Conectar
The accurate assessment of wound healing post-caesarean section, especially in twin pregnancies, remains a pivotal concern in obstetrics, given its implications for maternal health and recovery. Traditional methods, including conventional abdominal ultrasonography (CU), have been challenged by the advent of transvaginal ultrasonography (TU), offering potentially enhanced sensitivity and specificity. This meta-analysis directly compares the efficacy of TU and CU in evaluating wound healing and scar formation, crucial for optimizing postoperative care. Results indicate that TU is associated with significantly better outcomes in wound healing, demonstrated by lower REEDA scores (SMD = −20.56, 95% CI: [−27.34.20, −13.77], p < 0.01), and in scar formation reduction, evidenced by lower Manchester Scar Scale scores (SMD = −25.18, 95% CI: [−29.98, −20.39], p < 0.01). These findings underscore the potential of integrating TU into routine post-caesarean evaluation protocols to enhance care quality and patient recovery.
Perimenopause is a critical transitional period in reproductive ageing. A set of physiological and psychological changes can affect perimenopausal women’s quality of life and further threaten their older adult health conditions. In China, less than one-third of midlife women with menopausal symptoms have actively sought professional healthcare. Regarding the public health significance of comprehensive menopause management, the current study aims to investigate the effects of a therapeutic lifestyle modification (TLM) intervention on cardiometabolic health, sexual functioning and health-related quality of life among perimenopausal Chinese women.
A randomised controlled trial with two parallel arms will be conducted at the gynaecology outpatient department of Yunnan Provincial Hospital of Traditional Chinese Medicine in China. 94 eligible perimenopausal women aged between 40 and 55 years will be recruited for the study. The TLM intervention consists of four elements: menopause-related health education, dietary guidance, pelvic floor muscle training and Bafa Wubu Tai Chi exercise. Participants will be randomly assigned (1:1) to receive either the 12-week TLM intervention or routine care via stratified blocked randomisation. The primary outcome is quality of life; secondary outcomes of interest include sexual functioning and cardiometabolic health. The outcome measures will be assessed at baseline and post-intervention. To explore the effects of the intervention, linear mixed models will be applied to test the changes between the two groups over time in each outcome based on an intention-to-treat analysis.
The Research Ethics Review Committee of Chulalongkorn University (COA No 178/66) and the Medical Ethics Committee of Yunnan Provincial Hospital of Traditional Chinese Medicine (IRB-AF-027-2022/02-02) approved the study protocol. Written informed consent will be obtained from all participants. Results will be published in peer-reviewed journals and disseminated through conferences.
ChiCTR2300070648.
To identify factors associated with health behaviours among stroke survivors, through a multi-centre study.
A sequential mixed methods design.
In the quantitative research phase, a total of 350 participants were recruited through multi-stage sampling from December 2022 to June 2023. General information questionnaires, The Stroke Prevention Knowledge Questionnaire (SPKQ), Short Form Health Belief Model Scale (SF-HBMS), Health Promoting Lifestyle Profile (HPLPII), and the WHOQOL-BREF (World Health Organization Quality of Life Questionnaire, Brief Version) were distributed across five tertiary hospitals in Henan province, China. For the qualitative research component, semi-structured interviews were conducted to explore the barriers and facilitators of health behaviour. This study adheres to the GRAMMS guidelines.
A total of 315 participants (90.0%) completed the survey. Identified barriers to health behaviour included residing in rural areas, higher scores on the Charlson Comorbidity Index (CCI) and mRS, as well as lower scores on SPKQ, SF-HBMS and WHOQOL-BREF. Twenty-four individuals participated in qualitative interviews. Twenty-eight themes were identified and categorised by frequency, covering areas such as knowledge, skills, intentions, social influences, social/professional role and identity, environmental context and resources, beliefs about capabilities, beliefs about consequences and behavioural regulation. Both quantitative and qualitative data suggested that health behaviour among stroke survivors is at a moderate level, and the identified barrier factors can be mapped into the COM-B model (Capability, Opportunity, Motivation and Behaviour).
The study indicates that key barriers to health behaviour among stroke survivors align with the COM-B model. These identified factors should be carefully considered in the planning of future systematic interventions aimed at improving health behaviours among stroke survivors.
Patients were invited to completed questionnaires in the study and semi-structured interviews. The investigators provided explanation of this study’ content, purpose and addressed issues during the data collection.
Specific treatment for diabetic peripheral neuropathy (DPN) is still lacking, and acupuncture may relieve the symptoms. We intend to investigate the efficacy and safety of electro-acupuncture (EA) in alleviating symptoms associated with DPN in diabetes.
This multicentre, three-armed, participant- and assessor-blind, randomised, sham-controlled trial will recruit 240 eligible participants from four hospitals in China and will randomly assign (1:1:1) them to EA, sham acupuncture (SA) or usual care (UC) group. Participants in the EA and SA groups willl receive either 24-session EA or SA treatment over 8 weeks, followed by an 8-week follow-up period, while participants in the UC group will be followed up for 16 weeks. The primary outcome of this trial is the change in DPN symptoms from baseline to week 8, as rated by using the Total Symptom Score. The scale assesses four symptoms: pain, burning, paraesthesia and numbness, by evaluating the frequency and severity of each. All results will be analysed with the intention-to-treat population.
The protocol has been approved by the Ethics Committee of the Beijing University of Chinese Medicine (Identifier: 2022BZYLL0509). Every participant will be informed of detailed information about the study before signing informed consent. The results of this trial will be published in a peer-reviewed journal.
ChiCTR2200061408.
Acceptance and commitment therapy (ACT) is a psychotherapy technique, which promotes psychological flexibility and enables patients to change behaviors based on value-directed goals. However, the beneficial effects of ACT on glycemic control, self-care behaviors, acceptance of diabetes, self-efficacy, and psychological burden are still unclear among patients with type 2 diabetes mellitus (T2DM).
This study aimed to systematically synthesize scientific evidence to determine the effectiveness of ACT among patients with T2DM on glycemic control, self-care behaviors, acceptance of diabetes, self-efficacy, and psychological burden and identify the optimal characteristics of effective interventions.
Nine electronic databases were searched to identify eligible studies of randomized controlled trials from inception to June 2023. Two reviewers independently assessed the study eligibility, extracted the data, and performed the quality appraisal using the Cochrane Risk of Bias 2 Tool. The meta-analysis was conducted using Review Manager 5.3. The certainty of the evidence was rated using the Grading of Recommendations Assessment, Development, and Evaluation system.
Ten studies involving 712 participants were included. ACT demonstrated significant improvements on patients' glycemic control (mean difference [MD]: 0.95%; p < .001), self-care behaviors (MD: 1.86; p = .03), diabetes acceptance (MD: 7.80; p < .001), self-efficacy (standardized mean difference [SMD]: 1.04; p < .001), anxiety (SMD: −1.15; p = .006), and depression (SMD: −1.10; p = .04). However, favorable but nonsignificant improvements were found in diabetes distress. Subgroup analyses demonstrated that ACT offered more than five sessions using individualized format, with theoretical underpinnings and professional input from multidisciplinary therapists are recommended to yield better results on glycemic control and self-care behaviors.
Acceptance and commitment therapy could generate beneficial effectiveness on glycemic control, self-care behaviors, acceptance of diabetes, self-efficacy, anxiety, and depression among patients with T2DM. Large-scale trials with rigorous design and representative samples are warranted to strengthen the current evidence.
Body mass index (BMI) can affect an individual’s health. The night shift is a characteristic of the nursing profession, which is associated with an abnormal BMI. However, few studies have investigated the association between BMI and burnout in Chinese nurses. This study examined the association between BMI and burnout among Chinese nurses.
A total of 1863 nurses from 12 tertiary hospitals in Shandong Province of China were selected. BMI was calculated as body weight divided by height squared. The Maslach Burnout Service Inventory General Survey (MBI-GS) was used to measure the level of burnout among nurses. Ordinal logistic regression was used to analyse the association between BMI and burnout.
In this study, the prevalence of normal BMI, underweight, overweight, and obesity was 69.2%, 7.5%, 18.2%, and 5.2%, respectively. The prevalence of high emotional exhaustion, high cynicism, and low personal accomplishment among nurses was 26.1%, 38.7%, and 35.6%, respectively. Nurses who were obese were more likely to have high levels of emotional exhaustion (OR=1.493, 95% CI: 1.011 to 2.206) and cynicism (OR=1.511, 95% CI: 1.014 to 2.253), and nurses who were underweight were more likely to have high levels of cynicism (OR=1.593, 95% CI: 1.137 to 2.232) compared with those who were normal weight.
Obesity was positively associated with emotional exhaustion and cynicism, and being underweight was only positively associated with cynicism among Chinese nurses. Hospital administrators should consider BMI when taking effective measures to reduce burnout among nurses.
This study aims to investigate the role of anoikis-related genes in diabetic foot (DF) by utilizing bioinformatics analysis to identify key genes associated with anoikis in DF. We selected the GEO datasets GSE7014, GSE80178 and GSE68183 for the extraction and analysis of differentially expressed anoikis-related genes (DE-ARGs). GO analysis and KEGG analysis indicated that DE-ARGs in DF were primarily enriched in apoptosis, positive regulation of MAPK cascade, anoikis, focal adhesion and the PI3K-Akt signalling pathway. Based on the LASSO and SVM-RFE algorithms, we identified six characteristic genes. ROC curve analysis revealed that these six characteristic genes had an area under the curve (AUC) greater than 0.7, indicating good diagnostic efficacy. Expression analysis in the validation set revealed downregulation of CALR in DF, consistent with the training set results. GSEA results demonstrated that CALR was mainly enriched in blood vessel morphogenesis, endothelial cell migration, ECM-receptor interaction and focal adhesion. The HPA database revealed that CALR was moderately enriched in endothelial cells, and CALR was found to interact with 63 protein-coding genes. Functional analysis with DAVID suggested that CALR and associated genes were enriched in the phagosome component. CALR shows promise as a potential marker for the development and treatment of DF.
by Shiliang Zhu, Min Miao
The current challenges in Synthetic Aperture Radar (SAR) ship detection tasks revolve around handling significant variations in target sizes and managing high computational expenses, which hinder practical deployment on satellite or mobile airborne platforms. In response to these challenges, this research presents YOLOv7-LDS, a lightweight yet highly accurate SAR ship detection model built upon the YOLOv7 framework. In the core of YOLOv7-LDS’s architecture, we introduce a streamlined feature extraction network that strikes a delicate balance between detection precision and computational efficiency. This network is founded on Shufflenetv2 and incorporates Squeeze-and-Excitation (SE) attention mechanisms as its key elements. Additionally, in the Neck section, we introduce the Weighted Efficient Aggregation Network (DCW-ELAN), a fundamental feature extraction module that leverages Coordinate Attention (CA) and Depthwise Convolution (DWConv). This module efficiently aggregates features while preserving the ability to identify small-scale variations, ensuring top-quality feature extraction. Furthermore, we introduce a lightweight Spatial Pyramid Dilated Convolution Cross-Stage Partial Channel (LSPHDCCSPC) module. LSPHDCCSPC is a condensed version of the Spatial Pyramid Pooling Cross-Stage Partial Channel (SPPCSPC) module, incorporating Dilated Convolution (DConv) as a central component for extracting multi-scale information. The experimental results show that YOLOv7-LDS achieves a remarkable Mean Average Precision (mAP) of 99.1% and 95.8% on the SAR Ship Detection Dataset (SSDD) and the NWPU VHR-10 dataset with a parameter count (Params) of 3.4 million, a Giga Floating Point Operations Per Second (GFLOPs) of 6.1 and an Inference Time (IT) of 4.8 milliseconds. YOLOv7-LDS effectively strikes a fine balance between computational cost and detection performance, surpassing many of the current state-of-the-art object detection models. As a result, it offers a more resilient solution for maritime ship monitoring.With an increasing number of older adults in China, the number of people with cognitive impairment is also increasing. To decrease the risk of dementia, it is necessary to timely detect mild cognitive impairment (MCI), which is the preliminary stage of dementia. The prevalence of MCI is relatively high among older adults with diabetes mellitus (DM); however, no effective screening strategy has been designed for this population. This study will construct a nurse-led screening system to detect MCI in community-dwelling older adults with DM in a timely manner.
A total of 642 participants with DM will be recruited (n=449 for development, n=193 for validation). The participants will be divided into MCI and none-MCI groups. The candidate predictors will include demographic variables, lifestyle factors, history of diseases, physical examinations, laboratory tests and neuropsychological tests. Univariate analysis, least absolute shrinkage and selection operator regression screening, and multivariate logistic regression analysis will be conducted to identify the outcome indicators. Based on the multivariate logistic regression equation, we will develop a traditional model as a comparison criterion for the machine learning models. The Hosmer-Lemeshow goodness-of-fit test and calibration curve will be used to evaluate the calibration. Sensitivity, specificity, area under the curves and clinical decision curve analysis will be performed for all models. We will report the sensitivity, specificity, area under the curve and decision curve analysis of the validation dataset. A prediction model with better performance will be adopted to form the nurse-led screening system.
This prospective study has received institutional approval of the Medical Ethics Committee of Qidong Hospital of TCM (QDSZYY-LL-20220621). Study results will be disseminated through conference presentations, Chinese Clinical Trial Registry and publication.
ChiCTR2200062855.
To investigate whether chronic diseases are associated with higher COVID-19 vaccine hesitancy and explore factors that influence COVID-19 vaccine hesitancy in patients with chronic diseases.
Vaccine hesitancy has been acknowledged as one of the greatest hazards to public health. However, little information is available about COVID-19 vaccine hesitancy among patients with chronic diseases who may be more susceptible to COVID-19 infection, severe disease or death.
From 6 to 9 August 2021, we performed an internet-based cross-sectional survey with 22,954 participants (14.78% participants with chronic diseases). Propensity score matching with 1:1 nearest neighbourhood was used to reduce confounding factors between patients with chronic diseases and the general population. Using a multivariable logistic regression model, the factors impacting COVID-19 vaccine hesitancy were identified among patients with chronic diseases.
Both before and after propensity score matching, patients with chronic diseases had higher COVID-19 vaccine hesitancy than the general population. In addition, self-reported poor health, multiple chronic diseases, lower sociodemographic backgrounds and lower trust in nurses and doctors were associated with COVID-19 vaccine hesitancy among patients with chronic diseases.
Patients with chronic diseases were more hesitant about the COVID-19 vaccine. Nurses should focus on patients with chronic diseases with poor health conditions, low socioeconomic backgrounds and low trust in the healthcare system.
Clinical nurses are recommended to not only pay more attention to the health status and sociodemographic characteristics of patients with chronic diseases but also build trust between nurses and patients by improving service levels and professional capabilities in clinical practice.
Patients or the public were not involved in setting the research question, the outcome measures, or the design or implementation of the study. However, all participants were invited to complete the digital informed consent and questionnaires.
by Ashley M. Brooks, Andrea Vornoli, Ramesh C. Kovi, Thai Vu T. Ton, Miaofei Xu, Ahmed Mashal, Eva Tibaldi, Federica Gnudi, Jian-Liang Li, Robert C. Sills, John R. Bucher, Daniele Mandrioli, Fiorella Belpoggi, Arun R. Pandiri
The cancer hazard associated with lifetime exposure to radiofrequency radiation (RFR) was examined in Sprague Dawley (SD) rats at the Ramazzini Institute (RI), Italy. There were increased incidences of gliomas and cardiac schwannomas. The translational relevance of these rare rat tumors for human disease is poorly understood. We examined the genetic alterations in RFR-derived rat tumors through molecular characterization of important cancer genes relevant for human gliomagenesis. A targeted next-generation sequencing (NGS) panel was designed for rats based on the top 23 orthologous human glioma-related genes. Single-nucleotide variants (SNVs) and small insertion and deletions (indels) were characterized in the rat gliomas and cardiac schwannomas. Translational relevance of these genetic alterations in rat tumors to human disease was determined through comparison with the Catalogue of Somatic Mutations in Cancer (COSMIC) database. These data suggest that rat gliomas resulting from life-time exposure to RFR histologically resemble low grade human gliomas but surprisingly no mutations were detected in rat gliomas that had homology to the human IDH1 p.R132 or IDH2 p.R172 suggesting that rat gliomas are primarily wild-type for IDH hotspot mutations implicated in human gliomas. The rat gliomas appear to share some genetic alterations with IDH1 wildtype human gliomas and rat cardiac schwannomas also harbor mutations in some of the queried cancer genes. These data demonstrate that targeted NGS panels based on tumor specific orthologous human cancer driver genes are an important tool to examine the translational relevance of rodent tumors resulting from chronic/life-time rodent bioassays.To investigate the nutritional status of older adults in nursing homes in Chongqing, China, compare and analyse the differences in the physical condition, cognitive function and social-related factors of older adults with different nutritional statuses.
Malnurtition in the older people has become a priority concer, and the incidence and factors associated with malnutrition vary somewhat by healthcare setting. In Chongqing ,China, there is lack of research on malnutrition of the older people in nursing homes. Here, we investigated the incidence of malnutrition and analysed the associated factors.
A cross-sectional study.
From January to April 2023, a cross-sectional survey was conducted in three nursing homes in Chongqing, China. Participants completed a series of questionnaires, including the Demographic Information Questionnaire which included age, gender, education level, previous occupation, marital status and other information. The survey also included validated non-demographic instruments [Short-Form Mini-Nutritional Assessment (MNA-SF), Barthel Index (BI) and Mini-mental State Examination (MMSE)] to identify related impact factors. The Guidelines for cross-sectional studies were used in this study (Data S1).
209 older adults aged 60 and over participated in this study, of whom 121 were women and 88 were men. The average (SD) age of the participants was 84.7 (6.3) years. Of the participants, 46.4% were classified as well nourished. About 39.2% were at risk of malnutrition and 14.4% were malnourished. Compared to those who were well nourished, those who were malnourished or at risk of becoming malnourished were more likely to suffer from comorbidities, polypharmacy, a higher risk of falling, ADL dependence and to receive more nutritional interventions. However, there are no significant differences after adjustment for age, education level, previous occupation, marital status, length of stay, and type of health care payment.
Malnutrition is a common problem among older adults innursing homes in Chongqing, China. There are certain differences in physical conditions and nutritional interventions among older adults withdifferent nutritional status.
This study suggests that the problem of malnutrition is very prominent in nursing homes in Chongqing, China. Cognitive impairment, impaired activities of daily living, fall risk and nutritional intervention need to be prevalent in older adults with (risk of) malnutrition.
The aim of the study was to explore plans, considerations and factors influencing long-term care among older sexual minority (SM) women.
Qualitative interview study.
Semi-structured in-depth interviews were conducted with 37 older Taiwanese SM women between May and September 2019. This study analysed interview data using a socio-ecological model and constant comparative analysis.
The most frequently reported long-term care plans were housing and institutions, private medical or long-term care insurance, financial planning and medical decisions. Factors associated with women's long-term care plans were categorized using the socio-ecological model level: (1) intrapersonal factors: current physical and mental health status, ageing signs and women's attitudes towards ageing; (2) interpersonal-level factors: receiving support from partners, child(ren), siblings or significant others, concerns about being a caregiver for parents and worries regarding social isolation; (3) community-level factors: receiving support from lesbian, gay, bisexual and transgender (LGBT) organizations; private lesbian online groups; or religious groups; (4) societal-level factors: concerns about negative social environments, concerns about the healthcare system and healthcare providers, inappropriate policies and insufficient resources.
This study identified multi-level factors related to long-term care plans and concerns among older Taiwanese SM women. Recommendations for nurses, managers of long-term care and healthcare settings, policymakers, and governments have been provided to diminish health disparities and reduce anxiety among older SM women.
This study assists nurses in understanding older SM women's long-term care concerns and worries when accessing long-term care and healthcare services and helps nurses provide SM-sensitive services and care for women.
SM older women were recruited from LGBT organizations, LGBT-friendly bookstores, restaurants, coffee shops and LGBT online chatrooms using purposive and snowball sampling.
by Ting Zou, Xiaohui Zhou, Qinwen Wang, Yongjie Zhao, Meisheng Zhu, Lei Zhang, Wei Chen, Pari Abuliz, Haijun Miao, Keyimu Kabinur, Kader Alimu
ObjectiveTo investigate the associations of serum DNA methylation levels of chemokine signaling pathway genes with Alzheimer’s disease (AD) and mild cognitive impairment (MCI) in elderly people in Xinjiang, China, and to screen out genes whose DNA methylation could distinguish AD and MCI.
Materials and methods37 AD, 40 MCI and 80 controls were included in the present study. DNA methylation assay was done using quantitative methylation-specific polymerase chain reaction (qMSP). Genotyping was done using Sanger sequencing.
ResultsDNA methylation levels of ADCY2, MAP2K1 and AKT1 were significantly different among AD, MCI and controls. In the comparisons of each two groups, AKT1 and MAP2K1’s methylation was both significantly different between AD and MCI (p MAP2K1’s methylation was also significantly different between MCI and controls. Therefore, AKT1’s methylation was considered as the candidate serum marker to distinguish AD from MCI, and its association with AD was independent of APOE ε4 allele (p AKT1 hypermethylation was an independent risk factor for AD and MAP2K1 hypomethylation was an independent risk factor for MCI in logistic regression analysis (p Conclusion
This study found that the serum of AKT1 hypermethylation is related to AD independently of APOE ε4, which was differentially expressed in the Entorhinal Cortex of the brain and was an independent risk factor for AD. It could be used as one of the candidate serum markers to distinguish AD and MCI. Serum of MAP2K1 hypomethylation is an independent risk factor for MCI.
by Naomi Carter, Jialin Li, Miao Xu, Li Li, Shengnan Xu, Xuelan Fan, Shuyan Zhu, Prit Chahal, Kaushik Chattopadhyay
The burden of type 2 diabetes (T2DM) in China is significant and growing, and this is reflected in high rates of T2DM in the city of Ningbo, China. Consequent impacts on morbidity, mortality, healthcare expenditure, and health-related quality of life, make this a problem of the utmost importance to address. One way to improve T2DM outcomes is to address lifestyle behaviours that may affect prognosis and complications, such as physical activity levels, dietary habits, smoking status, and alcohol intake. A cross-sectional survey was undertaken to describe the prevalence of being physically active, having a healthy diet, currently smoking, and currently drinking alcohol among people living with T2DM attending a diabetes clinic in Ningbo, China. Regression analysis was used to determine the factors associated with these lifestyle behaviours. We found a high prevalence of a healthy diet (97.8%, 95% CI 96.5–98.7%). Prevalence of being physically active (83.4%, 95% CI 80.6–85.9%), smoking (21.6%, 95% CI 18.8–24.6%), and alcohol drinking (32.9%. 95% CI 29.6–36.2%) appeared in keeping with those of the general population. Marked associations were demonstrated between male sex and smoking (OR 41.1, 95% CI 16.2–139.0), and male sex and alcohol drinking (OR 4.00, 95% CI 2.62–6.20). Correlation between lifestyle factors was demonstrated including between alcohol drinking and smoking, and between physical activity and reduced smoking. General diabetes self-management education programmes that address multiple lifestyle risk factors simultaneously may be beneficial in this population. Specific interventions targeting smoking cessation and reduction in alcohol drinking may be of benefit to men living with T2DM attending a diabetes clinic in Ningbo.This study aimed to describe the knowledge, attitudes and practices (KAP) of nurses in implementing advance directives (ADs) for older patients and analyze the influencing factors before the establishment of the first advance directives act in China.
Multicenter cross-sectional survey. The standards for reporting the STROBE checklist are used.
This cross-sectional study developed a self-designed structured questionnaire to assess nurses' knowledge, attitudes and practices about ADs. Nurses were recruited by stratified random sampling through the Nursing Departments of 12 hospitals in southwest China and were asked to fill out the questionnaire face to face about knowledge, attitudes and practices. Data were analyzed following descriptive statistics, rank-sum test and multiple linear regression.
This study included 950 nurses. The study found that nurses were extremely supportive of ADs. Unmarried nurses had better knowledge of ADs than married ones. Nevertheless, there was a discrepancy between the participants' knowledge, attitude and practice. The participants' practice was lower (4.3%) compared with their attitude (81.9%) and knowledge (42.2%). Knowledge on, attitudes towards and standardized procedures for ADs in the workplace affected nursing practice.
The study recommends that courses on ADs and appropriate support from medical institutions should be provided to nurses to increase their knowledge and confidence in implementing ADs. Healthcare professionals should be sufficiently equipped to implement ADs and handle their execution appropriately to provide adequate end-of-life care corresponding to patients' wishes.
The study results inform rich insights as it discusses the numerous interrelating factors influencing these three fundamental aspects that affect the success of any AD policy by surveying the knowledge, attitudes and practices of clinical nurses. Furthermore, our results hint at distinct areas of improvement in the nursing practice to facilitate the wider implementation and acceptance of ADs in China.
This study involved no patient.
FreshRSS 