Overvaluation of weight and shape in obesity: a comparative study between people with and without binge eating disorder.

Introduction: The overvaluation of weight and shape is a diagnostic criterion in eating disorders, except in binge eating disorder (BED), where it has received less attention. This aspect is also not usually analyzed in people with overweight or obesity without an eating disorder. This research aims to identify the indicators of symptomatology, as well as those of self-construction and cognitive structure, that are associated with overvaluation in obesity, either alone or in conjunction with BED. Method: A sample of 102 overweight or obese participants was accessed. The sample was divided into four groups: one without overvaluation or BED (n = 33); a second with overvaluation and without BED (n = 21); a third with BED, but without overvaluation (n = 15), and a fourth with BED and overvaluation (n = 33). The groups completed instruments regarding eating symptomatology, anxiety, depression, and stress. In addition, they were administered the Repertory Grid Technique, a semi-structured interview to evaluate the cognitive structure involved in the construal of the self and others. Results: The factors of overvaluation and the presence of BED independently explained eating symptomatology, and the latter also showed a tendency to influence anxiety, depression, and stress. In terms of cognitive structure, weight polarization was explained by overvaluation, while BED was associated with a high presence of cognitive conflicts. In self-construction, BED was the factor that explained the differences, particularly in Self-Ideal discrepancy. Discussion: The results highlight the importance of overvaluation in obesity, even in the absence of BED. Its evaluation and treatment are recommended. Furthermore, in the case of BED, it is also advisable to evaluate the overvaluation of weight and shape since it can be a severity specifier.

All-in-one aerial image enhancement network for forest scenes.

Drone monitoring plays an irreplaceable and significant role in forest firefighting due to its characteristics of wide-range observation and real-time messaging. However, aerial images are often susceptible to different degradation problems before performing high-level visual tasks including but not limited to smoke detection, fire classification, and regional localization. Recently, the majority of image enhancement methods are centered around particular types of degradation, necessitating the memory unit to accommodate different models for distinct scenarios in practical applications. Furthermore, such a paradigm requires wasted computational and storage resources to determine the type of degradation, making it difficult to meet the real-time and lightweight requirements of real-world scenarios. In this paper, we propose an All-in-one Image Enhancement Network (AIENet) that can restore various degraded images in one network. Specifically, we design a new multi-scale receptive field image enhancement block, which can better reconstruct high-resolution details of target regions of different sizes. In particular, this plug-and-play module enables it to be embedded in any learning-based model. And it has better flexibility and generalization in practical applications. This paper takes three challenging image enhancement tasks encountered in drone monitoring as examples, whereby we conduct task-specific and all-in-one image enhancement experiments on a synthetic forest dataset. The results show that the proposed AIENet outperforms the state-of-the-art image enhancement algorithms quantitatively and qualitatively. Furthermore, extra experiments on high-level vision detection also show the promising performance of our method compared with some recent baselines.

Family connections in the treatment of relatives of people with eating disorders and personality disorders: study protocol of a randomized control trial.

BACKGROUND: Eating disorders (EDs) are serious disorders that significantly affect not only the lives of patients, but also those of their family members who often experience high levels of burden, suffering and helplessness. If, in addition to ED, the patient has a personality disorder (PD), the psychological distress experienced by family members can be devastating. However, few treatments have been developed for family members of people with ED and PD. Family Connections (FC) is a programme that has been shown to be effective for family members of people with borderline personality disorder. The overall aims of this work are: (a) to adapt FC for application to family members of patients with BPD-PD (FC: ED-PD); (b) to analyse, in a randomised controlled clinical trial, the efficacy of this programme in a Spanish population, compared to a control condition consisting of treatment as usual optimised treatment (TAU-O); (c) to analyse the feasibility of the intervention protocol; (d) to analyse whether the changes that may occur in relatives are related to improvements in the family climate and/or improvements observed in patients; and (e) to analyse the perceptions and opinions of relatives and patients about the two intervention protocols. METHODS: The study uses a two-arm randomised controlled clinical trial with two experimental conditions: adaptation of FC programme (FC: ED-PD) or Treatment as usual optimised (TAU-O). Participants will be family members of patients who meet DSM-5 criteria for ED and PD or dysfunctional personality traits. Participants will be assessed before and after treatment and at one-year follow-up. The intention-to-treat principle will be used when analysing the data. DISCUSSION: The results obtained are expected to confirm the effectiveness of the programme and its good acceptance by family members. Trial registration ClinicalTrials.gov Identifier: NCT05404035. Accepted: May 2022.

Semi-supervised wildfire smoke detection based on smoke-aware consistency.

The semi-transparency property of smoke integrates it highly with the background contextual information in the image, which results in great visual differences in different areas. In addition, the limited annotation of smoke images from real forest scenarios brings more challenges for model training. In this paper, we design a semi-supervised learning strategy, named smoke-aware consistency (SAC), to maintain pixel and context perceptual consistency in different backgrounds. Furthermore, we propose a smoke detection strategy with triple classification assistance for smoke and smoke-like object discrimination. Finally, we simplified the LFNet fire-smoke detection network to LFNet-v2, due to the proposed SAC and triple classification assistance that can perform the functions of some specific module. The extensive experiments validate that the proposed method significantly outperforms state-of-the-art object detection algorithms on wildfire smoke datasets and achieves satisfactory performance under challenging weather conditions.

A Hybrid Visual-Based SLAM Architecture: Local Filter-Based SLAM with KeyFrame-Based Global Mapping.

This work presents a hybrid visual-based SLAM architecture that aims to take advantage of the strengths of each of the two main methodologies currently available for implementing visual-based SLAM systems, while at the same time minimizing some of their drawbacks. The main idea is to implement a local SLAM process using a filter-based technique, and enable the tasks of building and maintaining a consistent global map of the environment, including the loop closure problem, to use the processes implemented using optimization-based techniques. Different variants of visual-based SLAM systems can be implemented using the proposed architecture. This work also presents the implementation case of a full monocular-based SLAM system for unmanned aerial vehicles that integrates additional sensory inputs. Experiments using real data obtained from the sensors of a quadrotor are presented to validate the feasibility of the proposed approach.

Monocular Visual SLAM Based on a Cooperative UAV-Target System.

To obtain autonomy in applications that involve Unmanned Aerial Vehicles (UAVs), the capacity of self-location and perception of the operational environment is a fundamental requirement. To this effect, GPS represents the typical solution for determining the position of a UAV operating in outdoor and open environments. On the other hand, GPS cannot be a reliable solution for a different kind of environments like cluttered and indoor ones. In this scenario, a good alternative is represented by the monocular SLAM (Simultaneous Localization and Mapping) methods. A monocular SLAM system allows a UAV to operate in a priori unknown environment using an onboard camera to simultaneously build a map of its surroundings while at the same time locates itself respect to this map. So, given the problem of an aerial robot that must follow a free-moving cooperative target in a GPS denied environment, this work presents a monocular-based SLAM approach for cooperative UAV-Target systems that addresses the state estimation problem of (i) the UAV position and velocity, (ii) the target position and velocity, (iii) the landmarks positions (map). The proposed monocular SLAM system incorporates altitude measurements obtained from an altimeter. In this case, an observability analysis is carried out to show that the observability properties of the system are improved by incorporating altitude measurements. Furthermore, a novel technique to estimate the approximate depth of the new visual landmarks is proposed, which takes advantage of the cooperative target. Additionally, a control system is proposed for maintaining a stable flight formation of the UAV with respect to the target. In this case, the stability of control laws is proved using the Lyapunov theory. The experimental results obtained from real data as well as the results obtained from computer simulations show that the proposed scheme can provide good performance.

A Randomized Trial of Deep Brain Stimulation to the Subcallosal Cingulate and Nucleus Accumbens in Patients with Treatment-Refractory, Chronic, and Severe Anorexia Nervosa: Initial Results at 6 Months of Follow Up.

BACKGROUND: The main objective of this study was to assess the safety and efficacy of deep brain stimulation (DBS) in patients with severe anorexia nervosa (AN). METHODS: Eight participants received active DBS to the subcallosal cingulate (SCC) or nucleus accumbens (NAcc) depending on comorbidities (affective or anxiety disorders, respectively) and type of AN. The primary outcome measure was body mass index (BMI). RESULTS: Overall, we found no significant difference (p = 0.84) between mean preoperative and postoperative (month 6) BMI. A BMI reference value (BMI-RV) was calculated. In patients that received preoperative inpatient care to raise the BMI, the BMI-RV was defined as the mean BMI value in the 12 months prior to surgery. In patients that did not require inpatient care, the BMI-RV was defined as the mean BMI in the 3-month period before surgery. This value was compared to the postoperative BMI (month 6), revealing a significant increase (p = 0.02). After 6 months of DBS, five participants showed an increase of ≥10% in the BMI-RV. Quality of life was improved (p = 0.03). Three cases presented cutaneous complications. CONCLUSION: DBS may be effective for some patients with severe AN. Cutaneous complications were observed. Longer term data are needed.

Assessing relative post-release mortality for the transparent goby fishery: Environmental drivers and the utility of vitality metrics.

The target species (Aphia minuta and Pseudaphya ferreri) of the transparent goby fishery on Mallorca Island (Balearic Islands, western Mediterranean) are currently discarded when the maximum daily catch is exceeded or when the sorting process is unworkable. The mortality suffered by this discarded fraction remains unknown, although it may be important for resource management. Accordingly, the aims of this study were to (1) assess the environmental drivers of the relative post-release survival of the discarded target species and (2) test the correlations between post-release survival and two behavior-related variables (swimming speed and its increase after a stimulus, assessed via video recording). To do so, mortality of the target species from 47 hauls sampled under normal fishing boat operations was monitored when the gear was onboard and after a few hours. At the reference level (an average depth of 25.7 m and temperature of 15.7 ºC), the immediate survival was 99.9% (95% CI: 97.9 to 100%), but the estimated post-release survival decreased to 47.2% (33.8 to 65.8%). Relative post-release mortality doubled when the water temperature increased by 2.8 ºC or when the fishing depth increased up to 32 m. Furthermore, the swimming speed of the target species was significantly correlated with the estimated post-release survival; thus, this vitality metric may offer a promising strategy for more easily estimating post-release mortality in other fisheries.

Design and Implementation of a Virtual Sensor Network for Smart Waste Water Monitoring.

Monitoring and analysis of open air basins is a critical task in waste water plant management. These tasks generally require sampling waters at several hard to access points, be it real time with multiparametric sensor probes, or retrieving water samples. Full automation of these processes would require deploying hundreds (if not thousands) of fixed sensors, unless the sensors can be translated. This work proposes the utilization of robotized unmanned aerial vehicle (UAV) platforms to work as a virtual high density sensor network, which could analyze in real time or capture samples depending on the robotic UAV equipment. To check the validity of the concept, an instance of the robotized UAV platform has been fully designed and implemented. A multi-agent system approach has been used (implemented over a Robot Operating System, ROS, middleware layer) to define a software architecture able to deal with the different problems, optimizing modularity of the software; in terms of hardware, the UAV platform has been designed and built, as a sample capturing probe. A description on the main features of the multi-agent system proposed, its architecture, and the behavior of several components is discussed. The experimental validation and performance evaluation of the system components has been performed independently for the sake of safety: autonomous flight performance has been tested on-site; the accuracy of the localization technologies deemed as deployable options has been evaluated in controlled flights; and the viability of the sample capture device designed and built has been experimentally tested.

EKF-Based Parameter Identification of Multi-Rotor Unmanned Aerial VehiclesModels.

This work presents a method for estimating the model parameters of multi-rotor unmanned aerial vehicles by means of an extended Kalman filter. Different from test-bed based identification methods, the proposed approach estimates all the model parameters of a multi-rotor aerial vehicle, using a single online estimation process that integrates measurements that can be obtained directly from onboard sensors commonly available in this kind of UAV. In order to develop the proposed method, the observability property of the system is investigated by means of a nonlinear observability analysis. First, the dynamic models of three classes of multi-rotor aerial vehicles are presented. Then, in order to carry out the observability analysis, the state vector is augmented by considering the parameters to be identified as state variables with zero dynamics. From the analysis, the sets of measurements from which the model parameters can be estimated are derived. Furthermore, the necessary conditions that must be satisfied in order to obtain the observability results are given. An extensive set of computer simulations is carried out in order to validate the proposed method. According to the simulation results, it is feasible to estimate all the model parameters of a multi-rotor aerial vehicle in a single estimation process by means of an extended Kalman filter that is updated with measurements obtained directly from the onboard sensors. Furthermore, in order to better validate the proposed method, the model parameters of a custom-built quadrotor were estimated from actual flight log data. The experimental results show that the proposed method is suitable to be practically applied.

Cognitive impairment in eating disorder patients of short and long-term duration: a case-control study.

Introduction: Several studies have noted the potentially negative effect of eating disorders (ED) on cognitive performance. Objective: To compare the impact of the duration of abnormal eating behaviors on cognitive performance in a sample of people with short- and long-term eating disorders and in two control groups matched for age. Method: The neuropsychological performance of 82 women diagnosed with an eating disorder were compared with two control groups from the community of 66 healthy women. Time of duration of the disorder was less than two years in half of the clinical sample, and more than 10 years in the other half. The following instruments were used to measure neuropsychological performance: the Matrix Test, the Stroop task, the Trail-Making Test, the Tower of London Test, the Posner Spatial Task, the Rey's Complex Figure, the Wechsler Vocabulary Test, and the Hayling Completion Test. Results: It showed that persons with long-term ED presented more impaired neuropsychological profiles, but not in all areas. In contrast, the short-term ED group presented similar profiles to the control groups. Discussion: This study highlights the positive association between cognitive impairment and time of evolution of ED, above all in perceptual measures and non-verbal memory. Considering the effect of the evolution of ED cognitive performance (especially in long-term patients) may further our understanding of the development of the disorder and the factors that may favor its persistence.

Body dissatisfaction and eating disorder symptomatology: Which factors interfere with sexuality in women with eating disorders?

Body dissatisfaction is a relevant aspect in both eating disorders and sexuality. Using Stice's model, this study aimed to evaluate the relationship between these variables in eating disorder patients compared with healthy controls. Statistically significant correlations between body dissatisfaction and sexuality were found in the whole sample. The clinical group had higher rates of body dissatisfaction and sexual impairment. Within the clinical group, the participants with a greater drive for thinness showed higher sexual dysfunctions. These results suggest that sexuality should be systematically explored in eating disorders. Higher rates of drive for thinness may be associated with greater sexual impairment.

Visual-Based SLAM Configurations for Cooperative Multi-UAV Systems with a Lead Agent: An Observability-Based Approach.

In this work, the problem of the cooperative visual-based SLAM for the class of multi-UA systems that integrates a lead agent has been addressed. In these kinds of systems, a team of aerial robots flying in formation must follow a dynamic lead agent, which can be another aerial robot, vehicle or even a human. A fundamental problem that must be addressed for these kinds of systems has to do with the estimation of the states of the aerial robots as well as the state of the lead agent. In this work, the use of a cooperative visual-based SLAM approach is studied in order to solve the above problem. In this case, three different system configurations are proposed and investigated by means of an intensive nonlinear observability analysis. In addition, a high-level control scheme is proposed that allows to control the formation of the UAVs with respect to the lead agent. In this work, several theoretical results are obtained, together with an extensive set of computer simulations which are presented in order to numerically validate the proposal and to show that it can perform well under different circumstances (e.g., GPS-challenging environments). That is, the proposed method is able to operate robustly under many conditions providing a good position estimation of the aerial vehicles and the lead agent as well.

Emotional eating and cognitive conflicts as predictors of binge eating disorder in patients with obesity.

Background/Objectives: Binge Eating Disorder (BED) is often associated with obesity. In order to identify the variables that allow to better detect the presence of BED, people with overnutrition were compared with and without BED in the presence of cognitive conflicts, eating symptoms and anxious-depressive symptoms. The inclusion of cognitive conflicts had been relevant in bulimia studies but had not been investigated with respect to BED. Method: Two groups with obesity were evaluated, one without BED (OB, n = 54) and the other with BED (OB-BED, n = 48), using a social-demographic questionnaire as well as a semi-structured interview to assess BED, questionnaires (DASS-21, EDE-Q, EEQ) and the Repertory Grid Technique. Results: Overall, the OB-BED group presented more conflicts and more symptoms. The model that best differentiated between the groups included emotional eating and level of cognitive conflicts, correctly classifying 91.4% of the sample. Conclusion: These results highlight the role played by cognitive conflicts and emotional eating as differentiating elements between OB and OB-BED, with a high level of predictive accuracy.

Antecedentes/Objetivos: El trastorno por Atracón (TA) es un trastorno de la conducta alimentaria asociado frecuentemente con la obesidad. Con el objetivo de identificar las variables que permiten detectar mejor la presencia de TA se compararon personas con malnutrición por exceso con y sin TA respecto a la presencia de conflictos cognitivos, sintomatología alimentaria y sintomatología ansioso-depresiva. La inclusión de los conflictos cognitivos había resultado relevante en estudios con bulimia pero no habían sido investigados con respecto al TA. Método: Se evaluó a dos grupos con obesidad, uno sin TA (OB, n = 54) y otro con TA (OBTA, n = 48), utilizando un cuestionario sociodemográfico, una entrevista semiestructurada para evaluar TA, cuestionarios (DASS-21, EDE-Q, EEQ) y la Técnica de la Rejilla. Se realizaron análisis de comparación de grupos y de regresión logística. Resultados: El grupo OBTA presentó más conflictos y más sintomatología. El modelo que mejor diferenció entre los grupos incluyó la alimentación emocional y el nivel de conflictos cognitivos, clasificando correctamente al 91,4% de la muestra. Conclusiones: Estos resultados resaltan el rol que juegan los conflictos cognitivos y la alimentación emocional como aspectos diferenciadores entre OB y OBTA, con un alto nivel de precisión predictiva.

UAV Visual and Laser Sensors Fusion for Detection and Positioning in Industrial Applications.

This work presents a solution to localize Unmanned Autonomous Vehicles with respect to pipes and other cylindrical elements found in inspection and maintenance tasks both in industrial and civilian infrastructures. The proposed system exploits the different features of vision and laser based sensors, combining them to obtain accurate positioning of the robot with respect to the cylindrical structures. A probabilistic (RANSAC-based) procedure is used to segment possible cylinders found in the laser scans, and this is used as a seed to accurately determine the robot position through a computer vision system. The priors obtained from the laser scan registration help to solve the problem of determining the apparent contour of the cylinders. In turn this apparent contour is used in a degenerate quadratic conic estimation, enabling to visually estimate the pose of the cylinder.

Adaptation and psychometric properties of the spanish version of the yp-core (Young Person's Clinical Outcomes in Routine Evaluation).

INTRODUCTION: Given the increasing prevalence of mental health problems in the general population, it is indispensable to use assessment tools aimed to assess the outcome of therapeutic interventions in order to refine the process of psychological rehabilitation. METHOD: We describe the process of adaptation into Spanish and a first psychometric study of the Young Person's- Clinical Outcomes in Routine Evaluation (YP-CORE), an instrument designed to measure the outcome in terms of general distress of therapeutic interventions in young people (11-16 years). 104 adolescents participated in the clinical and 131 in the non-clinical samples. RESULTS: Analyses showed good levels of acceptability, adequate internal consistency and acceptable test-retest stability, with moderately high correlations between administrations. In addition, the instrument yielded significant correlations with all dimensions of the Youth Self Report, the highest being between both total scores. Crucially, discriminated between clinical and non-clinical samples and showed a small effect of age but a larger effect of gender, with higher scores for females. The Principal Component Analysis replicates the original structure. Cut-off scores to calculate the reliable and clinically significant change are provided. CONCLUSIONS: These results support initial use of the instrument though there are certain limitations that indicate the need for more research with larger and more representative samples, in which the psychometric properties of the instrument should be verified.

Adaptación y propiedades psicométricas de la versión española del yp-core (Young Person's Clinical Outcomes in Routine Evaluation) / Adaptation and psychometric properties of the spanish version of the yp-core (Young Person's Clinical Outcomes in Routine Evaluation)

Introducción. Ante la creciente prevalencia de problemas de salud mental en la población general, resulta imprescindible el uso de instrumentos de evaluación destinados a evaluar el resultado de las intervenciones terapéuticas, con el fin de facilitar el proceso de rehabilitación psicológica. Metodología. Se expone el proceso de adaptación al español y un primer estudio psicométrico del Young Person's Clinical Outcomes in Routine Evaluation (YP-CORE), un instrumento diseñado para medir el resultado de las intervenciones terapéuticas a través de la evaluación del malestar general en población infanto-juvenil (11-16 años). Para ello, se ha tenido en cuenta una muestra clínica de 104 participantes y otra no clínica de 131. Resultados. Los análisis han demostrado una buena aceptabilidad, una consistencia interna adecuada, así como una estabilidad test-retest aceptable, con correlaciones moderadamente elevadas. Además, el instrumento ha reflejado correlaciones significativas con todas las dimensiones del Youth Self Report, siendo las más elevadas entre ambas puntuaciones totales. También resulta útil a la hora de discriminar entre la población clínica y no clínica, mostrando poca influencia de la edad, pero sí del sexo, con puntuaciones más elevadas en el género femenino. El Análisis de Componentes Principales replica la estructura original. También se proporcionan los puntos de corte que servirán para calcular el cambio fiable y clínicamente significativo. Conclusiones. Los resultados expuestos permiten hacer un uso fiable del instrumento, aunque se mencionan ciertas limitaciones que sugieren la necesidad de realizar investigaciones con muestras mayores y más representativas, en las cuales se verifiquen las propiedades psicométricas del instrumento

Introduction. Given the increasing prevalence of mental health problems in the general population, it is indispensable to use assessment tools aimed to assess the outcome of therapeutic interventions in order to refine the process of psychological rehabilitation. Method. We describe the process of adaptation into Spanish and a first psychometric study of the Young Person's-Clinical Outcomes in Routine Evaluation (YP-CORE), an instrument designed to measure the outcome in terms of general distress of therapeutic interventions in young people (11-16 years). 104 adolescents participated in the clinical and 131 in the non-clinical samples. Results. Analyses showed good levels of acceptability, adequate internal consistency and acceptable test-retest stability, with moderately high correlations between administrations. In addition, the instrument yielded significant correlations with all dimensions of the Youth Self Report, the highest being between both total scores. Crucially, discriminated between clinical and non-clinical samples and showed a small effect of age but a larger effect of gender, with higher scores for females. The Principal Component Analysis replicates the original structure. Cut-off scores to calculate the reliable and clinically significant change are provided. Conclusions. These results support initial use of the instrument though there are certain limitations that indicate the need for more research with larger and more represen tative samples, in which the psychometric properties of the instrument should be verified

Comparing the catch composition, profitability and discard survival from different trammel net designs targeting common spiny lobster (Palinurus elephas) in a Mediterranean fishery.

In the Balearic Islands, different trammel net designs have been adopted to promote fisheries sustainability and reduce discards. Here, we compare the catch performance of three trammel net designs targeting the spiny lobster Palinurus elephas in terms of biomass, species composition and revenue from commercial catches and discards. Designs differ in the netting fiber type (standard polyfilament, PMF, or a new polyethylene multi-monofilament, MMF) and the use of a guarding net or greca, a mesh piece intended to reduce discards. Catches were surveyed by an on-board observer from 1,550 netting walls corresponding to 70 nets. The number of marketable species captured indicated that the lobster trammel net fishery has multiple targets, which contribute significantly to the total revenue. The discarded species ranged from habitat-forming species to elasmobranches, but the magnitude of gear-habitat interactions on the long term dynamics of benthos remains unclear. No relevant differences in revenue and weight of discards were detected after Bayesian analyses. However, the species composition of discards was different when using greca. Interestingly, high immediate survival was found for discarded undersized lobsters, while a seven day survival assessment, using captive observation, gave an asymptotic estimate of survival probability as 0.64 (95% CI [0.54-0.76]). Therefore, it is recommended that it would be beneficial for this stock if an exemption from the EU landing obligation regulation was sought for undersized lobsters in the Balearic trammel net fishery.

Cooperative Monocular-Based SLAM for Multi-UAV Systems in GPS-Denied Environments.

This work presents a cooperative monocular-based SLAM approach for multi-UAV systems that can operate in GPS-denied environments. The main contribution of the work is to show that, using visual information obtained from monocular cameras mounted onboard aerial vehicles flying in formation, the observability properties of the whole system are improved. This fact is especially notorious when compared with other related visual SLAM configurations. In order to improve the observability properties, some measurements of the relative distance between the UAVs are included in the system. These relative distances are also obtained from visual information. The proposed approach is theoretically validated by means of a nonlinear observability analysis. Furthermore, an extensive set of computer simulations is presented in order to validate the proposed approach. The numerical simulation results show that the proposed system is able to provide a good position and orientation estimation of the aerial vehicles flying in formation.

Emotional eating and cognitive conflicts as predictors of binge eating disorder in patients with obesity / Alimentación emocional y conflictos cognitivos como predictores del trastorno por atracón en pacientes con obesidad

Background/Objectives: Binge Eating Disorder (BED) is often associated with obesity. In order to identify the variables that allow to better detect the presence of BED, people with overnutrition were compared with and without BED in the presence of cognitive conflicts, eating symptoms and anxious-depressive symptoms. The inclusion of cognitive conflicts had been relevant in bulimia studies but had not been investigated with respect to BED. Method: Two groups with obesity were evaluated, one without BED (OB, n = 54) and the other with BED (OBBED, n = 48), using a social-demographic questionnaire as well as a semi-structured interview to assess BED, questionnaires (DASS-21, EDE-Q, EEQ) and the Repertory Grid Technique. Results: Overall, the OB-BED group presented more conflicts and more symptoms. The model that best differentiated between the groups included emotional eating and level of cognitive conflicts, correctly classifying 91.4% of the sample. Conclusion: These results highlight the role played by cognitive conflicts and emotional eating as differentiating elements between OB and OB-BED, with a high level of predictive accuracy (AU)

Antecedentes/Objetivos: El trastorno por Atracón (TA) es un trastorno de la conducta alimentaria asociado frecuentemente con la obesidad. Con el objetivo de identificar las variables que permiten detectar mejor la presencia de TA se compararon personas con malnutrición por exceso con y sin TA respecto a la presencia de conflictos cognitivos, sintomatología alimentaria y sintomatología ansioso-depresiva. La inclusión de los conflictos cognitivos había resultado relevante en estudios con bulimia pero no habían sido investigados con respecto al TA. Método: Se evaluó a dos grupos con obesidad, uno sin TA (OB, n = 54) y otro con TA (OBTA, n = 48), utilizando un cuestionario sociodemográfico, una entrevista semiestructurada para evaluar TA, cuestionarios (DASS-21, EDE-Q, EEQ) y la Técnica de la Rejilla. Se realizaron análisis de comparación de grupos y de regresión logística. Resultados: El grupo OBTA presentó más conflictos y más sintomatología. El modelo que mejor diferenció entre los grupos incluyó la alimentación emocional y el nivel de conflictos cognitivos, clasificando correctamente al 91,4% de la muestra. Conclusiones: Estos resultados resaltan el rol que juegan los conflictos cognitivos y la alimentación emocional como aspectos diferenciadores entre OB y OBTA, con un alto nivel de precisión predictiva (AU)