Perceptions of Collaboration Between Special Education Teachers and Parents of Children Diagnosed with Autism Spectrum Disorder in the Elementary Setting

The purpose of this qualitative, semi-structured interview, phenomenological study was to investigate the perceptions of collaboration between a total of 10 special education teachers and parents of children diagnosed with autism spectrum disorder (ASD) in the elementary setting. This study’s data was collected from five special education teachers and five parents of children diagnosed with ASD. Results from this study revealed that both groups viewed communication as important to facilitating collaboration. When thinking of barriers to collaboration, both groups viewed the lack of experience or training geared toward collaboration relating to students with ASD, whether teachers or parents, as a hindrance to building collaborative relationships. Based on the findings, and to help bridge the gap in perceptions between special education teachers and parents of students diagnosed with ASD in the elementary setting, The study recommended that educators create opportunities for communication to exist as well as provide additional supports to families of children diagnosed with autism. More importantly, creating training for both parents and teachers to be able to work together effectively was seen as equally important to both participant groups. In addition, the study recommends that school districts create events specifically for parents of students with autism, implement professional development that gives educators research-based strategies to foster collaboration with families in a public school setting

Community Science in Support of Ecosystem-Based Management: A Case Study from the Damariscotta River Estuary, Maine, USA

Coastal marine ecosystems are dynamic social-ecological systems (SESs) that support diverse ecosystem services and human activities. The complexity of SESs means that ecosystem-based approaches are increasingly used to support coastal marine ecosystem stewardship. We report how a community science program in Maine, USA offers a model of organizational innovation to expand capacities for shellfish research and management. Since 2019, we have collaborated with local students, shellfish harvesters, and others in data collection, interpretation, and application, contributing to local shellfish management and ecosystem sustainability. We demonstrate how community-based social and ecological research can build adaptive capacities by centering local knowledge; generating long-term and fine-scale datasets; supporting community-led management and civic engagement; and contributing to field methods that people with varied lived experiences and training can implement in a sustainable fashion. Our approach can be adapted to other contexts, particularly in data-limited SESs that are experiencing observable social and ecological change

“I felt really respected and I know she felt respected too”: Using Youth-Adult Partnerships to Promote Positive Youth Development in 4-H Youth

Youth-adult relationships exist on a continuum from adult-led to youth-led collaborations. However, research suggests that quality youth-adult partnerships, which fall in the middle of this continuum, directly contribute to positive youth development. Given this, the current study evaluated the impact of a 4-H Youth Development program, using youth-adult partnerships and a teens as teachers program model, on positive youth development outcomes of participating youth. Qualitative data were collected from 29 youth to evaluate the 4-H Food Smart Families program presented by Washington State University Youth Advocates for Health (YA4-H!). Data analysis identified themes related to the benefits and challenges of the youth-adult partnership and skills gained from being a teen teacher. When looking at results from a positive youth development perspective, it is evident the youth who participated in youth-adult partnerships and as teen teachers experienced beneficial outcomes. Qualitative codes clearly aligned with 4-H Essential Elements of belonging, mastery, independence, and generosity, indicating positive youth development had occurred despite realworld implementation challenges. Based on our experience and lessons learned, we conclude with suggestions for successful implementation of a youth-adult partnership

Properties of Healthcare Teaming Networks as a Function of Network Construction Algorithms

Network models of healthcare systems can be used to examine how providers collaborate, communicate, refer patients to each other. Most healthcare service network models have been constructed from patient claims data, using billing claims to link patients with providers. The data sets can be quite large, making standard methods for network construction computationally challenging and thus requiring the use of alternate construction algorithms. While these alternate methods have seen increasing use in generating healthcare networks, there is little to no literature comparing the differences in the structural properties of the generated networks. To address this issue, we compared the properties of healthcare networks constructed using different algorithms and the 2013 Medicare Part B outpatient claims data. Three different algorithms were compared: binning, sliding frame, and trace-route. Unipartite networks linking either providers or healthcare organizations by shared patients were built using each method. We found that each algorithm produced networks with substantially different topological properties. Provider networks adhered to a power law, and organization networks to a power law with exponential cutoff. Censoring networks to exclude edges with less than 11 shared patients, a common de-identification practice for healthcare network data, markedly reduced edge numbers and greatly altered measures of vertex prominence such as the betweenness centrality. We identified patterns in the distance patients travel between network providers, and most strikingly between providers in the Northeast United States and Florida. We conclude that the choice of network construction algorithm is critical for healthcare network analysis, and discuss the implications for selecting the algorithm best suited to the type of analysis to be performed.Comment: With links to comprehensive, high resolution figures and networks via figshare.co

Early antenatal prediction of gestational diabetes in obese women: development of prediction tools for targeted intervention

All obese women are categorised as being of equally high risk of gestational diabetes (GDM) whereas the majority do not develop the disorder. Lifestyle and pharmacological interventions in unselected obese pregnant women have been unsuccessful in preventing GDM. Our aim was to develop a prediction tool for early identification of obese women at high risk of GDM to facilitate targeted interventions in those most likely to benefit. Clinical and anthropometric data and non-fasting blood samples were obtained at 15+0–18+6 weeks’ gestation in 1303 obese pregnant women from UPBEAT, a randomised controlled trial of a behavioural intervention. Twenty one candidate biomarkers associated with insulin resistance, and a targeted nuclear magnetic resonance (NMR) metabolome were measured. Prediction models were constructed using stepwise logistic regression. Twenty six percent of women (n = 337) developed GDM (International Association of Diabetes and Pregnancy Study Groups criteria). A model based on clinical and anthropometric variables (age, previous GDM, family history of type 2 diabetes, systolic blood pressure, sum of skinfold thicknesses, waist:height and neck:thigh ratios) provided an area under the curve of 0.71 (95%CI 0.68–0.74). This increased to 0.77 (95%CI 0.73–0.80) with addition of candidate biomarkers (random glucose, haemoglobin A1c (HbA1c), fructosamine, adiponectin, sex hormone binding globulin, triglycerides), but was not improved by addition of NMR metabolites (0.77; 95%CI 0.74–0.81). Clinically translatable models for GDM prediction including readily measurable variables e.g. mid-arm circumference, age, systolic blood pressure, HbA1c and adiponectin are described. Using a ≥35% risk threshold, all models identified a group of high risk obese women of whom approximately 50% (positive predictive value) later developed GDM, with a negative predictive value of 80%. Tools for early pregnancy identification of obese women at risk of GDM are described which could enable targeted interventions for GDM prevention in women who will benefit the most

Cellulosomics, a gene-centric approach to investigating the intraspecific diversity and adaptation of Ruminococcus flavefaciens within the rumen

Peer reviewedPublisher PD

eB4CAST: An Evidence-Based Tool to Promote Dissemination and Implementation in Community-Based, Public Health Research

eB4CAST, evidence-Based forecast C-capture, A-assemble, S-sustain, T-timelessness (eB4CAST), framework was developed from existing dissemination and implementation (D & I) constructs as a dissemination tool to promote community-based program usability and future application in targeted populations. eB4CAST captures and transforms research findings into a dissemination report that shows program need and impact to endorse program continuation and expansion. This is achieved through direct and indirect data collection of community factors and program impact that can showcase the need for program sustainability and potential for future dissemination sites. Testimonials, individual feedback, and program process and outcomes contribute to the direct data while data collected from census, county, and state databases and reports allow for indirect information to be captured and analyzed. Capturing data in the two levels allow eB4CAST to forecast program need and highlight program impact through a footprint. eB4CAST framework for dissemination tool creation is organized into four sections: Capture, Assemble, Sustainability, and Timelessness. Capture encompasses the collection of indirect and direct data related to intervention goals. Assemble is the compilation of the data into a visually appealing and easily understood media. Sustainability encourages the use of dissemination tools to provide forecast of program need and footprint of program impact back to community participants, program leaders, and key stakeholders to endorse program sustainability. Lastly, timelessness encourages cyclic movement through these constructs to continue program monitoring and data sharing to ensure timeless program evaluation and conformation to change in needs. The eB4CAST framework provides a systematic method to capture justification of program need and impact of community-based research that can be modified to fit diverse public health interventions providing a necessary D & I tool

Opportunities for Cancer Prevention During Midlife Highlights from a Meeting of Experts

AbstractThis paper provides highlights from a CDC-hosted meeting on opportunities for cancer prevention during midlife (roughly ages 45–64 years). Positive changes during this phase of life have the potential to prevent cancer incidence later in life, making this phase an opportune time for targeted prevention efforts to facilitate healthy aging and increased longevity. Risk and protective factors discussed during the meeting included exposure to radiation from medical imaging procedures, circadian disruption, chemical exposures, dietary factors, alcohol consumption, obesity, physical activity, diabetes, and the human microbiome. Although many of these factors are well recognized as being related to cancer incidence, others are not as widely recognized or have emerged as growing areas of research.Meeting participants discussed promising strategies for cancer prevention targeting this age group. Just as there are multiple determinants of cancer risk, there are likely multiple solutions. Changes to social and physical environments may facilitate healthy behaviors and minimize harmful exposures. Information shared during the meeting about health disparities in the U.S. highlighted the need to go beyond traditional approaches to cancer prevention to truly reach vulnerable populations. Partnerships are also a key component to prevention efforts; community-based and nonprofit organizations, the healthcare system, research institutions, state health departments, and federal agencies were all noted as important partners in prevention efforts. Coordinated, multi-disciplinary efforts across multiple chronic diseases may provide opportunities for synergistic effects. Further, leveraging key partnerships and existing communication channels can maximize success and facilitate timely translation of research findings into public health practice

The Effect of iCook 4-H, a Childhood Obesity Prevention Program, on Blood Pressure and Quality of Life in Youth and Adults: A Randomized Control Trial

Objective: Obesity increases the risk of developing hypertension and from population-based samples with estimations that of 2-4% of the U.S. pediatric population has hypertension, which may affect quality of life. This study examined the effects of an obesity prevention program on blood pressure and quality of life in youth and adult participants. Methods: A multi-state research team recruited treatment dyads (youth and their adult meal preparer) to participate in a 12-week randomized control trial and follow-up through 24 months. The treatment group received a cooking and physical activity intervention, followed by booster sessions and mailed newsletters over the remaining two-year period. The control group received no intervention. Resting blood pressure and health related quality of life (HRQOL) surveys were administered at 0,4,12 and 24 months. Results: 228 dyads were recruited (n=77 control and n=151 for treatment). Youth and adult systolic blood pressure (SBP) increased over the 24 months (p=0.003 and p=0.03, respectively) with no differences between groups. From baseline to 24 months both control and treatment youths’ physical and psychological HRQOL increased (p=0.01 and p=0.002, respectively). At 0 and 4 months, youth and adult SBP was positively correlated (r=0.24, p=0.003 and r=0.33, p\u3c0.001, respectively). In the treatment group, there was an inverse association between adult SBP and youth psychological HRQOL at 4 months (r=-0.20, p=0.04), and a similar trend in adult SBP and youth physical HRQOL at 4 months in the treatment group (r=-0.19, p=0.05). Conclusion: A youth-adult dyad obesity prevention program consisting of culinary, mealtime and physical activity education, elicited improvements in HRQOL in youth participants