Skip Navigation
Skip to contents

Epidemiol Health : Epidemiology and Health

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
1 "Satyanarayana Dantala"
Filter
Filter
Article category
Keywords
Publication year
Authors
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
  • 11,826 View
  • 332 Download
  • 11 Web of Science
  • 8 Crossref
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  
  • Gestational diabetes mellitus in early pregnancy amongst Asian Indian women: Evidence for poor pregnancy outcomes despite treatment
    John Punnose, Rajeev Kumar Malhotra, Komal Sukhija, Rashika Rijhwani M, Naimaa Choudhary, Asha Sharma, Prassan Vij, Pinky Bahl
    Diabetic Medicine.2023;[Epub]     CrossRef
  • Diabetes mellitus early warning and factor analysis using ensemble Bayesian networks with SMOTE-ENN and Boruta
    Xuchun Wang, Jiahui Ren, Hao Ren, Wenzhu Song, Yuchao Qiao, Ying Zhao, Liqin Linghu, Yu Cui, Zhiyang Zhao, Limin Chen, Lixia Qiu
    Scientific Reports.2023;[Epub]     CrossRef
  • Comparison of clinical characteristics and disease burden between early- and late-onset type 2 diabetes patients: a population-based cohort study
    Mingqi Wang, Yifei He, Qiao He, Fusheng Di, Kang Zou, Wen Wang, Xin Sun
    BMC Public Health.2023;[Epub]     CrossRef
  • ANTHROPOLOGICAL AND BIOCHEMICAL METABOLIC FACTORS IN THE NORMOGLYCEMIC, PRE-DIABETIC, AND DIABETIC METABOLIC POPULATION
    Jitender Sorout, Sudhanshu Kacker, Neha Saboo, Munesh Kumar
    Eastern Ukrainian Medical Journal.2023; 11(4): 384.     CrossRef
  • Socio-economic inequalities in diabetes and prediabetes among Bangladeshi adults
    Abdur Razzaque Sarker, Moriam Khanam
    Diabetology International.2022; 13(2): 421.     CrossRef
  • Regional estimates of noncommunicable diseases associated risk factors among adults in India: results from National Noncommunicable Disease Monitoring Survey
    Thilagavathi Ramamoorthy, Sravya Leburu, Vaitheeswaran Kulothungan, Prashant Mathur
    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
  • Factors Influencing Optimal Glucose Control among Type II Diabetes Patients: From the Health Behaviour Models’ Perspective
    Eslavath Rajkumar, GT Kruthika, Padiri Angiel Ruth, R Lakshmi, Daniel Monica, John Romate, Abraham John
    The Open Public Health Journal.2022;[Epub]     CrossRef

Epidemiol Health : Epidemiology and Health