Avila-Palencia Ione, Sánchez Brisa N, Rodríguez Daniel A, Perez-Ferrer Carolina, Miranda J Jaime, Gouveia Nelson, Bilal Usama, Useche Andrés F, Wilches-Mogollon Maria A, Moore Kari, Sarmiento Olga L, Diez Roux Ana V
Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast BT12 6BA, Northern Ireland, UK.
Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA.
Sustainability. 2022 Nov 8;14(22):14715. doi: 10.3390/su142214715.
We investigated the association of urban landscape profiles with health and environmental outcomes, and whether those profiles are linked to environmental and health co-benefits. In this ecological study, we used data from 208 cities in 8 Latin American countries of the (SALURBAL) project. Four urban landscape profiles were defined with metrics for the fragmentation, isolation, and shape of patches (contiguous area of urban development). Four environmental measures (lack of greenness, PM, NO, and carbon footprint), two cause-specific mortality rates (non-communicable diseases and unintentional injury mortality), and prevalence of three risk factors (hypertension, diabetes, and obesity) for adults were used as the main outcomes. We used linear regression models to evaluate the association of urban landscape profiles with environmental and health outcomes. In addition, we used finite mixture modeling to create co-benefit classes. Cities with the scattered pixels profile (low fragmentation, high isolation, and compact shaped patches) were most likely to have positive co-benefits. Profiles described as proximate stones (moderate fragmentation, moderate isolation, and irregular shape) and proximate inkblots (moderate-high fragmentation, moderate isolation, and complex shape) were most likely to have negative co-benefits. The contiguous large inkblots profile (low fragmentation, low isolation, and complex shape) was most likely to have mixed benefits.
我们调查了城市景观特征与健康及环境结果之间的关联,以及这些特征是否与环境和健康协同效益相关。在这项生态学研究中,我们使用了拉丁美洲8个国家208个城市的数据(SALURBAL项目)。通过斑块(城市发展的连续区域)的破碎化、隔离度和形状指标定义了四种城市景观特征。四项环境指标(绿化不足、颗粒物、氮氧化物和碳足迹)、两种特定病因死亡率(非传染性疾病和意外伤害死亡率)以及成年人的三种风险因素(高血压、糖尿病和肥胖症)的患病率被用作主要结果。我们使用线性回归模型来评估城市景观特征与环境和健康结果之间的关联。此外,我们使用有限混合模型来创建协同效益类别。具有分散像素特征(低破碎化、高隔离度和紧凑形状斑块)的城市最有可能具有积极的协同效益。被描述为邻近石头(中等破碎化、中等隔离度和不规则形状)和邻近墨迹(中等至高破碎化、中等隔离度和复杂形状)的特征最有可能具有消极的协同效益。连续大墨迹特征(低破碎化、低隔离度和复杂形状)最有可能具有混合效益。