A multicomponent index method to evaluate the relationship between urban environment and CHD prevalence

[1]  Danlin Yu,et al.  Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China , 2022, Land Use Policy.

[2]  A. Nelson,et al.  Ten things to know about ten cardiovascular disease risk factors – 2022 , 2022, American journal of preventive cardiology.

[3]  Dong Dong,et al.  Analysis of Spatial Distribution of CVD and Multiple Environmental Factors in Urban Residents , 2022, Computational intelligence and neuroscience.

[4]  T. Barrientos-Gutiérrez,et al.  Changes in the Retail Food Environment in Mexican Cities and Their Association with Blood Pressure Outcomes , 2022, International journal of environmental research and public health.

[5]  M. Lazo,et al.  Accessibility and availability of alcohol outlets around schools: An ecological study in the city of madrid, Spain, according to socioeconomic area-level. , 2021, Environmental research.

[6]  Hao Zheng,et al.  A POI-Based Machine Learning Method for Predicting Residents’ Health Status , 2021, Proceedings of the 2021 DigitalFUTURES.

[7]  Jungsoon Choi,et al.  Objectively Measured Built Environments and Cardiovascular Diseases in Middle-Aged and Older Korean Adults , 2021, International journal of environmental research and public health.

[8]  M. Keats,et al.  Regional Comparisons of Associations Between Physical Activity Levels and Cardiovascular Disease: The Story of Atlantic Canada , 2021, CJC open.

[9]  C. Zimmer,et al.  Developing an index to estimate the association between the food environment and CVD mortality rates. , 2020, Health & place.

[10]  L. Yao,et al.  Spatiotemporal Big Data for PM2.5 Exposure and Health Risk Assessment during COVID-19 , 2020, International journal of environmental research and public health.

[11]  D. Pieper,et al.  Are patients willing to accept longer travel times to decrease their risk associated with surgical procedures? A systematic review , 2020, BMC Public Health.

[12]  D. Griffith.  Spatial Autocorrelation , 2020, Spatial Analysis Methods and Practice.

[13]  Abdullah A. Alshehri,et al.  Impact of the Pharmacist-Led Intervention on the Control of Medical Cardiovascular Risk Factors for the Primary Prevention of Cardiovascular Disease in General Practice: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. , 2019, British journal of clinical pharmacology.

[14]  Andrew T. Kaczynski,et al.  Development and testing of a multicomponent obesogenic built environment measure for youth using kernel density estimations , 2019, Health & place.

[15]  O. Klein,et al.  A multicomponent method assessing healthy cardiovascular urban environments: The Heart Healthy Hoods Index , 2019, Health & place.

[16]  J. Pearce,et al.  Regulating the local availability of tobacco retailing in Madrid, Spain: a GIS study to evaluate compliance , 2018, Tobacco Control.

[17]  C. Griffiths,et al.  Associations between the combined physical activity environment, socioeconomic status, and obesity: a cross-sectional study , 2018, Perspectives in public health.

[18]  A. Bhatnagar.  Environmental Determinants of Cardiovascular Disease. , 2017, Circulation research.

[19]  R. Hajar.  Risk Factors for Coronary Artery Disease: Historical Perspectives , 2017, Heart views : the official journal of the Gulf Heart Association.

[20]  H. Badland,et al.  Intersection of neighborhood dynamics and socioeconomic status in small-area walkability: the Heart Healthy Hoods project , 2017, International Journal of Health Geographics.

[21]  E. Delmelle,et al.  Advances in spatial epidemiology and geographic information systems. , 2017, Annals of epidemiology.

[22]  Luc Anselin,et al.  Spatial Regression , 2017, Encyclopedia of GIS.

[23]  Pedro Gullón,et al.  Population cardiovascular health and urban environments: the Heart Healthy Hoods exploratory study in Madrid, Spain , 2016, BMC Medical Research Methodology.

[24]  T. Glass,et al.  Understanding differences in the local food environment across countries: A case study in Madrid (Spain) and Baltimore (USA). , 2016, Preventive medicine.

[25]  P. O’Campo,et al.  Cross-sectional associations between residential environmental exposures and cardiovascular diseases , 2015, BMC Public Health.

[26]  Daniel Levy,et al.  The Framingham Heart Study and the epidemiology of cardiovascular disease: a historical perspective , 2014, The Lancet.

[27]  B. M. Reddy,et al.  Current status of understanding of the genetic etiology of coronary heart disease. , 2013, Journal of postgraduate medicine.

[28]  Hélène Charreire,et al.  Measuring the food environment using geographical information systems: a methodological review , 2010, Public Health Nutrition.

[29]  K. Bennett,et al.  Explaining the decline in coronary heart disease mortality in Italy between 1980 and 2000 , 2006 .

[30]  Catherine Pope,et al.  Does distance matter? Geographical variation in GP out-of-hours service use: an observational study. , 2008, The British journal of general practice : the journal of the Royal College of General Practitioners.

[31]  A. Wolk,et al.  Combined effect of low-risk dietary and lifestyle behaviors in primary prevention of myocardial infarction in women. , 2007, Archives of internal medicine.

[32]  Simon Capewell,et al.  Explaining the decrease in U.S. deaths from coronary disease, 1980-2000. , 2007, The New England journal of medicine.

[33]  E. Rimm,et al.  Healthy Lifestyle Factors in the Primary Prevention of Coronary Heart Disease Among Men: Benefits Among Users and Nonusers of Lipid-Lowering and Antihypertensive Medications , 2006, Circulation.

[34]  S. Yusuf,et al.  Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study , 2004, The Lancet.

[35]  Diane E. Allan,et al.  Examining Distance Effects on Hospitalizations Using GIS: A Study of Three Health Regions in British Columbia, Canada , 2002 .

[36]  A. Kant.  Consumption of energy-dense, nutrient-poor foods by adult Americans: nutritional and health implications. The third National Health and Nutrition Examination Survey, 1988-1994. , 2000, The American journal of clinical nutrition.

[37]  O. Nanni,et al.  Food groups and risk of colorectal cancer in Italy , 1997, International journal of cancer.

[38]  W. Gesler,et al.  Patterns of Illness and Hospital Use in Central Harlem Health District , 1985 .

[39]  T. Dawber,et al.  II. Coronary Heart Disease in the Framingham Study , 1957 .