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364 results for “health risk”
Metal(loid)s in urban soil from historical municipal solid waste landfill: Geochemistry, source apportionment, bioaccessibility testing and human health risks - Supplementary data
<p>This is a supplementary dataset to the paper:</p> <p>Hiller E., Faragó T., Kolesár M., Filová L., Mihaljevič M., Jurovič L., Demko R., Mchlica A., Štefánek J., Vítková M. (2024): Metal(loid)s in urban soil from historical municipal solid waste landfill: Geochemistry, source apportionment, bioaccessibility and human health risks. <em>Chemosphere</em> <strong>362</strong>, 142677. DOI: 10.1016/j.chemosphere.2024.142677</p> <p>This research was supported by the Johannes Amos Comenius Programme (OP JAC), project No. CZ.02.01.01/00/22_008/0004605, Natural and anthropogenic georisks. The dataset is published under the Creative Commons Attribution 4.0 International License (CC-BY-4.0). This license allows others to distribute, remix, adapt, and build upon the dataset for any purpose, even commercially, as long as they give appropriate credit to the original creator(s).</p>
Study data for the journal article "Mental health of individuals at increased suicide risk after hospital discharge and initial findings on the usefulness of a suicide prevention project in Central Switzerland"
<p>Anonymized raw data of our cross-sectional survey study.</p> <p>id = study participant ID; se1-se10 = questions of the General Self-Efficacy Scale; sm1-sm5 = questions of the Self-Management Self-Test; hl1-hl12 = questions of the Health Literacy Questionnaire (Swiss version); prisms = question on the utilization of the PRISM-S technique; sp1-sp4 = questions on the utilization and perceived usefulness of the personal safety plan; app1-app7 = questions on the utilization and perceived usefulness of the SERO app; ensa = question on the participation in ensa courses; sex-income = sociodemographic questions</p>
Dataset related to article: "Health risk assessment for dietary exposure to 3-monochloropropane-1,2-diol, 2-monochloropropane-1,2-diol, and glycidol for Italian consumers"
<p><span><span>Excel file containing food consumption data and concentration data in foodstuff used for exposure assessment<br></span></span></p>
Cross-sectional and prospective data on Framingham risk score, allostatic load, and ankle brachial index among Puerto Rican adults from the Boston Puerto Rican Health Study
<p><strong>Background</strong><br> Puerto Ricans have higher odds of peripheral artery disease (PAD) compared with Mexican Americans. Limited studies have examined relationships between clinical risk assessment scores with PAD assessments.</p> <p><strong>Methods</strong><br> Using 2004-2015 data from the Boston Puerto Rican Health Study (BPRHS) (n = 370-583), cross-sectional, 5-y change and patterns of change in Framingham Risk Score (FRS) and allostatic load (AL) with ankle brachial index (ABI) at 5-y follow-up was assessed among Puerto Rican adults (45-75 y). Analysis were conducted in 2020. FRS and AL were calculated at baseline, 2-y and 5-y follow-up. Multivariable linear regression models examined cross-sectional and 5-y changes in FRS and AL with ABI at 5-y. Latent growth mixture modeling identified trajectories of FRS and AL over 5-y, and multivariable linear regression models were used to test associations between trajectory groups at 5-y.</p> <p><strong>Results</strong><br> Greater FRS at 5-y and increases in FRS from baseline were associated with lower ABI at 5-y (β = -0.149, p = 0.010; β = -0.171, p = 0.038, respectively). AL was not associated with ABI in cross-sectional or change analyses. Participants in low-ascending (vs. no change) FRS trajectory, and participants in moderate-ascending (vs. low-ascending) AL trajectory, had lower 5-y ABI (β = -0.025, p = 0.044; β = -0.016, p = 0.023, respectively).</p> <p><strong>Conclusions</strong><br> FRS was a better overall predictor of ABI, compared with AL. FRS may be a clinically feasible measure of PAD risk in Puerto Ricans, an understudied population. Additional research examining relationships between FRS and AL and development of PAD is warranted.</p>
Burden of cardiometabolic risk factors and preclinical target organ damage among adults in Freetown, Sierra Leone: a community-based health-screening survey
<p>The study aimed to investigate the prevalence of cardiometabolic risk factors (CMRFs), target organ damage and its associated factors among adults in Freetown, Sierra Leone.</p> <p><strong>Design</strong></p> <p>This community-based cross-sectional study used a stratified multistage random sampling method to recruit adult participants. </p> <p><strong>Setting </strong></p> <p>The health screening study was conducted between October 2019 and October 2021 in Western Area Urban, Freetown, Sierra Leone. </p> <p><strong>Participants</strong></p> <p>A total of 2394 adults Sierra Leoneans aged 20 years, or more were enrolled.</p> <p><strong>Outcome measure </strong></p> <p>Anthropometric data, fasting lipid profiles, fasting plasma glucose, target organ damage, clinical profiles and demographic characteristic of participants were described. The cardiometabolic risks were further related to target organ damage.</p> <p><strong>Results</strong></p> <p>The prevalence of known CMRFs was 35.3% for hypertension, 8.3% for diabetes mellitus, 21.1% for dyslipidemia, 10.0% for obesity, 13.4% for smoking and 37.9% for alcohol. Additionally, 16.1% had left ventricular hypertrophy (LVH) by ECG, 14.2% had LVH by 2D-Echo while 11.4% had chronic kidney disease. Diabetes [OR = 1.176, 95% C.I. (0.759 - 1.823)] and dyslipidaemia [OR = 1.844, 95% C.I. (1.006 -3.380)] were independently associated with LVH. LVH by Echo shows an independent association with diabetes mellitus [OR =1.176, 95% C.I (0.759-1.823)] and dyslipidemia [OR = 1.844, 95% C.I (1.006-3.380)]. The odds of having CKD were associated with diabetes mellitus [OR =1.212, 95% CI (0.741-1.983)] and hypertension [OR =1.163, 95% CI (0.887-1.525)]. A low optimal cut-off points for ECG-LVH (male 24.5 vs female 27.5mm) was required to maximize sensitivity and specificity. </p> <p><strong>Conclusions</strong></p> <p>This study provides novel data-driven information on the burden of cardiometabolic risks and its association with preclinical target organ damage in a resource limited setting. It illustrates the need for interventions in improve cardiometabolic health screening and management among adults in Sierra Leoneans. </p>
Phytophthora in horticultural nursery green waste - a risk to plant health
<p>This dataset on Zenodo accompanies the manuscript Schiffer-Forsyth <em>et al.</em> (2023), Phytophthora in horticultural nursery green waste – a risk to plant health.</p> <p>There are two files:</p> <ul> <li>metadata.tsv - plain text table as tab-separated variables</li> <li>raw_data.tar.gz - compressed archive of 81 paired raw FASTQ files</li> </ul> <p>This represents a complete Illumina MiSeq run, with the names of the unrelated samples redacted.</p> <p>To repeat the analysis described in the paper, first install THAPBI PICT. See <a href="https://github.com/peterjc/thapbi-pict/">https://github.com/peterjc/thapbi-pict/ </a>for instructions. At the time of the paper, v0.14.1 was the current release (with a near-identical v1.0.0 expected to be released shortly).</p> <p>Next, decompress the raw data into a folder of paired gzipped FASTQ files. There is no need to decompress those:</p> <pre><code class="language-bash"> $ tar -zxvf raw_data.tar.gz $ ls -1 raw_data/</code></pre> <p>If you wish, verify the checksums to confirm the data integrity:</p> <pre><code class="language-bash"> $ cd raw_data/ $ md5sum -c MD5SUM.txt $ cd ..</code></pre> <p>Setup output directories:</p> <pre><code class="language-bash"> $ mkdir -p intermediate/ summary/</code></pre> <p>You can run the analysis in one step. This should take under five minutes: </p> <pre><code class="language-bash">$ thapbi_pict pipeline -i raw_data/ \ -n raw_data/SynCtrl_*.fastq.gz \ -y raw_data/SynCtrl_*.fastq.gz \ -s intermediate/ -o summary/ \ -t metadata.tsv -x 3 -c 1,2,4,5</code></pre> <p>The options here are as follows:</p> <ul> <li>-i raw_data - input directory of paired raw FASTQ files.</li> <li>-n raw_data/SynCtrl_*.fastq.gz - negative controls used to increase the absolute abundance threshold</li> <li>-y raw_data/SynCtrl_*.fastq.gz - synthetic controls used to increase the fractional abundance threshold</li> <li>-s intermediate/ - optional location to store intermediate files</li> <li>-o summary/ - output location for reports</li> <li>-t metadata.tsv -x 3 -c 1,2,4,5 - show and sort on metadata columns 1, 2, 4 and 5 from metadata.tsv using column 3 to cross-reference the FASTQ filename stems (semi-colon separated lists for replicates).</li> </ul> <p>This assumes the following key default settings:</p> <ul> <li>-a 100 -f 0.001 - default absolute and fractional abundance thresholds</li> <li>-d - - default to the provided ITS1 database</li> </ul> <p>With these settings, only synthetic sequences were found in the controls, and therefore the thresholds were not automatically increased any further.</p> <p>Note some of these options could change in future releases of the software, and in particular there would likely be additional Phytophthora species or sequences in future updates to the default database.</p> <p>Output file summary/ITS1.samples.onebp.xlsx (and .tsv) is equivalent to Table 2 (after pooling replicates, and applying human judgement to resolve ambiguous ITS1 markers shared by multiple species).</p> <p>Note <em>P. austrocedri</em> was identified in three samples, N2-Water_S2 and N2-Water_S22 described in this work, and a third sample REDACTED_S28 from another location.</p>
Table 2. Studies on psychiatric side effects of fluoroquinolones. The risk of bias and study quality assessed with the Effective Public Health Practice Project's Quality Assessment Tool for Quantitative Studies (QATQS) was presented as the global rating for each publication (3 – weak).
<p>Studies on psychiatric side effects of fluoroquinolones. The risk of bias and study quality assessed with the Effective Public Health Practice Project’s Quality Assessment Tool for Quantitative Studies (QATQS) was presented as the global rating for each publication (3 – weak).</p>
Evaluating Risk Progression in Mental Health Chatbots with Escalating Prompts Dataset
<p>Excel dataset for "Evaluating Risk Progression in Mental Health Chatbots with Escalating Prompts" manuscript. </p>
Risk of Mental Health Conditions in Children and Young Adults With Inflammatory Bowel Disease and Influence on Health
ClinicalTrials.gov study NCT05206734. IPD Sharing: YES. Countries: 1. Publications: 2.
Reducing Sexual Risk Behaviors and Improving Health for People at a Sexually Transmitted Infection Clinic
ClinicalTrials.gov study NCT00947271. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Heart Health 4 Moms Trial to Reduce CVD Risk After Preeclampsia
ClinicalTrials.gov study NCT02147626. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Skin Health Online for Melanoma: Better Risk Assessment
ClinicalTrials.gov study NCT03130569. IPD Sharing: NO. Countries: 1. Publications: 25.
Health Education Materials With/Out a Physical Activity Program for Patients Who Have Undergone Treatment for High-Risk Stage II or Stage III Colon Cancer
ClinicalTrials.gov study NCT00819208. IPD Sharing: NO. Countries: 6. Publications: 5.
A Trial of Online LGBTQ-affirmative Cognitive Behavioral Therapy to Reduce Depression and Associated Health Risks Among Young Adults
ClinicalTrials.gov study NCT04408469. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology
ClinicalTrials.gov study NCT04756869. IPD Sharing: YES. Countries: 1. Publications: 1.
Reducing Behavioral Risk Factors of NCDs: Protocol for a School-based Health Education Program in Bangladesh
ClinicalTrials.gov study NCT03975335. IPD Sharing: NO. Countries: 1. Publications: 2.
Couples Health Project: Couples-based Intervention to Reduce Drug Use and HIV Transmission Risk
ClinicalTrials.gov study NCT03386110. IPD Sharing: NO. Countries: 1. Publications: 3.
CARES: A Mobile Health Program for Alcohol Risk Reduction
ClinicalTrials.gov study NCT03927482. IPD Sharing: NO. Countries: 1. Publications: 1.
Does Switching to Nicotine Containing Electronic Cigarettes Reduce Health Risk Markers
ClinicalTrials.gov study NCT03625986. IPD Sharing: NO. Countries: 1. Publications: 0.
Genetic Risk and Health Coaching for Type 2 Diabetes and Coronary Heart Disease
ClinicalTrials.gov study NCT01884545. IPD Sharing: Not stated. Countries: 1. Publications: 9.
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.