Geographic Variation and Associated Covariates of Diabetes Prevalence in India | Zendy

Andrés Hernández | Zendy; Peng Jia | Zendy; HaeYoung Kim | Zendy; Diego F. Cuadros | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Geographic Variation and Associated Covariates of Diabetes Prevalence in India

Author(s) -

Andrés Hernández,

Peng Jia,

HaeYoung Kim,

Diego F. Cuadros

Publication year - 2020

Publication title -

jama network open

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.278

H-Index - 39

ISSN - 2574-3805

DOI - 10.1001/jamanetworkopen.2020.3865

Subject(s) - covariate , geographic variation , variation (astronomy) , diabetes mellitus , demography , geography , medicine , regional variation , environmental health , statistics , population , sociology , political science , mathematics , endocrinology , physics , astrophysics , law

Key Points Question What factors characterize the geographical distribution, associated socioeconomic and behavioral covariates, and overlap with tuberculosis endemicity of diabetes in India? Findings In this cross-sectional study of 803 164 individuals living in India, the observed spatial variation of diabetes revealed spatial clustering of diabetes prevalence, which was associated with behavioral and socioeconomic factors, such as income, consuming alcohol, and smoking tobacco. Despite evidence for diabetes-tuberculosis interaction at the individual level, there was a lack of consistent geographic overlap between both diseases at the national scale. Meaning This study adds to known risk factors associated with diabetes and identifies areas where diabetes prevalence is concentrated, including where potential overlap with tuberculosis occurs.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research