A School-Level Proxy Measure for Individual-Level Poverty Using School-Level Eligibility for Free and Reduced-Price Meals

J Sch Health. 2016 Mar;86(3):204-14. doi: 10.1111/josh.12371.

Abstract

Background: Socioeconomic status (SES) impacts health outcomes. The Youth Risk Behavior Survey (YRBS), like many school-based data sources, lacks individual-level poverty information. We propose using school-level percentages of student eligibility for free/reduced-price meals (%FRPM) as a proxy for individual-level poverty.

Methods: Using the New York City (NYC) 2009 YRBS, we created school-level poverty quartiles to append to individual YRBS records by ranking schools by %FRPM. We compared this with 2 other school-level poverty measures using students' home and school neighborhood-level poverty and measured the association of these 3 school-level proxies with individual's household income. Last, we evaluated health outcomes by race/ethnicity and poverty to demonstrate the importance of accounting for poverty.

Results: The school-level measure that used %FRPM had the strongest association with household income. When the school-level individual poverty proxy was included in illustrative analyses using YRBS data, patterns by poverty within race/ethnicity emerged that were not seen when looking at race/ethnicity alone.

Conclusions: Using a poverty measure to analyze school-based data will provide a better understanding of the impact of SES on health outcomes. Based on our evaluation, when individual-level information is not available, we propose using school-level %FRPM, which are publicly available throughout the United States.

Keywords: child and adolescent health; evaluation; health-risk behaviors; methods and materials of instruction; public health; research.

MeSH terms

  • Female
  • Food Services / statistics & numerical data*
  • Humans
  • Income / statistics & numerical data*
  • Male
  • Meals
  • New York City
  • Population Surveillance / methods
  • Poverty / statistics & numerical data*
  • Reproducibility of Results
  • Residence Characteristics / statistics & numerical data*
  • Schools / statistics & numerical data*