Full Citation
Title: How Food Stamp Usage Impacts the BMI: A Quantile Regression Approach
Citation Type: Journal Article
Publication Year: 2018
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Abstract: Obesity becomes a worldwide problem, representing an important public health issue. An evaluation of obesity and its related direct and indirect economical costs are crucial for providing recommendations for policy makers. Besides its direct relation with health problems, some economical costs arise with obesity such as productivity costs due to absenteeism. This study examines the relationship between Food Stamp Program (now referred to as Supplemental Nutrition Assistance Program-SNAP) participation which is representing low income group and body mass index (BMI). The study also includes the different income group and demographic factors which are potentially effective on BMI an application with quantile regression approach in SAS 9.4. The results indicate that female is negatively associated with high BMI. Another important result is that health status especially alcohol and smoking usage are negatively related with BMI for obese or overweight group. FS participants are statistically significant on higher quantiles which are overweight and obese groups.
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Authors: Atasoy, Filiz Guneysu
Periodical (Full): International Journal of Research in Technology and Management
Issue: 4
Volume: 4
Pages: 1-5
Data Collections: IPUMS Health Surveys - NHIS
Topics: Health, Other, Population Health and Health Systems
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