| scholarly article | Q13442814 |
| P50 | author | Barry Popkin | Q15429692 |
| Penny Gordon-Larsen | Q47156571 | ||
| Janne Boone-Heinonen | Q47156586 | ||
| P2093 | author name string | James D Stewart | |
| P2860 | cites work | Positional error in automated geocoding of residential addresses | Q24792052 |
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| Tips for learners of evidence-based medicine: 3. Measures of observer variability (kappa statistic). | Q40357543 | ||
| Psychosocial and environmental factors associated with physical activity among city dwellers in regional Queensland. | Q40470104 | ||
| Inequality in the built environment underlies key health disparities in physical activity and obesity | Q50117110 | ||
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| The relative influence of individual, social and physical environment determinants of physical activity | Q62897377 | ||
| Neighborhood environment, access to places for activity, and leisure-time physical activity in a diverse North Carolina population | Q78754402 | ||
| P4510 | describes a project that uses | ArcGIS | Q513297 |
| P433 | issue | 5 | |
| P921 | main subject | database | Q8513 |
| P304 | page(s) | 371-377 | |
| P577 | publication date | 2008-02-08 | |
| P1433 | published in | Annals of Epidemiology | Q4767848 |
| P1476 | title | Validation of a GIS facilities database: quantification and implications of error | |
| P478 | volume | 18 |
| Q35585235 | A direct assessment of "obesogenic" built environments: challenges and recommendations |
| Q31159786 | Applications of geographic information systems (GIS) data and methods in obesity-related research |
| Q48140447 | Are Perceived and Objective Distances to Fresh Food and Physical Activity Resources Associated with Cardiometabolic Risk? |
| Q30566198 | Are your asset data as good as you think? Conducting a comprehensive census of built assets to improve urban population health |
| Q39308928 | Built Environment and Depression in Low-Income African Americans and Whites |
| Q35154576 | Built and socioeconomic environments: patterning and associations with physical activity in U.S. adolescents |
| Q31107018 | Completeness and Reliability of Location Data Collected on the Web: Assessing the Quality of Self-Reported Locations in an Internet Sample of Men Who Have Sex With Men. |
| Q33580339 | Concordance of commercial data sources for neighborhood-effects studies |
| Q35991549 | Disparities in physical activity resource availability in six US regions |
| Q33638057 | Effects of buffer size and shape on associations between the built environment and energy balance |
| Q28243007 | Fast food restaurants and food stores: longitudinal associations with diet in young to middle-aged adults: the CARDIA study |
| Q33383639 | Field validation of listings of food stores and commercial physical activity establishments from secondary data |
| Q30803101 | Field validation of secondary data sources for enumerating retail tobacco outlets in a state without tobacco outlet licensing |
| Q40259135 | Geoprocessing via google maps for assessing obesogenic built environments related to physical activity and chronic noncommunicable diseases: validity and reliability |
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| Q35124641 | How important is the land use mix measure in understanding walking behaviour? Results from the RESIDE study |
| Q40410223 | How much are built environments changing, and where?: Patterns of change by neighborhood sociodemographic characteristics across seven U.S. metropolitan areas |
| Q34062953 | Improving data accuracy of commercial food outlet databases |
| Q34687441 | Life stage and sex specificity in relationships between the built and socioeconomic environments and physical activity |
| Q37491104 | Longitudinal associations between neighborhood recreational facilities and change in recreational physical activity in the multi-ethnic study of atherosclerosis, 2000-2007 |
| Q33528367 | Measurement of the local food environment: a comparison of existing data sources |
| Q30999355 | Measuring health-relevant businesses over 21 years: refining the National Establishment Time-Series (NETS), a dynamic longitudinal data set. |
| Q33748329 | Measuring the built environment for physical activity: state of the science |
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| Q37424561 | Mixed land use and walkability: Variations in land use measures and relationships with BMI, overweight, and obesity |
| Q38145487 | Monitoring the availability of healthy and unhealthy foods and non-alcoholic beverages in community and consumer retail food environments globally |
| Q39023794 | Multicontextual correlates of energy-dense, nutrient-poor snack food consumption by adolescents |
| Q47586465 | Neighborhood Physical Environment and Changes in Body Mass Index: Results From the Multi-Ethnic Study of Atherosclerosis |
| Q39052723 | Neighborhood social and physical environments and type 2 diabetes mellitus in African Americans: The Jackson Heart Study |
| Q34614975 | Neighborhood socioeconomic status and food environment: a 20-year longitudinal latent class analysis among CARDIA participants |
| Q36233159 | Neighborhood walkability and particulate air pollution in a nationwide cohort of women |
| Q36055292 | Obesogenic environments in youth: concepts and methods from a longitudinal national sample |
| Q55191819 | Quantifying the Error Associated with Alternative GIS-based Techniques to Measure Access to Health Care Services. |
| Q36371164 | Racial differences in the built environment--body mass index relationship? A geospatial analysis of adolescents in urban neighborhoods |
| Q34221943 | Residential self-selection bias in the estimation of built environment effects on physical activity between adolescence and young adulthood |
| Q33853666 | The Census of Social Institutions (CSI): a public health direct observation measure of local land use. |
| Q35537926 | The association between neighborhood economic hardship, the retail food environment, fast food intake, and obesity: findings from the Survey of the Health of Wisconsin |
| Q37072247 | The built environment and depressive symptoms among urban youth: A spatial regression study |
| Q50126794 | The context of context: Examining the associations between healthy and unhealthy measures of neighborhood food, physical activity, and social environments |
| Q37067853 | The geography of recreational open space: influence of neighborhood racial composition and neighborhood poverty |
| Q38376514 | The interaction between physical activity and obesity gene variants in association with BMI: Does the obesogenic environment matter? |
| Q35081136 | The neighborhood energy balance equation: does neighborhood food retail environment + physical activity environment = obesity? The CARDIA study |
| Q35122054 | Using Geographic Information Systems (GIS) to assess the role of the built environment in influencing obesity: a glossary |
| Q30642179 | Using geographic information systems to compare municipal, county, and commercial parks data |
| Q34349474 | Validation of 3 food outlet databases: completeness and geospatial accuracy in rural and urban food environments |
| Q35575966 | Validation of the normalized difference vegetation index as a measure of neighborhood greenness |
| Q35586156 | Validation of walk score for estimating neighborhood walkability: an analysis of four US metropolitan areas |
| Q30667818 | Validity of secondary retail food outlet data: a systematic review |
| Q34421226 | What neighborhood area captures built environment features related to adolescent physical activity? |
| Q57198047 | Where Do Children Travel to and What Local Opportunities Are Available? The Relationship Between Neighborhood Destinations and Children’s Independent Mobility |
| Q34231777 | Where can they play? Outdoor spaces and physical activity among adolescents in U.S. urbanized areas |
| Q35678765 | Youth destinations associated with objective measures of physical activity in adolescents |
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