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599 results for “health data”
Dataset for Assessing the mycotoxin-related health impact of shifting from meat-based diets to soy-based meat analogues in a model scenario based on Italian consumption data
<p>Dataset used for <strong>Assessing the mycotoxin-related health impact of shifting from meat-based diets to soy-based meat analogues in a model scenario based on Italian consumption data.</strong></p>
Data for International trade sanctions imposed due to the Russia-Ukraine war may cause unequal distribution of environmental and health impacts
<p>Data for producing the figures in the study "International trade sanctions imposed due to the Russia-Ukraine war may cause unequal distribution of environmental and health impacts".</p>
Studies analyzed in the Systematic Review - Data Science Model Canvas for Health Research
<p>Data collected from the SLR on Data Science Model canvas for health research</p>
International Symposium on Achievements, Milestones, and Challenges in Biomedical and Health Informatics data
<p><strong>International Symposium on Achievements, Milestones, and Challenges in Biomedical and Health Informatics (BMHI), held in Athens, Greece, on 29 October 2022 - fatabse with paper titles, abstratcs, keywords and sections (with sub-sections)</strong></p>
Data from: Mental health status of Sri Lanka Navy personnel three years after end of combat operations: a follow up study
The main aim of this study was to assess the mental health status of the Navy Special Forces and regular forces three and a half years after the end of combat operations in mid 2009, and compare it with the findings in 2009. This cross sectional study was carried out in the Sri Lanka Navy (SLN), three and a half years after the end of combat operations. Representative samples of SLN Special Forces and regular forces deployed in combat areas were selected using simple random sampling. Only personnel who had served continuously in combat areas during the one year period prior to the end of combat operations were included in the study. The sample consisted of 220 Special Forces and 275 regular forces personnel. Compared to regular forces a significantly higher number of Special Forces personnel had experienced potentially traumatic events. Compared to the period immediately after end of combat operations, in the Special Forces, prevalence of psychological distress and fatigue showed a marginal increase while hazardous drinking and multiple physical symptoms showed a marginal decrease. In the regular forces, the prevalence of psychological distress, fatigue and multiple somatic symptoms declined and prevalence of hazardous drinking increased from 16.5% to 25.7%. During the same period prevalence of smoking doubled in both Special Forces and regular forces. Prevalence of PTSD reduced from 1.9% in Special Forces to 0.9% and in the regular forces from 2.07% to 1.1%. Three and a half years after the end of combat operations mental health problems have declined among SLN regular forces while there was no significant change among Special Forces. Hazardous drinking among regular forces and smoking among both Special Forces and regular forces have increased.
Data from: Evaluation of the psychometric properties of the Brazilian version of the Oral Health Literacy Assessment in Spanish and development of a shortened form of the instrument
Objective: The objective of this study was to investigate the psychometric properties of the Oral Health Literacy Assessment in Spanish (OHLA-S) for the Brazilian-Portuguese language using robust analysis and with the results disclose possibilities to develop a shorter and more valid instrument. Methods: OHLA-S is an oral health literacy instrument comprising a word recognition section and a comprehension section. It consists of 24 dental words. It was translated into the Brazilian-Portuguese language (OHLA-B) and its psychometric properties were evaluated in a random sample of 250 adults aged 20–59 years. To assess the dimensionality and factor structure were tested by means of Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). Reliability was assessed using two indicators: Cronbach's alpha and McDonald's Omega. Results: EFA and CFA demonstrated that the OHLA-B with 24 items did not present an adequate adjustment of the model, compromising its validity. In addition, reliability values at 0.50 for Cronbach's alpha and 0.67 for McDonald's omega were below the minimum acceptable rate of 0.70. As no support was found for the original structure, we decided to proceed with the withdrawal of individual items and successive reanalysis of the model until the indicators were adjusted in a shorter instrument. A new structure with 15 items produced an instrument with two dimensions and a better goodness of fit than the original instrument. The Alpha and Omega reliability index values increased to 0.83 and 0.80, respectively, and all scores were better in the OLHA-B with 15 items than in the instrument with 24 items. Conclusion: OLHA-B with the original structure composed by 24 items did not show acceptable construct validity. The shorter version with 15 items showed more promising results for assessing oral health literacy levels in the Brazilian population.
Data from: Identifying patterns of non-communicable diseases in developed eastern coastal China: a longitudinal study of electronic health records from 12 public hospitals
Objective: Few studies have examined the spectrum and trends of non-communicable diseases (NCDs) in inpatients in eastern coastal China, which is transforming from an industrial economy to a service-oriented economy and is the most economically developed region in the country. This study aimed to dynamically elucidate the spectrum and characteristics of severe NCDs in eastern coastal China by analysing patients' longitudinal electronic health records (EHRs). Setting: To monitor the spectrum of NCDs dynamically, we extracted the EHR data from 12 general tertiary hospitals in eastern coastal China from 2003 to 2014. The rankings of and trends in the proportions of different NCDs presented by inpatients in different gender and age groups were calculated and analysed. Participants: We obtained a total sample of 1,907,484 inpatients with NCDs from 2003 to 2014, 50.05% of whom were male and 81.53% were aged 50 years or older. Results: There was an increase in the number of total NCD inpatients in eastern coastal China from 2003 to 2014. However, the proportion of chronic respiratory diseases and cancer inpatients decreased over the 12-year period. Compared with men, women displayed a significant increase in the proportion of mental and behavioural disorders (P<0.001) over time. Additionally, digestive diseases and sensory organ diseases significantly decreased among men, but not women. The older group accounted for a larger and growing proportion of the NCD inpatients, and the most common conditions in this group were cerebral infarctions, coronary heart disease and hypertension. In addition, the proportion of 21- to 50-year-old inpatients with diabetes, blood diseases or endocrine diseases skyrocketed from 2003 to 2014 (P<0.001). Conclusions: The burden of inpatients' NCDs increased rapidly, particularly among women and younger people. The NCD spectrum observed in eastern coastal China is a good source of evidence for developing prevention guides for regions experiencing transition.
Data from: Performance of primary care in different health care facilities: a cross sectional study of patients' experiences in Southern Malawi
Objective: In most African countries, primary care is delivered through a district health system. Many factors, including staffing levels, staff experience, availability of equipment and facility management, affect the quality of primary care between and within countries. The purpose of this study was to assess the quality of primary care in different types of public health facilities in Southern Malawi. Study design: This was a cross sectional quantitative study. Setting: The study was conducted in 12 public primary care facilities in Neno, Blantyre and Thyolo districts in July 2018. Participants: Patients aged 18 years and above, excluding the severely ill, were selected to participate in the study. Primary outcomes: We used the Malawian primary care assessment tool to conduct face-to-face interviews. ANOVA at 0.05 significance level was performed to compare primary care dimension means and total primary care scores. Linear regression models at 95% CI were used to assess associations between primary care dimension scores, patients' characteristics and healthcare setting. Results: The final number of respondents was 962 representing 96.1% response rate. Patients in Neno hospitals scored 3.77 points higher than those in Thyolo health centers, and 2.87 higher than those in Blantyre health centers in total primary care performance. Primary care performance in health centers and in hospital clinics was similar in Neno (20.9 vs 19.0, p= 0.608) while in Thyolo, it was higher at the hospital than at the health centers (19.9 vs 15.2, p<0.001). Urban and rural facilities showed a similar pattern of performance. Conclusion: These results showed considerable variation in experiences among primary care users in the public health facilities in Malawi. Factors such as funding, policy and clinic level interventions influence patients' reports of primary care performance. These factors should be further examined in longitudinal and experimental settings.
Data from: Ebola cases and health system demand in Liberia
In 2014, a major epidemic of human Ebola virus disease emerged in West Africa, where human-to-human transmission has now been sustained for greater than 12 months. In the summer of 2014, there was great uncertainty about the answers to several key policy questions concerning the path to containment. What is the relative importance of nosocomial transmission compared with community-acquired infection? How much must hospital capacity increase to provide care for the anticipated patient burden? To which interventions will Ebola transmission be most responsive? What must be done to achieve containment? In recent years, epidemic models have been used to guide public health interventions. But, model-based policy relies on high quality causal understanding of transmission, including the availability of appropriate dynamic transmission models and reliable reporting about the sequence of case incidence for model fitting, which were lacking for this epidemic. To investigate the range of potential transmission scenarios, we developed a multi-type branching process model that incorporates key heterogeneities and time-varying parameters to reflect changing human behavior and deliberate interventions in Liberia. Ensembles of this model were evaluated at a set of parameters that were both epidemiologically plausible and capable of reproducing the observed trajectory. Results of this model suggested that epidemic outcome would depend on both hospital capacity and individual behavior. Simulations suggested that if hospital capacity was not increased, then transmission might outpace the rate of isolation and the ability to provide care for the ill, infectious, and dying. Similarly, the model suggested that containment would require individuals to adopt behaviors that increase the rates of case identification and isolation and secure burial of the deceased. As of mid-October, it was unclear that this epidemic would be contained even by 99% hospitalization at the planned hospital capacity. A new version of the model, updated to reflect information collected during October and November 2014, predicts a significantly more constrained set of possible futures. This model suggests that epidemic outcome still depends very heavily on individual behavior. Particularly, if future patient hospitalization rates return to background levels (estimated to be around 70%), then transmission is predicted to remain just below the critical point around Reff = 1. At the higher hospitalization rate of 85%, this model predicts near complete elimination in March to June, 2015.
Supporting data for: Risk factors common to leading eye health conditions and major non-communicable diseases: A rapid review and commentary
<p><strong><span>Background</span></strong><span>: </span><span>To gain an understanding of the intersection of risk factors between the most prevalent eye health conditions that are associated with vision impairment and non-communicable diseases (NCDs).</span></p> <p><span><strong>Methods</strong>:</span><span> A</span><span> series of rapid reviews of reviews reporting on non-modifiable risk factors, age and sex, and modifiable risk factors, including social determinants, were conducted for five common eye health conditions that are the leading causes of vision impairment globally (refractive error including uncorrected refractive error, cataract, age-related macular degeneration (AMD), glaucoma, and diabetic retinopathy) and five prevalent NCDs (cancer, cardiovascular disease, chronic respiratory disease, dementia, and depressive disorders). </span></p> <p><span><strong>Results</strong>: </span><span>Eye health conditions and NCDs share many risk factors. Increased age was found to be the most common shared risk factor, associated with increased risks of AMD, cataract, diabetic retinopathy, glaucoma, refractive error, cancer, cardiovascular disease, chronic obstructive pulmonary disease, and dementia. Other shared risk factors included smoking, obesity, alcohol consumption (mixed results), and physical activity was protective, though limited evidence was found for eye conditions. Social determinants are well documented as risk factors for NCDs.</span></p> <p><span><strong>Conclusion</strong>:</span><span> There is substantial overlap in common established risk factors for the most frequent vision-impairing eye conditions and leading NCDs. Increasing efforts should be made to integrate preventative and risk reduction interventions to improve health, with the greatest shared benefits for initiatives that aim to reduce smoking, improve diet, and promote physical activity.</span></p>
Data from: Dental health utilization in the Republic of Palau: A survey to determine feasibility of an oral cancer screening program
<p>Cancer is the second leading cause of death in the Western Pacific region. The prevalent tradition of chewing betel nut in Palau, an island nation in this region, is a risk factor in the development of oral cancer. Oral cancer is the fifth most common cancer in Palau, and prognosis can be improved with early detection. The purpose of this study is to assess the feasibility of oral cancer screening using existing dental health infrastructure in Palau.</p> <p>A mixed methods approach was used to explore topics related to dental health and use of these resources in Palau. Quantitative measures of dental health utilization and qualitative assessment of barriers and facilitators to accessing dental care were the primary measures of this study. Knowledge, attitudes, and beliefs about betel nut use and oral cancer were secondary measures of this study. Open-ended survey questions were coded to develop emergent themes based in grounded theory. These themes are interpreted in the context of the Three Delays model.</p> <p>There was a total of 223 completed surveys. Mean age was 43.7 years, 80% identified as female, and most (94.3%) reported ever having seen a dentist in Palau. Dental care was seen as important (mean score 82.3), and 57.9% reported it was easy to see a dentist. Themes regarding barriers to dental care addressed cost and availability of dentists/appointments. Themes regarding facilitators included multilevel resources and transportation. Approximately half of respondents were current users of betel nut, and the majority of these (64.1%) were daily users. Results suggest there are facilitators in place to promote seeking and obtaining dental care, however, existing infrastructure may not support an oral cancer screening program. These data provide important areas to address that can improve access and support the implementation of oral cancer screening through existing dental care in the future.</p>
Supplementary data for paper titled "Examining the Effects of Environmental Knowledge and Health Insurance Coverage on Health Status"
<p>Codebook, raw data, Stata dataset, Stata code, Stata results</p>
Data from: Graduate health professions education programs as they choose to represent themselves: A website review
<p>Introduction: In an age of increasingly face-to-face, blended, and online Health Professions Education, students have more selections of where they will receive a degree. For an applicant, oftentimes, the first step is to learn more about a program through its website. Websites allow programs to convey their unique voice and to share their mission and values with others, such as applicants, researchers, and academics. Additionally, as the number of Health Professions Education programs rapidly grows, websites can share the priorities of these programs. </p> <p>Methods: In this study, we conducted a website review of 158 Health Professions Education websites to explore their geographical distributions, missions, educational concentrations, and various programmatic components.</p> <p>Results: We compiled this information and synthesized pertinent aspects, such as program similarities and differences, or highlighted the omission of critical data.</p> <p>Conclusion: Given that websites are often the first point of contact for prospective applicants, curious collaborators, and potential faculty, the digital image of HPE programs matters. We believe our findings demonstrate opportunities for growth within institutions and assist the field in identifying the priorities of HPE programs. As programs begin to shape their websites with more intentionality, they can reflect their relative divergence/convergence compared to other programs as they see fit and, therefore, attract individuals to best match this identity. Periodic reviews of the breadth of programs, such as those undergone here, are necessary to capture diversifying goals, and serve to help advance the field of Health Professions Education as a whole.</p>
The NO2 monitoring data for "Satellite-based long-term spatiotemporal trends in ambient NO2 concentrations and attributable health burdens in China from 2005 to 2020"
<p>The current dataset is about NO2 monitoring data used in Geohealth manuscript entitled "Satellite-based long-term spatiotemporal trends in ambient NO2 concentrations and attributable health burdens in China from 2005 to 2020". It was collected from the air quality monitoring stations administered by the China National Environmental Monitoring Center. </p>
Gym lifestyle factors and male reproductive health: a study into young adult usage and perceptions - Survey data
<p>Survey data for the manuscript Gym lifestyle factors and male reproductive health: a study into young adult usage and perceptions</p>
Data for Lessons learned during the health crisis caused by COVID-19 in the work of the nursing professional. : A systematic review
<p>Data for Lessons learned during the health crisis caused by COVID-19 in the work of the nursing professional. : A systematic review</p>
Data for: Optimizing health and nutrition status of migrant construction workers consuming multiple micronutrient fortified rice in Singapore
<p class="MsoNormal">140 Male migrant workers aged 20–51 years of either Bangladeshi or Indian ethnicity from a single dormitory in Singapore volunteered to participate in the study. In total, 133 blood samples were taken at the start of the study and were used to assess vitamin B12, hemoglobin, ferritin, folate, and zinc status; a sub-sample underwent for homocysteine testing. Anthropometric measurements and vital signs, including height, weight, and blood pressure were recorded before and after the intervention.</p>
Temporal changes of gene expression in health and mental disorders. Supporting Data
<p>This dataset provides data necessary to replicate the results of the time-perturbation analysis of gene expression in health and mental disorders. The corresponding code is available in the GitHub repository <a href="https://github.com/susieavagyan/BrainExp-TemporalDynamics">https://github.com/susieavagyan/BrainExp-TemporalDynamics</a>․</p> <p>The content of the data archive is following:</p> <ul> <li><strong>"GTEX_unzipped"</strong> folder contains GTEx single-tissue cis-eQTL dataset (v8)</li> <li><strong>"pheno"</strong> folder contains sample phenotype data for datasets used in the analysis </li> <li><strong>"scRNA-Ruzicka_data"</strong> folder contains gene signatures for neuronally associated processes and brian cell populations from Ruzicka, W. Brad, Shahin Mohammadi, Jose Davila-Velderrain, Sivan Subburaju, Daniel Reed Tso, Makayla Hourihan, and Manolis Kellis. 2020. “Single-Cell Dissection of Schizophrenia Reveals Neurodevelopmental-Synaptic Axis and Transcriptional Resilience.” MedRxiv, January, 2020.11.06.20225342. https://doi.org/10.1101/2020.11.06.20225342 paper.</li> <li><strong>"v5_results.SOM - Results"</strong> folder contains the transcriptome analysis results generated with oposSOM pipeline </li> <li><strong>"BM.table.Rdata"</strong> file contains gene symbol ENSEMBL ID conversion table required for eQTL analysis </li> <li><strong>"Brain_development_v3.Rdata"</strong> file contains combined raw gene expression data of datasets used in this analysis</li> <li><strong>"som_input_v5.Rdata"</strong> file contains batch adjusted and normalized gene expression matrix that was used as an input for oposSOM pipeline.</li> </ul>
Data for "Mental health problems of entrepreneurs during the COVID-19 health crisis: Fear, anxiety, and stress"
<p>Data for "Mental health problems of entrepreneurs during the COVID-19 health crisis: Fear, anxiety, and stress"</p>
Data underlying the publication Development and implementation of a risk assessment tool for broiler farm biosecurity and a health intervention plan in the Netherlands, Greece, and Cyprus
<p>Introduction</p> <p>Preventing pathogens from entering and spreading on farms is the first step in reducing health problems.<br> For this study a BiosEcurity Assessment Tool was developed to identify strengths and weaknesses in biosecurity on broiler farms,<br> which was used as a starting point to formulate tailor-made health plans to improve broiler health and reduce antimicrobial use.</p> <p>Measurements and data collection</p> <p>Farms were divided into 3 separate areas according to associated biosecurity risk; high disease risk external areas (red zone), medium risk service areas (orange zone),<br> and the clean and highly secure access-restricted green zone. In the Netherlands, Cyprus, and Greece, 13, 15, and 7 broiler houses were monitored for 4 production cycles (2 preintervention and 2 postintervention cycles).<br> At the start of the study the BiosEcurity Assessment Tool assessment was performed and a health plan was made in consultation with the veterinarian.<br> After the second cycle a start was made with the implementation of the health plan.</p>
ScienceDex guides
Understand access before you commit
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.