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Diabetes screening and the distribution of blood glucose levels in rural areas of North India

BACKGROUND AND OBJECTIVES: Genetics and environment have both been implicated in the exponential rise in the prevalence of diabetes mellitus that affects 65.1 million people, and leads to a mortality of 1 million people every year in India. This study was devised to obtain the trends of the distribu...

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Autores principales: Thomas, Tomi, Prabhata, Shalini, Valsangkar, Sameer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4558734/
https://www.ncbi.nlm.nih.gov/pubmed/26392793
http://dx.doi.org/10.4103/2230-8229.163026
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author Thomas, Tomi
Prabhata, Shalini
Valsangkar, Sameer
author_facet Thomas, Tomi
Prabhata, Shalini
Valsangkar, Sameer
author_sort Thomas, Tomi
collection PubMed
description BACKGROUND AND OBJECTIVES: Genetics and environment have both been implicated in the exponential rise in the prevalence of diabetes mellitus that affects 65.1 million people, and leads to a mortality of 1 million people every year in India. This study was devised to obtain the trends of the distribution of blood glucose, and sociodemographic characteristics in rural areas of a North Indian state. MATERIALS AND METHODS: A cross-sectional study was conducted at eight centers in five districts. A camp-based approach was followed in the diabetes screening conducted in rural areas. Blood glucose measurements were obtained after informed consent by trained staff using a reflectance photometer instrument. Descriptive statistics, distribution curves, log transformations, and tests for bimodality were obtained. RESULTS: 45,318 participants consisting of 44.4% males and 55.6% females were screened. Ages ranged from 18 to 98 years with the mean age of 39.9 ± 14.44 years. 86.5% were normal (random blood sugar [RBS] <140 mg/dl), 10.6% were prediabetic (RBS 140–200 mg/dl) and 2.9% were diabetic (RBS > 200 mg/dl). The median blood glucose level steadily rose with increasing age. The prediabetic to diabetic ratio was 4:1. The distribution curve of RBS was right skewed. A log transformation was applied, and bimodality was tested using the Hartigan's dip test. The dip statistic (D) was 0.0162 with a simulated P < 0.001. CONCLUSION: Mass screening for diabetes provides benefits from a clinical standpoint by helping to estimate the prevalence (diabetes) and the hidden burden of the disease (prediabetes). Screening programs can strengthen healthcare system initiatives and reduce the growing burden of diabetes in India.
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spelling pubmed-45587342015-09-21 Diabetes screening and the distribution of blood glucose levels in rural areas of North India Thomas, Tomi Prabhata, Shalini Valsangkar, Sameer J Family Community Med Original Article BACKGROUND AND OBJECTIVES: Genetics and environment have both been implicated in the exponential rise in the prevalence of diabetes mellitus that affects 65.1 million people, and leads to a mortality of 1 million people every year in India. This study was devised to obtain the trends of the distribution of blood glucose, and sociodemographic characteristics in rural areas of a North Indian state. MATERIALS AND METHODS: A cross-sectional study was conducted at eight centers in five districts. A camp-based approach was followed in the diabetes screening conducted in rural areas. Blood glucose measurements were obtained after informed consent by trained staff using a reflectance photometer instrument. Descriptive statistics, distribution curves, log transformations, and tests for bimodality were obtained. RESULTS: 45,318 participants consisting of 44.4% males and 55.6% females were screened. Ages ranged from 18 to 98 years with the mean age of 39.9 ± 14.44 years. 86.5% were normal (random blood sugar [RBS] <140 mg/dl), 10.6% were prediabetic (RBS 140–200 mg/dl) and 2.9% were diabetic (RBS > 200 mg/dl). The median blood glucose level steadily rose with increasing age. The prediabetic to diabetic ratio was 4:1. The distribution curve of RBS was right skewed. A log transformation was applied, and bimodality was tested using the Hartigan's dip test. The dip statistic (D) was 0.0162 with a simulated P < 0.001. CONCLUSION: Mass screening for diabetes provides benefits from a clinical standpoint by helping to estimate the prevalence (diabetes) and the hidden burden of the disease (prediabetes). Screening programs can strengthen healthcare system initiatives and reduce the growing burden of diabetes in India. Medknow Publications & Media Pvt Ltd 2015 /pmc/articles/PMC4558734/ /pubmed/26392793 http://dx.doi.org/10.4103/2230-8229.163026 Text en Copyright: © Journal of Family and Community Medicine http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Thomas, Tomi
Prabhata, Shalini
Valsangkar, Sameer
Diabetes screening and the distribution of blood glucose levels in rural areas of North India
title Diabetes screening and the distribution of blood glucose levels in rural areas of North India
title_full Diabetes screening and the distribution of blood glucose levels in rural areas of North India
title_fullStr Diabetes screening and the distribution of blood glucose levels in rural areas of North India
title_full_unstemmed Diabetes screening and the distribution of blood glucose levels in rural areas of North India
title_short Diabetes screening and the distribution of blood glucose levels in rural areas of North India
title_sort diabetes screening and the distribution of blood glucose levels in rural areas of north india
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4558734/
https://www.ncbi.nlm.nih.gov/pubmed/26392793
http://dx.doi.org/10.4103/2230-8229.163026
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