Yoxas/statistical_literacy huggingface dataset:
Near-infrared spectroscopy (NIRS) measurement is a widely used technique to measure muscle oxygenation. A knowledge of the reproducibility of NIRS measurements is essential for the correct interpretation of data. Our aim was to test the reproducibility and sex differences of NIRS measurements during brachial artery occlusion in healthy participants. An NIRS device was used to measure muscle oxygenation and microvascular function during a 5 min brachial occlusion. Muscle oxygen consumption (mVO2) and tissue saturation index (TSI%) were used. The occlusion test was performed three times on separate days for males (n = 13, 28 ± 8 years) and females (n = 13, 29 ± 7 years). During the occlusion phase, the reproducibility of mVO2 was excellent (intraclass correlation; ICC = 0.90). During the reperfusion phase, the maximal change in TSI% revealed the best reproducibility (ICC = 0.77). There were no sex differences in reproducibility. Male participants had higher muscle oxygenation during occlusion (mVO2, 0.054 ± 0.010 vs. 0.038 ± 0.012 mLO2/min/100 g, p = 0.001, male and female, respectively). There were no sex differences during the reperfusion phase. The reproducibility of NIRS to measure muscle oxygenation and microvascular function during circulation occlusion and reperfusion is good to excellent. Muscle oxygen capacity measured during occlusion is higher in males compared to females, and there are no sex differences in microvascular function during the reperfusion phase.
Nearly four decades have passed since a link was first established between alcohol consumption during pregnancy and a particular pattern of birth defects. Since then, autopsy, longitudinal, structural imaging, and functional imaging studies have revealed a great deal about the teratogenic effects of alcohol. This paper provides a comprehensive summary of the findings from the neurocognitive and behavioral literature on fetal alcohol spectrum disorder (FASD) and outlines the unique profile of cognitive deficits associated with it. We describe diagnostic issues as well as factors contributing to the heterogeneity of the FASD cognitive presentation. Next, we review research on the impact of prenatal alcohol exposure on intellectual functioning, attention, executive functioning, learning and memory, language, quantitative reasoning, and social cognition. In our opinion, future research can now begin to focus on FASD-specific interventions directly informed by the rich body of neurocognitive findings accumulated thus far. WIREs Cogn Sci 2013, 4:81-92. doi: 10.1002/wcs.1202 For further resources related to this article, please visit the WIREs website.
Nearly one in three US adolescents meet the criteria for anxiety, an issue that has worsened with the COVID-19 pandemic. We developed a video-based slow diaphragmatic breathing stress-reduction curriculum for high school students and evaluated its feasibility, tolerability, and preliminary effectiveness. This cluster-randomized feasibility pilot compared 5-min slow diaphragmatic breathing for 5 weeks with treatment-as-usual control among four 12th-grade public high school classes. Students individually participated after school during COVID-19-related hybrid teaching, with slow diaphragmatic breathing three times/week and breath science education once/week. Feasibility was based on completion of breathing exercises, breath science education, and preliminary effectiveness assessments, and ease/tolerability was based on qualitative assessments. Preliminary effectiveness was measured with the State-Trait Anxiety Inventory (STAI) and a timed-exhale carbon dioxide tolerance test (CO2TT) of physiological stress response. Descriptive statistics and repeated analysis of variance were performed to quantify and compare outcomes between time periods. Human subjects research approval was granted through Western IRB-Copernicus Group (WCG IRB) [ClinicalTrials.gov, Identifier: NCT05266833.]. Forty-three students consented to participate. Breath practice compliance ranged from 29 to 83% across classes and weeks, and decreased on average over the 5 weeks. Compliance with the breath science videos ranged from 43 to 86%, and that with the weekly STAI-State and CO2TT measures varied from 36 to 86%. Compliance with ease/tolerability assessments ranged from 0 to 60%. Preliminary effectiveness assessments' compliance varied across classes from 83 to 89% during baseline, and 29 to 72% at follow-up. The curriculum was rated as somewhat-to-definitely useful/beneficial, and definitely-to-very easy/tolerable. Students reported enjoying the diaphragmatic breathing, CO2TT, and breath science education; some found the extended exhales challenging and the curriculum and assessments time-consuming. Preliminary effectiveness analyses indicated no significant changes in STAI or CO2TT from baseline to followup or from before to after breathing exercises (p > 0.05 for all). Implementation of this 5-week slow breathing curriculum was feasible and tolerable to this cohort. Compliance, tolerability, and effectiveness may be improved with in-class participation. Future research on simple and accessible slow-breathing exercises is warranted to address today's adolescent stress-management crisis. ClinicalTrials.gov, Identifier: NCT05266833.
Negative perceptions of antiretroviral treatment (ART)'s efficacy and consequences may operate as roadblocks to adherence. This research aimed to determine the association between belief in medicine and adherence to antiretroviral therapy among HIV adults on ART in Ahmadu Bello University Teaching Hospital, Zaria, Kaduna State, Nigeria. Using a cross-sectional design, a systematic random sampling method was used to select respondents aged 18-64 years on antiretroviral therapy for at least six months at Ahmadu Bello University Teaching Hospital, outpatients of the President's Emergency Plan for AIDS Relief Clinic. Socio-demographics, belief in medicine and adherence to ART were obtained using a self-administered questionnaire. Descriptive statistics, chi-square test, and multiple logistic regression were used for data analysis. Among the 385 people who took part in the study, about 67.5% were females and 32.5% were males. About 54% of adults adhered to ART. More than half (55.8%) of the respondents had negative perceptions (beliefs) of personal need for ART medication and about 42.3% of the respondents had more concerns about the potential negative effects of the ART medication. Government employment (odds ratio (OR) = 2.842, p = <0.01), self-employment (OR = 2.6, p = <0.001), and being divorced or widowed (OR = 2.0, p = <0.01), negative perceptions (beliefs) of personal need for the ART medication (adjusted OR (AOR) = 1.525, p=<0.01) and more concerns about the potential negative effects of the ART medication (AOR= 1.362, p = <0.05) were all significantly associated with ART adherence. Employment, marital status and belief in medicine were associated with adherence to ART. Therefore, during adherence counseling, healthcare personnel should address respondents' false views and fears regarding ART medication in order to strengthen proper information and the benefits of ART. This article was previously presented as a meeting poster at the 36th Scientific Conference of the Nutrition Society of Malaysia (7th and 8th September 2021).
Neglected tropical diseases, especially those caused by helminths, constitute some of the most common infections of the world's poorest people. Amongst these, schistosomiasis (bilharzia or 'snail fever'), caused by blood flukes of the genus Schistosoma, ranks second only to malaria in terms of human impact: two hundred million people are infected and close to 800 million are at risk of infection. Drug screening against helminths poses unique challenges: the parasite cannot be cloned and is difficult to target using gene knockouts or RNAi. Consequently, both lead identification and validation involve phenotypic screening, where parasites are exposed to compounds whose effects are determined through the analysis of the ensuing phenotypic responses. The efficacy of leads thus identified derives from one or more or even unknown molecular mechanisms of action. The two most immediate and significant challenges that confront the state-of-the-art in this area are: the development of automated and quantitative phenotypic screening techniques and the mapping and quantitative characterization of the totality of phenotypic responses of the parasite. In this paper, we investigate and propose solutions for the latter problem in terms of the following: (1) mathematical formulation and algorithms that allow rigorous representation of the phenotypic response space of the parasite, (2) application of graph-theoretic and network analysis techniques for quantitative modeling and characterization of the phenotypic space, and (3) application of the aforementioned methodology to analyze the phenotypic space of S. mansoni - one of the etiological agents of schistosomiasis, induced by compounds that target its polo-like kinase 1 (PLK 1) gene - a recently validated drug target. In our approach, first, bio-image analysis algorithms are used to quantify the phenotypic responses of different drugs. Next, these responses are linearly mapped into a low- dimensional space using Principle Component Analysis (PCA). The phenotype space is modeled using neighborhood graphs which are used to represent the similarity amongst the phenotypes. These graphs are characterized and explored using network analysis algorithms. We present a number of results related to both the nature of the phenotypic space of the S. mansoni parasite as well as algorithmic issues encountered in constructing and analyzing the phenotypic-response space. In particular, the phenotype distribution of the parasite was found to have a distinct shape and topology. We have also quantitatively characterized the phenotypic space by varying critical model parameters. Finally, these maps of the phenotype space allows visualization and reasoning about complex relationships between putative drugs and their system-wide effects and can serve as a highly efficient paradigm for assimilating and unifying information from phenotypic screens both during lead identification and lead optimization.
Neonatal mortality in India has fallen steadily and was estimated to be 24 per 1000 live births in the year 2017. However, neonatal mortality remains high in rural parts of the country. The Community Health Promotion and Medical Provision and Impact On Neonates (CHAMPION2) trial investigates the effect of a complex health intervention on neonatal mortality in the Satna District of Madhya Pradesh. The CHAMPION2 trial forms one part of a cluster-randomised controlled trial with villages (clusters) randomised to receive either a health (CHAMPION2) or education (STRIPES2) intervention. Villages receiving the health intervention are controls for the education intervention and vice versa. The primary outcome is neonatal mortality. The effect of the active intervention on the primary outcome (compared to usual care) will be expressed as a risk ratio, estimated using a generalised estimating equation approach with robust standard errors that take account of clustering at village level. Secondary outcomes include maternal mortality, stillbirths, perinatal deaths, causes of death, health care and knowledge, hospital admissions of enrolled women during pregnancy or in the immediate post-natal care period or of their babies (during the neonatal period), maternal blood transfusions, and the cost effectiveness of the intervention. A total of 196 villages have been randomised and over 34,000 women have been recruited in CHAMPION2. This update to the published trial protocol gives a detailed plan for the statistical analysis of the CHAMPION2 trial. Registry of India: CTRI/2019/05/019296. Registered on 23 May 2019. https://ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=MzExOTg=&Enc=&userName=champion2.
Neonatal sepsis is a major public health problem worldwide. It is one of the leading causes of neonatal mortality and morbidity worldwide. The neonatal mortality rate is higher in developing countries, where the extent and causes of neonatal sepsis are not yet known. Neonatal sepsis is a leading cause of neonatal mortality in Ethiopia. As a result, this study aimed to assess the proportion and identify maternal and neonatal risk factors for neonatal sepsis among neonates admitted to the neonatal intensive care unit. An institutional-based cross-sectional study was conducted from May 2022 to July 2022 at the Wachemo University Comprehensive Specialized Teaching Hospital, Neonatal Intensive Care Unit, southern Ethiopia. A total of 205 neonates with indexed mothers participated in the study. Using a consecutive sampling technique, a structured, pretested questionnaire was used to collect data from the study subjects. Data were entered into EpiData Manager version 3.1 for Windows and then exported to SPSS version 22 for further data cleaning and analysis. Descriptive analyses were performed by using frequency, percentage, and summary statistics to describe the key variables. A multivariate regression model was used to identify factors associated with neonatal sepsis. Finally, statistical significance was declared at a p-value of less than 0.05, and an adjusted odds ratio (AOR) with a 95% confidence level was used to declare the variable's association with the outcome variable. The overall prevalence rate of neonatal sepsis was 39.5% (95% CI: 33.7-45.9). Multivariable analysis was performed by taking a variable that is statistically significant in bivariate logistic regression as a candidate variable. Multivariable model analysis showed that unmarried status AOR = 18.37 (95% CI: 1.56-216.14), maternal fever during delivery AOR = 4.74 (95% CI: 1.63-13.8), and premature rupture of membrane AOR = 7.53 (95% CI: 2.19-25.6) were variables that increased the odds of developing neonatal sepsis. The study's findings indicate that neonatal sepsis is highly prevalent. Unmarried maternal status, maternal fever during delivery, and premature rupture of the membrane were predictors of neonatal sepsis. Therefore, providing training for health workers and close monitoring and evaluation during obstetric and neonatal care are crucial to halt the occurrence of neonatal sepsis.
Neonatal Sepsis remains a significant burden globally, accounting for over 2.5 million neonatal deaths annually, with low-and middle-income countries (LMIC) including Ghana disproportionately affected. The current study sought to ascertain the prevalence of neonatal sepsis and associated factors based on analysis of institutional records from Cape Coast Teaching Hospital (CCTH) in Ghana. The study involved a retrospective cross-sectional review of randomly sampled medical records of 360 neonates CCTH from January 2018 to December 2021. Descriptive proportions and binary logistic regression analysis were conducted to estimate the prevalence of neonates with sepsis and associated factors. The prevalence of neonates with sepsis over the period was estimated to be 59%, with early-onset neonatal sepsis (EONS) and late-onset neonatal sepsis (LONS) accounting for about 29% and 30%, respectively. Neonatal factors associated with sepsis were low Apgar score (AOR = 1.64; 95% CI:1.01-2.67, p = 0.047) and low birth weight (AOR = 2.54; 95% CI:1.06-6.09, p = 0.037), while maternal factors were maternal education (AOR = 2.65; 95% CI:1.04-6.7, p = 0.040), caesarean deliveries (AOR = 0.45; 95% CI:0.26-0.75, p = 0.003), maternal infection (AOR = 1.79; 95% CI:1.09-2.94, p = 0.020) and foul-smelling liquor (AOR = 1.84; 95% CI:1.09-3.07, p = 0.020). The study underscores the need for improved routine care and assessment of newborns to prevent the onset of neonatal sepsis, with particular emphasis on the neonatal and maternal risk factors highlighted in the current study.
Neonates are at risk of nosocomial tuberculosis (TB) infection from health care workers (HCWs) in neonatal care facilities, which can progress to severe TB diseases. Tuberculin skin test (TST) is commonly used for TB diagnosis, but its accuracy in neonates is influenced by various factors, including bacilli Calmette-Guérin (BCG) vaccination. This study aimed to identify predictors of positive TSTs in neonates exposed to HCWs with pulmonary TB. A retrospective observational study was conducted to compare the frequency of predictors between TST-positive and TST-negative neonates. Demographic, epidemiological, and clinical data of neonates exposed to TB, along with that of HCW and household contacts, were collected retrospectively through contact investigations with the Korean National TB Surveillance System (KNTSS) database. TSTs using 2 tuberculin units of purified protein derivative RT23 were performed on exposed neonates at the end of preventive TB treatment. Firth logistic regression was performed to identify predictors of TST positivity. Contact investigations revealed that 152 neonates and 54 HCWs were exposed to infectious TB index cases in 3 neonatal care facilities. Of 152 exposed neonates, 8 (5.3%) had positive TST results. Age of 6 days or more at the initial exposure is a statistically significant predictor of positive TST (Firth coefficient 2.1, 95% confidence interval 0.3-3.9, P = 0.024); BCG vaccination showed no statistical significance in both univariable and multivariable analysis. Sex, prematurity, exposure duration, duration from initial exposure to contact investigation, and isoniazid preventive treatment duration were not significant predictors. Age at the initial exposure is a significant predictor of positive TST in neonates exposed to active pulmonary TB. Given the complexities of TST interpretation, including false positives due to BCG vaccination, careful risk assessment is necessary for appropriate decision-making and resource allocation in the management of neonatal TB exposure.
Neoplasm is an umbrella term used to describe either benign or malignant conditions. The correlations between socioeconomic and environmental factors and the occurrence of new-onset of neoplasms have already been demonstrated in a body of research. Nevertheless, few studies have specifically dealt with the nature of relationship, significance of risk factors, and geographic variation of them, particularly in low- and middle-income communities. This study, thus, set out to (1) analyze spatiotemporal variations of the age-adjusted incidence rate (AAIR) of neoplasms in Iran throughout five time periods, (2) investigate relationships between a collection of environmental and socioeconomic indicators and the AAIR of neoplasms all over the country, and (3) evaluate geographical alterations in their relative importance. Our cross-sectional study design was based on county-level data from 2010 to 2020. AAIR of neoplasms data was acquired from the Institute for Health Metrics and Evaluation (IHME). HotSpot analyses and Anselin Local Moran's I indices were deployed to precisely identify AAIR of neoplasms high- and low-risk clusters. Multi-scale geographically weight regression (MGWR) analysis was worked out to evaluate the association between each explanatory variable and the AAIR of neoplasms. Utilizing random forests (RF), we also examined the relationships between environmental (e.g., UV index and PM2.5 concentration) and socioeconomic (e.g., Gini coefficient and literacy rate) factors and AAIR of neoplasms. AAIR of neoplasms displayed a significant increasing trend over the study period. According to the MGWR, the only factor that significantly varied spatially and was associated with the AAIR of neoplasms in Iran was the UV index. A good accuracy RF model was confirmed for both training and testing data with correlation coefficients R2 greater than 0.91 and 0.92, respectively. UV index and Gini coefficient ranked the highest variables in the prediction of AAIR of neoplasms, based on the relative influence of each variable. More research using machine learning approaches taking the advantages of considering all possible determinants is required to assess health strategies outcomes and properly formulate policy planning.
Neovascular age-related macular degeneration (nAMD) management is one of the largest single-disease contributors to hospital outpatient appointments. Partial automation of nAMD treatment decisions could reduce demands on clinician time. Established artificial intelligence (AI)-enabled retinal imaging analysis tools, could be applied to this use-case, but are not yet validated for it. A primary qualitative investigation of stakeholder perceptions of such an AI-enabled decision tool is also absent. This multi-methods study aims to establish the safety and efficacy of an AI-enabled decision tool for nAMD treatment decisions and understand where on the clinical pathway it could sit and what factors are likely to influence its implementation. Single-centre retrospective imaging and clinical data will be collected from nAMD clinic visits at a National Health Service (NHS) teaching hospital ophthalmology service, including judgements of nAMD disease stability or activity made in real-world consultant-led-care. Dataset size will be set by a power calculation using the first 127 randomly sampled eligible clinic visits. An AI-enabled retinal segmentation tool and a rule-based decision tree will independently analyse imaging data to report nAMD stability or activity for each of these clinic visits. Independently, an external reading centre will receive both clinical and imaging data to generate an enhanced reference standard for each clinic visit. The non-inferiority of the relative negative predictive value of AI-enabled reports on disease activity relative to consultant-led-care judgements will then be tested. In parallel, approximately 40 semi-structured interviews will be conducted with key nAMD service stakeholders, including patients. Transcripts will be coded using a theoretical framework and thematic analysis will follow. NHS Research Ethics Committee and UK Health Research Authority approvals are in place (21/NW/0138). Informed consent is planned for interview participants only. Written and oral dissemination is planned to public, clinical, academic and commercial stakeholders.
Nepal is one of the high prevalent countries for tobacco use in Southeast Asia regions. Tobacco related cancer share the major burden since a decade, however, population-based estimates is still lacking. This study provides results from population-based cancer registries on tobacco-related cancer (TRCs) burden in Nepal. The data were collected by population-based cancer registry conducted in nine districts by Nepal Health Research Council. The districts were categorized in urban, semi-urban and rural regions on the basis of geographical locations and facilities available in the regions. Analysis was done to identify tobacco-associated cancer incidence, mortality and patterns along with cumulative risk of having cancer before the age of 75 years. Tobacco-related cancer was 35.3% in men and 17.3% in women. We found that every one in 36 men and one in 65 women developed tobacco-related cancer before age 75 in Nepal. Cancer of lung, mouth, esophagus and larynx were among the five most common tobacco-related cancers in both men and women. The incidence of tobacco-associated cancers was higher in urban region with age adjusted rate 33.6 and 17.0 per 100,000 population for men and women respectively compared to semi-urban and rural regions. Tobacco-associated cancer mortality was significantly higher compared to incidence. The prevalence of tobacco-related cancer found high in Nepal despite of enforcement of tobacco control policy and strategies including WHO framework convention on tobacco control. Concerned authorities should focus towards monitoring of implemented tobacco control policy and strategies.