Causal Association between Child Opportunity Index (COI) and A1C levels in Type II Diabetes Patients

Lisa Shauver Co-Author
Akron Children's Hospital
 
Kevin Stoll Co-Author
Welltower
 
Michael Forbes Co-Author
Akron Children Hospital
 
Michael Oravec Co-Author
Akron Children Hospital
 
Jonathan Pelletier Co-Author
Akron Children Hospital
 
Ryan Heksch Co-Author
Akron Children Hospital
 
Sima Sharghi First Author
Akron Children's Hospital
 
Sima Sharghi Presenting Author
Akron Children's Hospital
 
Tuesday, Aug 5: 2:20 PM - 2:35 PM
1938 
Contributed Papers 
Music City Center 
The Child Opportunity Index (COI) is a comprehensive measure that captures various dimensions of neighborhood environments, which may impact health outcomes. This study aims to explore the causal relationship between COI and glycemic control measured by A1C levels in individuals diagnosed with type 2 diabetes. Utilizing a robust dataset from patients at Akron Children's Hospital that includes zip code, COI, and various clinical and demographic information, we employ advanced causal inference methods to elucidate this association.
Our analysis focuses on a diverse cohort, examining how variations in COI influence A1C levels over the first year following diagnosis. Preliminary findings suggest that higher COI scores, indicative of more favorable neighborhood conditions, are associated with better A1C outcomes.
This study underscores the importance of considering social determinants of health in managing type 2 diabetes and highlights the potential of COI as a valuable tool for identifying at-risk populations.

Keywords

Causal Infrence

Health Disparities

Social Determinant of Health

Public Data

Child Opportunity Index

Tye 2 Diabetes 

Main Sponsor

Section on Statistical Learning and Data Science