Cargando…

Association between environmental quality and diabetes in the USA

AIMS/INTRODUCTION: Caloric excess and physical inactivity fail to fully account for the rise of diabetes prevalence. Individual environmental pollutants can disrupt glucose homeostasis and promote metabolic dysfunction. However, the impact of cumulative exposures on diabetes risk is unknown. MATERIA...

Descripción completa

Detalles Bibliográficos
Autores principales: Jagai, Jyotsna S, Krajewski, Alison K, Shaikh, Sabina, Lobdell, Danelle T, Sargis, Robert M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7078099/
https://www.ncbi.nlm.nih.gov/pubmed/31579986
http://dx.doi.org/10.1111/jdi.13152
_version_ 1783507544430346240
author Jagai, Jyotsna S
Krajewski, Alison K
Shaikh, Sabina
Lobdell, Danelle T
Sargis, Robert M
author_facet Jagai, Jyotsna S
Krajewski, Alison K
Shaikh, Sabina
Lobdell, Danelle T
Sargis, Robert M
author_sort Jagai, Jyotsna S
collection PubMed
description AIMS/INTRODUCTION: Caloric excess and physical inactivity fail to fully account for the rise of diabetes prevalence. Individual environmental pollutants can disrupt glucose homeostasis and promote metabolic dysfunction. However, the impact of cumulative exposures on diabetes risk is unknown. MATERIALS AND METHODS: The Environmental Quality Index, a county‐level index composed of five domains, was developed to capture the multifactorial ambient environmental exposures. The Environmental Quality Index was linked to county‐level annual age‐adjusted population‐based estimates of diabetes prevalence rates. Prevalence differences (PD, annual difference per 100,000 persons) and 95% confidence intervals (CI) were estimated using random intercept mixed effects linear regression models. Associations were assessed for overall environmental quality and domain‐specific indices, and all analyses were stratified by four rural‐urban strata. RESULTS: Comparing counties in the highest quintile/poorest environmental quality to those in the lowest quintile/best environmental quality, counties with poor environmental quality demonstrated lower total diabetes prevalence rates. Associations varied by rural–urban strata; overall better environmental quality was associated with lower total diabetes prevalence rates in the less urbanized and thinly populated strata. When considering all counties, good sociodemographic environments were associated with lower total diabetes prevalence rates (prevalence difference 2.77, 95% confidence interval 2.71–2.83), suggesting that counties with poor sociodemographic environments have an annual prevalence rate 2.77 per 100,000 persons higher than counties with good sociodemographic environments. CONCLUSIONS: Increasing attention has focused on environmental exposures as contributors to diabetes pathogenesis, and the present findings suggest that comprehensive approaches to diabetes prevention must include interventions to improve environmental quality.
format Online
Article
Text
id pubmed-7078099
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-70780992020-03-19 Association between environmental quality and diabetes in the USA Jagai, Jyotsna S Krajewski, Alison K Shaikh, Sabina Lobdell, Danelle T Sargis, Robert M J Diabetes Investig Articles AIMS/INTRODUCTION: Caloric excess and physical inactivity fail to fully account for the rise of diabetes prevalence. Individual environmental pollutants can disrupt glucose homeostasis and promote metabolic dysfunction. However, the impact of cumulative exposures on diabetes risk is unknown. MATERIALS AND METHODS: The Environmental Quality Index, a county‐level index composed of five domains, was developed to capture the multifactorial ambient environmental exposures. The Environmental Quality Index was linked to county‐level annual age‐adjusted population‐based estimates of diabetes prevalence rates. Prevalence differences (PD, annual difference per 100,000 persons) and 95% confidence intervals (CI) were estimated using random intercept mixed effects linear regression models. Associations were assessed for overall environmental quality and domain‐specific indices, and all analyses were stratified by four rural‐urban strata. RESULTS: Comparing counties in the highest quintile/poorest environmental quality to those in the lowest quintile/best environmental quality, counties with poor environmental quality demonstrated lower total diabetes prevalence rates. Associations varied by rural–urban strata; overall better environmental quality was associated with lower total diabetes prevalence rates in the less urbanized and thinly populated strata. When considering all counties, good sociodemographic environments were associated with lower total diabetes prevalence rates (prevalence difference 2.77, 95% confidence interval 2.71–2.83), suggesting that counties with poor sociodemographic environments have an annual prevalence rate 2.77 per 100,000 persons higher than counties with good sociodemographic environments. CONCLUSIONS: Increasing attention has focused on environmental exposures as contributors to diabetes pathogenesis, and the present findings suggest that comprehensive approaches to diabetes prevention must include interventions to improve environmental quality. John Wiley and Sons Inc. 2019-10-21 2020-03 /pmc/articles/PMC7078099/ /pubmed/31579986 http://dx.doi.org/10.1111/jdi.13152 Text en © 2019 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Articles
Jagai, Jyotsna S
Krajewski, Alison K
Shaikh, Sabina
Lobdell, Danelle T
Sargis, Robert M
Association between environmental quality and diabetes in the USA
title Association between environmental quality and diabetes in the USA
title_full Association between environmental quality and diabetes in the USA
title_fullStr Association between environmental quality and diabetes in the USA
title_full_unstemmed Association between environmental quality and diabetes in the USA
title_short Association between environmental quality and diabetes in the USA
title_sort association between environmental quality and diabetes in the usa
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7078099/
https://www.ncbi.nlm.nih.gov/pubmed/31579986
http://dx.doi.org/10.1111/jdi.13152
work_keys_str_mv AT jagaijyotsnas associationbetweenenvironmentalqualityanddiabetesintheusa
AT krajewskialisonk associationbetweenenvironmentalqualityanddiabetesintheusa
AT shaikhsabina associationbetweenenvironmentalqualityanddiabetesintheusa
AT lobdelldanellet associationbetweenenvironmentalqualityanddiabetesintheusa
AT sargisrobertm associationbetweenenvironmentalqualityanddiabetesintheusa