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1 "Satyanarayana Dantala"
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Original Article
Diabetes and prediabetes prevalence among young and middle-aged adults in India, with an analysis of geographic differences: findings from the National Family Health Survey
Siddardha G. Chandrupatla, Isma Khalid, Tejdeep Muthuluri, Satyanarayana Dantala, Mary Tavares
Epidemiol Health. 2020;42:e2020065.   Published online September 18, 2020
DOI: https://doi.org/10.4178/epih.e2020065
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  • 6 Citations
AbstractAbstract PDF
Abstract
OBJECTIVES
This study aimed to approximate the prevalence of hyperglycemia in India.
METHODS
The study was conducted using the Demographic and Health Survey 2015-16 (also known as the National Family Health Survey-4), which surveyed 811,808 individuals using a stratified, multistage, cluster sampling design. This cross-sectional survey recorded socio-demographic and anthropometric data, including blood glucose levels, of adults aged 18 years to 54 years.
RESULTS
The final analysis included 718,597 individuals, of whom 49.90% (weighted) were males. The overall prevalence of diabetes was 6.65% and that of prediabetes was 5.57%. A positive association was seen with urban residence, geographic region, sex, age, body mass index, socioeconomic status, and hypertension. Approximately two-thirds of individuals with diabetes lived in urban areas, and about half of the urban population was considered overweight/obese. South India showed a higher prevalence of diabetes (prevalence ratio, 2.01; p<0.001) than northern India.
CONCLUSIONS
Hyperglycemia (diabetes and prediabetes) has a high prevalence in India and is a major public health issue. Diabetes is unevenly distributed based on geographic location and urbanization. Prevention, early detection, and treatment strategies should consider this uneven distribution of diabetes.
Summary

Citations

Citations to this article as recorded by  
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    Scientific Reports.2023;[Epub]     CrossRef
  • Socio-economic inequalities in diabetes and prediabetes among Bangladeshi adults
    Abdur Razzaque Sarker, Moriam Khanam
    Diabetology International.2022; 13(2): 421.     CrossRef
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    BMC Public Health.2022;[Epub]     CrossRef
  • Efficacy Analysis of Team-Based Nursing Compliance in Young and Middle-Aged Diabetes Mellitus Patients Based on Random Forest Algorithm and Logistic Regression
    Dongni Qian, Hong Gao, Yao Chen
    Computational and Mathematical Methods in Medicine.2022; 2022: 1.     CrossRef
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    Eslavath Rajkumar, GT Kruthika, Padiri Angiel Ruth, R Lakshmi, Daniel Monica, John Romate, Abraham John
    The Open Public Health Journal.2022;[Epub]     CrossRef
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