This article presents an overview of the Louisiana Community Oil Spill Survey (COSS), the dataset used in "Community Sentiment following the Deepwater Horizon Oil Spill Disaster: A Test of Time, Systemic Community, and Corrosive Community Models" [1] as well as elsewhere [2-6]. The COSS, administered by the Louisiana State University's Public Policy Research Laboratory, consists of five waves of cross-sectional trend data attuned to the characteristics and effects of the 2010 BP Deepwater Horizon (BP-DH) oil spill on those coastal Louisiana residents most affected by the disaster. Respondents were randomly drawn from a list of nearly 6,000 households in the coastal Louisiana zip codes located in Lafourche Parish, Plaquemines Parish, Terrebonne Parish, and the community of Grand Isle.
View Article and Find Full Text PDFBackground: Annual evaluations of the Mississippi Healthy Students Act of 2007 (MHSA) were conducted during 2009-2011 (years 1-3) among 4 stakeholder groups: (1) parents of public school students, (2) adolescents, (3) state-level policymakers (ie, legislators and other state officials), and (4) public school officials (ie, superintendents and school board members).
Methods: We examine results from the first state-wide surveys conducted among purposive samples of superintendents (N = 314) and school board members (N = 689) on childhood obesity as it related to MHSA. These school officials were surveyed in years 1-3 to determine their knowledge or attitudes toward MHSA and support of potential policies, such as reporting results of student body mass index (BMI) assessments to parents.
On April 20, 2010, the BP-leased Deepwater Horizon (BP-DH) oil rig exploded, resulting in the largest marine oil spill in history. In this paper we utilize one-of-a-kind household survey data-the Louisiana Community Oil Spill Survey-to examine the impacts of the BP-DH disaster on the mental and physical health of spill affected residents in coastal Louisiana, with a special focus on the influence of community attachment and natural resource employment. We find that levels of both negative mental and physical health were significantly more pronounced at baseline compared to later time points.
View Article and Find Full Text PDFIntroduction: Child care health consultants (CCHCs) are health professionals who provide consultation and referral services to child care programs. The use of CCHCs has been recommended as an important component of high-quality child care. The purpose of this study was to examine the potential association between the use of paid CCHCs and child care center director reports of (a) center maintenance of health records and emergency procedures and (b) center facilitation of health screenings and assessments.
View Article and Find Full Text PDFAnnual evaluations of the Mississippi Healthy Students Act of 2007 (MHSA) were conducted from 2009-2011 among four stakeholder groups: (1) parents of public school students; (2) adolescents; (3) school officials (e.g., superintendents); (4) state-level policymakers (e.
View Article and Find Full Text PDFBackground: Chronic disease accounts for nearly three-quarters of US deaths, yet prevalence rates are not consistently reported at the state level and are not available at the sub-state level. This makes it difficult to assess trends in prevalence and impossible to measure sub-state differences. Such county-level differences could inform and direct the delivery of health services to those with the greatest need.
View Article and Find Full Text PDFIntroduction: Directors of Head Start (HS) and non-Head Start (non-HS) child care centers were surveyed to compare health consultation and screening for and prevalence of health risks among enrolled children.
Methods: Directors of licensed centers from five states were surveyed from 2004 to 2005. Data were analyzed using cross-tabulation and logistic regression techniques.
Heart disease is the leading cause of death in the U.S. Yet, prevalence rates are not reported at the county level.
View Article and Find Full Text PDFWe explored how place shapes mortality by examining 35 consecutive years of US mortality data. Mapping age-adjusted county mortality rates showed both persistent temporal and spatial clustering of high and low mortality rates. Counties with high mortality rates and counties with low mortality rates both experienced younger population out-migration, had economic decline, and were predominantly rural.
View Article and Find Full Text PDFMaps are increasingly used to visualize and analyze data, yet the spatial ramifications of data structure are rarely considered. Data are subject to transformations made throughout the research process and then used to map, visualize and conduct spatial analysis. We used mortality data to answer three research questions: Are there spatial patterns to mortality, are these patterns statistically significant, and are they persistent across time? This paper provides differential spatial patterns by implementing six data transformations: standardization, cut-points, class size, color scheme, spatial significance and temporal mapping.
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