Association Between Ethylene Oxide Exposure and Cognitive Function in US Older Adults: NHANES 2013-2014.

Background: Ethylene oxide (EO) is a common organic compound associated with many adverse health outcomes. However, studies exploring the association between EO exposure and cognitive function are limited. Objective: This study aims to examine this relationship between EO exposure and cognition in older adults. Methods: This study enrolled 438 older adults from the National Health and Nutrition Examination Survey (NHANES) 2013-2014 cycle. EO exposure was quantified by the measurements of blood hemoglobin adducts of ethylene oxide (HbEO) concentrations. Cognitive function was measured by the Consortium to Establish a Registry for Alzheimer's Disease battery (CREAD), the Animal Fluency test (AFT), and the Digit Symbol Substitution Test (DSST). Linear regression model, generalized additive model, and smooth curve fitting were applied to examine the linear and nonlinear relationship between EO exposure and cognitive function. We used a two-piecewise linear regression model to detect the threshold effect of EO exposure on cognitive function. Results: Participants with higher HbEO levels had lower AFT and DSST scores than those with lower HbEO levels. After adjusting for all confounding factors, log2-transformed HbEO levels were negatively associated with AFT score. The smooth curve fitting demonstrated the nonlinear relationship between EO exposure and DSST scores. When log-2 transformed HbEO levels >4.34 pmol/g Hb, EO exposure was negatively associated with DSST score. Conclusions: This study indicated that high levels of HbEO were associated with cognitive decline in US older adults. Future cohort studies are needed to verify our findings.

Brain-computer interfaces: the innovative key to unlocking neurological conditions.

Neurological disorders such as Parkinson's disease, stroke, and spinal cord injury can pose significant threats to human mortality, morbidity, and functional independence. Brain-Computer Interface (BCI) technology, which facilitates direct communication between the brain and external devices, emerges as an innovative key to unlocking neurological conditions, demonstrating significant promise in this context. This comprehensive review uniquely synthesizes the latest advancements in BCI research across multiple neurological disorders, offering an interdisciplinary perspective on both clinical applications and emerging technologies. We explore the progress in BCI research and its applications in addressing various neurological conditions, with a particular focus on recent clinical studies and prospective developments. Initially, the review provides an up-to-date overview of BCI technology, encompassing its classification, operational principles, and prevalent paradigms. It then critically examines specific BCI applications in movement disorders, disorders of consciousness, cognitive and mental disorders, as well as sensory disorders, highlighting novel approaches and their potential impact on patient care. This review reveals emerging trends in BCI applications, such as the integration of artificial intelligence and the development of closed-loop systems, which represent significant advancements over previous technologies. The review concludes by discussing the prospects and directions of BCI technology, underscoring the need for interdisciplinary collaboration and ethical considerations. It emphasizes the importance of prioritizing bidirectional and high-performance BCIs, areas that have been underexplored in previous reviews. Additionally, we identify crucial gaps in current research, particularly in long-term clinical efficacy and the need for standardized protocols. The role of neurosurgery in spearheading the clinical translation of BCI research is highlighted. Our comprehensive analysis presents BCI technology as an innovative key to unlocking neurological disorders, offering a transformative approach to diagnosing, treating, and rehabilitating neurological conditions, with substantial potential to enhance patients' quality of life and advance the field of neurotechnology.

Development and external validation of dual online tools for prognostic assessment in elderly patients with high-grade glioma: a comprehensive study using SEER and Chinese cohorts.

Background: Elderly individuals diagnosed with high-grade gliomas frequently experience unfavorable outcomes. We aimed to design two web-based instruments for prognosis to predict overall survival (OS) and cancer-specific survival (CSS), assisting clinical decision-making. Methods: We scrutinized data from the SEER database on 5,245 elderly patients diagnosed with high-grade glioma between 2000-2020, segmenting them into training (3,672) and validation (1,573) subsets. An additional external validation cohort was obtained from our institution. Prognostic determinants were pinpointed using Cox regression analyses, which facilitated the construction of the nomogram. The nomogram's predictive precision for OS and CSS was gauged using calibration and ROC curves, the C-index, and decision curve analysis (DCA). Based on risk scores, patients were stratified into high or low-risk categories, and survival disparities were explored. Results: Using multivariate Cox regression, we identified several prognostic factors for overall survival (OS) and cancer-specific survival (CSS) in elderly patients with high-grade gliomas, including age, tumor location, size, surgical technique, and therapies. Two digital nomograms were formulated anchored on these determinants. For OS, the C-index values in the training, internal, and external validation cohorts were 0.734, 0.729, and 0.701, respectively. We also derived AUC values for 3-, 6-, and 12-month periods. For CSS, the C-index values for the training and validation groups were 0.733 and 0.727, with analogous AUC metrics. The efficacy and clinical relevance of the nomograms were corroborated via ROC curves, calibration plots, and DCA for both cohorts. Conclusion: Our investigation pinpointed pivotal risk factors in elderly glioma patients, leading to the development of an instrumental prognostic nomogram for OS and CSS. This instrument offers invaluable insights to optimize treatment strategies.

The association between triglyceride-glucose index and cognitive function in nondiabetic elderly: NHANES 2011-2014.

BACKGROUND: The relationship between Insulin resistance (IR) evaluated through homeostasis model assessment insulin resistance (HOMA-IR) and cognitive function is controversial among nondiabetic individuals. No study so far has reported the association between the IR evaluated through triglyceride glucose (TyG) index and cognitive function among nondiabetics. This study aims to assess this association among US nondiabetic older elderly. METHODS: Data were obtained from the 2011-2014 National Health and Nutrition Examination Survey (NHANES). Low cognitive function was evaluated using the Consortium to Establish a Registry for Alzheimer's Disease Battery for immediate word list learning (CERAD-WL) and delayed recall (CERAD-DR) test, the Animal Fluency Test (AFT), and the Digit Symbol Substitution Test (DSST). Logistic regression analyses were conducted to compute the odds ratio (OR) and 95% confidential interval (CI) to examine the association between the TyG index (continuous and quartiles) and low cognitive function. RESULTS: A total of 661 nondiabetic older adults were included with a mean age of 68.62 ± 6.49 years. Compared to the 1st quartile of the TyG index, participants in the TyG index 4th quartile were associated with low cognitive function evaluated through the CERAD test (CERAD-WL and CERAD-DR) [OR: 2.62; 95% CI (1.31, 5.23); P < 0.05]. Subgroup analyses showed that females (ORQ4 VS Q1: 3.07; 95% CI (1.04, 9.05); P < 0.05) and smokers (OR Q4 VS Q1: 2.70; 95% CI (1.01, 7.26); P < 0.05) categories were related with a higher risk of low cognitive function. CONCLUSIONS: A high TyG index was strongly correlated with low cognitive function evaluated through the CERAD test (CERAD-WL and CERAD-DR) among US nondiabetic older women. The management of IR in women might be beneficial to primarily prevent low cognitive function among nondiabetic older elderly.

Effectiveness of Problem-Based Learning on Development of Nursing Students' Critical Thinking Skills: A Systematic Review and Meta-analysis.

BACKGROUND: Problem-based learning (PBL) is a student-centered approach to teaching that has been applied in medical and nursing education. The effectiveness of PBL in promoting critical thinking in nursing students has been studied extensively with mixed results. PURPOSE: The meta-analysis aimed to investigate the impact of PBL interventions on critical thinking skills of nursing students. METHODS: PubMed, Embase, Cochrane, and CINAHL databases were electronically searched. Methodological quality was examined using the Newcastle-Ottawa Scale and version 2 of the Cochrane risk-of-bias tool. Data were analyzed with 95% confidence intervals based on random-effect models. RESULTS: Nineteen studies involving 1996 nursing students were included in the analysis. The results of the analysis demonstrated greater improvement in critical thinking skills compared with the control group (overall critical thinking scores: standardized mean difference [SMD] = 0.47, 95% CI = 0.33-0.61, P < .01). CONCLUSIONS: The meta-analysis indicates that PBL can help nursing students to improve their critical thinking.

Global research trends in immunotherapy for glioma: a comprehensive visualization and bibliometric analysis.

Background: Glioma is a prevalent and lethal brain malignancy; despite current treatment options, the prognosis remains poor. Therefore, immunotherapy has emerged as a promising therapeutic strategy. However, research trends and hotspots in glioma immunotherapy have not been systematically analyzed. This study aimed to elucidate global research trends and knowledge structures regarding immunotherapy for glioma using bibliometric analysis. Methods: Publications related to immunotherapy for glioma from 2000-2023 were retrieved from Web of Science Core Collection database (WoSCC). We conducted quantitative analysis and visualization of research trends using various tools, including VOSviewer (1.6.18), CiteSpace (5.7 R3), Microsoft Charticulator, and the Bibliometrix package in R. Results: A total of 4910 publications were included. The number of annual publications exhibited an obvious upward trend since 2019. The USA was the dominant country in terms of publication output and centrality. Frontiers in Immunology published the most articles. Harvard Medical School ranked first in productivity among institutions. Sampson, John H. Ph.D. is the most prolific author in the field with 88 articles and a total of 7055 citations. Clinical Cancer Research has the largest total number and impact factor. Analysis of keywords showed immunotherapy, glioblastoma, immunotherapy, and clinical trials as hot topics. The tumor microenvironment, cell death pathways, chimeric antigen receptor engineering, tumor-associated macrophages, and nivolumab treatment represent indicating shifts in the direction of future glioma immunotherapy development. Conclusion: This bibliometric analysis systematically delineated global landscapes and emerging trends in glioma immunotherapy research. This study highlighted the prominence of Chimeric Antigen Receptor T-cell (CAR-T), Programmed Death-1 (PD-1), and nivolumab in current glioma immunotherapy research. The growing emphasis on specific neoantigens and prognostic tumor markers suggests potential avenues for future exploration. Furthermore, the data underscores the importance of strengthened international collaboration in advancing the field.

Impact of the Industrialization of Older Adult Care Services on Older Individuals' Physical and Mental Health: Evidence from China's Quasi-Natural Experiment.

Purpose: Given the increasing longevity of the population, the consolidation of familial structures, and the scarcity of economic resources required to sustain an aging society, the Chinese government faces a complex and urgent challenge in effectively addressing the growing needs of older adults and establishing a long-term care services system that is both sustainable and equitable. Patients and Methods: This study harnesses the comprehensive CLHLS data from 2011 to 2018 and utilizes the "Pilot Industrialization of Old-Age Service in a Market-Oriented Way" policy as a quasi-natural experiment. Employing the Difference-in-Differences (DID) method, our study aims to evaluate the impact of industrializing older adult care services on the physical and mental health outcomes of older adults in China. Results: The findings strongly indicate that the government's adoption of a market-driven fiscal approach within its policies, aimed at attracting social capital and fostering the industrialization of older adult care services, positively influences the physical and mental well-being of the aged population. Furthermore, through heterogeneity analysis, it becomes evident that the health promotion effect is particularly pronounced among older individuals living without a spouse, lacking family care from children or grandchildren, or residing in financially underdeveloped regions. Conclusion: In summary, these results underscore the potential efficacy of employing financial policy instruments to facilitate the industrialization of older adult care services, thereby advancing the promotion of a society characterized by healthy aging and ensuring equitable health outcomes for older people.

The impact of using community home-based elderly care services on older adults' self-reported health: fresh evidence from China.

Background: The rapid population aging in China, characterized by a higher prevalence of illnesses, earlier onset of diseases, and longer durations of living with ailments, substantially engenders challenges within the domain of older adults' healthcare. Community home-based elderly care services (CHECS) are a feasible solution to solve the problem of older adults' care and protect older adults' health. The aim of this study is to investigate the relationship, heterogeneity effects and influential mechanisms between older adults' use of CHECS and their self- reported health. Methods: The study employs the Instrumental Variable technique and empirically investigates the relationship, heterogeneity effects and influential mechanisms between older adults using CHECS and their self-reported health using data from the China Longitudinal Aging Social Survey from 2018. Results: The findings indicate, firstly, that using CHECS considerably improves older adults' self-reported health. Secondly, the heterogeneity test reveals that the effect is more pronounced for older adults who are under the age of 80, have functional disabilities, are free of chronic diseases, have never attended school, reside in lower-income households, are single, rarely interact with their children, and live in central urban or city/county regions. Thirdly, the mechanism test reveals that the "social network effect" and "family care effect" are the key influence channels of using CHECS. Conclusion: An empirical foundation for the policy reform of community home-based care for seniors is provided by this study with the limitations to discuss the other socioeconomic aspects such as government health expenditure and discuss the specific services aspects such as health care. The findings carry substantial implications for improving the health of older individuals and provide suggestions for establishing a socialized aged care system in China.

Effectiveness of creative story therapy for dementia: a systematic review and meta-analysis.

OBJECTIVE: To conduct a meta-analysis of the effectiveness of creative story therapy versus routine nursing alone for the treatment of dementia. METHODS: We manually searched PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), China VIP Database (VIP), China Biomedical Literature Database (CBM), and Wanfang Data up to May 2023. Randomized controlled trials (RCTs) of creative story therapy combined with routine nursing versus routine nursing for the treatment of dementia were included. RESULTS: A total of 597 participants were enrolled in the 9 RCTs. Among them, 296 were in the creative story therapy group, and 301 were in the routine nursing group. We found statistically significant effects of creative story therapy combined with routine nursing on cognitive function [standardized mean difference (SMD) = 0.99, 95% CI 0.57, 1.41, P < 0.00001], CSDD score [mean difference (MD) = - 1.71, 95% CI - 3.27, - 0.14, P < 0.00001], quality of life [SMD = 0.97, 95% CI 0.04, 1.90, P = 0.04], and social communication [MD = 0.46, 95% CI 0.17, 0.74, P < 0.00001] between the creative story therapy group and routine nursing groups; no significant difference in change in basic needs communication [MD = 0.09, 95% CI - 0.58, 0.76, P < 0.00001]. CONCLUSION: This meta-analysis shows that creative story therapy combined with routine nursing has significant effectiveness in improving cognitive function and depression in people with dementia. More high-quality RCTs are required to validate these results.

Causal Associations Between Gut Microbiota and Psoriasis: A Mendelian Randomization Study.

INTRODUCTION: Previous studies have proposed a possible gut-skin axis, and linked gut microbiota to psoriasis risks. However, there is heterogeneity in existing evidence. Observational research is prone to bias, and it is hard to determine causality. Therefore, this study aims to evaluate possible causal associations between gut microbiota (GM) and psoriasis. METHODS: With published large-scale GWAS (genome-wide association study) summary datasets, two-sample Mendelian randomization (MR) was performed to sort out possible causal roles of GM in psoriasis and arthropathic psoriasis (PsA). The inverse variance weighted (IVW) method was taken as the primary evaluation of causal association. As complements to the IVW method, we also applied MR-Egger, weighted median. Sensitivity analyses were conducted using Cochrane's Q test, MR-Egger intercept test, MR-PRESSO (Mendelian Randomization Pleiotropy RESidual Sum and Outlier) global test, and leave-one-out analysis. RESULTS: By primary IVW analysis, we identified nominal protective roles of Bacteroidetes (odds ratio, OR 0.81, P = 0.033) and Prevotella9 (OR 0.87, P = 0.045) in psoriasis risks. Bacteroidia (OR 0.65, P = 0.03), Bacteroidales (OR 0.65, P = 0.03), and Ruminococcaceae UCG002 (OR 0.81, P = 0.038) are nominally associated with lower risks for PsA. On the other hand, Pasteurellales (OR 1.22, P = 0.033), Pasteurellaceae (OR 1.22, P = 0.033), Blautia (OR 1.46, P = 0.014), Methanobrevibacter (OR 1.27, P = 0.026), and Eubacterium fissicatena group (OR 1.21, P = 0.028) are nominal risk factors for PsA. Additionally, E. fissicatena group is a possible risk factor for psoriasis (OR 1.22, P = 0.00018). After false discovery rate (FDR) correction, E. fissicatena group remains a risk factor for psoriasis (PFDR = 0.03798). CONCLUSION: We comprehensively evaluated possible causal associations of GM with psoriasis and arthropathic psoriasis, and identified several nominal associations. E. fissicatena group remains a risk factor for psoriasis after FDR correction. Our results offer promising therapeutic targets for psoriasis clinical management.

Tea intake or consumption and the risk of dementia: a meta-analysis of prospective cohort studies.

Purpose: Dementia affects as many as 130 million people, which presents a significant and growing medical burden globally. This meta-analysis aims to assess whether tea intake, tea consumption can reduce the risk of dementia, Alzheimer's disease (AD) and Vascular dementia (VD). Patients and methods: Cochrane Library, PubMed and Embase were searched for cohort studies from inception to November 1, 2022. The Newcastle Ottawa Quality Assessment Scale (NOS) was applied to evaluate the risk of bias of the included studies. We extracted the data as the relative risks (RRs) for the outcome of the interest, and conducted the meta-analysis utilizing the random effect model due to the certain heterogeneity. Sensitivity analysis were performed by moving one study at a time, Subgroup-analysis was carried out according to different ages and dementia types. And the funnel plots based on Egger's and Begger's regression tests were used to evaluate publication bias. All statistical analyses were performed using Stata statistical software version 14.0 and R studio version 4.2.0. Results: Seven prospective cohort studies covering 410,951 individuals, which were published from 2009 and 2022 were included in this meta-analysis. The methodological quality of these studies was relatively with five out of seven being of high quality and the remaining being of moderate. The pooling analysis shows that the relationship between tea intake or consumption is associated with a reduced risk of all-cause dementia (RR = 0.71, 95% CI [0.57-0.88], I2 = 79.0%, p < 0.01). Further, the subgroup-analysis revealed that tea intake or consumption is associated with a reduced risk of AD (RR = 0.88, 95% CI [0.79-0.99], I2 = 52.6%, p = 0.024) and VD (RR = 0.75, 95% CI [0.66-0.85], I = 0.00%, p < 0.001). Lastly, tea intake or consumption could reduce the risk of all-cause dementia to a greater degree among populations with less physical activity, older age, APOE carriers, and smokers. Conclusion: Our meta-analysis demonstrated that tea (green tea or black tea) intake or consumption is associated with a significant reduction in the risk of dementia, AD or VD. These findings provide evidence that tea intake or consumption should be recognized as an independent protective factor against the onset of dementia, AD or VD.

Effectiveness and safety of ginkgo biloba preparations in the treatment of Alzheimer's disease: A systematic review and meta-analysis.

Objective: To conduct a meta-analysis of the effectiveness and safety of ginkgo biloba preparations combined with donepezil hydrochloride vs. donepezil for the treatment of Alzheimer's disease (AD). Methods: Three English databases (Cochrane Library, PubMed, EMBASE), and four Chinese databases [the China National Knowledge Infrastructure (CKNI), the Chinese Biomedical Literature database (CBM), the Chongqing VIP database, and WANFANG DATA)] were manually searched for literature published from the respective dates of inception of the databases to December 2022. The randomized controlled trials (RCTs) of ginkgo biloba preparations with donepezil hydrochloride vs. donepezil for the treatment of AD were included. Relevant literature was screened, and the data in the included studies were extracted for quality assessment according to the Risk of bias tool. The RevMan 5.3 software was used for meta-analysis. Results: A total of 1,642 participants were enrolled in the 18 RCTs. Of these, 842 were in the experimental group (ginkgo biloba preparations combined with donepezil hydrochloride) and 800 were in the control group (donepezil). The overall methodological quality of the included RCTs is poor due to the high risks of blindness and allocation concealment. The meta-analysis results showed statistically significant differences in several outcomes including Risk Ratio (RR) in change for clinical effectiveness rate (1.23, 95% CI 1.13, 1.34, P < 0.00001), mean difference (MD) in change for Mini-Mental State Examination score (3.02, 95% CI 2.14, 3.89, P < 0.00001), Activity of Daily Living Scale score (-4.56, 95% CI -5.09, -4.03, P < 0.00001), Hasegawa Dementia Scale score (2.04, 95% CI 1.74, 2.34, P < 0.00001), Montreal Cognitive Assessment score (2.38, 95% CI 0.72, 4.06, P = 0.005), between the experimental and control groups. But there is no statistically significant difference in change for adverse reaction (0.91, 95% CI 0.58, 1.42, P = 0.69). Conclusion: Ginkgo biloba preparations plus donepezil can improve clinical effectiveness rate and vocabulary memory outcomes. However, more relevant high-quality RCTs are needed in the future to validate these results. Systematic review registration: Identifier CRD42022378970.

The posttraumatic cognitive appraisal inventory (PTCAI): development and validation.

Objective: This study aims to develop and validate the Posttraumatic Cognitive Appraisal Inventory (PTCAI) for accidental trauma survivors. Method: Based on interviews and expert feedback, the initial item pool was generated for the Negative Cognitive Appraisal Inventory of Loss and Feeling Threatened, and the Positive Cognitive Appraisal Inventory of Positively Face, Self-Sense, and Relationships. Then, we recruited two groups of accidental trauma survivors to examine the reliability and validity of the PTCAI. Item analysis and exploratory factor analysis (EFA) were conducted on Sample 1. Confirmatory factor analysis (CFA), Pearson correlation analysis, and internal consistency reliability analysis were applied to Sample 2. After 2 weeks, 20 survivors completed the PTCAI again to test temporal stability. Results: Following item analysis, the PTCAI was reduced to 27 items. The results of the EFA demonstrated that the five-factor, 27-item solution of the PTCAI was appropriate, which accounted for 63.931% of the total variation. The CFA indicated that the five-factor second-order model offered an excellent fit to the data. Loss and Feeling threatened were equally important in the study participants' negative cognitive appraisal of accidental traumas. Self-sence was the most important positive cognitive appraisal of accidental traumas by the study participants. Positively Face and Relationships were somewhat behind. Additionally, the PTCAI demonstrated high concurrent validity and reliability (test-retest and internal consistency). Conclusion: The PTCAI appears to be a reliable and valid instrument for assessing cognitive appraisals of accidental trauma survivors.

The Relationship between Intelligent Image Simulation and Recognition Technology and the Health Literacy and Quality of Life of the Elderly.

In order to explore the relationship between intelligent image recognition technology and the mentality and quality of life of the elderly, this paper combines intelligent image simulation technology to identify the behavior of the elderly, protect the safety of the elderly, and provide timely feedback on the adverse conditions of the elderly. Moreover, this paper improves the traditional intelligent image recognition algorithm, verifies the research method of this paper through experimental research, and puts forward corresponding suggestions. Through investigation and research, we can see that the level of health literacy of elderly patients with chronic diseases is low. Therefore, in the future health education, we should strengthen health education for elderly patients with chronic diseases, use different mass media to propagate health knowledge, and promote the formation of healthy lifestyles and behaviors for elderly patients with chronic diseases. At the same time, the experiment also verified that the intelligent image recognition technology proposed in this paper has a positive effect in improving the mentality and quality of life of the elderly.

Nursing students' attitudes, knowledge and willingness of to receive the coronavirus disease vaccine: A cross-sectional study.

AIM: This study aimed to investigate the knowledge, attitudes and willingness of nursing students to receive the coronavirus disease (COVID-19) vaccine and the influencing factors. BACKGROUND: Vaccination is one of the most effective measures to prevent COVID-19, but the vaccination acceptance rate varies across countries and populations. As trustworthy healthcare providers, nursing students' attitudes, knowledge and willingness to receive the COVID-19 vaccine may greatly affect the present and future vaccine acceptance rates of the population; however, studies related to the vaccine acceptance rates among nursing students are limited. METHODS: A convenience sampling method was adopted to select two medical universities in China. Following the cluster sampling method, nursing college students who were eligible for the study were selected. A cross-sectional survey was conducted by asking nursing students to complete an online questionnaire from February to April 2021. Descriptive statistics, t-tests/one-way analysis of variance (normal distribution), U tests/H tests (skewness distribution) and multivariate linear regression were performed. RESULTS: A total of 1488 valid questionnaires were collected. The score rates of the attitude, knowledge and vaccination willingness dimensions were 70.07%, 80.70% and 84.38%, respectively. Attitude was significantly influenced by vaccination status of family members. The main factors influencing knowledge were gender, grade and academic background. In terms of willingness, gender, academic background, visits to high-risk areas, vaccination status of family members and the side effects experienced after receiving other vaccines were significant influencing factors. CONCLUSIONS: Nursing students showed satisfactory vaccine acceptance rates. However, more attention should be paid to male students, younger students, those with a medical background, those with low grades and those whose family members had not received the COVID-19 vaccine or had side effects from the vaccine.