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Neighborhood Conditions and Type 2 Diabetes Risk among Latino Adolescents with Obesity in Phoenix
Type 2 Diabetes (T2D) has reached epidemic levels among the pediatric population. Furthermore, disparities in T2D among youth are distributed in a manner that reflects the social inequality between population sub-groups. Here, we investigated the neighborhood determinants of T2D risk among a sample...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265310/ https://www.ncbi.nlm.nih.gov/pubmed/35805578 http://dx.doi.org/10.3390/ijerph19137920 |
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author | Sheehan, Connor M. Gotlieb, Esther E. Ayers, Stephanie L. Tong, Daoqin Oesterle, Sabrina Vega-López, Sonia Wolfersteig, Wendy Ruelas, Dulce María Shaibi, Gabriel Q. |
author_facet | Sheehan, Connor M. Gotlieb, Esther E. Ayers, Stephanie L. Tong, Daoqin Oesterle, Sabrina Vega-López, Sonia Wolfersteig, Wendy Ruelas, Dulce María Shaibi, Gabriel Q. |
author_sort | Sheehan, Connor M. |
collection | PubMed |
description | Type 2 Diabetes (T2D) has reached epidemic levels among the pediatric population. Furthermore, disparities in T2D among youth are distributed in a manner that reflects the social inequality between population sub-groups. Here, we investigated the neighborhood determinants of T2D risk among a sample of Latino adolescents with obesity residing in Phoenix, Arizona (n = 133). In doing so we linked together four separate contextual data sources: the American Community Survey, the United States Department of Agriculture Food Access Research Atlas, the Arizona Healthy Community Map, and the National Neighborhood Data Archive to systematically analyze how and which neighborhood characteristics were associated with T2D risk factors as measured by fasting and 2-h glucose following a 75 g oral glucose tolerance test. Using linear regression models with and without individual/household covariates, we investigated how twenty-two housing and transportation sociodemographic and built and food environment characteristics were independently and jointly associated with T2D risk. The main finding from these analyses was the strong association between the density of fast food restaurants and 2-h glucose values (b = 2.42, p < 0.01). This association was independent of individual, household, and other neighborhood characteristics. Our results contribute to an increasingly robust literature demonstrating the deleterious influence of the neighborhood food environment, especially fast food, for T2D risk among Latino youth. |
format | Online Article Text |
id | pubmed-9265310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92653102022-07-09 Neighborhood Conditions and Type 2 Diabetes Risk among Latino Adolescents with Obesity in Phoenix Sheehan, Connor M. Gotlieb, Esther E. Ayers, Stephanie L. Tong, Daoqin Oesterle, Sabrina Vega-López, Sonia Wolfersteig, Wendy Ruelas, Dulce María Shaibi, Gabriel Q. Int J Environ Res Public Health Article Type 2 Diabetes (T2D) has reached epidemic levels among the pediatric population. Furthermore, disparities in T2D among youth are distributed in a manner that reflects the social inequality between population sub-groups. Here, we investigated the neighborhood determinants of T2D risk among a sample of Latino adolescents with obesity residing in Phoenix, Arizona (n = 133). In doing so we linked together four separate contextual data sources: the American Community Survey, the United States Department of Agriculture Food Access Research Atlas, the Arizona Healthy Community Map, and the National Neighborhood Data Archive to systematically analyze how and which neighborhood characteristics were associated with T2D risk factors as measured by fasting and 2-h glucose following a 75 g oral glucose tolerance test. Using linear regression models with and without individual/household covariates, we investigated how twenty-two housing and transportation sociodemographic and built and food environment characteristics were independently and jointly associated with T2D risk. The main finding from these analyses was the strong association between the density of fast food restaurants and 2-h glucose values (b = 2.42, p < 0.01). This association was independent of individual, household, and other neighborhood characteristics. Our results contribute to an increasingly robust literature demonstrating the deleterious influence of the neighborhood food environment, especially fast food, for T2D risk among Latino youth. MDPI 2022-06-28 /pmc/articles/PMC9265310/ /pubmed/35805578 http://dx.doi.org/10.3390/ijerph19137920 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sheehan, Connor M. Gotlieb, Esther E. Ayers, Stephanie L. Tong, Daoqin Oesterle, Sabrina Vega-López, Sonia Wolfersteig, Wendy Ruelas, Dulce María Shaibi, Gabriel Q. Neighborhood Conditions and Type 2 Diabetes Risk among Latino Adolescents with Obesity in Phoenix |
title | Neighborhood Conditions and Type 2 Diabetes Risk among Latino Adolescents with Obesity in Phoenix |
title_full | Neighborhood Conditions and Type 2 Diabetes Risk among Latino Adolescents with Obesity in Phoenix |
title_fullStr | Neighborhood Conditions and Type 2 Diabetes Risk among Latino Adolescents with Obesity in Phoenix |
title_full_unstemmed | Neighborhood Conditions and Type 2 Diabetes Risk among Latino Adolescents with Obesity in Phoenix |
title_short | Neighborhood Conditions and Type 2 Diabetes Risk among Latino Adolescents with Obesity in Phoenix |
title_sort | neighborhood conditions and type 2 diabetes risk among latino adolescents with obesity in phoenix |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265310/ https://www.ncbi.nlm.nih.gov/pubmed/35805578 http://dx.doi.org/10.3390/ijerph19137920 |
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