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759 results for “Addiction”
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>
Patterns of reduced cortical thickness and striatum pathological morphology in cocaine addiction
<p>This dataset includes all the data and scripts needed to reproduce the analysis and results on the manuscript "Patterns of reduced cortical thickness and striatum pathological morphology in cocaine addiction" (<a href="https://www.biorxiv.org/content/early/2018/04/22/306068">link</a>). The brain data is not raw, as T1w were not defaced. We will do so in the near future for version 2.0. Instead we include only the "output/thickness" files used in the final analysis. For the use of raw T1w images, please contact the main author EAGV.</p> <p> </p> <p>Note: Paths will differ in the script.</p>
Global Drug Addiction Treatment Market 2024–2033
<h2><a title="Global Drug Addiction Treatment Market 2024&ndash;2033" href="https://www.custommarketinsights.com/report/drug-addiction-treatment-market/" target="_blank" rel="noopener">Global Drug Addiction Treatment Market </a>Size, Trends and Insights By Type (Opioid Addiction, Benzodiazepine Addiction, Barbiturate Addiction, Others), By Treatment (Therapy, Medication, Others), By Route of Administration (Oral, Parenteral, Others), By End Users (Hospitals, Specialty Clinics, Others), By Distribution Channel (Hospital Pharmacy, Retail Pharmacy, Online Pharmacies, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033</h2>
Data from: Single-nucleus RNA-seq and ATAC-seq in outbred rats with divergent cocaine addiction behaviors reveal long-term changes in gene regulation and GABAergic inhibition in the amygdala
<p>This dataset accompanies our publication titled: "Single-nucleus RNA-seq and ATAC-seq in outbred rats with divergent cocaine addiction behaviors reveal long-term changes in gene regulation and GABAergic inhibition in the amygdala."</p> <p><strong>Files Included:</strong></p> <p><strong>1. geno.N26.vcf.gz</strong><br> - Description: Contains genotypes for 26 Heterogeneous Stock rats whose gene expression was predicted.</p> <p><strong>2. pred_expr.Brain.N26.tsv</strong><br> - Description: This tab-delimited table contains predicted relative gene expression in the brain for 26 Heterogeneous Stock rats. <br> - Details: Predictions were made for 8,997 genes from linear models based on cis-eQTLs from whole brain hemisphere tissue downloaded from the <a href="https://ratgtex.org/download/">RatGTEx Portal</a>. A gene is included in the table if it had at least one significant cis-eQTL, and if its predicted expression in these 26 animals had nonzero variance. The values in the table give the predicted log2(relative expression), where log2(2) = 1 is the baseline expression from the two haplotypes of the gene if it had only reference alleles at all its regulatory loci.<br> - Additional Info: Predictions were generated using <strong>gene_expr_pred.py</strong> available at https://github.com/PejLab/gene_expr_pred<br> An explanation of the prediction model is given in https://doi.org/10.1101/2022.01.28.478116</p> <p><strong>3. Behavioral data.xlsx</strong><br> - Description: Contains behavioral data for the Heterogeneous Stock (HS) rats.<br> - Organization: Each sheet in the file corresponds to data for a specific figure.</p> <p><strong>Additional Dataset Locations:</strong></p> <p>The primary datasets generated during this study can be found on the Gene Expression Omnibus under accession number <a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE212417">GSE212417</a></p> <p><strong>Publicly Available Datasets Utilized:</strong></p> <p>- Rattus norvegicus Ensembl v98 reference genome and genome assembly: <a href="http://useast.ensembl.org/Rattus_norvegicus/Info/Index">Rnor_6.0 </a><br> - JASPAR2022 transcription factor binding profiles for vertebrates: <a href="https://jaspar.genereg.net/">JASPAR</a><br> - ENCODE Honeybadger 2 ChIP-seq: <a href="https://personal.broadinstitute.org/meuleman/reg2map/">Broad Institute</a><br> - Liu et al. 2019106 GWAS for tobacco and nicotine addiction summary statistics: <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358542/">PubMed</a><br> - RatGTEx Portal tissue-specific cis-eQTLs: <a href="https://ratgtex.org/download/">RatGTEx Portal </a><br> - 1000 Genomes European reference panel: <a href="https://alkesgroup.broadinstitute.org/LDSCORE/">Alkes Group</a><br> - KEGG pathways: <a href="https://www.kegg.jp/kegg/rest/keggapi.html">KEGG API</a></p>
Collaborating to Heal Addiction and Mental Health in Primary Care
ClinicalTrials.gov study NCT04600414. IPD Sharing: YES. Countries: 1. Publications: 1.
Cross-sectional study of Facebook addiction in a sample of Nepalese population
<p><strong>Background</strong>: Facebook addiction is said to occur when an individual spends an excessive amount of time on Facebook, disrupting one's daily activities and social life. The present study aimed to find out the level of Facebook addiction in the Nepalese context and briefly discuss the crimes associated with its unintended use.</p> <p><strong>Methods: </strong>A descriptive cross-sectional study was conducted in the Department of Forensic Medicine of Lumbini Medical College. The study instrument was the Bergen Facebook Addiction Scale typed into a Google Form and sent randomly to Facebook contacts of the authors. The responses were downloaded in a Microsoft Excel spreadsheet and analyzed using Statistical Package for Social Sciences version 16.</p> <p><strong>Results: </strong>The study consisted of 103 Nepalese participants, of which 54 (52.42%) were males and 49 females (47.58%). There were 11 participants (10.68%) who had more than one Facebook account. When different approaches were applied it was observed that 8.73% (n=9) to 39.80% (n=41) were addicted to Facebook.</p> <p><strong>Conclusion: </strong>When used properly Facebook has its own advantages. Excessive use is linked with health hazards including addiction and dependency. Students who engage more on Facebook will have less time studying leading to poor academic performance.People need to be made aware of the issues associated with the misuse of Facebook</p>
Supplementary dataset for journal article "De novo MYC addiction as an adaptive response of cancer cells to CDK4/6 inhibition"
<p>Supplementary material for the journal article "De novo MYC addiction as an adaptive response of cancer cells to CDK4/6 inhibition".<br> 13C Metabolic flux analyses of CDK4/6 knockdown HCT116 cells and control HCT116 cells performed using INCA v1.5 (Young, J. D., 2014, INCA: a computational platform for isotopically non-stationary metabolic flux analysis. Bioinformatics 30, 1333-1335; http://mfa.vueinnovations.com.) running with MATLAB R2012b. The two files were generated by INCA with the estimated flux map distributions, network model, and tracer simulations.</p>
The Concurrent Validity of the Internet Addiction Test (IAT) and the Mobile Phone Dependence Questionnaire (MPDQ)
<p>A full raw dataset for the following research study</p> <p> </p> <p>PONE-D-17-34552R1 <br> The Concurrent Validity of the Internet Addiction Test (IAT) and the Mobile Phone Dependence Questionnaire (MPDQ)</p>
Stochastic synaptic plasticity underlying compulsion in an addiction model
<p>Data set for article published in Nature: Pascoli 2018 https://doi.org/10.1038/s41586-018-0789-4</p>
CURE Addiction Center of Excellence: Brain Mechanisms of Relapse and Recovery
ClinicalTrials.gov study NCT01587196. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Employment-based Reinforcement to Motivate Drug Abstinence in the Treatment of Drug Addiction. - 1
ClinicalTrials.gov study NCT00249496. IPD Sharing: NO. Countries: 1. Publications: 2.
Outcomes of Opioid Addicted Prisoners With Extended-Release Injectable Naltrexone
ClinicalTrials.gov study NCT02617628. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Randomized Controlled Trial of Digital CBT to Treat Addiction: Digital RITch®CBT vs. Standard CBT
ClinicalTrials.gov study NCT05943171. IPD Sharing: YES. Countries: 1. Publications: 1.
Preventing Addiction Related Suicide (PARS)
ClinicalTrials.gov study NCT03166709. IPD Sharing: NO. Countries: 1. Publications: 1.
Protocol Study on Addiction, Trauma and Immigration Among Vulnerable Young Adults in Grand Est
ClinicalTrials.gov study NCT06922721. IPD Sharing: NO. Countries: 1. Publications: 1.
Assessment of and Treatment Applied to Food Addiction in a Rural Healthy Behaviors Clinic
ClinicalTrials.gov study NCT03431831. IPD Sharing: NO. Countries: 1. Publications: 1.
Addiction Housing Case Management for Homeless Veterans
ClinicalTrials.gov study NCT01346514. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Repetitive Transcranial Magnetic Stimulation (rTMS) for Nicotine Addiction
ClinicalTrials.gov study NCT02401672. IPD Sharing: NO. Countries: 1. Publications: 3.
Evaluating Improvement Strategies in Addiction Treatment
ClinicalTrials.gov study NCT00934141. IPD Sharing: Not stated. Countries: 1. Publications: 16.
Bilateral Prefrontal Modulation in Crack-cocaine Addiction
ClinicalTrials.gov study NCT02091167. IPD Sharing: NO. Countries: 1. Publications: 12.
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.