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<title>DPEFC - Miscelánea</title>
<link href="https://hdl.handle.net/10481/14942" rel="alternate"/>
<subtitle/>
<id>https://hdl.handle.net/10481/14942</id>
<updated>2026-04-21T20:36:26Z</updated>
<dc:date>2026-04-21T20:36:26Z</dc:date>
<entry>
<title>Assessing the sensitivity and validity of the Berlin emotional responses to risk scale</title>
<link href="https://hdl.handle.net/10481/100898" rel="alternate"/>
<author>
<name>Wall, Kelly</name>
</author>
<author>
<name>García Retamero Imedio, María Del Rocío</name>
</author>
<id>https://hdl.handle.net/10481/100898</id>
<updated>2025-01-29T08:56:37Z</updated>
<summary type="text">Assessing the sensitivity and validity of the Berlin emotional responses to risk scale
Wall, Kelly; García Retamero Imedio, María Del Rocío
Affect has been shown to influence our perceptions, thoughts, and behaviors, sometimes serving as a beneficial or harmful guide during risky decision making.  Currently, there is no standardized instrument validated for the evaluation of affective reactions to risk-relevant information.  This study sought to expand on the assessment of the psychometric sensitivity and predictive validity of a recently developed instrument, The Berlin Emotional Responses to Risk Scale (BERRS), a broad 6-item self-report of positive and negative affect that serves to provide an overall affective reaction to risk in one minute. We wanted to demonstrate that the scale would be sensitive to manipulations of risk severity and probability.  Results from our online panel survey (N = 515) demonstrated that the BERRS was sensitive to subtle changes in risk severity and probability across diverse risk contexts (e.g., health, environmental, technological, etc.) and could predict behavioral intentions (i.e., willingness to engage in a risky behavior) in a variety of risk contexts and conditions
</summary>
</entry>
<entry>
<title>Discrimination of sweet-fat ingredients in people with weight- and eating-related problems using a signal detection theory</title>
<link href="https://hdl.handle.net/10481/76457" rel="alternate"/>
<author>
<name>García Burgos, David</name>
</author>
<id>https://hdl.handle.net/10481/76457</id>
<updated>2022-09-20T22:25:16Z</updated>
<summary type="text">Discrimination of sweet-fat ingredients in people with weight- and eating-related problems using a signal detection theory
García Burgos, David
Individuals with impaired gustatory perception may have altered ingestive behaviors, which contribute to unhealthy weight status and disordered eating. Whether and to what extent weight status or eating symptomatology depend on flavor perception is still a controversial issue. Thus, the ability to discriminate among different levels of sweetness/fat content was compared in three studies using two-alternative forced-choice tasks and the standardized metrics of signal detection theory (SDT). In Study 1, three body mass index groups were included: underweight, healthy normal weight, and overweight. In Study 2, volunteers were currently-ill and recovered (anorexia/bulimia nervosa) patients, and two age- and weight-matched control groups. In Study 3, SDT metrics of both populations were compared. Results showed that SDT measures identified difficulties of underweight individuals to discriminate fat levels in sugary products, while patients with eating disorders exhibited outstanding discrimination of fat ingredients. Judgment biases were also detected in both populations. This highlights importance of using SDT methodology in flavor perception research in people with weight−/eating-related problems.
</summary>
</entry>
<entry>
<title>Qué Controla la restricción de comida en pacientes que desarrollan trastornos alimentarios</title>
<link href="https://hdl.handle.net/10481/76455" rel="alternate"/>
<author>
<name>García Burgos, David</name>
</author>
<id>https://hdl.handle.net/10481/76455</id>
<updated>2022-09-01T09:08:39Z</updated>
<summary type="text">Qué Controla la restricción de comida en pacientes que desarrollan trastornos alimentarios
García Burgos, David
Píldora audiovisual donde se explican los mecanismos comportamentales y psicobiológicos de la restricción de alimentos en pacientes que sufren de trastornos alimentarios.
</summary>
</entry>
<entry>
<title>T-maps for VBM analyses</title>
<link href="https://hdl.handle.net/10481/48216" rel="alternate"/>
<author>
<name>Ruiz de Lara, Cristian M.</name>
</author>
<author>
<name>Navas, Juan F.</name>
</author>
<author>
<name>Perales López, José César</name>
</author>
<id>https://hdl.handle.net/10481/48216</id>
<updated>2021-06-15T12:48:52Z</updated>
<summary type="text">T-maps for VBM analyses
Ruiz de Lara, Cristian M.; Navas, Juan F.; Perales López, José César
T-maps from SPM software output for VBM analyses as in Ruiz de Lara et al. "Regional grey matter volume correlates of gambling disorder, gambling-related cognitive distortions, and emotion-driven impulsivity".; spmT_0006_t_Test.nii.gz corresponds to between-group analyses (gambling disorder patients vs controls).; spmT_0002_IB.nii.gz and spmT_0002_NU.nii.gz correspond to regional grey matter volume regressed over interpretative bias and negative urgency scores, respectively.
These T-maps correspond to the VBM analyses reported in "Regional grey matter volume correlates of gambling disorder, gambling-related cognitive distortions, and emotion-driven impulsivity", authored by Cristian M. Ruiz de Lara, Juan F. Navas, Carles Soriano-Mas, Guillaume Sescousse, and  José C. Perales.
</summary>
</entry>
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