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To examine differences in noticing and use of nutrition information comparing jurisdictions with and without mandatory menu labelling policies and examine differences among sociodemographic groups.
Cross-sectional data from the International Food Policy Study (IFPS) online survey.
IFPS participants from Australia, Canada, Mexico, United Kingdom and USA in 2019.
Adults aged 18–99; n 19 393.
Participants in jurisdictions with mandatory policies were significantly more likely to notice and use nutrition information, order something different, eat less of their order and change restaurants compared to jurisdictions without policies. For noticed nutrition information, the differences between policy groups were greatest comparing older to younger age groups and comparing high education (difference of 10·7 %, 95 % CI 8·9, 12·6) to low education (difference of 4·1 %, 95 % CI 1·8, 6·3). For used nutrition information, differences were greatest comparing high education (difference of 4·9 %, 95 % CI 3·5, 6·4) to low education (difference of 1·8 %, 95 % CI 0·2, 3·5). Mandatory labelling was associated with an increase in ordering something different among the majority ethnicity group and a decrease among the minority ethnicity group. For changed restaurant visited, differences were greater for medium and high education compared to low education, and differences were greater for higher compared to lower income adequacy.
Participants living in jurisdictions with mandatory nutrition information in restaurants were more likely to report noticing and using nutrition information, as well as greater efforts to modify their consumption. However, the magnitudes of these differences were relatively small.
Advances in translational science require innovative solutions, and engagement of productive transdisciplinary teams play a critical role. While various forms of scientific meetings have long provided venues for sharing scientific findings and generating new collaborations, many conferences lack opportunities for active discussions. We describe the use of an Un-Meeting to foster innovative translational science teams through engaged discussions across multidisciplinary groups addressing a shared theme. The Un-Meeting was delivered by the University of Rochester Center for Leading Innovation and Collaboration, the national coordinating center for the National Institutes of Health Clinical and Translational Science Awards (CTSA) program. This pilot CTSA program Un-Meeting focused on engaging translational scientists, policy-makers, community members, advocates, and public health professionals to address the opioid crisis. The participant-driven format leveraged lightning talks, attendee-led idea generation, and extensive breakout discussions to foster multidisciplinary networking. Results indicated participation by a broad set of attendees and a high level of networking during the meeting. These results, coupled with the growth of the Un-Meeting across the CTSA Consortium, provide practices and models to potentially advance team and translational science. While future work will further assess the impact of Un-Meetings, this format presents a promising approach to enhance translational science.
Understand the science and engineering behind conventional and renewable heat loss recovery techniques with this thorough reference. Provides you with the knowledge and tools necessary to assess the potential waste-heat recovery opportunities that exist within various industries and select the most suitable technology. In particular, technologies that convert waste heat into electricity, cooling or high-temperature heating are discussed in detail, alongside more conventional technologies that directly or indirectly recirculate heat back into the production process. Essential reading for professionals in chemical, manufacturing, mechanical and processing engineering who have an interest in energy conservation and waste heat recovery.
OBJECTIVES/GOALS: Anti-cancer therapies, such as chemotherapy, can induce senescence. Senescent cells may produce factors that can promote tumor progression. In this study, we will investigate the effect of senolytics and anti-cancer treatment on fibroblasts, which are a part of the tumor microenvironment, and patient-derived colorectal cancer organoids. METHODS/STUDY POPULATION: We will induce senescence in fibroblast lines via irradation. Induction of senescence will be confirmed by monitoring SASP production, changes in morphology and proliferation rates, and senescence-associated b-galactosidase activity. To investigate the efficacy of senolytics on senescence-induced fibroblasts and CRC tumor organoids, we will creat a dose response curve and calculate IC50 values for proliferating fibroblast, senescent fibroblasts and CRC organoids. To identify the synergistic effects of anti-cancer and senolytic compounds, including Navitoclax and Dasatinib, on fibroblasts and CRC organoids, we will create dose matrixes using senolytics at concentrations that were shown to have senolytic activity and drugs from an anti-cancer library. RESULTS/ANTICIPATED RESULTS: If senescence is induced in the fibroblast lines, we expect to see no changes in confluency over 4 days, the morphology will change from a thin, spindly shape to a flattened shape, and senescence-associated b-galactosidase activity will be observed. After the fibroblast lines are treated with potential senolytic compounds, we would expect to see decreased viability in the senescence-induced fibroblast lines when compared to proliferating fibroblast lines. We predict that the viability of CRC organoid lines will slightly decrease at high concentrations of the senolytic due to overall toxicity. We expect that the senolytic and anti-cancer compounds will have a synergistic effect. Senolytic activity could reduce the senescent cell population that was developed in response to anti-cancer therapy. DISCUSSION/SIGNIFICANCE: There is an increased interest in identifying compounds that selectively promote apoptosis in senescent cells. This study uses a cell-based approach to validate senolytic activity of compounds with senolytic potential in senescence-induced fibroblast lines and investigates the synergistic effects of senolytics and anti-cancer compounds on CRC.
Team development and idea generation are key intertwined steps in translational science that need a framework to accommodate unstructured, participatory interactions. To this end, we introduced Un-Meetings to the Clinical and Translational Science Awards (CTSA) Program, innovative events that facilitate cross-disciplinary idea generation and informal discussions between translational scientists, policy makers, community members, advocates, and public health professionals. Here we describe a mixed methods study to characterize the conceptual diversity and clusterization of ideas generated through an Opioid Crisis Un-Meeting.
An Un-Meeting targeting translation science approaches to the opioid crisis were hosted at the University of Rochester Center for Leading Innovation and Collaboration (CLIC). We used semantic analysis and conceptual mapping of keywords to analyze how attendee-led idea generation sessions identified topics for breakout discussions.
One hundred and two individuals from 40 institutions proposed 150 unique ideas that were grouped into 23 breakout sessions. Network analysis showed that diverse pools of experts were bridged by topics addressing the complexities of the opioid crisis. Two clusters emerged: (1) systems, contexts, and community engagement, and (2) technologies, innovations, and treatment advancements.
The cross-disciplinary nature of topic areas that bridge across thematic communities provide opportunities for CTSA programs to engage and support development of diverse translational teams. Potential opportunities for team building include technological advancements of opioid prevention, treatment, surveillance, systems approaches, and studies focusing on special populations and health disparities. The analysis method here may be useful in identifying naturally emerging teams of experts and community gaps when addressing large problems.