and osteopontin (OPN) have been shown to have a variety of functional activities and are widely used in infant formulas. However, the preventive and therapeutic effects of both on influenza viruses are not known. In this study, antiviral assays using a human laryngeal carcinoma cell line (HEP-2) showed that 3'-sialyllactose (3'-SL) and OPN had the best antiviral ability with IC50 values of 33.46 µM and 1.65 µM, respectively. 3'-SL (10 µM) and OPN (4 µM) were used in combination to achieve 75% inhibition. Further studies found that the combination of 200 µg/mL of 3'-SL with 500 µg/mL of OPN exerted the best antiviral ability. The reason for this was related to reduced levels of the cytokines TNF-α, IL-6, and iNOS in relation to mRNA expression. Plaque assay and TCID50 assay found the same results and verified synergistic effects. Our research indicates that a combination of 3'-SL and OPN can effectively reduce inflammatory storms and exhibit anti-influenza virus effects through synergistic action.

Longitudinal Changes in Human Milk Minerals and Vitamins in the Chinese Population: A Scoping Review.

This scoping review aims to investigate longitudinal changes in minerals and vitamins concentrations in human milk among the Chinese population. Following the PRISMA-ScR guidelines, a comprehensive and systematic literature search was conducted using both English and Chinese databases. Data were extracted and categorized into six defined lactation stages. We found that the concentration of most minerals decreased throughout the lactation period, although calcium (Ca) and magnesium (Mg) fluctuated slightly across lactation periods. Fat-soluble vitamins also showed a decline throughout the lactation period, while water-soluble vitamins exhibited an increasing trend. However, folic acid, biotin, and pantothenic acid demonstrated a downward trend. Overall, this review has identified the longitudinal changes in minerals and vitamins concentrations in human milk among the Chinese population. In order to conduct a more in-depth examination of maternal characteristics and nutritional factors of the composition of human milk, it is recommended to utilize standardized protocols for the collection and analysis of human milk samples.

The effect of sleep problems on core self-evaluations in undergraduate nursing students and the role of emotion regulation and resilience: A cross-sectional study.

BACKGROUND: Nursing students are prone to sleep problems that affect their core self-evaluations. However, little attention has been paid to the specific roles of emotion regulation (including cognitive reappraisal and expressive suppression) and resilience in this process. OBJECTIVES: This study aimed to explore 1) the direct effect of sleep problems on core self-evaluations among nursing students; 2) the chain-mediating effect of cognitive reappraisal and resilience on the relationship between sleep problems and core self-evaluations; 3) the moderating effect of expressive suppression on the direct relationship between sleep problems and core self-evaluations; and 4) the moderating effect of expressive suppression on the indirect relationship between sleep problems affecting core self-evaluations through resilience. METHODS: A total of 345 nursing students completed a survey conducted between September and October 2022. Data was analyzed using descriptive analysis, Fisher exact test, Kruskal-Wallis H test, Spearman correlation analysis, and hierarchical regression analysis. Additionally, the SPSS PROCESS V4.0 plug-in was used to verify the moderated chain-mediating effect. RESULTS: Sleep problems directly affected core self-evaluations among nursing students. Cognitive reappraisal and resilience played a partial chain-mediating role in the relationship between sleep problems and core self-evaluations, with expressive suppression having a direct moderating effect. CONCLUSIONS: Opportunities exist for enhancing the core self-evaluations of nursing students by addressing their sleep problems, promoting cognitive reappraisal strategies, and increasing resilience. Additionally, encouraging expressive suppression can mitigate the negative impact of sleep problems on nursing students' core self-evaluations.

Emotion regulation in undergraduate nursing students: A latent profile analysis.

BACKGROUND: Current research on emotion regulation of undergraduate nursing students mainly focused on the overall level of emotion regulation and its relationship with other variables, ignoring the individual heterogeneity of emotion regulation of undergraduate nursing students. AIM: By latent profile analysis (LPA), this study aimed to identify different emotion regulation profiles among undergraduate nursing students and to explore demographic and personal factors associated with different emotion regulation profiles. METHOD: This was a cross-sectional study. A total of 578 nursing students were investigated by the demographic questionnaire, the emotion regulation scale, the Connor-Davidson resilience scale-10 item and the core self-evaluations scale. LPA was used to analyze the latent profiles of emotion regulation among undergraduate nursing students. And multiple logistic regression was used to explore the predictors of different profiles. RESULT: Three potential profiles were identified: profile 1-- low suppression and moderate reappraisal group, profile 2-- moderate suppression and high reappraisal group, profile 3-- high suppression and high reappraisal group. Resilience, family monthly income and perception of nursing profession were predictors of different profiles. CONCLUSION: Most nursing students were classified into profile 2 and their emotion regulation was relatively good. However, students in profile 1 were with moderate cognitive reappraisal and students in profile 3 were with high expressive suppression, and their emotion regulation need to be further improved by increasing their cognitive reappraisal and decreasing their expressive suppression. Strategies tails to improve resilience, increase scholarships and change the perception of nursing profession may be effective ways to improve emotion regulation of undergraduate nursing students in different profiles.

Development and validation of a deep eutectic solvent-assisted liquid-liquid extraction method for simultaneous quantification of six steroid hormones in serum by liquid chromatography-tandem mass spectrometry.

Steroid hormones have been reported to be associated with endocrine system diseases. This paper proposes a novel procedure of deep eutectic solvent (DES)-assisted liquid-liquid extraction (LLE) to extract six steroid hormones (including cortisone, cortisol, androstenedione, testosterone, 17-hydroxyprogesterone, and progesterone) from serum coupled with liquid chromatography-tandem mass spectrometry (LC-MS/MS). A total of five types of L-proline, choline chloride, and citric acid-based DESs were tailored; the DES from L-proline and ethylene glycol at a molar ratio of 1:4 with 20 % acetonitrile was selected as the best-fit assisted solvent for the six steroid hormones compared with other DESs. The parameters for extraction by selected DES were optimized using Box-Behnken design (BBD), and the optimal extraction conditions are 200 µL of acetonitrile, 100 µL of the sample, and 80 µL of DES. Under optimum conditions, the method has good linear calibration ranges (between 0.07 ng mL-1 and 600 ng mL-1), correlation coefficients of determination (r2>0.99), and low limits of quantification (between 0.02 and 0.60 ng mL-1). The extraction recoveries were in the range of 81.84-114.43 %, and the intra-day and inter-day relative standard deviations (RSDs) were less than 10 %.In general, the DES-LC-MS/MS method is a simple and environmentally-friendly method, which can be complementary to the presently available methods for determining steroid hormones in serum.

Latent profiles of nursing students' professional identity and their relationship with stress and coping styles during clinical practicum.

AIM: This study aimed to identify the latent profiles of professional identity among nursing students and explore the factors associated with different profiles. BACKGROUND: Nursing students' professional identity is easily influenced by various factors. However, current studies mainly focused on the overall level of professional identity and its related factors, ignoring the population heterogeneity of nursing students' professional identity. DESIGN: A cross-sectional study. METHODS: A convenient sampling was used to collect data from 384 nursing students who were undergoing their clinical practicum in the affiliated hospitals of a medical university in China between January and April 2021. Data were collected using the demographic questionnaire, the nursing student internship stress scale, the simplified coping style questionnaire, and the professional identity scale for nursing students. A latent profile analysis was used to identify the latent profiles of professional identity. Kruskal-Wallis H test, analysis of variance and ordinal logistic regression were used to determine factors that were associated with different profiles of professional identity. RESULT: Nursing students' professional identity could be classified into four profiles: low professional identity, relatively low professional identity, relatively high professional identity and high professional identity. These four profiles showed unique relationships with choosing nursing voluntarily, willing to be a clinical nursing staff, stress in conflict between study and work, and positive coping styles. CONCLUSION: The majority of the nursing students were classified into profile 1 (low professional identity) and 2 ( relatively low professional identity). Nursing students' lower professional identity need to be further enhanced by improving social recognition of nurses to increase the willingness of high school graduates to choose nursing voluntarily, allocating nursing workforce rationally to increase the willingness of nursing student to be a clinical nursing staff, reducing nursing students' stress in conflict between study and work and encouraging them to adopt positive coping styles.

Psychometric properties of the post-stroke depression scale in the sequelae stage.

Aim: To evaluate the psychometric properties of the Post-Stroke Depression Scale in the Sequelae Stage (PSDS-SS). Background: The incidence of the sequelae stage Post-Stroke Depression (PSD) is high, and the best screening tools are still lacking. Under this circumstances, our research team developed the PSDS-SS by Delphi method, but its psychometric properties need to be further verified. Method: This was a cross-sectional study. Seven hundred and sixteen stroke patients in the sequelae stage were enrolled by purpose sampling from May 2022 to September 2022. The exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to verify the factor structure of the scale. The reliability of the scale was tested by Cronbach's α coefficient, test-retest reliability and composite reliability. The validity of the scale was tested by criterion-related validity, convergent and discriminant validity. Result: Eight items were deleted through item analysis. The EFA ended up with a 5-factor scale including 24 items after removing one item with low factor loading. Finally, a 21-item model was established by confirmatory factor analysis, and all the fit indexes were acceptable. The reliability and validity of the total scale and each factor are acceptable. Conclusion: The PSDS-SS has a stable factor structure, and demonstrated good reliability and validity. And it would be an effective tool to assess PSD in the sequelae stage.