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64 results for “Urban health”
Urban Agriculture and Health: Insights from Anonymized Expert Interviews on Spatial Planning in Greater Lomé, Togo
<p>Transcripts of anonymized interviews with 11 urban planning experts in Greater Lomé on the subject of urban agriculture, health and spatial planning.</p>
Fig. 6 in Urban Green Areas, Recreational Use And Health Impact Of Victory Gardens (Córdoba - Spain)
Fig. 6. Daily pollen concentrations of the principal pollen types in the city of Córdoba during 2017, related to ornamental flora in the Gardens of Victory.
Fig. 2 in Urban Green Areas, Recreational Use And Health Impact Of Victory Gardens (Córdoba - Spain)
Fig. 2. Aerial photo of the Victory Gardens (Google earth) and architectural plan (own elaboration).
Fig. 1. Investigated 8 in The Relation Of Forest And Air Pollution With Human Health In Urban Territories Of Lithuania
Fig. 1. Investigated 8 urban territories of Lithuania (Alytus, Kaunas, Klaipeda, Palanga, Panevezys, Siauliai, Vilnius, Visaginas urban municipalities).
Urban Agriculture and Health in Africa. A Review
<p>The Excel table is raw data containing publications from the systematic literature review on urban agriculture's impacts on health and urban planning research.</p> <p>This work was totally funded by the Swiss National Science Foundation (SNF#18357) Sinergia Project – African Contribution to Global Health: Circulating Knowledge and Innovations.</p>
Data from: City sicker? a meta-analysis of wildlife health and urbanization
Urban development can alter resource availability, land use, and community composition, in turn influencing wildlife health. Generalizable relationships between wildlife health and urbanization have yet to be quantified, and could vary across health metrics and animal taxonomy. We present a phylogenetic meta-analysis of 516 records spanning 81 wildlife species from 106 studies comparing the toxicant loads, parasitism, body condition, or stress of urban and non-urban wildlife populations in 30 countries. We find a significantly negative relationship between urbanization and wildlife health, driven by higher toxicant loads and greater parasitism by parasites transmitted through close contact. Invertebrates and amphibians were particularly affected, with higher toxicant loads and physiological stress in urban populations as compared to their non-urban counterparts. We also found strong geographic and taxonomic bias in research effort, highlighting future research needs. Our results suggest urban wildlife experience several health risks with potential threats to conservation.
Fig. 7 in Urban Green Areas, Recreational Use And Health Impact Of Victory Gardens (Córdoba - Spain)
Fig. 7. Principal pollination pediod for ornamental flora in the studied gardens.
Fig. 3 in Urban Green Areas, Recreational Use And Health Impact Of Victory Gardens (Córdoba - Spain)
Fig. 3. Origin for ornamental flora in the studied gardens.
Fig. 4 in Urban Green Areas, Recreational Use And Health Impact Of Victory Gardens (Córdoba - Spain)
Fig. 4. Pollination strategy for ornamental flora in the studied gardens.
Fig. 1 in Urban Green Areas, Recreational Use And Health Impact Of Victory Gardens (Córdoba - Spain)
Fig. 1. Map showing the location of Córdoba city.
Fig. 3 in The Relation Of Forest And Air Pollution With Human Health In Urban Territories Of Lithuania
Fig. 3. The correlation between the forest coverage and air pollution indicators.
Fig. 2 in The Relation Of Forest And Air Pollution With Human Health In Urban Territories Of Lithuania
Fig. 2. The correlation between the forest and human health indicators.
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>
Family-Focused, Stress-Reduction Program to Improve the Health Care of Urban Children With Asthma
ClinicalTrials.gov study NCT00384813. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Connecting Resources for Urban Sexual Health
ClinicalTrials.gov study NCT02183909. IPD Sharing: Not stated. Countries: 1. Publications: 3.
School-Based Mental Health Services for Urban Children
ClinicalTrials.gov study NCT00612690. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Vaccine Health Literacy Related Text Message Reminders to Increase Receipt of Second Dose of Influenza Vaccine for Young, Low Income, Urban Children
ClinicalTrials.gov study NCT01662583. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: City sicker? a meta-analysis of wildlife health and urbanization
Open the record for dataset details and reuse information.
Data from: Current inequality and future potential of US urban tree cover for reducing heat-related health impacts
Open the record for dataset details and reuse information.
Pregnancy-induced hypertension and its associated risk factors among pregnant garment workers attending an urban health center in Bangladesh
<p><strong><span>ABSTRACT</span></strong></p> <p><strong><span>Background: </span></strong><span>Pregnancy-induced hypertension (PIH) can lead to severe morbidity, long-term disability, and mortality among mothers and their infants<strong>. </strong>PIH is increasing worldwide, disproportionately affecting more mothers in developing countries. <span> </span><span>This study aims to determine the prevalence of PIH and its associated risk factors among pregnant garment workers attending an urban health center in Bangladesh</span>.</span></p> <p><strong><span>Methods:</span></strong><span> This cross-sectional study was conducted among pregnant garment workers at ≥20 weeks of gestation, who visited a health center of a garment in Narayanganj, Bangladesh between July and October 2023. <span>Data on socio-demographics, clinical characteristics including body weight and blood pressure, and family history of chronic diseases were gathered. </span>Logistic regression was done to calculate crude and adjusted odds ratios (OR) to identify factors associated with PIH.</span></p> <p><strong><span>Result:</span></strong><span><span> </span><span>With an average age of 27.3 years (standard deviation 3.2) and nearly two-thirds of the 150 participants having completed secondary education or higher, the mean gestational age was 21.7 weeks. One out of ten had a family history of high blood pressure and 2% had a family history of PIH. The overall prevalence of PIH was 7.3%. Higher risk for PIH was linked to family history of PIH (aOR 18.1; 95% CI 1.3, 251.3). </span></span></p> <p><strong><span>Conclusion:</span></strong><span> <span>The study identified that one out of every 14 pregnant garment workers had PIH. The findings highlight that a family history of PIH significantly increases the likelihood of developing PIH in this population. Therefore, pregnant women with this risk factor should be prioritised by health care professionals. </span></span></p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.