Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Demography | 1 |
| Disadvantaged Environment | 1 |
| Geographic Location | 1 |
| Hierarchical Linear Modeling | 1 |
| Hypertension | 1 |
| Hypothesis Testing | 1 |
| Incidence | 1 |
| Neighborhoods | 1 |
| Predictor Variables | 1 |
| Resource Allocation | 1 |
| Risk | 1 |
| More ▼ | |
Source
| American Journal of Health… | 1 |
Author
| Aronson, Robert | 1 |
| Bibeau, Daniel L. | 1 |
| Cathorall, Michelle L. | 1 |
| Peachey, Andrew | 1 |
| Schulz, Mark | 1 |
| Xin, Huaibo | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
| North Carolina | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkCathorall, Michelle L.; Xin, Huaibo; Peachey, Andrew; Bibeau, Daniel L.; Schulz, Mark; Aronson, Robert – American Journal of Health Education, 2015
Purpose: To examine the extent to which neighborhood disadvantage accounts for variation in blood pressure. Methods: Demographic, biometric, and self-reported data from 19,261 health screenings were used. Addresses of participants were geocoded and located within census block groups (n = 14,510, 75.3%). Three hierarchical linear models were…
Descriptors: Neighborhoods, Hypertension, Demography, Stress Variables
