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81 results for “Poverty”
ASHA Bangladesh--An Integrated Intervention to Address Poverty and Depression
ClinicalTrials.gov study NCT06295250. IPD Sharing: YES. Countries: 1. Publications: 131.
Child of Urban Poverty Iron Project (CUPIP) - A Pilot Study
ClinicalTrials.gov study NCT03819530. IPD Sharing: NO. Countries: 1. Publications: 1.
Targeting Child Mental Health and Household Poverty
ClinicalTrials.gov study NCT05667675. IPD Sharing: YES. Countries: 1. Publications: 1.
Patient Navigators for Children's Community Mental Health Services in High Poverty Urban Communities
ClinicalTrials.gov study NCT05294042. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Data from: The relationship between poverty and healthcare seeking among patients hospitalized with acute febrile illnesses in Chittagong, Bangladesh
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Data of subjective poverty, public services supply, and livelihood capital
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Supplemental Materials: Duration of poverty and subsequent cognitive function and decline among older adults in China, 2005-2018
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The Effect of Perception of Poverty on Quality of Life in Old Women and the Mediation of Depression Dataset
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THE POPULATION WISHES FOR POVERTY REDUCTION AND EMPLOYMENT
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SPECIAL DIRECTIONS OF POVERTY REDUCTION IN THE REGIONS
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SPECIAL DIRECTIONS OF POVERTY REDUCTION IN THE REGIONS
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Globalization Poverty Inequality in Thailand
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The paradox of food production, consumption, poverty and malnutrition in Tanzania
<p><span><b>Background</b>: There have been claims amongst nutrition stakeholders in Tanzania that the food basket regions are leading in stunting prevalence. However, we could not find evidence that combines food production and stunting levels to substantiate this claim. Therefore, this study aims to compare data of stunting, food production and consumption at administrative regions in Tanzania Mainland.</span></p> <p><span><b>Methods</b>: The study used an ecological study design to show the relationship between stunting, poverty, and food production and consumption across administrative regions in Tanzania. The study used data from three national wide surveys: 2017/2018 Household Budget Survey (HBS), Tanzania National Nutrition Survey (TNNS) 2018 and Agriculture Statistics for Food Security report 2018/2019.</span></p> <p><span><b>Results</b>: The study showed that there is a positive relationship between the prevalence of stunting and food production (r=0.43, p=0.03) while there is a negative relationship between stunting and the level of both the average monthly household consumption expenditure (r = -0.48, p = 0.01) and average monthly household food consumption expenditure (r = -0.509, p = 0.01). It was further found that some regions which have higher levels of stunting such as Njombe have the lowest level of basic need poverty.</span></p> <p><span><b>Conclusion</b>: The study found a positive relationship between food production and the prevalence of stunting using data across regions in Mainland Tanzania. This is an indication that regional food security may not entail nutrition security hence a call for more advocacy on nutrition-sensitive agriculture.</span></p>
FDI and Poverty Reduction in Latin America
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Figure 3 in The First Cases of Evolving Glyphosate Resistance in UK Poverty Brome (Bromus sterilis) Populations
Figure 3. Calculated glyphosate ED50 values for 11 field-collected B. sterilis populations from the United Kingdom. Error bars are standard error of ED50 parameter estimates.
Data from: Mental illness, poverty and stigma in India: a case control study
Objective: To assess the effect of experienced stigma on depth of multidimensional poverty of persons with severe mental illness (PSMI) in Delhi, India, controlling for gender, age and caste. Design: Matching case (hospital)–control (population) study. Setting: University Hospital (cases) and National Capital Region (controls), India. Participants: A case–control study was conducted from November 2011 to June 2012. 647 cases diagnosed with schizophrenia or affective disorders were recruited and 647 individuals of same age, sex and location of residence were matched as controls at a ratio of 1:2:1. Individuals who refused consent or provided incomplete interview were excluded. Main outcome measures: Higher risk of poverty due to stigma among PSMI. Results: 38.5% of PSMI compared with 22.2% of controls were found poor on six dimensions or more. The difference in multidimensional poverty index was 69% between groups with employment and income of the main contributors. Multidimensional poverty was strongly associated with stigma (OR 2.60, 95% CI 1.27 to 5.31), scheduled castes/scheduled tribes/other backward castes (2.39, 1.39 to 4.08), mental illness (2.07, 1.25 to 3.41) and female gender (1.87, 1.36 to 2.58). A significant interaction between stigma, mental illness and gender or caste indicates female PSMI or PSMI from 'lower castes' were more likely to be poor due to stigma than male controls (p<0.001) or controls from other castes (p<0.001). Conclusions: Public stigma and multidimensional poverty linked to SMI are pervasive and intertwined. In particular for low caste and women, it is a strong predictor of poverty. Exclusion from employment linked to negative attitudes and lack of income are the highest contributors to multidimensional poverty, increasing the burden for the family. Mental health professionals need to be aware of and address these issues.
Poverty by State
<p>Poverty rate by state 2021</p>
A Feasibility Study to Improve Colorectal Cancer Screening Among Racially Diverse Zip Codes in a Persistent Poverty County Using Navigation and Machine Learning Predictive Algorithms
ClinicalTrials.gov study NCT05383976. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Parent-mediated Social-communication Therapy for Young Children Living in Poverty in Brazil
ClinicalTrials.gov study NCT05011240. IPD Sharing: NO. Countries: 0. Publications: 1.
Offering Free Fruits and Vegetables to Men at Risk of Poverty
ClinicalTrials.gov study NCT02787564. 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.