This paper is in the following e-collection/theme issue:

Non-Randomized Study Protocols and Methods (Non-eHealth) (572)

Published on in Vol 9, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21377, first published .
The Diabetes Location, Environmental Attributes, and Disparities Network: Protocol for Nested Case Control and Cohort Studies, Rationale, and Baseline Characteristics

The Diabetes Location, Environmental Attributes, and Disparities Network: Protocol for Nested Case Control and Cohort Studies, Rationale, and Baseline Characteristics

The Diabetes Location, Environmental Attributes, and Disparities Network: Protocol for Nested Case Control and Cohort Studies, Rationale, and Baseline Characteristics

Authors of this article:

Annemarie G Hirsch1 Author Orcid Image ;   April P Carson2 Author Orcid Image ;   Nora L Lee3 Author Orcid Image ;   Tara McAlexander3 Author Orcid Image ;   Carla Mercado4 Author Orcid Image ;   Karen Siegel4 Author Orcid Image ;   Nyesha C Black5 Author Orcid Image ;   Brian Elbel6 Author Orcid Image ;   D Leann Long7 Author Orcid Image ;   Priscilla Lopez6 Author Orcid Image ;   Leslie A McClure3 Author Orcid Image ;   Melissa N Poulsen1 Author Orcid Image ;   Brian S Schwartz1, 8 Author Orcid Image ;   Lorna E Thorpe6 Author Orcid Image
Article Authors Cited by (21) Tweetations (2) Metrics

Journals

  1. Poulsen M, Schwartz B, Nordberg C, DeWalle J, Pollak J, Imperatore G, Mercado C, Siegel K, Hirsch A. Association of Greenness with Blood Pressure among Individuals with Type 2 Diabetes across Rural to Urban Community Types in Pennsylvania, USA. International Journal of Environmental Research and Public Health 2021;18(2):614 View
  2. Rummo P, Algur Y, McAlexander T, Judd S, Lopez P, Adhikari S, Brown J, Meeker M, McClure L, Elbel B. Comparing competing geospatial measures to capture the relationship between the neighborhood food environment and diet. Annals of Epidemiology 2021;61:1 View
  3. Hirsch A, Nordberg C, Chang A, Poulsen M, Moon K, Siegel K, Rolka D, Schwartz B. Association of community socioeconomic deprivation with evidence of reduced kidney function at time of type 2 diabetes diagnosis. SSM - Population Health 2021;15:100876 View
  4. McAlexander T, Malla G, Uddin J, Lee D, Schwartz B, Rolka D, Siegel K, Kanchi R, Pollak J, Andes L, Carson A, Thorpe L, McClure L. Urban and rural differences in new onset type 2 diabetes: Comparisons across national and regional samples in the diabetes LEAD network. SSM - Population Health 2022;19:101161 View
  5. Kanchi R, Lopez P, Rummo P, Lee D, Adhikari S, Schwartz M, Avramovic S, Siegel K, Rolka D, Imperatore G, Elbel B, Thorpe L. Longitudinal Analysis of Neighborhood Food Environment and Diabetes Risk in the Veterans Administration Diabetes Risk Cohort. JAMA Network Open 2021;4(10):e2130789 View
  6. Thorpe L, Adhikari S, Lopez P, Kanchi R, McClure L, Hirsch A, Howell C, Zhu A, Alemi F, Rummo P, Ogburn E, Algur Y, Nordberg C, Poulsen M, Long L, Carson A, DeSilva S, Meeker M, Schwartz B, Lee D, Siegel K, Imperatore G, Elbel B. Neighborhood Socioeconomic Environment and Risk of Type 2 Diabetes: Associations and Mediation Through Food Environment Pathways in Three Independent Study Samples. Diabetes Care 2022;45(4):798 View
  7. Singh G, DeWalle J, Tanriover B, Singh N, Chang A, Anand P. Effect of age and rural residency on perceptions about SARS‐CoV‐2 pandemic and vaccination in kidney transplant recipients. Transplant Infectious Disease 2022;24(6) View
  8. India-Aldana S, Kanchi R, Adhikari S, Lopez P, Schwartz M, Elbel B, Rummo P, Meeker M, Lovasi G, Siegel K, Chen Y, Thorpe L. Impact of land use and food environment on risk of type 2 diabetes: A national study of veterans, 2008–2018. Environmental Research 2022;212:113146 View
  9. Adhikari S, Titus A, Baum A, Lopez P, Kanchi R, Orstad S, Elbel B, Lee D, Thorpe L, Schwartz M. Disparities in routine healthcare utilization disruptions during COVID-19 pandemic among veterans with type 2 diabetes. BMC Health Services Research 2023;23(1) View
  10. Meeker M, Schwartz B, Bandeen‐Roche K, Hirsch A, De Silva S, McAlexander T, Black N, McClure L. Assessing Measurement Invariance of a Land Use Environment Construct Across Levels of Urbanicity. GeoHealth 2022;6(10) View
  11. Uddin J, Malla G, Long D, Zhu S, Black N, Cherrington A, Dutton G, Safford M, Cummings D, Judd S, Levitan E, Carson A. The association between neighborhood social and economic environment and prevalent diabetes in urban and rural communities: The Reasons for Geographic and Racial Differences in Stroke (REGARDS) study. SSM - Population Health 2022;17:101050 View
  12. De Silva S, Meeker M, Ryan V, Algur Y, Long D, Carson A, Black N, McClure L. Comparing Global and Spatial Composite Measures of Neighborhood Socioeconomic Status Across US Counties. Journal of Urban Health 2022;99(3):457 View
  13. Moon K, Nordberg C, Orstad S, Zhu A, Uddin J, Lopez P, Schwartz M, Ryan V, Hirsch A, Schwartz B, Carson A, Long D, Meeker M, Brown J, Lovasi G, Adhikari S, Kanchi R, Avramovic S, Imperatore G, Poulsen M. Mediation of an association between neighborhood socioeconomic environment and type 2 diabetes through the leisure-time physical activity environment in an analysis of three independent samples. BMJ Open Diabetes Research & Care 2023;11(2):e003120 View
  14. McAlexander T, Ryan V, Uddin J, Kanchi R, Thorpe L, Schwartz B, Carson A, Rolka D, Adhikari S, Pollak J, Lopez P, Smith M, Meeker M, McClure L. Associations between PM2.5 and O3 exposures and new onset type 2 diabetes in regional and national samples in the United States. Environmental Research 2023;239:117248 View
  15. Uddin J, Zhu S, Adhikari S, Nordberg C, Howell C, Malla G, Judd S, Cherrington A, Rummo P, Lopez P, Kanchi R, Siegel K, De Silva S, Algur Y, Lovasi G, Lee N, Carson A, Hirsch A, Thorpe L, Long D. Age and sex differences in the association between neighborhood socioeconomic environment and incident diabetes: Results from the diabetes location, environmental attributes and disparities (LEAD) network. SSM - Population Health 2023;24:101541 View
  16. Algur Y, Rummo P, McAlexander T, De Silva S, Lovasi G, Judd S, Ryan V, Malla G, Koyama A, Lee D, Thorpe L, McClure L. Assessing the association between food environment and dietary inflammation by community type: a cross-sectional REGARDS study. International Journal of Health Geographics 2023;22(1) View
  17. Lee D, Orstad S, Kanchi R, Adhikari S, Rummo P, Titus A, Aleman J, Elbel B, Thorpe L, Schwartz M. Demographic, social and geographic factors associated with glycaemic control among US Veterans with new onset type 2 diabetes: a retrospective cohort study. BMJ Open 2023;13(10):e075599 View
  18. Rummo P, Kanchi R, Adhikari S, Titus A, Lee D, McAlexander T, Thorpe L, Elbel B. Influence of the food environment on obesity risk in a large cohort of US veterans by community type. Obesity 2024;32(4):788 View
  19. Malla G, Long D, Cherrington A, Goyal P, Guo B, Safford M, Khodneva Y, Cummings D, McAlexander T, DeSilva S, Judd S, Hidalgo B, Levitan E, Carson A. Neighborhood Disadvantage and Risk of Heart Failure: The Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study. Circulation: Cardiovascular Quality and Outcomes 2024;17(3) View
  20. Poulsen M, Hirsch A, Dean L, Pollak J, DeWalle J, Moon K, Reeder M, Bandeen-Roche K, Schwartz B. Community credit scores and community socioeconomic deprivation in association with type 2 diabetes across an urban to rural spectrum in Pennsylvania: a case–control study. BMJ Public Health 2024;2(1):e000744 View
  21. Moon K, Poulsen M, Bandeen-Roche K, Hirsch A, DeWalle J, Pollak J, Schwartz B. Community profiles in northeastern and central Pennsylvania characterized by distinct social, natural, food, and physical activity environments and their relation to type 2 diabetes. Environmental Epidemiology 2024;8(5):e328 View