142nd APHA Annual Meeting and Exposition

Annual Meeting Recordings are now available for purchase

311799
Neighborhood Quality of Life and Health (NQOLH) Rankings: The Atlanta Dashboard

142nd APHA Annual Meeting and Exposition (November 15 - November 19, 2014): http://www.apha.org/events-and-meetings/annual
Tuesday, November 18, 2014 : 11:30 AM - 11:50 AM

Nisha Botchwey, MPH, MCRP, PHD , School of City and Regional Planning, Georgia Institute of Technology, Atlanta, GA
Subhro Guhathakurta, PhD , School of City and Regional Planning, Georgia Institute of Technology, Atlanta, GA
Kirsten Westergren, BA, (MCRP, in progress) , School of City and Regional Planning, Georgia Institute of Technology, Atlanta, GA
Susannah Lee, MCRP , Center for Geographic Information Systems, Georgia Institute of Technology, Atlanta, GA
Ge Zhang, PhD , Center for Geographic Information Systems, Georgia Institute of Technology, Atlanta, GA
Lindsay Anderson , Center for Geographic Information Systems, Georgia Institute of Technology, Atlanta, GA
Background: The Atlanta Neighborhood Quality of Life and Health Project (NQOLH) confirms the notion of “healthography” through novel geographic information systems (GIS) data analysis, interpretation and application. NQoLH demonstrates that neighborhood of residence directly affects one’s health outcomes and quality of life, and that both are critical considerations in determining neighborhood planning and health promotion strategies.

Methods: NQoLH first develops a multi-attribute neighborhood quality of life index that examines place-based amenities and the social and physical environment at the neighborhood level. Second, the study assesses the status of neighborhood health based on measures of healthy food access, physical activity, and mortality and morbidity in neighborhood populations. Finally, the study compares the indices across the 25 Atlanta neighborhoods grouped by a socioeconomic status index.

Results: The results show that:

1) the relationship between neighborhood quality of life and health in Atlanta is significant; and

2) neighborhoods with relatively high quality of life and high health indicators are found in all socioeconomic neighborhoods categories.

Conclusions: The neighborhood indicators identified in this study can be used as a benchmark tool to aid policy and resource allocation decisions. While this data-driven case study is based in Atlanta, the GIS analysis and interpretation of data is replicable in other cities. Participants will answer place-based questions through an exercise using the interactive NQOLH website. This experiential learning exercise enables participants to adapt the NQOLH dashboard to other regions and identify ways of addressing health issues as they relate to specified social and physical environments.

Learning Areas:

Assessment of individual and community needs for health education
Planning of health education strategies, interventions, and programs
Public health or related organizational policy, standards, or other guidelines

Learning Objectives:
Compare neighborhoods across indices to determine how different indicators of the social and physical environment affect quality of life and health in neighborhoods of varying socioeconomic conditions. Design an adapted system of indices for another set of City neighborhoods. Assess necessary neighborhood planning and community health strategies according to NQoLH results for selected neighborhoods.

Keyword(s): Built Environment, Community Health Planning

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am co-lead for the project and developed the original research. I also lead the qualitative and overall project direction for our team.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.