Combining Mini-Mental State Examination and Montreal Cognitive Assessment for assessing the clinical efficacy of cholinesterase inhibitors in mild Alzheimer's disease: a pilot study.

Current drugs for Alzheimer's Disease (AD), such as cholinesterase inhibitors (ChEIs), exert only symptomatic activity. Different psychometric tools are needed to assess cognitive and non-cognitive dimensions during pharmacological treatment. In this pilot study, we monitored 33 mild-AD patients treated with ChEIs. Specifically, we evaluated the effects of 6 months (Group 1 = 17 patients) and 9 months (Group 2 = 16 patients) of ChEIs administration on cognition with the Mini-Mental State Examination (MMSE), the Montreal Cognitive Assessment (MoCA), and the Frontal Assessment Battery (FAB), while depressive symptoms were measured with the Hamilton Depression Rating Scale (HDRS). After 6 months (Group 1), a significant decrease in MoCA performance was detected. After 9 months (Group 2), a significant decrease in MMSE, MoCA, and FAB performance was observed. ChEIs did not modify depressive symptoms. Overall, our data suggest MoCA is a potentially useful tool for evaluating the effectiveness of ChEIs.

Low TGF-ß1 plasma levels are associated with cognitive decline in Down syndrome.

Almost all individuals with Down's syndrome (DS) show the characteristic neuropathological features of Alzheimer's disease (AD) by the age of 40, yet not every individual with DS experiences symptoms of AD later in life. Similar to neurotypical developing subjects, AD in people with DS lasts for a long preclinical phase in which biomarkers follow a predictable order of changes. Hence, a prolonged asymptomatic period precedes the onset of dementia, underscoring the importance of identifying new biomarkers for the early detection and monitoring of cognitive decline in individuals with DS. Blood-based biomarkers may offer an alternative non-invasive strategy for the detection of peripheral biological alterations paralleling nervous system pathology in an early phase of the AD continuum. In the last few years, a strong neurobiological link has been demonstrated between the deficit of transforming growth factor-ß1 (TGF-ß1) levels, an anti-inflammatory cytokine endowed with neuroprotective activity, and early pro-inflammatory processes in the AD brain. In this clinical prospective observational study, we found significant lower plasma TGF-ß1 concentrations at the first neuropsychological evaluation (baseline = T0) both in young adult DS individuals (19-35 years) and older DS subjects without AD (35-60 years) compared to age- and sex-matched healthy controls. Interestingly, we found that the lower TGF-ß1 plasma concentrations at T0 were strongly correlated with the following cognitive decline at 12 months. In addition, in young individuals with DS, we found, for the first time, a negative correlation between low TGF-ß1 concentrations and high TNF-α plasma concentrations, a pro-inflammatory cytokine that is known to be associated with cognitive impairment in DS individuals with AD. Finally, adopting an ex vivo approach, we found that TGF-ß1 concentrations were reduced in parallel both in the plasma and in the peripheral blood mononuclear cells (PBMCs) of DS subjects, and interestingly, therapeutic concentrations of fluoxetine (FLX) applied to cultured PBMCs (1 µM for 24 h) were able to rescue TGF-ß1 concentrations in the culture media from DS PBMCs, suggesting that FLX, a selective serotonin reuptake inhibitor (SSRI) endowed with neuroprotective activity, might rescue TGF-ß1 concentrations in DS subjects at higher risk to develop cognitive decline.

The dynamic interaction between symptoms and pharmacological treatment in patients with major depressive disorder: the role of network intervention analysis.

INTRODUCTION: The Major Depressive Disorder (MDD) is a mental health disorder that affects millions of people worldwide. It is characterized by persistent feelings of sadness, hopelessness, and a loss of interest in activities that were once enjoyable. MDD is a major public health concern and is the leading cause of disability, morbidity, institutionalization, and excess mortality, conferring high suicide risk. Pharmacological treatment with Selective Serotonin Reuptake Inhibitors (SSRIs) and Serotonin Noradrenaline Reuptake Inhibitors (SNRIs) is often the first choice for their efficacy and tolerability profile. However, a significant percentage of depressive individuals do not achieve remission even after an adequate trial of pharmacotherapy, a condition known as treatment-resistant depression (TRD). METHODS: To better understand the complexity of clinical phenotypes in MDD we propose Network Intervention Analysis (NIA) that can help health psychology in the detection of risky behaviors, in the primary and/or secondary prevention, as well as to monitor the treatment and verify its effectiveness. The paper aims to identify the interaction and changes in network nodes and connections of 14 continuous variables with nodes identified as "Treatment" in a cohort of MDD patients recruited for their recent history of partial response to antidepressant drugs. The study analyzed the network of MDD patients at baseline and after 12 weeks of drug treatment. RESULTS: At baseline, the network showed separate dimensions for cognitive and psychosocial-affective symptoms, with cognitive symptoms strongly affecting psychosocial functioning. The MoCA tool was identified as a potential psychometric tool for evaluating cognitive deficits and monitoring treatment response. After drug treatment, the network showed less interconnection between nodes, indicating greater stability, with antidepressants taking a central role in driving the network. Affective symptoms improved at follow-up, with the highest predictability for HDRS and BDI-II nodes being connected to the Antidepressants node. CONCLUSION: NIA allows us to understand not only what symptoms enhance after pharmacological treatment, but especially the role it plays within the network and with which nodes it has stronger connections.

A network study to differentiate suicide attempt risk profiles in male and female patients with major depressive disorder.

Suicide attempts are a possible consequence of Major Depressive Disorder (MDD), although their prevalence varies across different epidemiological studies. Suicide attempt is a significant predictor of death by suicide, highlighting its importance in understanding and preventing tragic outcomes. Researchers are increasingly recognizing the need to study the differences between males and females, as several distinctions emerge in terms of the characteristics, types and motivations of suicide attempts. These differences emphasize the importance of considering gender-specific factors in the study of suicide attempts and developing tailored prevention strategies. We conducted a network analysis to represent and investigate which among multiple neurocognitive, psychosocial, demographic and affective variables may prove to be a reliable predictor for identifying the 'suicide attempt risk' (SAR) in a sample of 81 adults who met DSM-5 criteria for MDD. Network analysis resulted in differences between males and females regarding the variables that were going to interact and predict the SAR; in particular, for males, there is a stronger link toward psychosocial aspects, while for females, the neurocognitive domain is more relevant in its mnestic subcomponents. Network analysis allowed us to describe otherwise less obvious differences in the risk profiles of males and females that attempted to take their own lives. Different neurocognitive and psychosocial variables and different interactions between them predict the probability of suicide attempt unique to male and female patients.

PsyCARE study: assessing impact, cost-effectiveness, and transdiagnostic factors of the Italian ministry of health's "psychological bonus" policy.

BACKGROUND: The prevalence of anxiety and depression disorders is surging worldwide, prompting a pressing demand for psychological interventions, especially in less severe cases. Responding to this need, the Italian government implemented the "Psychological Bonus" (PB) policy, allotting 25 million euros for mental health support. This policy entitles individuals to a minimum of four to twelve psychological sessions. In collaboration with the National Board of Italian Psychologists, our study assesses this policy's effectiveness. Indeed, the PsyCARE study aims to examine the utilization of the Psychological Bonus, evaluate its impact on adult and adolescent participants' psychological well-being through pre- and post-intervention assessments and six-month follow-up, and conduct a longitudinal cost-effectiveness analysis of this policy. A secondary aim is to investigate the influence of these interventions on transdiagnostic factors, including emotion regulation and epistemic trust. METHODS: The study involves licensed psychotherapists and their patients, both adults and adolescents, benefiting from the Psychological Bonus. Data collection is underway and set to conclude in December 2023. Psychotherapists will provide diagnostic information and assess patient functioning. In addition, patients will be evaluated on mental health aspects such as clinical symptoms, emotion regulation, epistemic trust, and quality of life. We will employ linear mixed-effects models to analyze the outcomes, accounting for both fixed and random effects to capture the hierarchical structure of the data. DISCUSSION: We anticipate the study's findings will highlight reduced psychological distress and improved quality of life for participants and demonstrate the Psychological Bonus policy's cost-effectiveness. The study will gather data on the role of specific versus nonspecific therapeutic factors in psychotherapy while adopting a patient-tailored approach to identify effective therapeutic elements and examine transdiagnostic factors. Overall, this study's findings will guide future measures within the Italian healthcare system, fostering a psychological health culture and providing valuable insights to the broader public. STUDY REGISTRATION: https://osf.io/6zk2j.

Professional quality of life and psychopathological symptoms among first-line healthcare workers facing COVID-19 pandemic: an exploratory study in an Italian southern hospital.

Background: The COVID-19 pandemic has significantly affected the mental health of healthcare workers, who have taken on the major problems triggered by the emergency. The mental consequences concern high levels of insomnia, anxiety, depression and burnout, which inevitably affect their professional quality of life too. Objective: The aim of this study was to analyze the relationship between psychopathological symptoms (tested with the Depression Anxiety Stress Scale, DASS-21) and professional quality of life (measured with the Professional Quality of Life Scale, ProQol) in a hospital of southern Italy. Methods: 204 healthcare workers were recruited by non-probabilistic sampling and divided by age, gender, work roles (physicians, nurses and intermediate care technicians) and clinical departments (Cardio-medicine, Infectious Diseases, Emergency Medicine, First Aid, Obstetrics and Pneumology). Results: The results showed higher levels of Secondary Traumatic Stress, Depression, Anxiety and Stress in women than in men. Physicians and nurses experienced lower levels of Compassion Satisfaction but higher Burnout than intermediate care technicians; likewise, nurses were more anxious than physicians. The Emergency Medicine had higher scores in Compassion Satisfaction than Infectious Disease, Pneumology, Obstetrics and Cardio-Medicine. Conclusion: In light of what has been said so far, it appears essential to intervene on the first mild signs of Burnout and Secondary Traumatic Stress, because they precede the onset of Depression, Stress and Anxiety in healthcare workers.

Predictors of functional outcome in patients with major depression and bipolar disorder: A dynamic network approach to identify distinct patterns of interacting symptoms.

The purpose of this study is to use a dynamic network approach as an innovative way to identify distinct patterns of interacting symptoms in patients with Major Depressive Disorder (MDD) and patients with Bipolar Type I Disorder (BD). More precisely, the hypothesis will be testing that the phenotype of patients is driven by disease specific connectivity and interdependencies among various domains of functioning even in the presence of underlying common mechanisms. In a prospective observational cohort study, hundred-forty-three patients were recruited at the Psychiatric Clinic "Villa dei Gerani" (Catania, Italy), 87 patients with MDD and 56 with BD with a depressive episode. Two nested sub-groups were treated for a twelve-week period, which allowed us to explore differences in the pattern of symptom distribution (central vs. peripheral) and their connectedness (strong vs weak) before (T0) and after (T1) treatment. All patients underwent a complete neuropsychological evaluation at baseline (T0) and at T1. A network structure was computed for MDD and BD patients at T0 and T1 from a covariance matrix of 17 items belonging to three domains-neurocognitive, psychosocial, and mood-related (affective) to identify what symptoms were driving the networks. Clinically relevant differences were observed between MDD and BD, at T0 and after 12 weeks of pharmacological treatment. At time T0, MDD patients displayed an affective domain strongly connected with the nodes of psychosocial functioning, while direct connectivity of the affective domain with the neurocognitive cluster was absent. The network of patients with BD, in contrast, revealed a cluster of highly interconnected psychosocial nodes but was guided by neurocognitive functions. The nodes related to the affective domain in MDD are less connected and placed in the periphery of the networks, whereas in BD they are more connected with psychosocial and neurocognitive nodes. Noteworthy is that, from T0 to T1 the "Betweenness" centrality measure was lower in both disorders which means that fewer "shortest paths" between nodes pass through the affective domain. Moreover, fewer edges were connected directly with the nodes in this domain. In MDD patients, pharmacological treatment primarily affected executive functions which seem to improve with treatment. In contrast, in patients with BD, treatment resulted in improvement of overall connectivity and centrality of the affective domain, which seems then to affect and direct the overall network. Though different network structures were observed for MDD and BD patients, data suggest that treatment should include tailored cognitive therapy, because improvement in this central domain appeared to be fundamental for better outcomes in other domains. In sum, the advantage of network analysis is that it helps to predict the trajectory of future phenotype related disease manifestations. In turn, this allows new insights in how to balance therapeutic interventions, involving different fields of function and combining pharmacological and non-pharmacological treatment modalities.

The Therapist's Intuition and Responsiveness: What Makes the Difference between Expert and in Training Gestalt Psychotherapists.

This study aims to investigate the presence of intuition and responsiveness in early students and in experienced students and psychotherapists, which is understood as the ability to integrate bodily sensitivity and cognition of what is experienced with the patient (aesthetic relational knowing-ARK). The study compares how the therapist's felt sense of the phenomenological intersubjective field and aesthetic relational competence differs between a group of experienced students and psychotherapists and a group of beginners. The sample consisted of 128 participants (20 M; 108 F), finally divided into two groups: "experienced students and psychotherapists" and "beginners". The Aesthetic Relational Knowledge Scale (ARKS), a questionnaire consisting of 58 items targeting three factors (empathy, body awareness, and resonance), was administered. Statistical analyses were conducted to assess (i) differences between the two groups (through Student's t and Cohen's d for effect sizes), (ii) the influence of the level of training for each ARK factor using analyses of covariance for testing the possible influence of demographic variables, and (iii) logistic regressions to compare the influence of the three factors of the ARK model on the group variable with groups as a categorical variable. Significant differences between the two groups were found in body awareness and resonance. Body awareness was found to be the variable best discriminating between the beginners and the experienced students and psychotherapists. Despite being non-significant, there is a tendency suggesting that empathy appears more relevant at the beginning of training. The study shows the importance of training for the development of the therapist's intuition and responsiveness, especially in the factors of body awareness and resonance. The results indicate the importance of assessing and supporting the aesthetic and field resonance of therapists in training, increasing quality and depth of the therapist's responsiveness. This study is limited by a correlational design using self-report and on a limited sample, but it shows that the ARKS can monitor the effectiveness of training related to Gestalt therapeutic competencies.

The Roles of Anxiety and Self-Esteem in the Risk of Eating Disorders and Compulsive Buying Behavior.

In contemporary society, following the sudden changes that occur, different forms of addiction are becoming popular. Of note are the new addictions and concepts of poly-dependencies that involve common behaviors and trap people who suffering from them in a vicious circle. The main goal of this study is to investigate the possible mediating role that self-esteem had between trait anxiety and two specific new addictions: compulsive buying behavior and eating disorders. Furthermore, it was verified through a multigroup analysis that trait anxiety had a greater effect on eating disorders in a group of compulsive consumers. Three-hundred and fifty-two participants (67.9% women) were enrolled to participate in this study. The results showed that there was a direct effect of trait anxiety on eating disorders and on compulsive buying behavior; self-esteem mediated the effect of trait anxiety on eating disorders and compulsive buying behavior with specific differences; multi-group analysis showed differences in anxiety's effect on eating disorders between compulsive and non-compulsive consumers; the group of compulsive consumers revealed a significant and stronger effect of trait anxiety on eating disorders in all domains identified. Further research is recommended to better understand the predictors of these disorders and to contribute to a more effective preventive intervention.

Investigating the Buffering Effects of Greenery on the Adverse Emotional, Mental and Behavioral Health during the Pandemic Period.

In light of the adverse emotional, mental and behavioral outcomes caused by the pandemic period, this research analyzed the associations between emotional distress and poor health outcomes and the buffering effects of greenery on these outcomes. An online cross-sectional survey between June-November 2021 was distributed among 1314 young Italian adults. Bivariate associations and multivariate regression analyses were applied to the data. Findings showed that emotional distress was positively related to poor mental health outcomes and to some of the unhealthy behaviors. In addition, green pathways differently impacted on health: the indoor features confirmed buffering effects on adverse emotional and mental health responses, whereas the outdoor features played no salutogenic role. In conclusion, whereas the outbreak period of the pandemic has led to the rediscovering/reinforcement of the attachment to nature to cope with negative affective states, the successive waves characterized by selected limitations and new living rules of social adaptation may have brought about a reduced affinity toward nature. Target interventions in terms of biophilic design for indoor environmental sustainability are needed in order to increase the innate human-nature connection and thus to promote public health.

Facial Expression Time Processing in Typical Development and in Patients with Congenital Facial Palsy.

Temporal dynamics of behavior, particularly facial expressions, are fundamental for communication between individuals from very early in development. Facial expression processing has been widely demonstrated to involve embodied simulative processes mediated by the motor system. Such processes may be impaired in patients with congenital facial palsy, including those affected by Moebius syndrome (MBS). The aims of this study were to investigate (a) the role of motor mechanisms in the processing of dynamic facial expression timing by testing patients affected by congenital facial palsy and (b) age-dependent effects on such processing. Accordingly, we recruited 38 typically developing individuals and 15 individuals with MBS, ranging in age from childhood to adulthood. We used a time comparison task where participants were asked to identify which one of two dynamic facial expressions was faster. Results showed that MBS individuals performed worse than controls in correctly estimating the duration of facial expressions. Interestingly, we did not find any performance differences in relation to age. These findings provide further evidence for the involvement of the motor system in processing facial expression duration and suggest that a sensorimotor matching mechanism may contribute to such timing perception from childhood.

The COVID-19 Pandemic and Posttraumatic Stress Disorder: Emotional Impact on Healthcare Professions.

The COVID-19 pandemic, which began in March 2020, has resulted in the deaths of hundreds of thousands of people around the world in just a few months, putting at great risk the commitment of healthcare workers unprepared to manage a worldwide phenomenon at great risk. In the early stages especially, medical staff had to deal with the pandemic at the expense of their physical and mental health, putting them particularly at risk for experiencing posttraumatic stress disorder (PTSD). The study aims to analyze the psychopathological aspects associated with PTSD, focusing on the emotional impact caused by the COVID-19 pandemic on healthcare professionals compared with a control group. The sample analyzed over 2 months, from March to May 2021, included 214 participants into two groups, i.e., healthcare professionals (N = 107) and a control group (N = 107). The online assessment instrument used consisted of an anonymous questionnaire, assembled ad hoc with demographic information and different standardized assessment scales (e.g., Fear of COVID-19 scale, Profile of Mood States, and Maslach Burnout Inventory-Human Services Survey), while a further section of the survey used the DSM-5 criteria to investigate Posttraumatic stress disorder (e.g., COVID-19-PTSD). The results reported that healthcare professionals had a consistent perception of stress (mean = 26.18, SD = 14.60), but not at a level significantly higher than other categories of workers (mean = 25.75, SD = 14.65; t = 0.20, p = 0.84). However, they showed less emotional disturbance than the control sample, better anxiety management skills, and lower levels of depressive disorder and mental confusion. Specifically, the healthcare professionals showed a condition of emotional exhaustion (T = 0.64, D = 0.74, A = 0.62, S = 0.75, C = 0.64) and depersonalization (T = 0.41, D = 0.52, A = 0.49, S = 0.60, C = 0.40), which is common in the burnout syndrome. In conclusion, the results obtained are useful in understanding the determinants of the emotional involvement of healthcare professions and the risk of burnout syndrome and, therefore, for planning activities and support paths for these workers who are particularly at risk during prolonged and pervasive crises, such as the pandemic.

The Apathy Evaluation Scale (AES-C): Psychometric Properties and Invariance of Italian Version in Mild Cognitive Impairment and Alzheimer's Disease.

Apathy is a neuropsychiatric symptom observed in different neurological and psychiatric disorders. Although apathy is considered a symptom, it has been recently reconsidered as a syndrome characterised by three dimensions: cognitive symptoms, affective symptoms and behavioural symptoms. Recent studies have shown that apathy can be considered as a prodromal symptom of Alzheimer's disease (AD), but also an indicator of the transition from mild cognitive impairment to AD. According to this scenario, an early detection of apathy in subjects with Mild Cognitive Impairment (MCI) and Mild AD can be a valid psychometric strategy to improve an early diagnosis and promote a prompt intervention. The Apathy Evaluation Scale is a validated tool composed of 18 items that assess and quantify emotional, behavioural and cognitive aspects of apathy. The aim of this study is to assess the specific reliability and validity of the Italian version of the Apathy Evaluation Scale-Clinician Version (AES-C) to detect apathy both in amnestic MCI and mild AD patients. In the present paper, we therefore examined the psychometric properties and the invariance of the Italian Version of the AES-C conducted on a sample composed of an experimental group of amnestic MCI and AD patients (N = 107) and a control group (N = 107) constituted by Age- and Sex-matched healthy controls. Results confirm the goodness of the scale. Confirmatory factory analysis confirmed that the AES-C Italian Version presents the same stability of one second-order factor and three first-order factors identified in the original version, and all items are predicted by a single general factor. Moreover, the scale was found to be invariant across both populations. Moreover, reliability and discriminant analysis showed good values. We found in the experimental group a negative correlation between the AES-C and Frontal Assessment Battery (FAB) (rs = -0.21, p < 0.001) and Mini Mental State Examination (MMSE) (rs = -0.04, p < 0.001), while a positive correlation was found between the AES-C and Hamilton psychiatric Rating scale for Depression (HAM-D) scores (rs = 0.58, p < 0.001) Overall, our data demonstrated the validity of the Italian version of the AES-C for the assessment of apathy both in MCI and in AD patients.

Relations Between Mood States and Eating Behavior During COVID-19 Pandemic in a Sample of Italian College Students.

The fear of contagion during the COVID-19 pandemic has been indicated as a relevant cause of psychological pathologies occurring in this period. Food represents a compensating experience, distracting from the experiences of uncertainty, fear and despair, causing alterations in eating habits and behaviors. The study aims at evaluating the relations between fear of a pandemic, mood states and eating disorders in Italian college students, taking into account gender differences. During the lockdown for the pandemic, a sample of 469 college students equally distributed by gender, was recruited online using a questionnaire including the FCV-19S for the assessment of fear of COVID-19, the profile of mood states (POMS) for the evaluation of different emotional states, the eating disorder inventory-2 (EDI-2) and the binge eating scale (BES) to evaluate the presence of the levels of eating disorders. As expected, all emotive states measured by POMS (tension, depression, anger, tiredness, confusion) resulted significantly correlated with the fear of COVID-19. Women were more exposed to fear of COVID-19 showing greater tension, fatigue, depression and confusion, and a significantly higher total mood disturbance score than males. Regarding the EDI-2 and BES variables, tension and anxiety resulted significantly correlated also with bulimic behavior, while depression with interoceptive awareness, impulsivity, and binge eating behaviors, without gender differences. In conclusion, the negative impact of the fear of COVID-19 on the emotional profile and eating behavior suggests the need to implement strategies against psychological distress during the pandemic emergency, and to design psycho-educational interventions aimed at modifying the lifestyle for preventing risks of mental disorders fostering health-oriented behaviors.

Decent work and hope for the future among young migrants.

Work is a multidimensional construct that plays a crucial role in people's lives, assuring their psychological well-being, social connections, and self-determination. "Decent" work is conceptualized as a satisfactory job in conditions of equity, security, and respect for human rights. The paper reports the results of a study on the perception of the future and decent work in young immigrants, at risk of undertaking undignified and unsatisfactory jobs. The data were collected through a semi-structured interview, aimed at exploring the representations of decent work and hope. Data analysis was conducted through both qualitative and quantitative methods. The results of the study are discussed with reference to career counseling promoting decent work for immigrant people, activating the motivation to plan the future, including hope.

The evolution of self-injurious behaviors in people with intellectual disability and epilepsy: A follow-up study.

PURPOSE: Longitudinal studies of the evolution of Self-Injurious Behaviors (SIBs) in people with Intellectual Disability (ID) and epilepsy are not common. This study aimed to analyze the evolution (in terms of remission and persistence) and changes in the type, localization, frequency, and intensity of SIBs. METHODS: SIBs were assessed in a sample of 52 people with ID and epilepsy, and re-evaluated after a seven-year interval, using the "Scale for the Assessment of Self-Injurious Behaviors". The scale was administered to caregivers (parents or health professionals) through a semi-structured interview conducted by a specifically trained psychologist. RESULTS: The most frequent types of SIBs identified were: self-biting, self-hitting with objects, self-hitting with hand, object-finger in cavities. The main localizations of SIBs were: hands, mouth, head and cheeks. SIBs were found to be maintained after seven years, for type, localization, frequency, and intensity, in 90.4% of the sample. SIB types were stable over time, as were the affected areas. Global SIB frequency and intensity scores were found to be unchanged. Finally, a positive correlation was found between the frequency of SIBs and levels of intellectual disability. SIBs (frequency and intensity) and seizure frequency showed no correlation. CONCLUSION: Given the negative impact of SIBs on the adaptation and quality of life of people with ID and epilepsy, we believe that further studies on biological, psychological and environmental aspects are needed in order to identify any potential factors that might explain the persistence of SIBs and to find effective interventions to reduce them.

Stress among university students: the psychometric properties of the Italian version of the SBI-U 9 scale for Academic Burnout in university students.

Several authors have highlighted the importance of creating a useful tool to evaluate academic Burnout through the construction and validation of specific scales to evaluate academic Burnout. Based on the literature, the aim of this study is to evaluate in Italian university the psychometric properties of the SBI-U 9 scale for Academic Burnout in university students in Italy developed by Boada-Grau and colleagues. Study 1 (N=609) examined the factor structure of the scale (Male=45.6%, Female=54.4%; Mage= 21.9; SD=2.92). Study 2 (N=412) advanced the previous SBI-U 9 validation by testing its measurement equivalence across gender (Male=48.8%, Female= 51.2%) and different type of course of study (Technical-Mathematical-Scientific=33.5%, Medical- Scientific=32.5%, Scientific-Humanistic=34%) through Multigroup Confirmatory Factor Analysis. Results confirmed a one higher-order factor structure with three first-order factors, the scale was found to be invariant across gender and different type of course of study. The findings advanced the general claim of SBI-U 9 showed an important tool for detecting the academic Burnout in university students in the Italian context, this is confirmed by the good psychometric properties of the scale.

Antidepressant Drugs and Physical Activity: A Possible Synergism in the Treatment of Major Depression?

Major depressive disorder (MDD) is a severe mental illness that affects 5-20% of the general population. Current antidepressant drugs exert only a partial clinical efficacy because approximately 30% of depressed patients failed to respond to these drugs and antidepressants produce remission only in 30% of patients. This can be explained by the fact that the complex pathophysiology of depression has not been completely elucidated, and treatments have been mainly developed following the "monoaminergic hypothesis" of depression without considering the key role of other factors involved in the pathogenesis of MDD, such as the role of chronic stress and neuroinflammation. Chronic stress acts as a risk factor for the development of MDD through the impairment of neurotrophins signaling such as brain-derived neurotrophic factor (BDNF) and transforming-growth-factor-ß1 (TGF-ß1). Stress-induced depressive pathology contributes to altered BDNF level and function in MDD patients and, thereby, an impairment of neuroplasticity at the regional and circuit level. Recent studies demonstrate that aerobic exercise strongly increases BDNF production and it may contribute as a non-pharmacological strategy to improve the treatment of cognitive and affective symptoms in MDD. Here we will provide a general overview on the possible synergism between physical activity and antidepressants in MDD. Physical activity can synergize with antidepressant treatment by rescuing neurotrophins signaling in MDD patients, promoting neuronal health and recovery of function in MDD-related circuits, finally enhancing pharmacotherapeutic response. This synergism might be particularly relevant in elderly patients with late-life depression, a clinical subgroup with an increased risk to develop dementia.

Searching for Models for Psychological Science: A Possible Contribution of Simulation.

The problem of the theoretical precariousness of psychology requires defining, at an epistemological level, its concepts and languages and the use of models for finding core concepts and building more or less 'hard' theories. After reviewing some main aims and models of psychology, and comparing them with those of other sciences, the commentary deals with the possibility of simulating life as a tool for building evolutionary psychological models. In particular, evolutionary and developmental robotics and the evo-devo models can simulate the simultaneous adaptation effects of the phylogenetic and ontogenetic development of the embodied mind in response to the characteristics of the environment. The simulation using Artificial Intelligence and robotics could contribute significantly to the definition, experimentation, and validation of the models that make up the theories of psychology in its different domains, enhancing the interdisciplinarity with other sciences that study the same objects. Further studies, both epistemological and empirical, are suggested to confirm whether this evo-devo approach can be integrated with "evolutionary psychology" and contribute to a unifying meta-theory of psychological science.