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190 results for “Social support”
Exploring the economic, social, and environmental dimensions of community-supported agriculture in Italy (dataset)
<p>Dataset inherent to the following article:</p> <p>Medici, M., Canavari, C., Castellini, A., 2021. <em>Exploring the economic, social, and environmental dimensions of community-supported agriculture in Italy</em>, Journal of Cleaner Production, 316, 128233, DOI: <a href="https://doi.org/10.1016/j.jclepro.2021.128233">10.1016/j.jclepro.2021.128233</a></p>
Data from: CoAct Citizen Science chatbot explores social support networks in mental health based on lived experiences
<p>A data set on lived experiences in the context of social support in mental health, created within a Citizen Social Science project. </p> <p><br> Societies around the world increasingly encounter wicked and complex problems, such as those related to mental health, environmental justice, and youth employment. <strong>CoAct as a EU-funded global effort</strong> addresses these problems by deploying Citizen Social Science. </p> <p> </p> <p><strong>Citizen Social Science</strong> is understood here as participatory research co-designed and directly driven by citizen groups sharing a social concern. This methodology wants to give citizen groups an equal ‘seat at the table’ through <strong>active participation in research</strong>, from the design to the interpretation of the results and their transformation into concrete actions. Citizens thus act as <strong>co-researchers</strong> and are recognised as in-the-field competent experts. </p> <p> </p> <p>In Barcelona, a group of <strong>32 co-researchers</strong> work together with the OpenSystems group, Universitat de Barcelona, the Catalan Federation of Mental Health (Federació Salut Mental Catalunya), and with the help of many others on a better understanding of informal <strong>social support networks in mental health</strong> in the project <em>CoActuem per la Salut Mental</em> (lit. “We act together for mental health”). The co-researchers, who are either persons with a personal history of mental health problems or are family members of the latter, contributed their <strong>personal experiences related to social support</strong> in the form of <strong>222 micro-stories</strong>, each shorter than 400 characters, and most accompanied by an illustration by Pau Badia.</p> <p> </p> <p>Those micro-stories form the heart of the first co-created Citizen Science chatbot, the code of which is open on <a href="https://github.com/Chaotique/CoActuem_per_la_Salut_Mental_Chatbot.git">https://github.com/Chaotique/CoActuem_per_la_Salut_Mental_Chatbot.git</a> . The <strong>Telegram chatbot</strong> sends them to participants <strong>on a daily basis over the course of a year</strong> and asks them either, whether they and/ or their close surrounding lived this experience, too (stories of type C), or, how they would or would have reacted in the presented situation (stories of type T). The answers of each participant can be contrasted with the individual participants’ answer to a 32-questions <strong>socio-demographic survey</strong>. Further, the timing of the messages is included to allow for a broader analysis. </p> <p> </p> <p>The chatbot is still running, hence this data set will still be updated. For further information on the project <strong>CoAct</strong>, see <a href="https://coactproject.eu/">https://coactproject.eu/</a>. For further details on the co-creation process and purpose of the chatbot <strong>CoActuem per la Salut Mental</strong>, take a look on <a href="https://coactuem.ub.edu/">https://coactuem.ub.edu/</a>. Please direct your questions regarding the data set to <strong>coactuem[at]ub.edu</strong>.</p> <p> </p> <p><strong>Acknowledgements</strong></p> <p>The CoAct project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement number 873048. We especially thank the co-researchers for the passion and time invested.</p>
Social Risk Score, Clinical Decision Support Tool and Closed Loop Referral for Social Risk Screen and Referral
ClinicalTrials.gov study NCT05574699. IPD Sharing: NO. Countries: 1. Publications: 2.
Perceived Social Support, Heart Rate Variability, and Hopelessness in Patients With Ischemic Heart Disease
ClinicalTrials.gov study NCT05003791. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Data and code in support of "Quantifying international climate finance needs and its social and climate benefits"
<div> <div>These folders contain the code and figures for experiments, data analysis and visualization of results associated with the paper "Quantifying international climate finance needs and its social and climate benefits".</div> <br> <div>The folder FullAdaptation contains the data needed to produce the figures reported in the main text assuming adaptation as in Agrawala et al.</div> <div>The folder WITCHAdaptation contains the data needed to produce the figures reported in the supplementary material and discussed in the context of alternative assumptions for adaptation modeling.</div> <br> <div>Each of these folders contains:</div> <div>- the original optimization experiments (with and without transfers under different inequality aversion levels);</div> <div>- the CRICE code which is used to simulate the obtained policies from the folders above;</div> <div>- folders containing figures (main/supp figures and optimization runtimes);</div> <div>- world-administrative boundaries shapefile (https://public.opendatasoft.com/explore/dataset/world-administrative-boundaries/export/);</div> <div>- script to compile the optimization version of CRICE (compile_run.sh). This is needed to run the optimizations but it requires substantial computational time;</div> <div>- script to select the best solution/runtime across seeds (best_runtime.py);</div> <div>- script to simulate the best solutions (simulate_sensitivity_mitigation.py). Before running this run "make clean && make" in the CRICE50 folder to make sure the simulation model is compiled;</div> <div>- script to produce figures (analyze_results.py, plot_figures.py, plot_maps.py, plot_runtime.py).</div> </div>
An analytical framework to measure social return of community-supported agriculture
<p>Figures of the case studies (original data from CSA websites and staff interviews)</p>
Six-month stability of individual differences in sports coaches' burnout, self-compassion and social support
<p>Using a three-wave prospective cross-lagged panel design, the study examined the six-month stability of burnout, self-compassion, and social support among sports coaches in terms of measurement invariance, mean-level change, rank-order stability, and structural stability. The participating coaches (<em>N</em> = 422; <em>M<sub>age</sub></em> = 44.48, <em>SD</em> = 11.03) completed an online questionnaire measuring self-compassion, social support, coach burnout, and demographics at baseline and two follow-ups at three months and six months. The various forms of stability were assessed using structural equation modeling. There was no significant mean-level change in burnout, self-compassion, or social support, and all three constructs exhibited measurement invariance. Rank-order stability remained relatively high, ranging from 0.78 to 0.94 across the three time points. For all three constructs, covariances between latent factors were invariant over time, indicating high structural stability. While self-compassion and social support were positively related, both were negatively related to coach burnout. These results confirm the importance of preventing and addressing symptoms of burnout, low self-compassion, and poor social support in sports settings.</p>
DATABASE OF THE SYSTEMATIC MAPPING OF SOCIAL SUPPORT ANS STIGMA IN POPULATION LIVING WITH HIV
<p>DATABASE OF THE SYSTEMATIC MAPPING OF SOCIAL SUPPORT ANS STIGMA IN POPULATION LIVING WITH HIV. IT WAS USED THE PRISMA (2020) METHODOLOGY.</p>
InTSHA: Interactive Transition Support for HIV-infected Adolescents Using Social Media
ClinicalTrials.gov study NCT03624413. IPD Sharing: YES. Countries: 1. Publications: 1.
Peer Social Support During In Vivo Exposure for PTSD
ClinicalTrials.gov study NCT03485391. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Transplant Social Worker Support for Live Kidney Donation in African Americans
ClinicalTrials.gov study NCT02369354. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Social Support Intervention for Addiction Recovery
ClinicalTrials.gov study NCT06022107. IPD Sharing: NO. Countries: 1. Publications: 1.
Assessing the Quality of Life and Social Support in Age-Related Macular Degeneration Patients
ClinicalTrials.gov study NCT05427994. IPD Sharing: NO. Countries: 1. Publications: 1.
Complexity in Health, Education, and Social Support for Children and Young People With Life-limiting Conditions.
ClinicalTrials.gov study NCT07102433. IPD Sharing: NO. Countries: 1. Publications: 27.
Harnessing mHealth and Social Support to Improve Diabetes Related Health Behavior for Inner-city Patients
ClinicalTrials.gov study NCT01945996. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Repercussions of Patrilocal Residence on Mothers’ Social Support Networks Among Tsimane Forager-Farmers
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Overcoming pluralistic ignorance: Brief exposure to positive thoughts and actions of others can enhance social norms related to climate action and support for climate policy
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Six-month stability of individual differences in sports coaches’ burnout, self-compassion and social support
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Social fish have larger brains and greater relative telencephalon sizes: support for the social brain hypothesis from wild, intraspecific comparisons
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The relationship of coping style and social support variation to glucocorticoid metabolites in wild olive baboons (Papio anubis)
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.