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Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior
Published on: July 24, 2017
Consumer credit, chronic disease and risk behaviours
Lorraine T Dean1,2, Emily A Knapp1, Sevly Snguon1
1Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Lower credit scores are linked to higher chronic disease risk, including obesity, diabetes, and hypertension. This highlights area-level credit as a potential tool for identifying disease patterns.
Area of Science:
- Public Health
- Social Epidemiology
- Health Economics
Background:
- Credit scores are increasingly recognized as indicators of disease burden.
- This study explores the connection between credit scores and chronic diseases.
Purpose of the Study:
- To investigate the association between area-level credit scores and the prevalence of chronic diseases.
- To examine the relationship between credit scores and health behaviors linked to chronic diseases.
Main Methods:
- Cross-sectional analysis of 2083 Philadelphia residents in 2015.
- Utilized nine-digit ZIP code level FICO credit scores linked to self-reported chronic diseases (obesity, diabetes, hypertension) and health behaviors.
- Adjusted for individual and area-level demographics and pharmacy accessibility.
Main Results:
- A 50-point increase in ZIP code credit score correlated with significantly lower risks for chronic disease (8%), overweight/obesity (6%), diabetes (19%), hypertension (9%), and smoking (14%).
- Subprime credit scores were associated with a 15%-70% increased risk of chronic disease compared to prime ratings, showing a dose-response relationship.
- No significant associations were found for other health behaviors.
Conclusions:
- Lower area-level credit scores may correlate with higher chronic disease prevalence.
- Area-level consumer credit data could offer a novel approach to identifying patterns of chronic disease within populations.
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