Year: 2024 | Month: March | Volume: 14 | Issue: 3 | Pages: 1-10
DOI: https://doi.org/10.52403/ijhsr.20240301
Sociodemographic Determinants Influencing Diabetes in Eight EAG States of India
Adity Kumari1, Dr. Sheela Misra2
1Research Scholar, Department of Statistics, University of Lucknow, Lucknow, India.
2Professor, Department of Statistics, University of Lucknow, Lucknow, India.
Corresponding Author: Adity Kumari
ABSTRACT
Introduction: In India Diabetes has been on the rise over the past few decades. India is one of the top nations having the greatest percentage of adult diabetics as of 2022. Men and women are affected differently by different lifestyle diseases hence separate measurements should be used to analyse their prevalence. Diabetes is measured by the glucose level in the blood. The objective of the current study is to determine the socio-demographic and health factors that are associated with Diabetes among women of reproductive age in the eight Empowered Action Group (EAG) states of India.
Methods: The prevalence of Diabetes in different EAG states was determined using the NFHS-5 dataset, where glucose level was used as a measure of diabetes. Multivariable logistic regression was then employed to find the different sociodemographic and health indicators with Glucose level as a dependent variable among the non-pregnant women of reproductive age (15 – 49).
Results: The association of diabetes in women was stronger for older age group, poor women of rural areas. Smoking is also a significant factor. The risk of diabetes also increases for those women who were overweight, anaemic, had thyroid, high waist-to-hip ratio and high blood pressure. Those women who had high frequency of healthy food intake are also at risk.
Conclusion: The findings reveal that the design for targeted intervention from the eight EAG State Government and other stakeholders is required for rural women of higher age groups. The detailed state-level association will enable them to create evidence-based interventions to successfully stop the progression of diabetes and manage their complications.
Key words: Glucose Level, NFHS-5, EAG States, Reproductive Age, Lifestyle diseases, Logistic regression.