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Urban environment as an independent predictor of insulin resistance in a South Asian population

BACKGROUND: Developing countries, such as India, are experiencing rapid urbanization, which may have a major impact on the environment: including worsening air and water quality, noise and the problems of waste disposal. We used health data from an ongoing cohort study based in southern India to exa...

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Autores principales: Thanikachalam, Mohan, Fuller, Christina H., Lane, Kevin J., Sunderarajan, Jahnavi, Harivanzan, Vijayakumar, Brugge, Doug, Thanikachalam, Sadagopan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373002/
https://www.ncbi.nlm.nih.gov/pubmed/30755210
http://dx.doi.org/10.1186/s12942-019-0169-9
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author Thanikachalam, Mohan
Fuller, Christina H.
Lane, Kevin J.
Sunderarajan, Jahnavi
Harivanzan, Vijayakumar
Brugge, Doug
Thanikachalam, Sadagopan
author_facet Thanikachalam, Mohan
Fuller, Christina H.
Lane, Kevin J.
Sunderarajan, Jahnavi
Harivanzan, Vijayakumar
Brugge, Doug
Thanikachalam, Sadagopan
author_sort Thanikachalam, Mohan
collection PubMed
description BACKGROUND: Developing countries, such as India, are experiencing rapid urbanization, which may have a major impact on the environment: including worsening air and water quality, noise and the problems of waste disposal. We used health data from an ongoing cohort study based in southern India to examine the relationship between the urban environment and homeostasis model assessment of insulin resistance (HOMA-IR). METHODS: We utilized three metrics of urbanization: distance from urban center; population density in the India Census; and satellite-based land cover. Restricted to participants without diabetes (N = 6350); we built logistic regression models adjusted for traditional risk factors to test the association between urban environment and HOMA-IR. RESULTS: In adjusted models, residing within 0–20 km of the urban center was associated with an odds ratio for HOMA-IR of 1.79 (95% CI 1.39, 2.29) for females and 2.30 (95% CI 1.64, 3.22) for males compared to residing in the furthest 61–80 km distance group. Similar statistically significant results were identified using the other metrics. CONCLUSIONS: We identified associations between urban environment and HOMA-IR in a cohort of adults. These associations were robust using various metrics of urbanization and adjustment for individual predictors. Our results are of public health concern due to the global movement of large numbers of people from rural to urban areas and the already large burden of diabetes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12942-019-0169-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-63730022019-02-25 Urban environment as an independent predictor of insulin resistance in a South Asian population Thanikachalam, Mohan Fuller, Christina H. Lane, Kevin J. Sunderarajan, Jahnavi Harivanzan, Vijayakumar Brugge, Doug Thanikachalam, Sadagopan Int J Health Geogr Research BACKGROUND: Developing countries, such as India, are experiencing rapid urbanization, which may have a major impact on the environment: including worsening air and water quality, noise and the problems of waste disposal. We used health data from an ongoing cohort study based in southern India to examine the relationship between the urban environment and homeostasis model assessment of insulin resistance (HOMA-IR). METHODS: We utilized three metrics of urbanization: distance from urban center; population density in the India Census; and satellite-based land cover. Restricted to participants without diabetes (N = 6350); we built logistic regression models adjusted for traditional risk factors to test the association between urban environment and HOMA-IR. RESULTS: In adjusted models, residing within 0–20 km of the urban center was associated with an odds ratio for HOMA-IR of 1.79 (95% CI 1.39, 2.29) for females and 2.30 (95% CI 1.64, 3.22) for males compared to residing in the furthest 61–80 km distance group. Similar statistically significant results were identified using the other metrics. CONCLUSIONS: We identified associations between urban environment and HOMA-IR in a cohort of adults. These associations were robust using various metrics of urbanization and adjustment for individual predictors. Our results are of public health concern due to the global movement of large numbers of people from rural to urban areas and the already large burden of diabetes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12942-019-0169-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-12 /pmc/articles/PMC6373002/ /pubmed/30755210 http://dx.doi.org/10.1186/s12942-019-0169-9 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Thanikachalam, Mohan
Fuller, Christina H.
Lane, Kevin J.
Sunderarajan, Jahnavi
Harivanzan, Vijayakumar
Brugge, Doug
Thanikachalam, Sadagopan
Urban environment as an independent predictor of insulin resistance in a South Asian population
title Urban environment as an independent predictor of insulin resistance in a South Asian population
title_full Urban environment as an independent predictor of insulin resistance in a South Asian population
title_fullStr Urban environment as an independent predictor of insulin resistance in a South Asian population
title_full_unstemmed Urban environment as an independent predictor of insulin resistance in a South Asian population
title_short Urban environment as an independent predictor of insulin resistance in a South Asian population
title_sort urban environment as an independent predictor of insulin resistance in a south asian population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373002/
https://www.ncbi.nlm.nih.gov/pubmed/30755210
http://dx.doi.org/10.1186/s12942-019-0169-9
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