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214 results for “mental disorders”
Data for manuscript Marmet, Studer, Lemoine, Grazioli, Bertholet & Gmel (2019). Reconsidering the associations between self-reported alcohol use disorder and mental health problems in the light of co-occurring addictions in young Swiss men. Plos One. DOI: 10.1371/journal.pone.0222806.
<p>Dataset for the manuscript Marmet, Studer, Lemoine, Grazioli, Bertholet & Gmel (2019). Reconsidering the associations between self-reported alcohol use disorder and mental health problems in the light of co-occurring addictions in young Swiss men. Plos One. DOI: 10.1371/journal.pone.0222806.</p> <p>The dataset contains all data needed to reproduce the results in the above cited manuscript. Variable description and labels can be found in the codebook. For further information on the instruments used please refer to the manuscript.</p> <p>The data was collected between April 2016 and March 2018 in Switzerland by the C-SURF study (<a href="http://www.c-surf.ch">www.c-surf.ch</a>). Participants were on average 25 years old when they answered the questionnaires. The final sample size used in the manuscript is 5516. Please note that the dataset contains 25 datasets created with multiple imputation, therefore there are no missing values in the dataset.</p> <p>The research protocol for this study was approved by the Human Research Ethics Committee of the Canton Vaud (Protocol No. 15/07). Data collection was funded by the Swiss National Science Foundation (FN 33CSC0-122679, FN 33CS30_139467, FN 33CS30_148493)</p>
Implications of Socio-Economic Conditions on Common Mental Disorders: A Case-study of Salt Pan Workers in Marakkanam Block of Tamil Nadu
<p>Socio-economic indicators of Saltpan workers in Marakaanam, Tamil Nadu, India and their SRQ-20 scoring.</p><p>Data regarding; Consumption, Wages, Debt, Social Group, Gender, Age, Ration Card, Education, Distance from work(saltpan), ownership of house and the SRQ-20 Questionanaire used for Screening of CMDs and Distress levels </p>
European Study on Risk Factors for Violence in Mental Disorder and Forensic Care: a multicentre project. The EU-Viormed Dataset
<p>The aims of this project, through a series of interlinked work packages, designed by researchers and practicing clinicians, and lead by an experienced management team, is to explore and map these differences, test new risk assessment tools and identify and share best practice where it exists. It aims are fourfold. Firstly to describe forensic psychiatry services as they exist today in 2017 across the European Union. Secondly to identify risk factors for violence in a unique international forensic sample and thirdly to test for the very first time in a related EU sample two contrasting methods of violence risk assessment. Finally it explored what works for these often marginalised patients, their families and their carers, at an operational, clinical and ethical level.<br> These aims were achieved through two studies designs:<br> Study 1: case-control retrospective design in which forensic patients with Schizophrenia<br> Spectrum Disorders (SSDs) who have a history of interpersonal violence and live in forensic<br> units will be compared to non-violent patients with SSDs living in the community.<br> Study 2: prospective cohort study, with 6 and 12 month follow-up, to test the predictive validity<br> of the leading structured professional clinical judgement guide for violence prediction, the<br> HCR-20v3, the Forensic Psychiatry and Violence Tool (FoVOx) and the Mental Illness and<br> Suicide Tool (OXMIS, https://oxrisk.com/)</p>
Normalized and batch-corrected concentration of 43 immune markers from 248 subjects with stress-related mental disorders and 36 healthy controls
<h1>Abstract</h1> <p>In a subset of patients with mental disorders, such as depression, low-grade inflammation and altered immune marker concentrations are observed. However, these immune alterations are often assessed by only one data type and small markers panels. Here, we used a transdiagnostic approach and combined data from two cohorts to define subgroups of depression symptoms across the diagnostic spectrum through a large-scale multi-omics clustering approach in 237 individuals. The method incorporated age, body mass index (BMI), 43 plasma immune markers and RNA-seq data from peripheral mononuclear blood cells (PBMCs). Our initial clustering revealed four clusters, including two immune-related depression symptom clusters characterized by elevated BMI, higher depression severity and elevated levels of immune markers such as interleukin-1 receptor antagonist (IL-1RA), C-reactive protein (CRP) and C-C motif chemokine 2 (CCL2 or MCP-1). In contrast, the RNA-seq data mostly differentiated a cluster with low depression severity, enriched in brain related gene sets. This cluster was also distinguished by electrocardiography data, while structural imaging data revealed differences in ventricle volumes across the clusters. Incorporating predicted cell type proportions into the clustering resulted in three clusters, with one showing elevated immune marker concentrations. The cell type proportion and genes related to cell types were most pronounced in an intermediate depression symptoms cluster, suggesting that RNA-seq and immune markers measure different aspects of immune dysregulation. Lastly, we found a dysregulation of the SERPINF1/VEGF-A pathway that was specific to dendritic cells by integrating immune marker and RNA-seq data. This shows the advantages of combining different data modalities and highlights possible markers for further stratification research of depression symptoms.</p> <h1>Methods</h1> <p>The normalized and batch-corrected concentration of 43 immune markers from 237 subjects with stress-related mental disorders and 36 healthy controls was determined in plasma. This data was used in the initial analysis. Additionally, the same measurements are provided for 11 subjects with stress-related mental disorders used in a replication analysis.</p> <p>- blood was collected in the morning under fasted conditions and plasma stored at -80°C until further processing<br>- samples were randomized into 96 well plates<br>- immune marker concentration was measured with the Meso Scale Diagnostics V-PLEX Human Biomarker 54-Plex Kit and the MESO QuickPlex SQ 120 imager according to the manufacturer's instructions<br>- additionally, high-sensitivity C-reactive protein (Tecan Group Ltd.), cortisol (Tecan Group Ltd.), interleukin (IL)-6 (Thermo Fisher Scientific), IL-6 soluble receptor (Thermo Fisher Scientific) and IL-13 (Thermo Fisher Scientific) was measured via ELISA according to the manufacturer's instructions<br>- values below the detection limit in markers measured with ELISA were set to zero and values above the detection limit to the upper limit<br>- the data was quantile-normalized (values were ranked and mapped to the quantiles of a standard normal distribution)<br>- the normalized concentration was corrected for the biobank storage position (batch_variable) via a linear model and the residuals reported as the concentration</p> <p>The following markers were measured:<br>fibroblast growth factor 2 (FGF2 or bFGF), cortisol, C-C motif chemokine 11 (CCL11 or eotaxin), CCL26 (eotaxin-3), vascular endothelial growth factor receptor 1 (VEGFR1 or Flt-1), hsCRP, intercellular adhesion molecule (ICAM)-1, interferon (IFN)-gamma, IL-1alpha, IL-1 receptor antagonist (IL-1RA), IL-10, IL-12/IL-23p40, IL-12p70, IL-13, IL-15, IL-16, IL-17A, IL-17B, IL-2, IL-27, IL-31, IL-5, IL-6 high sensitivity (IL-6HS), IL-7, IL-8HS, C-X-C motif chemokine 10 (CXCL10 or IP-10), CCL2 (MCP-1), CCL13 (MCP-4), CCL22 (MDC), CCL3 (MIP-1alpha), CCL4 (MIP-1beta), placental growth factor (PlGF), serum amyloid A (SAA), sIL-6R, CCL17 (TARC), angiopoietin-1 receptor (Tie-2), tumor necrosis factor (TNF or TNF-alpha), lymphotoxin-alpha (LT-alpha or TNF-beta), thymic stromal lymphopoietin (TSLP), vascular cell adhesion protein 1 (VCAM-1), vascular endothelial growth factor (VEGF)-A-HS, VEGF-C, VEGF-D</p> <p>The data is provided as a tab separated file.</p>
Accuracy of online survey assessment of mental disorders and suicidal thoughts and behaviors in Spanish university students. Results of the WHO World Mental Health-International College Student initiative.
<p>This dataset contains clinical data about 287 university students that participated in a clinical reappraisal study with the objective of examining the accuracy of WMH-ICS online screening scales for evaluating four common mental disorders (Major Depressive Episode, Mania/Hypomania, Panic Disorder, Generalized Anxiety Disorder) and suicidal thoughts and behaviors used in a survey of Spanish university students(UNIVERSAL project).</p>
Dataset of Psychological Impact of the COVID-19 Pandemic on Families of People with Severe Mental Disorders in Brazil
<p>The objective of the study is to understand how the families of patients with severe mental disorders experienced the beginning of the pandemic in Brazil and how they fared during the period of restricted social contact.</p>
Primary-level worker interventions for the care of mental disorders and distress in low- and middle-income countries - GRADE evidence profiles
<p>This file includes all GRADE evidence profiles for the following Cochrane review:</p> <p>van Ginneken N, Chin WY, Lim YC, Ussif A, Singh R, Shahmalak U, Purgato M, Rojas-García A, Uphoff E, McMullen S, Foss HS, Thapa Pachya A, Rashidian L, Borghesani A, Henschke N, Chong L-Y, Lewin S. Primary-level worker interventions for the care of mental disorders and distress in low- and middle-income countries. Cochrane Database of Systematic Reviews. In press</p>
The Effects of Insomnia Treatment on Overnight Regulation of Emotional Memories and Risk for Mental Disorders
ClinicalTrials.gov study NCT06567210. IPD Sharing: NO. Countries: 1. Publications: 10.
Implementing a Blended Care Model That Integrates Mental Healthcare and Primary Care Using Telemedicine and Care Management for Patients With Depression or Alcohol Use Disorder in Small Primary Care C
ClinicalTrials.gov study NCT02713217. IPD Sharing: NO. Countries: 1. Publications: 2.
Life Goals Collaborative Care to Improve Health Outcomes in Mental Disorders
ClinicalTrials.gov study NCT01487668. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Integrating Clinical Practice Guidelines for Smoking Cessation Into Mental Health Care for Veterans With Posttraumatic Stress Disorder
ClinicalTrials.gov study NCT00118534. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Improving Social Functioning in People With Substance Use and Mental Health Disorders Using VR
ClinicalTrials.gov study NCT06677515. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Upper Limb Function in Mental Health Disorders
ClinicalTrials.gov study NCT06949449. IPD Sharing: YES. Countries: 1. Publications: 5.
Harnessing Mobile Technology to Reduce Mental Health Disorders in College Populations
ClinicalTrials.gov study NCT04162847. IPD Sharing: YES. Countries: 1. Publications: 2.
Effectiveness of the Screen, Test, Immunize, Reduce Risk, and Refer (STIRR) Intervention for People With Both a Mental and Substance Abuse Disorder
ClinicalTrials.gov study NCT00316303. IPD Sharing: Not stated. Countries: 1. Publications: 3.
PTSD (PostTraumatic Stress Disorder) Services for Veterans With SMI (Severe Mental Illness)
ClinicalTrials.gov study NCT01542229. IPD Sharing: NO. Countries: 1. Publications: 3.
Twitter Mental Disorder Tweets and Musics Dataset
<p>https://www.kaggle.com/datasets/rrmartin/twitter-mental-disorder-tweets-and-musics?resource=download</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>
Prevalence and Effect of Detecting Common Mental Disorders in Long-term Sickness Absence
ClinicalTrials.gov study NCT01989728. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Mental Health Care Provision for Adults With Intellectual Disability and a Mental Disorder
ClinicalTrials.gov study NCT01695395. 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.