Objective: We examined if racial residential segregation (RRS) - a fundamental cause of disease - is independently associated with air pollution after accounting for other neighborhood and individual-level sociodemographic factors, to better understand its potential role as a confounder of air pollution-health studies.
Methods: We compiled data from eight large cohorts, restricting to non-Hispanic Black and White urban-residing participants observed at least once between 1999 and 2005. We used 2000 decennial census data to derive a spatial RRS measure (divergence index) and neighborhood socioeconomic status (NSES) index for participants' residing Census tracts, in addition to participant baseline data, to examine associations between RRS and sociodemographic factors (NSES, education, race) and residential exposure to spatiotemporal model-predicted PM and NO levels.
Multi-site and multi-organizational teams are increasingly common in epidemiologic research; however, there is a lack of standards or best practices for achieving success in collaborative research networks in epidemiology. We summarize our experiences and lessons learned from the Diabetes Location, Environmental Attributes, and Disparities (LEAD) Network, a collaborative agreement between the Centers for Disease Control and Prevention and research teams at Drexel University, New York University, Johns Hopkins University and Geisinger, and the University of Alabama at Birmingham. We present a roadmap for success in collaborative epidemiologic research, with recommendations focused on the following areas to maximize efficiency and success in collaborative research agreements: 1) operational and administrative considerations; 2) data access and sharing of sensitive data; 3) aligning network research aims; 4) harmonization of methods and measures; and 5) dissemination of findings.
View Article and Find Full Text PDFBackground: While randomized controlled trials (RCTs) in asthma management are designed to balance known and unknown variables across treatment groups, including social and environmental co-exposures, it remains important to consider how these co-exposures influence disease progression and treatment outcomes. The importance of considering socio-environmental co-exposures in the context of asthma is twofold: 1) asthma disproportionately affects low-income urban communities, where air pollution and chronic stress are pervasive; and 2) despite the wide range of asthma treatments, inadequate disease control persists.
Methods: In the present ancillary study of the Step-Up Yellow Zone Inhaled Corticosteroids to Prevent Exacerbations (STICS) RCT, we investigated how socio-environmental factors, such as air pollution exposure and healthcare access, modify the effect of inhaled corticosteroid (ICS) therapy in children with asthma.
Objective: We tested whether the implementation of standardized, high-fidelity screening for autism during routine well-child check-ups results in the following: increasing the number of children with suspected autism referred to diagnostic evaluation; lowering the age at which they are referred; and facilitating autism diagnosis for children across a more diverse range of demographic backgrounds and clinical presentations, including those with subtle manifestations.
Method: As part of a multi-site cluster randomized trial, pediatric practices were randomly assigned to an experimental condition involving training and supervision in the universal, standardized, high-fidelity implementation of the Modified Checklist for Autism in Toddlers, Revised with Follow-Up (M-CHAT-R/F), or a usual care condition. Children in both conditions identified as having a high likelihood of autism during well-child visits were referred to a diagnostic evaluation conducted by clinicians naive to referral source.
Background: There is a critical gap in understanding the symptom experience and health outcomes of older adults with and without Alzheimer's Disease and related dementias (ADRD) and polypharmacy (PPY). The primary aim of the study was to compare the number of symptoms experienced over time in older adults with and without ADRD by polypharmacy status. The secondary aim was to examine the trajectory of physical function and health outcomes over time in each group.
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