The confluence of rapid population aging and the overwhelming desire of older adults to age in place begs the question: Do our cities support the health and well-being of aging populations? Using a neighbourhood-by-neighbourhood approach, this macro-scale investigation explores the "double risk" that many older adults live with - the potential of being disadvantaged by socio-demographic risk factors (being older, living alone, low income) and by living in an unsupportive built environment. It is an integration of what we know about supportive built form for older adults and applies this knowledge to Canadian cities, using a spectrum approach to classifying built environments. We found that most older adults with socio-demographic risk factors are living in unsupportive built environments in Canada; however, the distribution between built environments along the spectrum and between municipalities reveals a variegated landscape of double risk. Previous research suggests that unsupportive built environments can be supplemented with services, small-scale improvements in the built environment, and larger-scale retrofitting of neighbourhoods. Since the spatial distribution of vulnerability varies greatly within the 33 Canadian cities analysed, it highlights the need for this kind of inquiry to target age-friendly policy interventions.
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http://dx.doi.org/10.1017/S0714980823000429 | DOI Listing |
Sci Rep
January 2025
Hubei Key Laboratory of Biologic Resources Protection and Utilization, Hubei Minzu University, Enshi, 445000, Hubei Province, China.
As a key food production base, land use changes in the Jianghan Plain (JHP) significantly affect the surface landscape structure and ecological risks, posing challenges to food security. Assessing the ecological risk of the JHP, identifying its drivers, and predicting the risk trends under different scenarios can provide strategic support for ecological risk management and safeguarding food security in the JHP. In this study, the landscape ecological risk (LER) index was constructed by integrating landscape indices from 2000 to 2020, firstly analyzing its spatiotemporal characteristics, subsequently identifying the key influencing factors by using the GeoDetector model, and finally, simulating the risk changes under the four scenarios by using the Markov-PLUS model.
View Article and Find Full Text PDFPLoS One
January 2025
Faculty of Engineering (FOE), Multimedia University (MMU), Cyberjaya, Selangor, Malaysia.
Cancer and its diverse variations pose one of the most significant threats to human health and well-being. One of the most aggressive forms is blood cancer, originating from bone marrow cells and disrupting the production of normal blood cells. The incidence of blood cancer is steadily increasing, driven by both genetic and environmental factors.
View Article and Find Full Text PDFPLoS One
January 2025
School of Nursing, Wuhan University, Wuhan, China.
Objective: To construct a comprehensive physical exercise evaluation index system for asthmatic children aged 6-12 years.
Design: Based on knowledge-attitude-practice(KAP) theory, we constructed an item pool for a physical exercise evaluation index system using a literature review and semistructured interviews and refined the index system through two questionnaire cycles with Delphi experts.
Results: For the two questionnaire rounds, the recovery rate was 100%, the experts' authority coefficients were 0.
Environ Sci Technol
January 2025
Department of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts 02115, United States.
The natural, built, and social environments shape drinking water quality supplied by private wells. However, the combined effects of these factors are not well understood. Using North Carolina as a case study, we (i) estimate the demographic characteristics of the private well population; (ii) evaluate representation in well testing records; and (iii) demonstrate how spatial scale influences knowledge of well-using household demographics and representation in testing.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
College of Earth and Environmental Sciences, University of the Punjab, Lahore, 54000, Pakistan.
Rapid urbanization in Lahore has dramatically transformed land use and land cover (LULC), significantly impacting the city's thermal environment and intensifying climate change and sustainable development challenges. This study aims to examine the changes in the urban landscape of Lahore and their impact on the Urban thermal environment between 1990 and 2020. The previous studies conducted on Lahore lack the application of Geospatial artificial intelligence (GeoAI) to quantify land use and land cover, which is successfully covered in this study.
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