The Association Between Vitamin D Deficiency and Diabetes in Adult African Americans and Whites: An NHANES Study.

OBJECTIVE: The primary objective of this cross-sectional study is to investigate the association between vitamin D deficiency (VDD) and diabetes and see if this association is the same for adult (age ≥ 20) African Americans (AAs) and Whites. The secondary objective is to examine the distribution of the 25-hydroxyvitamin D test among AAs and Whites and to evaluate the appropriateness of using the same cut-off point for both groups to diagnose VDD. METHODS: Our analysis is based on the 2011-2014 National Health and Nutrition Examination Surveys (NHANES). We used two common propensity score adjustment methods to analyze the data-propensity score matching (PSM) and the inverse probability of treatment weighting (IPTW). RESULTS: The prevalence of diabetes for AAs and Whites was 12.27% (95% CI, 10.47-14.07%) and 7.24% (95% CI, 6.35-8.13%), respectively. The prevalence of VDD for AAs and Whites was 65.29% (95% CI, 62.01-68.58%) and 19.49% (95% CI, 16.53-22.45%), respectively. Under PSM, the odds ratios for the diabetes-VDD association for AAs and Whites were 0.94 (95% CI, 0.70-1.27) and 2.16 (95% CI, 1.49-3.13), respectively. Under IPTW, the VDD-diabetes odds ratios for AAs and Whites were 0.83 (95% CI, 0.64-1.10) and 2.35 (95% CI, 1.67-3.30), respectively. Our results further demonstrate that the 25-hydroxyvitamin D measurements are significantly different for AAs and Whites across the general population, as well as the vitamin D-sufficient and vitamin D-deficient populations. CONCLUSION: The prevalence of VDD and diabetes was higher for AAs compared to Whites. However, VDD was associated with increased diabetes risk for Whites but not for AAs. Though more research is needed to explain why this is the case, a reason for this may be that the 25-hydroxyvitamin D test or its associated cut-off point for defining VDD may not accurately reflect the vitamin D status among AAs.

Response Mechanisms of Zelkova schneideriana Leaves to Varying Levels of Calcium Stress.

Calcium stress can negatively impact plant growth, prompting plants to respond by mitigating this effect. However, the specific mechanisms underlying this response remain unclear. In this study, we used non-targeted metabolomics and transcriptomics to investigate the response mechanisms of Zelkova schneideriana leaves under varying degrees of calcium stress. Results revealed that calcium stress led to wilt in young leaves. When calcium stress exceeds the tolerance threshold of the leaf, it results in wilting of mature leaves, rupture of chloroplasts in palisade tissue, and extensive wrinkling and breakage of leaf cells. Transcriptomic analysis indicated that calcium stress inhibited photosynthesis by suppressing the expression of genes related to photosynthetic system II and electron transport. Leaf cells activate phenylpropanoid biosynthesis, flavonoid biosynthesis, and Vitamin B6 metabolism to resist calcium stress. When calcium accumulation gradually surpassed the tolerance threshold of the cells, this results in failure of conventional anti-calcium stress mechanisms, leading to cell death. Furthermore, excessive calcium stress inhibits the expression of CNGC and anti-pathogen genes. The results of the metabolomics study showed that five key metabolites increased in response to calcium stress, which may play an important role in countering calcium stress. This study provides insights into the response of Z. schneideriana leaves to different levels of calcium stress, which could provide a theoretical basis for cultivating Z. schneideriana in karst areas and enhance our understanding of plant responses to calcium stress.

Infertility care in an underserved population: A retrospective chart review of a resident-run clinic at an urban, public hospital.

Despite major advances in infertility services, barriers to care as well as disparities in outcomes remain a significant problem. The cost of treatment, lack of or inadequate coverage, and location of infertility clinics are obvious contributors, however, advanced pathology, coexistent medical conditions, and lack of preconception care also contribute to delay in fertility particularly in underserved communities. Previous studies have discussed the role of trainee-run clinics in lower socioeconomic populations in providing low-cost infertility evaluation and management. This study uses a retrospective chart review to compare the etiology and duration of infertility in our patients to the general infertility patient population, to describe the coexistent medical pathologies within our population at initial presentation to infertility care, and to discuss how our clinic is addressing the gap in infertility care. PRECIS: Resident-run clinics offer a unique role in increasing access to care through preconception care and low-cost fertility treatment.

Combined Analysis of Untargeted Metabolomics and Transcriptomics Revealed Seed Germination and Seedling Establishment in Zelkova schneideriana.

Zelkova schneideriana Hand.-Mazz is a valuable ornamental tree and timber source, whose seedling breeding and large-scale cultivation are restricted by low seed germination and seedling rates. The regulatory mechanisms underlying seed germination and seedling establishment in Z. schneideriana remain unknown. This study conducted metabolomic and transcriptomic analyses of seed germination and seedling establishment in Z. schneideriana. Regular expression of genes and metabolite levels has been observed in plant hormone signal transduction, starch and sucrose metabolism, linoleic acid metabolism, and phenylpropanoid biosynthesis. The reduction in abscisic acid during seed germination may lead to seed release from dormancy. After the seed is released from dormancy, the metabolic levels of auxin, cytokinins, brassinolide, and various sugars are elevated, and they are consumed in large quantities during the seedling establishment stage. Linoleic acid metabolism is gradually activated during seedling establishment. Transcriptome analysis showed that a large number of genes in different metabolic pathways are upregulated during plant establishment, and material metabolism may be accelerated during seedling establishment. Genes regulating carbohydrate metabolism are altered during seed germination and seedling establishment, which may have altered the efficiency of carbohydrate utilization. In addition, the syntheses of lignin monomers and cellulose have different characteristics at different stages. These results provide new insights into the complex mechanisms underlying seed germination and seedling establishment in Z. schneideriana and other woody plants.

Longitudinal changes in diet quality and food intake before and after diabetes awareness in American adults: the Coronary Artery Risk Development in Young Adults (CARDIA) study.

INTRODUCTION: Limited longitudinal research is available examining how American adults make dietary changes after learning they have diabetes. We examined the associations between diabetes awareness and changes in dietary quality and food intake in a prospective cohort from the Coronary Artery Risk Development in Young Adults (CARDIA) study. RESEARCH DESIGN AND METHODS: A nested case-control design was used. In the original CARDIA study, black and white participants were recruited from four US urban areas and partitioned into one control group (no diabetes over 30-year follow-up) and three case groups (early-onset, intermediate-onset, later-onset diabetes groups) based on timing of diagnosis and first awareness of diabetes. Estimated mean A Priori Diet Quality Score (APDQS), and food subgroup intake were examined at three CARDIA examinations (year (Y)0, Y7, and Y20). The mean APDQS with 95% CIs and food intake (servings/day) were compared across the one control group and three case groups using exam-specific and repeated measures linear regression. RESULTS: Among 4576 participants (mean age: 25±4 years; 55% female; 49% black race), 653 incident cases (14.3%) of diabetes were observed over 30 years. APDQS was lowest at Y0 when the diabetes-free participants were aged 18-30 years (61.5-62.8), but increased over 20 years with advancing age across all groups (64.6-73.3). Lower APDQS in young adulthood was associated with a higher incidence of diabetes later in life. Diabetes awareness was associated with a net increase of 2.95 points in APDQS. The greatest increase of APDQS was when people learned of their diabetes for the first time (an increase of 5.71 in early-onset and 6.64 in intermediate-onset diabetes groups, respectively). CONCLUSIONS: Advancing age and diabetes awareness were associated with more favorable dietary changes leading to improved diet quality. Optimal diet quality and healthy food intake in young adulthood seem important to prevent diabetes later in life.

Carotid Intima-Media Thickness and Improved Stroke Risk Assessment in Hypertensive Black Adults.

BACKGROUND: We aim to determine the added value of carotid intima-media thickness (cIMT) in stroke risk assessment for hypertensive Black adults. METHODS: We examined 1,647 participants with hypertension without a history of cardiovascular (CV) disease, from the Jackson Heart Study. Cox regression analysis estimated hazard ratios (HRs) for incident stroke per standard deviation increase in cIMT and quartiles while adjusting for baseline variables. We then evaluated the predictive capacity of cIMT when added to the pool cohort equations (PCEs). RESULTS: The mean age at baseline was 57 ± 10 years. Each standard deviation increase in cIMT (0.17 mm) was associated with approximately 30% higher risk of stroke (HR 1.27, 95% confidence interval: 1.08-1.49). Notably, cIMT proved valuable in identifying residual stroke risk among participants with well-controlled blood pressure, showing up to a 56% increase in the odds of stroke for each 0.17 mm increase in cIMT among those with systolic blood pressure <120 mm Hg. Additionally, the addition of cIMT to the PCE resulted in the reclassification of 58% of low to borderline risk participants with stroke to a higher-risk category and 28% without stroke to a lower-risk category, leading to a significant net reclassification improvement of 0.22 (0.10-0.30). CONCLUSIONS: In this community-based cohort of middle-aged Black adults with hypertension and no history of CV disease at baseline, cIMT is significantly associated with incident stroke and enhances stroke risk stratification.

Pre-hospital symptom clusters and symptom network analysis in decompensated cirrhotic patients: A cross-sectional study.

AIMS: To generate pre-hospital symptom networks, explore core, bridge and sentinel symptoms, identify pre-hospital symptom clusters and analyse relationship between influencing factors and symptom clusters in decompensated cirrhosis patients. DESIGN: A cross-sectional study design using the Strengthening the Reporting of Observational Studies in Epidemiology checklist. METHODS: Demographical, physiological, psychological and sociological characteristics and the pre-hospital symptoms of 292 decompensated cirrhotic patients were collected from October 2021 to March 2023 in China. Frequencies, percentages, means, standard deviations, independent samples t-tests, one-way analysis of variance, exploratory factor analysis, multiple stepwise regression analysis and network analysis were used for data analysis. RESULTS: 'I don't look like myself' and itching were core and bridge symptoms, while bloating and lack of energy were sentinel symptoms in decompensated cirrhotic patients. Monthly family income, anxiety, depression, social support and disease duration influenced the neuropsychological symptom cluster, with worrying as the strongest predictor symptom. Influential factors for cirrhosis-specific symptom cluster included Child-Pugh class, monthly family income, disease duration, anxiety and depression, with itching being the strongest predictor symptom. Monthly family income, disease duration and depression were influential factors for gastrointestinal symptom cluster, with loss of appetite as the strongest predictor symptom. CONCLUSIONS: Neuropsychological, cirrhosis-specific and gastrointestinal symptom clusters were formed in decompensated cirrhotic patients. Through network analysis, direct connections between symptoms, symptom clusters and their influencing factors were revealed, thereby offering clinicians a foundation for effectively managing patients' pre-hospital symptoms. IMPACT: Decompensated cirrhosis patients commonly have multiple symptoms, while the management of pre-hospital symptoms is often suboptimal. This study identified neuropsychological, cirrhosis-specific, gastrointestinal symptom clusters and recognized core, bridge and sentinel symptoms in these patients. It also revealed the most prominent symptoms within each cluster. This provides insight into the hierarchy of symptoms, improving symptom management in decompensated cirrhosis. PATIENT AND PUBLIC INVOLVEMENT: There was no patient or public involvement.

Machine learning to predict risk for community-onset Staphylococcus aureus infections in children living in southeastern United States.

Staphylococcus aureus (S. aureus) is known to cause human infections and since the late 1990s, community-onset antibiotic resistant infections (methicillin resistant S. aureus (MRSA)) continue to cause significant infections in the United States. Skin and soft tissue infections (SSTIs) still account for the majority of these in the outpatient setting. Machine learning can predict the location-based risks for community-level S. aureus infections. Multi-year (2002-2016) electronic health records of children <19 years old with S. aureus infections were queried for patient level data for demographic, clinical, and laboratory information. Area level data (Block group) was abstracted from U.S. Census data. A machine learning ecological niche model, maximum entropy (MaxEnt), was applied to assess model performance of specific place-based factors (determined a priori) associated with S. aureus infections; analyses were structured to compare methicillin resistant (MRSA) against methicillin sensitive S. aureus (MSSA) infections. Differences in rates of MRSA and MSSA infections were determined by comparing those which occurred in the early phase (2002-2005) and those in the later phase (2006-2016). Multi-level modeling was applied to identify risks factors for S. aureus infections. Among 16,124 unique patients with community-onset MRSA and MSSA, majority occurred in the most densely populated neighborhoods of Atlanta's metropolitan area. MaxEnt model performance showed the training AUC ranged from 0.771 to 0.824, while the testing AUC ranged from 0.769 to 0.839. Population density was the area variable which contributed the most in predicting S. aureus disease (stratified by CO-MRSA and CO-MSSA) across early and late periods. Race contributed more to CO-MRSA prediction models during the early and late periods than for CO-MSSA. Machine learning accurately predicts which densely populated areas are at highest and lowest risk for community-onset S. aureus infections over a 14-year time span.

Influence of Mask Wearing during COVID-19 Surge and Non-Surge Time Periods in Two K-12 Public School Districts in Georgia, USA.

BACKGROUND: Into the third year of the COVID-19 pandemic and the second year of in-person learning for many K-12 schools in the United States, the benefits of mitigation strategies in this setting are still unclear. We compare COVID-19 cases in school-aged children and adolescents between a school district with a mandatory mask-wearing policy to one with an optional mask-wearing policy, during and after the peak period of the Delta variant wave of infection. METHODS: COVID-19 cases during the Delta variant wave (August 2021) and post the wave (October 2021) were obtained from public health records. Cases of K-12 students, stratified by grade level (elementary, middle, and high school) and school districts across two counties, were included in the statistical and spatial analyses. COVID-19 case rates were determined and spatially mapped. Regression was performed adjusting for specific covariates. RESULTS: Mask-wearing was associated with lower COVID-19 cases during the peak Delta variant period; overall, regardless of the Delta variant period, higher COVID-19 rates were seen in older aged students. CONCLUSION: This study highlights the need for more layered prevention strategies and policies that take into consideration local community transmission levels, age of students, and vaccination coverage to ensure that students remain safe at school while optimizing their learning environment.

Effects of physical activity interventions on executive function in older adults with dementia: A meta-analysis of randomized controlled trials.

BACKGROUND: To date quantitative meta-analysis with large samples to investigate the effects and potential moderators of physical activity (PA) on executive function (EF) in older adults with dementia is insufficient. Therefore, we conducted this meta-analysis. DESIGN: Meta-analysis of randomized controlled trials (RCTs). PARTICIPANTS: Old people with Alzheimer's disease (AD) or related dementia of varying types and severity as the primary diagnosis. METHODS: PubMed, Web of Science, the Cochrane Library and Embase databases were searched for relevant studies published from 01 January, 2010 to 01 March, 2022. The results of executive function were reported in all RCTs. Random-effects meta-analysis was used to calculate the size of effects. Subgroup analyses of three moderators (including the specific sub-domains of EF, exercise prescription variables, and sample characteristics) were performed. RESULTS: Eighteen RCTs were included with a combined sample size of 1366. Overall, PA interventions improved overall EF (standardized mean difference [SMD]=0.23, 95% confidence interval [CI] 0.05 to 0.41, p<0.05). The EF sub-domain "planning" was significant moderator (SMD=0.31, 95%CI 0.11 to 1.51, p<0.01), but inhibitory control, working memory and cognitive flexibility were not significant. Regarding exercise prescription variables, type of resistance training; moderate intensity; total duration ≤24 weeks and short (once or twice a week) frequency improved overall EF performance. Session length may be a moderator. Regarding sample characteristics, old-old, AD and both dementia and AD had significant benefits. CONCLUSIONS AND IMPLICATIONS: EF in older adults with AD or related dementia benefited from physical activity, and the benefit was affected by the type, intensity, total duration, frequency of exercise. Physical activity can be an alternative intervention in aging patients with dementia, to improve EF performance or prevent or EF decline.

Effects of a virtual simulation-based interprofessional education activity for rehabilitation nursing using shared resources: A quasi-experimental study.

BACKGROUND: Interprofessional education (IPE) is crucial for effective clinical practice but remains challenging to be implemented. The IPE activity using virtual simulation (VS) may potentially solve the time and space challenges of in-person interprofessional simulations. Using shared VS resources may increase the popularity of virtual teaching in conditions of limited resources. OBJECTIVES: Using shared resources, this study aimed to design and implement a VS-based IPE activity for undergraduate healthcare students, exploring the effects. DESIGN: A quasi-experimental design was used, with assessments conducted before and after the activity. SETTINGS: One university and its affiliated hospitals in south China. PARTICIPANTS: Forty-two undergraduate students majoring in nursing, clinical medicine, and rehabilitation therapy participated in this study. METHODS: A test composed of ten questions was used to evaluate knowledge of rehabilitation. The Chinese version of Critical Thinking Disposition Inventory (CTDI-CV) and the Chinese version of Assessment of Interprofessional Team Collaboration in Student Learning Scale (AITCS-II (Student)-CV) were used to evaluate critical thinking and interprofessional collaboration. Participants' opinions about the activity were assessed, considering satisfaction, perceived effectiveness, the ease of shared VS platform use, and suggestions about the activity. RESULTS: Significant improvements were shown in pre- and post-test total scores on knowledge of rehabilitation, mean scores for overall critical thinking disposition, and mean item scores on overall interprofessional team collaboration. CONCLUSIONS: The study provides a reference for designing and implementing VS-based IPE but the effects of this innovative pedagogy on students' rehabilitation knowledge, critical thinking, and interprofessional collaboration ability still need to be further confirmed. Most of the students gave positive feedback on the activity. Technical issues should be addressed to decrease their impacts on the VS practice experience.

Effects of BOPPPS combined with TBL in surgical nursing for nursing undergraduates: a mixed-method study.

BACKGROUND: Surgical Nursing is a core subject for nursing undergraduates that requires active and effective learning strategies to cultivate students' autonomous learning competencies and critical thinking. The effects of BOPPPS (Bridge-in, Objectives, Pretest, Participatory Learning, Post-test and Summary) model combined with team-based learning (TBL) have rarely been explored in Surgical Nursing courses. OBJECTIVE: To explore the effects of BOPPPS combined with TBL in Surgical Nursing for nursing undergraduates. METHODS: A mixed research method of quasi-experimental study design and descriptive qualitative research was used. The control group included 27 nursing undergraduates who had finished the Surgical Nursing course using traditional learning. The experimental group included 36 nursing undergraduates were enrolled in to receive the Surgical Nursing course in the teaching mode of BOPPPS combined with TBL. The quantitative data of students' Surgical Nursing final scores, autonomous learning competencies and critical thinking ability of the two groups were collected and compared by t-test. Qualitative results were obtained through semi-structured interviews and data were analyzed by thematic analysis method. RESULTS: Compared with the traditional learning mode, BOPPPS combined with TBL significantly improved nursing students' final examination scores, autonomous learning competencies and critical thinking ability (p < 0.05). Qualitative results from 14 undergraduate nursing students' interviews were summarized into five themes: (1) stimulating learning interest; (2) improving autonomous learning ability; (3) improving the sense of teamwork; (4) exercising critical thinking; and (5) suggestions for improvement. CONCLUSIONS: The combination of BOPPPS and TBL positively impacted nursing students by improving their autonomous learning competencies and critical thinking ability. The study suggests BOPPPS combined with TBL learning as an effective, alternative learning mode.

Predicting Low-Level Childhood Lead Exposure in Metro Atlanta Using Ensemble Machine Learning of High-Resolution Raster Cells.

Low-level lead exposure in children is a major public health issue. Higher-resolution spatial targeting would significantly improve county and state-wide policies and programs for lead exposure prevention that generally intervene across large geographic areas. We use stack-ensemble machine learning, including an elastic net generalized linear model, gradient-boosted machine, and deep neural network, to predict the number of children with venous blood lead levels (BLLs) ≥2 to <5 µg/dL and ≥5 µg/dL in ~1 km2 raster cells in the metro Atlanta region using a sample of 92,792 children ≤5 years old screened between 2010 and 2018. Permutation-based predictor importance and partial dependence plots were used for interpretation. Maps of predicted vs. observed values were generated to compare model performance. According to the EPA Toxic Release Inventory for air-based toxic release facility density, the percentage of the population below the poverty threshold, crime, and road network density was positively associated with the number of children with low-level lead exposure, whereas the percentage of the white population was inversely associated. While predictions generally matched observed values, cells with high counts of lead exposure were underestimated. High-resolution geographic prediction of lead-exposed children using ensemble machine learning is a promising approach to enhance lead prevention efforts.

Research Hotspots and Global Trends of Transcranial Direct Current Stimulation in Stroke: A Bibliometric Analysis.

Purpose: Transcranial direct current stimulation has been widely used in the clinical treatment of stroke. The purpose of this study was to perform a bibliometric analysis of scientific literature in this field. Methods: Articles and reviews regarding transcranial direct current stimulation in stroke from January 01, 2004 to May 31, 2022 were identified from the Science Citation Index-Expanded of the Web of Science Core Collection database. CiteSpace 6.1.R2, Bibliometrix and the Bibliometric Online Analysis Platform were used to analyze data. Results: A total of 905 papers were obtained, with the highest number of publications coming from the USA. The institutions and authors with the most publications were Harvard Medical School and Fregni F respectively. Nitsche MA had the most co-citations, followed by Fregni F. Neurosciences was the most fruitful research area and Brain Stimulation had the highest H-index. The research topics could be divided into three sections: mechanisms of treatment, comparison of efficacy with transcranial magnetic stimulation, clinical application of post-stroke dysfunction. The field of "walking", "strength" and "virtual reality therapy" are the future research hotspots of transcranial direct current stimulation. Conclusion: The overall research showed a slow growth trend, and the outstanding contribution of the USA in this field cannot be ignored. Relevant researchers are suggested to focus on international collaboration and actively conduct high-quality randomized controlled clinical trials on research hotspots and frontiers in order to identify the optimal stimulation paradigm for clinical purposes.

Hybridization of amantadine with gardenamide A enhances NMDA antagonism and in vivo anti-PD effects.

Eight hybrids of amantadine (ATD) with a natural modulator gardenamide A (GA) via an alkylene carbonyl bridge or alkylene bridge have been designed and synthesized. Evaluated by electrophysiological assay, compound 5b was confirmed an enhanced NMDAR antagonist compared to ATD with IC50 value of 10.2 ± 1.2 µM. 5b has been demonstrated to reverse the damages of behavioral performance, the loss of dopaminergic neurons, the reduction of TH positive, and the increase of α-synuclein in both MPTP-treated mice and zebrafish models. In both ethological and ecological experiments, the activity of 5b was confirmed better than ATD or ATD/GA combination, and was almost equal to the positive selegiline. In vivo and in vitro, 5b is shown to reverse the ascend of NR1 and i-NOS levels. This candidate was also demonstrated the activity to down-regulated MPTP-increased Ca2+ influx in SH-SY5Y cells in a steep and sharp mode. It is displayed that 5b exerts neuroprotective effect partly by activating the PI3K/Akt signaling pathway. Taken all together, our data support that 5b is a more promising agent against PD than ATD.

Association of Cardiovascular Health Score With Early- and Later-Onset Diabetes and With Subsequent Vascular Complications of Diabetes.

BACKGROUND Little attention has been paid to how well the American Heart Association's cardiovascular health (CVH) score predicts early-onset diabetes in young adults. We investigated the association of CVH score with early- and later-onset diabetes and with subsequent complications of diabetes. METHODS AND RESULTS Our sample included 4547 Black and White adults in the CARDIA (Coronary Artery Risk Development in Young Adults) study without diabetes at baseline (1985-1986; aged 18-30 years) with complete data on the CVH score at baseline, including smoking, body mass index, physical activity, diet quality, total cholesterol, blood pressure, and fasting blood glucose. Incident diabetes was determined based on fasting glucose, 2-hour postload glucose, hemoglobin A1c, or self-reported medication use throughout 8 visits for 30 years. Multinomial logistic regression was used to assess the association between CVH score and diabetes onset at age <40 years (early onset) versus age ≥40 years (later onset). Secondary analyses assessed the association between CVH score and risk of complications (coronary artery calcium, clinical cardiovascular disease, kidney function markers, diabetic retinopathy, and diabetic neuropathy) among a subsample with diabetes. We identified 116 early- and 502 later-onset incident diabetes cases. Each 1-point higher CVH score was associated with lower odds of developing early-onset (odds ratio [OR], 0.64 [95% CI, 0.58-0.71]) and later-onset diabetes (OR, 0.78 [95% CI, 0.74-0.83]). Lower estimates of diabetic complications were observed per 1-point higher CVH score: 19% for coronary artery calcification≥100, 18% for cardiovascular disease, and 14% for diabetic neuropathy. CONCLUSIONS Higher CVH score in young adulthood was associated with lower early- and later-onset diabetes as well as diabetic complications.

Evaluating the effects of simulated interprofessional teaching on the development of clinical core competence in nursing students: a mixed methods study.

BACKGROUND: While single-method studies have reported on the effectiveness of simulated interprofessional teaching, our understanding of its full effects remains incomplete. Teaching design also provides no relevant theoretical guidance, which reduces the scientific quality and rigor of research. The purpose of this work was to study the effects of the simulated interprofessional education (SIPE) teaching model based on the 3P theory on the course of "Clinical Critical Thinking Training" through a convergent mixed method, and to provide the basis for future teaching design. METHODS: A convergent mixed-method design was used, which consisted of a survey and a semi-structured interview. Data collection took place from September 2021 to July 2022. A cluster sampling method was used to select 60 full-time nursing students from a school in China, and randomly divide them into a control group of 36 and an experimental group of 24. According to the principle of voluntary participation, 6 students majoring in clinical medicine and 6 students majoring in pharmacy were recruited to join the experimental group to form an interprofessional team. The students studied "Clinical Critical Thinking Training" together, in which the control group used traditional simulation teaching and the experimental group used SIPE. The CCTDI (California Critical Thinking Disposition Inventory) and AITCS-II Student (Assessment of Interprofessional Team Collaboration in Student Learning Scale) were used for quantitative evaluation before and after the course, and descriptive statistics and Mann-Whitney U test were used to compare the critical thinking and interprofessional collaboration skills of the two groups of students. Semi-structured interviews were used for qualitative evaluation. Thematic analysis was used to understand student development on the basis of inter-professional core competencies and learning experience. RESULTS: The students' interprofessional cooperation abilities and critical thinking scores improved compared with the beginning of the course, but the scores of the experimental group were significantly higher than the control group (p < 0.05). Three themes emerged regarding simulated interprofessional teaching: clarifying team positioning, improving team efficiency, and optimizing the learning experience. CONCLUSION: SIPE can build students' critical thinking, teamwork, and interprofessional core competencies, which makes it a useful teaching design.

The complete chloroplast genome of Dendrobium moschatum (Buch.-Ham.) Sw. 1805 (Orchidaceae).

The morphological characteristic of Dendrobium moschatum (Buch.-Ham.) Sw. 1805 is very distinctive among Dendrobium Sw. 1799, and it has high medicinal and ornamental values. Here, we reported the first complete chloroplast genome of D. moschatum. The complete genome of D. moschatum was 159,701 bp in length with 130 genes, including 38 tRNA, 8 rRNA, and 84 protein-coding genes. Phylogenetic analysis showed that D. moschatum was strongly allied with D. denneanum Kerr. 1933.

Young-onset colon cancer among people living with HIV in metropolitan Atlanta.

PURPOSE: Colon cancer is a leading cause of cancer-related morbidity and mortality in the USA. We sought to better characterize colon cancer among a predominantly Black cohort with and without HIV. METHODS: We retrospectively reviewed all patients (n = 1482) diagnosed with colon cancer between 2015 and 2019 at a large urban tertiary teaching hospital using ICD-9 and ICD-10 codes. In this cohort, 114 (7.7%) of the patients also had HIV. Descriptive summaries were performed for gender, age, race/ethnicity, insurance status, tobacco/alcohol use, and BMI. RESULTS: Among patients with colon cancer only, 50.51% (n = 691) were men and 49.49% (n = 677) were women. Among patients with both HIV and colon cancer, 78.95% (n = 90) were men and 21.05% (n = 24) were women (p-value < 0.001). The mean age of the colon cancer patient sample was 61.62 years for those without HIV and 51.31 years for those with HIV (p-value < 0.001). Persons with both HIV and colon cancer were more likely to have a lower BMI (p-value < 0.001) and a history of smoking and alcohol use (p-value < 0.001), compared to patients with colon cancer only. When accounting for BMI, tobacco, and alcohol use, those with HIV were 10 years younger than those without HIV, 95% CI, 7.3-13; p < 0.001. CONCLUSIONS: In this study, HIV positive status was a risk factor for developing colon cancer at a younger age. Larger observational studies with multivariable analysis should be done to better describe the risk of colon cancer and HIV.

Effects of ARCS model-based motivational teaching strategies in community nursing: A mixed-methods intervention study.

BACKGROUND: Learning motivation is important for students to master professional knowledge. Teaching strategies play a role in promoting learning motivation and cultivating nursing students' critical thinking. OBJECTIVES: To apply the Attention, Relevance, Confidence, and Satisfaction (ARCS) model-based motivational teaching strategies in a community nursing course and evaluate the effects on learning motivation, critical thinking, and self-learning ability. DESIGN: A mixed-methods study using a quasi-experimental design and descriptive qualitative analysis. METHODS: Thirty-six third-year nursing students were divided into two groups. The experimental group was exposed to motivational teaching strategies based on the ARCS model in the 12-week community nursing course. The control group received traditional teaching. Students' critical thinking, self-learning ability and academic performance were quantitatively assessed, with t-tests performed to compare learning outcomes. Qualitative outcomes were evaluated through semi-structured interviews, analyzed by using thematic analysis. RESULTS: Students in the experimental group demonstrated significantly greater critical thinking and higher test scores than those in the control group. The self-learning ability and learning motivation of the students exposed to ARCS were also strengthened, and students reported high levels of satisfaction with the motivational teaching strategies. CONCLUSIONS: Applying the ARCS model-based motivational teaching strategies in community nursing courses is feasible and associated with improved learning motivation and outcomes among Chinese nursing undergraduates.