Rural Appalachian Women Will Suffer Disproportionately if Attempts to Further Restrict Emergency Contraception are Successful

The removal of federal abortion protection has incited fear that restrictions on contraception may be next. Many states now imposing abortion restrictions and bans are in the South and Appalachian Regions of the U.S., where rates of unplanned pregnancy and poor health outcomes are already disproportionately high. Numerous studies have documented variable access to levonorgestrel EC (LNG EC) in community pharmacies, with particularly low rates of access at independent pharmacies that are more likely to be located in rural communities than chain pharmacies. Since the overturn of Roe v. Wade, some large chain pharmacies and online retailers are restricting the purchase of LNG EC, limiting its availability. Some legislators and activists are calling for a ban on EC based on a misunderstanding about its mechanism of action, equating it with abortion. At a time when access to the full range of contraceptive options is more critical than ever, already limited access to LNG EC is worsening. Extensive data on LNG EC availability in 509 pharmacies and 400 health clinics across West Virginia, contextualized with socioeconomic demographics, illustrate existing disparities in LNG EC access

Monitoring and Assessment of Aquatic Life in the Illinois and Kaskaskia River Basins for Evaluating IDNR Private Lands Programs: Annual Report 2021

Illinois Department of Natural Resources, Office of Resource Conservationunpublishednot peer reviewedOpe

High Levels of Miticides and Agrochemicals in North American Apiaries: Implications for Honey Bee Health

BACKGROUND: Recent declines in honey bees for crop pollination threaten fruit, nut, vegetable and seed production in the United States. A broad survey of pesticide residues was conducted on samples from migratory and other beekeepers across 23 states, one Canadian province and several agricultural cropping systems during the 2007-08 growing seasons. METHODOLOGY/PRINCIPAL FINDINGS: We have used LC/MS-MS and GC/MS to analyze bees and hive matrices for pesticide residues utilizing a modified QuEChERS method. We have found 121 different pesticides and metabolites within 887 wax, pollen, bee and associated hive samples. Almost 60% of the 259 wax and 350 pollen samples contained at least one systemic pesticide, and over 47% had both in-hive acaricides fluvalinate and coumaphos, and chlorothalonil, a widely-used fungicide. In bee pollen were found chlorothalonil at levels up to 99 ppm and the insecticides aldicarb, carbaryl, chlorpyrifos and imidacloprid, fungicides boscalid, captan and myclobutanil, and herbicide pendimethalin at 1 ppm levels. Almost all comb and foundation wax samples (98%) were contaminated with up to 204 and 94 ppm, respectively, of fluvalinate and coumaphos, and lower amounts of amitraz degradates and chlorothalonil, with an average of 6 pesticide detections per sample and a high of 39. There were fewer pesticides found in adults and brood except for those linked with bee kills by permethrin (20 ppm) and fipronil (3.1 ppm). CONCLUSIONS/SIGNIFICANCE: The 98 pesticides and metabolites detected in mixtures up to 214 ppm in bee pollen alone represents a remarkably high level for toxicants in the brood and adult food of this primary pollinator. This represents over half of the maximum individual pesticide incidences ever reported for apiaries. While exposure to many of these neurotoxicants elicits acute and sublethal reductions in honey bee fitness, the effects of these materials in combinations and their direct association with CCD or declining bee health remains to be determined

Anxiety profiles and protective factors: A latent profile analysis in children

The current study investigated the presence of different anxiety profiles in schoolchildren in order to understand whether Mathematics and Test Anxiety are a manifestation of a general form of anxiety, or the expression of specific forms of anxiety. Moreover, we also examined the influence of personal protective factors. The results of a latent profile analysis, conducted on 664 children attending grades 3 to 6, clearly identified three different profiles distinguished on the basis of the level of general, test and mathematics anxiety. Protective factors, such as self-concept and resilience, were differently related to anxiety: the former was clearly lower when the risk profile was higher, whereas students were able to maintain a certain level of resilience up to an average risk of developing forms of anxiety. The implications of these findings may lead to the development of specific intervention programs aimed at reducing students’ anxiety and fostering self-concept and resilience. © 2017 Elsevier Lt

Validation of Pharmacogenomic Interaction Probability (PIP) Scores in Predicting Drug–Gene, Drug–Drug–Gene, and Drug–Gene–Gene Interaction Risks in a Large Patient Population

Utilizing pharmacogenomic (PGx) testing and integrating evidence-based guidance in drug therapy enables an improved treatment response and decreases the occurrence of adverse drug events. We conducted a retrospective analysis to validate the YouScript® PGx interaction probability (PIP) algorithm, which predicts patients for whom PGx testing would identify one or more evidence-based, actionable drug–gene, drug–drug–gene, or drug–gene–gene interactions (EADGIs). PIP scores generated for 36,511 patients were assessed according to the results of PGx multigene panel testing. PIP scores versus the proportion of patients in whom at least one EADGI was found were 22.4% vs. 22.4% (p = 1.000), 23.5% vs. 23.4% (p = 0.6895), 30.9% vs. 29.4% (p = 0.0667), and 27.3% vs. 26.4% (p = 0.3583) for patients tested with a minimum of 3-, 5-, 14-, and 25-gene panels, respectively. These data suggest a striking concordance between the PIP scores and the EAGDIs found by gene panel testing. The ability to identify patients most likely to benefit from PGx testing has the potential to reduce health care costs, enable patient access to personalized medicine, and ultimately improve drug efficacy and safety

Comparative toxicities and synergism of apple orchard pesticides to Apis mellifera (L.) and Osmia cornifrons (Radoszkowski).

The topical toxicities of five commercial grade pesticides commonly sprayed in apple orchards were estimated on adult worker honey bees, Apis mellifera (L.) (Hymenoptera: Apidae) and Japanese orchard bees, Osmia cornifrons (Radoszkowski) (Hymenoptera: Megachilidae). The pesticides were acetamiprid (Assail 30SG), λ-cyhalothrin (Warrior II), dimethoate (Dimethoate 4EC), phosmet (Imidan 70W), and imidacloprid (Provado 1.6F). At least 5 doses of each chemical, diluted in distilled water, were applied to freshly-eclosed adult bees. Mortality was assessed after 48 hr. Dose-mortality regressions were analyzed by probit analysis to test the hypotheses of parallelism and equality by likelihood ratio tests. For A. mellifera, the decreasing order of toxicity at LD₅₀ was imidacloprid, λ-cyhalothrin, dimethoate, phosmet, and acetamiprid. For O. cornifrons, the decreasing order of toxicity at LD₅₀ was dimethoate, λ-cyhalothrin, imidacloprid, acetamiprid, and phosmet. Interaction of imidacloprid or acetamiprid with the fungicide fenbuconazole (Indar 2F) was also tested in a 1∶1 proportion for each species. Estimates of response parameters for each mixture component applied to each species were compared with dose-response data for each mixture in statistical tests of the hypothesis of independent joint action. For each mixture, the interaction of fenbuconazole (a material non-toxic to both species) was significant and positive along the entire line for the pesticide. Our results clearly show that responses of A. mellifera cannot be extrapolated to responses of O.cornifrons, and that synergism of neonicotinoid insecticides and fungicides occurs using formulated product in mixtures as they are commonly applied in apple orchards

Responses of <i>Osmia cornifrons</i> and <i>A. mellifera</i> to to acetamiprid mixed with indar.

a<p>A is <i>A.mellifera</i>, O is <i>Osmia cornifrons</i>.</p>b<p>LD is expressed as µg/bee.</p>c<p>LDR is higher LD÷lower LD.</p>*<p>If the 95% CI of the LDR includes the value 1.0, the LD's are not significantly different.</p

(a–d). Effects of mixtures on <i>O. cornifrons</i> and <i>A. mellifera</i>.

<p>Boxes are responses observed and triangles are responses predicted assuming the model of independent joint action (see text). Dose is in units of µg/bee. <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0072587#pone-0072587-g001" target="_blank">Figure 1a</a> is for <i>A. mellifera</i> treated with acetamiprid∶indar; <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0072587#pone-0072587-g001" target="_blank">Figure 1b</a> is for <i>O. cornifrons</i> treated with acetamiprid∶indar; <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0072587#pone-0072587-g001" target="_blank">Figure 1c</a> is for <i>A. mellifera</i> treated with imidacloprid∶indar; <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0072587#pone-0072587-g001" target="_blank">Fig. 1d</a> is for <i>O. cornifrons</i> treated with imidacloprid∶indar.</p