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Dataset results
165 results for “Self-report”
Ambulatory Cancer Care Electronic Symptom Self-Reporting for Surgical Patients
ClinicalTrials.gov study NCT03178045. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Data for: How do we measure and increase systems thinking? Comparing self-reported and performative metrics in response to building causal loop models
Open the record for dataset details and reuse information.
Data from: Self-reported functional status predicts post-operative outcomes in non-cardiac surgery patients with pulmonary hypertension
BACKGROUND: Pulmonary hypertension (PHTN) is associated with increased post-procedure morbidity and mortality. Pre-procedure echocardiography (ECHO) is a widely used tool for evaluation of these patients, but its accuracy in predicting post-procedure outcomes is unproven. Self-reported exercise tolerance has not been evaluated for operative risk stratification of PHTN patients. OBJECTIVE: We analyzed whether self-reported exercise tolerance predicts outcomes (hospi-tal length-of-stay [LOS], mortality and morbidity) in PHTN patients (WHO Class I - V) under-going anesthesia and surgery. METHODS AND FINDINGS: We reviewed 550 non-cardiac, non-obstetric procedures per-formed on 370 PHTN patients at a single institution between 2007 and 2013. All patients had cardiac ECHO documented within 1 year prior to the procedure. Pre-procedure comorbidities and ECHO data were collected. Functional status (< or ? 4 metabolic equivalents of task [METs]) was assigned based on responses to standard patient interview questions during the pre-anesthesia clinic visit. Multiple logistic regression was used to develop a risk score model (Pul-monary Hypertension Outcome Risk Score; PHORS) and determine its value in predicting post-procedure outcomes. In an adjusted model, functional status <4 METs was independently associ-ated with a LOS >7 days (p < .003), as were higher ASA class (p < .002), open surgical approach (p < .002), procedure duration > 2 hours (p < .001), and the absence of systemic hypertension (p = .012). PHORS Score ?2 was associated with an increased 30-day major complication rate (28.7% vs. 19.2%; p < 0.001) and ICU admission rate (8.6% s 2.8%; p = .007), but no statistical difference in hospital readmissions rate (17.6% vs. 14.0%; p = .29), or mortality (3.5% vs. 1.4%; p = .75). Similar ECHO findings did not further improve outcome prediction. CONCLUSIONS: Poor functional status is associated with severe PHTN and predicts increased LOS and post-procedure complications in patients with moderate to severe pulmonary hyperten-sion with different etiologies. A risk assessment model predicts increased LOS with fair accura-cy. A thorough evaluation of underlying etiologies of PHTN should be undertaken in every pa-tient.
Twitter Self-reported Temporally-contextual Mental Health Diagnosis (Twitter-STMHD) Dataset
<p>Twitter-STMHD: An Extensive User-Level Database of Multiple Mental Health Disorders</p>
Prevalence, severity, and risk factors of disability among adults living with HIV accessing routine outpatient HIV care in London, United Kingdom (UK): A cross-sectional self-report study
<div> <p><strong>Background</strong></p> <p>The study objectives were to measure disability prevalence and severity, and examine disability risk factors, among adults living with HIV in London, United Kingdom (UK).</p> <p><strong>Methods</strong></p> <p>Self-reported questionnaires were administered: World Health Organization Disability Assessment Schedule 2.0 (WHODAS), HIV Disability Questionnaire (HDQ), Equality Act disability definition (EADD), and demographic questionnaire. We calculated proportion (95% Confidence Interval; CI) of "severe" and "moderate" disability measured using EADD and WHODAS scores ≥2 respectively. We measured disability severity with HDQ domain severity scores. We used demographic questionnaire responses to assess risk factors of "severe" and "moderate" disability using logistic regression analysis, and HDQ severity domain scores using linear regression analysis.</p> <p><strong>Results</strong></p> <p>Of 201 participants, 176 (87.6%) identified as men, median age 47 years, and 194 (96.5%) virologically suppressed. Severe disability prevalence was 39.5% (n=79/201), 95% CI [32.5%, 46.4%]. Moderate disability prevalence was 70.5% (n=141/200), 95% CI [64.2%, 76.8%]. Uncertainty was the most severe HDQ disability domain. Late HIV diagnosis was a risk factor for severe disability [Odds Ratio (OR) 2.71; CI 1.25, 5.87]. Social determinants of health, economic inactivity [OR 2.79; CI 1.08, 7.21] and receiving benefits [OR 2.87; CI 1.05, 7.83], were risk factors for "severe" disability. <span>Economic inactivity [OR 3.14; CI 1.00, 9.98] was a risk factor for </span>"moderate" disability. Economic inactivity, receiving benefits, and having no fixed abode were risk factors (P≤0.05) across HDQ domains; physical, mental and emotional, difficulty with day-to-day activities, and challenges to social participation. Personal factors, identifying as a woman and being aged <50 years, were risk factors (P≤0.05) for HDQ domains; mental and emotional, uncertainty, and challenges with social participation.</p> <p><strong>Conclusions</strong></p> <p>People living with well-controlled HIV in London UK experienced multi-dimensional and episodic disability. Results help to better understand the prevalence, severity, and risk factors of disability experienced by adults living with HIV, identify areas to target interventions, and optimise health and functioning.</p> </div>
Mediating effects of Trait Emotional Intelligence on the association between Adverse Childhood Experiences (ACEs) and Self-reported Health
<p>Data for two studies which investigate the role of trait emotional intelligence in resilience following adverse childhood experiences. </p>
Figure 1 in Self-reported headache among the employees of a Swiss university hospital: prevalence, disability, current treatment, and economic impact
Figure 1 Comparison of age (a), gender (b) and occupation (c) among the 1192 respondents and all university hospital employees (in %). (b) Comparison of gender distribution among the 1192 respondents With those of University hospital employees (in %). (c) Comparison of distribution of occupation in the sample of 1192 respondents With the distribution of occupation of the university hospital employees in total (in %).
Dataset for: Factors associated with self-reported diagnosed asthma in urban and rural Malawi: observations from a population-based study of 3 non-communicable diseases
<p>This dataset was used in analyses reported on the in paper with the same title, published in PLOS Global Health.</p>
Comparing self-report and performance measurement of wisdom in Turkish sample: Relations with self-transcendence and cognitive flexibility
<p>Data set of research named: Comparing self-report and performance measurement of wisdom in Turkish sample: Relations with self-transcendence and cognitive flexibility</p>
Genova - Self-reported wellbeing status
<p>Self-reported mental health and wellbeing status for visitors of Gavoglio Part in Genova.</p>
Internet-Based and Self-Reports in Assessing Diet and Physical Activity Within AARP
ClinicalTrials.gov study NCT03268577. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Online Emotional Response to Completing a Childhood Maltreatment Self-report Scale
ClinicalTrials.gov study NCT06152549. IPD Sharing: Not stated. Countries: 1. Publications: 21.
Development and Validation of a Self-reported Objective Index of Work Disability in Inflammatory Bowel Disease
ClinicalTrials.gov study NCT03872726. IPD Sharing: NO. Countries: 1. Publications: 7.
Effects of Yoga on Objective and Self-reported Health Indicators Among Female and Male Individuals
ClinicalTrials.gov study NCT01305096. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Self-Reported Versus Objective Measured Compliance With Oral Appliance Therapy for Obstructive Sleep Apnea Hypopnea Syndrome
ClinicalTrials.gov study NCT01284881. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Self-reported Gluten Sensitivity in High-school Students
ClinicalTrials.gov study NCT03021148. IPD Sharing: NO. Countries: 1. Publications: 9.
Skeletal Muscle Contractility, Self-reported Pain and Tissue Sensitivity in Females With Neck/Shoulder Pain and Trapezius MFTrPs
ClinicalTrials.gov study NCT01710735. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Home-based Rehabilitation Monitoring System With Wearable Devices and Self-Report Application
ClinicalTrials.gov study NCT06410755. IPD Sharing: NO. Countries: 1. Publications: 43.
An Internet Mediated Research Study to Assess the Quality of Life of Consumers With Self-reported Fungal Nail Infection (Onychomycosis) During Treatment With Scholl Fungal Nail.
ClinicalTrials.gov study NCT04084782. IPD Sharing: NO. Countries: 1. Publications: 6.
Closing the Gap Between Self-reported and Accelerometer-based Physical Activity
ClinicalTrials.gov study NCT03539237. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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.