According to the United Nations, the proportion of the older population is increasing at a faster rate than all other age groups. Hence, the well-being of older adults is a mounting concern worldwide in the current century. Using a single greenery metric, previous studies linked greenness to residents' well-being. This study aims to extend this field by focusing on the mental and physical well-being of older adults by using remote sensing and streetscape metrics in evaluating neighborhood greenness. We selected 20 residential neighborhoods in Guangzhou City, China as the cross-sectional case study areas. We investigated neighborhood normalized difference vegetation index (NDVI) collected using remote sensing images, streetscape greenery, and PM2.5 via field surveys. We assessed the health condition of 972 senior residents selected by multi-stage stratified probability proportionate to population size sampling technique (PPS) using a questionnaire survey. We adopted the structural equation model (SEM) in analyzing the pathways that link neighborhood greenness and the mental and physical health of older adults. We found that neighborhood greenness has a positive association with the physical activity by older adults that is positively linked to their physical health. Moreover, neighborhood greenness is positively related to regular social interactions among older adults that is positively linked to their mental health. These findings are consistent with those of previous studies. However, we obtained new results that were unique to China. We found that neighborhood greenness has no significant direct relationship with the physical and mental health of older adults and that social interactions of low-income senior groups are more substantially related to neighborhood greenness than the other groups. Therefore, community planning should emphasize the development of neighborhood greenness, such as parks and street trees, to provide natural spaces for social interactions and places for physical activities among older residents.
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http://dx.doi.org/10.3389/fpubh.2020.551453 | DOI Listing |
BMJ Open
January 2025
Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.
Objectives: To evaluate the effectiveness of localised Tier 3 restrictions, implemented in England in December 2020, on reducing COVID-19 hospitalisations compared with less stringent Tier 2 measures and the variations by neighbourhood deprivation and the prevalence of Alpha (B.1.1.
View Article and Find Full Text PDFEnviron Res
December 2024
Center for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany; University Medical Center Hamburg-Eppendorf, Clinic and Policlinic for Psychiatry and Psychotherapy, Hamburg, Germany; Max Planck-UCL Center for Computational Psychiatry and Ageing Research, Germany. Electronic address:
It is by now well known that the physical living environment has a major impact on people's life, but the neural structures involved in this relationship remain to be explored. Most studies investigating this relationship only focus on single environmental predictors. In order to understand how the multitude of factors constituting the living environment relate to brain structure we used data from the UK Biobank (n = 21,094; age Mean = 63.
View Article and Find Full Text PDFSci Rep
December 2024
Wuhan Fiberhome Technical Services Co., Ltd, Wuhan, 430205, China.
Feature selection (FS) is a significant dimensionality reduction technique, which can effectively remove redundant features. Metaheuristic algorithms have been widely employed in FS, and have obtained satisfactory performance, among them, grey wolf optimizer (GWO) has received widespread attention. However, the GWO and its variants suffer from limited adaptability, poor diversity, and low accuracy when faced with high-dimensional data.
View Article and Find Full Text PDFFront Public Health
December 2024
School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou, China.
Introduction: With the continuous development of the global aging trend, the mental health of older adults has been a concern by the world. The living space of older adults is limited due to the decline of their activity function. Neighborhood environment, especially the neighborhood social environment, has become an important factor affecting the mental health of older adults.
View Article and Find Full Text PDFEcotoxicol Environ Saf
December 2024
Department of Hygienic Toxicology, School of Public Health, Harbin Medical University, 157 Baojian Road, NanGang District, Harbin, Heilongjiang 150081, PR China. Electronic address:
Objective: We investigated the associations between urban green and blue spaces and the incidence of accelerated ageing, which have rarely been studied.
Methods: Analyzed UK Biobank data (2006-2010) on 440,785 participants, focusing on urban green and blue space (UGBS). General linear models and logistics models assessed links between UGBS and accelerated ageing (Klemera-Doubal method, telomere length and frailty).
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