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Danelle T. Lobdell  - - - 
Top co-authors See all
Jennifer Horney

17 shared publications

Department of Epidemiology and Biostatistics, Texas A&M University, College Station, Texas, USA

Elaine A. Cohen Hubal

16 shared publications

National Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA

Laura Jackson

12 shared publications

Office of Research and Development, US Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, USA

Jyotsna S. Jagai

6 shared publications

Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois at Chicago, Chicago, Illinois, USA

Shannon C. Grabich

6 shared publications

Epidemiologist, Gillings School of Global Public Health, Univ. of North Carolina at Chapel Hill, 170 Rosenau Hall, CB #7400, 135 Dauer Dr., Chapel Hill, NC 27599 (corresponding author). sgrabich@.unc.edu

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Distribution of Articles published per year 
(2003 - 2018)
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10
 
Publications See all
Article 0 Reads 0 Citations Associations between environmental quality and infant mortality in the United States, 2000–2005 Achal P. Patel, Jyotsna S. Jagai, Lynne C. Messer, Christine... Published: 15 October 2018
Archives of Public Health, doi: 10.1186/s13690-018-0306-0
DOI See at publisher website ABS Show/hide abstract
The United States (U.S.) suffers from high infant mortality (IM) rates and there are significant racial/ethnic differences in these rates. Prior studies on the environment and infant mortality are generally limited to singular exposures. We utilize the Environmental Quality Index (EQI), a measure of cumulative environmental exposure (across air, water, land, sociodemographic, and land domains) for U.S. counties from 2000 to 2005, to investigate associations between ambient environment and IM across maternal race/ethnicity. We linked 2000–2005 infant data from the U.S. Centers for Disease Control and Prevention to the EQI (n = 22,702,529; 144,741 deaths). We utilized multi-level regression to estimate associations between quartiles of county-level EQI and IM. We also considered associations between quartiles of county level domain specific indices with IM. We controlled for rural-urban status (RUCC1: urban, metropolitan; RUCC2: urban, non-metropolitan; RUCC3: less urbanized; RUCC4: thinly populated), maternal age, maternal education, marital status, infant sex, and stratified on race/ethnicity. Additionally, we estimated associations for linear combinations of environmental quality and rural-urban status. We found a mix of positive, negative, and null associations and our findings varied across domain and race/ethnicity. Poorer overall environmental quality was associated with decreased odds among Non-Hispanic whites (OR and 95% CI: EQIQ4 (ref. EQIQ1): 0.84[0.80,0.89]). For Non-Hispanic blacks and Hispanics, some increased odds were observed. Poorer air quality was monotonically associated with increased odds among Non-Hispanic whites (airQ4 (ref. airQ1): 1.05[0.99,1.11]) and blacks (airQ4 (ref. airQ1): 1.09 [0.9,1.31]). Rural status was associated with increased IM odds among Hispanics (RUCC4-Q4:1.36[1.04,1.78]; RUCC1-Q4: 1.04[0.92,1.16], ref. for both RUCC1-Q1). This study is the first to report on associations between ambient environmental quality and IM across the United States. It corroborates prior research suggesting an association between air pollution and IM and identifies residence in thinly populated (rural) areas as a potential risk factor towards IM amongst Hispanics. Some of the counterintuitive findings highlight the need for additional research into potentially differential drivers of environmental quality across the rural-urban continuum, especially with regards to the sociodemographic environment.
Article 0 Reads 1 Citation The association between physical inactivity and obesity is modified by five domains of environmental quality in U.S. adu... Christine L. Gray, Lynne C. Messer, Kristen M. Rappazzo, Jyo... Published: 30 August 2018
PLOS ONE, doi: 10.1371/journal.pone.0203301
DOI See at publisher website ABS Show/hide abstract
Physical inactivity is a primary contributor to the obesity epidemic, but may be promoted or hindered by environmental factors. To examine how cumulative environmental quality may modify the inactivity-obesity relationship, we conducted a cross-sectional study by linking county-level Behavioral Risk Factor Surveillance System data with the Environmental Quality Index (EQI), a composite measure of five environmental domains (air, water, land, built, sociodemographic) across all U.S. counties. We estimated the county-level association (N = 3,137 counties) between 2009 age-adjusted leisure-time physical inactivity (LTPIA) and 2010 age-adjusted obesity from BRFSS across EQI tertiles using multi-level linear regression, with a random intercept for state, adjusted for percent minority and rural-urban status. We modelled overall and sex-specific estimates, reporting prevalence differences (PD) and 95% confidence intervals (CI). In the overall population, the PD increased from best (PD = 0.341 (95% CI: 0.287, 0.396)) to worst (PD = 0.645 (95% CI: 0.599, 0.690)) EQI tertile. We observed similar trends in males from best (PD = 0.244 (95% CI: 0.194, 0.294)) to worst (PD = 0.601 (95% CI: 0.556, 0.647)) quality environments, and in females from best (PD = 0.446 (95% CI: 0.385, 0.507)) to worst (PD = 0.655 (95% CI: 0.607, 0.703)). We found that poor environmental quality exacerbates the LTPIA-obesity relationship. Efforts to improve obesity through LTPIA may benefit from considering this relationship.
Article 0 Reads 0 Citations Additive Interaction between Heterogeneous Environmental Quality Domains (Air, Water, Land, Sociodemographic, and Built ... Shannon C. Grabich, Kristen M. Rappazzo, Jyotsna S. Jagai, Y... Published: 24 October 2016
Frontiers in Public Health, doi: 10.3389/fpubh.2016.00232
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Background: Environmental exposures often occur in tandem; however, epidemiological research often focuses on singular exposures. Statistical interactions among broad, well-characterized environmental domains have not yet been evaluated in association with health. We address this gap by conducting a county-level cross-sectional analysis of interactions between Environmental Quality Index (EQI) domain indices on preterm birth in the Unites States from 2000 to 2005.
Article 3 Reads 3 Citations Measuring the Storm: Methods of Quantifying Hurricane Exposure with Pregnancy Outcomes S. C. Grabich, J. Horney, C. Konrad, D. T. Lobdell Published: 01 February 2016
Natural Hazards Review, doi: 10.1061/(asce)nh.1527-6996.0000204
DOI See at publisher website
Article 0 Reads 3 Citations The associations between environmental quality and preterm birth in the United States, 2000–2005: a cross-sectional anal... Kristen M. Rappazzo, Lynne C. Messer, Jyotsna S. Jagai, Chri... Published: 09 June 2015
Environmental Health, doi: 10.1186/s12940-015-0038-3
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Many environmental factors have been independently associated with preterm birth (PTB). However, exposure is not isolated to a single environmental factor, but rather to many positive and negative factors that co-occur. The environmental quality index (EQI), a measure of cumulative environmental exposure across all US counties from 2000—2005, was used to investigate associations between ambient environment and PTB.
Article 0 Reads 9 Citations Construction of an environmental quality index for public health research Lynne C Messer, Jyotsna S Jagai, Kristen M Rappazzo, Danelle... Published: 22 May 2014
Environmental Health, doi: 10.1186/1476-069x-13-39
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
A more comprehensive estimate of environmental quality would improve our understanding of the relationship between environmental conditions and human health. An environmental quality index (EQI) for all counties in the U.S. was developed.
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