Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
23
datasets available to search
ShareScore release 0.9.0
Dataset results
23 results for “Sociodemographic Factors”
Loss of socioemotional and occupational roles in people with Long COVID according to sociodemographic and clinical factors: Secondary data from Randomized Clinical Trial.
<p>This is a cross-sectional study was carried out with the participation of 100 patients diagnosed with Long-COVID, over 18 years of age and attended by Primary Health Care in the Autonomous Community of Aragon. The purpose of this study is to analyse the loss of socioemotional and occupational roles that people with Long COVID have suffered in their lives as a consequence of the disease. As a secondary objective, it was proposed to analyze the sociodemographic and clinical factors associated with this loss of roles. The main study variable was the loss of significant socioemotional and occupational roles of the participants. Sociodemographic and clinical data were also collected through a structured interview.</p>
Sociodemographic and Work-Related Factors Associated with Burnout Syndrome in Healthcare Professionals
<p><span>Background: Burnout syndrome, intensified during the COVID-19 pandemic, has profoundly impacted healthcare professionals' mental health globally. This study in Peru aimed to investigate sociodemographic and work-related factors associated with burnout dimensions among healthcare workers. Methods: Employing a cross-sectional predictive design, this study encompassed 1,844 healthcare professionals across three major hospitals in Peru. A carefully selected sample of 334 participants, ranging in age from 22 to 68 years and including both genders, was studied. Data collection involved a comprehensive sociodemographic work form and the Maslach Burnout Inventory (MBI), which is recognized for its robust psychometric properties. The research included thorough psychometric, descriptive, and inferential analyses, using linear regression to test various predictive models. Results: The study found that emotional exhaustion was significantly associated with several factors, including employment status (R² = 0.010), marital status (R² = 0.003), and length of service (R² = 0.015). Depersonalization showed a significant correlation with gender (R² = 0.015) and the amount of daily patient contact. Personal accomplishment was notably influenced by gender (R² = 0.039) and length of service (R² = 0.025). Conclusions: The research identified several key factors contributing to burnout, notably being female, having a contracted employment status, shorter service duration (specifically 6 to 10 years), and engaging in 1 to 6 hours of patient contact per day. These insights are crucial for understanding burnout in healthcare settings and underscore the need for targeted interventions and support strategies for healthcare professionals.</span></p>
Tuberculosis and HIV/AIDS-attributed mortalities and associated sociodemographic factors in Papua New Guinea: Evidence from the comprehensive health and epidemiological surveillance system
<p>Tuberculosis (TB) and HIV/AIDS are public health concerns in Papua New Guinea (PNG). This study examines TB and HIV/AIDS mortalities and associated sociodemographic factors in PNG. Method: As part of a longitudinal study, verbal autopsy (VA) interviews were conducted using the WHO 2016 VA Instrument to collect data of 926 deaths occurred in the communities within the catchment areas of the Comprehensive Health and Epidemiological Surveillance System from 2018-2020. InterVA-5 cause of deaths analytic tool was used to assign specific causes of death (COD). Multinomial logistic regression analyses were conducted to identify associated sociodemographic factors, estimate odds ratios (OR), 95% confidential intervals and p-values. Result: TB and HIV/AIDS were the leading CODs from infectious diseases, attributed to 9% and 8% of the total deaths, respectively. Young adults (25-34 years) had the highest proportion of deaths from TB (20%) and the risk of dying from TB among this age group was five times more likely than those aged 75+ years (OR: 5.5 [1.4-21.7]). Urban population were 46% less likely to die from this disease compared rural ones (OR: 0.54 [0.3-1.0]). People from middle household wealth quintile were three times more likely to die from TB than those in the richest quintile (OR: 3.0 [1.3-7.4]). Young adults also had the highest proportion of deaths to HIV/AIDS (18%) and were nearly seven times more likely to die from this disease compared with those aged 75+ years (OR: 6.7 [1.7-25.4]). Males were 48% less likely to die from HIV/AIDS than females (OR: 0.52 [0.3-0.9]). The risk of dying from HIV/AIDS in urban population was 54% less likely than their rural counterparts (OR: 0.46 [0.2-0.9]). Conclusion: TB and HIV/AIDS interventions are needed to target high-risk and vulnerable populations to reduce premature mortality from these diseases in PNG.</p>
Relationship of knowledge, attitudes, and sociodemographic factors with behavior in the management of mask waste in households
<p>The file contains raw data collected cross-sectionally in DKI Jakarta Province in October-November 2022 by distributing questionaires online using the Google form platform via social media such as Line, WhatsApp, Instagram, and Twitter. The questionaire consists of four parts. The first part contains the identity of respondents, the second part contains knowledge, attitudes, and behavior of respondents concerning the masks' waste management, and the last part is how to treat used masks. </p>
Impact of Sociodemographic, Psychological, and Quality of Life Factors on Dual-Task Performance in Elderly Iraqis
ClinicalTrials.gov study NCT06476561. IPD Sharing: YES. Countries: 1. Publications: 6.
Tuberculosis and HIV/AIDS-attributed mortalities and associated sociodemographic factors in Papua New Guinea: Evidence from the comprehensive health and epidemiological surveillance system
Open the record for dataset details and reuse information.
Relationship of knowledge, attitudes, and sociodemographic factors with behavior in the management of mask waste in households
Open the record for dataset details and reuse information.
Assessing the sociodemographic factors associated with Mycobacterium tuberculosis complex infection among free-ranging long-tailed Macaques in Thailand
Open the record for dataset details and reuse information.
Data from: Disparities in influenza mortality and transmission related to sociodemographic factors within Chicago in the pandemic of 1918
Social factors have been shown to create differential burden of influenza across different geographic areas. We explored the relationship between potential aggregate-level social determinants and mortality during the 1918 influenza pandemic in Chicago using a historical dataset of 7,971 influenza and pneumonia deaths. Census tract-level social factors, including rates of illiteracy, homeownership, population, and unemployment, were assessed as predictors of pandemic mortality in Chicago. Poisson models fit with generalized estimating equations (GEEs) were used to estimate the association between social factors and the risk of influenza and pneumonia mortality. The Poisson model showed that influenza and pneumonia mortality increased, on average, by 32.2% for every 10% increase in illiteracy rate adjusted for population density, homeownership, unemployment, and age. We also found a significant association between transmissibility and population density, illiteracy, and unemployment but not homeownership. Lastly, analysis of the point locations of reported influenza and pneumonia deaths revealed fine-scale spatiotemporal clustering. This study shows that living in census tracts with higher illiteracy rates increased the risk of influenza and pneumonia mortality during the 1918 influenza pandemic in Chicago. Our observation that disparities in structural determinants of neighborhood-level health lead to disparities in influenza incidence in this pandemic suggests that disparities and their determinants should remain targets of research and control in future pandemics.
Sociodemographic Factors and Criminal Behaviour Preceding Neurodegenerative Disease - Retrospective Register Study
ClinicalTrials.gov study NCT06209515. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Disparities in influenza mortality and transmission related to sociodemographic factors within Chicago in the pandemic of 1918
Open the record for dataset details and reuse information.
Data from: Sociodemographic factors modulate the spatial response of brown bears to vacancies created by hunting
1.There is a growing recognition of the importance of indirect effects from hunting on wildlife populations, e.g., social and behavioral changes due to harvest, which occur after the initial offtake. Nonetheless, little is known about how the removal of members of a population influences the spatial configuration of the survivors. 2.We studied how surviving brown bears (Ursus arctos) used former home ranges that had belonged to casualties of the annual bear hunting season in southcentral Sweden (2007-2015). We used resource selection functions to explore the effects of the casualty's and survivor's sex, age, and their pairwise genetic relatedness, population density, and hunting intensity on survivors' spatial responses to vacated home ranges. 3.We tested the competitive release hypothesis, whereby survivors that increase their use of a killed bear's home range are presumed to have been released from intraspecific competition. We found strong support for this hypothesis, as survivors of the same sex as the casualty consistently increased their use of its vacant home range. Patterns were less pronounced or absent when the survivor and casualty were of opposite sex. 4.Genetic relatedness between the survivor and the casualty emerged as the most important factor explaining increased use of vacated male home ranges by males, with a stronger response from survivors of lower relatedness. Relatedness was also important for females, but it did not influence use following removal; female survivors used home ranges of higher related female casualties more, both before and after death. Spatial responses by survivors were further influenced by bear age, population density, and hunting intensity. 5.We have showed that survivors exhibit a spatial response to vacated home ranges caused by hunting casualties, even in non-territorial species such as the brown bear. This spatial reorganization can have unintended consequences for population dynamics and interfere with management goals. Altogether, our results underscore the need to better understand the short- and long-term indirect effects of hunting on animal social structure and their resulting distribution in space.
Dataset used in Spatio-temporal analysis of Dengue fever in Bolivia: Climatic, environmental and sociodemographic factors
<p>This is the dataset used for Spatio-temporal analysis of Dengue fever in Bolivia: Climatic, environmental and sociodemographic factors. It is entirely composed of data from public domain sources. These are:</p> <p>Niño index is from National Oceanic and Atmospheric Administration (NOAA). (2023, November 8). Oceanic Niño Index (ONI). El Niño/Southern Oscillation (ENSO). https://www.ncei.noaa.gov/access/monitoring/enso/sst</p> <p>Dengue statistics are from the Organización Panamericana de la Salud. (2023, October 23). Serotipos Dengue por año para los países y territorios de las Américas: Bolivia (2013-2023). PLISA Plataforma de Información en Salud para las Américas. https://www3.paho.org/data/index.php/es/temas/indicadores-dengue/dengue-nacional/549-dengue-serotypes-es.html</p> <p>NVDI data is from the Food and Agriculture Organisation of the United Nations. This data is licensed Creative Commons Attribution-NonCommercial-ShareAlike 4.0 and we have licensed our dataset with this licence so that we can distribute it as part of our dataset. The original URL is https://www.fao.org/giews/earthobservation/country/index.jsp?lang=en&code=BOLFAO.GRAPH_NDVI_AGRI.<br>License: CC BY-NC-SA 3.0 IGO. Extracted from: https://www.fao.org/giews/earthobservation/asis/data/country/BOL/GRAPH_NDVI_AGRI/ndvi_adm1_data.csv. Date of Access: 18-04-2024<br>The specific link to the data is https://www.fao.org/giews/earthobservation/asis/data/country/BOL/GRAPH_NDVI_AGRI/ndvi_adm1_data.csv</p> <p>Meterological data is from the Bolivian National Meteorological and Hydrological Service https://senamhi.gob.bo/index.php/inicio</p> <p> </p> <p> </p> <p> </p>
Data from: Sociodemographic factors modulate the spatial response of brown bears to vacancies created by hunting
Open the record for dataset details and reuse information.
Sociodemographic Factors and Occupational Balance
ClinicalTrials.gov study NCT04657731. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Lingual Tonsil Hypertrophy Grading and Its Relation to Sociodemographic Factors and Clinical Symptoms
ClinicalTrials.gov study NCT02926014. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Bilingual Virtually-based Intervention (PEDALL) for the Prevention of Weight Gain in Childhood ALL Patients Considering Key Genetic and Sociodemographic Risk Factors
ClinicalTrials.gov study NCT05963971. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Prospective Observational Study of the Relationship Between Sociodemographic Factors, Blood-based Biomarkers and Psychiatric Symptoms in Neurodegenerative Diseases and Mental Disorders
ClinicalTrials.gov study NCT07239843. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessment of Green Dentistry Knowledge, Attitude and Implementation and Its Association With Sociodemographic Factors Among Dental Professionals in Cairo University.
ClinicalTrials.gov study NCT06447363. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Configurations of Teaching Styles among Secondary School Teachers: The Role of Teachers' Personal and Sociodemographic Factors
Open the record for dataset details and reuse information.
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.