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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.
Moon, Katherine A; Nordberg, Cara M; Orstad, Stephanie L; Zhu, Aowen; Uddin, Jalal; Lopez, Priscilla; Schwartz, Mark D; Ryan, Victoria; Hirsch, Annemarie G; Schwartz, Brian S; Carson, April P; Long, D Leann; Meeker, Melissa; Brown, Janene; Lovasi, Gina S; Adhikari, Samranchana; Kanchi, Rania; Avramovic, Sanja; Imperatore, Giuseppina; Poulsen, Melissa N.
Afiliação
  • Moon KA; Department of Environmental Health and Engineering, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA kmoon9@jhu.edu.
  • Nordberg CM; Department of Population Health Sciences, Geisinger, Danville, Pennsylvania, USA.
  • Orstad SL; Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA.
  • Zhu A; Department of Medicine, Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, NY, USA.
  • Uddin J; Department of Epidemiology, The University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA.
  • Lopez P; Department of Epidemiology, The University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA.
  • Schwartz MD; Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA.
  • Ryan V; Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA.
  • Hirsch AG; The Department of Veterans Affairs, New York Harbor Healthcare System, New York, NY, USA.
  • Schwartz BS; Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania, USA.
  • Carson AP; Department of Population Health Sciences, Geisinger, Danville, Pennsylvania, USA.
  • Long DL; Department of Environmental Health and Engineering, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Meeker M; Department of Population Health Sciences, Geisinger, Danville, Pennsylvania, USA.
  • Brown J; Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA.
  • Lovasi GS; Department of Biostatistics, University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA.
  • Adhikari S; Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania, USA.
  • Kanchi R; Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania, USA.
  • Avramovic S; Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania, USA.
  • Imperatore G; The Urban Health Collaborative, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA.
  • Poulsen MN; Department of Medicine, Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, NY, USA.
Article em En | MEDLINE | ID: mdl-36858436
INTRODUCTION: Inequitable access to leisure-time physical activity (LTPA) resources may explain geographic disparities in type 2 diabetes (T2D). We evaluated whether the neighborhood socioeconomic environment (NSEE) affects T2D through the LTPA environment. RESEARCH DESIGN AND METHODS: We conducted analyses in three study samples: the national Veterans Administration Diabetes Risk (VADR) cohort comprising electronic health records (EHR) of 4.1 million T2D-free veterans, the national prospective cohort REasons for Geographic and Racial Differences in Stroke (REGARDS) (11 208 T2D free), and a case-control study of Geisinger EHR in Pennsylvania (15 888 T2D cases). New-onset T2D was defined using diagnoses, laboratory and medication data. We harmonized neighborhood-level variables, including exposure, confounders, and effect modifiers. We measured NSEE with a summary index of six census tract indicators. The LTPA environment was measured by physical activity (PA) facility (gyms and other commercial facilities) density within street network buffers and population-weighted distance to parks. We estimated natural direct and indirect effects for each mediator stratified by community type. RESULTS: The magnitudes of the indirect effects were generally small, and the direction of the indirect effects differed by community type and study sample. The most consistent findings were for mediation via PA facility density in rural communities, where we observed positive indirect effects (differences in T2D incidence rates (95% CI) comparing the highest versus lowest quartiles of NSEE, multiplied by 100) of 1.53 (0.25, 3.05) in REGARDS and 0.0066 (0.0038, 0.0099) in VADR. No mediation was evident in Geisinger. CONCLUSIONS: PA facility density and distance to parks did not substantially mediate the relation between NSEE and T2D. Our heterogeneous results suggest that approaches to reduce T2D through changes to the LTPA environment require local tailoring.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Observational_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Limite: Humans Idioma: En Revista: BMJ Open Diabetes Res Care Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Observational_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Limite: Humans Idioma: En Revista: BMJ Open Diabetes Res Care Ano de publicação: 2023 Tipo de documento: Article