Last data update: May 06, 2024. (Total: 46732 publications since 2009)
Records 1-5 (of 5 Records) |
Query Trace: Shriber J[original query] |
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Ambient air pollution and in vitro fertilization treatment outcomes
Boulet SL , Zhou Y , Shriber J , Kissin DM , Strosnider H , Shin M . Hum Reprod 2019 34 (10) 2036-2043 STUDY QUESTION: Is air pollution associated with IVF treatment outcomes in the USA? SUMMARY ANSWER: We did not find clear evidence of a meaningful association between reproductive outcomes and average daily concentrations of particulate matter with an aerodynamic diameter </=2.5 mum (PM2.5) and ozone (O3). WHAT IS KNOWN ALREADY: Maternal exposure to air pollution such as PM2.5, nitrogen oxides, carbon monoxide or O3 may increase risks for adverse perinatal outcomes. Findings from the few studies using data from IVF populations to investigate associations between specific pollutants and treatment outcomes are inconclusive. STUDY DESIGN, SIZE AND DURATION: Retrospective cohort study of 253 528 non-cancelled fresh, autologous IVF cycles including 230 243 fresh, autologous IVF cycles with a transfer of >/=1 embryo was performed between 2010 and 2012. PARTICIPANTS/MATERIALS, SETTING, METHODS: We linked 2010-2012 National ART Surveillance System data for fresh, autologous IVF cycles with the ambient air pollution data generated using a Bayesian fusion model available through the Centers for Disease Control and Prevention's Environmental Public Health Tracking Network. We calculated county-level average daily PM2.5 and O3 concentrations for three time periods: cycle start to oocyte retrieval (T1), oocyte retrieval to embryo transfer (T2) and embryo transfer +14 days (T3). Multivariable predicted marginal proportions from logistic and log-linear regression models were used to estimate adjusted risk ratios (aRR) and 95% CI for the association between reproductive outcomes (implantation rate, pregnancy and live birth) and interquartile increases in PM2.5 and O3. The multipollutant models were also adjusted for patients and treatment characteristics and accounted for clustering by clinic and county of residence. MAIN RESULTS AND THE ROLE OF CHANCE: For all exposure periods, O3 was weakly positively associated with implantation (aRR 1.01, 95% CI 1.001-1.02 for T1; aRR 1.01, 95% CI 1.001-1.02 for T2 and aRR 1.01, 95% CI 1.001-1.02 for T3) and live birth (aRR 1.01, 95% CI 1.002-1.02 for T1; aRR 1.01, 95% CI 1.004-1.02 for T2 and aRR 1.02, 95% CI 1.004-1.03 for T3). PM2.5 was not associated with any of the reproductive outcomes assessed. LIMITATIONS, REASONS FOR CAUTION: The main limitation of this study is the use of aggregated air pollution data as proxies for individual exposure. The weak positive associations found in this study might be related to confounding by factors that we were unable to assess and may not reflect clinically meaningful differences. WIDER IMPLICATIONS OF THE FINDINGS: More research is needed to assess the impact of air pollution on reproductive function. STUDY FUNDING/COMPETING INTEREST(S): None. |
Characterizing environmental asthma triggers and healthcare use patterns in Puerto Rico
Lewis LM , Mirabelli MC , Beavers SF , Kennedy CM , Shriber J , Stearns D , Morales Gonzalez JJ , Santiago MS , Felix IM , Ruiz-Serrano K , Dirlikov E , Lozier MJ , Sircar K , Flanders WD , Rivera-Garcia B , Irizarry-Ramos J , Bolanos-Rosero B . J Asthma 2019 57 (8) 1-12 Objective: Asthma carries a high burden of disease for residents of Puerto Rico. We conducted this study to better understand asthma-related healthcare use and to examine potential asthma triggers. Methods: We characterized asthma-related healthcare use in 2013 by demographics, region, and date using outpatient, hospital, and emergency department (ED) insurance claims with a primary diagnostic ICD-9-CM code of 493.XX. We examined environmental asthma triggers, including outdoor allergens (i.e., mold and pollen), particulate pollution, and influenza-like illness. Analyses included descriptive statistics and Poisson time-series regression. Results: During 2013, there were 550,655 medical asthma claims reported to the Puerto Rico Healthcare Utilization database, representing 148 asthma claims/1,000 persons; 71% of asthma claims were outpatient visits, 19% were hospitalizations, and 10% were ED visits. Females (63%), children aged </=9 years (77% among children), and adults aged >/=45 years (80% among adults) had the majority of asthma claims. Among health regions, Caguas had the highest asthma claim-rate at 142/1,000 persons (overall health region claim-rate = 108). Environmental exposures varied across the year and demonstrated seasonal patterns. Metro health region regression models showed positive associations between increases in mold and particulate matter <10 microns in diameter (PM10) and outpatient asthma claims. Conclusions: This study provides information about patterns of asthma-related healthcare use across Puerto Rico. Increases in mold and PM10 were associated with increases in asthma claims. Targeting educational interventions on exposure awareness and reduction techniques, especially to persons with higher asthma-related healthcare use, can support asthma control activities in public health and clinical settings. |
Relating coccidioidomycosis (valley fever) incidence to soil moisture conditions
Coopersmith EJ , Bell JE , Benedict K , Shriber J , McCotter O , Cosh MH . Geohealth 2017 1 (1) 51-63 Coccidioidomycosis (also called Valley fever) is caused by a soilborne fungus, Coccidioides spp., in arid regions of the southwestern United States. Though some who develop infections from this fungus remain asymptomatic, others develop respiratory disease as a consequence. Less commonly, severe illness and death can occur when the infection spreads to other regions of the body. Previous analyses have attempted to connect the incidence of coccidioidomycosis to broadly available climatic measurements, such as precipitation or temperature. However, with the limited availability of long-term, in situ soil moisture data sets, it has not been feasible to perform a direct analysis of the relationships between soil moisture levels and coccidioidomycosis incidence on a larger temporal and spatial scale. Utilizing in situ soil moisture gauges throughout the southwest from the U.S. Climate Reference Network and a model with which to extend those estimates, this work connects periods of higher and lower soil moisture in Arizona and California between 2002 and 2014 to the reported incidence of coccidioidomycosis. The results indicate that in both states, coccidioidomycosis incidence is related to soil moisture levels from previous summers and falls. Stated differently, a higher number of coccidioidomycosis cases are likely to be reported if previous bands of months have been atypically wet or dry, depending on the location. |
Impact of a participatory analysis of a campus sustainability social network: A case study of Emory University
Chuvileva IM , Reef L , Wilt GE , Shriber J , Aleman M , Smith B . Sustainability 2017 10 (3) 193-203 Social network analysis makes visible the invisible connections and flows that underlie complex social relationships. Applied organizational researchers have used social network analysis to assess and improve organizational and leadership effectiveness by helping organizations design interventions to overcome siloing, enhance collaboration and productivity, and implement strategic innovations. Some analysts of sustainability in higher education have explicitly called for a similar use of social network analysis to enhance sustainability progress on campuses. Addressing this call and literature gap, this article details the purpose, process, and results of the Mapping Emory's Sustainability Social Network project at Emory University (Atlanta, Georgia). The project had three major components: 1.) researching and creating visual maps of the university's sustainability collaboration networks, 2.) engaging key stakeholders and the wider campus sustainability community in participatory analysis of the results, and 3.) evaluating the effectiveness of this information for community members in deepening their own sustainability thinking and practice. The project demonstrates the power of social network analysis as a critical tool to engage and mobilize staff, faculty, and students in sustainability on campus by supporting evidence-based, strategic decision making among community leaders. |
Assessment of vulnerability to coccidioidomycosis in Arizona and California
Shriber J , Conlon KC , Benedict K , McCotter OZ , Bell JE . Int J Environ Res Public Health 2017 14 (7) Coccidioidomycosis is a fungal infection endemic to the southwestern United States, particularly Arizona and California. Its incidence has increased, potentially due in part to the effects of changing climatic variables on fungal growth and spore dissemination. This study aims to quantify the county-level vulnerability to coccidioidomycosis in Arizona and California and to assess the relationships between population vulnerability and climate variability. The variables representing exposure, sensitivity, and adaptive capacity were combined to calculate county level vulnerability indices. Three methods were used: (1) principal components analysis; (2) quartile weighting; and (3) percentile weighting. Two sets of indices, "unsupervised" and "supervised", were created. Each index was correlated with coccidioidomycosis incidence data from 2000-2014. The supervised percentile index had the highest correlation; it was then correlated with variability measures for temperature, precipitation, and drought. The supervised percentile index was significantly correlated (p < 0.05) with coccidioidomycosis incidence in both states. Moderate, positive significant associations (p < 0.05) were found between index scores and climate variability when both states were concurrently analyzed and when California was analyzed separately. This research adds to the body of knowledge that could be used to target interventions to vulnerable counties and provides support for the hypothesis that population vulnerability to coccidioidomycosis is associated with climate variability. |
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