Doomscrolling is a fairly new concept in mental health research which has attracted significant attention in recent years. Doomscrolling involves individuals spending excessive time online reading unpleasant news, and leading to negative emotional states (e.g., sadness, anxiety, anger, etc.). Several studies have found that doomscrolling is associated with lower quality of life, poorer mental well-being, and problematic technology use. In Italy, there is a lack of instruments to assess this construct. Therefore, the main objective of the present study was to validate both the 15-item and four-item Doomscrolling Scale (DSS) to fill this gap. The sample comprised 300 Italians (70.7% females), with a mean age of 38.02 years (SD = ± 13.08). Participants completed an online survey comprising the DSS, Depression Anxiety Stress Scale (DASS-21), Warwick-Edinburgh Mental Well-Being Scale (WEMWBS), Satisfaction With Life Scale (SWLS), and Bergen Social Media Addiction Scale (BSMAS). The results of confirmatory factor analysis supported a first-order one-factor scale, with satisfactory fit indices. The DSS showed good internal consistencies (Cronbach alpha = 0.96 and McDonald omega = 0.96). Additionally, the DSS score was positively associated with scores on the BSMAS and DASS-21, and negatively associated with scores on the WEMWBS and SWLS. The short version of the DSS also demonstrated very good psychometric characteristics. The findings indicate that the both versions of the DSS are psychometrically reliable and valid measures for assessing doomscrolling activity among Italian adults. The study expands the literature regarding factors related to doomscrolling behavior.

Gender dysphoria stems from incongruence between gender identity and assigned sex, often causing significant distress related to breast anatomy in transmasculine individuals. Gender-affirming hormone therapy typically precedes mastectomy, which is a fundamental intervention in transgender healthcare. Surgical challenges arise in patients with large breasts on lean frames, requiring customized techniques to achieve a natural, proportional, androgynous chest. This case report describes a 23-year-old transmasculine patient with macromastia and a tall, lean build who underwent gender-affirming mastectomy with free nipple grafts and muscular sculpture aimed at an androgynous esthetic. Pre- and postoperative evaluations showed marked improvements in body image, physical strength performance, and emotional well-being. Psychological assessments revealed significant reductions in body uneasiness and gender dysphoria, while human figure drawings demonstrated increasing bodily integration and identity congruence. A general improvement in physical performance over time was reported, particularly in upper body strength, with minor fluctuations potentially related to the surgical intervention and recovery phase. The narrative literature review supports these outcomes, highlighting satisfaction rates above 90%, minimal regret, and consistent gains in psychosocial functioning and sexual and mental health, including reduced anxiety and depression. This evidence reinforces that gender-affirming mastectomy is medically necessary, particularly when tailored to individual anatomical and esthetic needs, affirming identity and alleviating distress.

Background: In recent decades, interest has grown in the link between lipid metabolism and mental health. Omega-3 fatty acids (EPA and DHA) play a crucial role in brain function, neuroplasticity, and emotional regulation. Deficiency or an imbalanced omega-6/omega-3 ratio, typical of Western diets, has been associated with an increased risk of mood disorders, such as major depression and bipolar disorder. Objective: This review critically synthesizes neurobiological and clinical evidence on the role of omega-3s in mood disorders, assessing mechanisms, randomized controlled trials, and meta-analyses, with a focus on inflammatory biomarkers and their integration into a personalized psychiatry framework. Methods: A narrative review of epidemiological studies, randomized controlled trials (RCTs), meta-analyses, and experimental research was conducted, evaluating mechanistic pathways (synaptic, inflammatory, neuroplastic, and redox) and clinical moderators (particularly inflammatory markers and dietary lipid profiles). Results: Consistent evidence indicates that EPA-enriched formulations (≥60%) exert antidepressant effects, particularly in patients with elevated inflammatory markers (CRP, IL-6, TNF-α). In contrast, DHA-only preparations show limited efficacy, and outcomes vary depending on dietary omega-6/omega-3 balance. However, the literature remains heterogeneous in design, sample size, and biomarker stratification, which limits generalizability and contributes to conflicting findings across studies. Conclusions: While omega-3 fatty acids represent promising adjunctive interventions for mood disorders, methodological weaknesses and inconsistent formulations hinder definitive conclusions. Future research should prioritize biomarker-guided, precision-based approaches to clarify therapeutic efficacy and optimize clinical use.

Major depressive disorder (MDD) affects approximately 280 million people worldwide, yet conventional pharmacotherapy achieves remission in only 30–50% of patients, intensifying the search for novel biological substrates. This systematic review, conducted according to PRISMA 2020 guidelines across six electronic databases (2014–March 2025), synthesised 89 studies examining gut microbiota composition in adults with MDD compared to healthy controls. MDD was consistently associated with reduced alpha diversity and a recurrent dysbiotic pattern, herein proposed as a depressive dysbiosis signature, characterised by depletion of butyrate-producing genera (Faecalibacterium, Roseburia, Eubacterium, Coprococcus) and enrichment of pro-inflammatory taxa (Alistipes, Eggerthella, Streptococcus). While this pattern was observed across multiple cohorts, significant inter-study heterogeneity precludes its definition as a universal microbial signature for MDD. Beta diversity analyses demonstrated robust compositional separation between cohorts. Plausible mechanistic pathways included compromised short-chain fatty acid production, increased intestinal permeability, low-grade systemic inflammation, tryptophan shunting toward the kynurenine pathway, and hypothalamic–pituitary–adrenal axis dysregulation. Preclinical faecal microbiota transplantation provided translational evidence consistent with a causal interpretation, while randomised probiotic trials demonstrated significant reductions in depressive symptom severity compared with placebo. Probiotic effects are strain-specific according to ISAPP consensus; generalisation across strains is not warranted. Gut microbiota dysbiosis represents a biologically plausible mediator of depression pathophysiology, with a recurrent dysbiotic pattern, characterised by depletion of butyrate-producing taxa and enrichment of pro-inflammatory genera, showing emerging diagnostic and therapeutic potential.

Background: Artificial intelligence (AI)-driven conversational systems are increasingly capable of simulating empathy, adapting to individual users, and fostering emotional bonds that blur the boundary between tool and companion. This scoping review maps the extent and nature of published evidence regarding psychological mechanisms underlying emotional reliance on AI chatbots and associated mental health implications. Methods: Conducted in accordance with PRISMA-ScR guidelines, we systematically searched PubMed/MEDLINE, PsycINFO, Web of Science, Scopus, and IEEE Xplore from database inception to March 2026. Two independent reviewers screened records and extracted data using the PCC (Population, Concept, Context) framework. Thematic synthesis was performed to map evidence across psychological, clinical, and developmental domains. Results: Of 1847 records identified, 46 studies met inclusion criteria. Key themes included: (1) the ELIZA effect as a foundational mechanism of human–AI attachment, with documented cases of severe dependency including fatal outcomes; (2) anthropomorphization and artificial intimacy fostered by adaptive, personalized AI design; (3) proposal of Generative AI Dependency (GAID) as a conceptual framework mapping onto behavioral addiction components, pending empirical validation; (4) particular vulnerability of adolescents and lonely individuals to exclusive affective bonds with AI; and (5) potential erosion of human relational capacities, empathy development, and tolerance for interpersonal complexity. Significant gaps were identified in longitudinal research, validated screening tools, and intervention protocols. Conclusions: Emotional reliance on AI represents an emerging clinical phenomenon with addiction-like features requiring specific diagnostic frameworks, evidence-based interventions, and ethical design guidelines. Future research should prioritize longitudinal studies examining developmental impacts and neurobiological investigations of AI-mediated reinforcement mechanisms.