Built environment and mortality risk from cardiovascular disease and diabetes in Medellín, Colombia: An ecological study

Patiño, Jorge E.; Hong, Andy; Duque, Juan Carlos; Rahimi, Kazem; Zapata, Silvana; Lopera, Veronica

doi:10.1016/j.landurbplan.2021.104126

Cited by 16 publications

(7 citation statements)

References 61 publications

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“…A recent study conducted in Medellín by Patino et al [46], assessed the effect of built environment and mortality risk from cardiovascular disease and diabetes during 2016-2017 using the neighborhood as the geographical unit of analysis. They included design and density variables to capture the built environment and included the household strata as the socioeconomic covariate in the models.…”

Section: Discussionmentioning

confidence: 99%

Intraurban Geographic and Socioeconomic Inequalities of Mortality in Four Cities in Colombia

Villamizar

Marín

Piñeros-Jiménez

et al. 2023

IJERPH

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Mortality inequalities have been described across Latin American countries, but less is known about inequalities within cities, where most populations live. We aimed to identify geographic and socioeconomic inequalities in mortality within the urban areas of four main cities in Colombia. We analyzed mortality due to non-violent causes of diseases in adults between 2015 and 2019 using census sectors as unit of analysis in Barranquilla, Bogotá, Cali, and Medellín. We calculated smoothed Bayesian mortality rates as main health outcomes and used concentration indexes (CInd) for assessing inequalities using the multidimensional poverty index (MPI) as the socioeconomic measure. Moran eigenvector spatial filters were calculated to capture the spatial patterns of mortality and then used in multivariable models of the association between mortality rates and quintiles of MPI. Social inequalities were evident but not consistent across cities. The most disadvantaged groups showed the highest mortality rates in Cali. Geographic inequalities in mortality rates, regardless of the adults and poverty distribution, were identified in each city, suggesting that other social, environmental, or individual conditions are impacting the spatial distribution of mortality rates within the four cities.

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Section: Discussionmentioning

confidence: 99%

Intraurban Geographic and Socioeconomic Inequalities of Mortality in Four Cities in Colombia

Villamizar

Marín

Piñeros-Jiménez

et al. 2023

IJERPH

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“…We followed three main steps to investigate the in uence of urban built environment on cardiovascular diseases. First, we reviewed the existing literature and identi ed the indicators of built environment elements that affect cardiovascular diseases 33,41,42 . We then collected and processed the relevant data for these indicators.…”

Section: Methodsmentioning

confidence: 99%

The influence mechanism of urban built environment on cardiovascular diseases

Deng,

Liang,

Peng

et al. 2024

Preprint

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Cardiovascular diseases (CVDs) are a major public health concern, and their morbidity is influenced by various built environment elements. This paper aims to investigate the influence mechanisms of different built environment elements on CVDs, and to provide a theoretical foundation for health-oriented urban planning and CVD prevention. We selected the Xixiangtang built-up area of Nanning city as the case study area, and used the distribution data of CVDs and urban point of interests (POIs) as the main data sources. We applied spatial autocorrelation analysis, kernel density analysis, and geographic detector methods to examine the spatial correlation and influence of urban built environment elements on CVD samples. The results show that both the built environment elements and the CVD samples have a spatially clustered distribution, and there is a significant positive correlation between the distribution density of each environmental element and the CVD morbidity. Among the environmental elements, medical care has the largest influence on CVDs, followed by shopping consumption, catering and food, and transportation facilities, while parks and squares and the road network have relatively small influence.

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“…Third, the land use map is indicating the main land use purpose, but the veracity at the building level is unknown. Adjusting the land use data with ancillary data such as establishments in this study or points of interest from Open Street Maps, could improve the calculation of occupancy rates and thus the categorical approach [62]. And fourth, by testing and including new covariates that provide relevant information on the distribution of population in different urban configurations and better explain their statistical relationships independently of the spatial unit.…”

Section: Plos Onementioning

confidence: 99%

Empiric recommendations for population disaggregation under different data scenarios

et al. 2022

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High-resolution population mapping is of high relevance for developing and implementing tailored actions in several fields: From decision making in crisis management to urban planning. Earth Observation has considerably contributed to the development of methods for disaggregating population figures with higher resolution data into fine-grained population maps. However, which method is most suitable on the basis of the available data, and how the spatial units and accuracy metrics affect the validation process is not fully known. We aim to provide recommendations to researches that attempt to produce high-resolution population maps using remote sensing and geospatial information in heterogeneous urban landscapes. For this purpose, we performed a comprehensive experimental research on population disaggregation methods with thirty-six different scenarios. We combined five different top-down methods (from basic to complex, i.e., binary and categorical dasymetric, statistical, and binary and categorical hybrid approaches) on different subsets of data with diverse resolutions and degrees of availability (poor, average and rich). Then, the resulting population maps were systematically validated with a two-fold approach using six accuracy metrics. We found that when only using remotely sensed data the combination of statistical and dasymetric methods provide better results, while highly-resolved data require simpler methods. Besides, the use of at least three relative accuracy metrics is highly encouraged since the validation depends on level and method. We also analysed the behaviour of relative errors and how they are affected by the heterogeneity of the urban landscape. We hope that our recommendations save additional efforts and time in future population mapping.

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Built environment and mortality risk from cardiovascular disease and diabetes in Medellín, Colombia: An ecological study

Cited by 16 publications

References 61 publications

Intraurban Geographic and Socioeconomic Inequalities of Mortality in Four Cities in Colombia

Intraurban Geographic and Socioeconomic Inequalities of Mortality in Four Cities in Colombia

The influence mechanism of urban built environment on cardiovascular diseases

Empiric recommendations for population disaggregation under different data scenarios

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