Conectar
To explore baseline activities of daily living (ADL) profiles and their association with memory decline over time in cognitively healthy, community-dwelling older adults.
Observational panel study.
This study analysed data from Waves 7–10 of the English Longitudinal Study of Ageing (the search was performed on May 28, 2024), including 2925 older adults aged above 65 with no dementia or cognitive impairments at baseline (Wave 7, 2014–2015). To categorise participants by their daily functional abilities at baseline, latent class analysis was conducted to derive participants' activities of daily living profiles. A linear mixed model was used to explore whether these baseline activity profiles might predict different memory decline rates (trajectories) over time, accounting for baseline demographic factors (gender, age, ethnicity, education, marital status and chronic diseases).
Social demographics (younger age, female gender, white ethnicity, higher education and being partnered) and ADL profiles outweigh health conditions in predicting participants' memory function. Different baseline profiles were linked to different memory decline trajectories. An impairment profile with grocery shopping capability was linked to slower memory decline.
This study showed that ADL profiles had a substantial correlation with memory decline, accounting for the significant impact of sociodemographic factors. An impairment profile that preserved grocery shopping abilities appeared to offer protective benefits and potentially slow memory decline.
Strengthening nursing strategies that support older adults in maintaining the ability to grocery shop, such as guiding caregivers to promote involvement rather than shopping for the older adults entirely, or accompanying older adults grocery shopping as part of community nursing care, might help delay age-related memory decline in this population.
Patients or members of the public were not directly involved in the study's design, conduct, reporting, or dissemination plans.
To explore the concurrent trajectories of depressive symptoms and insomnia among adolescents and to analyse the individual, familial and social predictors of the concurrent trajectories.
This study tracked depressive symptoms and insomnia in eight secondary schools annually from 2021 to 2023. We also collected data on individual, familial and social factors that may influence these conditions. Group-based multi-trajectory (GBMT) modelling was used to categorise adolescents into depressive–insomnia severity subgroups.
This study included 2822 adolescents, who were categorised into four groups, including the no symptom group, mild symptom group, symptom relief group and symptom increase group. Compared with the no symptom group, predictors of the mild symptom group were gender (OR = 1.30), academic performance (OR = 1.57), subjective well-being (OR = 0.78), anxiety (OR = 1.14), economic status (OR = 1.23) and relationship with teachers (OR = 1.46). Predictors of the symptom relief group were personality (OR = 1.75), academic performance (OR = 2.28), subjective well-being (OR = 0.69) and anxiety (OR = 1.25). Predictors of the symptom-increasing group were personality (OR = 2.45), academic performance (OR = 1.96), subjective well-being (OR = 0.69), anxiety (OR = 1.20), maternal education level (OR = 1.58), family function (OR = 0.93), parental relationship (OR = 2.07) and relationship with teachers (OR = 1.54).
This study provided a comprehensive understanding of the concurrent trajectories of depressive symptoms and insomnia among adolescents, revealing distinct subgroups and identifying predictors across individual, familial and social levels.
This study emphasises the importance of a multi-faceted approach involving family, school and society to promote adolescent mental health and also highlights the need for conducting precise interventions according to adolescents' features.
The identification of four distinct symptom trajectories and their predictors advances the understanding of adolescent mental health development, informing precision prevention strategies.
STROBE checklist.
None.
To examine the relationship among leadership, clinical teaching competencies, and structural empowerment of nursing clinical instructors in China.
A cross-sectional study.
A total of 152 nurses who come from three Grade A tertiary hospitals located in Beijing, Kunming, and Liaoning Province, China, completed an online questionnaire that included general information, clinical teaching information, the Conditions of Work Effectiveness Questionnaire-II, nurse leadership, and structural empowerment. SPSS 26.0 and AMOS 26.0 were used for normality test, descriptive statistics, correlation analysis, regression analysis, and structural equation model.
The study revealed that nurse leadership (r = 0.402) and structural empowerment (r = 0.568) both positively correlated with clinical teaching competencies. Specifically, the level of nurse leadership exhibited a low but direct positive effect on these competencies (β = 0.22), while the level of structural empowerment demonstrated a moderate direct positive effect (β = 0.56).
Enhancing nurse leadership and structural empowerment positively influence the clinical teaching competencies of nursing instructors.
Constructing a structural equation model to describe the relationship between leadership, structural empowerment, and teaching ability can provide the most intuitive direction for future research, so as to better improve the teaching ability of clinical nursing teachers.
No patient or public contribution.
To investigate factors affecting the quality of life of parents of children with spina bifida and examine how family resilience mediates between parental depression and quality of life.
Cross–sectional study.
Secondary data analysis was performed using first-year data from a five-year spina bifida cohort project (2022–2026) in South Korea. The study included 162 parents of children aged 4–12 years with spina bifida. Data were collected using the Korean version of the Family Resiliency Scale, the Center for Epidemiologic Studies Depression Scale, and the WHO Quality of Life Scale.
Factors were found to have a statistically significant influence on the quality of life of parents of children with spina bifida: the child's need for enemas, parental stress, parental depression, and family resilience. Baron & Kenny's mediation analysis and bootstrap analysis in SPSS further confirmed that family resilience plays a mediating role between parental depression and quality of life. The indirect effect of parental depression on quality of life through family resilience was statistically significant, with a 95% confidence interval of [−0.2615, −0.0516].
The quality of life of parents with children with spina bifida is significantly influenced by both their child's daily symptom management and their psychological health. Family resilience plays a positive mediating role between parental depression and quality of life.
These findings support a two-track approach to family resilience building programs and the development of core intervention strategies to enhance the quality of life in spina bifida families.
This study adhered to Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.
There was no direct patient involvement in the study design, data collection, or analysis.
To develop a comprehensive and psychometrically validated scale for evaluating the core competencies of community nurses for public health emergencies.
A study of instrument development and validation was conducted.
A total of 1057 community nurses provided valid responses for this study conducted in Shanghai, China. Building upon previous study findings of the adapted core competency model and integrating the World Health Organisation's Framework for Action, this study was conducted in two phases. First, scale items were developed through systematic review, qualitative research, stakeholder meeting, and Delphi survey, refined with cognitive interviews to establish version 1.0 of the scale. Second, item analysis was performed with item-total correlations, Cronbach's alpha, and exploratory factor analysis, resulting in version 2.0. The final scale was produced after assessing the validity (content validity, confirmatory factor analysis, known-groups validity) and reliability (internal consistency, test–retest reliability).
The final scale consisted of 47 items categorised into four competency factors: prevention, preparation, response, and recovery competency. Factor analysis results indicated adequate factor loadings, excellent model fit, and well-established construct validity. The overall scale and its sub-factors exhibited high internal consistency and good test–retest reliability.
The study presents a theoretically grounded and scientifically validated scale measuring the competencies that community nurses need for public health emergency response.
This study enhances the theoretical framework of community nurses' core competencies in public health emergencies, provides a validated assessment tool, and clarifies their role in enhancing preparedness and effectiveness.
The study addressed the need for a standardised tool for assessing community nurse core competency for public health emergencies and will impact policy initiatives to enhance early prevention, emergency response, and integrated recovery practices in crisis management.
Strengthening the Reporting of Observational studies in Epidemiology checklist.
No Patient or Public Contribution.
To investigate how leadership support influences nurses' innovation behaviour through the chain mediation of creativity, role identity and knowledge sharing.
Despite the recognised role of leadership in fostering innovation, the mechanisms linking leadership support to nurses' innovative behaviours remain under explored. Clarifying how creativity, role identity and knowledge sharing mediate this relationship is critical for optimising nursing practices.
This was a quantitative cross-sectional study.
A cross-sectional survey was conducted in March 2024 to collect data using the Leadership Innovation Support Scale, Creativity Role Identity Scale, Knowledge Sharing Scale and Nurses' Innovative Behavior Scale. Descriptive analysis, correlation analysis and chain-mediated effect analysis were performed using SPSS 26.0.
We found a positive relationship between leadership support and nurses' innovation behaviour; creativity role identity and knowledge sharing played a mediating role in this relationship. Moreover, there was a significant chain mediating effect of creativity role identity and knowledge sharing on the relationship between leader support and nurses' innovation behaviour.
Creativity role identity and knowledge sharing act as a chain-mediated mechanism between leadership support and nurses' innovative behaviours. Therefore, hospital managers should focus on the level of leadership support for innovation among nurses and implement targeted measures focusing on creativity role identity and knowledge sharing to improve nurses' innovation.
To promote the development of innovation in healthcare institutions, motivating nurses' innovative behaviour has become a key focus. Based on role identity theory and social exchange theory, this study explores the chain mediation effects of innovative role identity and knowledge sharing between leadership support and nurses' innovative behaviour. This suggests that supervisors can enhance support to help nurses better recognise their role in the innovation process, promoting the exchange of experiences and sharing of innovative outcomes, thereby further stimulating the overall innovation ability of the team.
None.
To explore the conceptualisation of social frailty and discuss its role in shaping the disease trajectory of heart failure. Based on the discussion, recommendations on how to prevent and manage social frailty in this clinical cohort are delineated.
A discursive paper.
This paper searched two databases, PubMed and Google Scholar, for a narrative review of the literature related to social frailty and heart failure from 2008 to 2024.
By integrating the conceptualisation of social frailty from different theoretical paradigms, social frailty is a multi-domain construct that relies on a balance between the availability of environmental resources, social interactions and an individual's ability to maintain and acquire these resources to enhance their well-being. Substantial evidence showed the prognostic impact of social frailty on patient-reported, functional and clinical outcomes of patients with heart failure. The underlying mechanism is still under-investigated, but heart failure-related self-care may mediate its impact. Based on this evidence, improving social frailty may rely on a diagnostic protocol to enhance the person-centred care planning on ways to optimise the social resources to support complex self-care.
Social frailty poses a greater risk to health outcomes in patients with heart failure. Further research is needed to explore determinants and interventions for social frailty in this population.
This paper increases the awareness of social frailty in heart failure patients and provides important insights on how to combat this social determinant of poor health outcomes among this clinical cohort. A dual-purpose approach of improving social resources and self-care behaviours may have great promise in reducing their social frailty, and this postulation will need to be investigated in future research.
There is no involvement of patients or the public in the design or writing of this discursive paper.
The aim of this study was to innovatively utilise the BERTopic model for topic modelling in order to comprehensively identify and understand the factors contributing to bed falls.
Retrospective study.
The study collected 241 reports of bed fall accidents recorded by nurses from Peking University Third Hospital Nursing Department from 2014 to 2024. Among them, 102 reports met the inclusion and exclusion criteria.
This study follows the Minimum Information for Medical AI Reporting (MINIMAR). It collected patient bed fall reports from Peking University Third Hospital between 2014 and June 2024, preprocessed the texts, utilised the BERTopic library in Python for topic modelling, and manually aggregated secondary topics by combining visualisation results and professional knowledge.
We utilised cluster bar charts to visually display the distribution of the 22 secondary topics and further consolidated them into five core topics through the use of a topic distribution diagram and a topic similarity matrix diagram. These topics were related to patient factors, ward equipment and surroundings factors, medication risk factors, caregiver factors, and nursing practice factors. The study highlights the environment's specificity in bed falls, especially bedside safety and patient-bed rail interaction.
The innovation of this study lies in the successful utilisation of BERTopic technology to identify topics of risk factors for bed falls through alternative data sources, providing a scientific basis for formulating preventive measures. The findings aim to optimise nursing processes, improve ward environments and enhance educational training, ultimately reducing patient bed falls and enhancing medical safety, nursing quality and patient experience.
This study not only helps nurses identify risk factors for patient bed falls, but also provides important guidance for developing effective prevention strategies.
No patient or public contribution applied.
by Panawit Hanpinitsak, Tatpong Katanyukul, Norrawit Tonmitr, Chanon Suntra, Sora-at Tanusilp, Arthit Phuphaphud
Monitoring cattle behavior plays an important role in improving farm productivity, maintaining animal welfare, and supporting efficient management practices. This study presents a multi-view behavior recognition system that uses synchronized top-view and front-view CCTV footage, combined with deep learning techniques. The system includes four main components: cow identification, behavior classification, identity-behavior association using Intersection-over-Union (IoU), and a decision-level ensemble to combine information from both views. YOLOv8 models are applied separately to each camera angle to detect individual cows and classify six key behaviors: drinking, eating, standing, lying, riding, and chin resting, with the latter two being relevant for estrus detection. The system matches cow identities to their behaviors within each view and then integrates the results to produce a final activity label for each cow.by Ploy Khongrungjarat, Chonnikan Tothong, Chanyanut Pankaew, Suchada Phimsen, Nopawit Khamto, Nutthamon Kijchalao, Warissara Wongkham, Piyathida Wongkham, Wipaporn Chuaymaung, Adsadayu Thonnondang, Apinun Limmongkon
Prenylated stilbenoids, particularly trans-arachidin-1 (Ara-1) and trans-arachidin-3 (Ara-3), have gained attention for their notable bioactivities and potential health-promoting properties. This study presents the first comprehensive investigation into the stability and biological efficacy of these compounds in both peanut hairy root culture crude extracts (PCE) and partially purified fractions derived from elicited peanut hairy root cultures. PCE stored at –20 °C and 4 °C maintained higher antioxidant capacity, total phenolic content compared to samples stored at room temperature. In cytotoxicity assays using SW480 colon cancer cells, the extract stored at –20 °C retained bioactivity with only minor changes in IC₅₀ values over three months, demonstrating superior stability under frozen conditions. Over a six-month period, partially purified fractions of Ara-1 and Ara-3 showed a time-dependent decline in compound content. However, Ara-3 maintained strong cytotoxicity against KKU-100 cholangiocarcinoma cells, while Ara-1 exhibited a significant loss in activity. These findings demonstrate that low-temperature storage, particularly at –20 °C, is crucial for preserving the chemical integrity and bioactivity of stilbenoid-rich extracts. The study underscores the importance of optimizing storage conditions to ensure consistent bioactivity, supporting the potential application of these compounds in the development of stable and effective pharmaceutical or nutraceutical products.The treatment of chronic wounds in the Aged is often difficult. Masquelet technique is used for the treatment of infected large segmental bone defects as it provides an adequate blood supply for bone and soft tissue reconstruction. In this study, a two-stage wound management strategy was used, consisting of covering the initial wound with bone cement and skin grafting under induced membranes. From September 2020 to September 2022, 20 Aged patients with chronic refractory wounds of the lower extremities with exposed bone or tendons were recruited in the Department of Wound Repair Surgery of the Second Affiliated Hospital of Wenzhou Medical University. Each patient was reconstructed according to a two-stage process. In the first stage, while treating the patient's underlying disease, several debridements were first performed on the wound; subsequently, the Masquelet technique was applied to seal the wound with antibiotic bone cement. Four to 6 weeks later, the second stage was initiated—after confirming the sufficient formation of wound induced membranes, the bone cement was removed, and free skin grafts were finally used to cover the chronic refractory wounds on the extremities. The area of the defects ranged from 4.5 × 3.0 cm to 15.0 × 6.0 cm, and all soft tissue defects were associated with tendon or bone exposure. After the surgery, patients attended regular outpatient visits and were followed up by telephone and video to observe the healing of the wounds and whether there were any complications in the donor site. The Lower Extremity Function Scale (LEFS) score was used to evaluate the functional recovery of the lower extremities. We found that all implants survived without necrosis or infection. All 20 cases were followed up regularly after surgery for 3 to 12 months, with a mean of 7.6 months. In the first stage, Induced Membranes induction was performed 1–4 times, with an average of (1.3 ± 0.7) times, and in the second stage, free skin grafting was performed on the induction membrane, and all 20 cases of skin grafting survived without necrosis or infection; the appearance and texture of the skin in the grafted area were satisfactory, and the postoperative LEFS score was (69.83 ± 10.82). Finally, our strategy for the management of chronic refractory wounds in the Aged can achieve satisfactory clinical results, reduce surgical risk, be simple and reliable, and be an effective addition to the repair modality.
Autism spectrum disorder (ASD) is a neurodevelopmental condition characterised by impairments in social interaction, communication and the presence of repetitive behaviours. Recent advancements in brain-computer interface (BCI) technologies have demonstrated potential benefits in enhancing cognitive, social and communication skills in individuals with ASD. However, the effectiveness of BCI-based interventions in ASD rehabilitation remains inconsistent across studies. Therefore, this protocol outlines a systematic review and meta-analysis to synthesise the evidence on the effectiveness of BCI-based interventions for ASD rehabilitation.
We will conduct a comprehensive literature search across multiple databases, including MEDLINE Ovid, Embase Ovid, Cochrane Central Register of Controlled Trials (CENTRAL), Conference Proceedings Citation Index-Science (CPCI-S), Science Citation Index Expanded (SCI-EXPANDED) and so on, to identify relevant studies published from inception to the present. The search will be supplemented by screening the reference lists of included studies and relevant systematic reviews. Two independent reviewers will screen the titles, abstracts and full texts of identified studies for eligibility based on predefined criteria. Data extraction will be performed using a standardised form, and the risk of bias (RoB) will be assessed using the Cochrane RoB tool. Heterogeneity will be evaluated using the I² statistic, and a random-effects or fixed-effects model will be selected for meta-analysis based on the degree of heterogeneity. Subgroup analyses will be conducted to explore potential sources of heterogeneity, including participant age, ASD severity, type of BCI intervention and duration of the intervention. The review will be conducted from January 2026 to April 2026.
Ethical approval is not required for this study, as it does not involve the collection of primary data from individual patients. Findings will be disseminated through peer-reviewed publication and conference presentations.
CRD420251010496.
The study examines the associations between nursing competence, work environment, and health system resilience. It also analyzes how nursing competence and work environment relate to different patterns of health system resilience.
A multiple center cross-sectional study was conducted between December 2023 and January 2024 across 33 hospitals in eastern China, involving 2435 nurses.
Questionnaires measuring nursing competence, work environment resources, nurse disaster resilience, and organizational commitment to resilience were utilised, along with the collection of additional personal demographic data. Structural equation modelling and cluster analysis were performed to explore the underlying mechanisms within the overall model and across multiple groups. Multivariable regression was conducted to identify variables associated with resilience in different subgroups.
Structural equation modelling demonstrated significant influences of nursing competence and work environment support on system resilience. Cluster analysis identified four resilience patterns: strong, marginal, low, and critical vulnerability. Strong resilience correlated with balanced individual-organizational resources, while vulnerable systems relied heavily on environmental support.
Our findings support policymakers and managers in developing systematic strategies with distinct focal points—targeting nurse workforce investment and optimised work environment—to enhance health system resilience across varying levels of public health emergencies.
This study validated the framework connecting individual and organizational resilience, offering evidence-based insights for nurse training and resource allocation to enhance healthcare systems' adaptability during disasters.
The study addressed how nursing competence and work environment significantly influenced resilience during public health emergencies, identified four resilience patterns, and provided insights to guide policymakers and healthcare managers in developing targeted, effective strategies.
Strengthening the Reporting of Observational studies in Epidemiology checklist.
No patient or public contribution.
Nursing students are the primary reserve force for hospital nurses. With the shrinking of nurse human resources and the increase in turnover rates, understanding the job preferences of nursing students is crucial for attracting nursing students.
To systematically review published studies on discrete choice experiments involving nursing students.
Ten databases were systematically searched from their inception to January 15, 2025. Two researchers independently used the International Society for Pharmacoeconomics and Outcomes Research checklist to evaluate the quality of the included studies. Thematic analysis was used to classify the attributes into broad categories and corresponding subcategories. The frequency, significance, relative importance, and willingness-to-pay of each attribute in the included studies were analyzed.
Fifteen studies spanning 12 countries were included, with a total of 102 individual attributes extracted and divided into two broad categories and six subcategories. Non-financial attributes were the most frequently reported broad category. The subgroup analyses indicated that nursing students from high-income countries valued income and were highly concerned about the working atmosphere.
Linking Evidence to Action:
The results of this systematic review provide important evidence for developing incentive policies to attract nursing students to the nursing profession.
Nurse-led self-care interventions represent a promising approach for chronic pain management. However, a comprehensive synthesis of their efficacy is lacking.
This systematic review and meta-analysis assessed the impact of the interventions on four key outcomes in chronic pain patients: pain intensity, quality of life, anxiety levels, and depression severity.
The study was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. An electronic search for relevant articles spanning from inception to November 2024 was carried out across multiple databases, including EMBASE, PubMed, CENTRAL, Web of Science (Core Collection), CINAHL, Scopus, and PsycINFO. The Cochrane Risk of Bias Tool was used to assess the quality of the included studies. The meta-analysis was conducted using Stata 18 and Review Manager 5.4, and a GRADE evidence profile was subsequently generated.
The systematic review and meta-analysis involved 30 studies in total. The results of the data analysis indicated that the interventions alleviated pain intensity (SMD = −0.30, 95% CI: −0.41 to −0.20, Z = 5.57, p < 0.001). They also enhanced quality of life (SMD = 0.28, 95% CI: 0.14 to 0.42, Z = 3.83, p < 0.001), while reducing anxiety (SMD = −0.15, 95% CI: −0.29 to −0.01, Z = 2.11, p = 0.03) and depression symptoms (SMD = −0.27, 95% CI: −0.45 to −0.09, Z = 2.88, p = 0.004).
This systematic review demonstrated that nurse-led self-care interventions benefit chronic pain patients. Future research should conduct more rigorous randomized controlled trials to strengthen the evidence base for using such interventions in chronic pain management.
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