4258.1: Tuesday, November 14, 2000 - Board 9

Abstract #9992

Using GIS to explore the relationship between socioeconomic factors and asthma mortality in Maryland

Amy Rebecca Chapin, MPH1, Robert Anthony Venezia, DrPH, MS1, and Andrew Sawyers, MS2. (1) Office of Environmental Health Coordination, Maryland Department of Health and Mental Hygiene, 201 W. Preston St, Room 322, Baltimore, MD 21201, 410-767-8461, chapina@dhmh.state.md.us, (2) Baltimore Urban League, 512 Orchard Street, Baltimore, MD 21201

Over the past 20 years, the prevalence of asthma, measured by either the number of asthma-related deaths or the frequency of hospital admissions, has increased, making asthma one of the most common chronic diseases in the United States. Several studies suggest that non-whites and persons with low income have both higher asthma mortality rates and elevated hospital admission rates. However, detailed information concerning the socioeconomic and geographical factors associated with asthma mortality/morbidity in Maryland was previously not described. This study evolved in response to requests from a local non-profit organization to investigate the effects of socioeconomic factors on asthma-related deaths in the context of environmental justice concerns. The purpose of the study was threefold: 1) to define the extent of asthma mortality in Maryland; 2) to incorporate the results into possible interventions that target areas of high need; 3) to provide a knowledge base for future environmental health research in Maryland. Mortality data from death certificates were obtained from the Maryland Department of Health and Mental Hygiene for persons aged 5 to 34. Population estimates were derived from statistical abstracts, and socioeconomic status was defined using median community area income. Asthma mortality rates were determined for Maryland and compared with rates for the United States. Results were mapped using ArcView GIS in order to identify spatial and temporal trends associated with asthma mortality.

Learning Objectives: At the conclusion of this session, the participant will be able to: 1) Describe the magnitude of asthma mortality in Maryland 2) Identify the ways in which GIS can be used to relate socioeconomic factors and asthma mortality 3) Discuss possible interventions or asthma prevention programs for areas of high need

Keywords: Asthma, Geographic Information Systems

Presenting author's disclosure statement:
Organization/institution whose products or services will be discussed: None
I do not have any significant financial interest/arrangement or affiliation with any organization/institution whose products or services are being discussed in this session.

The 128th Annual Meeting of APHA