Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Comparative Analysis | 1 |
| Correlation | 1 |
| Eligibility | 1 |
| Ethnicity | 1 |
| Evaluation Methods | 1 |
| Family Income | 1 |
| Health | 1 |
| Health Behavior | 1 |
| High School Students | 1 |
| Institutional Characteristics | 1 |
| Lunch Programs | 1 |
| More ▼ | |
Source
| Journal of School Health | 1 |
Author
| Day, Sophia E. | 1 |
| Gupta, Leena | 1 |
| Harris, Tiffany G. | 1 |
| Hinterland, Kinjia | 1 |
| Konty, Kevin J. | 1 |
| Myers, Christa | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| High Schools | 1 |
| Secondary Education | 1 |
Audience
Location
| New York | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Youth Risk Behavior Survey | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkDay, Sophia E.; Hinterland, Kinjia; Myers, Christa; Gupta, Leena; Harris, Tiffany G.; Konty, Kevin J. – Journal of School Health, 2016
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…
Descriptors: Poverty, Eligibility, Lunch Programs, Race
