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      City planning policies to support health and sustainability: an international comparison of policy indicators for 25 cities

      review-article
      , PhD a , * , , PhD c , , Prof, PhD d , e , , PhD f , , Prof, PhD d , g , , Prof, Dr es Sc i , , MPH j , , PhD k , , PhD j , , PhD l , , MS m , , MSc n , , PhD p , q , , PhD r , , MPH s , , PhD k , , MPH e , , PhD t , , PhD u , , MSc b , , MSc v , w , , Prof, PhD o , , Prof, PhD h , , Prof, PhD x , , MA y , , PhD z , , MSc aa , , MPP f , , Prof, PhD ab , , Prof, PhD w , ac , , Prof, PhD j , ad
      The Lancet. Global Health
      The Author(s). Published by Elsevier Ltd.
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          Abstract

          City planning policies influence urban lifestyles, health, and sustainability. We assessed policy frameworks for city planning for 25 cities across 19 lower-middle-income countries, upper-middle-income countries, and high-income countries to identify whether these policies supported the creation of healthy and sustainable cities. We systematically collected policy data for evidence-informed indicators related to integrated city planning, air pollution, destination accessibility, distribution of employment, demand management, design, density, distance to public transport, and transport infrastructure investment. Content analysis identified strengths, limitations, and gaps in policies, allowing us to draw comparisons between cities. We found that despite common policy rhetoric endorsing healthy and sustainable cities, there was a paucity of measurable policy targets in place to achieve these aspirations. Some policies were inconsistent with public health evidence, which sets up barriers to achieving healthy and sustainable urban environments. There is an urgent need to build capacity for health-enhancing city planning policy and governance, particularly in low-income and middle-income countries.

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          Most cited references58

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          Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

          Summary Background In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990–2010 time period, with the greatest annualised rate of decline occurring in the 0–9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10–24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10–24 years were also in the top ten in the 25–49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50–74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and development investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Funding Bill & Melinda Gates Foundation.
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            The measurement of observer agreement for categorical data.

            This paper presents a general statistical methodology for the analysis of multivariate categorical data arising from observer reliability studies. The procedure essentially involves the construction of functions of the observed proportions which are directed at the extent to which the observers agree among themselves and the construction of test statistics for hypotheses involving these functions. Tests for interobserver bias are presented in terms of first-order marginal homogeneity and measures of interobserver agreement are developed as generalized kappa-type statistics. These procedures are illustrated with a clinical diagnosis example from the epidemiological literature.
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              Closing the gap in a generation: health equity through action on the social determinants of health.

              The Commission on Social Determinants of Health, created to marshal the evidence on what can be done to promote health equity and to foster a global movement to achieve it, is a global collaboration of policy makers, researchers, and civil society, led by commissioners with a unique blend of political, academic, and advocacy experience. The focus of attention is on countries at all levels of income and development. The commission launched its final report on August 28, 2008. This paper summarises the key findings and recommendations; the full list is in the final report.
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                Author and article information

                Journal
                Lancet Glob Health
                Lancet Glob Health
                The Lancet. Global Health
                The Author(s). Published by Elsevier Ltd.
                2214-109X
                10 May 2022
                June 2022
                10 May 2022
                : 10
                : 6
                : e882-e894
                Affiliations
                [a ]Melbourne Centre for Cities, University of Melbourne, Melbourne, VIC, Australia
                [b ]Transport, Health and Urban Design Research Lab, Melbourne School of Design, University of Melbourne, Melbourne, VIC, Australia
                [c ]Department of Landscape Architecture and Environmental Planning, Natural Learning Initiative, College of Design, North Carolina State University, Raleigh, NC, USA
                [d ]Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
                [e ]Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, CA, USA
                [f ]Prevention Research Center, Brown School, Washington University in St Louis, St Louis, MO, USA
                [g ]School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
                [h ]Department of Geography, The University of Hong Kong, Hong Kong Special Administrative Region, China
                [i ]Department of Urban Planning and Design, Urban Form Lab, University of Washington, Seattle, WA, USA
                [j ]Healthy Liveable Cities Lab, RMIT University, Melbourne, VIC, Australia
                [k ]Human Potential Centre, School of Sport and Recreation, Auckland University of Technology, Auckland, New Zealand
                [l ]Department of Urban Planning and Spatial Analysis, Sol Price School of Public Policy, University of Southern California, Los Angeles, CA, USA
                [m ]School of Public Policy and Urban Affairs, Northeastern University, Boston, MA, USA
                [n ]City Planning and Design, School of Natural and Built Environment, Queen's University Belfast, Belfast, UK
                [o ]Centre for Public Health, Queen's University Belfast, Belfast, UK
                [p ]Australian Centre for Public and Population Health Research, School of Public Health, Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia
                [q ]Prevention Research Collaboration, School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
                [r ]Sport and Physical Activity Research Group, Centre for Health and Social Care Research, University of Vic—Central University of Catalonia, Vic, Spain
                [s ]Healthstrong—Medibank, Mildura, VIC, Australia
                [t ]Faculty of Physical Culture, Palacký University Olomouc, Olomouc, Czech Republic
                [u ]School of Arts, Sciences and Humanities, University of São Paulo, São Paulo, Brazil
                [v ]College of Health Solutions, Arizona State University, Phoenix, AZ, USA
                [w ]Department of Geography, Ghent University, Ghent, Belgium
                [x ]AFIPS Research Group, Department of Musical, Visual and Corporal Expression Teaching, University of Valencia, Valencia, Spain
                [y ]Office of the Permanent Secretary for the Bangkok Metropolitan Administration, Bangkok, Thailand
                [z ]Department of Physiotherapy, University of Maiduguri, Maiduguri, Nigeria
                [aa ]Research Centre for Architecture, Urbanism and Design (CIAUD), Lisbon School of Architecture, University of Lisbon, Lisbon, Portugal
                [ab ]Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
                [ac ]Department of Geography, University of Tartu, Tartu, Estonia
                [ad ]School of Population Health, The University of Western Australia, Perth, WA, Australia
                Author notes
                [* ]Correspondence to: Dr Melanie Lowe, Melbourne Centre for Cities, University of Melbourne, Melbourne, VIC 3010, Australia
                Article
                S2214-109X(22)00069-9
                10.1016/S2214-109X(22)00069-9
                9906636
                35561723
                e6283777-c981-4c7f-b42f-fcf698d96757
                © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

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