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193 results for “socioeconomic”
Supplement Information for article titled the global trade and socioeconomic and environmental trade-offs: a study on the future of Indonesian oil palm
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Data from: Socioeconomic status effects on health vary between rural and urban Turkana
<p>Background and objectives: Understanding the social determinants of health is a major goal in evolutionary biology and human health research. Low socioeconomic status (often operationalized as absolute material wealth) is consistently associated with chronic stress, poor health, and premature death in high income countries. However, the degree to which wealth gradients in health are universal<span>—</span>or are instead made even steeper under contemporary, post-industrial conditions<span>—</span>remains poorly understood.</p> <p>Methodology: We quantified absolute material wealth and several health outcomes among a population of traditional pastoralists, the Turkana of northwest Kenya, who are currently transitioning toward a more urban, market-integrated lifestyle. We assessed whether wealth associations with health differed in subsistence-level versus urban contexts. We also explored the causes and consequences of wealth-health associations by measuring serum cortisol, potential sociobehavioral mediators in early life and adulthood, and adult reproductive success (number of surviving offspring).</p> <p>Results: Higher socioeconomic status and greater material wealth predicts better self-reported health and more offspring in traditional pastoralist Turkana, but worse cardiometabolic health and fewer offspring in urban Turkana. We do not find robust evidence for either direct biological mediators (i.e., cortisol) or indirect sociobehavioral mediators (e.g., adult diet or health behaviors, early life experiences) of wealth-health relationships in either context.</p> <p>Conclusions and implications: While social gradients in health are well-established across a variety of primate species, and in humans, across a variety of socioecological contexts, we show that the relationship between wealth and health can vary within a single population. Our findings emphasize that changes in economic and societal circumstances may directly alter how, why, and under what conditions socioeconomic status is predictive of health.</p>
Data and code for 'Baseline food insecurity moderates the acute effect of subjective socioeconomic status on food consumption'
<p>Data and R code underlying the paper 'Baseline food insecurity moderates the acute effect of subjective socioeconomic status on food consumption'</p> <p>This version uploaded in association with a new version of the paper and a different analysis strategy, May 2019</p>
NC Works4Health: Reducing Chronic Disease Risks in Socioeconomically Disadvantaged, Unemployed Populations
ClinicalTrials.gov study NCT04815278. IPD Sharing: YES. Countries: 1. Publications: 0.
Self-management, Health Literacy and Social Capital in Socioeconomically Disadvantaged Older Adults
ClinicalTrials.gov study NCT02733523. IPD Sharing: NO. Countries: 0. Publications: 8.
Bangkok Noi District Electronic Health Database With Socioeconomic Factors From Bangkok Noi Model Project (BANMOP)
ClinicalTrials.gov study NCT06583694. IPD Sharing: YES. Countries: 0. Publications: 2.
Socioeconomic Differences in Alcohol Harm in Finland in a Nationwide Cohort Study
ClinicalTrials.gov study NCT05865847. IPD Sharing: NO. Countries: 0. Publications: 14.
Life Course Socioeconomic Status, Social Context and Cardiovascular Disease
ClinicalTrials.gov study NCT00014833. IPD Sharing: YES. Countries: 0. Publications: 1.
Study on the Relationship Between Chinese Women's Perinatal Mental Health and Socioeconomic Status
ClinicalTrials.gov study NCT04185207. IPD Sharing: NO. Countries: 0. Publications: 3.
Tobacco and Socioeconomic Disadvantage
ClinicalTrials.gov study NCT03620708. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Hospital distance, socioeconomic status, and timely treatment of ischemic stroke
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The socioeconomic status of cities covaries with avian life-history strategies
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Socioeconomic status and decreasing incidence of ocular injuries in Bosnia and Herzegovina
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Data from: Socioeconomic status effects on health vary between rural and urban Turkana
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The Biological Embedding of Early Life Socioeconomic and Family Adversity in Children’s Genome-wide DNA Methylation
GEO Series GSE94734. Homo sapiens. 178 samples. Type: Methylation profiling by genome tiling array.
An Epigenome-Wide Analysis of Socioeconomic Position and Tumor DNA Methylation in Breast Cancer Patients
GEO Series GSE226569. Homo sapiens. 694 samples. Type: Methylation profiling by array.
Health, socioeconomic and genetic predictors of COVID-19 vaccination uptake: a nationwide machine-learning study
<p>Reduced participation in COVID-19 vaccination programs is a key societal concern. Understanding factors associated with vaccination uptake can help in planning effective immunization programs. We considered 2,890 health, socioeconomic, familial, and demographic factors measured on the entire Finnish population aged 30 to 80 (N=3,192,505) and genome-wide information for a subset of 273,765 individuals. Risk factors were further classified into 12 thematic categories and a machine learning model was trained for each category. The main outcome was uptaking the first COVID-19 vaccination dose by 31.10.2021, which has occurred for 90.3% of the individuals.</p> <p>The strongest predictor category was labor income in 2019 (AUC evaluated in a separate test set = 0.710, 95% CI: 0.708-0.712), while drug purchase history, including 376 drug classes, achieved a similar prediction performance (AUC = 0.706, 95% CI: 0.704-0.708). Higher relative risks of being unvaccinated were observed for some mental health diagnoses (e.g. dissocial personality disorder, OR=1.26, 95% CI : 1.24-1.27) and when considering vaccination status of first-degree relatives (OR=1.31, 95% CI:1.31-1.32 for unvaccinated mothers)</p> <p>We derived a prediction model for vaccination uptake by combining all the predictors and achieved good discrimination (AUC = 0.801, 95% CI: 0.799-0.803). The 1% of individuals with the highest risk of not vaccinating according to the model predictions had an average observed vaccination rate of only 18.8%.</p> <p>We identified 8 genetic loci associated with vaccination uptake and derived a polygenic score, which was a weak predictor of vaccination status in an independent subset (AUC=0.612, 95% CI: 0.601-0.623). Genetic effects were replicated in an additional 145,615 individuals from Estonia (genetic correlation=0.80, 95% CI: 0.66-0.95) and, similarly to data from Finland, correlated with mental health and propensity to participate in scientific studies. Individuals at higher genetic risk for severe COVID-19 were less likely to get vaccinated (OR=1.03, 95% CI: 1.02-1.05).</p> <p>Our results, while highlighting the importance of harmonized nationwide information, not limited to health, suggest that individuals at higher risk of suffering the worst consequences of COVID-19 are also those less likely to uptake COVID-19 vaccination. The results can support evidence-informed actions for COVID-19 and other areas of national immunization programs.</p>
Supplementary material for the article entitled "Socioeconomic Analysis of the Proposed Opening of the Brazilian energy Market Through the Combination of Forecast Method with the Optimized Tariff Model"
<p>This supplementary material includes the input data used for the simulations conducted in the article.</p>
Effects of a Nutritional Supplementation on the Functional Status of Frail Elders With Low Socioeconomic Status (SES)
ClinicalTrials.gov study NCT01404299. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Trial on the Clinical and Socioeconomic Impact of Wearable Exoskeletons for Spinal Cord Injury Rehabilitation in the Spanish Healthcare System
ClinicalTrials.gov study NCT07036107. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.