| scholarly article | Q13442814 |
| P6179 | Dimensions Publication ID | 1039840887 |
| P356 | DOI | 10.1186/S13104-015-1482-4 |
| P932 | PMC publication ID | 4588464 |
| P698 | PubMed publication ID | 26420471 |
| P5875 | ResearchGate publication ID | 282355633 |
| P50 | author | Gina S Lovasi | Q57289823 |
| P2093 | author name string | Andrew Rundle | |
| Daniel M Sheehan | |||
| Darby Jack | |||
| Kathryn M Neckerman | |||
| Michael D M Bader | |||
| Tanya K Kaufman | |||
| P2860 | cites work | Compendium of physical activities: an update of activity codes and MET intensities | Q28138955 |
| Fast food restaurants and food stores: longitudinal associations with diet in young to middle-aged adults: the CARDIA study | Q28243007 | ||
| Using Google Street View to audit neighborhood environments | Q28386012 | ||
| Characterizing the food retail environment: impact of count, type, and geospatial error in 2 secondary data sources. | Q30615853 | ||
| Filling the gaps: spatial interpolation of residential survey data in the estimation of neighborhood characteristics | Q31115666 | ||
| The neighborhood food environment: sources of historical data on retail food stores | Q33250434 | ||
| Inequality in the built environment underlies key health disparities in physical activity and obesity | Q50117110 | ||
| The role of local food availability in explaining obesity risk among young school-aged children. | Q50960319 | ||
| Neighborhood resources for physical activity and healthy foods and their association with insulin resistance. | Q51457630 | ||
| Investigating neighborhood and area effects on health | Q77088486 | ||
| Associations of neighborhood characteristics with the location and type of food stores | Q82097683 | ||
| Field validation of listings of food stores and commercial physical activity establishments from secondary data | Q33383639 | ||
| Measurement of the local food environment: a comparison of existing data sources | Q33528367 | ||
| Concordance of commercial data sources for neighborhood-effects studies | Q33580339 | ||
| Measuring the built environment for physical activity: state of the science | Q33748329 | ||
| Zoning for health? The year-old ban on new fast-food restaurants in South LA. | Q33835772 | ||
| More neighborhood retail associated with lower obesity among New York City public high school students | Q33869952 | ||
| Steps Forward: Review and Recommendations for Research on Walkability, Physical Activity and Cardiovascular Health | Q34193367 | ||
| Association of neighborhood characteristics with cardiovascular health in the multi-ethnic study of atherosclerosis | Q34231190 | ||
| Where can they play? Outdoor spaces and physical activity among adolescents in U.S. urbanized areas | Q34231777 | ||
| Changes in the built environment and changes in the amount of walking over time: longitudinal results from the multi-ethnic study of atherosclerosis | Q34300566 | ||
| Neighborhood influences on recreational physical activity and survival after breast cancer | Q34325031 | ||
| Validation of 3 food outlet databases: completeness and geospatial accuracy in rural and urban food environments | Q34349474 | ||
| Built environment change and change in BMI and waist circumference: Multi-ethnic Study of Atherosclerosis | Q34475467 | ||
| Finding food: Issues and challenges in using Geographic Information Systems to measure food access | Q35156467 | ||
| Socioeconomic Disparities in Health Behaviors | Q35204847 | ||
| Youth destinations associated with objective measures of physical activity in adolescents | Q35678765 | ||
| The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology | Q35690786 | ||
| Comparing a single-stage geocoding method to a multi-stage geocoding method: how much and where do they disagree? | Q35719965 | ||
| School and residential neighborhood food environment and diet among California youth | Q35819977 | ||
| Obesogenic environments in youth: concepts and methods from a longitudinal national sample | Q36055292 | ||
| Can the physical environment determine physical activity levels? | Q36094123 | ||
| Addressing the proximal causes of obesity: the relevance of alcohol control policies. | Q36202815 | ||
| Improving retrospective characterization of the food environment for a large region in the United States during a historic time period | Q36409714 | ||
| Validation of a GIS facilities database: quantification and implications of error | Q36724808 | ||
| Weight status and restaurant availability a multilevel analysis | Q36736895 | ||
| Retail redlining in New York City: racialized access to day-to-day retail resources | Q37067859 | ||
| Neighborhood food environment and walkability predict obesity in New York City | Q37142348 | ||
| A new tool for epidemiology: the usefulness of dynamic-agent models in understanding place effects on health | Q37163750 | ||
| Neighborhood environments: disparities in access to healthy foods in the U.S. | Q37314572 | ||
| Cumulative exposure to neighborhood context: consequences for health transitions over the adult life course. | Q37509644 | ||
| The availability of local-area commercial physical activity-related facilities and physical activity among adolescents. | Q38394228 | ||
| Neighbourhood food environments and body mass index among New York City adults. | Q41647600 | ||
| Income and racial disparities in access to public parks and private recreation facilities | Q42639840 | ||
| Food prices, access to food outlets and child weight | Q43527376 | ||
| Cardiac arrest at exercise facilities: implications for placement of automated external defibrillators | Q45025617 | ||
| P4510 | describes a project that uses | ArcGIS | Q513297 |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | 507 | |
| P577 | publication date | 2015-09-29 | |
| P1433 | published in | BMC Research Notes | Q15762797 |
| P1476 | title | Measuring health-relevant businesses over 21 years: refining the National Establishment Time-Series (NETS), a dynamic longitudinal data set. | |
| P478 | volume | 8 |
| Q40410223 | How much are built environments changing, and where?: Patterns of change by neighborhood sociodemographic characteristics across seven U.S. metropolitan areas |
| Q90598207 | Medical facilities in the neighborhood and incidence of sudden cardiac arrest |
| Q47586465 | Neighborhood Physical Environment and Changes in Body Mass Index: Results From the Multi-Ethnic Study of Atherosclerosis |
| Q99558181 | Neighborhood context and kidney disease in Philadelphia |
Search more.