Geographic Health Atlas: A Guide to a Visualization Resource for Social and Structural Health Determinants
Overview
The Geographic Health Atlas provides a centralized platform for accessing place-based data that influences health outcomes. It aims to enhance public health interventions by visualizing social and structural determinants of health across various geographic levels.
Background
Understanding the impact of geographic location on health outcomes is crucial for effective public health strategies. Social determinants such as access to food, housing, and healthcare, along with structural factors like policies and governance, significantly shape health disparities. The Health Atlas serves as a vital resource for researchers and practitioners to analyze these determinants systematically.
Data Highlights
Data Domains
Number of Variables
Demographics
206
Socioeconomic
206
Neighborhood
206
Environment
206
Health and Health Care
206
Key Findings
The Health Atlas includes data across 7 geographic levels, primarily at the census tract level.
It provides access to 206 variables across five topical domains related to health determinants.
The platform was developed by UCSF to facilitate the exploration of place-based health factors.
Publicly accessible data has expanded significantly over the last decade, although it remains fragmented.
Health Atlas aims to support public health interventions by providing a comprehensive view of social and structural determinants.
Clinical Implications
Healthcare professionals can utilize the Health Atlas to identify and address social determinants impacting their patient populations.
Conclusion
The Geographic Health Atlas represents a significant advancement in the accessibility of place-based health data.
by Debora L Oh, Kathryn E Kemper-McIsaac, Dan Meltzer, Eric Brelsford, Kelsey Taylor, Dhananjay Vinay Dixit, Andrea Nickerson, Riya Desai, Salma Shariff-Marco, Courtney Lyles, Scarlett Gomez, Mark J Pletcher, Mindy C DeRouen
In a pooled analysis of two randomized crossover trials, reducing nightly sleep by about 1.5 hours for 6 weeks was associated with modest increases in body weight and waist circumference without measurable changes in body composition.