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      Associations of Urban Environment Features with Hypertension and Blood Pressure across 230 Latin American Cities

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          Abstract

          Background:

          Features of the urban physical environment may be linked to the development of high blood pressure, a leading risk factor for global burden of disease.

          Objectives:

          We examined associations of urban physical environment features with hypertension and blood pressure measures in adults across 230 Latin American cities.

          Methods:

          In this cross-sectional study we used health, social, and built environment data from the SALud URBana en América Latina (SALURBAL) project. The individual-level outcomes were hypertension and levels of systolic and diastolic blood pressure. The exposures were city and subcity built environment features, mass transit infrastructure, and green space. Odds ratios (ORs) and mean differences and 95% confidence intervals (CIs) were estimated using multilevel logistic and linear regression models, with single- and multiple-exposure models adjusted for individual-level age, sex, education, and subcity educational attainment.

          Results:

          A total of 109,176 participants from 230 cities and eight countries were included in the hypertension analyses and 50,228 participants from 194 cities and seven countries were included in the blood pressure measures analyses. Participants were 18–97 years of age. In multiple-exposure models, higher city fragmentation was associated with higher odds of having hypertension ( OR per standard deviation  ( SD )  increase = 1.11 ; 95% CI: 1.01, 1.21); presence (vs. no presence) of mass transit in the city was associated with higher odds of having hypertension ( OR = 1.30 ; 95% CI: 1.09, 1.54); higher subcity population density was associated with lower odds of having hypertension ( OR per SD increase = 0.90 ; 95% CI: 0.85, 0.94); and higher subcity intersection density was associated with higher odds of having hypertension [ OR per SD increase = 1.09 ; 95% CI: 1.04, 1.15). The presence of mass transit was also associated with slightly higher systolic and diastolic blood pressure in multiple-exposure models adjusted for treatment. Except for the association between intersection density and hypertension, associations were attenuated after adjustment for country. An inverse association of greenness with continuous blood pressure emerged after country adjustment.

          Discussion:

          Our results suggest that urban physical environment features—such as fragmentation, mass transit, population density, and intersection density—may be related to hypertension in Latin American cities. Reducing chronic disease risks in the growing urban areas of Latin America may require attention to integrated management of urban design and transport planning. https://doi.org/10.1289/EHP7870

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          Most cited references49

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          Is Open Access

          Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

          Summary Background The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk–outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk–outcome pairs, and new data on risk exposure levels and risk–outcome associations. Methods We used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk–outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017. Findings In 2017, 34·1 million (95% uncertainty interval [UI] 33·3–35·0) deaths and 1·21 billion (1·14–1·28) DALYs were attributable to GBD risk factors. Globally, 61·0% (59·6–62·4) of deaths and 48·3% (46·3–50·2) of DALYs were attributed to the GBD 2017 risk factors. When ranked by risk-attributable DALYs, high systolic blood pressure (SBP) was the leading risk factor, accounting for 10·4 million (9·39–11·5) deaths and 218 million (198–237) DALYs, followed by smoking (7·10 million [6·83–7·37] deaths and 182 million [173–193] DALYs), high fasting plasma glucose (6·53 million [5·23–8·23] deaths and 171 million [144–201] DALYs), high body-mass index (BMI; 4·72 million [2·99–6·70] deaths and 148 million [98·6–202] DALYs), and short gestation for birthweight (1·43 million [1·36–1·51] deaths and 139 million [131–147] DALYs). In total, risk-attributable DALYs declined by 4·9% (3·3–6·5) between 2007 and 2017. In the absence of demographic changes (ie, population growth and ageing), changes in risk exposure and risk-deleted DALYs would have led to a 23·5% decline in DALYs during that period. Conversely, in the absence of changes in risk exposure and risk-deleted DALYs, demographic changes would have led to an 18·6% increase in DALYs during that period. The ratios of observed risk exposure levels to exposure levels expected based on SDI (O/E ratios) increased globally for unsafe drinking water and household air pollution between 1990 and 2017. This result suggests that development is occurring more rapidly than are changes in the underlying risk structure in a population. Conversely, nearly universal declines in O/E ratios for smoking and alcohol use indicate that, for a given SDI, exposure to these risks is declining. In 2017, the leading Level 4 risk factor for age-standardised DALY rates was high SBP in four super-regions: central Europe, eastern Europe, and central Asia; north Africa and Middle East; south Asia; and southeast Asia, east Asia, and Oceania. The leading risk factor in the high-income super-region was smoking, in Latin America and Caribbean was high BMI, and in sub-Saharan Africa was unsafe sex. O/E ratios for unsafe sex in sub-Saharan Africa were notably high, and those for alcohol use in north Africa and the Middle East were notably low. Interpretation By quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning. Funding Bill & Melinda Gates Foundation.
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            Travel and the Built Environment

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              • Abstract: found
              • Article: not found

              Residential green spaces and mortality: A systematic review.

              A number of studies have associated natural outdoor environments with reduced mortality but there is no systematic review synthesizing the evidence.
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                Author and article information

                Journal
                Environ Health Perspect
                Environ Health Perspect
                EHP
                Environmental Health Perspectives
                Environmental Health Perspectives
                0091-6765
                1552-9924
                15 February 2022
                February 2022
                : 130
                : 2
                : 027010
                Affiliations
                [ 1 ]Urban Health Collaborative, Dornsife School of Public Health, Drexel University , Philadelphia, Pennsylvania, USA
                [ 2 ]Department of City and Regional Planning, University of California, Berkeley , Berkeley, California, USA
                [ 3 ]Institute for Transportation Studies, University of California, Berkeley , Berkeley, California, USA
                [ 4 ]CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia , Lima, Peru
                [ 5 ]Department of Preventive Medicine, University of Sao Paulo Medical School , Sao Paulo, Brazil
                [ 6 ]Institute of Urban and Regional Development, University of California, Berkeley , Berkeley, California, USA
                [ 7 ]Observatory for Urban Health, School of Medicine, Federal University of Minas Gerais , Belo Horizonte, Minas Gerals, Brazil
                Author notes
                Address correspondence to Ione Avila-Palencia, Urban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St., 717J, Philadelphia, PA 19104 USA. Telephone: (267) 359-6379. Email: ia384@ 123456drexel.edu
                Author information
                https://orcid.org/0000-0002-4353-2256
                https://orcid.org/0000-0001-6550-5518
                https://orcid.org/0000-0002-4738-5468
                https://orcid.org/0000-0001-8771-2593
                https://orcid.org/0000-0003-0625-0265
                https://orcid.org/0000-0001-9658-7050
                Article
                EHP7870
                10.1289/EHP7870
                8846315
                35167325
                895dc3b6-7b3c-44e0-801c-582b850d948f

                EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted.

                History
                : 09 July 2020
                : 27 December 2021
                : 13 January 2022
                Categories
                Research

                Public health
                Public health

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