Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/100263
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jorge, Helena | - |
dc.contributor.author | Duarte, Isabel C. | - |
dc.contributor.author | Correia, Bárbara R. | - |
dc.contributor.author | Barros, Luísa | - |
dc.contributor.author | Relvas, Ana Paula | - |
dc.contributor.author | Castelo Branco, Miguel | - |
dc.date.accessioned | 2022-06-03T11:24:29Z | - |
dc.date.available | 2022-06-03T11:24:29Z | - |
dc.date.issued | 2021-03-18 | - |
dc.identifier.issn | 0033-2917 | pt |
dc.identifier.issn | 1469-8978 | pt |
dc.identifier.uri | https://hdl.handle.net/10316/100263 | - |
dc.description | The supplementary material for this article can be found at https://doi.org/10.1017/S0033291721000386 | pt |
dc.description.abstract | Neurobehavioral decision profiles have often been neglected in chronic diseases despite their direct impact on major public health issues such as treatment adherence. This remains a major concern in diabetes, despite intensive efforts and public awareness initiatives regarding its complications. We hypothesized that high rates of low adherence are related to risk-taking profiles associated with decision-making phenotypes. If this hypothesis is correct, it should be possible to define these endophenotypes independently based both on dynamic measures of metabolic control (HbA1C) and multidimensional behavioral profiles. | pt |
dc.language.iso | eng | pt |
dc.publisher | Cambridge University Press | pt |
dc.relation | SFRH/BD/132881/2017 | pt |
dc.relation | FIS-FIS-2015-01_DIA | pt |
dc.relation | Sanofi-EFSD | pt |
dc.relation | UID/4950/2020 | pt |
dc.relation | POCI-01-0145-FEDER-030852 | pt |
dc.relation | PCIF/SSO/0082/2018 | pt |
dc.relation | DSAIPA/DS/0041/2020 | pt |
dc.rights | openAccess | pt |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | pt |
dc.subject | Ambiguous uncertainty | pt |
dc.subject | Decision-making | pt |
dc.subject | HbA1c | pt |
dc.subject | Multidimensional risk-taking assessment | pt |
dc.subject | Neuroeconomics | pt |
dc.subject | Treatment adherence | pt |
dc.title | Successful metabolic control in diabetes type 1 depends on individual neuroeconomic and health risk-taking decision endophenotypes: a new target in personalized care | pt |
dc.type | article | - |
degois.publication.firstPage | 1 | pt |
degois.publication.lastPage | 9 | pt |
degois.publication.location | Cambridge | pt |
degois.publication.title | Psychological Medicine | pt |
dc.relation.publisherversion | https://doi.org/10.1017/S0033291721000386 | pt |
dc.peerreviewed | yes | pt |
dc.identifier.doi | 10.1017/S0033291721000386 | pt |
degois.publication.volume | First View | pt |
dc.date.embargo | 2021-03-18 | * |
uc.date.periodoEmbargo | 0 | pt |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.fulltext | Com Texto completo | - |
item.languageiso639-1 | en | - |
crisitem.author.researchunit | ICNAS - Institute for Nuclear Sciences Applied to Health | - |
crisitem.author.researchunit | CES – Centre for Social Studies | - |
crisitem.author.researchunit | CIBIT - Coimbra Institute for Biomedical Imaging and Translational Research | - |
crisitem.author.parentresearchunit | University of Coimbra | - |
crisitem.author.orcid | 0000-0002-5620-2424 | - |
crisitem.author.orcid | 0000-0001-9011-2230 | - |
crisitem.author.orcid | 0000-0003-4364-6373 | - |
Appears in Collections: | I&D CES - Artigos em Revistas Internacionais |
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File | Description | Size | Format | |
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Successful metabolic control in diabetes type 1 depends.pdf | 436.58 kB | Adobe PDF | View/Open |
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