Annual Meeting Recordings are now available for purchase
297385
Geographic Disparities of Asthma Prevalence in the Southwestern United States
Monday, November 17, 2014
: 2:30 PM - 2:45 PM
Lung-Chang Chien, DrPH
,
Research to Advance Community Health Center, University of Texas Health Science Center at San Antonio Regional Campus, San Antonio, TX
Abul Alamgir, PHD
,
UNIVERSITY OF TEXAS SCHOOL of PUBLIC HEALTH AT SAN ANTONIO REGIONAL CAMPUS, San Antonio, TX
Asthma is one of the most prevalent chronic diseases in the U.S., and many of its risk factors have so far been investigated and identified; however, evidence is limited on how spatial and geographic disparities impact asthma. The purpose of this study was to provide scientific evidence on the geographic heterogeneity of asthma in the four states of southwestern U.S. (California, Arizona, New Mexico, and Texas) which includes 360 counties. The Behavioral Risk Factor Surveillance System database for these four states covering a period of 2000 to 2011 was used in this analysis, and a Bayesian structured additive regression model was applied to analyze geographic information system. After adjusting individual characteristics, socioeconomic status, and health behaviors, this study has determined that higher odds attributed to location for asthma more likely cluster around the Bay area in California, while lower odds appear in several counties around large cities of Texas, such as Dallas, Houston, and San Antonio. The significance map shows 17 of 360 counties (4.72%) to be high-risk areas for asthma. The level of geographic disparities demonstrates that the county risk of asthma prevalence is about 20.38% (95% confidence interval = 15.64-26.45) higher or lower than the overall asthma prevalence. We provided an efficient method to utilize and interpret existing surveillance data. Within our study area, high-risk areas of asthma were greater in northern California. The visualization may help deliver future interventions on targeted areas and vulnerable populations to reduce geographic disparities in asthma burden.
Learning Areas:
Biostatistics, economics
Epidemiology
Public health or related research
Learning Objectives:
Analyze GIS data by a Bayesian spatiotemporal modeling approach to identify vulnerable areas and evaluate geographic disparities for asthma prevalence among adults living in the southwestern U.S.
Keyword(s): Asthma, Geographic Information Systems (GIS)
Presenting author's disclosure statement:Qualified on the content I am responsible for because: I have been conducting location and human health related research since 2009, and implemented GIS to investigate the spatial impact and geographic disparities since 2011. The most significant achievement of my spatiotemporal study is the influence of Asian dust storm on children's
health, which has been published in famous peer-reviewed journals, such as Environmental Health Perspectives and PLoS-ONE. This asthma study has also been accepted by Geospatial Health journal as well.
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.