Conectar
To identify distinct social network types among young-old adults based on the characteristics of social network structure and to explore the relationship between different types, socio-demographic characteristics and subjective cognitive decline.
A cross-sectional study was conducted from July 2022 to October 2023.
A total of 652 young-old adults aged 60–74 years completed the sociodemographic questionnaire, the subjective cognitive decline questionnaire-9 and the self-designed egocentric social network questionnaire. The types of social networks were identified by latent profile analysis. Univariate analysis and binary logistic regression were used to analyse the influencing factors of subjective cognitive decline.
The incidence of subjective cognitive decline was 38%. Social networks of young-old adults tended to be large, predominantly family-centred and characterised by strong contact strength, high density and significant demographic heterogeneity among network members. Four social network types were identified: diverse-moderate, family-dense, family-strong and friend-loose. Young-old adults embedded in the family-dense and family-strong types were more likely to develop subjective cognitive decline than those in the diverse-moderate type. Additionally, age, education level, previous occupation, daily sleep duration and exercise were related to the incidence of subjective cognitive decline.
The findings highlight the relatively high incidence of subjective cognitive decline in young-old adults that is notably influenced by the type of social network they are embedded in. More attention needs to be paid to identifying and supporting young-old adults at high risk of subjective cognitive decline, especially to promote their social integration and friend network building, to improve their subjective cognitive function.
The findings emphasise the importance of considering the structure and composition of social networks when addressing subjective cognitive decline among young-old adults. A diversified social network incorporating both familial and friendship ties may provide enhanced cognitive protection. Therefore, interventions targeting subjective cognitive decline should promote the expansion of friendship-based relationships and foster the development of more heterogeneous and multi-source networks.
STROBE checklist.
Not applicable.
The effect of prophylactic clipping for colorectal cold snare polypectomy (CSP) on delayed bleeding (DB) in patients with antithrombotic drugs remains unverified. The aim of the PERCOLD study is to demonstrate the non-inferiority of DB rates in cases without prophylactic clips compared with cases with prophylactic clips in patients taking antithrombotic drugs for colorectal CSP through randomised controlled trial (RCT).
This study is a multicentre prospective parallel-group RCT phase 3 trial that is being conducted at 14 institutions in Japan at the time of writing this manuscript. After providing consent, patients will undergo screening and assessment for study enrolment eligibility. Patients taking antithrombotic drugs (aged 20 years or older at the time of consent and who have agreed to participate in this study) will be selected if they have a preoperative suspected adenoma (including sessile serrated lesion) with an endoscopic diameter of
The trial protocol has been approved by the Chiba University Certified Clinical Research Reviewer Board (CRB3180015), which serves as the central ethics committee, and registered with Japan Registry of Clinical Trials. The current protocol V.1.7, dated 4 October 2024. Written informed consent for participation in the study will be obtained from all participating patients. All participating institutions have formally agreed to conduct the study in accordance with this central approval, and local site permissions were obtained as required by each institution. The results of this study will be submitted for publication in international peer-reviewed journals and the key findings will be presented at international scientific conferences.
Japan Registry of Clinical Trials (jRCT1032230086).
Diabetic retinopathy (DR) in pregnancy can cause blindness. National guidelines recommend at least one eye examination in early pregnancy, then ideally 3-monthly, through to the postpartum for pregnant women with pregestational diabetes. Here we examined adherence rates, barriers and enablers to recommended DR screening guidelines.
Cross-sectional survey study, as part of a larger prospective cohort study.
Participants were recruited from two tertiary maternity hospitals in Melbourne, Australia.
Of the 173 pregnant women with type 1 (T1D) or type 2 diabetes (T2D) in the main cohort study, with an additional four who participated solely in this survey study, 130 (74.3%) completed the survey.
This study calculated rates of adherence to guideline-recommended DR screening schedules and collected data on the enablers and barriers to attendance using a modified Compliance with Annual Diabetic Eye Exams Survey. Each of the 5-point Likert-scale survey items was compared between adherent and non-adherent participants using the Wilcoxon rank-sum test and logistic regression models were constructed to quantify associations as ORs.
A retinal assessment was undertaken at least once during pregnancy in 86.3% of participants, but only 40.9% attended during their first trimester and only 21.2% attended the recommended number of examinations. Competing priorities were the main barriers to adherence, with eye examinations ranked as the fourth priority (IQR 4th–5th) among other health appointments during pregnancy. Meanwhile, knowledge of the benefits of eye screening examinations, eye-check reminders and support from relatives was identified as enablers.
Despite the risk of worsening DR during pregnancy, less than half of the participants adhered to recommended screening guidelines, suggesting that eye health is not a priority. Proactive measures to integrate care are needed to prevent visual loss in this growing population.
by Xie Qiu, Shuo Hu, Shumin Dong, Haijun Sun
ObjectiveTo develop a predictive framework integrating machine learning and clinical parameters for postoperative pulmonary complications (PPCs) in non-small cell lung cancer (NSCLC) patients undergoing video-assisted thoracic surgery (VATS).
MethodsThis retrospective study analyzed 286 NSCLC patients (2022–2024), incorporating 13 demographic, metabolic-inflammatory, and surgical variables. An Improved Blood-Sucking Leech Optimizer (IBSLO) enhanced via Cubic mapping and opposition-based learning was developed. Model performance was evaluated using AUC-ROC, F1-score, and decision curve analysis (DCA). SHAP interpretation identified key predictors.
ResultsThe IBSLO demonstrated significantly superior convergence performance versus original BSLO, ant lion optimizer (ALO), Harris hawks optimization (HHO), and whale optimization algorithm (WOA) across all 12 CEC2022 test functions. Subsequently, the IBSLO-optimized automated machine learning (AutoML) model achieved ROC-AUC/PR-AUC values of 0.9038/0.8091 (training set) and 0.8775/0.8175 (testing set), significantly outperforming four baseline models: logistic regression (LR), support vector machine (SVM), XGBoost, and LightGBM. SHAP interpretability identified six key predictors: preoperative leukocyte count, body mass index (BMI), surgical approach, age, intraoperative blood loss, and C-reactive protein (CRP). Decision curve analysis demonstrated significantly higher net clinical benefit of the AutoML model compared to conventional methods across expanded threshold probability ranges (training set: 8–99%; testing set: 3–80%).
ConclusionThis study establishes an interpretable machine learning framework that improves preoperative risk stratification for NSCLC patients, offering actionable guidance for thoracic oncology practice.
To describe the perspectives of individuals receiving haemodialysis regarding health literacy in fluid management.
A qualitative descriptive approach using directed content analysis of interviews from an explanatory mixed methods study.
Semi-structured individual interviews were conducted from September 2020 to February 2021 with 28 individuals receiving haemodialysis who had attended a prior quantitative study. A directed qualitative content analysis approach was used to identify categories and subcategories emerging from the data.
Six categories of health literacy were identified: (1) active health management, (2) engagement with healthcare providers, (3) understanding and support from healthcare providers, (4) social support, (5) health information literacy and (6) navigation of the healthcare system.
Based on their real-life experience, individuals receiving haemodialysis have unique health literacy needs regarding fluid management. A comprehensive understanding of these unique needs is crucial in creating person-centered interventions to address inadequate fluid restriction.
Interventions to address inadequate fluid restriction should be person-centered, considering each individual's unique health literacy needs. This involves conducting a comprehensive assessment of individuals' health literacy needs, empowering individuals to actively engage in health, engaging the entire support network and facilitating health information literacy in line with individuals' preferences.
This study offers detailed insights into the health literacy needs related to fluid management in individuals undergoing haemodialysis. The findings could inform the development of person-centered fluid management strategies for these individuals.
We adhered to the Consolidated Criteria for Reporting Qualitative Research checklist.
No patient or public contribution.
To understand the current situation of nurses' compassion competence and analyse the characteristics and influencing factors of different categories of nurses' compassion competence based on latent profile analysis, to provide a theoretical basis for formulating targeted compassion training programmes.
A cross-sectional study.
From June to October 2023, 550 nurses from tertiary grade A hospitals in Shandong province were selected by convenience sampling and investigated by utilising a demographic characteristics questionnaire, the Compassion Competence Scale for the Nurses, the Mindful Attention Awareness Scale and the Maslach Burnout Inventory-Human Service Survey. Latent profile analysis was performed to explore the potential categories of nurses' compassion competence, and single-factor analysis and logistic regression analysis were used to explore the related influencing factors.
A total of 513 nurses were included. The compassion competence of nurses could be divided into four categories: the compassion competence deficient group (7.56%), the compassion competence low-imbalanced group (15.35%), the compassion competence high-balanced group (50.38%) and the compassion competence excellent group (26.70%). Department, years of working, humanistic care training experience, whether work is supported by colleagues and leaders, mindfulness and job burnout were the influencing factors of different potential categories (all p < 0.05).
There are four categories into which nurses' compassion competency can be categorised. Nursing managers and medical institutions can formulate precise training methods that enhance nurses' compassion competency based on the traits of various nurse categories in order to improve the quality of nursing service.
The results of this study help to understand the categories and heterogeneity of nurses' compassion competence and provide a basis for nursing managers and medical institutions to improve the compassion competence of different categories of nurses.
All participants were nurses who completed an electronic questionnaire related to this study.
by Min Wang, Yushun Yan, Wanqiu Yang, Ruini He, Lingdan Zhao, Yikai Dou, Yuanmei Tao, Xiao Yang, Qingqing Xiang, Xiaohong Ma
Psychiatric nurses represent a high-stress occupational group that experiences elevated levels of suicidal ideation (SI), emphasizing the need for focused mental health interventions. The main purpose of this study was to examine the prevalence of SI among psychiatric nurses and to identify the psychological and occupational factors associated with SI. A total of 1,835 psychiatric nurses completed questionnaires on depressive symptoms (PHQ-9), SI, quality of work-related life (QWL), and burnout. Multivariate logistic regression and phenotypic network analyses were conducted to identify factors associated with SI and the potential pathways linking depressive symptoms, burnout, and QWL to SI. The results indicated that 11.33% of the participants had SI in the past two weeks. Multivariate logistic regression revealed that emotional exhaustion, depersonalization, personal accomplishment, stress at work, general well-being, and the home-work interface were significant predictors of SI. Network analysis further revealed that psychomotor changes, guilt, sad mood, low energy, and appetite changes were the symptoms most directly associated with SI. In addition, sad mood, general well-being, and work-home interface were linked to job and career satisfaction, whereas sad mood and low energy were associated with emotional exhaustion and SI. These findings contribute valuable large-scale evidence on the mental health challenges faced by psychiatric nurses and highlight the importance of addressing mood disturbances, energy loss, and work-related stress in SI prevention efforts for this vulnerable group.by Hongfei Liu, Wenli Li, Gaoqiang Fan, Qiaoyi Chen, Shulei Zhang, Beibei Zhang
This study aimed to investigate the effects of dietary chitosan oligosaccharide (COS) supplementation on growth performance, antioxidant capacity, immune function, duodenal digestive enzyme activity, and jejunal morphology in growing female minks. Ninety-six 12-week-old minks were randomly assigned to six groups (0, 100, 200, 300, 400, or 500 mg/kg COS), with 8 replicates per treatment and 2 minks per replicate, for an 8-week trial. The results showed that average daily gain (ADG) increased quadratically with increasing COS levels (P P P P P PThe rising burden of non-communicable diseases (NCDs), including mental health disorders (MHDs) such as anxiety and depression, poses a significant public health challenge globally. Evidence suggests that both diabetes and hypertension, the two most prevalent NCDs, are linked to a higher prevalence of MHDs. However, there is a lack of evidence on prevalence of generalised anxiety disorder (GAD) and depression among adults living with both diabetes and hypertension in Bangladesh. We aimed to assess the prevalence of GAD and depression and explore the associated factors among adults living with diabetes and hypertension comorbidity in rural Bangladesh.
We implemented a cross-sectional study.
The study was conducted in Chirirbandar, a sub-district of Dinajpur, Bangladesh.
We interviewed a total of 387 adults living with diabetes and hypertension comorbidity.
We had two primary outcome measures: GAD and depression. Individuals scoring ≥10 on the General Anxiety Disorder-7 scale were considered as having GAD and individuals scoring ≥10 on the Patient Health Questionnaire-9 scale were considered as having depression. The outcome variables were dichotomised based on these scores.
The prevalence of GAD was 7.24% (95% CI 5.04 to 10.29). Education level (grades 5–9) (adjusted OR (AOR): 3.40, 95% CI 1.26 to 9.19) and household wealth status (highest wealth tertile) (AOR: 0.12, 95% CI 0.02 to 0.62) were associated with GAD. The prevalence of depression was 17.83% (95% CI 14.32 to 21.98). Socioeconomic factors associated with depression included unemployment (AOR: 3.26, 95% CI 1.05 to 10.10) and household wealth status (highest wealth tertile) (AOR: 0.45, 95% CI 0.21 to 0.98). Higher odds of depression were also observed among participants with controlled hypertension (AOR: 3.88, 95% CI 1.81 to 8.35). Other factors, such as tobacco use, dietary diversity and physical activity, were not associated with GAD or depression.
A high prevalence of GAD and depression was observed among adults living with diabetes and hypertension comorbidity. The findings from the study emphasise the need for integration of mental health services into the existing non-communicable disease care. The identified factors associated with GAD or depression should be considered to develop targeted interventions for people with hypertension and diabetes comorbidity in Bangladesh.
To develop and validate a machine learning-based risk prediction model for delirium in older inpatients.
A prospective cohort study.
A prospective cohort study was conducted. Eighteen clinical features were prospectively collected from electronic medical records during hospitalisation to inform the model. Four machine learning algorithms were employed to develop and validate risk prediction models. The performance of all models in the training and test sets was evaluated using a combination of the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, Brier score, and other metrics before selecting the best model for SHAP interpretation.
A total of 973 older inpatient data were utilised for model construction and validation. The AUC of four machine learning models in the training and test sets ranged from 0.869 to 0.992; the accuracy ranged from 0.931 to 0.962; and the sensitivity ranged from 0.564 to 0.997. Compared to other models, the Random Forest model exhibited the best overall performance with an AUC of 0.908 (95% CI, 0.848, 0.968), an accuracy of 0.935, a sensitivity of 0.992, and a Brier score of 0.053.
The machine learning model we developed and validated for predicting delirium in older inpatients demonstrated excellent predictive performance. This model has the potential to assist healthcare professionals in early diagnosis and support informed clinical decision-making.
By identifying patients at risk of delirium early, healthcare professionals can implement preventive measures and timely interventions, potentially reducing the incidence and severity of delirium. The model's ability to support informed clinical decision-making can lead to more personalised and effective care strategies, ultimately benefiting both patients and healthcare providers.
This study was reported in accordance with the TRIPOD statement.
No patient or public contribution.
Cancer is a major social, public health and economic problem worldwide, causing physical and psychological distress to patients. The emerging telemedicine model in healthcare delivery has garnered significant interest because of its potential effectiveness.
To assess the effects of telemedicine on distress, physical function, and self-efficacy in cancer patients.
This meta-analysis was conducted and reported in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) 2020 checklist.
Six databases were searched for relevant studies published from inception to October 2024. The literature search and data collection were conducted by two separate researchers. The quality of the methodologies in the studies included was evaluated using the Cochrane Risk of Bias Tool. Data analysis was conducted using Review Manager (version 5.4).
Compared with the control group, patients who received telemedicine experienced significant reductions in distress (SMD = −0.44, 95% CI: −0.62 to −0.25, p < 0.00001, I 2 = 46%) and significant increases in physical function (SMD = 0.11, 95% CI: 0.01–0.22, p = 0.04, I 2 = 0%) and self-efficacy (SMD = 0.46, 95% CI: 0.23–0.69, p < 0.0001, I 2 = 0%).
Telemedicine can effectively enhance the psychological health and physiological function of cancer patients, as well as their self-efficacy, suggesting a sustainable approach to the clinical care of cancer patients. Future studies are needed to further investigate the effectiveness of telemedicine interventions in different types of cancer patients and in different cultural contexts and to conduct long-term follow-up studies to evaluate their long-term effectiveness and cost-effectiveness.
This systematic review and meta-analysis provides evidence to offer effective and sustainable telemedicine care among cancer patients.
No patient or public contribution.
This study was registered in the International Prospective Register of Systematic Reviews (PROSPERO) (Registration number: CRD42024604929) under the title ‘The effectiveness of death education on death anxiety, depression and quality of life in patients with advanced cancer: A meta-analysis of randomised controlled trials’. The full study protocol could be obtained at https://www.crd.york.ac.uk/PROSPERO/view/CRD42024604929
Faecal contamination of sacral pressure ulcers occurs frequently, so, theoretically, faecal diversion using colostomies is a useful procedure. We retrospectively analysed the data of adult patients for whom colostomies were created to enhance wound healing and compared patients with sacral pressure ulcers who received colostomies and those who did not during the same period. Patients' characteristics analysed included age, gender, comorbidities, WBC count, serum CRP level and microbial profile (before creating colostomy). Additionally, we examined whether the wound was closed, the recurrence rate after wound closure, and mortality outcomes. Regression analysis indicated that colostomy creation was associated with fewer species of gut microbiota cultured and lower rates of wound dehiscence after closure; no association was found between colostomy and mortality. Colostomies help promote wound healing of sacral pressure ulcers after closure by eradicating wound infection, and do not increase patients' mortality rates.
To systematically review published studies on the post stroke delirium risk prediction models; and to provide the evidence for developing and updating the clinically available prediction models.
Systematic review.
Systematically searched studies on 10 databases, which were conducted from inception to 9 January 2025. The studies of post-stroke delirium risk prediction models were included.
Extracted the data from the selected studies. The Prediction Model Risk of Bias Assessment Tool checklist was used to evaluate the risk of bias of the models. The meta-analysis of model performance and common predictors was performed by Revman 5.4 and Medcalc.
A total of 12 studies were included, and 21 risk prediction models for post-stroke delirium were constructed. The combined effect size of area under the receiver operating characteristic curve was 0.84. All studies were found to have a high risk of bias and good applicability. Meta-analysis showed: National Institutes of Health Stroke Scale score, age, neutrophil-to-lymphocyte ratio, neglect, visual impairment and atrial fibrillation were independent predictors of post-stroke delirium.
The included studies all found to have a high risk of bias; future studies should focus on adopting more scientifically rigorous study designs and following the standardised reporting guidelines to enhance extrapolation and facilitate its clinical application.
This review may promote clinical healthcare workers to develop and update clinically available prediction models, thereby establishing risk prediction models with strong clinical utility.
This study presents the first systematic evaluation of delirium risk prediction models in stroke patients, thereby facilitating the choice, use and develop of the clinical usable post stroke delirium risk prediction models.
This review adhered to the PRISMA guidelines.
No patient or public contribution.
RD42024620360 (PROSPERO According to JAN Guidelines).
by Yiming Jin, Rong Lu, Mingyuan Wang, Zihao Xu, Zhen Liu, Shuhong Xie, Yu Zhang
ObjectiveIn this study, we aimed to analyze the blood screening detection strategies employed for voluntary blood donation in a specific region of East China and evaluate the efficacy of the blood safety detection system.
Donors and MethodsA total of 539,117 whole blood samples were collected from voluntary blood donors between January 2018 and July 2021, as well as in 2023 and 2024. The samples were screened for hepatitis B surface antigen (HBsAg), hepatitis C virus (HCV) antibodies, human immunodeficiency virus antibodies/antigen (HIV Ab/Ag), and Treponema pallidum (TP) antibodies using enzyme-linked immunosorbent assay (ELISA). Alanine aminotransferase (ALT) levels were measured using a rapid method. Chemiluminescence immunoassay technology was used to detect five hepatitis B virus (HBV) markers. Polymerase chain reaction was employed to detect HBV DNA, HCV RNA, and HIV RNA. The reactivity rates of each marker were analyzed.
ResultsThe overall positivity rate for blood testing among donors in this region was 0.76% (4,078/539,117). The positivity rates for the individual markers were as follows: anti-TP (0.20%)> HBsAg (0.18%)> ALT (0.13%)> anti-HCV (0.085%)> nucleic acid testing (0.080%)> HIV antigen/anti-HIV (0.079%). No significant differences were observed (P > 0.05). Before 2023, the positivity rates for ALT and HBsAg exhibited occasional fluctuations, followed by a significant decline. Conversely, in 2024, a slight upward trend in the HIV positivity rate was noted.
ConclusionThe current multitiered blood screening and detection strategy in this region exhibits complementary advantages, ensuring effective blood safety. However, the observed slight upward trend in the HIV positivity rate among voluntary blood donors highlights the necessity for enhanced pre-donation counseling and risk assessment for key populations.
Develop and simulate test a digital alert dashboard drawing from existing data to support nurses, care workers and managers in residential aged care.
Participatory action research, co-designing for an Australian 64-bed residential site.
Qualitative data were collected through focus groups and analysed using reflective thematic analysis.
Nursing-theory and evidence-based Nursing Data Domain Standards (NDDS) were developed to support internal triaging of fundamental and clinical care in a non-clinical environment. A co-designed retrospective digital alert dashboard (Aged Care Electronic Dashboard Information Tool—ACED-IT) representing the Standards was created and tested. Twenty aged care nurses, care workers and managers found it had promise in enhancing quality of care, improving resident health and reducing adverse events.
Maximising efficient use of resident-level data with a system that empowers nurse decision-makers is crucial to support effective care design and harm prevention.
ACED-IT has the potential to improve visibility of resident needs, support staff to adjust their workflow based on in-house triage, enhance supervision of staff and quality of care and reduce preventable complications.
Digital systems that enable nursing care escalation and triaging for early intervention are needed in residential aged care settings. The co-designed system was perceived by registered nurses, care workers and managers to have the potential to improve care quality and efficiency. Using an evidence-informed nursing framework to identify day-to-day care indicators can be widely implemented by government regulators, software providers and residential care providers on an international scale to improve resident experience.
This study adhered to the relevant EQUATOR guidelines, specifically the COREQ (Consolidated Criteria for Reporting Qualitative Research) Checklist.
A member of the public participated in the Advisory Group, observed and contributed to the co-design process and reviewed the manuscript.
This study aimed to assess the prevalence and associated factors of primary open-angle glaucoma (POAG) among adult diabetic patients in Northwest Ethiopia, 2023.
An institution-based cross-sectional study was conducted using a systematic random sampling method.
The study was conducted in the University of Gondar, Debre Tabor, Felege Hiwot, Tibebe Ghion and Debre Markos Comprehensive Specialized Hospitals in Northwest Ethiopia.
The study included 1174 adult diabetic patients aged 18 years or older who had resided in Northwest Ethiopia for more than 6 months.
The primary outcome was the prevalence of POAG among adult diabetic patients in Northwest Ethiopia, 2023. The second outcome was the associated factors of POAG among adult diabetic patients.
A total of 1134 study participants participated, with a response rate of 96.5%. The median age of the participants was 53 years, with an IQR of 37–62 years. The prevalence of POAG was 14.37% (95% CI 12.30 to 16.30). Older age (adjusted OR (AOR)=2.97, 95% CI 1.25 to 7.04), long duration of diabetic mellitus (AOR=3.54, 95% CI 2.27 to 5.51), poor blood glucose level (AOR=2.61, 95% CI 1.50 to 4.54), proliferative diabetic retinopathy (PDR) (AOR=4.91, 95% CI 2.10 to 11.46) and intraocular pressure (IOP) (AOR=9.15, 95% CI 6.01 to 13.93) were significantly associated factors with POAG.
This study revealed that the proportion of POAG among adult diabetic patients was high. Older age, long duration of diabetes mellitus, poor blood glucose level, PDR and IOP were positively associated with POAG.
by Brooke Allemang, Francine Buchanan, Pranshu Maini, Dalya Kablawi, Lin Li, Linda Nguyen, Kimberly Courtney, Jessie Cunningham, Carla P. Southward, Kristin Cleverley, Sarah Munce, Alene Toulany
BackgroundPediatric patient and family engagement is an active and collaborative process, that involves children, adolescents, and family members with lived experience contributing to the design, implementation, and evaluation of healthcare services. Prior studies have highlighted the patient engagement methods and impact in clinical care, education, and research. However, gaps remain in understanding the commonalities and distinctions of engagement approaches, patient/family partner roles, and outcomes in clinical care, education, and research contexts. Further, research examining the nuances of pediatric patient and family engagement within healthcare delivery, education, and research in pediatric institutions is needed to streamline efforts.
ObjectiveThis scoping review will identify the commonalities of and distinctions between pediatric patient and family engagement in clinical care, education, and research contexts in pediatric healthcare institutions.
MethodsA scoping review, conducted in collaboration with a team of adolescent, young adult, and family partners, will allow us to systematically map out key concepts, evidence, and knowledge gaps regarding pediatric patient and family engagement in clinical care, education, and research. We will follow the Joanna Briggs Institute framework in the design and conduct of the review and guidance on engaging knowledge users within scoping reviews. The protocol for this scoping review has been registered with the Open Science Framework database (https://osf.io/63qx5).
ResultsThis study will describe the engagement types, approaches, and outcomes of pediatric patient and family engagement employed within clinical care, education, and research settings, highlighting commonalities and distinctions across contexts. In doing so, it will identify potential opportunities for collaboration and resource-sharing based on the context of engagement and provide needed clarity on streamlining pediatric patient and family engagement approaches within pediatric institutional settings.
ConclusionsIt is anticipated that the results will produce preliminary evidence of relevance to pediatric institutions seeking to consolidate engagement practices across clinical care, education, and research domains.
by Jing Guo, Wenshuang Wang, Xiaoxue Zhang, Yulin Zheng, Xinran Wang
Frailty is a common multifactorial clinical syndrome in older patients that seriously affects their prognosis. However, most studies to date have ignored the dynamics of frailty. Therefore, we employed a one-month observational longitudinal study to explore frailty trajectories using a latent class growth model. In total, 155 older patients who underwent abdominal surgery involving the digestive system were assessed preoperatively, at discharge, and at the one-month follow-up, and multiple logistic regression analysis was conducted to identify factors influencing frailty trajectories. Four frailty trajectory patterns were identified: no frailty (13.5%), frailty exacerbation (40.0%), frailty improvement (20.0%), and persistent frailty (26.5%). Logistic regression analysis revealed that body mass index, the Charlson comorbidity index score, the type of surgery, the intraoperative drainage tube retention time (drainage time), the first time the patient got out of bed after surgery, the time of the first oral feed after surgery, postoperative complications, mobility, nutritional risk, and anxiety were associated with frailty trajectories. We identified four frailty trajectories in older patients undergoing abdominal surgery involving the digestive system and found that these trajectories were influenced by multiple factors. Focusing on individual specificity is conducive to accurately addressing frailty-associated clinical problems and guiding relevant nursing decisions.This study aimed to investigate the association between food insecurity and dietary intake with anxiety and depression among residents of underserved urban settlements in Bangladesh.
This cross-sectional study was used to collect data from participants through face-to-face interviews using structured questionnaires. Food security status was assessed using the Household Food Insecurity Access Scale, while anxiety and depression levels were measured using the Generalised Anxiety Disorder-7 and Patient Health Questionnaire-9, respectively. Dietary intake was evaluated through a 24-hour dietary recall and Food Frequency Questionnaire method.
Five districts located within the Khulna Division of Bangladesh.
Residents of underserved urban areas in Bangladesh (n=749), aged ≥18 years old.
Results indicated that 22.1%, 74.6% and 44.5% of participants experienced severe food insecurity, mild to moderate food insecurity and low Household Dietary Diversity Score, with a significant portion also showing symptoms of anxiety (57.1%) and depression (57.9%). Food insecurity and Household Dietary Diversity Score were found to be positively associated with both anxiety (p
These findings highlight that food insecurity not only affects dietary habits but also exacerbates mental health outcomes. Addressing food insecurity and balanced dietary intake could therefore contribute to better mental health outcomes and overall well-being in underserved communities. Policymakers should prioritise comprehensive strategies that ensure access to nutritious foods and provide mental health support to vulnerable groups.
FreshRSS 