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599 results for “health data”
Data from: Association of rule of law and health outcomes: an ecological study
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Data from: Is the association between health-related quality of life and fatigue mediated by depression in patients with multiple sclerosis? A Spanish cross sectional study
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Data from: Assessment of fear, anxiety, obsession and functional impairment due to COVID-19 amongst health-care workers and trainees: a cross-sectional study in Nepal
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Data and code from: A spectral three-dimensional color space model of tree crown health
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Data from: Evaluation of a person-centered quality improvement intervention for maternal health and family planning in Kenya
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Animal disease data complementing the European Union One Health 2018 Zoonoses Report
<p>This dataset contains the mandatory annual data reported for bovine tuberculosis and for bovine and ovine and caprine brucellosis based on Directive 2003/99 that cites in Recital 7 the Council Directives 64/432/EEC and 91/68/EEC. The relevant Commission Decisions relating to the officially free (OF) MS and MS' regions and related reporting are: Decision 2003/467/EC for bovine tuberculosis and bovine brucellosis, and Decision 93/52/EC for sheep and goat brucellosis (B. melitensis).</p>
Animal population data complementing the European Union One Health 2018 Zoonoses Report
<p>This dataset includes animal population aggregated data under the framework of Directive 2003/99/EC.</p>
Code and data used in "Health co-benefits of sub-national renewable energy policy in the US"
<p>Archive of modeling, inputs, and results.</p>
Raw data related to: Molecular Mechanisms Controlling Foxp3 Expression in Health and Autoimmunity: From Epigenetic to Post-translational Regulation.
<p><strong>Abstract</strong></p> <p>The discovery of the transcription factor Forkhead box-p3 (Foxp3) has shed fundamental insights into the understanding of the molecular determinants leading to generation and maintenance of T regulatory (Treg) cells, a cell population with a key immunoregulatory role. Work over the past few years has shown that fine-tuned transcriptional and epigenetic events are required to ensure stable expression of Foxp3 in Treg cells. The equilibrium between phenotypic plasticity and stability of Treg cells is controlled at the molecular level by networks of transcription factors that bind regulatory sequences, such as enhancers and promoters, to regulate Foxp3 expression. Recent reports have suggested that specific modifications of DNA and histones are required for the establishment of the chromatin structure in conventional CD4+ T (Tconv) cells for their future differentiation into the Treg cell lineage. In this review, we discuss the molecular events that control Foxp3 gene expression and address the associated alterations observed in human diseases. Also, we explore how Foxp3 influences the gene expression programs in Treg cells and how unique properties of Treg cell subsets are defined by other transcription factors.</p> <p> </p> <p><strong>Progetto giovani ricercatori</strong>[GR-2016-02363725] dal titolo: "Immune Tolerance, Metabolism and Multiple Sclerosis: Novel Molecular Tools to Monitor Disease Pathogenesis and Progression"</p> <p> </p> <p> </p> <p> </p>
Raw data related to: "Transcriptional Regulators of T Helper 17 Cell Differentiation in Health and Autoimmune Diseases"
<p><strong>Introduction</strong></p> <p>T helper (Th) 17 cells are a subtype of CD4 T lymphocytes characterized by the expression of retinoic acid-receptor (RAR)-related orphan receptor (ROR)γt transcription factor, encoded by gene <em>Rorc</em>. These cells are implicated in the pathology of autoimmune inflammatory disorders as well as in the clearance of extracellular infections. The main function of Th17 cells is the production of cytokine called interleukin (IL)-17A.</p> <p><strong>Methods</strong></p> <p>We described the lineage defining transcription factor RORγt and other factors that regulate transcription of <em>Il17a, Rorc </em>and Th17-related genes, such as Il17f, Il21, Il23r, which may positively or negatively influence their expression.</p> <p><strong>Results</strong></p> <p>We discussed the potential new therapeutic approaches for Th17-related diseases targeting these transcription factors. The wide knowledge of transcriptional regulators of Th17 cells is crucial for the better understanding of the pathogenic role of these cells and for development of therapeutic strategies aimed at fighting Th17-related diseases.</p>
Supplementary Table 1. Characteristics of the Group 1 data journals that publish in the fields of biology, environmental science, chemistry, medicine, and health sciences
<p>Supplementary Table 1. Characteristics of the Group 1 data journals that publish in the fields of biology, environmental science, chemistry, medicine, and health sciences.</p> <p>This file is a digital supplement to William H. Walters, "Data journals: incentivizing data access and documentation within the scholarly communication system," <em>Insights: The UKSG Journal</em> 33, article 18 (June 10, 2020), 1–20, <a href="http://doi.org/10.1629/uksg.510">http://doi.org/10.1629/uksg.510</a>.</p>
Data from: Natural hazards and wildlife health: the effects of a volcanic eruption on the Andean condor
<p>Volcanic eruptions produce health changes in animals that may be associated with emitted gases and deposited ashes. We evaluated whether the Puyehue–Cordón Caulle volcanic eruption in 2011 produced health changes in the threatened Andean condor (<i>Vultur gryphus</i>) living in the area most affected by the eruption, north-western Patagonia. We studied clinical and biochemical parameters of condors examined before and after the eruption. We also examined concentrations of different metals and metalloids in the blood of individuals sampled after the eruption. The most common clinical abnormality associated with the eruptive process was irritating pharyngitis. In condors sampled after the eruption, blood concentrations of albumin, calcium, carotenoids and total proteins decreased to levels under the reference values reported for this species. We found different chemical elements in the blood of these condors after the eruption, such as arsenic and cadmium, with the potential to produce health impacts. Thus, the health of Andean condors was affected in different ways by the eruption; remaining in the affected area appears to have been costly. However, in comparison to other animal species, the health impacts were not as strong and were mainly related to food shortages due to the decrease in availability of livestock carcasses linked to the eruption. This suggests that condors dealt relatively well with this massive event. Future research is needed to evaluate if the health changes we found reduce the survival of this species, and if the cost of inhabiting volcanic areas has any ecological or evolutionary influence on the condor's life history.</p>
Research Data Management in Health and Biomedical Citizen Science: Practices and Prospects
<p><b>Background:</b> Public engagement in health and biomedical research is being influenced by the paradigm of citizen science. However, conventional health and biomedical research relies on sophisticated research data management tools and methods. Considering these, what contribution can citizen science make in this field of research? How can it follow research protocols and produce reliable results?</p> <p><b>Objective:</b> The aim of this paper is to analyse research data management practices in existing biomedical citizen science studies, so as to provide insights for members of the public and of the research community considering this approach to research.</p> <p><b>Methods:</b> A scoping review was conducted on this topic to determine data management characteristics of health and bio medical citizen science research. From this review and related web searching, we chose five online platforms and a specific research project associated with each, to understand their research data management approaches and enablers.</p> <p><b>Results:</b> Health and biomedical citizen science platforms and projects are diverse in terms of types of work with data and data management activities that in themselves may have scientific merit. However, consistent approaches in the use of research data management models or practices seem lacking, or at least are not evident.</p> <p><b>Conclusions:</b> There is potential for important data collection and analysis activities to be opaque or irreproducible in health and biomedical citizen science initiatives without the implementation of a research data management model that is transparent and accessible to team members and to external audiences. This situation might be improved with participatory development of standards that can be applied to diverse projects and platforms, across the research data life cycle.<b> </b></p>
Data from: Public health and cost consequences of time delays to thrombectomy for acute ischemic stroke
<p><b>Objective: </b>To determine public health and cost consequences of time delays to EVT for patients, healthcare systems, and society, we estimated quality-adjusted life years (QALY) of EVT-treated patients and associated costs based on times to treatment.</p> <p><b>Methods: </b>The Markov model analysis was performed from United States healthcare and societal perspectives over a lifetime horizon. Contemporary data from seven trials within the HERMES collaboration served as data source. Aside from cumulative lifetime costs, we calculated the net monetary benefit (NMB) to determine the economic value of care. We used a contemporary willingness-to-pay threshold of $100,000 per QALY for NMB calculations.</p> <p><b>Results:</b><b> </b>Every 10 minutes of earlier treatment resulted in an average gain of 39 days (95% prediction interval: 23-53 days) of disability-free life. Overall, the cumulative lifetime costs for patients with earlier or later treatment were similar. Patients with later treatment had higher morbidity-related costs yet over a shorter time span due to their shorter life expectancy, resulting in similar lifetime costs as in patients with early treatment. Regarding the economic value of care, every 10 minutes of earlier treatment increased the NMB by $10,593 (95% prediction interval: $5,549-$14,847) and by $10,915 (95% prediction interval: $5,928-$15,356) taking healthcare and societal perspectives, respectively.</p> <p><b>Conclusions: </b>Any time delay to EVT reduces QALYs and decreases the economic value of care provided by this intervention. Healthcare policies to implement efficient pre-hospital triage and accelerate in-hospital workflow are urgently needed.</p>
Data from: Anxiety and depressive symptoms are associated with poor sleep health during a period of COVID-19 induced nation-wide lockdown: a cross-sectional analysis of adults in the Middle East
<p><strong>Background</strong>: Jordan, a Middle Eastern country, declared a state of national emergency due to the novel coronavirus (COVID-19) and a strict nation-wide lockdown on March 17, 2020, banning all travel and movement around the country, potentially impacting mental health. This study sought to investigate the association between mental health (e.g., anxiety and depressive symptoms) and sleep health among a sample of Jordanians living through a state of COVID-19 induced nation-wide lockdown.</p> <p><strong>Methods</strong>: Using Facebook, participants (N=1,240) in Jordan in March 2020 were recruited and direct to a web-based survey measuring anxiety (items from GAD-7 instrument), depressive symptoms (items from DES-10), sleep health (items from the PSQI), and sociodemographic. A modified Poisson regression model with robust error variance. Adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs) were estimated to examine how anxiety and depressive symptoms may affect different dimensions of sleep health: 1) poor sleep quality, 2) short sleep duration, 3) encountering sleep problems.</p> <p><strong>Results</strong>: The majority of participants reported having experienced mild (33.8%), moderate (12.9%), or severe (6.3%) levels of anxiety during lockdown, and nearly half of respondents reported depressive symptoms during lockdown. Similarly, over 60 percent of participants reported having experienced at least one sleep problem in the last week, and nearly half reported having had short sleep duration. Importantly, Anxiety was associated with poor sleep health outcomes. For example, corresponding to the dose-response relationship between anxiety and sleep health outcomes, those reporting severe anxiety were the most likely to experience poor sleep quality (aPR =8.95; 95% CI =6.12–13.08), short sleep duration (aPR =2.23; 95% CI = 1.91–2.61), and at least one problem sleep problem (aPR = 1.73; 95% CI = 1.54–1.95). Moreover, depressive symptoms were also associated with poor sleep health outcomes. As compared to scoring in the first quartile, scoring fourth quartile was associated with poor sleep quality (aPR = 11.82; 95% CI = 6.64 – 21.04), short sleep duration (aPR = 1.87; 95% CI = 1.58–2.22), and experiencing at least one sleep problem (aPR = 1.90; 95% CI = 1.66 – 2.18).</p> <p><strong>Conclusions</strong>: Increased levels of anxiety and depressive symptoms can negatively influence sleep health among a sample of Jordanian adults living in a state of COVID-19<br> induced nation-wide lockdown.</p>
Data from: Endocrine and metabolic disorders in survivors of childhood cancers and health-related quality of life and physical activity
Context: Childhood cancer survivors experience chronic health conditions that impact health related quality of life (HRQOL) and participation in optimal physical activity. Objective: The study aimed to determine independent effects of endocrine and metabolic disorders on HRQOL and physical activity. Design, Setting, and Patients: Retrospective cohort with longitudinal follow-up of survivors of childhood cancer enrolled in the North American Childhood Cancer Survivor Study. Main Outcome Measures: Medical Outcomes Short Form-36 estimated HRQOL while participation in physical activity was dichotomized as meeting or not meeting recommendations from the Center for Disease Control and Prevention. Log binomial regression evaluated the association of each endocrine/metabolic disorder with HRQOL scales and physical activity. Results: Of 7,287 survivors, median age 32 years (18-54) at their last follow-up survey, 4,884 (67%) reported one or more endocrine/metabolic disorders. Survivors with either disorder were significantly more likely to be male, older, received radiation treatment, and experience other chronic health conditions. After controlling for covariates, survivors with any endocrine/metabolic disorder were more likely to report poor physical function risk ratio ([RR] 1.25; 95% confidence interval [CI] 1.05-1.48), increased bodily pain (RR 1.27; CI 1.12-1.44), poor general health (RR 1.49; CI 1.32-1.68) and lower vitality (RR 1.21; CI 1.09-1.34) compared to survivors without. The likelihood of meeting recommended physical activity was lower among survivors with growth disorders (RR 0.90; CI=0.83-0.97), osteoporosis (RR 0.87; CI=0.76-0.99), and overweight/obesity (RR 0.92; CI 0.88-0.96). Conclusion: Endocrine and metabolic disorders are independently associated with poor HRQOL and sub-optimal physical activity among childhood cancer survivors.
Data from: Health impact assessment of air pollution in Valladolid, Spain
Objective: to estimate the attributable and targeted avoidable deaths of outdoor air pollution by ambient PM10, PM2.5 and O3 according to specific WHO methodology. Design: health impact assessment. Setting:City of Valladolid, Spain (around 300.000 residents). Data sources: demographics; mortality; pollutant concentrations collected 1999-2008. Main outcome measures: attributable fractions (AFs); attributable and targeted avoidable deaths (ADs; TADs) per year for 1999 – 2008. Results: Higher TADs estimates (shown here) were obtained when assuming as "target" concentrations WHO Air Quality Guidelines instead of Directive 2008/50/EC. ADs are considered relative to pollutant background levels. All-causemortality associated to PM10 (all ages): 52 ADs (95% CI: 39-64); 31 TADs (95% CI: 24 – 39). All-causemortality associated to PM10 (<5 years): 0 ADs (95% CI: 0-1); 0 TADs (95% CI: 0 –1). All-causemortality associated to PM2.5 (> 30 years): 326 ADs (95% CI: 217-422); 231 TADs (95% CI: 153 - 301). Cardiopulmonary and lung cancer mortality associated to PM2.5 (>30 years): o Cardiopulmonary: 186 ADs (95% CI: 74-280) ; 94 TADs (95% CI: 36 – 148). o Lung cancer : 51 ADs (95% CI: 21-73); 27 TADs (95% CI: 10 – 41). All-cause, respiratory and cardiovascular mortality associated to O3(all ages): o All-cause: 52ADs (95% CI: 25-77) ; 31 TADs (95% CI: 15 – 45). o Respiratory : 5 ADs (95% CI : -2 – 13) ; 3 TADs (95%% CI : -1 – 8). o Cardiovascular: 30 ADs (95% CI: 8-51) ; 17 TADs (95% CI: 5 – 30). Negative estimates which should be read as zero were obtained when pollutant concentrations were below counterfactuals or assumed risk coefficients were below 1. Conclusions: Our estimates suggest a not negligible negative impact on mortality of outdoor air pollution. The implementation of WHO methodology provides critical information to distinguish an improvement range in air pollution control.
Data from: The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement: methods for arriving at consensus and developing reporting guidelines
Objective: Routinely collected health data, collected for administrative and clinical purposes, without specific a priori research questions, are increasingly used for observational, comparative effectiveness, health services research, and clinical trials. The rapid evolution and availability of routinely collected data for research has brought to light specific issues not addressed by existing reporting guidelines. The aim of the present project was to determine the priorities of stakeholders in order to guide the development of the REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement. Methods: Two modified electronic Delphi surveys were sent to stakeholders. The first determined themes deemed important to include in the RECORD statement, and was analyzed using qualitative methods. The second determined quantitative prioritization of the themes based on categorization of manuscript headings. The surveys were followed by a meeting of RECORD working committee, and re-engagement with stakeholders via an online commentary period. Results: The qualitative survey (76 responses of 123 surveys sent) generated 10 overarching themes and 13 themes derived from existing STROBE categories. Highest-rated overall items for inclusion were: Disease/exposure identification algorithms; Characteristics of the population included in databases; and Characteristics of the data. In the quantitative survey (71 responses of 135 sent), the importance assigned to each of the compiled themes varied depending on the manuscript section to which they were assigned. Following the working committee meeting, online ranking by stakeholders provided feedback and resulted in revision of the final checklist. Conclusions: The RECORD statement incorporated the suggestions provided by a large, diverse group of stakeholders to create a reporting checklist specific to observational research using routinely collected health data. Our findings point to unique aspects of studies conducted with routinely collected health data and the perceived need for better reporting of methodological issues.
Data from: A strengths-based data capture model: mining data-driven and person-centered health assets
With health care policy directives advancing value-based care, risk assessments and management have permeated health care discourse. The conventional problem-based infrastructure defines what data are employed to build this discourse and how it unfolds. Such a health care model tends to bias data for risk assessment and risk management toward problems and does not capture data about health assets or strengths. The purpose of this article is to explore and illustrate the incorporation of a strengths-based data capture model into risk assessment and management by harnessing data-driven and person-centered health assets using the Omaha System. This strengths-based data capture model encourages and enables use of whole-person data including strengths at the individual level and, in aggregate, at the population level. When aggregated, such data may be used for the development of strengths-based population health metrics that will promote evaluation of data-driven and person-centered care, outcomes, and value.
Data from: Leptin regulation of hippocampal synaptic function in health and disease
The endocrine hormone leptin plays a key role in regulating food intake and body weight via its actions in the hypothalamus. However, leptin receptors are highly expressed in many extra-hypothalamic brain regions and evidence is growing that leptin influences many central processes including cognition. Indeed, recent studies indicate that leptin is a potential cognitive enhancer as it markedly facilitates the cellular events underlying hippocampal-dependent learning and memory, including effects on glutamate receptor trafficking, neuronal morphology and activity-dependent synaptic plasticity. However, the ability of leptin to regulate hippocampal synaptic function markedly declines with age and aberrant leptin function has been linked to neurodegenerative disorders such as Alzheimer's disease (AD). Here, we review the evidence supporting a cognitive enhancing role for the hormone leptin and discuss the therapeutic potential of using leptin-based agents to treat AD.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.