학술논문

Lower Socio-Economic Position Associated With Higher Odds Of Diabetes-Depression Comorbidity
Document Type
Conference
Source
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Engineering in Medicine & Biology Society (EMBC), 2021 43rd Annual International Conference of the IEEE. :2087-2090 Nov, 2021
Subject
Bioengineering
Economics
Data analysis
Surveillance
Biology
Diabetes
Logistics
Diseases
Depression
Comorbidity
Socioeconomic position
Logistics Regression
Machine Learning
Language
ISSN
2694-0604
Abstract
Diabetes-depression comorbidity (DDC) adversely affects the quality of life of diabetic patients, complicates the clinical treatment and makes diabetes management very challenging. Therefore, early identification and diagnosis of DDC is crucial to prevent complications and improve the health outcomes among the diabetic patients. This work explores the association between demographic, lifestyle, social economic factors and DDC. The analysis is based on data obtained from the Behavioral Risk Factor Surveillance System (BRFSS), Centers for Disease Control and Prevention (CDC), USA. Logistic Regression was used to explore this association. Women were found to have higher odds of DDC as compared to men [OR 1.30, 95%CI(1.17-1.44), p