Yoxas/statistical_literacy huggingface dataset:
Anaemia is a common public-health problem affecting about two-thirds of pregnant women in developing countries. Spacetime cluster analysis of anemia cases is important for publichealth policymakers to design evidence-based intervention strategies. This study discovered the potential space-time clusters of anemia in pregnant women in Khyber Pakhtunkhwa Province, Pakistan, from 2014 to 2020 using space-time scan statistic (SatScan). The results show that the most likely cluster of anemia was seen in the rural areas in the eastern part of the province covering five districts from 2017 to 2019. However, three secondary clusters in the West and one in the North were still active, signifying important targets of interest for public-health interventions. The potential anemia clusters in the province's rural areas might be associated with the lack of nutritional education in women and lack of access to sufficient diet due to financial constraints.
Anaemia remains a major public health concern, particularly, in sub-Saharan Africa (SSA), where it is one of the causes of maternal death. The most common cause of maternal anaemia is iron deficiency or malnutrition. This study examined the prevalence of and risk factors for anaemia among women that participated in the Nigerian Demographic Health Survey. We used data of 14,454 women that participated in the 2018 Nigeria Demographic and Health Survey (NDHS). We extracted information such as demographic, social and housing, dietary characteristics and haemoglobin concentration. The descriptive statistic results, prevalence and 95% confidence interval (CIs) of anaemia with the selected respondents background characteristics were presented. The Poisson regression model with robust variance was used to assess the risk of anaemia among women of reproductive age. All analyses were weighted and adjusted for the complex survey design. Statistical significance was interpreted at p value < 0.05. Maternal status, body mass index, education, residence, religion, ethnicity, region and type of cooking fuel were all important determinants of anaemia. The prevalence of anaemia was high among pregnant women (61.8%; 95% CI: 58.5-65.0), adolescents (60.4%; 95% CI: 58.1-62.6), underweight women (62.6%; 95% CI: 59.5-65.5), women who had no formal education (64.1%; 95% CI: 62.2-66.0) and those who belonged to the poorest wealth quintile (65.8%; 95% CI: 63.1-68.4). Similarly, anaemia was high among women residing in rural areas (61.5%; 95% CI: 60.0-63.0), Muslims (59.9%; 95% CI: 58.1-61.6) and women with six or more children (62.1%; 95% CI: 60.0-64.1). The risk of anaemia were 2% less likely among women who took minimum adequate diet compared to those who do not. To date, this is the largest data on maternal anaemia in Nigeria. The study highlighted the high burden of maternal anaemia in the country and different risk factors (medical and social) that are associated with this medical condition among women of reproductive age. We recommend future longitudinal studies to test hypothesis in order to assess whether there is any causal relationship between identified risk factors and anaemia in this group of women.
Analysis of functional neuroimaging data aims to unveil spatial and temporal patterns of interest. Existing analysis methods fall into two categories: fully data-driven approaches and those reliant on prior information, e.g. the stimulus time course. While using the stimulus signal directly can help identify the activated brain areas, it is known that the relationship between stimuli and the brain's response exhibits nonlinear and time-varying characteristics. As such, relying completely on the stimulus signal to describe the brain's temporal response leads to a restricted interpretation of the brain function. In this paper, we present a new technique called Evoked Component Analysis (ECA), which leverages prior information up to a defined extent. This is achieved by including the general linear model (GLM) design matrix as a regulatory term and estimating the factor matrices in both space and time through an alternating minimization approach. We apply ECA to 2D and swept-3D functional ultrasound (fUS) experiments conducted with mice. When decomposing 2D fUS data, we employ GLM regularization at various intensities to emphasize the role of prior information. Furthermore, we show that incorporating multiple hemodynamic response functions within the design matrix can provide valuable insights into region-specific characteristics of evoked activity. Finally, we use ECA to analyze swept-3D fUS data recorded from five mice engaged in two distinct visual tasks. Swept-3D fUS images the 3D brain sequentially using a moving probe, resulting in different slice acquisition time instants. We show that ECA can estimate factor matrices with a fine resolution at each slice acquisition time instant and yield higher t-statistics compared to GLM and correlation analysis for all subjects.
Analysis of the concept of hypertension literacy to ensure clarity, reduce ambiguities and promote consistency in usage. Walker and Avant's concept analysis method was adopted. Searched four electronic databases using keywords combined with the appropriate Boolean operators. After removing duplicates, thirty titles were identified, and ten articles met the basic criteria for inclusion. The analysis was done using a convergent synthesis design to integrate results and transform them into qualitative descriptions. Hypertension literacy's defining attributes were hypertension information search skills, comprehension of numeracy associated with blood pressure and medication and utilization of hypertension prevention information. The identified antecedents were formal education and improved cognitive, social, economic and health-related experiences. Consequences of hypertension literacy included improved self-reported and increased health awareness. Hypertension literacy allows nurses to assess and accurately improve knowledge and facilitate people to adopt prevention behaviours.
Analytical chemistry is a fast-paced field with frequent introduction of new techniques via research labs; however, incorporation of new techniques into academic curricula lags their adoption in research and industry. This review describes the recent educational literature on microfluidics, microcontrollers, and chemometrics in the undergraduate analytical chemistry curriculum. Each section highlights opportunities for nonexpert faculty to get started with these techniques and more advanced implementations suitable for experienced practitioners. While the addition of new topics to any curriculum brings some opportunity costs, student engagement with cutting edge techniques brings many benefits, including enhanced preparation for graduate school and professional careers and development of transferable skills, such as coding. Formal assessment of student outcomes is encouraged to promote broader adoption of these techniques. Expected final online publication date for the Annual Review of Analytical Chemistry, Volume 17 is May 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
analyze the structure of teaching programs and contents of the adolescent health and its development in nursing education. descriptive observational study conducted in Colombia, Ecuador and Peru. Data was collected by the Instrument for (self-)evaluation of the adolescent health and development component in undergraduate nursing programs, and investigated using descriptive statistics. A total of 95 nursing schools participated in the study (84.1% of the total). Of the faculty responsible for teaching contents relating to adolescent health, 31.6% had no specific training on the topic and 18.9% had no educational/pedagogical training. Behavior, gender identity and sexual orientation, bullying and cyberbullying, use of digital technologies, partner violence, parenting, and pubertal delay were the main topics which could be incorporated into nursing education. the faculty of the schools analyzed have limited education in pedagogical/educational topics and specific adolescent health issues. Curricula should be updated, including knowledge of laws and policies, thus expanding nurses' ability to generate, analyze and use data for decision making. (1) 31.6% of faculty have no specific education in adolescent health. (2) 18.9% of faculty have no educational/pedagogical training. (3) Progress is needed in the use of active methodologies and interactive multimedia. (4) Knowledge of laws and policies for the adolescent population must be expanded. (5) Current and relevant adolescent health issues need to be addressed in nursing education.
Analyzing scored sleep is a fundamental prerequisite to understanding how sleep changes between health and disease. Classically, this is accomplished by manually calculating various measures (e.g., percent of non-rapid eye movement sleep) from a collection of scored sleep files. This process can be tedious and error prone especially when studies include a large number of animals or involve long recording sessions. To address this issue, we present SleepInvestigatoR, a versatile tool that can quickly organize and analyze multiple scored sleep files into a single output. The function is written in the open-source statistical language R and has a total of 25 parameters that can be set to match a wide variety of experimenter needs. SleepInvestigatoR delivers a total of 22 unique measures of sleep, including all measures commonly reported in the rodent literature. A simple plotting function is also provided to quickly graph and visualize the scored data. All code is designed to be implemented with little formal coding knowledge and step-by-step instructions are provided on the corresponding GitHub page. Overall, SleepInvestigatoR provides the sleep researcher a critical tool to increase efficiency, interpretation, and reproducibility in analyzing scored rodent sleep.
Analyzing the correlation between cephalometric measurements is important for improving our understanding of the anatomy in the oral and maxillofacial region. To minimize bias resulting from the design of the input data and to establish a reference for malocclusion research, the aims of this study were to construct the input set by integrating nine cephalometric analyses and to study the correlation structure of cephalometric variables in Korean adults with normal occlusion. To analyze the complex correlation structure among 65 cephalometric variables, which were based on nine classical cephalometric analyses, network analysis was applied to data obtained from 735 adults (368 males, 367 females) aged 18-25 years with normal occlusion. The structure was better revealed through weighted network analysis and minimum spanning tree. Network analysis revealed cephalometric variable clusters and the inter- and intra-correlation structure. Some metrics were divided based on their geometric interpretation rather than their clinical significance. It was confirmed that various classical cephalometric analyses primarily focus on investigating nine anatomical features. Investigating the correlation between cephalometric variables through network analysis can significantly enhance our understanding of the anatomical characteristics in the oral and maxillofacial region, which is a crucial step in studying malocclusion using artificial intelligence.
Anatomical variation is an inherent part of every health curriculum, due in large to the negative clinical consequences that can ensue if anatomical variation is not thoroughly understood. However, current literature fails to describe any structured whole-of-course pedagogy for the teaching of anatomical variation in higher education. This study therefore aimed to (i) propose a whole-of-course curriculum framework to guide academic development and implementation of anatomical variation resources and assessment; and (ii) assess the depth of anatomical variation knowledge in a multiyear undergraduate health-science cohort (n = 152) at the Queensland University of Technology. Current anatomical variation pedagogy, and subsequently the need for the curriculum framework, were explored using a scoping review protocol. As part of this study, anatomical variation was novelly defined as macroscopic differences in morphology (shape and size), topography (location), developmental timing, or frequency (number) of an anatomical structure between individuals that form during embryological or subadult development and result in no substantive, observable interruption to physiological function. The framework incorporated three themes of anatomical variation learning outcomes: description of anatomical variation, theories of the professional implications of variation, and investigation of variant formation. These themes were strongly aligned with the concepts recommended for teaching identified through the scoping review. Significant deficits in anatomical variation student knowledge were identified, with the third-year cohort recording a mean total score of only 54.6%. A strong recommendation to implement the anatomical variation curriculum framework in all medical and health-science curricula is made to intentionally develop student understanding of anatomical variation and improve future clinical practice.
Anatomy education is a fundamental part of clinical nursing, but anatomy courses may lead to a range of psychological changes, such as death anxiety and sense of meaning in life. Such experiences and changes may influence student's willingness to donate their body. There is insufficient evidence on whether anatomy courses bring about these changes, and the reasons behind experiences are unclear. Focusing on these changes is essential to improve anatomy education in nursing and to promote the mental health of students in the nursing field. To explore changes and underlying reasons for death anxiety, sense of meaning in life, and the willingness to donate a body before and after anatomy courses. An explanatory sequential explanatory mixed-methods study. A total of 60 students completed quantitative surveys and 16 students from the sub-samples of the quantitative stage were included in the qualitative interviews. All students were from a comprehensive university in Changsha, Hunan Province, China. Data were collected from September 2022 to April 2023, including two rounds of questionnaire surveys and one interview. The questionnaires included sociodemographic data, the Death Anxiety Scale (CT-DAS), the Meaning of Life Scale (MLQ), and a body donation willingness question. Interviews were conducted based on the research objectives. The statistical methods included descriptive statistics, z-tests, and thematic analysis. Quantitative results showed a decrease in emotional dimension of death anxiety (z = -2.534, P < 0.05) and an increase in body donation willingness (z = -3.183, P < 0.05). Qualitative analysis revealed cognitive experience and value assessment may relate to the changes. Based on the two themes, the reduction of death anxiety in emotional dimension can be further attributed to four factors: demystification, instrumentalization, desensitization, and respect and gratitude towards donors. The increase in willingness to donate bodies can be further attributed to two aspects: increase in knowledge of body donation and the affirmation of the value of donation. The study found that students experience a decrease in death anxiety in the emotional dimension and an increased inclination to donate their bodies after anatomy courses, which may be related to cognitive experience and value assessment. Future nursing anatomy education could delve deeper into these two perspectives and support students to positively cope with death anxiety and rethink body donation through enriching death education activities such as donor memorial ceremonies. These results provide a basis for designing anatomy courses and improving the psychological well-being and professional competence of nursing students.
Anatomy practical classes are an essential part of learning human anatomy. The flipped classroom teaching model has been used in medical education in recent years. However, its precise impacts on anatomical knowledge acquisition and learning outcomes remain controversial. With the development of information technology, new educational tools, such as Rain Classroom, have recently attracted much interest. The Rain Classroom is an application that can easily connect students and teachers through smartphones or computers. However, whether and how to apply it to the flipped classroom in anatomy practical classes needs to be evaluated. In this study, we designed a teaching model of flipped classroom assisted by Rain Classroom and carried it out in anatomy practical classes at our university. Results showed that the final exam scores of the experimental group were significantly improved, compared with the control group (p < 0.01); the final exam score was significantly correlated with both the pre-class quiz score (p < 0.05) and the in-class quiz score (p < 0.001). Student satisfaction was measured by a questionnaire on a Likert scale of 1-5. All the mean scores were greater than 4.5, indicating that most students had positive attitudes toward this teaching model. The present study suggests that the Rain Classroom helps support students throughout the learning processes of the flipped classroom, and the model of flipped classroom assisted by Rain Classroom could improve students' learning efficiency and ultimately increase their exam performance in anatomy practical classes.
Androgen receptor pathway inhibitors (ARPIs) are widely prescribed in metastatic castration-resistant prostate cancer (mCRPC). Real-world frequencies and potential impacts of comorbidities and concomitant medication (conmed) interactions with ARPIs are not well described. Patients receiving ARPIs for mCRPC were identified from the electronic Prostate Cancer Australian Database (ePAD). Demographics, clinicopathologic characteristics, and outcome data were extracted. Conmeds and comorbidities were collected from medical records. Potential interacting comorbidities were defined from trial and post-trial data. Clinically significant drug-drug interactions (DDIs) were identified using UpToDate Lexicomp and Stockley's databases. Patient characteristics, comorbidity interactions, DDIs, and outcomes were analyzed. Two hundred thirty-five patients received first- or second-line ARPIs for mCRPC from 2012 to 2021, with a median follow-up of 27 months. One hundred sixteen received abiraterone acetate (AAP) and 135 received enzalutamide (ENZ). The median age was 74 years, and the median number of conmeds was 4. Clinically significant DDIs occurred in 55 (47%) AAP patients and 90 (67%) ENZ patients. Only 5% of DDIs were predicted to affect ARPI pharmacokinetics (PK) or pharmacodynamics, whereas 95% were predicted to impact conmed PK or increase toxicity risk. In patients receiving ENZ, DDIs were associated with lower PSA50 (50% v 74%, P = .04) and poorer overall survival (28 v 45 months, P = .04), although statistical significance was not maintained on multivariate analysis. No significant survival differences were seen with DDIs in patients receiving AAP. Potential interactions between comorbidities and ARPI were present in 72% on AAP and 14% on ENZ with no significant associated survival differences. DDIs and drug-comorbidity interactions in real-world patients receiving ARPIs for mCRPC are common and may affect outcomes. Ongoing clinician education regarding DDIs is necessary to optimize patient outcomes.
Androgens are produced in both sexes. In females produced by the adrenal gland and the ovaries they play a crucial role in regulating ovarian function, estrogen synthesis and follicular growth. Age leads to a reduction in androgen concentrations, although, at present, these mechanisms are not elucidated in mares. The objective of this study was to evaluate the concentrations of testosterone (T), androstenedione (A4) and dehydroepiandrosterone (DHEA) in mares of different ages. Blood samples were drawn from seventy cyclic Spanish Purebred mares belonging to five age groups: 3-5 years, 6-9 years, 10-13 years, 14-16 years and > 16 years. The concentrations of T, A4 and DHEA were determined by EIA, validated specifically for horses. Mares aged 3-5, 6-9 and 10-13 years had higher T concentrations (P < 0.05) than mares aged >16 years, and mares aged 6-9 years had also higher concentrations than those 14-16 years old (P < 0.05). A4 concentrations were lower (P < 0.05) in mares >16 years old when compared with those of other age groups. DHEA concentrations were lower (P < 0.05) in mares 14-16 years and > 16 years old when compared with those of other age groups. DHEA was positively correlated with T (r = 0.61; P < 0.05) and A4 (r = 0.51; P < 0.05). Age induces reduction in androgens' synthesis in physiologically cyclic Spanish Purebred mares. These physiological variations must be duly considered for a correct and objective interpretation of the analytical data.
Anemia among women of child bearing age is a global public health problem. In developing countries such as Rwanda, women and their children may be particularly susceptible to anemia. The main objectives of this study were to assess the prevalence of anemia among women of reproductive age in Rwanda and to identify the risk factors associated therewith. The current study considered socio-economic, demographic and environmental factors and the 2014/2015 Rwanda Demographic and Health Survey data was used for this purpose. Due to the complexity of the sampling design, the present study used survey logistic model that takes account of sampling weight, stratification and clustering. The SAS statistical software was used for the analysis of the results. The anemia status was assessed among 6 680 women aged between 15 and 49 years old and the prevalence of anemia among women of this child bearing age group, was found to be 19.2%. The study also revealed that body mass index, contraceptive use, use of mosquito bed nets, marital status, wealth quintile of the household, size of the household, literacy, tobacco use, type of cooking fuel, type of toilet facilities, type of source of drinkable water, and province of residence, were all factors associated with anemia among women of reproductive age in Rwanda. Hence the current study highlights several health, geographical and socio-economic issues that can assist health care professionals and other relevant authorities in fostering an environment that reduces the risk of anemia for women and children.