Unsupervised literature mining approaches for extracting relationships pertaining to habitats and reproductive conditions of plant species.

Introduction: Fine-grained, descriptive information on habitats and reproductive conditions of plant species are crucial in forest restoration and rehabilitation efforts. Precise timing of fruit collection and knowledge of species' habitat preferences and reproductive status are necessary especially for tropical plant species that have short-lived recalcitrant seeds, and those that exhibit complex reproductive patterns, e.g., species with supra-annual mass flowering events that may occur in irregular intervals. Understanding plant regeneration in the way of planning for effective reforestation can be aided by providing access to structured information, e.g., in knowledge bases, that spans years if not decades as well as covering a wide range of geographic locations. The content of such a resource can be enriched with literature-derived information on species' time-sensitive reproductive conditions and location-specific habitats. Methods: We sought to develop unsupervised approaches to extract relationships pertaining to habitats and their locations, and reproductive conditions of plant species and corresponding temporal information. Firstly, we handcrafted rules for a traditional rule-based pattern matching approach. We then developed a relation extraction approach building upon transformer models, i.e., the Text-to-Text Transfer Transformer (T5), casting the relation extraction problem as a question answering and natural language inference task. We then propose a novel unsupervised hybrid approach that combines our rule-based and transformer-based approaches. Results: Evaluation of our hybrid approach on an annotated corpus of biodiversity-focused documents demonstrated an improvement of up to 15 percentage points in recall and best performance over solely rule-based and transformer-based methods with F1-scores ranging from 89.61 to 96.75% for reproductive condition - temporal expression relations, and ranging from 85.39% to 89.90% for habitat - geographic location relations. Our work shows that even without training models on any domain-specific labeled dataset, we are able to extract relationships between biodiversity concepts from literature with satisfactory performance.

Underlying and proximate drivers of biodiversity changes in Mesoamerican biosphere reserves.

Protected areas are of paramount relevance to conserving wildlife and ecosystem contributions to people. Yet, their conservation success is increasingly threatened by human activities including habitat loss, climate change, pollution, and species overexploitation. Thus, understanding the underlying and proximate drivers of anthropogenic threats is urgently needed to improve protected areas' effectiveness, especially in the biodiversity-rich tropics. We addressed this issue by analyzing expert-provided data on long-term biodiversity change (last three decades) over 14 biosphere reserves from the Mesoamerican Biodiversity Hotspot. Using multivariate analyses and structural equation modeling, we tested the influence of major socioeconomic drivers (demographic, economic, and political factors), spatial indicators of human activities (agriculture expansion and road extension), and forest landscape modifications (forest loss and isolation) as drivers of biodiversity change. We uncovered a significant proliferation of disturbance-tolerant guilds and the loss or decline of disturbance-sensitive guilds within reserves causing a "winner and loser" species replacement over time. Guild change was directly related to forest spatial changes promoted by the expansion of agriculture and roads within reserves. High human population density and low nonfarming occupation were identified as the main underlying drivers of biodiversity change. Our findings suggest that to mitigate anthropogenic threats to biodiversity within biosphere reserves, fostering human population well-being via sustainable, nonfarming livelihood opportunities around reserves is imperative.

Comparative analysis of kinetic realizations of insulin signaling.

Several studies have developed dynamical models to understand the underlying mechanisms of insulin signaling, a signaling cascade that leads to the translocation of glucose, the human body's main source of energy. Fortunately, reaction network analysis allows us to extract properties of dynamical systems without depending on their model parameter values. This study focuses on the comparison of insulin signaling in healthy state (INSMS or INSulin Metabolic Signaling) and in type 2 diabetes (INRES or INsulin RESistance) using reaction network analysis. The analysis uses network decomposition to identify the different subsystems involved in insulin signaling (e.g., insulin receptor binding and recycling, GLUT4 translocation, and ERK signaling pathway, among others). Furthermore, results show that INSMS and INRES are similar with respect to some network, structo-kinetic, and kinetic properties. Their differences, however, provide insights into what happens when insulin resistance occurs. First, the variation in the number of species involved in INSMS and INRES suggests that when irregularities occur in the insulin signaling pathway, other complexes (and, hence, other processes) get involved, characterizing insulin resistance. Second, the loss of concordance exhibited by INRES suggests less restrictive interplay between the species involved in insulin signaling, leading to unusual activities in the signaling cascade. Lastly, GLUT4 losing its absolute concentration robustness in INRES may signify that the transporter has lost its reliability in shuttling glucose to the cell, inhibiting efficient cellular energy production. This study also suggests possible applications of the equilibria parametrization and network decomposition, resulting from the analysis, to potentially establish absolute concentration robustness in a species.

Plasma concentration of leptin is related to food addiction in gambling disorder: Clinical and neuropsychological implications.

Background: Data implicate overlaps in neurobiological pathways involved in appetite regulation and addictive disorders. Despite different neuroendocrine measures having been associated with both gambling disorder (GD) and food addiction (FA), how appetite-regulating hormones may relate to the co-occurrence of both entities remain incompletely understood. Aims: To compare plasma concentrations of ghrelin, leptin, adiponectin, and liver-expressed antimicrobial peptide 2 (LEAP-2) between patients with GD, with and without FA, and to explore the association between circulating hormonal concentrations and neuropsychological and clinical features in individuals with GD and FA. Methods: The sample included 297 patients diagnosed with GD (93.6% males). None of the patients with GD had lifetime diagnosis of an eating disorder. FA was evaluated with the Yale Food Addiction Scale 2.0. All patients were assessed through a semi-structured clinical interview and a psychometric battery including neuropsychological tasks. Blood samples to measure hormonal variables and anthropometric variables were also collected. Results: From the total sample, FA was observed in 23 participants (FA+) (7.7% of the sample, 87% males). When compared participants with and without FA, those with FA+ presented both higher body mass index (BMI) (p < 0.001) and leptin concentrations, after adjusting for BMI (p = 0.013). In patients with FA, leptin concentrations positively correlated with impulsivity, poorer cognitive flexibility, and poorer inhibitory control. Other endocrine measures did not differ between groups. Discussion and conclusions: The present study implicates leptin in co-occurring GD and FA. Among these patients, leptin concentration has been associated with clinical and neuropsychological features, such as impulsivity and cognitive performance in certain domains.

Deforestation increases the abundance of rodents and their ectoparasites in the Lacandon forest, Southern Mexico

Introduction: Tropical forests provide important ecosystem services, including disease control. However, few studies have focused on how deforestation affects species more suitable to be zoonotic vectors. Objective: To evaluate how deforestation affects the abundance and species richness of rodents and their associated ectoparasites in a tropical ecosystem. Methods: We captured rodents in 6 landscape units, 1 km² each, with 0.7; 5; 40; 46; 78 and 95 % tree cover, in Marques de Comillas, Chiapas, Southern Mexico. In each unit we set 90 Sherman traps that were active 24 hours for 7 days during two sampling seasons (October 2019, and September 2020). We manually extracted ectoparasites from all captured rodents. Results: We captured 70 rodents of five species: Sigmodon toltecus, Heteromys desmarestianus, Ototylomys phyllotis, Peromyscus mexicanus, and Oryzomys couesi. Rodent abundance increased with forest loss (R²= 0.706, P= 0.022). The greatest richness of rodent species occurred in sites with intermediate forest cover (40 and 78 %). The most abundant species were: S. toltecus (N= 45) followed by O. couesi (N= 9), these species dominated in sites with less forest cover. We recorded a total of 23 ectoparasite species, three of them known to be zoonotic vectors: Amblyomma sp., Ornithonyssus bacoti, and Androlaelaps fahrenholzi. Conclusions: The ongoing loss of forests promotes the proliferation of zoonotic disease vectors in this tropical ecosystem, which can potentially increase the frequency of affectation among the local population.

Introducción: Un servicio particularmente importante que brindan los bosques tropicales es el control de enfermedades. Sin embargo, pocos estudios se han enfocado en analizar cómo este servicio es afectado por la deforestación. Objetivo: Evaluar el efecto de la deforestación en la abundancia y riqueza de especies de roedores y de sus ectoparásitos en Marqués de Comillas, en el sureste de México. Métodos: Capturamos roedores en 6 unidades del paisaje (UP), cada una de 1 km², con distintos porcentajes de cobertura vegetal (0.7, 5, 40, 46, 78 y 95 %). En cada UP colocamos 90 trampas Sherman, que permanecieron activas las 24 horas por 7 días durante dos muestreos en octubre 2019 y septiembre 2020. Todos los roedores capturados fueron revisados para detectar ectoparásitos en su pelaje que fueron recolectados para su posterior identificación en el laboratorio. Resultados: Capturamos 70 roedores de cinco especies: Sigmodon toltecus, Heteromys desmarestianus, Ototylomys phyllotis, Peromyscus mexicanus y Oryzomys couesi. La abundancia de roedores aumentó con la pérdida de bosque (R² = 0.706, P = 0.022). La mayor riqueza de especies de roedores se presentó en sitios con cobertura forestal intermedia (40 y 78 %). Las especies más abundantes fueron: S. toltecus (N = 45) seguido de O. couesi (N = 9), estas especies dominaron en los sitios con menor cobertura forestal. Registramos un total de 23 ectoparásitos diferentes, identificamos 15 a nivel de especie y ocho a nivel de género. Los sitios con menor cobertura forestal presentaron la menor riqueza de especies de ectoparásitos. Detectamos tres especies de ectoparásitos (Amblyomma sp., Ornithonyssus bacoti y Androlaelaps fahrenholzi) que se sabe que son vectores de enfermedades zoonóticas. Conclusión: Encontramos que la deforestación está promoviendo un aumento en la proliferación de vectores de enfermedades zoonóticas lo que, a su vez, tiene el potencial de incrementar las afectaciones de la población local.

Differential utilization of surface and arboreal water bodies by birds and mammals in a seasonally dry Neotropical forest in southern Mexico.

Water availability significantly influences bird and mammal ecology in terrestrial ecosystems. However, our understanding of the role of water as a limiting resource for birds and mammals remains partial because most of the studies have focused on surface water bodies in desert and semi-desert ecosystems. This study assessed the use of two types of surface water bodies (waterholes and epikarst rock pools) and one arboreal (water-filled tree holes) by birds and mammals in the seasonally dry tropical forests of the Calakmul Biosphere Reserve in southern Mexico. We deployed camera traps in 23 waterholes, 22 rock pools, and 19 water-filled tree holes in this karstic region to record visits by small, medium, and large-bodied birds and mammals during the dry and rainy seasons. These cameras were set up for recording videos documenting when animals were making use of water for drinking, bathing, or both. We compared the species diversity and composition of bird and mammal assemblages using the different types of water bodies by calculating Hill numbers and conducting nonmetric multidimensional scaling (NMDS), indicator species, and contingency table analyses. There was a greater species richness of birds and mammals using surface water bodies than tree holes during both seasons. There were significant differences in species composition among bird assemblages using the different water bodies, but dominant species and diversity remained the same. Terrestrial and larger mammalian species preferentially used surface water bodies, whereas arboreal and scansorial small and medium mammals were more common in arboreal water bodies. These findings suggest that differences in water body characteristics might favor segregation in mammal activity. The different water bodies may act as alternative water sources for birds and complementary sources for mammals, potentially favoring species coexistence and increasing community resilience to environmental variation (e.g., fluctuations in water availability). Understanding how differences in water bodies favor species coexistence and community resilience is of great relevance from a basic ecological perspective but is also crucial for anticipating the effects that the increased demand for water by humans and climate change can have on wildlife viability.

Clinical Correlates of Sports Betting: A Systematic Review.

Sports betting is becoming increasingly widespread, and a growing number of individuals, both adolescents and adults, participate in this type of gambling. The main aim of this systematic review was to assess correlates of sports betting (sociodemographic features, gambling-related variables, co-occurring psychopathologies, and personality tendencies) through a systematic review conducted following the PRISMA guidelines. Relevant studies were identified via searches of NCBI/PubMed and APA PsycInfo databases. Individuals from the general population and/or with a clinical diagnosis of gambling disorder (GD) were included, irrespective of gender and age. In addition, the studies needed to have administered at least one clinical interview/psychometric instrument to assess the presence of problematic gambling/GD, contain at least one group of participants with sports betting, and directly analyze the association between sports betting and any of the following features: sociodemographics, gambling-related variables, co-occurring psychopathologies, and/or personality tendencies. Fifty-four articles were included. Multiple sociodemographic variables have been studied in relation to sports betting. In general, males with high impulsivity have greater tendencies for sports betting. The co-occurrence of certain pathologies, especially substance use or other addictive disorders, was also suggested. Most studies were cross-sectional, assessed participants using self-administered instruments, recruited samples using non-probability online panels, included small samples, had unbalanced samples, and included samples from only one country. Impulsive males may be particularly prone to sports gambling and related problems. Future research should examine prevention strategies that may help prevent the development of sport-betting-related GD and other addictive behaviors in vulnerable individuals.

Cyberbullying and Gambling Disorder: Associations with Emotion Regulation and Coping Strategies.

The presence of unsuitable coping and emotion regulation strategies in young populations with gambling disorder (GD) and in those who have experienced cyberbullying victimization has been suggested. However, this association has not been explored in depth. In this study, our aim was to analyze individual differences in emotion regulation, coping strategies, and substance abuse in a clinical sample of adolescents and young adult patients with GD (n = 31) and in a community sample (n = 250). Furthermore, we aimed to examine the association between cyberbullying and GD. Participants were evaluated using the Cyberbullying Questionnaire-Victimization, the Canadian Adolescent Gambling Inventory, the Coping Strategies Inventory, the Difficulties in Emotion Regulation Scale, the Alcohol Use Disorders Identification Test and the Drug Use Disorders Identification Test. Structural Equation Modeling was used to explore associations between these factors in a community sample and in a clinical group. In both groups, exposure to cyberbullying behaviors was positively associated with higher emotion dysregulation and the use of maladaptative coping styles. Our findings uphold that adolescents and young adults who were victims of cyberbullying show difficulties in emotion regulation and maladaptive coping strategies when trying to solve problems. The specific contribution of sex, age, gambling severity, emotion regulation, and coping strategies on cyberbullying severity is also discussed. Populations at vulnerable ages could potentially benefit from public prevention policies that target these risk factors.

Checklist of the subfamily Scolytinae (Coleoptera: Curculionidae) in Tucumn province, Argentina.

A checklist of Scolytinae species is presented to contribute to the knowledge of the biodiversity of the subfamily in Tucumn province, Argentina. The inventory was based on collections in the field from 2016 to 2023, and a review of the material deposited in the entomological collections of the Museo de La Plata, the Museo Argentino de Ciencias Naturales Bernardino Rivadavia, and the Fundacin Miguel Lillo. Previous bibliographic records were also included. In total, 54 species belonging to 11 tribes were recorded, of which six were new reports for Argentina and nine for Tucumn province; eight species were introduced. The genus Amasa was also recorded in Argentina for the first time.

Are Signals Regulating Energy Homeostasis Related to Neuropsychological and Clinical Features of Gambling Disorder? A Case-Control Study.

Gambling disorder (GD) is a modestly prevalent and severe condition for which neurobiology is not yet fully understood. Although alterations in signals involved in energy homeostasis have been studied in substance use disorders, they have yet to be examined in detail in GD. The aims of the present study were to compare different endocrine and neuropsychological factors between individuals with GD and healthy controls (HC) and to explore endocrine interactions with neuropsychological and clinical variables. A case−control design was performed in 297 individuals with GD and 41 individuals without (healthy controls; HCs), assessed through a semi-structured clinical interview and a psychometric battery. For the evaluation of endocrine and anthropometric variables, 38 HCs were added to the 41 HCs initially evaluated. Individuals with GD presented higher fasting plasma ghrelin (p < 0.001) and lower LEAP2 and adiponectin concentrations (p < 0.001) than HCs, after adjusting for body mass index (BMI). The GD group reported higher cognitive impairment regarding cognitive flexibility and decision-making strategies, a worse psychological state, higher impulsivity levels, and a more dysfunctional personality profile. Despite failing to find significant associations between endocrine factors and either neuropsychological or clinical aspects in the GD group, some impaired cognitive dimensions (i.e., WAIS Vocabulary test and WCST Perseverative errors) and lower LEAP2 concentrations statistically predicted GD presence. The findings from the present study suggest that distinctive neuropsychological and endocrine dysfunctions may operate in individuals with GD and predict GD presence. Further exploration of endophenotypic vulnerability pathways in GD appear warranted, especially with respect to etiological and therapeutic potentials.

Common and differential risk factors behind suicidal behavior in patients with impulsivity-related disorders: The case of bulimic spectrum eating disorders and gambling disorder.

Background and aims: Mental disorders with high levels of impulsivity such as bulimic spectrum eating disorders (BSED) and gambling disorder (GD) are associated with high risk of suicidal behavior. The aim of the present study was to identify the common and differential vulnerability factors behind suicide attempts in a sample of patients with BSED compared to patients with GD. Methods: A total of 6,077 adults who sought treatment and met criteria either for BSED (n = 2,391) or GD (n = 3,686) were assessed at a specialized hospital unit. Personality traits, psychopathological symptomatology, lifetime history of suicide attempts and socio-demographic variables were evaluated. Results: The prevalence of suicide attempts was higher for BSED patients (26.2%) compared to GD patients (7.1%) being anorexia nervosa (Binge/Purge type) and bulimia nervosa the most affected subtypes. In the predictive model, the transdiagnostic vulnerability factors with the highest contribution to the risk of suicidal behavior both in BSED and GD were unemployment, early age of onset of the disorder, worse psychopathological state, and self-transcendence personality trait. However, specific risk factors for suicidal acts were identified in each disorder: longer duration of the disorder, lower education levels and reward dependence were exclusively associated with BSED while female gender, older age, and higher harm avoidance were associated with GD. Discussion: Patients with GD and BSED share certain vulnerability factors although certain factors are exclusive to each disorder. Conclusions: Interventions need to pay special attention to both common and specific vulnerability factors to mitigate the risk of suicidal acts in these disorders.

Reaction Network Analysis of Metabolic Insulin Signaling.

Absolute concentration robustness (ACR) and concordance are novel concepts in the theory of robustness and stability within Chemical Reaction Network Theory. In this paper, we have extended Shinar and Feinberg's reaction network analysis approach to the insulin signaling system based on recent advances in decomposing reaction networks. We have shown that the network with 20 species, 35 complexes, and 35 reactions is concordant, implying at most one positive equilibrium in each of its stoichiometric compatibility class. We have obtained the system's finest independent decomposition consisting of 10 subnetworks, a coarsening of which reveals three subnetworks which are not only functionally but also structurally important. Utilizing the network's deficiency-oriented coarsening, we have developed a method to determine positive equilibria for the entire network. Our analysis has also shown that the system has ACR in 8 species all coming from a deficiency zero subnetwork. Interestingly, we have shown that, for a set of rate constants, the insulin-regulated glucose transporter GLUT4 (important in glucose energy metabolism), has stable ACR.

Exploring the Association between Gambling-Related Offenses, Substance Use, Psychiatric Comorbidities, and Treatment Outcome.

Several studies have explored the association between gambling disorder (GD) and gambling-related crimes. However, it is still unclear how the commission of these offenses influences treatment outcomes. In this longitudinal study we sought: (1) to explore sociodemographic and clinical differences (e.g., psychiatric comorbidities) between individuals with GD who had committed gambling-related illegal acts (differentiating into those who had had legal consequences (n = 31) and those who had not (n = 55)), and patients with GD who had not committed crimes (n = 85); and (2) to compare the treatment outcome of these three groups, considering dropouts and relapses. Several sociodemographic and clinical variables were assessed, including the presence of substance use, and comorbid mental disorders. Patients received 16 sessions of cognitive-behavioral therapy. Patients who reported an absence of gambling-related illegal behavior were older, and showed the lowest GD severity, the most functional psychopathological state, the lowest impulsivity levels, and a more adaptive personality profile. Patients who had committed offenses with legal consequences presented the highest risk of dropout and relapses, higher number of psychological symptoms, higher likelihood of any other mental disorders, and greater prevalence of tobacco and illegal drugs use. Our findings uphold that patients who have committed gambling-related offenses show a more complex clinical profile that may interfere with their adherence to treatment.

Sports-betting-related gambling disorder: Clinical features and correlates of cognitive behavioral therapy outcomes.

BACKGROUND AND AIMS: The number of patients with gambling disorder (GD) whose gambling preference is sports betting is increasing. However, their clinical profile and their responses to psychological treatments -compared to patients with other forms of gambling- have not been thoroughly studied. Therefore, the aims of this study were: (1) to compare the clinical characteristics of GD patients whose primary gambling activity was sports betting (SB+; n = 113) with GD patients with other primary gambling activities (SB-; n = 1,135); (2) to compare treatment outcomes (dropout and relapses) between SB + and SB- patients; and (3) to explore relationships between specific variables (GD severity, psychological distress and personality features) and treatment outcome in SB + and SB- GD patients, through correlation models and path-analysis. METHODS: The cognitive behavioral treatment consisted of 16 weekly sessions. Personality features, psychopathology, and sociodemographic and clinical factors were assessed. RESULTS: The SB + group included higher proportions of younger patients who were single and had higher educational levels, older ages of GD onset, and greater GD severities. Regarding treatment outcomes, the dropout rate was lower in the SB + group, and no between-group differences were found regarding relapse. Dropout within the SB + group was related to being unemployed, and relapse was related to being unmarried and experiencing more psychological distress. DISCUSSION AND CONCLUSION: The differences between SB + and SB- GD patients suggest that GD patients with sports-betting problems may benefit from tailored therapeutic approaches.

COVID-19 prediction of tendency for 2021 in northwestern Argentina. / Pronóstico de la tendencia de COVID-19 para 2021 en el noroeste de Argentina.

Using a lagged polynomial regression model, which used COVID-19 data from 2020 with no vaccines, the prediction of COVID-19 was performed in a scenario with vaccine administration for Tucumán in 2021. The modeling included the identification of a contagion breaking point between both series with the best correlation. Previously, the lag that served to obtain the smallest error between the expected and observed values was indicated by means of cross correlation. The validation of the model was carried out with real data. In 21 days, 18,640 COVID-19 cases out of 20,400 reported cases were predicted. The maximum peak of COVID-19 was estimated 21 days in advance with the expected intensity.

Usando un modelo de regresión polinomial con retraso, que empleó datos de COVID-19 de 2020 con ausencia de vacunas, se realizó la predicción de COVID-19 en un escenario con administración de vacunas para Tucumán en 2021. La modelación incluyó la identificación de un punto de quiebre de contagios entre ambas series con la mejor correlación. Previamente, se indicó por medio de correlación cruzada el lag que sirvió para obtener el menor error entre los valores esperados y los observados. La validación del modelo fue realizada con datos reales. En 21 días fueron predichos 18.640 casos de COVID-19 de 20.400 casos informados. El pico máximo de COVID-19 fue estimado 21 días antes con la intensidad esperada.

Post-ischemic protein restriction induces sustained neuroprotection, neurological recovery, brain remodeling, and gut microbiota rebalancing.

BACKGROUND: Moderate dietary protein restriction confers neuroprotection when applied before ischemic stroke. How a moderately protein-reduced diet influences stroke recovery when administered after stroke, is a clinically relevant question. This question has not yet been investigated. METHODS: Male C57BL6/J mice were exposed to transient intraluminal middle cerebral artery occlusion. Immediately after the stroke, mice were randomized to two normocaloric diets: a moderately protein-reduced diet containing 8% protein (PRD) or normal diet containing 20% protein (ND). Post-stroke neurological deficits were evaluated by a comprehensive test battery. Antioxidant and neuroinflammatory responses in the brain and liver were evaluated by Western blot and RTqPCR. Stroke-induced brain injury, microvascular integrity, glial responses, and neuroplasticity were assessed by immunohistochemistry. Fecal microbiota analysis was performed using 16S ribosomal RNA amplicon sequencing. RESULTS: We show that PRD reduces brain infarct volume after three days and enhances neurological and, specifically, motor-coordination recovery over six weeks in stroke mice. The recovery-promoting effects of PRD were associated with increased antioxidant responses and reduced neuroinflammation. Histochemical studies revealed that PRD increased long-term neuronal survival, increased peri-infarct microvascular density, reduced microglia/macrophage accumulation, increased contralesional pyramidal tract plasticity, and reduced brain atrophy. Fecal microbiota analysis showed reduced bacterial richness and diversity in ischemic mice on ND starting at 7 dpi. PRD restored bacterial richness and diversity at these time points. CONCLUSION: Moderate dietary protein restriction initiated post-ischemic stroke induces neurological recovery, brain remodeling, and neuroplasticity in mice by mechanisms involving antiinflammation and, in the post-acute phase, commensal gut microbiota rebalancing.

Identifying Associated Factors for Illegal Acts among Patients with Gambling Disorder and ADHD.

Illegal behaviors have been reported in gambling disorder (GD) as well as in individuals with attention deficit hyperactivity disorder (ADHD). Likewise, ADHD symptomatology has been observed in patients with GD. We aimed to examine the association between ADHD symptomatology, personality traits and impulsivity in a sample of treatment-seeking patients with GD (n = 204) with and without a criminal report. The subjects were evaluated before starting treatment using different self-administered instruments. Among those who had committed an illegal act, two groups were made depending on whether or not the criminal conduct had legal repercussions (n = 64 without legal consequences; n = 32 with legal consequences). Structural equation modeling (SEM) was used to explore the interrelationships between personality traits, ADHD, impulsivity levels, gambling-related criminal behavior and other gambling-related factors. Greater ADHD symptomatology was found in patients with reported illegal behaviors, as well as higher impulsivity levels. Those individuals who presented legal consequences due to the criminal behavior showed higher impulsivity levels and harm avoidance and lower persistence and cooperativeness. Our findings uphold that patients with GD and ADHD symptomatology have greater impulsivity and are more vulnerable to committing an illegal act. Therefore, specific harm-prevention interventions and treatment approaches are needed for this population.

Clinical Features of Gambling Disorder Patients with and Without Food Addiction: Gender-Related Considerations.

Although food addiction (FA) is a debated condition and it is not currently recognized as a formal diagnosis, it shares features with other addictions, such as gambling disorder (GD). However, the prevalence of FA in GD and the clinical correlates are incompletely understood, especially within women versus men. To investigate FA in patients presenting with GD. The sample included 867 patients diagnosed with GD (798 males and 69 females) attending a specialized behavioral addictions unit. FA was observed in 8.3% of GD patients (18.8% of women, 7.4% of men). More psychopathology and harm avoidance, greater body mass indices and less self-directedness and cooperativeness were associated with FA. In women, FA was associated with a longer GD duration. In men, FA was associated with earlier GD onset, greater GD and problematic alcohol use severities. Among patients with GD, FA was associated with more psychopathology and gambling patterns suggestive of more protracted or severe GD. Screening for and addressing FA condition in patients with GD may help optimize preventive and therapeutic approaches. Future studies should consider testing guidelines to improve healthy eating habits, increase physical exercise and better manage stress and other negative emotions in order to target FA in GD.

Risk patterns in food addiction: a Mexican population approach.

BACKGROUND: Food addiction (FA) is a construct that has gained interest in recent years but its relevance in Mexican population is still unexplored. AIMS: The present study has the aims of explore FA in a community of Mexican population, as well as identifying the risk patterns associated with it, in relation to the different etiological factors that have been described such as impulsivity, emotional regulation and eating styles. Furthermore, to identify a predictive model of FA severity. METHODS: The sample consisted of 160 female and male university students of Pachuca city in México, who volunteered to participate in the study. Assessment included multidimensional measures for FA, eating disorder severity, eating disorder styles, emotional regulation and impulsivity. RESULTS: A screening of FA-probable was registered for 13.8% of the sample, while 8.1% met criteria for FA-present. The FA-present group differed from FA-absent in the impulsivity levels and in emotional eating style. Patients with FA-present differed from FA-probable in the impulsivity levels. Differences between FA-probable versus FA-absent were found in the restrained eating style. Path analysis evidenced that FA severity was directly associated with older age, worse eating style profile and higher impulsivity levels, and indirectly related with the ED symptom levels. CONCLUSIONS: Our findings suggest that it is possible to establish a specific predictive model of the development of FA and its severity in Mexican population to implement adequate prevention and treatment strategies. EVIDENCE LEVEL: Level III: evidence obtained from well-designed cohort or case-control analytic studies.

Clustering Treatment Outcomes in Women with Gambling Disorder.

The rising prevalence of gambling disorder (GD) among women has awakened considerable interest in the study of therapeutic outcomes in females. This study aimed to explore profiles of women seeking treatment for GD based on a set of indicators including sociodemographic features, personality traits, clinical state at baseline, and cognitive behavioral therapy (CBT) outcomes. Two-step clustering, an agglomerative hierarchical classification system, was applied to a sample of n = 163 women of ages ranging from 20 to 73 years-old, consecutively attended to by a clinical unit specialized in the treatment of G. Three mutually exclusive clusters were identified. Cluster C1 (n = 67, 41.1%) included the highest proportion of married, occupationally active patients within the highest social status index. This cluster was characterized by medium GD severity levels, the best psychopathological functioning, and the highest mean in the self-directedness trait. C1 registered 0% dropouts and only 14.9% relapse. Cluster C2 (n = 63; 38.7%) was characterized by the lowest GD severity, medium scores for psychopathological measures and a high risk of dropout during CBT. Cluster C3 (n = 33; 20.2%) registered the highest GD severity, the worst psychopathological state, the lowest self-directedness level and the highest harm-avoidance level, as well as the highest risk of relapse. These results provide new evidence regarding the heterogeneity of women diagnosed with GD and treated with CBT, based on the profile at pre- and post-treatment. Person-centered treatments should include specific strategies aimed at increasing self-esteem, emotional regulation capacities and self-control of GD women.