Cargando…

Longitudinal Analysis of Neighborhood Food Environment and Diabetes Risk in the Veterans Administration Diabetes Risk Cohort

IMPORTANCE: Diabetes causes substantial morbidity and mortality among adults in the US, yet its incidence varies across the country, suggesting that neighborhood factors are associated with geographical disparities in diabetes. OBJECTIVE: To examine the association between neighborhood food environm...

Descripción completa

Detalles Bibliográficos
Autores principales: Kanchi, Rania, Lopez, Priscilla, Rummo, Pasquale E., Lee, David C., Adhikari, Samrachana, Schwartz, Mark D., Avramovic, Sanja, Siegel, Karen R., Rolka, Deborah B., Imperatore, Giuseppina, Elbel, Brian, Thorpe, Lorna E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556617/
https://www.ncbi.nlm.nih.gov/pubmed/34714343
http://dx.doi.org/10.1001/jamanetworkopen.2021.30789
_version_ 1784592205609959424
author Kanchi, Rania
Lopez, Priscilla
Rummo, Pasquale E.
Lee, David C.
Adhikari, Samrachana
Schwartz, Mark D.
Avramovic, Sanja
Siegel, Karen R.
Rolka, Deborah B.
Imperatore, Giuseppina
Elbel, Brian
Thorpe, Lorna E.
author_facet Kanchi, Rania
Lopez, Priscilla
Rummo, Pasquale E.
Lee, David C.
Adhikari, Samrachana
Schwartz, Mark D.
Avramovic, Sanja
Siegel, Karen R.
Rolka, Deborah B.
Imperatore, Giuseppina
Elbel, Brian
Thorpe, Lorna E.
author_sort Kanchi, Rania
collection PubMed
description IMPORTANCE: Diabetes causes substantial morbidity and mortality among adults in the US, yet its incidence varies across the country, suggesting that neighborhood factors are associated with geographical disparities in diabetes. OBJECTIVE: To examine the association between neighborhood food environment and risk of incident type 2 diabetes across different community types (high-density urban, low-density urban, suburban, and rural). DESIGN, SETTING, AND PARTICIPANTS: This is a national cohort study of 4 100 650 US veterans without type 2 diabetes. Participants entered the cohort between 2008 and 2016 and were followed up through 2018. The median (IQR) duration of follow-up was 5.5 (2.6-9.8) person-years. Data were obtained from Veterans Affairs electronic health records. Incident type 2 diabetes was defined as 2 encounters with type 2 diabetes International Classification of Diseases, Ninth Revision or Tenth Revision codes, a prescription for diabetes medication other than metformin or acarbose alone, or 1 encounter with type 2 diabetes International Classification of Diseases Ninth Revision or Tenth Revision codes and 2 instances of elevated hemoglobin A(1c) (≥6.5%). Data analysis was performed from October 2020 to March 2021. EXPOSURES: Five-year mean counts of fast-food restaurants and supermarkets relative to other food outlets at baseline were used to generate neighborhood food environment measures. The association between food environment and time to incident diabetes was examined using piecewise exponential models with 2-year interval of person-time and county-level random effects stratifying by community types. RESULTS: The mean (SD) age of cohort participants was 59.4 (17.2) years. Most of the participants were non-Hispanic White (2 783 756 participants [76.3%]) and male (3 779 555 participants [92.2%]). The relative density of fast-food restaurants was positively associated with a modestly increased risk of type 2 diabetes in all community types. The adjusted hazard ratio (aHR) was 1.01 (95% CI, 1.00-1.02) in high-density urban communities, 1.01 (95% CI, 1.01-1.01) in low-density urban communities, 1.02 (95% CI, 1.01-1.03) in suburban communities, and 1.01 (95% CI, 1.01-1.02) in rural communities. The relative density of supermarkets was associated with lower type 2 diabetes risk only in suburban (aHR, 0.97; 95% CI, 0.96-0.99) and rural (aHR, 0.99; 95% CI, 0.98-0.99) communities. CONCLUSIONS AND RELEVANCE: These findings suggest that neighborhood food environment measures are associated with type 2 diabetes among US veterans in multiple community types and that food environments are potential avenues for action to address the burden of diabetes. Tailored interventions targeting the availability of supermarkets may be associated with reduced diabetes risk, particularly in suburban and rural communities, whereas restrictions on fast-food restaurants may help in all community types.
format Online
Article
Text
id pubmed-8556617
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher American Medical Association
record_format MEDLINE/PubMed
spelling pubmed-85566172021-11-10 Longitudinal Analysis of Neighborhood Food Environment and Diabetes Risk in the Veterans Administration Diabetes Risk Cohort Kanchi, Rania Lopez, Priscilla Rummo, Pasquale E. Lee, David C. Adhikari, Samrachana Schwartz, Mark D. Avramovic, Sanja Siegel, Karen R. Rolka, Deborah B. Imperatore, Giuseppina Elbel, Brian Thorpe, Lorna E. JAMA Netw Open Original Investigation IMPORTANCE: Diabetes causes substantial morbidity and mortality among adults in the US, yet its incidence varies across the country, suggesting that neighborhood factors are associated with geographical disparities in diabetes. OBJECTIVE: To examine the association between neighborhood food environment and risk of incident type 2 diabetes across different community types (high-density urban, low-density urban, suburban, and rural). DESIGN, SETTING, AND PARTICIPANTS: This is a national cohort study of 4 100 650 US veterans without type 2 diabetes. Participants entered the cohort between 2008 and 2016 and were followed up through 2018. The median (IQR) duration of follow-up was 5.5 (2.6-9.8) person-years. Data were obtained from Veterans Affairs electronic health records. Incident type 2 diabetes was defined as 2 encounters with type 2 diabetes International Classification of Diseases, Ninth Revision or Tenth Revision codes, a prescription for diabetes medication other than metformin or acarbose alone, or 1 encounter with type 2 diabetes International Classification of Diseases Ninth Revision or Tenth Revision codes and 2 instances of elevated hemoglobin A(1c) (≥6.5%). Data analysis was performed from October 2020 to March 2021. EXPOSURES: Five-year mean counts of fast-food restaurants and supermarkets relative to other food outlets at baseline were used to generate neighborhood food environment measures. The association between food environment and time to incident diabetes was examined using piecewise exponential models with 2-year interval of person-time and county-level random effects stratifying by community types. RESULTS: The mean (SD) age of cohort participants was 59.4 (17.2) years. Most of the participants were non-Hispanic White (2 783 756 participants [76.3%]) and male (3 779 555 participants [92.2%]). The relative density of fast-food restaurants was positively associated with a modestly increased risk of type 2 diabetes in all community types. The adjusted hazard ratio (aHR) was 1.01 (95% CI, 1.00-1.02) in high-density urban communities, 1.01 (95% CI, 1.01-1.01) in low-density urban communities, 1.02 (95% CI, 1.01-1.03) in suburban communities, and 1.01 (95% CI, 1.01-1.02) in rural communities. The relative density of supermarkets was associated with lower type 2 diabetes risk only in suburban (aHR, 0.97; 95% CI, 0.96-0.99) and rural (aHR, 0.99; 95% CI, 0.98-0.99) communities. CONCLUSIONS AND RELEVANCE: These findings suggest that neighborhood food environment measures are associated with type 2 diabetes among US veterans in multiple community types and that food environments are potential avenues for action to address the burden of diabetes. Tailored interventions targeting the availability of supermarkets may be associated with reduced diabetes risk, particularly in suburban and rural communities, whereas restrictions on fast-food restaurants may help in all community types. American Medical Association 2021-10-29 /pmc/articles/PMC8556617/ /pubmed/34714343 http://dx.doi.org/10.1001/jamanetworkopen.2021.30789 Text en Copyright 2021 Kanchi R et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Kanchi, Rania
Lopez, Priscilla
Rummo, Pasquale E.
Lee, David C.
Adhikari, Samrachana
Schwartz, Mark D.
Avramovic, Sanja
Siegel, Karen R.
Rolka, Deborah B.
Imperatore, Giuseppina
Elbel, Brian
Thorpe, Lorna E.
Longitudinal Analysis of Neighborhood Food Environment and Diabetes Risk in the Veterans Administration Diabetes Risk Cohort
title Longitudinal Analysis of Neighborhood Food Environment and Diabetes Risk in the Veterans Administration Diabetes Risk Cohort
title_full Longitudinal Analysis of Neighborhood Food Environment and Diabetes Risk in the Veterans Administration Diabetes Risk Cohort
title_fullStr Longitudinal Analysis of Neighborhood Food Environment and Diabetes Risk in the Veterans Administration Diabetes Risk Cohort
title_full_unstemmed Longitudinal Analysis of Neighborhood Food Environment and Diabetes Risk in the Veterans Administration Diabetes Risk Cohort
title_short Longitudinal Analysis of Neighborhood Food Environment and Diabetes Risk in the Veterans Administration Diabetes Risk Cohort
title_sort longitudinal analysis of neighborhood food environment and diabetes risk in the veterans administration diabetes risk cohort
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556617/
https://www.ncbi.nlm.nih.gov/pubmed/34714343
http://dx.doi.org/10.1001/jamanetworkopen.2021.30789
work_keys_str_mv AT kanchirania longitudinalanalysisofneighborhoodfoodenvironmentanddiabetesriskintheveteransadministrationdiabetesriskcohort
AT lopezpriscilla longitudinalanalysisofneighborhoodfoodenvironmentanddiabetesriskintheveteransadministrationdiabetesriskcohort
AT rummopasqualee longitudinalanalysisofneighborhoodfoodenvironmentanddiabetesriskintheveteransadministrationdiabetesriskcohort
AT leedavidc longitudinalanalysisofneighborhoodfoodenvironmentanddiabetesriskintheveteransadministrationdiabetesriskcohort
AT adhikarisamrachana longitudinalanalysisofneighborhoodfoodenvironmentanddiabetesriskintheveteransadministrationdiabetesriskcohort
AT schwartzmarkd longitudinalanalysisofneighborhoodfoodenvironmentanddiabetesriskintheveteransadministrationdiabetesriskcohort
AT avramovicsanja longitudinalanalysisofneighborhoodfoodenvironmentanddiabetesriskintheveteransadministrationdiabetesriskcohort
AT siegelkarenr longitudinalanalysisofneighborhoodfoodenvironmentanddiabetesriskintheveteransadministrationdiabetesriskcohort
AT rolkadeborahb longitudinalanalysisofneighborhoodfoodenvironmentanddiabetesriskintheveteransadministrationdiabetesriskcohort
AT imperatoregiuseppina longitudinalanalysisofneighborhoodfoodenvironmentanddiabetesriskintheveteransadministrationdiabetesriskcohort
AT elbelbrian longitudinalanalysisofneighborhoodfoodenvironmentanddiabetesriskintheveteransadministrationdiabetesriskcohort
AT thorpelornae longitudinalanalysisofneighborhoodfoodenvironmentanddiabetesriskintheveteransadministrationdiabetesriskcohort