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Considering that the public health sector has been considered as a key stakeholder in climate action, it seems important to understand what interventions are carried out globally by trusted professionals such as nurses engaged in health promotion and environmental health in optimizing the health of individuals, families, and communities toward the dissemination of lifestyle decarbonization and guidance on healthier climate-related choices. The objective of this review was to understand the extent and type of evidence related to the community-based interventions of nurses that are being led or have been implemented thus far with the aim of reducing the health risks from climate change impact in urban areas. The present protocol follows the JBI methodological framework. Databases to be searched include PubMed, MEDLINE complete, CINAHL, Scopus, Embase, Web of Science, SciELO (Scientific Electronic Library Online), and BASE (Bielefeld Academic Search Engine). Hand searched references were also considered for inclusion. This review will include quantitative, qualitative, and mixed methods studies from 2008 onwards. Systematic reviews, text, opinion papers, and the gray literature in English and Portuguese were also considered. Mapping the nurse led interventions or those that have been implemented thus far in urban areas may lead to further reviews that may help identify the best practices and gaps within the field. The results are presented in tabular format alongside a narrative summary.
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http://dx.doi.org/10.3390/nursrep13010045 | DOI Listing |
Environ Monit Assess
September 2025
Indira Gandhi Conservation Monitoring Centre, World Wide Fund-India, New Delhi, 110003, India.
Understanding the intricate relationship between land use/land cover (LULC) transformations and land surface temperature (LST) is critical for sustainable urban planning. This study investigates the spatiotemporal dynamics of LULC and LST across Delhi, India, using thermal data from Landsat 7 (2001), Landsat 5 (2011) and Landsat 8 (2021) resampled to 30-m spatial resolution, during the peak summer month of May. The study aims to target three significant aspects: (i) to analyse and present LULC-LST dynamics across Delhi, (ii) to evaluate the implications of LST effects at the district level and (iii) to predict seasonal LST trends in 2041 for North Delhi district using the seasonal auto-regressive integrated moving average (SARIMA) time series model.
View Article and Find Full Text PDFJ Urban Health
September 2025
Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Timely access to comprehensive , high-quality emergency obstetric and neonatal care can prevent maternal and neonatal mortality but remains challenging in Benin. We examine geographic accessibility to childbirth care (CBC) in Grand Nokoué, the largest conurbation in Benin. We gathered data on boundaries, health facilities, road network, elevation, land cover, relative wealth, urbanicity, and geo-traced travel speeds over 45 days during the rainy season.
View Article and Find Full Text PDFCancer Causes Control
September 2025
Department of Nursing Research, The Ohio State University Comprehensive Cancer Center Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, 460 W 10th Ave, Columbus, OH, 43210, USA.
Purpose: Understanding how place of residence affects cancer-related health risks is paramount to addressing health disparities in sexual and gender minority (SGM) cancer survivors. This study examined the associations between urbanicity and other social drivers of health on current tobacco and alcohol use in SGM cancer survivors.
Methods: The OUT: National Cancer Survey Study was a cross-sectional, online survey created by the National LGBT Cancer Network (NLCN) from September 2020 to March 2021, targeting U.
J Community Psychol
September 2025
Department of Psychology, Western University, London, Ontario, Canada.
The purpose of this study was to examine how loneliness relates to community size, participation and attitudes. We conducted two studies using three large-scale Canadian datasets (total N = 20,071). Community size was determined by census postal code areas, and loneliness, community participation and attitudes were evaluated by self-report ratings.
View Article and Find Full Text PDFThis study examined sociodemographic and health-related determinants of self-reported unmet health service needs to better understand the factors contributing to inequities among adults aged 50 and older during the COVID-19 pandemic in Latvia. Data from the longitudinal SHARE study-Corona Surveys 1 and 2, and Wave 8-were analysed using logistic regression. A total of 647 cases from Latvia (62.
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