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Urbanization and prevalence of type 2 diabetes in Southern Asia: A systematic analysis

BACKGROUND: Diabetes mellitus is one of the diseases considered to be the main constituents of the global non–communicable disease (NCD) pandemic. Despite the large impact that NCDs are predicted to have, particularly in developing countries, estimates of disease burden are sparse and inconsistent....

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Autores principales: Cheema, Arsalan, Adeloye, Davies, Sidhu, Simrita, Sridhar, Devi, Chan, Kit Yee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Edinburgh University Global Health Society 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4073245/
https://www.ncbi.nlm.nih.gov/pubmed/24976963
http://dx.doi.org/10.7189/jogh.04.010404
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author Cheema, Arsalan
Adeloye, Davies
Sidhu, Simrita
Sridhar, Devi
Chan, Kit Yee
author_facet Cheema, Arsalan
Adeloye, Davies
Sidhu, Simrita
Sridhar, Devi
Chan, Kit Yee
author_sort Cheema, Arsalan
collection PubMed
description BACKGROUND: Diabetes mellitus is one of the diseases considered to be the main constituents of the global non–communicable disease (NCD) pandemic. Despite the large impact that NCDs are predicted to have, particularly in developing countries, estimates of disease burden are sparse and inconsistent. This systematic review transparently estimates prevalence of type 2 diabetes mellitus in Southern Asia, its association with urbanization and provides insight into the policy challenges facing the region. METHODS: The databases Medline and PubMed were searched for population–based studies providing estimates of diabetes prevalence in the Southern Asia region. Studies using WHO diagnostic criteria of fasting plasma glucose (FPG) ≥7.0mmol/L and/or 2h–plasma glucose (2hPG) ≥11.1mmol/L were included. Data from eligible studies was extracted into bubble graphs, and trend lines were applied to UNPD figures to estimate age–specific prevalence in the regional population. Estimates specific to sex, area of residency, and diagnostic method were compared and trends analysed. RESULTS: A total of 151 age–specific prevalence estimates were extracted from 39 studies. Diabetes prevalence was estimated to be 7.47% for 2005 and 7.60% for 2010. Prevalence was strongly associated with increased age, male gender and urban residency (P < 0.001). CONCLUSION: Diabetes prevalence in Southern Asia is high and predicted to increase in the future as life expectancy rises and the region continues to urbanise. Countries in this region need to improve NCD surveillance and monitoring so policies can be informed with the best evidence. Programs for prevention need to be put in place, and health system capacity and access needs to be assessed and increased to deal with the predicted rise in NCD prevalence.
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spelling pubmed-40732452014-06-27 Urbanization and prevalence of type 2 diabetes in Southern Asia: A systematic analysis Cheema, Arsalan Adeloye, Davies Sidhu, Simrita Sridhar, Devi Chan, Kit Yee J Glob Health Article BACKGROUND: Diabetes mellitus is one of the diseases considered to be the main constituents of the global non–communicable disease (NCD) pandemic. Despite the large impact that NCDs are predicted to have, particularly in developing countries, estimates of disease burden are sparse and inconsistent. This systematic review transparently estimates prevalence of type 2 diabetes mellitus in Southern Asia, its association with urbanization and provides insight into the policy challenges facing the region. METHODS: The databases Medline and PubMed were searched for population–based studies providing estimates of diabetes prevalence in the Southern Asia region. Studies using WHO diagnostic criteria of fasting plasma glucose (FPG) ≥7.0mmol/L and/or 2h–plasma glucose (2hPG) ≥11.1mmol/L were included. Data from eligible studies was extracted into bubble graphs, and trend lines were applied to UNPD figures to estimate age–specific prevalence in the regional population. Estimates specific to sex, area of residency, and diagnostic method were compared and trends analysed. RESULTS: A total of 151 age–specific prevalence estimates were extracted from 39 studies. Diabetes prevalence was estimated to be 7.47% for 2005 and 7.60% for 2010. Prevalence was strongly associated with increased age, male gender and urban residency (P < 0.001). CONCLUSION: Diabetes prevalence in Southern Asia is high and predicted to increase in the future as life expectancy rises and the region continues to urbanise. Countries in this region need to improve NCD surveillance and monitoring so policies can be informed with the best evidence. Programs for prevention need to be put in place, and health system capacity and access needs to be assessed and increased to deal with the predicted rise in NCD prevalence. Edinburgh University Global Health Society 2014-06 /pmc/articles/PMC4073245/ /pubmed/24976963 http://dx.doi.org/10.7189/jogh.04.010404 Text en Copyright © 2014 by the Journal of Global Health. All rights reserved. http://creativecommons.org/licenses/by/2.5/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Cheema, Arsalan
Adeloye, Davies
Sidhu, Simrita
Sridhar, Devi
Chan, Kit Yee
Urbanization and prevalence of type 2 diabetes in Southern Asia: A systematic analysis
title Urbanization and prevalence of type 2 diabetes in Southern Asia: A systematic analysis
title_full Urbanization and prevalence of type 2 diabetes in Southern Asia: A systematic analysis
title_fullStr Urbanization and prevalence of type 2 diabetes in Southern Asia: A systematic analysis
title_full_unstemmed Urbanization and prevalence of type 2 diabetes in Southern Asia: A systematic analysis
title_short Urbanization and prevalence of type 2 diabetes in Southern Asia: A systematic analysis
title_sort urbanization and prevalence of type 2 diabetes in southern asia: a systematic analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4073245/
https://www.ncbi.nlm.nih.gov/pubmed/24976963
http://dx.doi.org/10.7189/jogh.04.010404
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